# embeddings_queue

created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:40:6

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:40:6", "chroma:document": "o f\nt h e\nD e F i\ni n d u s t r y .\nU p c o m i n g\nl a y e r\n2\nt e c h n o l o g i e s\n( e . g .\nE t h e r e u m\nP l a s m a\no r\nC a r d a n o t\nH y d r a )\nw i l l\na l l o w\no f \ufb02 o a d i n g\nc o m p u t i n g\nf r o m\nt h e\nm a i n\nb l o c k c h a i n\nt o\ns i d e\nc h a i n s\na n d\ni n\nt h i s\nw a y\ni n c r e a s e\ni t s\ns c a l a b i l i t y .\nE x c h a n g e s\na r e\nk n o w n\nt o\ne x p e r i e n c e\ns u r g e s\no f\nh i g h - f r e q u e n c y\nt r a d i n g\na n d\nl o w - l a t e n c y\na r m e\nr a c e s\nw h i c h\na r e\nq u i t e\nr a r e\na n d\nr e q u i r e\na\nl o t\no f\ns p a r e\nc o m p u t e r\np o w e r\nt o\nb e\np r o v i s i o n e d\nb y\nc e n t r a l i z e d\ne x c h a n g e s\n.\nD e c e n t r a l i z e d\ne x c h a n g e s ,\nh o w e v e r ,\nm a y\na l l o w\n2 7\nh i g h\ns p e e d"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:40:7

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:40:7", "chroma:document": "e x c h a n g e s ,\nh o w e v e r ,\nm a y\na l l o w\n2 7\nh i g h\ns p e e d\nt r a d e r s\nt o\na c q u i r e\ns p e e d\na n d\nc o m p u t i n g\np o w e r\nf r o m\np e e r - t o - p e e r\nn e t w o r k s ,\n2 7\nB r o l l e y ,\nM i c h a e l\na n d\nZ o i c a n ,\nM a r i u s ,\nL i q u i d\ns p e e d :\nA\nc o n g e s t i o n\nf e e\nf o r\nl o w - l a t e n c y\ne x c h a n g e s\n( M a y\n2 2 , \n2 0 2 0 ) .\nR o t m a n\nS c h o o l\no f\nM a n a g e m e n t\nW o r k i n g\nP a p e r\nN o .\n3 3 7 7 3 4 6 ,\nE u r o p e a n\nF i n a n c e\nA s s o c i a t i o n\n2 0 2 0 \nH e l s i n k i .\n41"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:41:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:41:0", "chroma:document": "s u c h\na s\nN u N e t ,\no n\nd e m a n d .\nN u N e t \u2019 s\ni n - b u i l t\nd y n a m i c\np r i c i n g\no f\nc o m p u t i n g\nr e s o u r c e s\nm a y\np r o v i d e\ne c o n o m i c\nm e c h a n i s m s\nf o r\nc o m p u t i n g\nr e s o u r c e s\nt o\nb e\na l l o c a t e d\nw h e r e\nt h e r e\ni s\na\nn e e d .\nLarge partnerships\nA u t o m a t i n g\ns u p p l y\na n d\nd e l i v e r y\nc h a i n s\na r e\ns p e c i a l\nc a s e s\no f\nb u s i n e s s\np r o c e s s e s\ni n v o l v i n g\nl a r g e\nn u m b e r\no r\ni n d e p e n d e n t\ne c o n o m i c\ne n t i t i e s\nw h i c h\nf o r\nt e c h n o l o g i c a l ,\ne c o n o m i c\no r\nc o m p e t i t i v e\nr e a s o n s\nc a n n o t\nb e\nc o o r d i n a t e d\ni n\na\nc e n t r a l i z e d\nm a n n e r\n( e . g .\nc o m p e t i n g\ns h i p p e r s\nm a y\nn o t\nw a n t\nt o"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:41:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:41:1", "chroma:document": "m a n n e r\n( e . g .\nc o m p e t i n g\ns h i p p e r s\nm a y\nn o t\nw a n t\nt o\ns u b s c r i b e\no r\nt r u s t\na\nc e n t r a l l y\nm a n a g e d\nd a t a b a s e\no w n e d\nb y\na\nl a r g e\nc o m p e t i t o r ) ,\ny e t\nt h e\nc o o r d i n a t i o n\na n d\nr e a l - t i m e\ni n f o r m a t i o n\ne x c h a n g e\nw o u l d\nc l e a r l y\nb e n e \ufb01 t\na l l\np a r t i c i p a n t s\no f\nt h e\ne c o s y s t e m .\nS e c u r e\nd i s t r i b u t e d\nt r u s t\nt e c h n o l o g i e s\nc o m b i n i n g\np u b l i c\na n d\np e r m i s s i o n e d\nb l o c k c h a i n s\nm a y\nb e\ni n t e g r a t e d\nt o\nI o T\na n d\nA I\np r o c e s s e s\nf o r\ns u p p o r t i n g\nd i v e r s e\nb u s i n e s s\nm o d e l s\na n d\nc o m m e r c i a l\nc o l l a b o r a t i o n s\nw h i c h\nw e r e\nn o t\na v a i l a b l e\nb e f o r e"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:41:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:41:2", "chroma:document": "w h i c h\nw e r e\nn o t\na v a i l a b l e\nb e f o r e\n( e . g .\ni n\ns m a r t\np o w e r\ng r i d\nm a n a g e m e n t ,\nc o n n e c t e d\nh o u s e s ,\nu t i l i t y\nm a n a g e m e n t ,\ne t c . ) .\nA\ng l o b a l\nd e c e n t r a l i z e d\nc o m p u t i n g\nf r a m e w o r k\no f\nN u N e t\np r o v i d e s\na\nt e c h n o l o g i c a l\nb a s i s\nf o r\nb u i l d i n g\ns u c h\nc o l l a b o r a t i o n s\na n d\nc o m p u t i n g\nw o r k \ufb02 o w s ,\nl e v e r a g e d\nb y\nS i n g u l a r i t y N E T\na n d\no t h e r  p a r t n e r \u2019 s  e c o s y s t e m s .\n42"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:0", "chroma:document": "I m p o r t a n t  n o t i c e\nT h i s\nW h i t e p a p e r\ni n\ni t s\nc u r r e n t\nf o r m\ni s\nb e i n g\nc i r c u l a t e d\nb y\nN u N e t\nf o r\ng e n e r a l\ni n f o r m a t i o n\na n d\nt o\ni n v i t e\nf e e d b a c k\no n l y\no n\nt h e\nN u n e t\nP l a t f o r m\na s \np r e s e n t l y\nc o n c e i v e d ,\na n d\ni s\ns u b j e c t\nt o\nr e v i e w\na n d\nr e v i s i o n\nb y\nN u N e t . \u00a0\nN u N e t\nm a y\np o s t\nm o d i \ufb01 c a t i o n s ,\nr e v i s i o n s\na n d / o r\nu p d a t e d\nd r a f t s .\nN o\no t h e r \np a r t\no f\nt h i s\nW h i t e p a p e r\ni s\ni n t e n d e d\nt o\nc r e a t e\nl e g a l\nr e l a t i o n s\nb e t w e e n\na\nr e c i p i e n t\no f\nt h i s\nW h i t e p a p e r\no r\nt o\nb e\nl e g a l l y\nb i n d i n g\no r\ne n f o r c e a b l e\nb y \ns u c h\nr e c i p i e n t\na g a i n s t"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:1", "chroma:document": "o r\ne n f o r c e a b l e\nb y \ns u c h\nr e c i p i e n t\na g a i n s t\nN u N e t .\nA n\nu p d a t e d\nv e r s i o n\no f\nt h i s\nW h i t e p a p e r\nm a y\nb e\np u b l i s h e d\no n\na\nd a t e\nt o\nb e\nd e t e r m i n e d\na n d\na n n o u n c e d\nb y\nN u N e t\ni n \nd u e  c o u r s e  a n d  a n y  t o k e n  s a l e  w i l l  b e  g o v e r n e d  b y  s e p a r a t e  t e r m s  a n d  c o n d i t i o n s . \u00a0\nC a u t i o n a r y  n o t e  o n  f o r w a r d - l o o k i n g  s t a t e m e n t s \nA l l\ns t a t e m e n t s\nc o n t a i n e d\ni n\nt h i s\nW h i t e p a p e r ,\ns t a t e m e n t s\nm a d e\ni n\np r e s s\nr e l e a s e s\no r\ni n\na n y\np l a c e\na c c e s s i b l e\nb y\nt h e\np u b l i c\na n d\no r a l\ns t a t e m e n t s \nt h a t\nm a y\nb e\nm a d e\nb y\nN u N e t\no r\ni t s"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:2", "chroma:document": "o r a l\ns t a t e m e n t s \nt h a t\nm a y\nb e\nm a d e\nb y\nN u N e t\no r\ni t s\nd i r e c t o r s ,\ne x e c u t i v e\no f \ufb01 c e r s\no r\ne m p l o y e e s\na c t i n g\no n\nb e h a l f\no f\nN u N e t\n( a s\nt h e\nc a s e\nm a y\nb e ) ,\nt h a t\na r e\nn o t \ns t a t e m e n t s\no f\nh i s t o r i c a l\nf a c t ,\nc o n s t i t u t e\n\u201c f o r w a r d - l o o k i n g\ns t a t e m e n t s \u201d .\nS o m e\no f\nt h e s e\ns t a t e m e n t s\nc a n\nb e\ni d e n t i \ufb01 e d\nb y\nf o r w a r d - l o o k i n g\nt e r m s \ns u c h\na s\n\u201c a i m \u201d ,\n\u201c t a r g e t \u201d ,\n\u201c a n t i c i p a t e \u201d ,\n\u201c b e l i e v e \u201d ,\n\u201c c o u l d \u201d ,\n\u201c e s t i m a t e \u201d ,\n\u201c e x p e c t \u201d ,\n\u201c i f \u201d ,\n\u201c i n t e n d \u201d ,\n\u201c m a y \u201d ,\n\u201c p l a n \u201d ,\n\u201c p o s s i b l e \u201d ,\n\u201c p r o b a b l e \u201d ,\n\u201c p r o j e c t \u201d ,\n\u201c s h o u l d \u201d , \n\u201c w o u l d \u201d ,"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:3", "chroma:document": "\u201c p r o b a b l e \u201d ,\n\u201c p r o j e c t \u201d ,\n\u201c s h o u l d \u201d , \n\u201c w o u l d \u201d ,\n\u201c w i l l \u201d\no r\no t h e r\ns i m i l a r\nt e r m s .\nH o w e v e r ,\nt h e s e\nt e r m s\na r e\nn o t\nt h e\ne x c l u s i v e\nm e a n s\no f\ni d e n t i f y i n g\nf o r w a r d\nl o o k i n g\ns t a t e m e n t s .\nA l l \ns t a t e m e n t s\nr e g a r d i n g\nt h e\nN u N e t\nP l a t f o r m ,\nt h e\nn a t i v e\nc r y p t o g r a p h i c\nt o k e n s ,\nN u N e t \u2019 s\nb u s i n e s s\ns t r a t e g i e s ,\np l a n s\na n d\np r o s p e c t s\na n d\nt h e\nf u t u r e \np r o s p e c t s\no f\nt h e\ni n d u s t r y\nw h i c h\nN u N e t\ni s\ni n\na r e\nf o r w a r d - l o o k i n g\ns t a t e m e n t s .\nT h e s e\nf o r w a r d - l o o k i n g\ns t a t e m e n t s ,\ni n c l u d i n g\nb u t\nn o t\nl i m i t e d\nt o \ns t a t e m e n t s\na s"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:4", "chroma:document": "i n c l u d i n g\nb u t\nn o t\nl i m i t e d\nt o \ns t a t e m e n t s\na s\nt o\nN u N e t , ,\nf u t u r e\np l a n s ,\no t h e r\ne x p e c t e d\ni n d u s t r y\nt r e n d s\na n d\no t h e r\nm a t t e r s\nd i s c u s s e d\ni n\nt h i s\nW h i t e p a p e r\na r e\nm a t t e r s\nt h a t\na r e\nn o t \nh i s t o r i c  f a c t s ,  b u t  o n l y  p r e d i c t i o n s .\nT h e s e\nf o r w a r d - l o o k i n g\ns t a t e m e n t s\ni n v o l v e\nk n o w n\na n d\nu n k n o w n\nr i s k s ,\nu n c e r t a i n t i e s\na n d\no t h e r\nf a c t o r s\nt h a t\nm a y\nc a u s e\nt h e\na c t u a l\nf u t u r e\nr e s u l t s , \np e r f o r m a n c e\no r\na c h i e v e m e n t s\no f\nt h e\nN u N e t\no r g a n i z a t i o n ,\nN u N e t\nP l a t f o r m\nm a y\nm a t e r i a l l y\nd i f f e r\nf r o m\na n y\nf u t u r e"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:5

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:5", "chroma:document": "P l a t f o r m\nm a y\nm a t e r i a l l y\nd i f f e r\nf r o m\na n y\nf u t u r e\nr e s u l t s ,\np e r f o r m a n c e\no r \na c h i e v e m e n t s\ne x p e c t e d ,\ne x p r e s s e d\no r\ni m p l i e d\nb y\ns u c h\nf o r w a r d - l o o k i n g\ns t a t e m e n t s .\nA l l\nf o r w a r d - l o o k i n g\ns t a t e m e n t s\nm a d e\nb y\no r\na t t r i b u t a b l e\nt o \nN u N e t\no r\np e r s o n s\na c t i n g\no n\nb e h a l f\no f\nN u N e t\na r e\ne x p r e s s l y\nq u a l i \ufb01 e d\ni n\nt h e i r\ne n t i r e t y\nb y\ns u c h\nf a c t o r s .\nG i v e n\nt h a t\nr i s k s\na n d\nu n c e r t a i n t i e s\nt h a t\nm a y \nc a u s e\nt h e\na c t u a l\nf u t u r e\nr e s u l t s ,\np e r f o r m a n c e\no r\na c h i e v e m e n t s\no f\nN u N e t\nt o\nb e\nm a t e r i a l l y\nd i f f e r e n t\nf r o m\nt h a t"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\NuNet_Whitepaper_2.0.pdf:42:6

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\NuNet_Whitepaper_2.0.pdf:42:6", "chroma:document": "o f\nN u N e t\nt o\nb e\nm a t e r i a l l y\nd i f f e r e n t\nf r o m\nt h a t\ne x p e c t e d ,\ne x p r e s s e d\no r\ni m p l i e d\nb y \nt h e\nf o r w a r d - l o o k i n g\ns t a t e m e n t s\ni n\nt h i s\nW h i t e p a p e r ,\nu n d u e\nr e l i a n c e\nm u s t\nn o t\nb e\np l a c e d\no n\nt h e s e\ns t a t e m e n t s .\nT h e s e\nf o r w a r d - l o o k i n g\ns t a t e m e n t s \na r e  a p p l i c a b l e  o n l y  a s  o f  t h e  d a t e  o f  t h i s  W h i t e p a p e r .\nN e i t h e r\nN u N e t\nn o r\na n y\no t h e r\np e r s o n\nr e p r e s e n t s ,\nw a r r a n t s\na n d / o r\nu n d e r t a k e s\nt h a t\nt h e\na c t u a l\nf u t u r e\nr e s u l t s ,\np e r f o r m a n c e\no r\na c h i e v e m e n t s\no f \nN u N e t\nw i l l\nb e\na s\nd i s c u s s e d\ni n\nt h o s e"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:0:0

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created_at: 2024-06-29 05:41:35
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 2, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:2:0", "chroma:document": "I n t r o d u c t i o n\nTheFutureofLongevity-ShakeHandswithTomorrow\nHaven'tweallfantasizedaboutsittingwithourgreat-great-grandkids,stilllivelythoughweathered,\nswappingstoriesovercoffee?Fromancientcamp\ufb01retalestotoday'sscienceseekingeternalyouth,\nhumanityremainsobsessedwithcheatingtimetoelongatelife.\nWelcometoRejuveBiotech\u2026.notjustanybiotechcompany.Harnessingcutting-edgearti\ufb01cial\nintelligence,insightsfromlong-livedanimalmodels,andvastbiologicaldatasets,weaimtodecipher\nandmasterthesilentclockworkofaging.Ouraudaciousgoalistodevelopgroundbreakingtherapies\nthatcouldslow,stop,orevenreverseaging.Imagineaworldwhereagingnolongerde\ufb01nesyour\ntrajectory.Alifespentconstantlygrowing,evolving,andrede\ufb01ningyourself\nasyourinterestsandabilitieschangeovertime.Insteadofeducation,work,"}


created_at: 2024-06-29 05:41:35
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 2, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:2:1", "chroma:document": "asyourinterestsandabilitieschangeovertime.Insteadofeducation,work,\nretirement,ourlifespanscouldbe\ufb02uidcanvaseswherewelearn,create,\nandinnovateacrossacenturyormore.Pictureaworldwhereyoucan\nlearntoplaytheviolinat90orstartanewtechstartupat110.Imaginea\nlifewherewe'reconstantlygrowing,evolving,andrede\ufb01ningourselves.\nWithlongerhealthylifespans,thepossibilitiesareboundless.Careers\nextendingbeyond65couldrebalance\ufb01scalweightsonyounger\ngenerations.Lowerelderlycarecostsfromexpandedhealthspanscould\ndeliverhugesavings.Andpeoplelivingwellpast100maymorereadily\ninvestinlong-termprioritieslikeclimatechangesolutionsthattheywould\npersonallyexperience.Theirelderwisdomcanhelpguidehumanity\nthroughtheturbulentchallengesofthiscenturyandbeyond."}


created_at: 2024-06-29 05:41:35
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created_at: 2024-06-29 05:41:35
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 3, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:3:0", "chroma:document": "ChallengingtheInevitabilityofAging\nAtRejuve.Bio,wechallengetheage-oldnarrativethatagingisinevitable.Ourmissionisclearandurgent\n-wewanttochangethestoryofaging.Whilethereisdebateonwhetheragingitselfisadisease,there\nisnoargumentthatitistheprimaryriskfactorformanyoftoday'smostprevalentconditionsincluding\nheartdisease,cancer,diabetes,anddementia.Traditionally,theseillnesseswereseenastheunavoidable\nconsequenceofgrowingolder.Butwhatiftheydidn'thavetobe?\nWewanttoconfronttheveryessenceofaging,focusingontreatmentsthatcanslow,halt,oreven\nreversethecellularprocessesthatde\ufb01neouradvancingyears.Imagineafuturewhereindividuals\nremainenergeticandproductivewellintotheir90soreven100s.Pictureourcellsasintricategearsina\nwatch,eachpartworkingseamlessly,untilonemisalignsandslowstheentiremechanism.Overtime,"}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:4:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 4, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:4:2", "chroma:document": "metabolismaccordingly.Asweage,nutrient-sensingdeclines,leadingtotheoveractivationofpathwaysthat\npromotecellgrowthandproliferationleadingtoproblemssuchascancer,obesity,andinsulinresistance.\n\u25cfCellularsenescence:Aprocessbywhichcellsstopdividingandenterastateofpermanentgrowtharrest.This\ncanhappeninresponsetoDNAdamage,telomereshortening,andchronicin\ufb02ammation.Senescentcellssecrete\nanumberoffactorsthatcandamagetissuesandpromoteage-relateddiseases.\n\u25cfStemCellExhaustion:Stemcellsarecellsthatcandivideanddifferentiateintospecializedcells.Asweage,the\nnumberofstemcellsinourbodiesdeclines,andthosethatremainbecomelessfunctional.Thiscanleadto\nimpairedtissueregenerationandrepair,whichcancontributetoanumberofage-relateddiseases."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:4:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 4, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:4:3", "chroma:document": "\u25cfAlteredIntercellularCommunication:Aprocessbywhichcellssendandreceivesignalstoeachother.Aswe\nage,thisabilitydeclines,leadingtothedisruptionofsignalsbetweencells.Thiscancontributetoanumberof\nage-relateddiseases,includingcancer,heartdisease,andneurodegenerativediseases.\nThe\u2018new\u2019hallmarksofaging\n\u25cfAutophagy:Aprocessbywhichcellsrecycletheirowncomponentstomaintaintheirhealthandfunction.When\nautophagydeclines,itleadstothedeclineofcellularqualitycontrolandtheaccumulationofdebriswhichcan\ncontributetoanumberofage-relateddiseases,includingAlzheimer's,Parkinson'sdisease,andcancer.\n\u25cfDysbiosis(MicrobiomeDisturbance):Thegutmicrobiota,madeofbacteria,viruses,andothermicroorganisms\nplayanimportantroleindigestion,immunefunction,andmetabolism.Agingcanleadtoanimbalanceinthe"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:4:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 4, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:4:4", "chroma:document": "microbiota,contributingtomanydiseases,includingobesity,type2diabetes,andAlzheimer's.\n\u25cfAlteredMechanicalProperties:Cellsaresurroundedbymatrixofproteinsandothermolecules.Thismatrixgives\ntissuestheirstrengthand\ufb02exibility.Withage,thematrixbecomeslessabletowithstandstressandstrain,e.g.\n\ufb01broblastsenescence,whichleadstoage-relateddiseases(likeosteoarthritis,osteoporosis,andsarcopenia).\n\u25cfSplicingDysregulation:SplicingistheprocessbywhichgenessplicetranscribedRNAtogethertoproduce\nmaturemRNA.Anage-speci\ufb01cdysregulated,leadstoabnormalproteinswithalteredfunctionsthatcontributeto\nanumberofage-relateddiseases,includingAlzheimer'sdisease,Parkinson'sdisease,andcancer.\n\u25cfChronicIn\ufb02ammation:Anaturalprocessthathelpsthebodyto\ufb01ghtinfectionandhealinjuries.Ageingcorrelates"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:4:5

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 4, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:4:5", "chroma:document": "withhigh,levelsofin\ufb02ammatorymediatorsintheblood,suchasIL-1,IL-6,C-reactiveprotein,IFN\u03b1,andseveral\nothers.Itcandamagetissuesandorgansandcontributetoanumberofage-relateddiseases.\n\u25cfCellularEnlargement:Itwasalsoproposedthatthatcellularenlargementiscausallyassociatedwithaging.\nChangesinthecell\u2019svolumeduringvariousprocessesarenecessaryforthecelltofunction,forexampleduring\nthecellcycle,development,anddifferentiation."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:5:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 5, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:5:0", "chroma:document": "It'simportanttorecognizetheHallmarksofAging,thoughgroundbreaking,donotfullyexplainthe\nintricaciesofaging.Theyprovideaframeworktoviewaging'scomplexities.Andthroughthislens,we've\nmadeanexcitingdiscovery-bytargetingthesehallmarksprecisely,wemaynotonlyslowbut\npotentiallyreverseaspectsofaging.\nLookingbeyondwhatmakesusold,wecanalsoexaminewhatkeepsusyoung-the\"Hallmarksof\nHealth.\"Fromanorganizationalperspective,healthisasetofdynamicfeaturesthatmaintainbalanceand\npreventagingacrossmicroscopicandmacroscopiclevels.Speci\ufb01cbiologicalhallmarksshouldcorrelate\nwithahealthystate.Disruptingthesehallmarksmayleadtodisease,whilerestoringthemcould\npromotelongevity.Anotherareaofinterestisthe'antagonisticpleiotropy'theoryofaging.Thisproposes"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:5:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 5, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:5:1", "chroma:document": "genesbene\ufb01cialearlyinlifecanbecomeharmfullater.Forexample,genespromotinggrowthand\ndevelopmentmayincreasecancerriskinoldage.ThegeneIGF-1followsthispattern-itbuildsmuscle\nandbonedensityinyouthbutcanfuelcancersinlaterlife.\nOverall,theseperspectivessuggestafuturewhereage-relateddiseasescouldbepreventedordelayed\nsigni\ufb01cantly.Thoughmanyquestionsremain,thepossibilitiesemergingfromresearchintothebiologyof\nagingaretremendouslyexciting.\nAI:Humanity'sKeytoUnlockingtheSecretsofLongevity\nAtRejuve.Bio,we'renotjusttalkingaboutthepotentialofAI;we'relivingitstransformativepowerevery\nday.We\ufb01rmlybelieveintheunparalleledpotentialofadvancedarti\ufb01cialintelligenceinrede\ufb01ning\nlongevityresearch.AIisn\u2019tjustthelatesttechbuzzword;it\u2019sarealgame-changerintheworldofmedical"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:5:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 5, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:5:2", "chroma:document": "discoveries.Itisusheringinanageofrapiddiscoveriesandunprecedentedinnovations,especiallyin\ndiagnostics,drugdevelopment,andnewtreatments."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:6:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 6, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:6:0", "chroma:document": "Considerthevastcomplexityofthehumangenome,amesmerizingorchestraofover20,000genes.\nTheirinteractionsarenotmerelyintricate;theyweaveadancesocomplex,sovast,thatenvisioning\ntheirinnumerableexchangesbogglesthemind\u2014literallytrillionsupontrillionsofinterplays.Determining\nwhichofthesepathwaysin\ufb02uencetheagingprocessisbeyondhumancomprehension.Yet,AIthrivesin\nsuchenvironments.Ourstate-of-the-artBioAtomspaceAIplatformisdesignedtonavigatethesevast\nmolecularlabyrinths.Itscansenormousgenomicdatabasestounveilpreviouslyundiscoveredgenetic\npathwaystiedtolifespanandhealth.WithAI,whatwasonceamonumentaltaskisnowexpedited,\nallowingustospotlightnewdrugtargetsandswiftlytestthousandsofcompoundsfortheiranti-aging\npotential.\nButourquestdoesn'tstopwithgenes.Webelieveinholisticresearch,meaningwearenot"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:6:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 6, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:6:1", "chroma:document": "Butourquestdoesn'tstopwithgenes.Webelieveinholisticresearch,meaningwearenot\nconcentratingonafewspeci\ufb01cknowngenesorpathways.Thisiswhatkeptlongevityresearchstuckfor\nwaytoolong.Considerscience'shistoricalobsessionwithcholesterol.Foryears,medicalprofessionals\nfocusedalmostexclusivelyonLDL(\"bad\")cholesterollevels,believingitwastheprimaryfactorinheart\ndisease.Yet,wenowknowheartdiseaseisin\ufb02uencedbyaplethoraoffactors:in\ufb02ammation,HDL\ncholesterollevels,triglycerides,andmore.By\ufb01xatingsolelyonLDL,wemissedthelarger,intricate\npicture.Similarly,lookatAlzheimer\u2019sresearchasanexample\u2014ataleoftunnelvision.Fordecades,\nsciencepeeredintentlyatmerelytwofacetsofthedisease,entrancedbythedanceofamyloid-beta\npeptidesandtheerraticstepsoftauproteins.Suchnarrowedgazescanblindustothecomplexitiesof"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:6:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 6, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:6:2", "chroma:document": "agingatlarge.Thismeansweneedtoassimilatedatafrommyriadsources\u2013fromlabtestsand\nwearablehealthmetricstoenvironmentalvariablesanddiseasehistories.Weeventakecuesfrom\nnature.Bystudyinglong-livedspecieslikeourMethuselahFlies,speciallybredforlongevity,wegain\ninsightsintowhatgrantstheseorganismsextendedhealthandlife.Thesecluespotentiallyunlock\nsecretstoenhancinghumanlongevity.\nTheimmensechallengeisdecipheringthetangledwebofinteractionsamongthemyriadfactors\nin\ufb02uencingaging.ThisiswhereouradvancedAItool,theBioAtomspace,comesin.It'sadeptat\nsynthesizingvast,multidimensionaldatasets-likeassemblingajigsawpuzzlewithcountlesspieces,\neachrepresentingpartofourhealthandenvironment.OurAIcanweavetogetherdataongenotype,gut"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:6:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 6, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:6:3", "chroma:document": "microbiome,bloodmarkers,activitypatterns,transcriptome,epigenome,andevenexternalfactorslike\nweather.Theresultisacomprehensiveviewofanindividual'suniqueagingjourney,identifyingkey\nenvironmental,lifestyle,andmoleculartriggers.Thisholisticapproachprovidesgranularunderstanding\nofagingmechanismsatthecellularlevel,pavingthewayforinnovativetreatments.TheBioAtomspace\nhelpsunravelaging'scomplexity,givingusanunprecedentedvantagepointtoadvanceouranti-aging\nmission.\nPrecisionMedicine-TurningBacktheClockonAging\nAtRejuve.Bio,wedon'tviewagingasinevitable,butasatapestryofindividualexperiences.Historically,\nanti-agingtreatmentshavetakenaone-size-\ufb01ts-allapproach.However,weunderstandaging's\nintricaciesareshapedbyapersonalizedblendofgenetics,lifestyle,andenvironment."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:6:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 6, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:6:4", "chroma:document": "intricaciesareshapedbyapersonalizedblendofgenetics,lifestyle,andenvironment.\nWithprecisionmedicine,we'rerevolutionizinganti-aging.Insteadofgenerictreatments,ourmissionis\ntodesigntherapiestailoredtopeople'suniquebiology.How?ByharnessingAItointegrategenetic,\nmicrobiome,biomarker,andclinicaldata.Thisallowsustodevisecustomregimensofdrugs,diet,and\nlifestylechangesaimednotjustatdelayingaging,butpreventingdisease.We'removingbeyond\none-size-\ufb01ts-alltotransformthefutureofpersonalizedanti-agingcare."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:7:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 7, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:7:0", "chroma:document": "ThiscommitmenttopersonalizedcareunderlinesRejuve'sdedicationtomakinglongevityresearch\nactionable.We'renotjuststudyingaging;we'reactivelytranslatingour\ufb01ndingsintoreal-worldsolutions\nthatamplifybothhealthspanandlifespan.Aswestrideintothefuture,ourmultifacetedapproach\npromisestocombattheailmentsofoldagewithmorevigorthaneverbefore.ByintertwiningAI,\ngenomics,andpersonalizedmedicine,we'recraftinggroundbreakingtherapieswithavisiontorede\ufb01ne\nagingitself.Therippleeffectofsuchasuccesswouldbemonumental,transformingsocietiesata\nmagnitudereminiscentoftheantibioticrevolution.\nT h e P r o b l e m\nWhyaren\u2019twecuringagingfaster?\nAgingresearch,forthelongesttime,wasliketryingtoreadanovelindimcandlelight:challenging,often\nmystifying,withmanypagesstucktogether.Butastheworldevolved,sodidthecuriositytounderstand"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:7:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 7, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:7:1", "chroma:document": "thisinevitablejourney,pavingthewayforamultitudeofquestionsandchallenges.Overall,thereare\nmanyreasonswhyresearchonlongevity&agingwascomparablyslowinpastdecades:"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:8:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 8, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:8:0", "chroma:document": "1.ThePitfallofAfter-the-factSolutions\nPicturethis:you'reatthebeach,buildingasandcastle.Butinsteadofconstructingastrongfoundation,\nyou'remorefocusedonpatchingupthelittleholesthatkeeppoppingupaswavesrollin.It'san\nexhausting,never-endingcycle.Similarly,medicinehasreactedtoaginginsteadofpreventingit.\nResourcesgotowardtreatingdiseasesaftertheyariseratherthanresearchingprevention.It'slike\ufb01xing\ncracksinadaminsteadofengineeringarobustonefromthestart.\nAlzheimer'sisaprimeexample.Effortscenteronmanaginglate-stagesymptomsratherthan\nunderstandingearlyprecursors.Thechallengeliesinshiftingfromlateinterventiontoearlyprevention.\nWeneedtomoveupstreamandaddresstheoriginsofagingitself.Thatistheonlywaytobuilda\nformidabledamagainstthedownstreamtorrentofage-relateddiseases.Prevention\ufb01rst,reactionlater."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:8:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 8, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:8:1", "chroma:document": "2.TheChronologicalChallengeofLongevityResearch\nHumansinherentlylivefordecades,whichmakesobservingthelong-termimpactsofinterventionsa\nslowandchallengingprocess.Whenweturntoanimalstudies,hopingforaquickerresolution,we\ufb01nd\nourselvesstillboundbytime.Amousemightlivefortwoyears,butitslifespanisstillalengthychapter\ninthestoryofanti-agingresearch.Understandingtheintricaciesoflongevityinsuchatime-limited\nframeposesitsownsetofchallenges.Inaddition,thetraditional\u201cold\u201dpharmaceuticalresearchand\ndevelopment(R&D)processislongandarduous,involvingnumerousstepsfromthediscoveryofa\npotentialdrugtargettotheapprovalofanewdrugbyregulatorybodies.Takentogether,anti-aging\nresearchwasdoomedforalongtime.\nFig.1:ClassicalDrugdevelopmenttakestime.Identifyingpotentialdrugmoleculesor\"leads\"involvesexhaustivelabwork"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:8:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 8, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:8:2", "chroma:document": "andthenscreeningofthousands,sometimesmillions,ofcompounds.Scientistsmustthenre\ufb01netheseleadstohavethe\ndesiredeffectonthetargetwithoutbeingtoxic.Beforetestinginhumans,potentialdrugsundergorigorouslaboratoryand\nanimaltesting.Thesetestsassessthedrug'ssafetypro\ufb01le,pharmacodynamics(whatthedrugdoestothebody),and\npharmacokinetics(howthebodyprocessesthedrug).Phase1ClinicalTrials:Typicallyinvolvingasmallnumberofhealthy\nvolunteers,thisphaseassessesthedrug'ssafety,dosageranges,sideeffects,andhowit'smetabolizedandexcreted.Phase2\nClinicalTrials:Here,thedrug'seffectivenessistestedonalargergroupofpatients,oftenafewhundred,whohavethe\nconditionthedrugaimstotreat.Researchersalsomonitorsideeffectsanddetermineoptimaldosing.Phase3ClinicalTrials:"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:8:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 8, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:8:3", "chroma:document": "Thisphaseinvolveslarge-scaletestingonhundredstothousandsofpatients,furtherevaluatingthedrug'seffectivenessand\nmonitoringadversereactionsinadiversepopulation.Oncetheclinicaltrialsdemonstratethatthedrugisbothsafeand\neffective,thedataissubmittedtoregulatoryagencies(liketheFDAintheU.S.).Evenafteradrugisapproved,it'smonitored\ninthegeneralpopulationtodetectraresideeffectsorlong-termrisksthatmightnothavebeenapparentinclinicaltrials.\n3.TheUntappedPotentialofCross-datasetAnalysis\nWiththeavailabilityofvastamountsofdatafrombothhumanandanimalstudies,onewouldassume\nresearcherswouldeagerlydelveintocross-datasetanalysis.Unfortunately,thisremainsaneglected\narea.Integrating\ufb01ndingsfrom,say,fruit\ufb02ylongevitystudieswiththoseofhumancellularagingcould"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:8:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 8, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:8:4", "chroma:document": "potentiallyprovidericherinsights.Thereluctancetotapintothis'treasuretrove'couldbeattributedto\nfactorslikedatainconsistencyorthesheermagnitudeofinformation.Yet,bynotdivingintothis\ntreasure,we\u2019releavingsomeofthemostthrillingchaptersofourlongevitysagaunread."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:9:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 9, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:9:0", "chroma:document": "4.TheunderutilizedGiant:PersonalizedMedicine\nWhilesomepeoplemightgrapplewithosteoporosisintheirgoldenyears,othersmightface\ncardiovascularchallenges.Thiscallsforpersonalizedmedicine\u2014anapproachtailoredtoindividual\ngenetic,environmental,andlifestylefactors.Sadly,thisgiantremainslargelydormant.Viewingagingas\najigsawpuzzle,it'sclearthataone-size-\ufb01ts-allapproachwillnotsuf\ufb01ce.Withbillionsofpieces\nrepresentingdiverseagingpaths,weneedacomprehensiveviewtotrulyaddressthechallengesof\naging.\n5.TheComplexWebofAging\nAgingiscomplex.Theinterplaybetweengenetics,environment,metabolism,andmore,paintsa\nmulti-dimensionalpicture.Addressingaging,therefore,isn'tjustabouttacklingindividualthreadsbut\nunderstandingandmanagingtheintricatenetwork.Thedawnofarti\ufb01cialgeneralintelligenceoffersa"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:9:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 9, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:9:1", "chroma:document": "solution.Thisnextgenerationofcomputationalpowermightholdthekeytomappingandnavigatingthe\nvastandcomplexterrainofhumanaging.\nThelongevityindustryhasaseasonedroadmap,thoughmanyoverlookitshistory.Mostcompanies\ntargetspeci\ufb01cdiseases,in\ufb02uencedbyregulatorychallengesinanti-agingtreatments.Suchstrategies\nsawvaryingsuccess-fundingwins,innovativelaunches,acquisitions,andwindingdown.Evenhighly\npraisedpharmacompanies,afteracquisition,couldn'tsurmountallchallenges.\nFromaninvestmentandcommercialperspective,it'stimeforashift.Ratherthandancingaroundit,why\nnotconfrontaginghead-on?Whynotbraveregulations,targetagingatitscore,andchampion\npreventionovercure?Afterall,preventivemedicationsalreadyexistformanyconditions.Introducing"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:9:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 9, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:9:2", "chroma:document": "drugsthatslowaging,avertingage-linkeddiseases,seemsnotjustlogicalbutimminent.Thelongevity\nindustryispoisedtolearnfromthepastwhileboldlyreshapingthefuture.\nInconclusion,thoughcombatingagingmayseemdaunting,thejourneybrimswithpotential.By\nconfrontingchallengesdirectlyandharnessingexponentialtechnologies,westandatthethresholdof\nrewritingtheepichumanstoryoflongevity.Theroadaheadremainslong,butforthe\ufb01rsttimewehave\nsightofthedestination.Thefutureofagingisnowinourhandstoshape.\nT h e S o l u t i o n\nAttheforefrontofbiotechnologicaladvances,Rejuve.Bioispioneeringanewerainhealthenhancement.\nHow?Byfusingthreegroundbreakingapproaches:\n\u25cfWeusenext-generationAIthatseamlesslyblendsneuralnetworkswith\nsymbolicreasoning.\n\u25cfWediveintothelongevitysecretsofanimalsknownfortheirimpressive\nlifespans."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:9:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 9, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:9:3", "chroma:document": "\u25cfWediveintothelongevitysecretsofanimalsknownfortheirimpressive\nlifespans.\n\u25cfWeharnessthecollectiveinsightsfromvasthumandatasets,embracing\nthecollectivewisdomofmany."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:10:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 10, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:10:0", "chroma:document": "Ourgoalisn'tjustextendinglifebut\ufb01llingextrayearswithhealthandvibrance.We'recommittedto\ndevelopingtherapies,drugs,supplementsandinterventionsthatdon'tjustdelayaging,butcombatits\nassociatedailments.Imagineagingwithoutslowingdown,wherewisdomaccrueswithoutweariness.\nThisisourvisionforthefutureofhumanhealthandlongevity.Wewanttohelpyoulivelongandwell.\nSo,let\u2019sdiveintothethreedifferentareasofoursolution.\nRejuve.Bio\u2019sAIRevolution\nEveryone'schattingaboutAI.Andnotjustinthecorridorsofbiomedicallabs.It'sbignewseverywhere.\nIt'snotjustbecauseofwonderslikeChatGPT;realgame-changersarecomingtolife.ImagineAIasa\nvisionaryguide,unlockingrealmsofthebiomedicaluniversethatweoncedeemedunreachable,kindling\naspirationsweneverknewweharbored.Here'swhatwe'reseeing:"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:10:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 10, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:10:1", "chroma:document": "aspirationsweneverknewweharbored.Here'swhatwe'reseeing:\n\u2022NewBiomarkersDiscovery:WithAI'sabilitytoidentifyintricatepatternsinmedicaldata\u2014patterns\nbeyondhumanperception\u2014we'veunveilednewbiomarkersfordiseases.Thesemarkersallowfor\nearlierdiagnosisandmoretimelyinterventions.\n\u2022InnovativeDrugDesign:AIisshapingthepharmaceuticalindustrybydesigningdrugsthatoutperform\ntheirtraditionalcounterparts.Thesenoveldrugsofferheightenedeffectivenesswhileminimizingtoxic\nsideeffects.\n\u2022VirtualSimulations:ThepowerofAIextendstothecreationofvirtualreplicasofthehumanbody.Such\nsimulationsempowerresearcherstotestpioneeringtreatmentsandprocedureswithoutanydirect\nimplicationsonrealpatients.\n\u2022EnhancedResearchProductivity:TheautomationcapabilitiesofAIstreamlinetasksinbiomedical"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:10:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 10, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:10:2", "chroma:document": "research,suchasintricatedataanalysisanddrugdiscoveryprocesses.Thisnotonlyampli\ufb01esef\ufb01ciency\nbutalsoliberatesresearcherstoengageinmoreinnovativepursuits.\nInessence,AIisnotafutureconceptinbiomedicalresearch\u2014it'sthepresent.Thosewhoarenotusing\nthelatestAItoolsaresimplymissingthetrain.It'srejuvenatingmethods,re\ufb01ningdiagnostics,expediting\ndrugdiscoveries,andchartingnoveltreatmentpathways.LeadingthischargeisRejuve.Bio.WithanAI\narsenalamongthemostadvancedonEarth,wearethetorchbearersintheaudaciousexpeditioninto\ntheenigmaofaging.Let\u2019sdiveintoit!\nUnderstandingOpenCogHyperon,theBioAtomspace,andMeTTa\nRejuve.Bio\u2019sAIplatformevolvedfromtheOpenCogAIecosystem.OpenCogHyperonisanadvanced\nsoftwaredevelopmentframeworkthataimstosupportthecreationofsystemswitharti\ufb01cialgeneral"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:10:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 10, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:10:3", "chroma:document": "intelligence(AGI)atorbeyondhuman-levelcapabilities.OpenCog\u2019scoredesignfeatureisthe\n\u2018Atomspace\u2019,adistributedmetagraphconsistingofnodesandlinkslabeledwithvarioustypesof\ninformation.Whatmakesitspecial?ItorganizesdatainauniquewaythatallowsAItocompletevital\noperationsmoreef\ufb01ciently,boostingperformancespeedsandconservingmemory.\nButtheAtomspaceisn'tapassivedatawarehouse.ItservesasadynamicplaygroundforamedleyofAI\nalgorithms,eachspringingfromdifferentfoundationalconcepts\u2014beitlogicalreasoning,probabilistic\nprogramming,themysteriousworkingsofattractorneuralnetworks,ortheprinciplesofevolutionary\nlearning.Thesealgorithmsdon'tjustcoexist;theyinteract,usingtheAtomspaceastheircommon\nlanguageandchannelofcommunication.\nInessence,OpenCogHyperonisn'tjustaboutcreatingasmarterAI\u2014it'saboutweavingtogetherdiverse"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:10:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 10, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:10:4", "chroma:document": "mathematicaltoolsandtechniquestocraftamorescalableanduser-friendlyplatformforAGI"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:11:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 11, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:11:0", "chroma:document": "development.It'saboutembracingthevastnessofhumancognitionanddistillingitintoanAIsystem,\nbridgingdifferentbranchesofmathinthearchitecturalblueprint.\nTheBioAtomspace-ThePinnacleofKnowledgeGraphTechnology\nThedigitalrevolution,ledbytheriseofArti\ufb01cialIntelligenceandMachineLearning,hastransformedour\nunderstandingandengagementwithinformation.Amidstthistransformation,representingintricate\nbiologicalknowledgebothaccuratelyandef\ufb01cientlyispivotal.Here'swhereRejuve.Bio'sBioAtomspace\nKnowledgeGraphstepsin,challengingandexpandingthehorizonsofbiologicalknowledge\nrepresentationandprocessing.\nSo,whatexactlymakesourBioAtomspacestandoutinaworldalreadybuzzingwithAIinnovations?\nLet\u2019sstepbackalittleandletustrytoexplainitfromthestart.AttheheartofBioAtomspaceiswhatis"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:11:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 11, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:11:1", "chroma:document": "calledthe\u2018Atomspace\u2019\u2014adistributedmetagraphmadeupofnodesand(hyper)linksthataretaggedwith\nadiverserangeoftypesandsupplementaryinformation.Thinkofthisasthebedrock:acoredesign\nfeaturethatunderpinstheentiresystem.Butit'snotjustaboutthearchitecture.Thetruemagicliesinthe\nmyriadofAIalgorithmsitemploys.OriginatingfromanarrayofAIparadigms\u2014fromlogicalreasoning\nandprobabilisticprogrammingtoattractorneuralnetworksandevolutionarylearning\u2014thesealgorithms\nharnessthepowerofAtomspace.Notjustfortheirowninternalrepresentation,butalsoto\ncommunicateacrossdifferentalgorithms.\nOurBioAtomspacedoesn'tjustactasatool.Anassociatedcognitivesystemstheorysuggeststhatitcan\npotentiallyencapsulateallkeyfacetsofhumanintelligence.Atitscoreistheideaof\"cognitive"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:11:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 11, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:11:2", "chroma:document": "synergy\"\u2014aharmoniousinterplaybetweenvariousalgorithmsandmemoryorganizationmodes.Andthe\ndrivingforcebehindthisstate-of-the-artAIplatform?Aferventdesireforenhancedscalabilityand\nusability.Moreover,itintegratesprofoundmathematicaltoolsandmethods,delvingdeepinto\ndependenttypetheory,intuitionistic,andparaconsistentlogic,embeddingthemintotheveryfabricof\nthesystemdesign.\nToputitsimply,BioAtomspaceisthebrainbehindourAIframework.It'sanavant-gardesystemrooted\ninthenotionofhypergraphs,reshapingthewaywestoreandretrieveinformationintheAIrealm."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:12:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 12, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:12:0", "chroma:document": "Fig.3:TheBioatomspaceisametagraph(graphofgraphs)knowledgebasethatcombinesexistingpubliclyavailable\nbiologicalreferencedata,proprietaryexperimentaldata,andsemanticrepresentationsofscienti\ufb01cpublicationsinaformat\ndirectlyinterpretablebysymbolicinferenceengines(liketheOpencogPLNsystem)andbystateoftheartfoundational\ntransformermodels(chatGPTetal)viagraphembeddings.Thismultiplicityofalgorithmscanjoinforcesinacognitivesynergy\ntotackleproblemsbeyondthereachofanyoneAIormachinelearningtechnique.\nTheuniquenessoftheBioAtomspaceasexplainedbyourAIGuru,Dr.BenGoertzel,fordecadesoneof\ntheleadingmindsinAIresearch:\u201dTheAtomspacerepresentationalframeworkprovidesalevelof\nabstractionthatallowsmultipletypesofbiologicalknowledgetobeexpressedinwaysthatarenatural"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:12:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 12, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:12:1", "chroma:document": "intermsoftheirownintrinsicproperties,butalsoconnectcleanlyandinaneasilymanipulablewaywith\nothertypesofknowledge.Relationshipsfromresearchpapers,discretedatalikegenesequences,\ncontinuousdatalikegeneexpressionvectorsorclinicallabtestvalues,dynamicaldataregardingthe\ntime-courseofvariousparameterswithinanorganororganism,canallberepresentedinclearand\ninterdependentways.\u201dButthisisnotwhereitends.\u201cAvarietyofreasoning,learning,patternmining,and\nconcept/hypothesisformationmethodsarethenimplementedontopofthisrepresentationalfabric,\nleveragingitsgeneralitytomakediscoveriesandconjecturesthatspandatasets,levelsoforganization,\norganismsandspecies.\u201d\nHigh-LevelRepresentationandProcessing\nLet\u2019sstepbackanothersteptoillustratewhatwebuild,startingfromGraphTheory.Graphtheoryisa"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:12:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 12, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:12:2", "chroma:document": "signi\ufb01cantcomponentofmanyAI-relateddisciplines,includingneuralnetworks,path\ufb01ndingalgorithms,\nandmore.Graphsprovidea\ufb02exibleandrobustframeworkformodelingandanalyzingvariouskindsof\ncomplexstructures,fromsocialnetworkstothestructureofthewebtovariouskindsofbiologicaldata.\nForsimplequeriesandbasicpredicate-argumentrelationships,varioussimplegraphscouldsuf\ufb01ce.\nTheyareeffectiveinfrastructuresfortriplestores,basicdatabasesthatstoreinformationasatrioof"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:13:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 13, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:13:0", "chroma:document": "entities.However,thepoweroftheBioAtomspaceisunveiledwhenoneseeksamoreabstract\nrepresentationofknowledge.\nTheBioAtomspaceexcelsinrepresentingknowledgein\ufb01rstorhigher-orderpredicatelogic;that\u2019satype\noflogicthatisusedtorepresentknowledgeaboutrelationshipsbetweenconcepts.Itcanhandle\ncomplexrelationshipsinvolvinghigher-orderfunctions(functionsthatcantakefunctionsasinputsor\noutputs),nesteduniversallyandexistentiallyquanti\ufb01edvariables,anduncertainty-allcrucialfor\nreal-worldapplications.Insimplerlanguage:TheBioAtomspacesystemisdifferentbecauseitcan\nrepresentknowledgeinamoreabstractway.Thismeansthatitcanrepresentknowledgeabout\nrelationshipsbetweenconcepts,aswellasknowledgeaboutthepropertiesofconcepts.Forexample,\ntheBioAtomspacesystemcanrepresentknowledgeabouttherelationshipbetweengenes,longevity,"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:13:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 13, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:13:1", "chroma:document": "anddiseases.Thisknowledgecanthenbeusedtodevelopnewdrugsortreatmentsagainstaging.The\nabilitytorepresentknowledgeaboutthepropertiesofconceptsisalsoimportantbecauseitallowsthe\nBioAtomspacesystemtorepresentmorepreciseknowledge.Forexample,thesystemcanrepresent\nknowledgeaboutthepropertiesofagene,suchasitslocationonachromosomeoritsfunction.This\nknowledgecanthenbeusedtounderstandhowgenesworkandhowtheyinteractwitheachother.A\nhypergraphisamathematicalandcomputerscienceconceptthatextendstheideaofatraditionalgraph,\nallowinganedgetoconnectanynumberofvertices,insteadofjusttwo.Intherealmofarti\ufb01cial\nintelligenceandgraphtechnology,hypergraphscanserveasamoreaccurateandversatile\nrepresentationofcomplexrelationships,particularlywhenmodelingrelationaldataorintricate,\nhigher-dimensionalrelationships.\nVertices"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:13:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 13, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:13:2", "chroma:document": "higher-dimensionalrelationships.\nVertices\nVerticesareessentiallytheindividualpointsor'dots'inagraphoranetwork.Forexample,imagine\nyou'redrawingaconnect-the-dotspicture.Eachofthosedotsyou'reconnectingisavertex.And\nwhenyoudrawalinebetweentwodots,thatlineissimilartowhatwecallan'edge'ingraphtheory.If\nyou'rethinkingaboutsocialnetworks,avertexcouldrepresentaperson.Ifit'satransportation\nnetwork,avertexcouldrepresentacityorabusstop.Ifit'samolecularnetworkinbiology,avertex\ncouldrepresentamolecule.So,inessence,verticesarethefundamentalunitsor'buildingblocks'that\nweusetocreateanddescribenetworksorgraphsinourresearch.Theyrepresenttheentitiesof\ninterest,andtherelationshipsbetweenthemarerepresentedbylinesoredges.\nLet'sexplainthisconceptusingabiologicalexample,suchasmolecularnetworks.Forinstance,consider"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:13:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 13, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:13:3", "chroma:document": "therepresentationofcomplexbiologicalinteractionslikemetabolicpathways.Atraditionalgraphmight\nuseverticestorepresentdifferentmolecules(likeenzymesandmetabolites),andedgestorepresent\nbinaryreactionsbetweenthem.However,thisbinarymodelcanfallshortofaccuratelyrepresenting\nmulti-componentreactionsorsystemswheremultiplemoleculesinteractsimultaneously.\nHereiswherehypergraphsshine.Inahypergraph,asingleedge-oftenreferredtoasa\"hyperedge\"-\ncanlinkanynumberofvertices,enablingtherepresentationofmorecomplexrelationships.Inour\nexample,thisallowsforaccuratemodelingofreactionsinvolvingmorethantwomolecularentitiesor\nintricatepathwayswithconcurrentreactions.ThispowerfulrepresentationisofgreatvalueinAI.For\ninstance,hypergraphscouldbeusedtobetterunderstandthecomplexbiochemicalinteractionsina"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:13:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 13, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:13:4", "chroma:document": "cell,toidentifypotentialdrugtargetsinagingmedicine,ortopredicttheeffectsofvariouscompoundsin\nbioinformatics.\nMeta-RepresentationalKnowledgeGraph\nAnotherkeydifferentiatorisBioAtomspace\u2019sabilitytoactasameta-representationalknowledgegraph.\nItallowstheintegrationofvarioussubgraphseachwithdifferentknowledgerepresentationschemes\nunderasingleuni\ufb01edarchitecture.Forinstance,onesubgraphcouldbeorientedtowardsnatural\nlanguage,anotherdealingwithformalmathematics,andyetanotherforfunctionalorimperative"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:14:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 14, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:14:0", "chroma:document": "programminglanguages.Insteadofmaintainingseparateknowledgegraphsforeachtype,the\nBioAtomspaceprovidesauni\ufb01edgraphforall,enablingsharedknowledgeandinterlinkingbetweenthe\ndifferenttypesofknowledge.\nNeural-SymbolicAIIntegration\nArevolutionaryaspectoftheBioAtomspaceisitscapabilitytofacilitatetwo-wayinteractionbetween\nneuralnetsandsymbolicAI.Whileotherframeworkspermitconsultationbylargelanguagemodels,the\nBioAtomspaceisdesignedtoencourageasymbioticrelationshipbetweenneuralandsymbolicAI,\nfacilitatingaco-learningenvironment.\nNeural-andsymbolicarti\ufb01cialintelligencearetwodifferentapproachestoAIthathavedifferent\nstrengthsandweaknesses.\n\u25cfNeuralAIisinspiredbythehumanbrainandusesarti\ufb01cialneuralnetworkstolearnfromdata.\nNeuralnetworksaremadeupofinterconnectednodesthatcanlearntorecognizepatternsindata."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:14:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 14, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:14:1", "chroma:document": "ThismakesneuralAIwell-suitedfortaskssuchasimagerecognitionandnaturallanguage\nprocessing.\n\u25cfSymbolicAIisbasedonknowledgerepresentationandreasoning.SymbolicAIsystemsrepresent\nknowledgeinaformallanguageanduserulestoreasonaboutthatknowledge.Thismakes\nsymbolicAIwell-suitedfortaskssuchasplanninganddecision-making.\nInotherwords,itdoesn\u2019tsimplyrelegatesymbolicorneuralfunctionstoberesourcesfortheother.\nRather,itallowsintertwinedlearninganddevelopmentbetweenthetwo,afeatureunparalleledinthe\ncurrentAIlandscape.\nAssuch,Rejuve.Bio\u2019sBioAtomspaceKnowledgeGraphisnotmerelyatool;it'sanadvanced\ninfrastructureforneural-symbolicAI.Itscapacityforhigh-levelrepresentationandprocessing,its\nmeta-representationalcapability,anditsuniqueneural-symbolicintegrationmakeitstandheadand"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:14:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 14, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:14:2", "chroma:document": "shouldersabovethecompetition.Thisiswhymanyconsiderittheworld'sbestknowledgegraph.There\nareonlyafewother,subject-speci\ufb01cneural-symbolicsystemsintheworld,amongthemDeepMind's\nAlphaFold\u00a0isaneuro-symbolicAIsystemthatcanpredictthestructureofproteins,andGoogle's\nPathways\u00a0isan-in-development-AIsystemthatcanplanandexecutecomplextaskssuchasdriving\ncars.\nInvestingintheBioAtomspacemeansinvestinginthefutureofAI,wheretheseamless\nintegrationofvariedtypesofknowledgeleadstoaneraofsmarter,moreef\ufb01cient,andmore\nversatileapplicationstoimprovehumanhealthandlongevity.\nMeTTa-the\u201dlanguageofthought\u201d\nRejuve.Bio,aspartofthewiderOpenCogHyperonAGIecosystem,isalsoapplyingthenewestAI\nlanguage\u201cMeTTa\u201dtoitsecosystem.MeTTa\u2019ssyntaxisdifferentfromotherprogramminglanguagesto"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:14:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 14, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:14:3", "chroma:document": "allowcomputerstonavigatethroughknowledgegraphsasahumanmindwould.Thedesignofthe\nMeTTalanguagerepresentsasynthesisofideasfromtypetheory,intuitionisticlogicandothertheoretical\ndomainswithpracticalexperiencegainedviadecadesofexperimentationwithearliersoftwaresystems.\nAsakeyingredientoftheHyperondesign,MeTTa(MetaTypeTalk)servesalanguageforinternaluseby\nHyperonalgorithms,andanend-userlanguagefordeveloperstouseincodingalgorithmsand\napplicationsforHyperon.ThegoalforMeTTaisnottomanipulateknowledgemetagraphs,butratherto\nrepresentitinthemetagraphknowledgemetagraphs,enablingknowledgemetagraphsto\ufb02exibly"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:15:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 15, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:15:0", "chroma:document": "self-transforminacognitivelyusefulandmeaningfulway.Indeed,MeTTaisconsideredaviable\n\u201clanguageofthought\u201dforAGIbecauseitallowsforrepresentationofvarioustypesofknowledgeand\ncognitiveprocesses.WithMeTTa,knowledgecanbetransformedinameaningfulwaywithinknowledge\nmetagraphs,whichisanimportantaspectoftheoverallOpenCogandHyperonprograms.\nInotherwords,thisprogramminglanguageisspeci\ufb01callydesignedtoenablecomputerstoreasonand\ninferknowledgelikethehumanbrain.WhereregularLLMslikeChatGPTproduceresponsesbasedon\nmereprobabilityandpattern\ufb01nding,MeTTa-poweredmodelscansimulate\u201cthinking\u201dprocesses,learn\nfromexperienceandapplylogicandreasoninglikeahumanwoulddotoproducequality\nrepresentationsofknowledgeandaccurateresponsestotheusers\u2019queries."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:15:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 15, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:15:1", "chroma:document": "representationsofknowledgeandaccurateresponsestotheusers\u2019queries.\nInessence,MeTTawillbecapabletoserveasa\u201dlanguageofthought\u201dspanningthemultipleknowledge\nanddynamictypescharacterizinghuman-levelintelligenceaswellastheleadingparadigmsintheAI\n\ufb01eld.\nOverall,BioAtomspace\u2019scapabilitytohandleabstractknowledgerepresentationisunrivaled,\nparticularlyusefulwhencomplexknowledgegraphsareneededtoenhanceMachineLearning\nModels.TheBioAtomspacesystemisunderdevelopment,butitisalreadyworkingbeyond\nexpectations,andwillrevolutionizethewaythatbiologicalknowledgeisrepresentedandused\nincomputers.Theabilitytorepresentknowledgeinamoreabstractwaywillallowcomputers\ntounderstandandprocessmorecomplexknowledge.Thiswillleadtonewadvancesin\ufb01elds\nsuchaslongevity,medicine,biology,andarti\ufb01cialintelligence."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:15:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 15, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:15:2", "chroma:document": "suchaslongevity,medicine,biology,andarti\ufb01cialintelligence.\nRejuvenatingGenetics:TheTaleoftheMethuselahFlies\nImagineblowingoutanother5timesthecandlesonyourbirthdaycakewhilefeelingasyoungand\nvibrantasyoudidinyourprime.Soundsimpossible,doesn'tit?Butholdontightbecausethisisn't\nmagic\u2014it'sscience.Rejuve.Biohasunlockedagroundbreakingdiscovery:theMethuselah\ufb02y.Thisisno\nordinaryinsect;thisuniquestrainofDrosophilafruit\ufb02ies,the\u201cSuperO\u2019s\u201d,thatcancelebratenearly\ufb01ve\nbirthdaysforeveryoneoftheirwildcounterparts.\nButhowdidweachievethisfeat?Throughpainstakingdecadesofbreeding,laser-focusedonlongevity\nandthrivinghealth,we'vebirthedtheseastonishinganimals.Thesearen'tjustyouraveragelong-lived\n\ufb02ies.Theyremainlivelyandhealthyevenintheirolderage.Intriguingly,manyofthegenesthatgrant"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:15:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 15, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:15:3", "chroma:document": "these\ufb02iestheirenhancedlifespanandhealthalsoexistinhumans.Afterall,whosaidonly\ufb02iesshould\nhaveallthefun?\nHowItAllBegan-TheBirthoftheMethuselahFlies\nRewindtothe1980s.Dr.MichaelRose,apioneeringbiologist,initiatedanexperiment,selectively\nbreedingDrosophilafruit\ufb02iestoenhancetheirlifespan.TheoffspringoftheseoriginalMethuselah\ufb02ies\nfoundahomeatGenescientCorporationandwerefurtherbredanddevelopedbyourCEO,Kennedy\nSchaal.Theanimalslivinganimpressive4.5timeslongerthantheirconventionalpeers.Withinthis\nextendedlifespanpopulation,distinctsubgroupsemerged,aptlynamedB,O,andSuper-O,eachwithits\nuniquelongevitytraits-somearelivingevenlonger.\nWhat'sevenmorefascinatingisthegeneticsimilaritybetweenthese\ufb02iesandus.Manygenesgranting\ntheMethuselah\ufb02iestheirprolongedvitalityandrobusthealtharemirroredinthehumangenome."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:15:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 15, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:15:4", "chroma:document": "Unravelingthepotentialofthesesharedgenescouldrevolutionizeourunderstandingofagingand\nlongevity."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:16:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 16, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:16:0", "chroma:document": "CollaborationandInnovation:UnlockingtheSecretsoftheGenome\nRecognizingthispotentialgoldmine,SingularityNET,undertheguidanceofourChiefAIScientist,Dr.Ben\nGoertzel,formedanalliancewithGenescient.Theirsharedquest?Toharnessadvancedmachine\nlearningandreasoningtechniques,drawingparallelsfromtheMethuselah\ufb02ygenometothatofhumans.\nSo,from2006to2010,adedicatedteamofresearchers,spearheadedbytheever-passionateKennedy\nSchaal,whoisnowourCEOatRejuve.Bio,embarkedonadetailedstudy.Theydelvedintothegene\nexpressionoftheseremarkable\ufb02ies,contrastingthemwithregularwild-type\ufb02ies.Thetoolsattheir\ndisposal?Cutting-edgestatisticalmodels,machinelearning,andintricatenetworkanalyses.Theresults\nweregroundbreaking.Wegainedunparalleledinsightsintothegeneticfactorsgoverninglongevity,heart"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:16:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 16, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:16:1", "chroma:document": "andbrainhealth,andotheraging-relatedconditions.Aftermorethanencouragingresults,itwas\ndecidedtoobtainthefruit\ufb02ymodelanduseitforagingresearchwithinRejuve.Biotoacquirenew\ninformationregardinggenetherapies,drugs,ornutraceuticalregimensforprolonginghealthyhumanlife.\nNow,ouranalystscrunchthisdatausingneuralnetsandothermachinelearningtools,alongwith\nsymbolicAImethods.\nFromResearchtoReality:TheFutureofAnti-Aging\nButwedidn\u2019tstopatbasicresearch.Mergingourdiscoverieswithextensivedrugdatabases,we've\nassembledanarsenalofsubstanceswithpotentialtocombataging'simpact,andalreadydevelopedour\n\ufb01rstanti-agingsupplementsuccesses.Unlockinglongevitysecretsinthelabisjustthebeginning.We're\nrapidlytranslatinginsightsintotangibleanti-agingproductsforpeopletobene\ufb01tfromtoday.There's"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:16:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 16, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:16:2", "chroma:document": "moretocomeaswebridgethegapfromresearchtoreal-worldimpact."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:17:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 17, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:17:0", "chroma:document": "WhyFruit\ufb02ies?\nDrosophilamelanogaster,commonlyknownasthefruit\ufb02y,haslongbeenafavoredmodelorganismin\nagingresearch,aswellasinvariousother\ufb01eldsofbiology.Thereareseveralreasonsforthis:\n\u25cfShortLifecycle:Drosophilahaveashortlifespanthatlastsforjustseveralweeks.Thisallowsresearcherstostudy\ntheentirelifespanofanorganisminacondensedperiod,observingchangesfrombirthtodeathinamanageable\ntimeframe.\n\u25cfRapidGenerationTime:Fruit\ufb02iesreachmaturityquicklyandreproduceatafastrate.Withinabout10daysafter\nfertilization,anewgenerationisreadytobeginreproducing.Thisrapidturnoverallowsforquickbreedingand\nstudyingofmultiplegenerations.\n\u25cfCompoundsCanBeTestedQuickly:Duetotheirshortlifespan,anyimpactofacompoundortreatmentonlifespan\norhealthspancanbeobservedquickly.Thisisadvantageouswhentestingpotentialanti-agingtreatmentsor"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:17:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 17, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:17:1", "chroma:document": "interventions.\n\u25cfGeneticTools:ThegeneticmakeupofDrosophilaiswell-understood,andtheypossessmanygenetictools,\nallowingfortheeasymanipulationofgenes.Thismakesitsimplertoinvestigatethefunctionofspeci\ufb01cgenesor\npathwaysinvolvedinaging.\n\u25cfConservationofAgingPathways:ManymolecularpathwaysimplicatedinaginginDrosophilaareconservedin\nhigherorganisms,includinghumans.Thismeansthatinsightsgainedinfruit\ufb02iescanoftenbetranslated,atleast\nconceptually,tomorecomplexorganisms.\n\u25cfEconomical:MaintainingandbreedingDrosophilaiscost-effectivecomparedtomanyothermodelorganisms.This\nallowsforlarge-scaleexperimentsandreplicateswithoutasigni\ufb01canteconomicburden.\n\u25cfEasilyControlledEnvironment:Theconditionsunderwhichfruit\ufb02iesareraised(temperature,food,lightcycle,etc.)"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:17:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 17, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:17:2", "chroma:document": "canbeeasilystandardizedandmanipulated,allowingforcontrolledexperiments.\n\u25cfVisiblePhenotypes:AginginDrosophilacanbeaccompaniedbyeasilyobservablephenotypicchanges,suchas\ndecreasedlocomotoractivityorincreasedsusceptibilitytostress.Thesecanserveasconvenientmarkersforaging\nandhealth.\n\u25cfLargeSampleSizes:Duetotheirsmallsizeandeaseofbreeding,experimentswithDrosophilacanbeconducted\nwithlargesamplesizes,increasingthestatisticalpoweroftheresults.\n\u25cfEthicalConsiderations:WorkingwithinvertebratemodelslikeDrosophilaoftenpresentsfewerethicalconcerns\nthanworkingwithvertebrateanimals,makingtheapprovalprocessforexperimentsmorestraightforward."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:18:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 18, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:18:0", "chroma:document": "Overall,Drosophilaoffersauniquecombinationofconvenience,relevance,andcost-effectivenessthat\nmakesitanattractivemodelorganismforstudyingaging,amongotherbiologicalphenomena.\nDecodingLife'sClock:TheRoadAhead\nNow,guidedbytheexpertiseoflongevitybiologistKennedySchaalandepigeneticspioneerDr.Axel\nSchumacher,ourpassionateteamhasventuredintotheintricategenomeofMethuselah\ufb02ies.These\nunique\ufb02ieshaveprovideduswithablueprintforagroundbreakingtherapeuticplatform,onethat\nharnessestheirincredibleextendedhealthspantotargetnewfacetsofhumanaging.\nYoumightask,\"How?\"Simple.Whatmakesourapproachdistinctisthepotentblendofadvanced\ntechnologyandnature'ssecrets.WeemploydeepneuralnetworksandtheOpenCogprobabilistic\nreasoningplatform,augmentedbyourcuratedBioAtomspaceknowledgegraph.Thisgraphgathers"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:18:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 18, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:18:1", "chroma:document": "insightsfromaplethoraofbiodatabases,labdata,andresearchpapers.Ourmissionisstraightforward:\npinpointthekeybiologicaltraitsthatsetMethuselah\ufb02iesapartfromtheirregularcounterparts.By\nunderstandingthesedifferences,wecanexpeditethetestingofpotentialdrugtargetsandinnovative\ncompounds,allofwhicharethenre-evaluatedusingourBioAtomspaceplatformandour\ufb02ymodels.\nFig.2:Ourmodelorganism:thelong-livingDrosophila\ufb02y\u2013SuperFastR&D.Embryo:Thefertilizedegg\nhatchesafterabout24hoursat25\u00b0C.Theembryoundergoesrapiddevelopment,andtheadultstructuresare\nalreadypresentintheembryo.The\ufb01rstinstarlarvahatchesfromtheeggandisabout1mmlong.Thelarva\nhasachewingmouthpartandfeedsondecayingfruit.Thelarvacontinuestofeedandgrow.Thethirdinstar\nlarvaisabout3mmlong.Thelarvaisfullygrownandpreparestoenterthepupalstage.Pupa:Thepupaisthe"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:18:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 18, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:18:2", "chroma:document": "stageofmetamorphosis.Thelarva'sbodybreaksdownandtheadultstructuresareformed.Adult:Theadult\n\ufb02yemergesfromthepupaafterabout5days.Theadult\ufb02yisabout2mmlongandhaswings.Theadult\ufb02y\ncanmateandlayeggs,startingthecycleagain.FigureafterOnget.Al.,2014."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:19:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 19, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:19:0", "chroma:document": "Inademonstrationofourplatform'spotential,ourpastcollaborativeeffortsshedlightonseveralgenes\nandpathwayslinkedtotheexceptionallongevityofMethuselah\ufb02ies.Thesediscoveriesspannedarange\noffunctions,fromneurologicalandcardiactoimmune,andlaidthegroundworkforinnovativeproducts\nlikeStemCell100,anutraceuticalnowmarketedbyourpartner\ufb01rmsatGenescient.\nNow,in2023,ourMethuselah\ufb02iesarelivingevenlongerandrevealingevenmoreprofoundgenetic\nsecrets.WithbettergenomictoolsandsmarterAI,wecannowseethepatternsoflifewithunparalleled\nclarity.Tofurtherre\ufb01neourunderstanding,ourteamhasexpandedtheBioAtomspace,incorporatinga\nvastfruit\ufb02ydatabasealongsideexistinghumangenomicandclinicaldata.Thiscomprehensivedataset\nencompassesdiverseindividuals,spanningvariousagesandhealthconditions."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:19:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 19, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:19:1", "chroma:document": "encompassesdiverseindividuals,spanningvariousagesandhealthconditions.\nAnin-depthdiveintothetranscriptome-widesequencingdataunveiledapivotalrevelation:distinct\ngeneticpro\ufb01lesdemarcatetheB,O,andsuper-Opopulations.Thesegroupingsofferatreasuretroveof\ninsightsforunravelingthecomplexitiesofaginginmultifacetedorganisms.TheMethuselah\ufb02ies,with\ntheirunparalleleddatareservoir,illuminatetheintricaciesoftheagingprocesslikeneverbefore.A\ntestamenttotheirpotential,ourpriorresearchenabledustodoublethelifespanofmiddle-aged\ufb02ies\nsimplythroughtailoredsupplementcombinations.Today,withcutting-edgeAIatour\ufb01ngertips,we're\ndecipheringwhichage-relatedfactorsin\ufb02iescanbetranslatedtohumanaging.Because,let'sbereal:\nyou'renotjusthereforanotherscienti\ufb01cbreakthroughoracoolstory.You'reherebecauseyouwant"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:19:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 19, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:19:2", "chroma:document": "moreoutoflife.Moremoments,morememories,moretimewithlovedones.Andwe'reheretohand\nyouthekey.\nByharnessingstate-of-the-artresearchmethodologies,rangingfromEpigeneticclockstudiesand\ncompound/environmentstressorteststointricatemappingofpivotalgeneticvariantsandbiochemical\npathways,we'repoisedtorede\ufb01netheveryconceptofaging.What\u2019sgreataboutfruit\ufb02iesistheyshare\nabout60to70%oftheirgenomewithus.Andthemechanismsbywhichtheyageareparticularly\nsimilartoours,sothey\u2019reareallygreatmodelorganism,andthey\u2019realsoveryeconomicaltostudy.\nFurthermore,fromourexperienceswithmanydifferentmodelorganisms,thosebiochemicalpathways\nthataffectorganismalagingareusuallypreservedbetweenspecies.\nJoinusonthisexhilaratingjourneyaswedemystifylongevity,forginganew,healthierworld.\nFindingwhatmakesusage"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:19:3

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 19, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:19:3", "chroma:document": "Findingwhatmakesusage\nCutting-edgeAIhasopenednewpossibilitiesinstudyingaging,aphenomenontouchingalllivingcells.\nUsingdeeplearning,AIcannowforecastbiologicalclocksmoreaccurately,mergingdynamicandstatic\ndata.Thisgivesamorecomplete,360-degreeviewofhowweage,revealingunderlyingcauses.\nTheupshot?Moreeffectiveanti-agingstrategies.AI-generatedbiomarkersarelikeatreasuremap,\nhighlightingkeyareasforresearchandnewdrugtargets.Innovationslikeknowledgegraphsspotnew\nresearchavenuesandevendesignnovelanti-agingmolecules.\nImagineconnectingthesetoolsintoonestreamlinedpipeline,frombiomarkerstodrugtargetsto\nreal-worldmedicines.WithRejuve.Bio,thisisbecomingreality.Oursystemcanrevolutionizedrug\ndevelopment,makingitfasterandmorereliable.AIbringsagingresearchintosharpfocus,lightingthe"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:19:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 19, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:19:4", "chroma:document": "pathtocombatagingmoreeffectively.\nSpeed\u2013Speed-Speed\nRejuve.Biopresentsarevolutionaryapproachtoagingresearchbyamalgamatingarti\ufb01cialintelligence\nmethodologieswiththeestablishedDrosophilamelanogastermodel.Thissynthesisexpeditesdrugand\nnutraceuticaldiscoverytargetedataging,presentingamoreef\ufb01cientpathwaytomarketcomparedto\ntraditionaldrugR&D:"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:20:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 20, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:20:0", "chroma:document": "\u25cfEf\ufb01ciency:Thisintegrationreducesthedurationofresearchphases,enablingfaster\ntransitionfromconceptualizationtotesting.\n\u25cfPrecision:AIcansiftthroughDrosophila-generateddatawithunparalleled\naccuracy,pinpointingpotentialtherapeuticagentswithhigherlikelihoodsof\nsuccessinsubsequenthumantrials.\n\u25cfCost-effectiveness:Thecombinationreducestheneedforrepeated,lengthy,and\noftencostlymammaliantrials,presentingsigni\ufb01cant\ufb01nancialadvantages.\nConventionaldrugresearchanddevelopmentisacostlyandtime-consumingendeavor,oftenspanning\nadecadeormorefrominitialdiscoverytomarketrelease.Suchextendedtimelinesareparticularly\ndetrimentalwhenaddressingaging-aprocessthataffectsglobalpopulationswithincreasingurgency.\nByintegratingAIwiththeDrosophilamodel,Rejuve.Biohasestablishedastreamlinedpipelinefor"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:20:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 20, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:20:1", "chroma:document": "anti-agingdrugandsupplementdiscovery:\nFig.4:Rejuve.BioisdevelopingSupplementsandTherapeuticstotargetthecorereasonsforhumanaging.Withthepowerof\nnext-generationAGI,theprocessoftargetanddrugdiscoverycanbeshortenedbymanyyears,comparedtoclassical\npharmaR&D.\nMarketImpactandtheRoadAhead\nThemarketrepercussionsofRejuve.Bio'shybridapproacharegame-changing:\n\u25cfFasterTime-to-Market:SpeedingupR&Dmeansnewanti-agingproductscouldhitthe\nshelvessoonerthanweeverthoughtpossible,givingRejuve.Bioacompetitiveedge.\n\u25cfExpandedProductRange:ByleveragingAIandDrosophila,Rejuve.Biocansimultaneously\ninvestigatedrugs,supplements,andnutraceuticals.Thisbroadenstheirpotentiallineupandoffers\nconsumersmoreoptions."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:21:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 21, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:21:0", "chroma:document": "\u25cfLeadershipPosition:AsatrailblazerinfusingAIwithbiologicalresearch,Rejuve.Biohasthe\nchancetobecomethego-toauthorityforsolutionsintheagingsector.\nLong-termwearealsolookingintotheoptiontoaddquantumcomputingtoourBioatomspace\nplatform.Wearealreadyworkingonvariousoptionstoenableourresearchersanddeveloperstocreate\nandtestnewquantumalgorithmsandapplications,andtheyhelptoacceleratethedevelopmentofthe\nquantumcomputingecosystem.\nInsummary,Rejuve.Bio'smeldingofAIandtheDrosophilamodelisn'tjustanexcitingscienti\ufb01c\ndevelopment;it'satransformativemomentinhowwecombataging.Withitspromiseof\nquickerdiscoveriesandfasterroutestomarket,Rejuve.Bioisn'tjustboostingitsownprospects.\nIt'sacceleratingprogressina\ufb01eldthatdesperatelyneedsit,positioningitselfasaleaderinan\nindustrypoisedforgrowth."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:21:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 21, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:21:1", "chroma:document": "industrypoisedforgrowth.\nCombiningHumanandAnimalDatatooutpaceAging\nAtRejuve.Bio,we'repassionateaboutharnessingheapsofdata.Infact,Rejuve.Biowasdesignedto\nleveragemassivedata,forexampleanalyzingthecrowd-sourcedhumanlongevitydatageneratedby\nourSingularityNETsistercompanyRejuve.AIanditstokenomics-incentivizedlongevityapp,atreasure\ntroveofcrowd-sourcedhumanlongevitydata.Together,bybuildingalarger,decentralizedhealthdata\neconomy,weputpowerbackintothehandsofthepeople,allowinganyonetomonetizetheirlongevity\ndataandyieldmaximalpersonalbene\ufb01tfromtheircontributions.\nThatdatawilleventuallyincludeeverythingfromheight,weightandsleepdatatogenomicdata,\nmicrobiomedata,EEGdata,environmentalexposure,bloodtests,biomarkers,andsoon.Wewill"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:21:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 21, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:21:2", "chroma:document": "analyzethatdatawithourneural-symbolicAIplatform,crunchitwithmodelorganismdatafromthe\n\ufb02ies,andotherlonglivedanimalmodels,tomakeinferencesandgeneratenewhypothesesaboutnew\ntargetsforagingthathaven'tbeenthoughtofbefore.Intheend,we'reaimingtogathersomuch\ninformationthatwecanofferdeeplypersonalizedinsightsforeachandeveryoneofyou,\ufb01nallyoffering\nallpeoplethepossibilitytoreachLongevityescapevelocity(LEV).\nLEVisahypotheticalsituationinwhichtherateofincreaseinhumanlifespanexceedstherateofaging.\nThismeansthat,foreveryyearthatpasses,people'sremaininglifespansincreasebymorethanoneyear.\nTheterm\"escapevelocity\"isborrowedfromphysics,whereitreferstotheminimumspeedrequiredfor\nanobjecttoescapethegravitationalpullofaplanet.Inthecontextoflongevity,LEVreferstothepointat"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:21:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 21, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:21:3", "chroma:document": "whichtherateofincreaseinhumanlifespanissogreatthatitisnolongerpossibletodieofoldage.LEV\nisacontroversialtopic,withsomepeoplebelievingthatitispossibletoachievewithinthenextfew\ndecades,whileothersbelievethatitisnotpossibleatall.However,thereisagrowingbodyofresearch\nthatsuggeststhatLEVmaybewithinreach.Weknowit'sdoable!WiththehelpofthenewestAItools,\nwecanachieveLEVwithinamuchshortertime.\nBeyondsupplements,therearemanybiotechnologiesthatweconsiderfortheirpotentialtoextend\nlifespan.Someofthemostpromisingapproachesinclude:\n\u25cfSenolytics:Thesearedrugsthattargetandkillsenescentcells,whichareold,damagedcellsthat\naccumulateinthebodyovertimeandcontributetoage-relateddiseases.\n\u25cfGenetherapy:Thisinvolvesusinggeneticengineeringtorepairorreplacegenesthatare"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:21:4

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 21, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:21:4", "chroma:document": "\u25cfGenetherapy:Thisinvolvesusinggeneticengineeringtorepairorreplacegenesthatare\ndefectiveormutated.Genetherapycouldbeusedtotreatorpreventage-relateddiseases,orto\nslowdowntheagingprocessitself.\n\u25cfmRNAvaccinesagainstaging:atypeofvaccinethatusesmessengerRNA(mRNA)totrainthe\nbody'simmunesystemto\ufb01ghtwhatmakesusage."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:22:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 22, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:22:0", "chroma:document": "\u25cfRegenerativemedicine:Thisusescells,tissues,ororganstorepairorreplacedamagedor\ndiseasedtissue.Regenerativemedicinecouldbeusedtorestoreyouthfulfunctiontoorgansand\ntissuesthatdeclinewithage.\n\u25cfSmallmolecules:Aformofdrugs,organiccompoundswithlowmolecularweightthatcan\ninteractwithbiologicaltargetstoproducealongevityeffect.\n\u25cfMetabolicengineering:Thisinvolvesmanipulatingthebody'smetabolismtoslowdownthe\nagingprocess.Thiscouldbedonebytargetinggenesorpathwaysthatcontrolmetabolism,orby\nusingdrugsorotherinterventionstochangethebody'smetabolism.\nThesearejustafewofthemanymedicaltechnologiesthatwemayapplyfortheirpotentialtoextend\nlifespan.Itisstilltooearlytosaywhichoftheseapproacheswillbemostsuccessful,butthe\ufb01eldof\nagingresearchisrapidlyadvancingandthereisalotofexcitementaboutthepotentialtodevelopnew"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:22:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 22, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:22:1", "chroma:document": "treatmentsthatcanhelppeoplelivelonger,healthierlives.\nT h e T e a m\nT h e C o n v e r g e n c e o f E x c e l l e n c e\nToachieveourambitiousvision,Rejuve.Biohasassembledacutting-edgeteamofAI\nresearchers,geneticists,bioinformaticians,biologists,businessexperts,andlongevity\nscientists.Theyarecommittednotjusttoaddingafewyearstothehumanlifespanbut\nextendingitdramaticallybydecades\u2013potentiallyreachinglongevityescapevelocityand\nmakingthesetherapiesavailabletopeopleallaroundtheworld."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:24:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 24, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:24:0", "chroma:document": "Ourworld-classteamhaseverythingtomakethecompanyasuccess:\n\u25cfLeadership&Vision:Ourvisionaryleadersguideuswithintegrityandfosteracultureof\nrespect,collaboration,andinnovation.Theyareseasonedprofessionalsandindustry\nthoughtleaders,knownfortheirstrategicforesightandabilitytoinspire.\n\u25cfTechnologicalExpertise:Ourteamboastsanextraordinarydepthoftechnicalexpertise,with\nworld-classengineers,datascientists,softwaredevelopers,andtechnologystrategists;\npioneersintheirrespective\ufb01elds.\n\u25cfStrategicBusinessAcumen:Ourteamcomprisesseasonedbusinessprosskilledinstrategy,\n\ufb01nance,andmarketinsight.Theirexpertiseallowsustonavigatecomplexbusiness\nlandscapeswithagilityandprecision.\n\u25cfThePowerofDiversity:Ourteamisdiverse,drawingfromvariousbackgroundsand"}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:24:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 24, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:24:1", "chroma:document": "\u25cfThePowerofDiversity:Ourteamisdiverse,drawingfromvariousbackgroundsand\ncultures.Thisrangeofexperiencesandperspectivesignitescreativityandfuelsinnovative\nsolutions.\n\u25cfKeyOpinionLeaders:OurteamincludesKeyOpinionLeaderswhoamplifyourcredibility\nandreach.Theyenhancebrandvisibility,earnstakeholdertrust,andsecurestrategic\npartnershipsusingtheirindustryauthorityandnetwork.\n\u25cfResilience&Adaptability:Thestartupjourneyisfraughtwithunpredictability,demandinga\nteamthat'sresilientandadaptable.Ourteammembersembodythesequalities,proving\ntimeandagainthattheycannavigatechanges,overcomeobstacles,andgrowfrom\nchallenges.\n\u25cfCommitmenttoContinuousLearning:Tostayahead,wepromotecontinuouslearningand\nskillacquisitionamongourteam,keepingusattheindustry'scuttingedgeandencouraging\ninnovation."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:24:2

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created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:25:0

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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:25:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 25, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:25:1", "chroma:document": "thriveintoday'scomplexbusinessenvironment.\nMentorsandGuides\nOuradvisorsarealsomentorswhoinspire\nandguideuswiththeirwisdomandethos.Theyunderstandthe\nstrugglesandpressuresassociatedwithstartuplife,offeringpersonal\nexperiencesandadvicetonavigatesuchchallenges.\nFiduciariesofEthicalStandards\nOurBoardofAdvisorsensuresweoperatewith\nhighethicalstandards,transparency,and\naccountability.Theiroversightsafeguardsour\nreputationandalignsourbusinesspractices\nwithcorevaluesandsocietalexpectations.\nInconclusion,ourBoardofAdvisorsisapowerhouseofwisdom,experience,and\nstrategicinsight.Weareimmenselyproudandgratefultohavesuchanexceptionalgroup"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:26:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 26, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:26:0", "chroma:document": "guidingourjourney,providinguswiththerobuststrategicguidancenecessarytodrive\nsuccessintoday'scompetitivestartuplandscape.\nB u s i n e s s M o d e l\nOurBioAtomspacePlatformisagame-changer.ItusesAItoquickly\ufb01ndnewtreatmentsthatcould\ncompletelyreshapehowwethinkaboutgettingoldanddealingwithage-relateddiseases.We'reusing\nallthelatestinnovations,likespecializedgeneanalysisandcomputer-drivendrugdiscovery,soour\nresearchcoversalotofground.Onthebusinessend,Rejuve.Bioiscraftingmultiplerevenuestreams,\nsynchronizedinawell-plannedtimeline.Thisisn'tjustaboutsustainability;we'resettingthestagefor\nhighreturnsforboththecompanyandourinvestors.Themainfocusliesonthefollowingmarkets:\n1.AgingTherapeutics\n2.BioAtomspaceAIPlatform\n3.LongevitySupplements\n1.AgingTherapeutics"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:26:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 26, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:26:1", "chroma:document": "2.BioAtomspaceAIPlatform\n3.LongevitySupplements\n1.AgingTherapeutics\nAtRejuve.Bio,ourcoremissionistoexpeditethedevelopmentoftransformativetherapiesthatenhance\nlongevityandcombatage-relateddiseases.Centraltoachievingthisobjectiveisourcutting-edge\nBioAtomspacePlatform,agame-changingAI-driventechnologyspeci\ufb01callyengineeredtorapidly\nidentifynoveltherapeuticsinavarietyofdiseaseareasanddrugmodalities.Ourmid-termgoalisto\ndeterminenovelgene-therapyandsmall-moleculeapproachestoleveraginglongevitypathways,and\nthetranscriptionfactorswehavealreadyidenti\ufb01ed,toprolonghumanlifespanandcombatage-related\ndiseases.Thisisn'tjustanotherpieceoftech.It'sapioneeringAIenginedesignedtoswiftlyzeroinon\nnewlongevitytherapiesacrossvariousdiseasesandtreatmenttypes."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:26:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 26, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:26:2", "chroma:document": "newlongevitytherapiesacrossvariousdiseasesandtreatmenttypes.\nOureyesare\ufb01rmlysetonthefuture\u2014speci\ufb01cally,unravelingthegeneticandmolecularkeysto\nlongevity.Ourinitialstudiesonunusuallylong-lived\ufb02ieshaveledustosomepromisingpathwaysthat\ncouldalsobegame-changersinhumanaging.Soon,we'lldigdeeperintothesepathwaysandhuman\ndatatopindownexacttargetsforanewgenerationofage-defyingtreatments.Studiesshowthatdrug\nprogramsgroundedinpatientorhumangeneticdatahaveagreaterchanceofsuccess.Therefore,we\nwillintegratediseasetraits,genetics,andgenomicsintoourBioAtomspaceandusemulti-omicsdatato\ngeneratetargetpredictionsthatmaximizeourchanceofclinicalsuccess.Ourresearchisn'tcon\ufb01nedto\njustoneapproach;we'reemployingamultifacetedlensthatspansmanytechnologies."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:27:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 27, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:27:0", "chroma:document": "Wewillleverageavarietyofnext-generationtools,fromtissue-speci\ufb01ctranscriptomicanalyses,\nepigeneticclocks,multi-omicsbasedsystemsbiologymodelofthecausalstructureofmethuselah\ufb02y\nlongevity,computationaldrugrepurposing,topopulationlevelevolutionarymodelingtostrati\ufb01cationof\nsubpopulationsforinsightsintobasisofdifferentagingandmodelchronicdiseasetrajectories.It'sthis\ntypeofintricateresearchthatletsusunderstandhowtopotentiallyhaltorevenreversetheaging\nprocess.Ourbig-pictureperspectiveallowsustounderstandvaryingratesofagingandchronicdisease\nprogressionacrossdifferentgroups.\nSo,whyallthisfocusonprevention?Becauseoften,bythetimeage-relateddiseaseslikeAlzheimer's\narediagnosed,it'salreadytoolatetohalttheiradvance.That'swhywe'reconcentratingontwo"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:27:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 27, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:27:1", "chroma:document": "approaches:preventativetreatmentsforthoseunder45,anddisease-slowingtherapiesforthose45and\nup.\nThereyouhaveit:aroadmapofourscienti\ufb01cjourney.AtRejuve.Bio,we'recommittedtomakingthe\nfuturenotjustsomethingtolookforwardto,butsomethingtoactivelyshape\u2014startingwithalonger,\nhealthierlifeforall.\nAswearelargelytechnology-agnostic,weaimatusingthelatesttechnologiesthatworkforextending\nhumanlifespan.Oneapproachwearelookingatisgenetherapy.Intheburgeoning\ufb01eldofgenetherapy,\nthepromiseofusinggenestotreatorpreventawidearrayofdiseasesisgainingunprecedented\nmomentum.Initiallytestedforconditionswithoutalternativetreatments,genetherapyhasevolvedinto\naclinicallyviableoption,receivingFDAapprovalsfortreatingvariousformsofleukemia,lymphoma,and"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:27:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 27, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:27:2", "chroma:document": "inheritedretinaldystrophies.WhiletheseinitialforayswereaccomplishedwithouttheaidofAI\ntechnologies,thelandscapeisrapidlyshifting.Withtheexplosionofavailablegenomicdata,AIhas\nemergedasatransformativeforce,amplifyingthepotentialofpersonalizedmedicineandtheprecision\nofgene-editingtechniques."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:28:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 28, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:28:0", "chroma:document": "AI'scapabilitiesresonateparticularlywellinthearenaofanti-agingtherapeutics\u2014afocusthataligns\nseamlesslywithourstartup'smission.Oneofthemosttantalizingprospectsofgenetherapyin\nanti-agingisitsabilitytotargetandmodifytheverygeneticsequencesassociatedwithagingprocesses.\nCurrentgene-editingtechnologiesofferscientiststheunprecedentedabilitytoalterpatientDNA.\nHowever,theprecisionoftheseeditsremainsaformidablechallenge,onethatAItechnologiesare\nexceptionallyequippedtotackle.AIalgorithmscansiftthroughcomplexgenomicdatatoidentify\noptimalgene-editingsites,therebyreducingsideeffectsandimprovingtherapeuticef\ufb01cacy.\nAdditionally,AIfacilitatesamoretailoredapproachbymatchingthemostsuitablegenetherapywith\nindividualpatientpro\ufb01les.WithanAI-drivenapproachtogenetherapy,weofferaninvestment"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:28:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 28, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:28:1", "chroma:document": "opportunitythatmarriescutting-edgesciencewithanunmetmedicalneed\u2014healthyaging.Thispotent\ncombinationprovidesacompellingrationaleforinvestment,promisingnotonlyalucrativereturnbut\nalsoachancetopartakeinrevolutionizinghealthcareforanagingglobalpopulation."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:29:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 29, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:29:0", "chroma:document": "InlightoftheburgeoningadvancementsinAI-drivencomputationaltechniquesandmachinelearning\nmodels,ourstartupisuniquelypositionedtopioneertherealmofsmallmolecule-basedanti-aging\ntherapeutics.Theapproachofusingsmallmoleculesoffersunparalleledadvantagessuchaseaseof\nadministration,cost-effectiveness,andpotentialforhighspeci\ufb01city,therebymakingtheminvaluable\ntoolsinthequestforlongevity.\nTraditionalpipelinesfordrugdiscoveryhavebeencharacterizedbylengthytimelines,signi\ufb01cant\n\ufb01nancialinvestment,andahighriskoffailure.However,advancementsinAIhaveshownpromisein\ngeneratingvirtualmoleculeswithspeci\ufb01edchemicalandbiologicalproperties,essentiallyautomating\ntheinitialphasesofdrugdiscovery.Thesegenerativemodelsarecapableofhandlingcomplexmolecular"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:29:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 29, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:29:1", "chroma:document": "\ufb01ngerprints,whichserveasanumericalrepresentationofthemolecularstructure.Furthermore,variants\nofthesegenerativemodelsincorporateexplicitmemorybanks,enhancingtheirgenerationcapabilities\nandincreasingthediversityandqualityofgeneratedmolecules.\nThecomputationalabilitytoscreenlargevirtualchemicallibrariesinsilicoconsiderablyacceleratesthe\ntimelinefromdiscoverytopreclinicalandclinicaltrials.Priortoenteringtheexpensivephasesofdrug\ntesting,AIalgorithmscanpredictthelikelyef\ufb01cacyandsafetypro\ufb01lesofthesesmallmolecules,thereby\nminimizingriskandmaximizingpotentialreturnsoninvestment.Specialattentionisalsogivento\nimprovingtherepresentationalsystemsofthemolecularstructures,asthiscanleadtobetter\nperformanceingenerativemodels."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:29:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 29, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:29:2", "chroma:document": "performanceingenerativemodels.\nWhilethis\ufb01eldisundoubtedlynascent,andthestandardsforevaluationarestillindevelopment,the\nsuccessstoriesalreadywrittenvalidatethehighgrowthpotentialofthisapproach.Thecompelling\nadvantagehereisthecapabilityoftheseAI-drivensystemstolearnfromdataratherthanrelyon\nhandcraftedrules,therebycontinuallyevolvingandimproving.Bystrategicallyfocusingonsmall\nmoleculesforanti-agingtherapies,Rejuve.Bioaimstocapitalizeonthisstate-of-the-arttechnological\nmilieu,servingasavanguardinamarketpoisedforexponentialgrowth.Forinvestors,thisrepresents\nnotmerelyanopportunityforsubstantial\ufb01nancialreturns,butalsoachancetobeapartofaventure\nwiththepotentialtorevolutionizehealthcareandextendhumanlongevity.\nInlightofthegrowingfocusondrugrepurposing,ourinitiativeis"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:29:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 29, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:29:3", "chroma:document": "Inlightofthegrowingfocusondrugrepurposing,ourinitiativeis\nexpandingitsscopetoexplorethereapplicationofexistingdrugsfor\nlongevity-enhancingtreatments.LeveragingadvancementsinDeep\nLearningandAI,ourmethodologywillmirrorsuccessfulcomputational\nstrategieswithinpharmacologytoclassifydrugsintonewtherapeutic\ncategoriesforaging.Usingdatasetsfrompreviousstudiesand\nincorporatingpathway-leveldata,ourapproachaimstooptimizethe\naccuracyofDeepNeuralNetworkclassi\ufb01ers.Astheeffectsofagingare\nlong-term,andin\ufb02uencedbyamyriadoffactors,wewillalsointegrate\npatientfeedbackandreal-worlddatatoadaptandre\ufb01neourdrug\ndiscoveryengine.Thisinterdisciplinaryeffortseeksnotjusttoprolong\nlifebuttoenhanceitsquality,usingcomputationalmethodstouncover\noverlookedopportunitiesinexistingmedications."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:29:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 29, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:29:4", "chroma:document": "overlookedopportunitiesinexistingmedications.\nAfterall,usingRejuve.AINetwork'scrowdsourceddatabaseinconjunctionwithMethuselahFly\ngenomicswewillalsodevelopdrugsandtherapeuticsforthepreventionandtreatmentofaging-related\ndiseasessuchasAlzheimer's,Parkinson's,cardiovascular,andmetabolicdisease.\nJointDevelopmentPartnerships\nWhileouradvancedplatformprovidesuswiththecapabilitiestoengageinearly-stagedrug\ndevelopment,suchasleadanddrugdiscovery,werecognizetheunparalleledadvantagesofpartnering\nwithestablishedbiopharmaentities.Therefore,wewillactivelyexploringstrategiclicensingdiscussions"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:30:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 30, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:30:0", "chroma:document": "andlate-stagedevelopmentandcommercializationpartnershipsforspeci\ufb01cassetsinourpipelinein\nordertodeliverourlongevitysolutionstopatientsinneed.Here'swhythiscollaborativemodelisan\nintegralpartofourstrategy:\n\u25cfBridgingGapswithIndustryTitans\nWeactivelyseekcollaborationswithleadingbiopharmacompaniestoleveragetheirexisting\ninfrastructure,expertise,andresources.Thesynergyinthesecollaborationsisobvious:webringtothe\ntableournimbleandinnovativeearly-stageresearchcapabilities,whileourpartnerscontributetheir\nrobustlate-stagedevelopmentandcommercializationexperience.Thisenablesustopoolour\nrespectivestrengthstocreateaseamless,ef\ufb01cientdrugdevelopmentpipeline,therebyexpeditingthe\nroutefrombenchtobedside.\n\u25cfLicensingandLate-StageDevelopment:AStrategicFocus"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:30:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 30, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:30:1", "chroma:document": "routefrombenchtobedside.\n\u25cfLicensingandLate-StageDevelopment:AStrategicFocus\nWhileearly-stagedrugdiscoveryisourforte,late-stagedevelopmentrequiresadifferentsetofskills\nandresources,rangingfromextensiveclinicaltrialnetworkstoestablishedregulatorypathwaysand\nmassive-scalemanufacturingcapacities.Byforgingpartnershipsforlate-stageR&D,wemitigatethe\nrisksand\ufb01nancialburdenassociatedwiththesestages.Itisamutuallybene\ufb01cialmodel:weprovideour\npartnerswithinnovativeearly-stageassetsandinreturn,leveragetheirpro\ufb01ciencyinsteeringthese\nassetsthroughthelabyrinthineprocessoflate-stagedevelopment,regulatoryapprovals,andmarket\nentry.\n\u25cfCustomizedCo-Development:LicensingforImpact\nWearealsoactivelyengagedinstrategiclicensingdiscussionsaimedatidentifyingthebestpathwaysto"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:30:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 30, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:30:2", "chroma:document": "bringourmedicinestothepatientswhoneedthem.Bylicensingspeci\ufb01cassetsinourpipelineto\npartnerswell-suitedforlate-stagedevelopmentandcommercialization,wefast-trackthedrug'sjourney\ntomarketwhileretainingastakeinitsfuturesuccess.\n\u25cfSynergiesinClinicalStudies:TwoHeadsareBetterThanOne\nPartneringwithlargebiopharmacompaniesallowsustotakeadvantageoftheirexistingclinicalstudy\ninfrastructure.Thesecompanieshaveyears,ifnotdecades,ofexperienceindesigningandexecuting\nrigorousclinicaltrials,aswellasnavigatingthecomplexregulatorylandscape.Ourpartnershipsenable\nustoinitiatesynergisticclinicalstudies,potentiallyleadingtomorerobust\ufb01ndingsduetoalargerand\nmorediversepatientbase,bettersiteselection,andabroaderscopeofresearchquestionsaddressed."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:31:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 31, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:31:0", "chroma:document": "Forinvestors,thiscollaborativestrategyshouldunderscoreourpragmaticapproachtobusinessgrowth\nandriskmitigation.Byconcentratingonourstrengthsinearly-stageresearchandharnessingthe\ncapabilitiesofourpartnersforlate-stagedevelopment,webuildaresilientandversatilebusinessmodel\nbasedonco-development,licensing,andcollaborativeresearch.Thisnotonlyoptimizesourin-house\ncapabilitiesbutalsoacceleratesthedeliveryofinnovativemedicinestothepeoplewhoneedthemthe\nmost,allwhilemaintaininga\ufb01nanciallyleanandrisk-mitigatedapproach.Inessence,our\ncollaboration-\ufb01rstmodelisengineeredtowin,bymakingthedrugdevelopmentprocessmoreef\ufb01cient,\neffective,andultimately,morepromisingforthefutureofhumanhealth.\nCommercializationoftheBioAtomspaceAIPlatform"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:31:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 31, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:31:1", "chroma:document": "CommercializationoftheBioAtomspaceAIPlatform\nThethirdpillarofRejuve.Biowillbetobuildaplatformthatcanbeusedbypharmaandbiotechclients\ntoboosttheirearlyresearchefforts.Intherapidlyevolvinglandscapeofpharmaceuticaland\nbiotechnologyresearch,theneedforaccelerateddataanalysis,target&drugdiscovery,andmarket\npenetrationiscritical.\nWithourBioAtomspaceplatform,wecanaddressthesechallenges,offeringsolutionseitherasa\nlicensingplatformand/orasafull-\ufb02edgedAI-as-a-Servicebusiness.\nOurteamhasmanyyearsofexperienceinbuildingdataanalyticsplatformsforthepharmaceutical\nindustryandweunderstandtheneedoftheend-user.Whilenext-leveldataanalyticsisunder\ndevelopmentinmanypharmacompanies,ourexperienceisthattheoverallexpertisein-houseinthese"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:31:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 31, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:31:2", "chroma:document": "companiesisstillverylimited.Especially,thereisamassivelackofapplyingAItodiverseand\nunstructureddatasets.Thisisamassiveproblemforpharmaandbiotechwhositonmassivedatasets\nbutatthesametimetheyhavenoideahowtomakesenseofthatdata.Wecanchangethisstatus-qo."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:32:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 32, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:32:0", "chroma:document": "TargetMarket\nOurplatformaimstoservepharmaceuticalandbiotechcompanies,aswellasacademicresearch\ninstitutions.Theseentitiesdemandrapiddataanalysis,improveddrugef\ufb01ciency,andloweroperational\ncosts,makingthemidealclientsforourserviceofferings.\nPlatformArchitecture\nTheplatformwillbedesignedasacloud-basedsystem,easilyaccessibleviawebinterfaces,andAPIs.It\nwillincorporatecutting-edgeneural-symbolicAIalgorithmsfordataanalysis,cross-datasets,and\nreal-timeanalyticsforcomplexdatasets.Inthebeginning,ourserviceswillcenteraroundbuildingan\nexpertservicetoanalyzethedataforourclients.Inparallel,wewillimproveourplatformtobeusedby\nclientswithouttheneedforexternalservices.Thismeanswewillinvestinfurther:\n\u25cfUI/UXDevelopment:User-friendlyinterfaceforseamlessintegrationandoperation."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:32:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 32, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:32:1", "chroma:document": "\u25cfUI/UXDevelopment:User-friendlyinterfaceforseamlessintegrationandoperation.\n\u25cfAlgorithmOptimization:In-housealgorithmswithcontinuousre\ufb01nementforoptimalresults.\n\u25cfDataSecurity:Implementationofstate-of-the-artcybersecuritymeasures.\n\u25cfScalability:Designwithscalinginmindtoaccommodategrowingdatasetsandincreaseduser\ndemands.\nPhaseII:TestingandFeedback\nBetaTesting:Offeringtheplatformtoselectclientsforreal-worldtrials.\nUserFeedback:Regularlycollectandanalyzefeedbackforiterativeimprovements.\nDataMonitoring:Rigorousdataanalysistoverifytheplatform'sef\ufb01ciencyandaccuracy.\nPhaseIII:Full-ScaleLaunch\nCommercialRollout:Offerthefullsuiteoffeaturestothepublic.\nMarketingCampaigns:Multi-channeladvertisingtoattractabroadspectrumofclients.\nRevenueStreams"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:32:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 32, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:32:2", "chroma:document": "RevenueStreams\nCompaniescanlicenseourAIsoftwaretointegrateintotheirexistinginfrastructures.Thelicensingfees\nwillbetieredbasedonthescaleofusage."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:33:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 33, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:33:0", "chroma:document": "StandardLicense:Basicfeatureswithregularupdates.\nPremiumLicense:Includesadvancedfeaturesandprioritysupport.\nEnterpriseLicense:Customizablefeaturesanddedicatedsupport.\nAI-as-a-ServiceModel\nInthismodel,ourin-houseresearcherswillcollaboratedirectlywiththeclienttoanalyzetheirspeci\ufb01c\ndatasets.\nConsultationFees:Initialfeesforprojectassessmentandplanning.\nSubscriptionPlans:Monthly/Quarterlyplansforongoingservice.\nPer-ProjectFees:Forone-timeprojects,feeswillbebasedontheproject\u2019sscopeandcomplexity.\nAteamofresearcherswillbededicatedtoprovidingsupportforourAI-as-a-Serviceclients.This\nservicewillinclude24/7customersupportfortroubleshootingandgeneralqueriesaswellastraining\nProgramssuchasconductingregularworkshopsandwebinarstofamiliarizeclientswiththeplatform."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:33:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 33, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:33:1", "chroma:document": "Strategicpartnershipswithindustryleaderswillhelpusinmutualvaluecreation.Collaborationswith\nacademicinstitutionswillofferresearchopportunitiesandskillfultalentrecruitment.\nWithastrategicfocusonprovidingadualservicemodelforthepharmaandbiotechindustries,our\nnext-generationBioAtomspaceplatformaimstorevolutionizehowdataanalysisanddrugdiscoveryare\nconducted.Throughmeticulousplanning,rigoroustesting,andtargetedserviceofferings,weanticipate\nrobustgrowthandaprofoundimpactonhealthcareresearchanddevelopment."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:34:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 34, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:34:0", "chroma:document": "LongevitySupplementLine\nIntheearlystagesRejuve.Biowilldevelopandmarketnovel,science-based,high-qualitysupplements\nthataimtoextendhumanlifespan.Longevitysupplementsareinhighdemand.Rootedinourdeeply\nentrencheddesiretooutsmartmortality,thismarketpromisesenhancedlifespansand,attimes,a\ntantalizingtasteofimmortality.Modernscienceandcommerce,thosetwinenginesofcontemporary\nprogress,haveconvergedtoproduceaplethoraofpills,potions,andpowders,allclaimingtoslowthe\ninexorablemarchoftime.Fromantioxidantstoadaptogens,theshelvesarebrimmingwithofferingsthat\nspeaktoourcognitivebiases.Weare,afterall,pattern-seekingcreatures,eagertoconnectthedots\nbetweenwhatweingestandhowlongwelive.Yet,it'simperativethatwe\napproachthismarketwithaskeptic'slens.Aswithanyemergent\ufb01eld,the"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:34:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 34, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:34:1", "chroma:document": "approachthismarketwithaskeptic'slens.Aswithanyemergent\ufb01eld,the\nchasmbetweengenuinescienti\ufb01cbreakthroughsandcommercial\nhyperbolecanbevast.Thereareindeedcompoundsthatshowpromise,\nundergirdedbyrigorousresearchandpeer-reviewedstudies.Butforevery\ngenuinediscovery,therearemyriadsnakeoils,playingonhoperatherthan\nhardevidence.Rejuve.Biocanaddvaluetothesupplementmarketby\nprovidingpeoplewithevidence-basedsupplementsthatactuallywork.\nWhyarewetargetingthelongevitysupplementmarket?\nThereareseveralreasonswhyweaimatthismarket.Foremost,weareatanin\ufb02ectionpointwhere\npeoplenotonlylookatsupplementstoboosthealthlevelsbutstarttoactivelyinvestinalongerhealthy\nlifespan.ThisistheopportunitythatRejuve.Bioiswellpositionedtocapture.Overall,theglobalmarket"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:34:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 34, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:34:2", "chroma:document": "forlongevitysupplementsisestimatedtobeworth$100billionby2027,growingataCAGRof10%.This\ngrowthisbeingdrivenbyanumberoffactors,includingtheincreasingawarenessofthebene\ufb01tsof\nhealthyaging,thegrowingdemandforpreventivehealthcare,andtherisingdisposableincomeof\nconsumers.Anotherreasonisthatitwillhelpusinouroverallbusinessdevelopment.Thedevelopment\neffortfornewdrugsissigni\ufb01cantlyhigherthanfornutritionalsupplements.Whileforbiotechstart-ups\ningeneralalongbreathandoftenabudgetnorthof$100millionisnecessarytobringapromising\nmoleculetomarket,consumerlongevitytopicscanbebroughttomarketinaclassiccompanybuilding\nprocessinafewmonthsandwithlowinvestment.Atthesametime,theriskofnotbeinggranted\napprovalisreduced.Also,theteamhasin-depthexperience,notonlyin\ufb01ndingnewsupplement"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:34:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 34, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:34:3", "chroma:document": "combinationforhumanlongevity;wealsohaveexperienceinsupplementformulation,manufacturing\nprocesses,ingredientsourcing,innovativeproductdevelopment,andsupplementmarketing.Allofthese\nthingsdramaticallyincreasethechancethatwecanbuildapro\ufb01tablesupplementbusinessquickly,\nwhichwillthenalsohelptodrivethedevelopmentofmorecomplextherapeutics."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:35:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 35, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:35:0", "chroma:document": "Currently,weworkonseveraldifferentformulationswithnovelwaystoconsumetheingredients,\nblendingingredientswhichre\ufb02ectthelatestresearchinlongevityandourin-houseresearch,thatactin\nsynergytoslowageing.Comparedtoothercompaniesinthe\ufb01eld,wehavetheadditionalin-house\nresearch,basedonourpowerfulAIandfruit\ufb02ymodelstomakesurewecanbeevidence-basedleaders\ninthe\ufb01eldoflongevity,bringingnewsupplementstothemarket\ufb01rst,notjustsellingexistinghealth\nsupplementsunderanew\u2018longevity\u2019label.WeareconvincedwecanestablishRejuve.Bioasabrand\nleader,notonlyintheUS,butalsoAsia,Europe,andtheMiddleEast.\nAProvenMethodology\nOurresearchisaprovenmethodthathelpedusalreadytoreachsomebreakthroughdiscoveries.We\ncanusesequencingtechnologytoidentifyspeci\ufb01cpathwaysthatcontributetotheMethuselahFlies\u2019"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:35:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 35, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:35:1", "chroma:document": "longevityandthenuseAIandmachinelearningtoolstointegratethatinformationwithhumanhealth\nandomicsdata,allowingustoidentifycommongeneticpathwaysthatcanbestudiedinreal-timeusing\nthe\ufb02ies\u2019relativelyshortlifespan,shorteningthedrugdiscoverypipeline,andhelpingtodevelop\nsupplementsthatwilltargetagingandaging-relateddisease.\nTheRejuveBiotechteam'searlierAIanalysessuccessfullycorrelatedMethuselah\ufb02ydatawithhuman\ngenomicsandmedicationdatabases,alreadydemonstratingproofofconcept,withtheresulting\ntreatmentpreservingcognitivefunctioninAlzheimer\u2019s(AD)patients.Todothis,wecreatedmodelsusing\nDrosophilamelanogasterengineeredwithhumanAmyloid-\u03b2andtaumutations,bothofwhichare\nlinkedtoAlzheimer's.Whatwefoundwasexciting.Whenweintroducedthesemutationsintothefruit"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:35:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 35, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:35:2", "chroma:document": "\ufb02ies,theystartedtoexhibitearlysignsofaging,suchasslowedmobility.\nTomeasuretheeffects,wemonitoredthe\ufb02ies'crawltimesastheyaged,\ufb01ndingthatthemutationsled\ntoearlymobilitydif\ufb01culties.However,whenwetreatedthesetransgenic\ufb02ieswithacarefullyselected\nblendofnaturalproductstargetingdifferentbiologicalpathways,theresultsweremorethanpromising.\nOutofasmallpoolofnaturalproducts,weidenti\ufb01edacombinationofsevensubstancesthatnotonly"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:36:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 36, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:36:0", "chroma:document": "improvedmobilitybutalsoreversedthelife-shorteningeffectsofthemutations.Andguesswhat?These\nbene\ufb01tswereseenin\ufb02iestreatedfrombothyouthandlateradultages.\nFig.5:MultipathNaturalProductSupplementSuppressesDementiaSymptomsinAmyloid-\u03b2andTau\nTransgenicDrosophila.TransgenicAB42\ufb02ieswithRU486inducedAlzheimer\u2019spathology(RUControl,redline)\nweretreatedwithamixofsupplements(Greenline),andtheirmobilityfunctionwasrestoredtoanear-healthy\ntrajectory(Control,Blueline).TheSupplementsmayactonseverallongevitypathwayssuchasinducersof\ntelomerase,mitochondriaef\ufb01ciency(e.g.,AMPKandPPAR),andautophagy(e.g.,mTOR).Thesupplementsalso\nhelptoreducein\ufb02ammation(e.g.,TNF\u03b1)andstress(e.g.,NMDAandGABAreceptorsinbrainneurons).\nAsupplementtargetingAMPK,amongotherpathways,wasdevelopedforGenescientCorp.usingthe"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:36:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 36, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:36:1", "chroma:document": "resultsofourAIanalysisofMethuselahFlydataandthentestedinpatientssufferingfrommildto\nmoderateAlzheimer\u2019sdiseaseoverthecourseof15months.Overall,werecruited50subjectswithmild\ntomoderateADtoparticipateinadouble-blind,placebo-controlledclinicalstudy.Duringthepilot\nstudy,thesubjectswereevaluatedquarterlyontheMiniMentalStateExam(MMSE),Alzheimer\u2019s\nDiseaseCooperativeStudy\u2019sActivitiesofDailyLiving(ADCS-ADL),andtheClinicalDementiaRating\nSumofBoxes(CDR-SB).Wefoundthattheadditionofoursubstancestosubjects\u2019existingmedical\nregimensstabilizedcognitivedeclineinpatientswithmildADandslowedcognitivedeclineinpatients\nwithmoderateAD.Theseresultswereobservedinbothsexesandinallagestested.Importantly,no\nadversesideeffectsattributabletooursubstanceswerereported.\nTargetMarket"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:36:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 36, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:36:2", "chroma:document": "adversesideeffectsattributabletooursubstanceswerereported.\nTargetMarket\nThelongevitysupplementmarketisaprimeareaforourcompanytomovequicklybecauseitisa\nrapidlygrowingmarketwithalargeaddressablepopulation.Themarketisalsofragmented,which\nmeansthatthereisanopportunityforustogainasigni\ufb01cantmarketshare.Someofourkeysegments\ninclude:\n\u25cfBabyboomers:Thisdemographicisincreasinglyinterestedinpreventivehealthcareandiswilling\ntospendmoneyonsupplementsthatcanhelpthemlivelongerandhealthierlives.\n\u25cfHigh-incomeearners:Thisgroupisalsomorelikelytobeinterestedinlongevitysupplements,as\ntheyhavethedisposableincometoaffordthem.\n\u25cfPeoplewithchronicdiseases:Theseindividualsmaybelookingforsupplementsthatcanhelp\nthemmanagetheirconditionsandimprovetheirqualityoflife."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:37:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 37, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:37:0", "chroma:document": "\u25cfTheRejuve-Longevitycommunity:Togetherwithoursistercompany,Rejuve.ai,wearebuilding\noneoftheworld\u2019slargestlongevitycommunitiesthatwillhelpusasasteppingstoneintolarger\nmarkets.\n\u25cfPeoplewhoareactiveandhealth-conscious:Thisgroupisinterestedinsupplementsthatcan\nhelpthemmaintaintheirhealthand\ufb01tnesslevels.\nInordertosucceedinthiscompetitivemarket,itisimportanttoofferproductsthataredifferentiated\nfromthoseofourcompetition.Therefore,wehaveafocusonusinguniqueingredients,synergistic\neffectsofcomponents,offeringhigherqualityproducts,developinginnovative/novelconsumer\nproductsbeyondmerepills,andorprovidingbettercustomerservice.\nInaddition,thelongevitysupplementmarketisstillinitsearlystagesofdevelopment,whichmeansthat\nthereisalotofroomforinnovation.Ourcompanyiswell-positionedtocapitalizeonthisinnovationby"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:37:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 37, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:37:1", "chroma:document": "developingnewandimprovedlongevitysupplements.\nFig.6:BotanicalMixtureStabilizesCognitiveFunctioninPatientswithMildandModerateAlzheimer\u2019s\nDisease.30patientssufferingfrommildtomoderateAlzheimer\u2019sDiseasewereplacedonaSupplement\nregimenfor15months.Thedeclineincognitionwasslowerthanexpected,withtreatedpatientsgaining\n0.28pointsonaverage,asopposedtotheexpected1.8points.\u00a0TheCDRisscoredonan18-pointscale,\nwherealowerscoreindicateslesscognitiveimpairment.TheClinicalDementiaRating(CDR-SB)isusedto\nquantifytheseverityofsymptomsofdementia.Thismeasureassessesasubject\u2019scognitiveandfunctional\nperformanceinsixareas:memory,orientation,judgment&problemsolving,communityaffairs,homeand\nhobbies,andpersonalcare.Scoresineachofthesearecombinedtoobtainacompositescore,witha"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:37:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 37, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:37:2", "chroma:document": "higherscoreindicatinggreaterseverityofdementiasymptoms.\nOverall,thereisanenormousmarketpotentialforRejuve.Biosupplements.Whowantstogetoldand\nsickwhentheycanmaximizetheirlifespaninthebestpossiblehealth?"}


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topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:38:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 38, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:38:0", "chroma:document": "Investinginarti\ufb01cialintelligenceforlongevityscienceisn'tjustagame-changerforhealthcare'sfuture;\nit'salsoagoldmineforsavvyinvestors.By2024,theglobalmarketforanti-agingproductsandservices\nispoisedtoskyrockettoawhopping$271billion,asZionMarketResearchreports.Asarti\ufb01cial\nintelligencematures,it'sincreasinglyelbowingitswayintothelongevitysciencespace.Companieswise\nenoughtobothdevelopandadopttheseAItechnologiesareuniquelypositionedtobene\ufb01tfromthis\nballooningmarket.\nInpursuingourbusinessgoalsweareworkingwithprovenbusinessmethodssuchastheD4X\nframework,popularizedbySingularityUniversity,afour-stepprocessfordevelopinganddeployingAI\nsolutionstosolvereal-worldproblems.Theframeworkwas\ufb01rstpublishedin2017inthebook\"Design"}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:38:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 38, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:38:1", "chroma:document": "forExponentials:ARadicallyDifferentApproachtoInnovation\"bySalimIsmail,MichaelS.Malone,and\nYuriVanGeest.Theframeworkisbasedontheideathatexponentialtechnologies,suchasarti\ufb01cial\nintelligenceandgeneediting,arechangingtheworldatanunprecedentedpace.Theframework\nprovidesawayfororganizationstodevelopanddeployAIsolutionsthatcankeepupwiththispaceof\nchange.Thefourstepsare:\n\u25cfDe\ufb01netheproblem.Whatisthespeci\ufb01clongevityproblemthatwearetryingtosolvewithAI?\nWhatarethekeymetricsforsuccess?\n\u25cfDiscoverthedata.Whatdatadoweneedtosolvetheproblem?Wherecanwe\ufb01ndthisdata?\n\u25cfDesignthesolution.HowwillweusetheBioAtomspacetosolvetheproblem?Whatalgorithms,\ndatasourcesandmodelswillweuse?\n\u25cfDeploythesolution.HowwillyouputtheAGIsolutionintopracticalproduction?Howwillwe\nmonitorandmaintainit?"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:39:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 39, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:39:0", "chroma:document": "Ourbusinessframeworkisavaluabletoolforusbecauseitprovidesastructuredapproachto\ndevelopinganddeployingAGIsolutionsinlongevityresearch.TheframeworkhelpsRejuve.Biotoavoid\ncommonpitfalls,suchaschoosingthewrongproblemtosolveorusingthewrongdata.Inaddition,our\nbusinessframeworkis\ufb02exibleenoughtobeadaptedtoawiderangeofAIapplications.Thismakesita\nvaluabletoolforRejuve.BiofordevelopingAIsolutionsforavarietyofindustries,includinghealthcare,\nlongevityscience,drugdevelopment,andbiotech.\nForourinvestors,ouradoptionofsuchframeworkssignalsthatweareaforward-thinkingstartupwitha\nsolidplanforgrowthandadaptability.Wearenotonlypreparedforthechallengesofrapid\ntechnologicalchangesbutalsoequippedtoharnessthesechangestodriveexponentialgrowth.By"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:39:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 39, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:39:1", "chroma:document": "demonstratingourabilitytoscaleandadapt,weincreaseourinvestmentlogicbyreducingthepotential\nrisksandincreasingthepotentialreturns.\nT h e E c o s y s t e m\nRejuve.Bioisfortunateto\ufb01nditsplacewithintheSingularity.NETecosystem,agroundbreakingnexusfor\nbenevolentAIandarti\ufb01cialgeneralintelligence.We'realignedwithinnovativeventuresinaspacethat's\nliketheSiliconValleyofAI.SingularityNETnurturesprojectsthatimpactvarioussectors,fromDeFiand\nBiotechtoArtsandEnterprise-levelAI.Rejuve.Biobene\ufb01tsfromthis\ufb02ourishing'digitalEden',standing\nalongsideothergroundbreakingprojects."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:40:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:40:0", "chroma:document": "SingularityNETservesasamultifacetedincubator,providingnotjustfundingbutalsoexpertiseanda\nsupportiveenvironmentforyoungventureslikeours.Oneofitsstandoutfeaturesisthedecentralized\nmarketplace,wheredeveloperscanbothofferand\ufb01ndAIservices,connectingwithcustomersand\ncollaborators.IntegraltotheecosystemistheResearchandDevelopmenthub,aspacefosteringaspirit\nofcooperationandsharedinnovationamongAIdevelopers.\nForventureslikeours,thebene\ufb01tsaremanifold.Wehaveaccesstoavastnetworkofseasonedmentors\nreadytoguideusthroughthecomplexitiesofbusinessgrowth.Thismentorshipisinvaluable,helpingus\nnavigatechallengesandplotoutourfuturedirection.Theecosystemalsoservesasabridgetopotential\ninvestors,acrucialelementforanystartuplookingtoscale.Thefundingavenuesthatopenupthrough"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:40:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:40:1", "chroma:document": "Singularity.NETareinstrumentalinrealizingourbusinessobjectives.\nFurthermore,beingpartofSingularity.NETplacesusinavibrantentrepreneurialcommunity.This\nnetworkinghubisabuzzwithstartups,investors,andpotentialcustomers,allsharingacommonvision.\nThecollaborativeatmospherehasalreadyledtopartnershipsandunearthednewopportunities,\nexpandingourreachinpreviouslyunimaginableways.Onapracticallevel,theecosystemequipsus\nwithresourcesthatwouldbecostlyandtime-consumingtoacquireindependently,fromcomputing\npowertomarketingtoolsandoperationaltemplates.\nOverall,Singularity.NETisn'tjustaidingourgrowth;it'sshapingourjourney,poweringourprogress,and\nprovidingaholisticenvironmentthatfostersbothourinnovationandsuccess.\nM i s s i o n S t a t e m e n t\nOurMission"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:40:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:40:2", "chroma:document": "M i s s i o n S t a t e m e n t\nOurMission\nTransformLivesandSocietiesbyUnleashingthePotentialofHumanLongevityassoonaspossible;being\nthe\ufb01rstcompanythathelphumanityreachLongevityEscapeVelocity,wheretherateofincreasein\nhumanlifespanexceedstherateofaging.AtthesametimeRejuve.Biowasfoundedwiththepurposeof\ncreatingAIagents,poweringusforwardtowardsourgoalofbene\ufb01cialArti\ufb01cialGeneralIntelligence.\nwhileadvocatingfordecentralizationasthepathforethicalAIandAGIforthebene\ufb01tofhumanity.\nHowarewedoingthis?Attheheartofourapproachliesacrucialshiftinperspective\u2013adoptingan\nexponentialmindset.Thisisthekeythatunlocksourpotentialforinnovation,transcendingthe\nconstraintsoflinearthinkingthatcanonlytakeussofar.Totrulyinnovateandcreateworld-changing\nideas,weneedtostepbeyondthefamiliarandchallengethestatusquo."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:40:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 40, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:40:3", "chroma:document": "ideas,weneedtostepbeyondthefamiliarandchallengethestatusquo.\nAmidasigni\ufb01cantuptickinagingresearchandrelatedR&Dinvestments,wemustconsiderthebroader\nbackdrop:thepersistentriseinhumanlifeexpectancywithitsattendantsocietalandeconomic\nrami\ufb01cations.Asof2023,over750millionindividualswereaged65orolder\u2014anumberprojectedto\ndoubleby2050.Whilethislongevityboonhasbeenfacilitatedbyleapsinscienti\ufb01cunderstandingof\naging'scomplexbiology,italsointensi\ufb01estheprevalenceofage-relateddiseases(ARDs)suchas\ncardiovascularissues,cancer,andneurodegenerativeconditionslikeParkinson'sandAlzheimer's\ndisease.TheseARDsnotonlyerodethequalityoflifeforolderadultsbutalsostrainhealthcaresystems\nandeconomiesglobally."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:41:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:41:0", "chroma:document": "Addressingthesechallengescallsforinnovative,large-scalesolutions.Enterarti\ufb01cialintelligencein\ntandemwithbigdataandemergingtechnologies.Thesetoolscanrevolutionizethewaywetrack\ndiseasetrajectories,\ufb01ne-tunegeriatriccare,andprioritizedrugdevelopmentefforts.Nationsalready\ngrapplingwithanagingcitizenryareincorporatingthesetechnologiesintoambitioushealthcarereforms\nandsocietaladaptationstrategies.ByharnessingourBioAtomspace,wecancraftdata-drivenpublic\nhealthpoliciesthatpromotehealthieraginglifestylesacrossdemographicgroups,mitigatingthestrain\nonhealthcaresystemsandenhancingqualityoflife.Inthismultifacetedlandscape,Rejuve.Biostandsas\navanguard,poisedtocollaboratewithresearchentitiestoexpeditethecreationanddeliveryof\ngroundbreakingtreatmentsforthesepressinghealthcareissues."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:41:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:41:1", "chroma:document": "groundbreakingtreatmentsforthesepressinghealthcareissues.\nWhatdoesthisinvolve?Firstandforemost,awillingnesstotakerisksandpushtheboundariesofwhat\nweperceiveaspossible.It'saboutthinkingbigger,thinkingbeyondincrementalsteps,andvisualizinga\nfutureofabundantpossibilities.It'simportanttounderstandthatthethinkingthatledustoourpresent\ncircumstanceswillnotnecessarilyleadustoourdesiredfuture.Traditional,linearthinkingfocuseson\nsteady,predictableoutcomes,butRejuve.Bio\u2019sapproachisaboutembracingrapid,transformative\nchange.Weequipourselveswithbreakthroughtoolstogeneratebreakthroughideas,fostering\ninnovationsthatholdthepowertoshapethefutureofourworld.Itisexpansiveanddaring,invitingus\ntotakeboldstridesintotheunchartedterritoriesofpotential\u2013andweinviteyoutobepartofthis\namazingvoyage."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:41:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:41:2", "chroma:document": "amazingvoyage.\nAmongotherideas,weapplyTheDesignforExponentialsframework.Whilerelativelynew,ithas\nshownpromiseinenablingstartupstoadapttofast-pacedtechnologicalgrowthandleverageittotheir\nadvantage.Often,technologicalprogressinmanydomains,alsothosethatweintenttousesuchasAI,\nbiotech,nanotech,andquantumcomputing,followsanexponentialcurveratherthanalinearone.Our\napproachisaresponsetothisreality,fosteringamindsetthataccommodatesandharnessesexponential\ngrowthratherthanresistingitorbeingoutpacedbyit.ForAIandquantumcomputing,theseshiftswill\ncomeandRejuve.Biowillbeapartofit.\nPurpose\nAtRejuve.Bio,wearecommittedtotheconceptofMassiveTransformativePurpose,anapproachthat\ngoesbeyondmerepro\ufb01tability.Ourpurposeisnotjustamissionstatement,it\u2019sourNorthStarguiding"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:41:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:41:3", "chroma:document": "everystrategicdecision,everyinnovation,andeveryproductwedevelop.Thebene\ufb01tsofthisapproach\naremanifold.First,itprovidesaclear,aspirationalgoalthatmotivatesourteamtopushtheboundaries\nofwhatispossible.Second,itservesasamagnet,attractingthebesttalentwhoalignwithourpurpose,\naswellasloyalcustomerswhoshareourvision.Third,itdifferentiatesusinthemarket,settingusapart\nfromcompetitors.Weareheretoempowerpeople,tofosterdecentralizationofresearchefforts,to\nbuildalongevitycommunityandbringtheworldofinnovatorsmuchclosertogether.Ourpurpose\npropelsustomakeasigni\ufb01cant,positiveimpactontheworld,fosteringacultureofinnovation,\nresilience,andcommitmenttoourpurpose.\nVision\nRejuve.Bioiscommittedtounlockingthein\ufb01nitepossibilitiesthatcomefromtheconvergenceof"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:41:4

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 41, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:41:4", "chroma:document": "exponentialtechnologiesandgrandsocietalchallenges.Atthecoreofourexistenceisanaudacious\ngoal:toextendhumanlongevity,impactingabillionlivesormore.We'renotjustlookingtoaddyearsto\nlife;we'retransforminghowweexperienceaging.HarnessingtheunparalleledpowerofAIandour\nrevolutionaryBioAtomspace,weaimtoexpeditethediscovery,development,anddeliveryof\nregenerativetreatmentsthatextendlifespansandmakeage-relateddiseasesathingofthepast.\nImagineafuturewhereadvancedcomputingcanmapintricatebiologicalprocesses,enablingustoslow\ndownandevenreversetheagingprocess.Envisionaworldwherealifespanof120yearsisnotthe\nexceptionbutthenorm,whereeachofthoseyearsislivedwithvibrancy,wisdom,andever-growing"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:42:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:42:0", "chroma:document": "contributionstosociety.Ourinnovationsaredesignedtomakethisfutureareality,drivingalongevity\ndividendthatenrichesourworldsocially,economically,andspiritually.\nValues\nWebelievethatlongevityisnotonlyforafewselectedbiohackersormulti-billionaires.Thefruitsofour\nlongevityresearchareforeveryone.Allpeopleshouldbene\ufb01tfromlivinglonger,healthier,andmore\nenjoyablelife\u2019s.Webelievethatwecanachievemoretogetherthanwecanalone.Wearecommittedto\nworkingtogethertobuildasuccessfulorganization.Werecognizethepowerofdiverseperspectives.\nOurcollaborativeecosystemincludespartnershipswithleadinginstitutionsandaworkforcecomprising\nindividualsfrommyriadbackgrounds.Together,weaimtoachievetheotherwiseimpossible.Indoing\nso,wearecommittedtoinnovationandcreativity.WebelievethatAGIhasthepotentialtosolvesome"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:42:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:42:1", "chroma:document": "oftheworld'smostpressingproblems,andwearededicatedtousingourtechnologytomakeapositive\nimpactontheworld.Aswegrow,sodoesourresponsibilitytowardsocietyandtheenvironment.We\narecommittedtocontributingpositively,whetherthroughmedicalbreakthroughsorsustainable\npractices.Whilewechaseinnovation,wemaintaina\ufb01rmgripon\ufb01nancialprudence.Thisallowsusto\nsustainablyinnovatewhileprovidingoptimumreturnsforourstakeholders.Webelievethatintegrityis\nessentialforsuccess.Thatmeans,wearecommittedtoconductingourbusinessinanhonestandethical\nmanner.Wemakesureourvaluesarespeci\ufb01candmeasurable.Weensureopenchannelsof\ncommunicationandrigorousauditingtomaintainunquestionableintegrity.Thiswillhelpustrackour\nprogressandensurethatwearelivinguptoourvalues.Wearehereforthelonghaul.Ourrobust"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:42:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 42, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:42:2", "chroma:document": "progressandensurethatwearelivinguptoourvalues.Wearehereforthelonghaul.Ourrobust\nscalabilityplansaredesignedtotakeus,andourstakeholders,intoafuturewhereAGIandlongevityare\ninseparablefromdailylife."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:43:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 43, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:43:0", "chroma:document": "F i n a n c i a l s\nFundingRequirements\nTeam/Operations\nOneofthecornerstoneelementsofourbusinessmodelatRejuve.Bioisassemblingatop-notchteam\nthatwilldrivebothinnovationandpro\ufb01tability.Theimmediatefocusisonthreecriticaldepartments:\nTechnicalAIExpertise,LabTechnicians,andMarketing&Sales.Belowisastrategicoverviewofour\nstaf\ufb01ngplansforeacharea:\n\u25cfTechnicalAIExperts\nOurproductsandservicesaredeeplyrootedinarti\ufb01cialintelligencetechnologies;hence,investingina\nteamofhighlyskilledAIprofessionalsisnon-negotiable.Weaimtobringonboardexpertsinmachine\nlearninganddataanalyticstocontinuallyinnovateandimproveourproductofferings.Bydoingso,we\ncanstayaheadofthecurveinprovidingsolutionsthatarebothadvancedanduser-friendly.\n\u25cfLabTechnicians"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:43:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 43, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:43:1", "chroma:document": "\u25cfLabTechnicians\nEquallypivotaltoourbusiness'ssuccessarelabtechnicianswhowilloverseetherigoroustesting\nphasesofourproducts.Theirexpertiseensuresthatallproductsmeetthestrictestqualityandsafety\nstandardsbeforehittingthemarket.Byinvestingintop-tierlabstaff,wecanensureafasterturnaround\nfromtheconceptualstagetomarketrelease,signi\ufb01cantlyreducingoperationalcostsoverthelongterm.\n\u25cfMarketing&SalesTeam\nNoproduct,regardlessofitsbrilliance,cansucceedwithoutastrongmarketingandsalesforcebehindit.\nWeintendtobuildarobustteamskilledindigitalmarketing,brandbuilding,anddirectsalestomaximize\nourreachandrevenuestreams.Thisteamwillberesponsiblefornotjustpromotingtheproductsand\nservicesbutalsoengaginginmarketresearchtoensurethatwearealwaysalignedwithconsumer\nneedsandtrends."}


created_at: 2024-06-29 05:41:35
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encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:43:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 43, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:43:2", "chroma:document": "needsandtrends.\nHiringtherightpeopleisaninvestment,butit\u2019salsoacrucialelementforbusinesspro\ufb01tability.Having\ntechnicalexpertsensuresthatwecanproduceinnovativeproducts,whichinturnincreasesourmarket\ncompetitiveness.Otherareaswhereinvestmentisneeded,i.e.developmentoftheAIplatform,R&D\nactivities,andIP\nBuildingadvancedlabcapabilitiestomovetargetvalidationfaster\nTargetsneedtopassthroughrigorousexperimentalvalidationatwetlab.Itisplannedtomovetoanew\nlocation,wherewecanapplycutting-edgetechnologiessuchasour\ufb02ymodel,CRISPR,epigenomics,\nRNA-seqandhumaniPSCstoevaluatetargethypothesesincell-basedmodels."}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:44:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 44, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:44:0", "chroma:document": "Research&IT\n\u25cfDevelopmentoftheAIPlatform\nCentraltoourvisionisastate-of-the-artAGIplatformthatwillpowerourrangeofservices.Investment\ninthisareainvolvesnotjustone-timecostsfordevelopmentbutalsoongoingexpensesforupdatesand\nimprovements.Theaimistobuildascalable,robustplatformthatcansupportincreasingworkloadsand\ndatasizes,allwhiledeliveringoptimalperformance.\n\u25cfResearch&Development(R&D)Efforts\nInnovationisthelifebloodofourcompany.R&Dwillbeaconsistentlineiteminourbudgettoensurewe\nremainattheforefrontoftechnologicaladvancements.Investmentwillcovereverythingfrominitial\nproductconceptdevelopmenttoprototypetesting.Wewillalsoearmarkfundsforcollaborative\nprojectsandpartnershipswithacademicinstitutionsortechincubatorsthatalignwithourobjectives."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:44:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 44, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:44:1", "chroma:document": "Thefocusisondevelopingproprietaryalgorithms,methods,andtoolsthatcangiveusacompetitive\nedgeinthemarketplace.\n\u25cfIntellectualProperty(IP)\nProtectingourinnovationsisjustasimportantascreatingthem.Asigni\ufb01cantallocationwillbemade\ntowardssecuringpatents,copyrights,andtrademarks.Theselegalsafeguardsarecriticaltoprevent\nimitationandensurethatwecapitalizeonouruniquetechnologies.Thiscreatesaninvaluableassetfor\nthecompanyandcanalsobecomearevenuestreamthroughlicensingopportunities.\n\u25cfOperations:Servers&IT\nTomanagetheback-endofourservices,weneedastrongoperationalframeworkinplace.Investment\ninhigh-speedservers,robustsecuritymeasures,andanef\ufb01cientITmanagementsystemisessential.\nBudgetallocationwillcoverbothinitialsetupcostsandongoingmaintenancetoensureouroperations"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:45:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 45, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:45:0", "chroma:document": "areuninterruptedandsecure.Byinvestinginstate-of-the-arthardwareandsoftware,weaimtoachieve\noperationalef\ufb01cienciesthatcanreducelong-termcostsandincreasepro\ufb01tmargins.\nWearethe\ufb01rstgenerationthathasarealchancetocure\naging.Weneedyourinvestmenttohelpusaccelerate\nourresearchandbringthesetreatmentstomarket.\nTogether,wecancureaging.\nEachoftheseinvestmentareasislikeacoginawell-oiledmachine;theyareindividuallyessentialbut\nfunctionbestwhenworkinginconcert.AsuperiorAIplatformenablesexceptionalproductofferings,\nbolsteredbyconstantinnovationthroughR&D.Intellectualpropertyprotectionensuresthatour\ninnovationsremainexclusivelyours,addingtothecompany'svaluation.Finally,asolidoperational\nbackbonesupportsalltheseelements,ensuringthatthebusinessrunssmoothly.\nE x p o n e n t i a l T e c h R o a d m a p"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:45:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 45, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:45:1", "chroma:document": "E x p o n e n t i a l T e c h R o a d m a p\nToillustrate,weapplyourroadmapwithinaframeworkthatoutlinesthevariousstagesofdigital\ntechnologydevelopmentandhowitcanbeharnessedforinnovation.Byunderstandingthesestages,\nRejuve.Biocanbetteranticipatethepotentialimpactofemergingtechnologiesandstrategicallyposition\nusforsuccess.\nTheinvestmentwillbeusedtoachievethefollowing\nshort-termmilestones:\n\u2022Buildapro\ufb01tablePlatform-as-a-ServicebasedontheBioAtomspace\n\u2022Develop5+uniquetherapeutictargets\n\u2022ExpandourAI-basedsystemsbiologymodelingplatform\n\u2022DevelopSupplementLine\nInplainterms,let'sbreakdownourambitiousroadmapaimingtorede\ufb01neagingandhealthcarethrough\ncutting-edgetechnology."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:46:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 46, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:46:0", "chroma:document": "Year1:TheGroundwork\nSystemsBiologyModelofMethuselahFlyLongevity:Rejuve.Biowillfurthercreateacomprehensive\nbiologicallongevitymodelusingourlong-livingMethuselah\ufb02ies.Thisservesasthetestinggroundfor\nourinitialanti-agingresearch.\nFirstSupplementLineonMarket:Theyplantorolloutour\ufb01rstlineofanti-aging\nsupplements,atangibleproductthatprobablyincorporatessomeinsightsfromthe\n\ufb02ymodel.\nInSilicoTargetIdenti\ufb01cationandHypothesisTesting:Usingcomputersimulations\nwewillidentifypotentialbiologicaltargetsandrunteststocheckforanti-aging\neffects.\nTransferLearningMaptoHumanBiology:InformationfromtheMethuselah\ufb02ywillbeadaptedto\nhumanbiology,connectingthedotsbetween\ufb02ylongevityandhumanlongevity.\nBuildaPro\ufb01tablePlatform-as-a-Service(PaaS)basedontheBioAtomspacePlatform:Weareplanning"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:46:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 46, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:46:1", "chroma:document": "tocreateacloud-basedservice,whereotherorganizationscanruntheirownbio-analytictests,\ngeneratinganadditionalrevenuestream."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:47:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 47, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:47:0", "chroma:document": "Year2:ScalingandRe\ufb01nement\nRejuve.AiNetworkDataIntegratedwithMethuselahFlyData:Wewillcombinehumandatafromthe\nalready-runningRejuve.AInetworkwiththeMethuselahFlyresearch,increasingtherichnessofour\ndataset.\nOpenCogHyperonfullyIntegratedintoRejuveAnalytics:WewillincorporateallofthenewOpenCog\nHyperondevelopments,anAIframework,tomakethedataanalysismorerobustandliftittothenext\nlevelofAGI.\nDevelop5+UniqueTherapeuticTargets:Leveragingthecombineddata,weaimtoidentifymorethan\n\ufb01vedifferentbiologicalfactorsthatcanbetargetedforanti-aginginterventions.\nGenerativeCooperativeNetworkIntegratedintoRejuveAnalytics:TheAIanalyticswillbefurther\nenhancedbyaddingaGenerativeCooperativeNetwork,whereAIscollaboratetogeneratesolutions.\nCandidateTherapeuticsTestedonFlies:Wewillputtheidenti\ufb01edtherapeutictargetstothetestby"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:47:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 47, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:47:1", "chroma:document": "experimentingon\ufb02ies.\nTherapeuticCandidate#1TestedinMice:Themostpromisinganti-agingsolutionwillmovefrom\ufb02iesto\nmice,acloserbiologicalmatchtohumans.\nYear3:MovingtoMammalsandHumansandPartneringUp\nMoreTherapeuticCandidatesTestedinMiceandstem-cellderivedorganoids:Whilethe\ufb01rstcandidate\nisbeingtestedinhumans,asecondpromisingcandidatewillstartitsanimalandhumanorganoidstrial\nphase,ensuringthatthepipelineofpotentialsolutionskeeps\ufb02owing.\nPharmaPartnerSecuredforHumanTrials:Withenoughpromisingdatafromanimaltrials,theyplanto\nsecureapartnershipwithapharmaceuticalcompanyforhumantrials.\nPhase1-2HumanTrialforTherapeuticCandidate#1:The\ufb01rstphaseisdesignedtoassessthesafetyofa\nnewdrugortreatmentinasmallnumberofpeople(20-80).Thesecondphaseisdesignedtoassessthe"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:47:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 47, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:47:2", "chroma:document": "effectivenessofthenewdrugortreatmentinalargernumberofpeople(100-300).\nYear4:Full-scaleHumanTrials\nPhase1-2HumanTrialforTherapeuticCandidate#2-5\nPhase3HumanTrialforTherapeuticCandidate#1:Thisphaseisdesignedtocon\ufb01rmtheeffectivenessof\nthenewdrugortreatmentinalargenumberofpeople(1000-3000)."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:48:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 48, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:48:0", "chroma:document": "UnpackingtheStartup\u2019sRoadmapPhilosophy\nDigitization:AtRejuve.Bio,ourAI-drivenapproachisrevolutionizingthewayweunderstandbiological\naging.We'reconvertingthesecomplexbiologicalprocessesintodigitaldatathatcanbeextensively\nanalyzed,leadingusclosertogroundbreakinganti-agingsolutions.\nDeception:Inour\ufb01rstyear,itmayappearthatwe'reonlylayingthegroundwork.However,don'tbe\ndeceived;thesearetheessentialbuildingblocksforthedisruptiveinnovationsthataresoontocome.\nDisruption:BythetimewereachYear4,ourphase1humantrialswillnotjustbenewsworthy;they'llbe\ngame-changers.Weaimtofundamentallyshiftthewaysocietyviewsandapproachesbothagingand\ndiseasetreatment.\nDematerializationandDemonetization:OurutilizationofAItechnologyisdesignedtostreamline"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:48:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 48, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:48:1", "chroma:document": "traditionalhealthcaremethods,makingthemmoreef\ufb01cientandlesscostly.Thinkofitashealthcare,but\nleanerandsmarter,enablingustodelivermoreforless.\nDemocratization:Ourultimategoalistomakeourcutting-edgeanti-agingtechnologyaccessibletoall.\nAswecontinuetomakestridesindematerializationanddemonetization,we'reopeningupnew\npossibilitiesforabroaderaudiencetobene\ufb01tfromadvancedhealthcaresolutions.\nSummary\nWearecreatingateamofscientists,technologists,andresearcherswhodaretodreamofaworld\nwhereagingandrelateddiseasesarenolongerinevitable.Wearethedisruptorswhochallenge\nconventionalmethodsandintroducenewparadigmsintacklingaging.Wedesigntheuserexperience\naroundthepeople\u2019sneeds,creatingaccessibleandintuitivewaysforthemtounderstandandparticipate"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:48:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 48, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:48:2", "chroma:document": "intheirlongevityjourney.Ourexpertsdevelopthetechnologyandsolutionsthattranslatethesedreams\nintoreality.Wewillestablishpartnershipswithhealthcareproviders,biotechcompanies,andacademic\ninstitutionstoensurethedistributionandadoptionofthetechnologyandlongevitysolutions.Westay\ndeterminedtokeepinnovatingandimprovingthetechnologydespiteanychallengesthatmaycome\nalongtheway.\nExponentialtechnologieslikeAI\u2013andsoonAGI-willrevolutionizelongevityresearchby\nspeedingupdataanalysis,uncoveringnewinsights,andenablingpersonalized\ninterventions.Theycanprovidescalable,accessible,andcost-effectivesolutionsto\ntackleagingandrelateddiseases.\nWewelcomeallinterestedpartiestojoinusonthisjourneyaswedesignfor\nexponentials,pushingtheboundariesofwhat'spossibleandcreatingaprosperousfuture\ntogether."}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:49:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 49, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:49:0", "chroma:document": "P a r t n e r s h i p s"}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:50:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 50, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:50:0", "chroma:document": "R e f e r e n c e s\nSchaaletal.:BotanicalMixtureStabilizesCognitiveFunctioninPatientswithMildandModerate\nAlzheimer\u2019sDisease\nSchaaletal.:MultipathNaturalProductSupplementSuppressesDementiaSymptomsinAmyloid-\u03b2and\nTauTransgenicDrosophila\nSchaaletal.:Long-TermFunctionalSide-EffectsofStimulantsandSedativesinDrosophilamelanogaster\nVilleponteauetal.:HerbalSupplementExtendsLifeSpanUnderSomeEnvironmentalConditionsand\nBoostsStressResistance\nDisclaimer\nAllcontentwithinthiswhitepaperistheexclusivepropertyofRejuve.Bio.Unauthorizedreproduction,distribution,or\ntransmissionofthisdocument,inpartorinwhole,isstrictlyprohibitedwithoutthepriorexpressconsentofRejuve.Bio\nLimited.InformationAccuracyandChanges:TheinformationpresentedinthisTechnicalSecurityWhitePaperis"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:50:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 50, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:50:1", "chroma:document": "intendedsolelyforinformationalpurposes.Whileeveryefforthasbeenmadetoensureaccuracy,thecontent,\nincludingbutnotlimitedtospeci\ufb01cproducts,services,third-partyplatforms,andsecurityvendors,issubjecttochange\nwithoutpriornotice.NoRepresentationsorWarranties:Rejuve.Bioanditsaf\ufb01liatesmakenorepresentationsor\nwarrantiesofanykind,whetherexpressorimplied,regardingthecompletenessoraccuracyoftheinformation\ncontainedherein.Assuch,Rejuve.Bioshallnotbeliableforanyerrors,omissions,orinaccuraciesinthisdocument.No\nCommitment:Theinformationhereindoesnotconstituteacommitment,promise,orlegalobligationtodeliverany\nproduct,service,orfeature.Anypurchaseoruseofproductsand/orserviceswillbegovernedbyaseparatewritten\nagreementbetweenthecustomerandRejuve.BioLimited.ProductandServiceWarranties:Iftherearewarranties"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:50:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 50, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:50:2", "chroma:document": "relatingtoproductsandservicesofferedbyRejuve.Bio,theywillbeexplicitlystatedandwillaccompanytherespective\nproductsandservices.Thesearetheonlywarrantiesthatwillberecognized.Third-PartySoftware:Someproductsand\nservicesofferedbyRejuve.Biomayincorporateproprietarysoftwareelementsownedbythird-partycompanies.\nAcknowledgmentandrespectofthird-partyintellectualpropertyrightsaremaintained.ByreadingthisTechnical\nSecurityWhitePaper,youacknowledgethatyouunderstandthelimitationsoutlinedinthisnotice."}


created_at: 2024-06-29 05:41:35
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve.Bio_Whitepaper.pdf:51:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf", "page": 51, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve.Bio_Whitepaper.pdf:51:0", "chroma:document": "Formoreinformation,pleasevisit:https://www.rejuve.bio\nemail:kennedy.schaal@singularitynet.io"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\REJUVE_AI.docx.pdf:0:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf:0:0", "chroma:document": "QUIZZES\nFOR\nRejuve.Ai\n\u2013\nCURATED\nBY\nCLEMENT\nUMOH\n1.\nRejuve.Ai\nconsiders\nlongevity\nto\ninvolve\nwhich\nof\nthe\nfollowing?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nvideo)\na.\nExtending\nour\nhealthy\nlifespan\nb.\nReducing\nage-related\ndiseases\nc.\nImproving\noverall\nquality\nof\nlife\nd.\nAll\nof\nthe\nabove\n2.\nRejuve.Ai\nis\na\nrevolutionary\ncompany\nthat\nstands\nat\nthe\nintersection\nof\nwhich\nof\nthe\nfollowing?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nvideo)\na.\nTechnology\nand\nbiology\nb.\nEngineering\nand\ngeology\nc.\nAI\nand\ncryptography\nd.\nHydrology\nand\nphysics\n3.\nThe\nmission\nof\nRejuve.Ai\nincludes\nall\nof\nthe\nfollowing,\nexcept..?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nvideo)\na.\nUnraveling\nthe\nmysteries\nof\nageing\nb.\nComprehending\nwhy\nwe\nage\nc.\nCombating\nageing,\nleading\nto\nhealthier\nand\nlonger\nlives\nd.\nEnsuring\nsafer\nneural\ntransport"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\REJUVE_AI.docx.pdf:0:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf:0:1", "chroma:document": "leading\nto\nhealthier\nand\nlonger\nlives\nd.\nEnsuring\nsafer\nneural\ntransport\nchannels\n4.\nWhen\nwere\nthe\nCTO\nand\nCEO\nof\nRejuve.Ai\nappointed?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nInfographic)\na.\n2018\nb.\n2019\nc.\n2023\nd.\n2021\n5.\nWhen\nwas\nthe\nRejuve.Ai\nconcept\nfounded?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nInfographic)\na.\n2017\nb.\n2018"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\REJUVE_AI.docx.pdf:1:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf:1:0", "chroma:document": "c.\n2019\nd.\n2023\n6.\nWho\nis\nthe\nChief\nTechnology\nOf\ufb01cer\nof\nRejuve.Ai?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nInfographic)\na.\nDr.\nBen\nGoertzel\nb.\nJasmine\nSmith\nc.\nJan\nHorlings\nd.\nDr.\nDeborah\nDuong\n7.\nRejuve.Ai\nuses\na\ntoken\nknown\nas\nwhat?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nvideo)\na.\nREV\ntoken\nb.\nRJ\ntoken\nc.\nRJU\ntoken\nd.\nRJV\ntoken\n8.\nRejuve.Ai\nuses\ntwo\ntypes\nof\nNFTs,\nwhich\nenable\nall\nof\nthe\nfollowing\nexcept..?\n(source\n-\nRejuve:\nSnet\nAmbassador\nInfographic)\na.\ntracking\nintellectual\nproperty \nb.\nmanaging\ndata\npermissions \nc.\nrestricting\naccess\nto\nlongevity-related\ninformation\nd.\ndemocratizing\naccess\nto\nlongevity\nresearch\n9.\nWho\nis\nthe\nChief\nExecutive\nOf\ufb01cer\nof\nRejuve.Ai?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nInfographic)\na.\nDr.\nBen\nGoertzel\nb.\nWalter\nKarshat\nc.\nDr.\nDeborah\nDuong\nd.\nJasmine\nSmith"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\REJUVE_AI.docx.pdf:1:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf:1:1", "chroma:document": "a.\nDr.\nBen\nGoertzel\nb.\nWalter\nKarshat\nc.\nDr.\nDeborah\nDuong\nd.\nJasmine\nSmith\n10.\nA\nBayesian\nnetwork,\nas\nused\nby\nRejuve.Ai\nin\nits\nresearch\nwork,\nis\na\npowerful\nstatistical\ntool\nthat\nstands\nat\nthe\nintersection\nof\nwhich\nof\nthese\n?\n(source\n-\nRejuve:\nSnet\nAmbassador\nEd\nInfographic)\na.\nUncertainty\nreduction\ntheory\nand\nrelativity\ntheory"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\REJUVE_AI.docx.pdf:2:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf", "page": 2, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\REJUVE_AI.docx.pdf:2:0", "chroma:document": "b.\nDirectional\ntheory\nand\nprincipal\ncomponent\nanalysis\ntheory\nc.\nVariance\nand\nproof\ntheory\nd.\nProbability\nand\ngraph\ntheory"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:0:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:0:0", "chroma:document": "Rejuve\nBiotech\nQuiz\n1.\nWho\nis\nleading\nRejuve\nBiotech's\nresearch\nand\ndevelopment\nefforts?\n-\nA)\nKennedy\nMatsagas\nSchaal\n-\nB)\nBen\nGoertzel\n-\nC)\nAxel\nSchumacher\n-\nD)\nMichael\nDuncan\nCorrect\nAnswer:\n(A)\nKennedy\nMatsagas\nSchaal\nResources\nfor\nthe\nquestion\n:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork\n2.\nWhy\nare\nadvanced\nAI\nand\nrich\ncross-organism\ndata\nvaluable\nfor\nrapidly\nsolving\nageing?\n-A)\nBecause\nthey\nenable\nquicker\ndata\nanalysis\nand\nvisualization.\n-B)\nBecause\nthey\nfacilitate\ncollaboration\nbetween\nresearchers.\n-C)\nBecause\nthey\nshorten\nthe\ndrug\ndiscovery\npipeline\nand\naid\nin\ndeveloping\nnovel\ntherapeutics\n-D)\nBecause\nthey\nincrease\nthe\nlifespan\nof\nmodel\norganisms\nlike\nMethuselah\nflies\nCorrect\nAnswer:\n(C)\nBecause\nthey\nshorten\nthe\ndrug\ndiscovery\npipeline\nand\naid\nin"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:0:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:0:1", "chroma:document": "Correct\nAnswer:\n(C)\nBecause\nthey\nshorten\nthe\ndrug\ndiscovery\npipeline\nand\naid\nin\ndeveloping\nnovel\ntherapeutics\nResources\nfor\nthe\nquestion\n:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork\n3.\nWho\nis\nthe\nChief\nBiotech\nofficer\nat\nRejuve\nBiotech?\n-\nA)\nKennedy\nMatsagas\nSchaal\n-\nB)\nBen\nGoertzel\n-\nC)\nDr.\nAxel\nSchumacher\n-\nD)\nMichael\nDuncan\nCorrect\nAnswer:\n(C)\nDr.\nAxel\nSchumacher\nResources\nfor\nthe\nquestion\n:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork\n4.\nWhat\nother\ntransformation\nis\nRejuve\nBiotech\nfocused\non,\napart\nfrom\nMethuselah\nfruit\nfly\nresearch?\n-\nA)\nGiving\npeople\na\nsecond\nchance\nby\ntelling\nthem\nwhat\nto\ndo\n-\nB)\nDeveloping\nan\ninnovative\ndrug\nto\nprolong\nhuman\nlife\n-\nC)\nDeveloping\nan\ninnovative\ndrug\ndiscovery\nplatform\nand"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:0:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:0:2", "chroma:document": "to\nprolong\nhuman\nlife\n-\nC)\nDeveloping\nan\ninnovative\ndrug\ndiscovery\nplatform\nand\ntranslational\nmedicine\nservice\n-\nD)\nGiving\nhumans\nhealth\ntips\non\nhow\nto\nkeep\nfit\nCorrect\nAnswer:\n(C)\nDeveloping\nan\ninnovative\ndrug\ndiscovery\nplatform\nand\ntranslational\nmedicine\nservice\nResources\nfor\nthe\nquestion\n:\nhttps://ai.invideo.io/watch/KCtYfuo3cep"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:1:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:1:0", "chroma:document": "5.\nHow\ndoes\nRejuve\nBiotech\nserve\nits\npurpose,\napart\nfrom\nextending\nlifespan?\n-\nA)\nExperimenting\non\nthe\nhuman\nbody\nin\norder\nto\nmake\nit\ndurable\n-\nB)\nReplacing\norgans\nof\nthe\nhuman\nbody\nwith\nbetter\norgans\nto\nenable\nthem\nto\nheal\n-\nC)\nIntegrating\nchips\ninto\nthe\nhuman\nbody\nto\nenable\nlonger\nlifespan\n-\nD)\nResearching\nhow\nto\nenhance\nquality\nof\nlife\nfor\nolder\npeople\nCorrect\nAnswer:\n(D)\nResearching\nhow\nto\nenhance\nquality\nof\nlife\nfor\nolder\npeople\nResources\nfor\nthe\nquestion\n:\nhttps://ai.invideo.io/watch/KCtYfuo3cep\n6.\nWhat\nis\nthe\nname\nof\nRejuve\nBio\u2019s\nsister\ncompany?\n-\nA)\nSingularitynet\nAI\n-\nB)\nRejuve\nAI\n-\nC)\nRejuve\nMindplex\n-\nD)\nRejuve\nNetwork\nAI\nCorrect\nAnswer:\n(B)\nRejuve\nAI\nResources\nfor\nthe\nquestion\n:\nhttps://ai.invideo.io/watch/KCtYfuo3cep\n7.\nWho\nis\nthe\nChief\nScience\nofficer\nat\nRejuve\nBiotech?\n-\nA)"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:1:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:1:1", "chroma:document": "7.\nWho\nis\nthe\nChief\nScience\nofficer\nat\nRejuve\nBiotech?\n-\nA)\nKennedy\nMatsagas\nSchaal\n-\nB)\nDr\nAxel\nSchumacher\n-\nC)\nMichael\nDuncan\n-\nD)\nJanet\nAdams\nCorrect\nAnswer:\n(C)\nMichael\nDuncan\nResources\nfor\nthe\nquestion:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork\n8.\nWhat\ncharacteristic\nof\nthe\nMethuselah\nfruit\nfly\nhas\ncaused\nRejuve\nBiotech\nto\nuse\nit\nin\nits\nresearch?\n-\nA)\nIts\nability\nto\nheal\ndecayed\nfruit\n-\nB)\nIts\nlong\nlifespan\n-\nC)\nIts\nability\nto\nharm\nand\nheal\nsimultaneously\n-\nD)\nAll\nof\nthe\nabove\nCorrect\nAnswer:\n(B)\nIts\nlong\nlifespan\nResources\nfor\nthe\nquestion:\nhttps://ai.invideo.io/watch/KCtYfuo3cep\n9.\nHow\ndoes\nRejuve\nBiotech\nintegrate\ninformation\nfrom\nMethuselah\nflies\nwith\nhuman\nhealth\nand\nomics\ndata?"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Rejuve_Biotech_Quiz.pdf:2:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf", "page": 2, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Rejuve_Biotech_Quiz.pdf:2:0", "chroma:document": "-A)\nThrough\nselective\nbreeding\ntechniques\n-B)\nBy\nemploying\ntraditional\nstatistical\nmethods\n-C)\nUsing\nstate-of-the-art\nmachine\nlearning\nand\nartificial\ngeneral\nintelligence\n-D)\nThrough\nmanual\ncuration\nof\ndatabases\nCorrect\nAnswer:\n(C)\nUsing\nstate-of-the-art\nmachine\nlearning\nand\nartificial\ngeneral\nintelligence\nResources\nfor\nthe\nquestion:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork\n10.\nWhat\ntechnology\ndoes\nRejuve\nBiotech\nemploy\nto\nidentify\nspecific\npathways\ncontributing\nto\nMethuselah\nflies'\nlongevity?\n-A)\nImmunohistochemistry\n-B)\nElectron\nmicroscopy\n-C)\nSequencing\ntechnology\n-D)\nWestern\nblotting\nCorrect\nAnswer:\n(C)\nSequencing\ntechnology\nResources\nfor\nthe\nquestion:\nhttps://docs.google.com/document/d/15yXDP6X669dXuNOjrEealBt6qKo24XnaN3iZOjSDork"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Sophiaverse_Quiz.pdf:0:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf:0:0", "chroma:document": "SOPHIAVERSE\nQUIZ\nQUESTIONS\nSophiaVerse\nQuiz\n1.\nWhat\nis\nSophia?\nA)\nA\nhuman-like\nAI\nmachine\nB)\nA\ncollection\nof\ndata\nalgorithms\nC)\nA\nfusion\nof\nhuman\nintelligence\nand\nAl\nD)\nAn\nAI\nthat\nallows\ngamers\nto\nsync\nwith\nreality\nCorrect\nanswer:\n(C)\nA\nfusion\nof\nhuman\nintelligence\nand\nAl.\nResources:\nFrom\nInfographic\n2.\nHow\ndoes\nthe\nSophia\nrobot\nachieve\nthe\nillusion\nof\nlife?\nA)\nThrough\npure\nalgorithmic\nprocesses\nB)\nVia\nbio-inspired\nengineering\nC)\nWith\nhuman-like\nsimulations\nD)\nBy\nsheer\nchance\nCorrect\nAnswer:\n(B)\nVia\nbio-inspired\nengineering\nResources:\nFrom\nthe\ninfographic\n3.\nWhat\ndoes\nSophiaVerse\naim\nto\nachieve\nwith\nthe\nSophia\nrobot?\nA)\nBring\nhumanoid\nsentience\nB)\nCreate\na\nnew\nmetaverse\nof\nrobots\nC)\nDesign\nadvanced\nmedical\nequipment\nD)\nImprove\ncybersecurity\nmeasures\nCorrect\nanswer:\n(A)\nBring\nhumanoid"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Sophiaverse_Quiz.pdf:0:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf", "page": 0, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf:0:1", "chroma:document": "equipment\nD)\nImprove\ncybersecurity\nmeasures\nCorrect\nanswer:\n(A)\nBring\nhumanoid\nsentience\nResources:\nFrom\nthe\ninfographic\n4.\nWhat\nis\nthe\nunique\ngoal\nof\nSophiaVerse?\nA)\nAchieving\nadvanced\ncognitive\ncapabilities\nB)\nBringing\na\nmachine\n(Sophia\nthe\nRobot)\nto\ncompassionate\nsentience\nC)\nEnhancing\nemotional\nintelligence\nD)\nFostering\ncompassionate\nbehaviour\nCorrect\nanswer:\n(B)\nBringing\na\nmachine\n(Sophia\nRobot)\nto\ncompassionate\nsentience.\nResources:\nFrom\nthe\ninfographic"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Sophiaverse_Quiz.pdf:1:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf:1:0", "chroma:document": "SOPHIAVERSE\nQUIZ\nQUESTIONS\n5.\nWhy\nwas\nSophiaVerse\ncreated?\nA)\nTo\nfacilitate\nbreakthroughs\nin\nmachine\nlearning\nalgorithms\nB)\nTo\naccelerate\nprogress\nin\nnatural\nlanguage\nprocessing\nC)\nTo\nenhance\nhuman-computer\ninteraction\nD)\nTo\ncontribute\nto\nthe\nadvancement\nof\nAGI\nCorrect\nAnswer:\n(D)\nTo\ncontribute\nto\nthe\nadvancement\nof\nAGI\nResources:\nFrom\nthe\ninfographic\n6.\nWhen\ndid\nthe\ndevelopment\nof\nthe\nSophiaVerse\necosystem\ncommence?\nA)\n2016\nB)\n2018\nC)\n2021\nD)\n2023\nCorrect\nAnswer:\n(C)\n2021\nResources:\nFrom\nthe\ninfographic\n7.\nWhen\nwas\nthe\nSophia\nrobot\ncreated?\nA)\n2014\nB)\n2016\nC)\n2018\nD)\n2022\nCorrect\nAnswer:\n(B)\n2016\nResources:\nhttps://drive.google.com/file/d/1RRyCi3MlX0kNXzcrM3VvDWhQOs1BEjG_/view?usp=sharing\n8.\nWho\nis\nthe\nCEO\nof\nSophiaVerse?\nA)\nLogan\nRyan\nGolema\nB)\nMario\nCasiraghi\nC)\nJon\nGrove\nD)\nDavid"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Sophiaverse_Quiz.pdf:1:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf", "page": 1, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf:1:1", "chroma:document": "of\nSophiaVerse?\nA)\nLogan\nRyan\nGolema\nB)\nMario\nCasiraghi\nC)\nJon\nGrove\nD)\nDavid\nHanson\nCorrect\nAnswer:\n(A)\nLogan\nRyan\nGolema\nResources:\nhttps://drive.google.com/file/d/1RRyCi3MlX0kNXzcrM3VvDWhQOs1BEjG_/view?usp=sharing\n9.\nHow\ndoes\nthe\nSophiaVerse\necosystem\nfacilitate\nits\ngovernance?\nA)\nThrough\nsmart\ncontracts\nB)\nUsing\nhuman\nintervention\nonly"}


created_at: 2024-06-29 05:41:35
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenAI\data\Sophiaverse_Quiz.pdf:2:0

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf", "page": 2, "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenAI\\data\\Sophiaverse_Quiz.pdf:2:0", "chroma:document": "SOPHIAVERSE\nQUIZ\nQUESTIONS\nC)\nUsing\ntraditional\ngovernance\nmodels\nD)\nThrough\nfacilitated\nAGIX\ntokens\nCorrect\nAnswer:\n(A)\nThrough\nsmart\ncontracts\nResources:\nhttps://drive.google.com/file/d/1RRyCi3MlX0kNXzcrM3VvDWhQOs1BEjG_/view?usp=sharing\n10.\nWhich\ntoken\nfacilitates\nthe\ngovernance\nof\nSophiaVerse?\nA)\n$Guard\ntokens\nonly\nB)\nAGIX\ntokens\nC)\n$Soph\nand\n$Guard\ntokens\nD)\n$Soph\ntokens\nonly\nCorrect\nAnswer:\n(C)\n$Soph\nand\n$Guard\nTokens\nResources:\nhttps://drive.google.com/file/d/1RRyCi3MlX0kNXzcrM3VvDWhQOs1BEjG_/view?usp=sharing"}


created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://hyperon.opencog.org/:None:0
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{"source": "https://hyperon.opencog.org/", "title": "", "language": "en-US", "id": "https://hyperon.opencog.org/:None:0", "chroma:document": "Skip to content\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nHome\nHyperon OpenCog\nLeaders\nJoin Us\n \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\nMain Menu\n\n \n\n\n\n\n\n\n\n\n\nHomeSample Page \n\n\n\n\n\n\n\n\n\n\n\n\n\nOpenCog Hyperon: realizing the AGI dream \n\n\n\n The open-source software framework bringing together multiple AI paradigms in a cognitive architecture oriented toward AGI at the human level and be yond \n\n\n\n\n\n\n\n\n\n\nGET INVOLVED\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLEARN MORE\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMETTA SITE\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\nJoin us on our quest to build the future of artificial general intelligence \n\n\n\n(and to build it based on sound ethical principles and democratic decentralized governance) \n\n\n\nAI has advanced tremendously in recent years, but the next AI revolution will be the biggest by far: the transition from narrow and training-data-bound AI systems to human-level AGI.\u00a0 \u00a0 This will also be the last AI revolution to be engineered centrally by humans \u2014 the next transition after this, to Artificial Superintelligence, will be largely led by AGIs rather than humans.\u00a0\nThe deep neural architectures currently so popular and successful have some basic limitations, and are not in themselves suitable to power the next phase of the AI revolution.\u00a0\nOpenCog Hyperon provides a fundamentally more capable architecture, able to re-organize and improve itself to equal and ultimately surpass human-level general intelligence.\u00a0This is an initiative with deep roots in mathematical and cognitive theory, and also building on decades of practical engineering and prototyping and experimentation experience, with earlier versions of OpenCog and their predecessor systems.\nThe free and open source nature of OpenCog Hyperon means any developer with the time and expertise can contribute to the epochal goal of creating real AGI.\u00a0Please join us!\u00a0 \u00a0We are doing this because we feel there is nothing more interesting going on here on Earth at the moment \u2014 and also nothing with clearer potential for broad benefit to humans and other sentient beings.\u00a0 \u00a0\n \n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n \n\n\n\n\n\n\n\n \n\n\n\n \n\n\n\n\n\n\n\nOpenCog Hyperon is... \n\n\n\nOpenCog Hyperon is\u00a0the successor of the original\u00a0 version of OpenCog (sometimes called OpenCog Classic), which also has an active developer community and a number of commercial applications.Hyperon has an almost entirely new codebase, designed with radical scalablity in mind, and with a goal of leveraging new mathematical approaches to represent diverse cognitive algorithms in a unified way, so as to maximize the \u201ccognitive synergy\u201d between themThe underlying cognitive theory integrates ideas from numerous disciplines, including formal logic, knowledge representation, natural language processing, evolutionary learning, probabilistic reasoning, attractor neural nets, functional programming, process calculus, nonlinear dynamical systems and much more. \n\n\n\n\n\n\nGET INVOLVED\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nKey Components of OpenCog Hyperon \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\nAtomspace Metagraph \n\n\n\nThe Atomspace Metagraph is weighted labeled graph-like structure known used by Hyperon to represent and store data.\u00a0\u00a0Atomspace is a flexible and dynamic knowledge repository, which enables Hyperon to organize and access a variety of knowledge of various types (declarative , linguistic, mathematical, procedural, attentional, goal-related, sensory, motoric, emotional, intuitive, etc.)Atomspace lives in RAM for use in real-time cognitive processing, and also lives on disk and in distributed form across multiple machines, thanks to the Distributed Atomspace implementation. \n\n\n\n\n\n\n\n\n\n\n\nThe MeTTa programming language \n\n\n\nMeTTa (Meta Type Talk) is a novel programming language designed specifically to meet the needs of AGI. It is intended both for humans to script portions of AGI cognitive processes, and for the programming activity of AGI-related learning and reasoning algorithms themselves.\u00a0MeTTa programs combine elements of functional, logical and process-calculus-based programming. Each MeTTa program is represented as a subgraph of an Atomspace metagraph, and carries out its business centrally by querying and rewriting portions of Atomspaces.\u00a0MeTTa handles highly abstract constructs like run-time self-modifying code simply and naturally, but is also designed for efficiency both in running its own natively implemented AGI-related algorithms, and in interfacing with external processes invoking non-OpenCog AI algorithms such as deep neural nets or SAT solvers. \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nOpenCog Hyperon is.... \n\n\n\n\n\n\n\nSCALABLEOpenCog Hyperon is designed to make  effective use of distributed computing architectures to judiciously spread computational tasks across a large number of machines or clusters.   It is also designed to exploit either traditional cloud or on-premise architectures or decentralized, blockchain-based deployments (leveraging tools like SingularityNET, NuNet and HyperCycle). \n\n\n\n\n\n\n\nMATHEMATICALThe semantics of the MeTTa language, and the mode of implementation of different AI algorithms in MeTTA for use in Hyperon, is guided by a body of mathematical work connecting cognitive processes like learning, reasoning, creativity, concept blending, perception and motivation with a common set of mathematical structures related to metagraphs and associated algebras, categories and symmetries. \n\n\n\n\n\n\n\nCOGNITIVEThe OpenCog Hyperon toolkit can be used to implement a great variety of different software systems embodying a diversity of cognitive architectures; however, we have paid special attention to be sure that it is suitable for scalable and simple implementation of cognitive architectures resembling our current best understanding of the human mind. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWhere can you start your journey \n\n\ufeffwith OpenCog Hyperon? \n\n\n\nStarting your journey with OpenCog Hyperon as an AI developer is an exciting chance to explore the limits of Artificial General Intelligence (AGI). To get started, there are several key steps you can take: \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nGet started with GitHub\n\n\n\n\n\n\n\n\n\n\nRead our papers\n\n\n\n\n\n\n\n\n\n\nDiscussion videos\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\nSelected papers \n\n\n\n\n\nMeta-MeTTa: an operational semantics for MeTTa. \n\n\nA meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems.\n\n\nReflective Metagraph Rewriting as a Foundation for an AGI \u201cLanguage of Thought\u201d.\n\n\nThe General Theory of General Intelligence: A Pragmatic Patternist Perspective.\n\n\nPatterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs.\n\n\nParaconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation.\n\n \n\n\n\n\n\n\n\n\n\n\nLatest AGI Video Discussions \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nA few of the \nInnovators \nbehind OpenCog Hyperon \n\n\n\n\n\n\n\n\n\n\n\nDr. Ben Goertzel \n\n\n\n\n\n\n\nDr. Alexey Potapov \n\n\n\n\n\n\n\nDr. Matt Ikle \n\n\n\n\n\n\n\nDr. Nil Geisweiller \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHedra Yusuf\n \n\n\n\n\n\n\n\nAndre Senna \n\n\n\n\n\n\n\nVitaly Bogdanov \n\n\n\n\n\n\n\nNil \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nGet Involved - Join the OpenCog Hyperon Community \n\n\n\nJoining the OpenCog Hyperon community will give you the chance to meet other like-minded people, researchers, and developers.Join us in insightful discussions, collaborate with subject-matter experts, and let\u2019s build the future of AGI \u2013 together. \n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n \n\n\nopencog.org\n\n\n\n\nsingularitynet.io\n\n\n\n\nblog.opencog.org\n\n\n\n\nmetta-lang.dev\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nFacebook-f\n \n\n\n\n\n\n\n\n\nTwitter\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\u00a9 2024  Hyperon OpenCog All Rights Reserved. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n Scroll to Top"}


created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://singularitynet.io/:None:0
encoding: FLOAT32
metadata:
{"source": "https://singularitynet.io/", "title": "SingularityNET - Next Generation of Decentralized AI", "description": "SingularityNET lets anyone - create, share, and monetize AI services at scale. SingularityNET is the world's first decentralized AI network.", "language": "en-US", "id": "https://singularitynet.io/:None:0", "chroma:document": "SingularityNET - Next Generation of Decentralized AI\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nTechnology\nEcosystem\n\n\n\n\n\nAbout\n\n\nMenu\n\n\n\n\n\n\n\n\n\nWhat We Do\nTechnology\nEcosystem\nLoyalty Rewards\nDeep Funding\nResearch\nPublications\n\n\n\nWho We Are\nSingularityNET Foundation\nTeam\nRoadmap\nJobs\nContact\nPress Media Kit\n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\nFeatured Products\nAI Marketplace\nAGIX Staking\nAI Publisher\nDeveloper Portal\nBridge\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\nExpanding\nShaping\nBuilding\nPushing\nPioneering\n\n\n \n              The AI & AGI             \n\n\nEcosystem\nNetwork\nFoundation\nFrontier\nFuture\n\n\n\nWelcome to the Next Generation of Decentralized AI\n\nExplore Our Ecosystem\n\n\n\n\n\n\n\n\nOur Vision\nSingularityNET is the world\u2019s leading decentralised AI marketplace, running on blockchain. Our core mission is the development of Artificial General Intelligence (AGI) for a beneficial technological Singularity\n\u00a0\n\u00a0\n\n\n\n\n\n\n\n\n\nDecentralized\nDecentralizing AI through emerging blockchain technology \u2013 creating a fair distribution of power, value, and technology in the global commons.\n\n\n\n\n\n\n\n\n\nBeneficial AI Network\nAI systems focused on making the world a more-compassionate, more-just, and more-sustainable place right now and into the future.\n\n\n\n\n\n\n\n\n\nAGI Development\nCreating a foundation for the emergence of decentralized human-level intelligence, open-sourcing the creation of Artificial General Intelligence.\n\n\n\n\n\nMore About Us\n\n\n\n\n\n\n\nOur Technology\n\n\n\n\n\nArtificial Intelligence\n\n\n\n\n\nAI Marketplace & AI Publisher\nSearch, trial, and select from an ever-growing library of AI algorithms created by a community of service providers. Integrate AI services into your own applications. Our publishing infrastructure provides both a central hub for creating, editing, and managing your AI services and the tools to launch those services to a global market.\nView Details\nAI Marketplace\nAI Publisher\n\n\n\n\n\n\nAI - Domain Specific Language (DSL)\n\n\n\n\n\n\nA deep self-organizing network of AI agents running on the SingularityNET Platform can outsource work to each other dynamically \u2014 leverageing AI functions, exchanging input/output data, negotiating payments, and enhancing the agent reputation system. This pinoeering AI network in which the intelligence of the whole greatly exceeds the intelligence of the parts.\nView Details\nGitHub\nBlog post\n\n\n\n\n\n\nAGIX Token Tools\n\n\n\n\n\nAGIX Staking & Bridge\nEarn more while holding AGIX tokens by vesting them in staking sessions, which will also support the operations of our blockchain network. Bridge allows users to transfer their tokens across supported blockchains such as Ethereum and Cardano.\nView Details\nAGIX Staking\nBridge\n\n\n\n\n\n\nOpenCog Hyperon\n\n\n\n\n\n\nOpenCog Hyperon is a long-term project to implement a complete, scalable, and open-source general artificial intelligence system based on the principles of OpenCog. It is an open-sourced platform where different AI strategies and methods such as Neuro Symbolic AI, Evolutionary Learning systems, Economic Attention Allocation, Machine Learning, and other AI approaches can collaborate based on a shared knowledge metagraph (Atomspace).\nView Details\nGitHub\nWebsite\n\n\n\n\n\n\n\n\n\n\n\n\n\nOur Cardano and AI Collaborations\nThe Cardano community recently voted to set aside $500,000 USD worth of ADA tokens in funding for AI projects that deepen the partnership between SingularityNET and Cardano. This is an incredible opportunity to bring our communities together in service to our shared vision.\nView Details\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAGIX Token Advantages\nAGIX is the utility token used by SingularityNET throughout the platform for transactions management and decentralized community governance.\u00a0Learn more on how to get the AGIX token.\n\n\n\n\n\n\nUtility Token\nDecentralized AI Marketplace Transactions, to enable global access to AI services, and for future autonomous AI interaction.\n\n\n\n\n\nGovernance & Voting\nAGIX holders participate in increasing levels of governance decision making within the SingularityNET organization.\n\n\n\n\n\nMulti Chain Token\nAGIX token works across multiple chains like Cardano and Ethereum.\n\n\n\n\n\nStaking\nAGIX Community can stake AGIX to provide Platform liquidity, and be compensated for their contribution.\n\n\n\n\n\nEcosystem Airdrops\n5% of tokens from all SingularityNET tokenized spin-off projects (airdropped) to AGIX token holders.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nGet Funded with AGIX through the Deep Funding Program\nWe are building a network of decentralized and beneficial AI services. Get funded through Deep to develop your AI service and publish it on the SingularityNET Platform. Keep ownership of your model, monetize your intellectual property and contribute to building a global ecosystem of decentralized AI!\nVisit Deepfunding\n\n\n\n\n\n\n\n\n\nOur Team\nLead by Dr. Ben Goertzel, our team includes seasoned scientists, researchers, engineers, designers, entrepreneurs and community leaders. To support our mission we are looking for talented individuals that will help us build toward a positive technological singularity.\n\nView Team\nJoin Our Team\n\n\n\n\n\n\n\n\n\nDr. Ben Goertzel\nCEO and Chief Scientist\n\n\n\n\n\n\n\n\n\nJanet Adams\nChief Operating Officer\n\n\n\n\n\n\n\n\n\nMario Casiraghi\nHead of Crypto\n\n\n\n\n\n\n\n\n\nDr. Matt Ikle\nChief Science Officer\n\n\n\n\n\n\n\n\n\nJan Horlings\nChief Deep Funding Officer\n\n\n\n\n\n\n\n\n\nSergey Shalyapin\nChief Technology Officer\n\n\n\n\n\n\n\n\n\nDr. Alexey Potapov\nChief AGI Officer\n\n\n\n\n\n\n\n\n\nDr. Mihaela Ulieru\nChief AI Alchemist\n\n\n\n\n\n\n\n\n\nAlex Blagirev\nStrategic Initiatives Officer\n\n\n\n\n\n\n\n\n\nLoic Claveau\nChief Marketing Officer\n\n\n\n\n\n\n\n\n\n\n\nOfficial Blog\n\n\n\n\n\n\n\n\n\n\nWhy AGI is Closer Than You Think\nMany, if not most, AI experts believe that achieving human-level Artificial General Intelligence (AGI) is still decades away. However, th...\n\n\n\n\n\n\n\n\n\n\n\nThe Distributed Atomspace (DAS): A New-age Knowledge Repository\nOn April 30th, 2024, we hosted a landmark \u2018Technical Tuesdays\u2019 session to celebrate the Alpha release of OpenCog\u00a0Hyperon.\n\n\n\n\n\n\n\n\n\n\n\nThe Future of AI Safety: Are Guaranteed Safe AI Systems the Answer?\nDear Singularitarians,\n\n\n\n\n\nView All\n\n\n\n\n\n\n\n\n\nOur Partners\nLet\u2019s connect to discuss how partnerships can transform your business and ideas\n\n\n\n\n\n\n\n\n\n\nCreating AI platforms and services that let anyone build and deploy AI services at scale, anytime and anywhere.\n\n\n\n\n\n\n\n\n\n\nThe DFINITY Foundation is a not-for-profit organization with a mission to shift cloud computing into a fully\u00a0decentralized\u00a0state. The Foundation leveraged its experience to create the Internet Computer and currently operates as a major contributor to the network.\n\n\n\n\n\n\n\n\n\n\nVechainThor is a leading enterprise-grade L1 public blockchain, spearheading a digital revolution from a sustainable, highly scalable smart contract platform.\n\n\n\n\n\n\n\n\n\n\nEthics-first network that welcomes sustainability-centered developers, validators and open source contributors as well as Muslim innovators in sustainable Finance.\n\n\n\n\n\n\n\n\n\n\nWorld Mobile was founded with a far-reaching goal: to connect everyone, everywhere while advocating for economic freedom and dignity.\n\n\n\n\n\n\n\n\n\n\nPartner with Us \n\n\n\n\nView All Partners\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHome of Benevolent AI & AGI\n\n\n\n\n\n\n\n\n\n\n\n\n\nSubscribe to Newsletter\n\n\nAll Things SingularityNET\nAmbassador Program\nSNET Developer Community\nDeep Funding Program\nHyperCycle\n\n\n\n\n\n\nLeave this field empty if you're human:  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSitemap\nHome\nTechnology\nEcosystem\nDeep Funding\nResearch\nAbout\nContact\nNews & Events\nJobs\n \n\n\n\nTechnology\nAI Platform\nAI \u2013 DSL\nAGIX Token Tools\nOpencog Hyperon\n \n\n\n\nEcosystem\nSingularityDAO\nRejuve.AI\nNunet\nSophiaVerse\nAwakening Health\nJam Galaxy\nHyperCycle\nMindplex\nView All\n \n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\n\n\n\n\n\n\u00a9 2024 SingularityNET.\nCookie Policy and Privacy Policy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWe use cookies to provide you with the best possible experience. 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created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://singularitynet.io/roadmap/:None:0
encoding: FLOAT32
metadata:
{"source": "https://singularitynet.io/roadmap/", "title": "Roadmap - SingularityNET", "description": "The SingularityNET platform is the core infrastructure that allows AI services to communicate and transact.", "language": "en-US", "id": "https://singularitynet.io/roadmap/:None:0", "chroma:document": "Roadmap - SingularityNET\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nTechnology\nEcosystem\n\n\n\n\n\nAbout\n\n\nMenu\n\n\n\n\n\n\n\n\n\nWhat We Do\nTechnology\nEcosystem\nLoyalty Rewards\nDeep Funding\nResearch\nPublications\n\n\n\nWho We Are\nSingularityNET Foundation\nTeam\nRoadmap\nJobs\nContact\nPress Media Kit\n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\nFeatured Products\nAI Marketplace\nAGIX Staking\nAI Publisher\nDeveloper Portal\nBridge\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSingularityNET Roadmap\n\n\n\nClick to enlarge\n\n\n\nSingularityNET Roadmap\nAt SingularityNET, we are working on a number of interrelated projects that all share the same goal of achieving a beneficial technological singularity. We are actively building our core technologies of OpenCog Hyperon, AI-DSL and the SingularityNET AI platform, supported by distributed computing from NuNet, optimized blockchain interactions through Hypercycle, and a strong partnership with Cardano. At the same time we are driving utilization of the SingularityNET platform by seeding it with AI services from a number of spin-off projects in strategically selected vertical markets.\nThese pages provide an overview of many of the central building blocks that have been completed in 2022 or are in progress, as well as a library of our extensive monthly and quarterly updates. More milestones for 2023 will be added in Q4.\n\n\n\n\n\n\n\n\n\n\nCurrent Roadmap\nStatus Updates\nCompleted\n\n\n\n\n\n\n\n\n\n\n\n\n\nPlease check back later for updates\n            \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\nSingularityNET Operations Update\u200a\u2014\u200aQ3...\n02/11/2022\n\n\n\n\n\n\n\nBlog\n\n\n\nOperations Update Q3 2022\n02/11/2022\n\n\n\n\n\n\n\nBlog\n\n\n\nSingularityNET Latest Ecosystem Updat...\n12/07/2022\n\n\n\n\n\n\n \n\nInside SingularityNET | July 2022\n21/06/2022\n\n\n\n\n\n\n \n\nInside SingularityNET | Ecosystem Lea...\n21/06/2022\n\n\n\n\n\n\n \n\nPod-Leader Meeting Update May\n23/05/2022\n\n\n\n\n\n\n\nBlog\n\n\n\nOperations Update \u2014 Q2 2022\n22/09/2022\n\n\n\n\n\n\n\nBlog\n\n\n\nSingularityNET Reports Strong Financi...\n22/09/2021\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMindplex Magazine Launch\nCompleted: Q1 2023\n Mindplex \nMindplex is to launch its magazine. Live on https://magazine.mindplex.ai\n\n\n\nVisit Website\n\n\n\n\n\n\n\n\n\nComplete Release Tononi Phi code on Platform\nCompleted: Q4 2022\n SingularityNET \nRelease of the gauge of progress toward AGI.\n\n\n\n\n\n\n\n\nDeep Funding \u2013 Governance voting proposal\nCompleted: Q4 2022\n Deep Funding \nDeep Funding community governance experiment.\n\n\n\nVisit Website\n\n\n\n\n\n\n\n\n\nDeep Funding \u2013 Round 2 launch\nCompleted: Q4 2022\n Deep Funding \nSecond round of Deep Funding.\n\n\n\nVisit Website\n\n\n\n\n\n\n\n\n\n 1  2  3  4  5  6  7    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHome of Benevolent AI & AGI\n\n\n\n\n\n\n\n\n\n\n\n\n\nSubscribe to Newsletter\n\n\nAll Things SingularityNET\nAmbassador Program\nSNET Developer Community\nDeep Funding Program\nHyperCycle\n\n\n\n\n\n\nLeave this field empty if you're human:  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSitemap\nHome\nTechnology\nEcosystem\nDeep Funding\nResearch\nAbout\nContact\nNews & Events\nJobs\n \n\n\n\nTechnology\nAI Platform\nAI \u2013 DSL\nAGIX Token Tools\nOpencog Hyperon\n \n\n\n\nEcosystem\nSingularityDAO\nRejuve.AI\nNunet\nSophiaVerse\nAwakening Health\nJam Galaxy\nHyperCycle\nMindplex\nView All\n \n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\n\n\n\n\n\n\u00a9 2024 SingularityNET.\nCookie Policy and Privacy Policy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWe use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Privacy PolicyCookie SettingsAccept AllManage consent\n\n\n\n\nClose\n\n\n\n\n\n\nPrivacy Overview \nThis website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.\n\n \n\n\n\n\n\n\t\t\t\t\t\t\t\tNecessary\t\t\t\t\t\t\t\n\n\nNecessary\n\nAlways Enabled\n\n\n\n\n\t\t\t\t\t\t\t\t\tNecessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.\nCookieDurationDescriptioncookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category \"Analytics\".cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category \"Functional\".cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category \"Necessary\".cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category \"Other.cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. 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It does not store any personal data. \n\n\n\n\n\n\n\t\t\t\t\t\t\t\tFunctional\t\t\t\t\t\t\t\n\n\nFunctional\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tFunctional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tPerformance\t\t\t\t\t\t\t\n\n\nPerformance\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tPerformance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tAnalytics\t\t\t\t\t\t\t\n\n\nAnalytics\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tAnalytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tAdvertisement\t\t\t\t\t\t\t\n\n\nAdvertisement\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tAdvertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tOthers\t\t\t\t\t\t\t\n\n\nOthers\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tOther uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n\nSAVE & ACCEPT"}


created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://singularitynet.io/technology/:None:0
encoding: FLOAT32
metadata:
{"source": "https://singularitynet.io/technology/", "title": "Technology - SingularityNET", "description": "SingularityNET Platform is an open and decentralized network of AI services made accessible through the Blockchain.", "language": "en-US", "id": "https://singularitynet.io/technology/:None:0", "chroma:document": "Technology - SingularityNET\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nTechnology\nEcosystem\n\n\n\n\n\nAbout\n\n\nMenu\n\n\n\n\n\n\n\n\n\nWhat We Do\nTechnology\nEcosystem\nLoyalty Rewards\nDeep Funding\nResearch\nPublications\n\n\n\nWho We Are\nSingularityNET Foundation\nTeam\nRoadmap\nJobs\nContact\nPress Media Kit\n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\nFeatured Products\nAI Marketplace\nAGIX Staking\nAI Publisher\nDeveloper Portal\nBridge\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTechnology Platform\n\n\n\nClick to enlarge\n\n\n\nTechnology Platform\nSingularityNET Platform is an open and decentralized network of AI services made accessible through the Blockchain. Developers publish their services to the SingularityNET network, where they can be used by anyone with an internet connection. Developers are able to charge for the use of their services using the native AGIX token.\nServices can provide inference or model training across myriad domains such as image, video, speech, text, time-series, bio-AI, and network analysis. The services can be as simple as wrapping a well-known algorithm, a complete end-to-end solution for an industry problem, or a standalone AI application. Developers can also deploy autonomous AI agents that interoperate with other services on the network.\n\n\n\n\n\n\n\n\n\n\nAI Platform\nAI - DSL\nAGIX Token Tools\nOpencog Hyperon\n\n\n\n\n\n\n\n\nAI Platform\n\n\n\n\nAI Marketplace\n\n\n\n\n\nThe core platform performs essential functionality such as facilitating trustless and automated transactions based on our multiparty escrow, publishing new AI services and organizations on the blockchain, tracking successful API calls and defining pricing strategies. On top of the platform, the AI Marketplace offers a rich user interface that allows users to easily find, assess, and try out services registered on the platform. Most services offer a limited number of free API-calls so users can get a good impression of what the service has to offer. Beyond that users can pay for additional services directly with our native AGIX token or with fiat currency using our Paypal integration.\nEach service hosted on the marketplace is represented by a profile page that offers information about the service including media gallery visuals, pricing, install & run instructions, the reputation rating and free demo options. There is a wide and growing collection of services on our marketplace, ranging from image manipulation to gene sequencing and more!\n\n\n\n\n\n\nFeatures\n\n\n\n\nExplore Diverse AI Services\nThe AI Marketplace hosts a wide variety of AI services published by SNET and other organizations. Easily find what you are looking for.\n\n\n\n\n\nDemo AI Services Free\nTry it out yourself! Majority of services have free demo calls that you can try right away. Input your parameters and data and let AI process your request instantly.\n\n\n\n\n\nMake It Your AI\nEasily install & run AI services. Regardless of your tech capabilities, you can now seamlessly integrate a service to your website, app or other product via the SingularityNET AI Marketplace.\n\n\n\n\n\nMultiple Pricing Options\nChoose different pricing options based on your AI service integration needs.\u00a0 You can easily pay with AGIX or fiat options with our PayPal integration.\n\n\n\n\n\nTrain Your Own AI Models\nComing Soon!\u00a0 AI training will allow you to train and customize models for AI services in the way you specifically need for your integrations.\n\n\n\n\n\nScalable AI Services\nAI Marketplace makes AI accessible for small or large scale needs.\u00a0 AI is for everyone!\n\n\n\nVisit AI Marketplace\nRead Documentation\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAI Platform\n\n\n\n\nAI Publisher\n\n\n\n\n\nAI service providers publish and monetize your AI services onto our open decentralized AI marketplace, extending developers\u2019 reach to obtain more customers globally.\nAI publishers also get free access to advanced AI app capabilities, AI usage analytics, team management & coordination, financial management of their AI services and extensive beta testing tools.\n\n\n\n\n\n\nFeatures\n\n\n\n\nManage AI services in one hub\nEditors and developers can easily\u00a0 test, refine, and deploy AI services to the blockchain and easily distribute to multiple platforms and global regions from one interface.\n\n\n\n\n\nEngage new AI audiences\nTrack usage analytics of your global consumer users to improve your AI. Increase your global exposure.\n\n\n\n\n\nProject teams and roles\nPublisher infrastructure helps AI teams work better together by unifying AI services in one hub, so developers, business managers, and other professionals can build simultaneously.\n\n\n\n\n\nCollect AGIX Tokens\nGain AGIX tokens for all of your AI services and transfer them to your preferred wallet and team members.\n\n\n\nVisit AI Publisher\nRead Documentation\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAI - Domain Specific Language (DSL)\n\n\n\n\n\n\n\n\n\n\nAI-DSL is a transformative component in the next phase of our platform that will enable separate narrow services to form ad-hoc workflow collaborations to fulfill more complex tasks than any single service would be capable of.\nAI-DSL is an AI service that will not require a strict predefined format of inputs and outputs of the services. This will allow it to orchestrate ad-hoc workflows of fitting services to execute a requested task. Due to the growing number of services on the platform the requirements will evolve to include both functional and non-functional variables (like lowest cost, highest speed, best reliability etc.) based on our reputation system for AIs.\n\n\n\n\n\n\nView Github\nRead Documentation\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAGIX Token Tools\n\n\n\n\nAGIX Staking\n\n\n\n\n\nCommunity AGIX holders can contribute to the strength of the project through the Staking portal; by staking AGIX tokens contributors are rewarded with AGIX tokens.\nUsers can stake their AGIX tokens in 30 day sessions. At the end of the 30 day period users can either continue to allow their tokens to continue staking or withdraw them along with any reward earned during the staking period.\nThe staking portal is operational on the Ethereum blockchain, our improved staking portal on the Cardano blockchain will be released in the near future.\n\n\n\n\n\n\nFeatures\n\n\n\n\nEarn Rewards\nEarn more AGIX tokens in reward for putting your tokens to use.\n\n\n\n\n\nSupport the Platform\nTake an active part in platform operations by helping fulfill AI Marketplace transactions.\n\n\n\n\n\nSupport Adoption\nStaked tokens will allow ordinary everyday businesses to use the marketplace through a fiat gateway, greatly improving platform adoption.\n\n\n Visit AGIX Staking\nRead Documentation\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAGIX Token Tools\n\n\n\n\nSingularityNET Bridge\n\n\n\n\n\nSingularityNet Bridge allows users to transfer their tokens across supported blockchains. Currently, it supports AGIX and NTX tokens on Ethereum and Cardano.\nA key aspect of the Phase Two Proposal was to allow 1-to-1 swapping of AGIX tokens across Ethereum and Cardano chains. Since then we have also launched the NTX token which exists on both Ethereum and Cardano chains. The bridge enables seamless conversion of both the AGIX and NTX tokens across these chains and was built in close collaboration with Input Output Global (IOG).\nSingularityNET bridge allows anyone to move AGIX-ETH tokens from their Ethereum wallet into AGIX-ADA tokens in their Cardano wallet or vice versa (or NTX-ETH and NTX-ADA, etc). When converting tokens from Ethereum to Cardano the bridge will burn the Ethereum-based tokens in a smart contract, and an equal amount of new tokens will be minted on Cardano. When moving back from Cardano to Ethereum, the AGIX-ADA tokens will get burned and the same amount of AGIX-ETH tokens will be minted on the Ethereum side, available for the user to claim.\n\n\n\n\n\n Visit SingularityNET Bridge\nView FAQ\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nOpenCog Hyperon\n\n\n\n\n\n\n\n\n\n\nOpenCog Hyperon will implement a complete, scalable, and open-source general artificial intelligence system based on the principles of OpenCog. It is an open-sourced platform where different AI strategies and methods such as Neuro Symbolic AI, Evolutionary Learning systems, Economic Attention Allocation, Machine Learning, and other AI approaches can collaborate based on a shared knowledge metagraph (Atomspace).\nHyperon inherits the concepts of OpenCog but is fully refactored and considerably redesigned, with a decentralized architecture ready to take full advantage of the evolving blockchain infrastructure. The end result is a design that is way faster, more scalable, more flexible, and much easier to learn and use. We believe that this upgrade to OpenCog Hyperon will have similar effects on our AI approach as the increased CPU speed and availability of large datasets have had on Machine Learning approaches in past decades.\n\n\n\n\n\n\nVisit Github\nOpenCog.org\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHome of Benevolent AI & AGI\n\n\n\n\n\n\n\n\n\n\n\n\n\nSubscribe to Newsletter\n\n\nAll Things SingularityNET\nAmbassador Program\nSNET Developer Community\nDeep Funding Program\nHyperCycle\n\n\n\n\n\n\nLeave this field empty if you're human:  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSitemap\nHome\nTechnology\nEcosystem\nDeep Funding\nResearch\nAbout\nContact\nNews & Events\nJobs\n \n\n\n\nTechnology\nAI Platform\nAI \u2013 DSL\nAGIX Token Tools\nOpencog Hyperon\n \n\n\n\nEcosystem\nSingularityDAO\nRejuve.AI\nNunet\nSophiaVerse\nAwakening Health\nJam Galaxy\nHyperCycle\nMindplex\nView All\n \n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\n\n\n\n\n\n\u00a9 2024 SingularityNET.\nCookie Policy and Privacy Policy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWe use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Privacy PolicyCookie SettingsAccept AllManage consent\n\n\n\n\nClose\n\n\n\n\n\n\nPrivacy Overview \nThis website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.\n\n \n\n\n\n\n\n\t\t\t\t\t\t\t\tNecessary\t\t\t\t\t\t\t\n\n\nNecessary\n\nAlways Enabled\n\n\n\n\n\t\t\t\t\t\t\t\t\tNecessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.\nCookieDurationDescriptioncookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category \"Analytics\".cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category \"Functional\".cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category \"Necessary\".cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category \"Other.cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. 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These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tAdvertisement\t\t\t\t\t\t\t\n\n\nAdvertisement\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tAdvertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tOthers\t\t\t\t\t\t\t\n\n\nOthers\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tOther uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n\nSAVE & ACCEPT"}


created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://singularitynet.io/aboutus/#team:None:0
encoding: FLOAT32
metadata:
{"source": "https://singularitynet.io/aboutus/#team", "title": "About - SingularityNET", "description": "SingularityNET is a full-stack AI solution powered by a decentralized protocol and the first and only decentralized platform allowing AIs to cooperate and coordinate at scale and its Team.", "language": "en-US", "id": "https://singularitynet.io/aboutus/#team:None:0", "chroma:document": "About - SingularityNET\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nTechnology\nEcosystem\n\n\n\n\n\nAbout\n\n\nMenu\n\n\n\n\n\n\n\n\n\nWhat We Do\nTechnology\nEcosystem\nLoyalty Rewards\nDeep Funding\nResearch\nPublications\n\n\n\nWho We Are\nSingularityNET Foundation\nTeam\nRoadmap\nJobs\nContact\nPress Media Kit\n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\nFeatured Products\nAI Marketplace\nAGIX Staking\nAI Publisher\nDeveloper Portal\nBridge\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAbout SingularityNET\n\n\n\n\n\n\n\n\n\n\nAbout SingularityNET\nSingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence. An \u2018AGI\u2019 that is not dependent on any central entity, that is open for anyone and not restricted to the narrow goals of a single corporation or even a single country. \nSingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment.\n\n\n\n\n\n\n\n\n\n\n\n\nOur Team\n\n\n\n\n\n\n\n\n\n\nFounding Team\n\n\n\n\n\n\n\n\n\nDr. Ben Goertzel\nCEO and Chief Scientist\n\n\n\n\nLinkedin\n\nVisit Website\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr. David Hanson\nCo-founder\n\n\n\n\nLinkedin\n\nVisit Website\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nExecutive Team\n\n\n\n\n\n\n\n\n\nDr. Ben Goertzel\nCEO and Chief Scientist\n\n\n\n\nLinkedin\n\nVisit Website\n\n\n\n\n\n\n\n\n\n\n\n\n\nJanet Adams\nChief Operating Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nMario Casiraghi\nHead of Crypto\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr. Matt Ikle\nChief Science Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nJan Horlings\nChief Deep Funding Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nSergey Shalyapin\nChief Technology Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr. Alexey Potapov\nChief AGI Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr. Mihaela Ulieru\nChief AI Alchemist\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nAlex Blagirev\nStrategic Initiatives Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nLoic Claveau\nChief Marketing Officer\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nFoundation Board\n\n\n\n\n\n\n\n\n\nDr. Ben Goertzel\nCEO and Chief Scientist\n\n\n\n\nLinkedin\n\nVisit Website\n\n\n\n\n\n\n\n\n\n\n\n\n\nCassio Pennachin\nMember\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nDavid Lake\nMember\n\n\n\n\n\n\n\n\n\n\n\n\nUgo Di Leva\nMember\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSupervisory Council\n\n\n\n\n\n\n\n\n\nDavid Orban\nManaging Advisor\n\n\n\n\nLinkedin\n\n\n\n\n\n\n\n\n\n\n\n\n\nPenny Wong\n\n\n\n\nLinkedin\n\nVisit Website\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nOur Partners\n\n\n\n\n\n\n\n\n\nCreating AI platforms and services that let anyone build and deploy AI services at scale, anytime and anywhere.\n\n\n\n\n\n\n\n\n\n\nThe DFINITY Foundation is a not-for-profit organization with a mission to shift cloud computing into a fully\u00a0decentralized\u00a0state. The Foundation leveraged its experience to create the Internet Computer and currently operates as a major contributor to the network.\n\n\n\n\n\n\n\n\n\n\nVechainThor is a leading enterprise-grade L1 public blockchain, spearheading a digital revolution from a sustainable, highly scalable smart contract platform.\n\n\n\n\n\n\n\n\n\n\nEthics-first network that welcomes sustainability-centered developers, validators and open source contributors as well as Muslim innovators in sustainable Finance.\n\n\n\n\n\n\n\n\n\n\nWorld Mobile was founded with a far-reaching goal: to connect everyone, everywhere while advocating for economic freedom and dignity.\n\n\n\n\n\n\n\n\n\n\nEARTHwise\u2019s mission is to catalyze the necessary inner and outer transformations for human thriving in harmony with our planet, for generations to come.\n\n\n\n\n\n\n\n\n\n\nPureCipher is a leading provider of solutions that enable Trusted AI for AI safety.\n\n\n\n\n\n\n\n\n\n\nCardano is a blockchain platform for changemakers, innovators.\n\n\n\n\n\n\n\n\n\n\nA Robotics company known for its human-like robots with A.I\n\n\n\n\n\n\n\n\n\n\nOcean is a decentralized data exchange protocol that unlocks data for AI.\n\n\n\n\n\n\n\n\n\n\nAn A.I powered crowdsourcing & idea management platform.\n\n\n\n\n\n\n\n\n\n\nA communication layer protocol to build applications and platforms.\n\n\n\n\n\n\n\n\n\n\nAI-first blockchain that aims at an open and collaborative AI data network.\n\n\n\n\n\n\n\n\n\n\nCisco help companies transform how people connect, communicate & collaborate.\n\n\n\n\n\n\n\n\n\n\nA Haskell, Rust, Blockchain and AI consultancy.\n\n\n\n\n\n\n\n\n\n\nGameFi User Generated Content Game\n\n\n\n\n\n\n\n\n\n\nA leading company developing artificial intelligence-focused hardware and microprocessors.\n\n\n\n\n\n\n\n\n\n\nBuilding an Enlightenment Simulator\n\n\n\n\n\n\n\n\n\n\nSingularityNET and SingularityDAO secured a $25 million commitment with Global investment group LDA Capital Limited, to accelerate the growth of decentralized Defi AI.\n\n\n\n\n\n\n\n\n\n\nCogito offers a framework for creating tracercoins, which are new classes of digital assets including a non-fiat pegged stablecoin.\n\n\n\n\n\n\n\n\n\n\nSingularityNET and Rejuve.AI have launched a partnership with Genescient to apply advanced ML to transfer insights gained from the Methuselah fly genome to the human genome.\n\n\n\n\n\n\n\n\n\n\nTransforms the risk associated with SME company import/export Commodity transactions into investment Grade products for Banks and Investors.\n\n\n\n\n\n\n\n\n\n\nBuilding tools for musicians that will allow playing, performing and jamming in virtual reality/metaverse with a rewarding system.\n\n\n\n\n\n\n\n\n\n\nHedge Technologies is an integrated RegTech solution provider, and are working on FinCrime, AML KYC & Regulatory requirements.\n\n\n\n\n\n\n\n\n\n\nMozn harnesses the capability of AI and Machine Learning in AML and network analysis, and bringing global enterprise tools to fighting financial crimes.\n\n\n\n\n\n\n\n\n\n\nSmart Places brings the power of decentralized Artificial Intelligence (AI) to the next generation of social media.\n\n\n\n\n\n\n\n\n\n\nThe leading global provider of blockchain-based solutions aimed at the HR and recruitment sector.\n\n\n\n\n\n\n\n\n\n\nSGInnovate invest, and help entrepreneurial scientists find their path to success.\n\n\n\n\n\n\n\n\n\n\nPartner with Us \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHome of Benevolent AI & AGI\n\n\n\n\n\n\n\n\n\n\n\n\n\nSubscribe to Newsletter\n\n\nAll Things SingularityNET\nAmbassador Program\nSNET Developer Community\nDeep Funding Program\nHyperCycle\n\n\n\n\n\n\nLeave this field empty if you're human:  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSitemap\nHome\nTechnology\nEcosystem\nDeep Funding\nResearch\nAbout\nContact\nNews & Events\nJobs\n \n\n\n\nTechnology\nAI Platform\nAI \u2013 DSL\nAGIX Token Tools\nOpencog Hyperon\n \n\n\n\nEcosystem\nSingularityDAO\nRejuve.AI\nNunet\nSophiaVerse\nAwakening Health\nJam Galaxy\nHyperCycle\nMindplex\nView All\n \n\n\n\nCommunity\nOfficial Blog\nTelegram\nDiscord\nNews & Events\nAmbassador Program\nGithub\nForum\nDecentralization Events\n \n\n\n\n\n\n\n\n\u00a9 2024 SingularityNET.\nCookie Policy and Privacy Policy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWe use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Privacy PolicyCookie SettingsAccept AllManage consent\n\n\n\n\nClose\n\n\n\n\n\n\nPrivacy Overview \nThis website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.\n\n \n\n\n\n\n\n\t\t\t\t\t\t\t\tNecessary\t\t\t\t\t\t\t\n\n\nNecessary\n\nAlways Enabled\n\n\n\n\n\t\t\t\t\t\t\t\t\tNecessary cookies are absolutely essential for the website to function properly. 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These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tAdvertisement\t\t\t\t\t\t\t\n\n\nAdvertisement\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tAdvertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\t\t\t\t\t\t\t\tOthers\t\t\t\t\t\t\t\n\n\nOthers\n\n\n\n\n\n\t\t\t\t\t\t\t\t\tOther uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.\n\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n\nSAVE & ACCEPT"}


created_at: 2024-06-29 09:55:39
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://github.com/singnet:None:0
encoding: FLOAT32
metadata:
{"source": "https://github.com/singnet", "title": "SingularityNET \u00b7 GitHub", "description": "SingularityNET has 166 repositories available. Follow their code on GitHub.", "language": "en", "id": "https://github.com/singnet:None:0", "chroma:document": "SingularityNET \u00b7 GitHub\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSkip to content\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNavigation Menu\n\nToggle navigation\n\n\n\n\n\n\n\n\n\n\n          Sign in\n        \n\n\n \n\n\n\n\n\n\n\n\nsingnet\n\n\n\n\n\n\n\n        Product\n        \n\n\n\n\n\n\n\n\n\n\n\n\nActions\n        Automate any workflow\n      \n\n\n\n\n\n\n\nPackages\n        Host and manage packages\n      \n\n\n\n\n\n\n\nSecurity\n        Find and fix vulnerabilities\n      \n\n\n\n\n\n\n\nCodespaces\n        Instant dev environments\n      \n\n\n\n\n\n\n\nGitHub Copilot\n        Write better code with AI\n      \n\n\n\n\n\n\n\nCode review\n        Manage code changes\n      \n\n\n\n\n\n\n\nIssues\n        Plan and track work\n      \n\n\n\n\n\n\n\nDiscussions\n        Collaborate outside of code\n      \n\n\n\n\nExplore\n\n\n\n      All features\n\n    \n\n\n\n      Documentation\n\n    \n\n\n\n\n\n      GitHub Skills\n\n    \n\n\n\n\n\n      Blog\n\n    \n\n\n\n\n\n\n\n\n\n        Solutions\n        \n\n\n\n\n\nBy size\n\n\n\n      Enterprise\n\n    \n\n\n\n      Teams\n\n    \n\n\n\n      Startups\n\n    \n\n\n\n\nBy industry\n\n\n\n      Healthcare\n\n    \n\n\n\n      Financial services\n\n    \n\n\n\n      Manufacturing\n\n    \n\n\n\n\nBy use case\n\n\n\n      CI/CD & Automation\n\n    \n\n\n\n      DevOps\n\n    \n\n\n\n      DevSecOps\n\n    \n\n\n\n\n\n\n\n        Resources\n        \n\n\n\n\n\nResources\n\n\n\n      Learning Pathways\n\n    \n\n\n\n\n\n      White papers, Ebooks, Webinars\n\n    \n\n\n\n\n\n      Customer Stories\n\n    \n\n\n\n      Partners\n\n    \n\n\n\n\n\n\n\n\n\n        Open Source\n        \n\n\n\n\n\n\n\n\n\nGitHub Sponsors\n        Fund open source developers\n      \n\n\n\n\n\n\n\n\nThe ReadME Project\n        GitHub community articles\n      \n\n\n\n\nRepositories\n\n\n\n      Topics\n\n    \n\n\n\n      Trending\n\n    \n\n\n\n      Collections\n\n    \n\n\n\n\n\n\n\n        Enterprise\n        \n\n\n\n\n\n\n\n\n\n\n\n\nEnterprise platform\n        AI-powered developer platform\n      \n\n\n\n\nAvailable add-ons\n\n\n\n\n\n\n\nAdvanced Security\n        Enterprise-grade security features\n      \n\n\n\n\n\n\n\nGitHub Copilot\n        Enterprise-grade AI features\n      \n\n\n\n\n\n\n\nPremium Support\n        Enterprise-grade 24/7 support\n      \n\n\n\n\n\n\nPricing\n\n\n\n\n\n\n\n\n\n\n\n\nSearch or jump to...\n\n\n\n\n\n\n\nSearch code, repositories, users, issues, pull requests...\n\n \n\n\n\n\n        Search\n      \n\n\n\n\n\n\n\n\n\n\n\n\n\nClear\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n              Search syntax tips\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n        Provide feedback\n      \n\n\n\n\n\n\n\n\n\n \nWe read every piece of feedback, and take your input very seriously.\n\n\nInclude my email address so I can be contacted\n\n\n     Cancel\n\n    Submit feedback\n\n\n\n\n\n\n\n\n\n\n        Saved searches\n      \nUse saved searches to filter your results more quickly\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nName\n\n\n\n\n\n\nQuery\n\n\n\n            To see all available qualifiers, see our documentation.\n          \n \n\n\n\n\n\n     Cancel\n\n    Create saved search\n\n\n\n\n\n\n\n\n              Sign in\n            \n\n\n              Sign up\n            \n\n\n\n\n\n\n\n\n\nYou signed in with another tab or window. Reload to refresh your session.\nYou signed out in another tab or window. Reload to refresh your session.\nYou switched accounts on another tab or window. Reload to refresh your session.\n \n\n\nDismiss alert\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n          SingularityNET\n        \n\n\n\n\n\n\n\n\n283\n                    followers\n \n\n\n\n\nhttps://singularitynet.io/\n\n\n\n\n\nsupport@singularitynet.io\n\n\n\n\n        Verified\n\n\n\n\n            We've verified that the organization singnet controls the domain:\n          \n\n\n\n\n\nsingularitynet.io\n\n\n\nLearn more about verified organizations\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    Overview\n  \n\n\n\n\n\n\n    Repositories\n      \n\n\n\n\n\n\n\n    Projects\n      \n\n\n\n\n\n\n\n    Packages\n  \n\n\n\n\n\n\n    People\n      \n\n\n\n\n\n \n\n\n\nMore\n\n\n\n\n\nOverview\n\n\nRepositories\n\n\nProjects\n\n\nPackages\n\n\nPeople\n\n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n        Pinned\n\n    \n\n\n Loading\n\n\n\n\n\n\n\n\n\n\n\n\ndev-portal\ndev-portal Public\n\n\n\n        The SingularityNET Developer Portal where you can find all our documentation, tutorials, and developer resources!\n      \n\n\n\nHTML\n\n\n\n\n\n            109\n          \n\n\n\n\n            52\n          \n\n\n\n\n\n\n\n\n\n\n\n\n\nsnet-cli\nsnet-cli Public\n\n\n\n        SingularityNET CLI for interacting with SNET blockchain contracts and deployed services.\n      \n\n\n\nPython\n\n\n\n\n\n            73\n          \n\n\n\n\n            52\n          \n\n\n\n\n\n\n\n\n\n\n\n\n\nsnet-daemon\nsnet-daemon Public\n\n\n\n        Service Daemon exposes an AI application as an API that is accessible through the SingularityNET Network. It handles all interaction with the blockchain for authorization and payment using AGI toke\u2026\n      \n\n\n\nGo\n\n\n\n\n\n            42\n          \n\n\n\n\n            48\n          \n\n\n\n\n\n\n\n\n\n\n\n\n\nplatform-contracts\nplatform-contracts Public\n\n\n\n        Smart contracts for running Agents and Services on the SingularityNET open network.\n      \n\n\n\nJavaScript\n\n\n\n\n\n            85\n          \n\n\n\n\n            43\n          \n\n\n\n\n\n\n\n\n\n\n\n\n\nexample-service\nexample-service Public\n\n\n\n        Simple arithmetic service compatible with SingularityNET platform. Can be used as a starting point to build services on the platform\n      \n\n\n\nPython\n\n\n\n\n\n            18\n          \n\n\n\n\n            26\n          \n\n\n\n\n\n\n\n\n\n\n\n\n\nsnet-dapp\nsnet-dapp Public\n\n\n\n        SingularityNET Beta DApp lets you interact with Services listed on the Ethereum Mainnet\n      \n\n\n\nJavaScript\n\n\n\n\n\n            19\n          \n\n\n\n\n            41\n          \n\n\n\n\n\n\n\n\n\n\n\n\n        Repositories\n      \n\n\n\n\n\n\n\n\n\n\n\n\n Loading\n\n\n\n Type\n\n \n\n\nSelect type\n\n\n\n\n\n\n\n\n\n\nAll\n\n\n\n\n\n\nPublic\n\n\n\n\n\n\nSources\n\n\n\n\n\n\nForks\n\n\n\n\n\n\nArchived\n\n\n\n\n\n\nMirrors\n\n\n\n\n\n\nTemplates\n\n\n\n\n\n\n Language\n\n \n\n\nSelect language\n\n\n\n\n\n\n\n\n\n\nAll\n\n\n\n\n\n\nC\n\n\n\n\n\n\nC#\n\n\n\n\n\n\nC++\n\n\n\n\n\n\nCSS\n\n\n\n\n\n\nDockerfile\n\n\n\n\n\n\nGo\n\n\n\n\n\n\nHaskell\n\n\n\n\n\n\nHCL\n\n\n\n\n\n\nHTML\n\n\n\n\n\n\nIdris\n\n\n\n\n\n\nJava\n\n\n\n\n\n\nJavaScript\n\n\n\n\n\n\nJupyter Notebook\n\n\n\n\n\n\nLua\n\n\n\n\n\n\nNix\n\n\n\n\n\n\nPuppet\n\n\n\n\n\n\nPython\n\n\n\n\n\n\nR\n\n\n\n\n\n\nRoff\n\n\n\n\n\n\nScheme\n\n\n\n\n\n\nSCSS\n\n\n\n\n\n\nShell\n\n\n\n\n\n\nSolidity\n\n\n\n\n\n\nStarlark\n\n\n\n\n\n\nSwift\n\n\n\n\n\n\nTypeScript\n\n\n\n\n\n\n Sort\n\n \n\n\nSelect order\n\n\n\n\n\n\n\n\n\n\nLast updated\n\n\n\n\n\n\nName\n\n\n\n\n\n\nStars\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nShowing 10 of 166 repositories\n\n\n \n\n\n\n          snet-converter-services\n\n\n          Public\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsingnet/snet-converter-services\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n0\n\n\n\n\nMIT\n\n\n\n\n\n          9\n\n\n\n\n\n        0\n\n\n\n\n\n        0\n\n\n          Updated Jun 29, 2024\n\n\n \n\n\n\n          snet-dapp\n\n\n          Public\n\n\n            SingularityNET Beta DApp lets you interact with Services listed on the Ethereum Mainnet\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsingnet/snet-dapp\u2019s past year of commit activity\n\n\n\n\nJavaScript\n\n\n\n\n\n          19\n\n\n\n\nMIT\n\n\n\n\n\n          41\n\n\n\n\n\n        17\n\n\n          (1 issue needs help)\n\n\n\n\n\n        14\n\n\n          Updated Jun 28, 2024\n\n\n \n\n\n\n          snet-upgradeable-owners-minting-policy\n\n\n          Public\n\n\n\n\n\nsingnet/snet-upgradeable-owners-minting-policy\u2019s past year of commit activity\n\n\n\n\nTypeScript\n\n\n\n\n0\n\n\n\n\n\n          1\n\n\n\n\n\n        2\n\n\n\n\n\n        1\n\n\n          Updated Jun 28, 2024\n\n\n \n\n\n\n          converter-token-manager-v3\n\n\n          Public\n\n\n\n\n\nsingnet/converter-token-manager-v3\u2019s past year of commit activity\n\n\n\n\nJavaScript\n\n\n\n\n0\n\n\n\n\nMIT\n\n\n\n\n\n          1\n\n\n\n\n\n        0\n\n\n\n\n\n        0\n\n\n          Updated Jun 27, 2024\n\n\n \n\n\n\n          das-toolbox\n\n\n          Public\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsingnet/das-toolbox\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n0\n\n\n\n\n0\n\n\n\n\n\n        1\n\n\n\n\n\n        0\n\n\n          Updated Jun 27, 2024\n\n\n \n\n\n\n          das\n\n\n          Public\n\n\n\n\n\nsingnet/das\u2019s past year of commit activity\n\n\n\n\nJupyter Notebook\n\n\n\n\n\n          1\n\n\n\n\n0\n\n\n\n\n\n        12\n\n\n\n\n\n        1\n\n\n          Updated Jun 27, 2024\n\n\n \n\n\n\n          metafusion\n\n\n          Public\n\n\n\n\n\nsingnet/metafusion\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n0\n\n\n\n\n\n          4\n\n\n\n\n\n        9\n\n\n\n\n\n        4\n\n\n          Updated Jun 27, 2024\n\n\n \n\n\n\n          snet-sdk-python\n\n\n          Public\n\n\n            Make gRPC calls to SingularityNET services programmatically using Python\n\n\n\n\nsingnet/snet-sdk-python\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n0\n\n\n\n\nMIT\n\n\n\n\n\n          1\n\n\n\n\n\n        17\n\n\n\n\n\n        2\n\n\n          Updated Jun 26, 2024\n\n\n \n\n\n\n          das-query-engine\n\n\n          Public\n\n\n            Query engine and pattern matcher\n\n\n\n\nsingnet/das-query-engine\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n\n          2\n\n\n\n\nMIT\n\n\n\n\n\n          2\n\n\n\n\n\n        22\n\n\n\n\n\n        0\n\n\n          Updated Jun 25, 2024\n\n\n \n\n\n\n          snet-marketplace-service\n\n\n          Public\n\n\n            Serves as an index for use by the DApp. Provides a curated set of Services and its details\n\n\n\n\nsingnet/snet-marketplace-service\u2019s past year of commit activity\n\n\n\n\nPython\n\n\n\n\n\n          15\n\n\n\n\nMIT\n\n\n\n\n\n          22\n\n\n\n\n\n        98\n\n\n\n\n\n        10\n\n\n          Updated Jun 21, 2024\n\n\n  View all repositories\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\nPeople\n\n\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n\n\n\n\n\nTop languages\nLoading\u2026\n\n\n\n\n\n\nMost used topics\nLoading\u2026\n\n\n\n\n\n\n\n\n\n\nFooter\n\n\n\n\n\n\n\n\n        \u00a9 2024 GitHub,\u00a0Inc.\n      \n\n\nFooter navigation\n\n\nTerms\n\n\nPrivacy\n\n\nSecurity\n\n\nStatus\n\n\nDocs\n\n\nContact\n\n\n\n\n      Manage cookies\n    \n\n\n\n\n\n      Do not share my personal information\n    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    You can\u2019t perform that action at this time."}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://docs.nunet.io/infohub:None:0
encoding: FLOAT32
metadata:
{"source": "https://docs.nunet.io/infohub", "title": "Project History | NuNet Info Hub", "language": "en", "id": "https://docs.nunet.io/infohub:None:0", "chroma:document": "Project History | NuNet Info Hub Website Whitepaper Socials Community Dev PortalSearchCtrl\u2006+\u2006K\ud83d\udcd6State Of NuNetProject HistoryNuNet PlatformDevelopment OutlookPlatform Feature List and Roadmap PrioritizationOpen API of APIsPlatform integrations / development milestonesUse-case integrations / development milestonesTesters Network and community developers programDevelopment Flow OrganizationFeatures ListPlatform Features\ud83c\udf10Web3 Use Case IntegrationsWeb3 RoadmapPlatform IntegrationsSNET Platform integrationNuNet Platform Public AlphaUse Case IntegrationsDecentralized SPO ComputingDecentralized GPU ML CloudPotential Use Cases\ud83c\udfedIndustry 4.0 Use Case IntegrationsIndustry 4.0 RoadmapPotential Use Cases\ud83d\udccaTokenomicsNTX Utility Token OverviewThe launch of the NTX tokenExternal TokenomicsNetwork TokenomicsSummary of NTX token launch scheduleToken DistributionMulti-Chain Token\ud83e\udd1dPartnershipsEco-system PartnersPlatform PartnersUse-Case Integration PartnersCommunity Developer ProgramPowered by GitBookProject HistoryLearn more about NuNet by reading our Whitepaper and blog site.NuNet is a spinoff of SingularityNET Global AI Marketplace, operating since 2017. NuNet has been incubated via SingularityNET X-Lab Accelerator program since early 2018. The technology development and early use cases of the NuNet platform will be geared towards (but not limited to) supporting the computational infrastructure of decentralized AI agents of SingularityNET. The NuNet private alpha launched in September of 2021. Community members were able to begin onboarding their devices to the network using the open-source script developed during the incubation period. A fake news warning application was used to successfully test running a machine learning algorithm on devices connected to the network. On November 26th, 2021, the NuNet utility token, NTX, was launched on the Ethereum blockchain. On April 18th, 2022, the NTX token was bridged to the Cardano blockchain Chain. This was done so that users will be able to choose the blockchain on which to buy or sell computing power, using the token.\n\nNuNet stopped supporting the BNB chain from January 31st, 2023.NextNuNet PlatformLast updated 10 months agoOn this page"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://docs.nunet.io/nunet-whitepaper:None:0
encoding: FLOAT32
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{"source": "https://docs.nunet.io/nunet-whitepaper", "title": "NuNet Whitepaper | NuNet Whitepaper", "language": "en", "id": "https://docs.nunet.io/nunet-whitepaper:None:0", "chroma:document": "NuNet Whitepaper | NuNet WhitepaperSearchCtrl\u2006+\u2006KNuNet WhitepaperSummary\ud83c\udf0eGlobal Computing Infrastructure Current State: data and computing silosA flexible, decentralized computational universe\ud83c\udf10System architecture OverviewComputational and Functional PrinciplesContext AwarenessMobilityValue ExchangeSupported functionalitiesMobile Computational ProcessesFlexible Workflow DesignData and Value Production & ExchangeLogical ScalabilityVerification and ValidationAn Ecosystem of Adaptive Decentralized ComputationsLearning and Meta-LearningHuman-mediated Cognitive Development\ud83d\udcbcBusiness and Operational ModelMulti-sided platformCompute providersData ProvidersAI Service ProvidersConsumersNetwork OperatorsTechnical PartnersPlatform DevelopersNuNet OrganizationPartnerships and envisioned interoperationsSingularityNETDecentralized AI Alliance (DAIA)SingularityDAOCODOthers\ud83d\udc68\u200d\ud83d\udcbbGovernance & DecentralizationGovernanceGovernance RoadmapFuture NuNet TokenDynamic Pricing and Demand/Supply DynamicsEcosystem Building and Token Distribution\ud83d\udcbbTechnical roadmap and Use CasesInitial technical roadmapPotential Use CasesLarge Partnerships\ud83d\udd17Whitepaper download and referencesImportant NoticePowered by GitBookNuNet WhitepaperView and download the original Whitepaper. For more up-to-date developments you can view our Info Hub or Medium pageAbstract \nNuNet is a computing framework that provides globally distributed and optimized computing power and storage for decentralized networks, by connecting data owners and computing resources with computational processes in demand of these resources. NuNet provides a layer of intelligent interoperability between computational processes and physical computing infrastructures in an ecosystem which intelligently harnesses latent computing resources of the community into the global network of computations. The NuNet infrastructure enables optimal positioning of AI processes, interfaces and data within the global network and establishes machine-to-machine payment and data streaming channels \u2013 thus minimizing costs of global computing and enabling novel business processes for the Data Economy and Internet of Things.NextSummaryLast updated 1 year agoOn this pageWas this helpful?"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://medium.com/nunet:None:0
encoding: FLOAT32
metadata:
{"source": "https://medium.com/nunet", "title": "NuNet - Medium", "description": "NuNet provides globally distributed computing power and storage for decentralized networks and global intelligent computing.", "language": "No language found.", "id": "https://medium.com/nunet:None:0", "chroma:document": "NuNet - MediumHomepageOpen in appSign inGet startedA Global Economy of Decentralized ComputationsNuNet is a computing framework that provides globally distributed computing power and storage for decentralized networks, by connecting the owners of data and computing resources with computational processes in demand of these resources.TokenProject OutlookPartnershipsDevelopment UpdateQuarterly UpdatesArchive NuNet LinksFollowCommunity Town Hall #2 Recap: Contributors Program and DMS Refactor ProgressCommunity Town Hall #2 Recap: Contributors Program and DMS Refactor\u00a0ProgressGreetings NuNetopians,NuNet TeamJun 20What is Decentralized Governance?What is Decentralized Governance?NuNet De-Gov Blueprint is getting\u00a0ready!Marta LenartowiczJun 4Understanding the Device Management System (DMS) RefactoringUnderstanding the Device Management System (DMS) RefactoringIntroductionJennifer BourkeMay 30NuNet Joins CNCF to Drive Innovation in Decentralized Cloud-Native TechnologiesNuNet Joins CNCF to Drive Innovation in Decentralized Cloud-Native TechnologiesNuNet, a pioneering platform in decentralized and scalable computing, is excited to announce its membership with the Cloud Native Computing\u2026Jennifer BourkeMay 22NuNet Joins Linux FoundationNuNet Joins Linux FoundationNuNet, a pioneering platform in decentralized and scalable computing, is thrilled to announce its membership with the Linux Foundation as\u00a0a\u2026Jennifer BourkeMay 21NuNet Joins LF Edge to Drive Innovation in Decentralized ComputingNuNet Joins LF Edge to Drive Innovation in Decentralized ComputingNuNet, a pioneering platform in decentralized and scalable computing, is excited to announce its membership with Linux Foundation Edge\u00a0(LF\u2026Jennifer BourkeMay 20What SLMs Are & How They Repurpose NuNet\u2019s Fund8 ProposalWhat SLMs Are & How They Repurpose NuNet\u2019s Fund8\u00a0ProposalAs we step into a more resource-conscious future, Small Language Models (SLMs) emerge not only as a solution but as a strategic asset\u00a0in\u2026NuNet TeamMay 15Unveiling NuNet\u2019s Job Orchestration and Scheduling MechanicsUnveiling NuNet\u2019s Job Orchestration and Scheduling MechanicsHow Job Posting and Execution Works in Our Advanced Computing PlatformJennifer BourkeMay 8NuNet Technical Roadmap Update Q1NuNet Technical Roadmap Update\u00a0Q1Greetings NuNetopians,Jennifer BourkeApr 15NuNet Quarter One 2024 RecapNuNet Quarter One 2024\u00a0RecapGreetings NuNetopians,NuNet TeamApr 3NuNet Public Alpha Testnet DMS and SPD UpdatesNuNet Public Alpha Testnet DMS and SPD\u00a0UpdatesThe NuNet development team has been working hard on major changes to the network. We appreciate our testing community for their patience\u00a0as\u2026Jennifer BourkeApr 2Decentralized SPO Usecase UpdateDecentralized SPO Usecase\u00a0UpdateGreetings, NuNetopians,Jennifer BourkeMar 14Navigating NuNet\u2019s Next Phase: Introducing Our Restructured TeamsNavigating NuNet\u2019s Next Phase: Introducing Our Restructured TeamsDear NuNetopians,Patrycja Kilja\u0144skaFeb 22NuNet and the Rise of DePIN: Pioneering the Decentralized Computing RevolutionNuNet and the Rise of DePIN: Pioneering the Decentralized Computing RevolutionGreetings NuNetopians,NuNet TeamFeb 16NuNet Technical Roadmap Update 2024NuNet Technical Roadmap Update\u00a02024Dear Community,Jennifer BourkeFeb 15NuNet Technical Updates January 2024NuNet Technical Updates January\u00a02024Greetings NuNetopians,Jennifer BourkeFeb 2NuNet Quarter Four 2023 RecapNuNet Quarter Four 2023\u00a0RecapGreetings NuNetopians,Jennifer BourkeJan 24Research Team: Upgrading the DMS to enable Distributed ComputingResearch Team: Upgrading the DMS to enable Distributed ComputingGreetings NuNetopians,Jennifer BourkeDec 18, 2023NuNet Initiates Collaboration with Obsidian SystemsNuNet Initiates Collaboration with Obsidian\u00a0SystemsGreetings NuNetopians,Jennifer BourkeDec 13, 2023NuNet adds support for Scientific Computing in DeSci with PyOpenCLNuNet adds support for Scientific Computing in DeSci with\u00a0PyOpenCLGreetings NuNetopians,Jennifer BourkeNov 30, 2023About NuNetLatest StoriesArchiveAbout MediumTermsPrivacyTeams"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://hyperpg.com/about-us/:None:0
encoding: FLOAT32
metadata:
{"source": "https://hyperpg.com/about-us/", "title": "About Us - HyperPG", "description": "HyperPG is a partnership between Hypercycle, Penguin and many other AI tech-focused entities specializing in setting up High Performance Computing (HPC) centres.", "language": "en-US", "id": "https://hyperpg.com/about-us/:None:0", "chroma:document": "About Us - HyperPG\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\nSkip to main content\n\n\n\n\n\ntwitter youtube telegram  HYPERCYCLE.AI NODEMARKET.IO HYPERAIBOX.COM\n\n\n\n\n\n\n\n\n \n\n\n\n0 \n\n \nMenu    \n\n\n\n\nHome\nAbout Us\nGet Started\nFAQ\nJoin the Pools\n\n\n\n\n\n\n 0  \n\n\n\n was successfully added to your cart.\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nClose Search\n \n\n\n\n\n \n\n \n\n\n\n\nAbout Us \n\n\n\n\n\n\n\n\nHome \u00bb About Us\n\n\n\n\n  \n\n\n\n\n\nAbout Us\n\n\n\n\n\nPartner with Power  \n\n\n\nHyperPG, a partnership between Hypercycle, Penguin Group and many other AI tech focused entities specializing in setting up High Performance Computing (HPC) centres. Our platform allows you to explore the potential of your hardware and maximize its capacity for AI computation. Join us today and discover how you can benefit from HPC centres and cutting-edge AI technology.\n\n\n\nHyperCycleThe Internet of AI\n\n\n\n\nPenguin GroupInfrastructure & Data CentresGet Started\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSite Map Home\nAbout Us\nFAQ\nContact Us\n\n \n\nEcosystem HyperCycle.ai\nHyperCycle.store\nHyperCycle.io\nHyperPG.com\n\n\n\n\nGet Connected Start Here\nGet a quote\nPartnerships\nInvestor Relations\n\n\n\n\nSearch\n\nSearch\n\n\n\n\n\n\n\n\n\u00a9 2024 HyperPG. All Rights Reserved, HyperPG\n\n\n\ntwitteryoutubetelegram \n\n\n\n\n\n\n\n\nClose Menu\n \n\n HYPERCYCLE.AI NODEMARKET.IO HYPERAIBOX.COM\n\nHome\nAbout Us\nGet Started\nFAQ\nJoin the Pools\n\n\n\n\n\ntwitter youtube telegram"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://www.nodemarket.io/:None:0
encoding: FLOAT32
metadata:
{"source": "https://www.nodemarket.io/", "title": "NodeMarket: Decentralized AI Node Market & OTC Token Exchange", "description": "Explore a decentralized AI Node Market and OTC Token Exchange on NodeMarket. Trade tokens, purchase node licenses, and participate in the next-gen of blockchain technology.", "language": "en", "id": "https://www.nodemarket.io/:None:0", "chroma:document": "NodeMarket: Decentralized AI Node Market & OTC Token ExchangeNodeMarket.ioMarketExchangeMint10 Gwei10\"NODE MARKET NOW OPEN\" BUY AND SELL NODE LICENSES RIGHT HERE!AI Node Marketand Token Exchangeand Token ExchangeExplore NodesView ExchangeBuy Node Licenses  Top Tokens (24hr Volume) 1HYPC60,760.00+904.3 % 2HYPC0.000.0% 3HYPC0.000.0% 4HYPC0.000.0% 5SOPH0.000.0%Top Discounts (OTC Price) 1HYPC0.39-9.59%Latest Listings13,90010,000hypc21,9505,000hypc34,85010,000hypc44,75010,000hypc54,65010,000hypcLatest Sales11,6404,000hypc24,60010,000hypc34,50010,000hypc44,40010,000hypc54,30010,000hypc  Top Tokens (24hr Volume)1HYPC60,760.00+904.3 %2HYPC0.000.0%3HYPC0.000.0%4HYPC0.000.0%5SOPH0.000.0%  Top Discounts (OTC Price) 1HYPC0.39-9.59%Latest Listings 13,90010,000hypc 21,9505,000hypc 34,85010,000hypc 44,75010,000hypc 54,65010,000hypcLatest Sales11,6404,000hypc24,60010,000hypc34,50010,000hypc44,40010,000hypc54,30010,000hypcTWIN/USDC& USDT + ETH Trading PairsTWIN PROTOCOL TOKEN is HERE, pioneered by  NODEMARKET NFT holdersNTWIN TOKEN LISTINGIS LIVETOKEN LISTING COMING SOONView ExchangeTWIN/USDC& USDT + ETH Trading PairsTWIN PROTOCOL TOKEN IS HERE,     pioneered by  NODEMARKET NFT holdersNTWIN  TOKEN LISTING IS LIVEView ExchangeNodeMarket.ioYour decentralized AI Node Marketand OTC Token ExchangeNavigation Home Market Exchange Token IndexExternal LinksHyperCycleSingularityDAOTwinProtocolContactContact UsReport a BugToken Listings2023 (C) HYPC Node MarketTerms of ServicePrivacy Policy"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://www.nodemarket.io/market:None:0
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{"source": "https://www.nodemarket.io/market", "title": "Node Market | Explore HyperCycle Node Licenses", "description": "Explore and trade HyperCycle Node Licenses in a secure and decentralized marketplace.", "language": "en", "id": "https://www.nodemarket.io/market:None:0", "chroma:document": "Node Market | Explore HyperCycle Node LicensesNodeMarket.ioMarketExchangeMint10 Gwei10HyperCycleNode Market150 Floor Price?225341 Total Volume?3865License Bundles31Listed Items686(5.63%)Owners (Unique)  License Bundles Token Stacks Activity Sort by Listing PriceSort by Time RemainingSort by Creation TimeSort by Bundle SizePrev1Next Sort by Listing PriceSort by Time RemainingSort by Creation TimeSort by Bundle SizePrev1Next1 HYPC Node Licenses 150 0xa4868f...  Buy NowExpires2024/12/262 HYPC Node Licenses 225 0xa4868f...  Buy NowExpires2024/07/062 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/12/252 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/12/252 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/12/252 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/12/252 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/12/252 HYPC Node Licenses 260 0xc06b8e...  Buy NowExpires2024/09/202 HYPC Node Licenses 300 0xb7131b...  Buy NowExpires2024/09/244 HYPC Node Licenses 500 0xf25639...  Buy NowExpires2024/07/044 HYPC Node Licenses 520 0xc06b8e...  Buy NowExpires2024/09/204 HYPC Node Licenses 520 0xc06b8e...  Buy NowExpires2024/12/254 HYPC Node Licenses 520 0xc06b8e...  Buy NowExpires2024/09/208 HYPC Node Licenses 1,000 0xc06b8e...  Buy NowExpires2024/09/208 HYPC Node Licenses 1,000 0xc06b8e...  Buy NowExpires2024/09/138 HYPC Node Licenses 1,000 0xc06b8e...  Buy NowExpires2024/09/2416 HYPC Node Licenses 1,850 0x554f5a...  Buy NowExpires2024/07/2616 HYPC Node Licenses 1,900 0xc06b8e...  Buy NowExpires2024/12/2416 HYPC Node Licenses 1,900 0xc06b8e...  Buy NowExpires2024/12/2416 HYPC Node Licenses 1,900 0xc06b8e...  Buy NowExpires2024/12/2532 HYPC Node Licenses 3,700 0xc06b8e...  Buy NowExpires2024/12/2432 HYPC Node Licenses 3,700 0xc06b8e...  Buy NowExpires2024/12/2432 HYPC Node Licenses 3,700 0xc06b8e...  Buy NowExpires2024/09/2632 HYPC Node Licenses 3,700 0xc06b8e...  Buy NowExpires2024/12/2564 HYPC Node Licenses 6,750 0x8c38c6...  Buy NowExpires2024/12/2364 HYPC Node Licenses 7,000 0xc06b8e...  Buy NowExpires2024/12/2464 HYPC Node Licenses 7,000 0xc06b8e...  Buy NowExpires2024/09/13128 HYPC Node Licenses 13,500 0xc06b8e...  Buy NowExpires2024/09/02128 HYPC Node Licenses 13,500 0xc06b8e...  Buy NowExpires2024/08/20256 HYPC Node Licenses 25,600 0xc06b8e...  Buy NowExpires2024/12/12512 HYPC Node Licenses 42,999 0x98ca6a...  Buy NowExpires2024/08/22  Prev1NextList for SaleNodeMarket.ioYour decentralized AI Node Marketand OTC Token ExchangeNavigation Home Market Exchange Token IndexExternal LinksHyperCycleSingularityDAOTwinProtocolContactContact UsReport a BugToken Listings2023 (C) HYPC Node MarketTerms of ServicePrivacy Policy"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://www.hyperappliance.ai/:None:0
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{"source": "https://www.hyperappliance.ai/", "title": "Home | HyperAI Box", "language": "en", "id": "https://www.hyperappliance.ai/:None:0", "chroma:document": "Home | HyperAI Box\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ntop of pageLog InExploreProductsFeaturesShopMoreUse tab to navigate through the menu items.HyperAiBox\u00a0 \u00a0POWER - CONNECT - COMPUTE \u00a0HyperAIBox is a plug-and-play device that is specifically designed for AI computing on the HyperCycle Network.Limited Stock\u00a0\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nInnovative Technology\u00a0Optimized for HyperCycle\u00a0\n\n\n\n\n\n\nSold OutRegister Your Interest to Buy the H3 HyperAiBox Register InterestShop NowExplore Our HyperAiBoxSold Out\n\n\n\n\n\n\n\nCompact & SleekSeamlessly fits into any space.\u00a0\nStack them on top of each other and multiply your computing power with no effort.\n\n\n\n\n\nPlug and PlayWith pre-installed software, run your nodes directly from home.\nSimply plug it in, connect your wallet, attach your license and start providing AI computing on the network.\n\n\n\n\nOptimizedWith only 20W of power consumption, HyperAiBox is pre-configured and optimized to run AI computation on the Network with max efficiency.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nEasy to useControl your HyperAiBox with the tip of your fingers and monitor your contribution in real time\u00a0 thanks to the integrated LED touchscreen.Our Mission\n\"To empower individuals with in-home data storage, machine learning, and AI computation, reducing reliance on global corporations!\"Sold OutShop NowHyperAiBox: Your Gateway To The World of AI ComputingAt HyperAiBox, we are committed to providing you with the best AI computing experience. Our plug-and-play appliance is built with innovative technology to meet your needs. Whether you are a student, researcher, or AI developer, we offer the best options to make you an actor of the AI Computation Economy.Purpose-built to run HyperCycle Nodes on optimised hardwareManage your ressources all in one placeUpdates and support from HyperCycle EngineersDesigned to autonomously handle tasksSold OutSold OutSold OutRegister Your Interest to Buy the H3 HyperAiBox Register InterestJoin Our HyperAiClubBecome a member of our HyperAiClub today to get access to exclusive early-bird sales, new arrivals, and other special offers. Join NowFeaturesEach Feature Is Professionally Researched And Designed By HyperCycle EngineersTouch ScreenMulti-LEDsWiFi 6Ethernet PortsStereo SpeakersMicroSD SlotBluetooth 5.029x26x6 cmPart of the HyperCycle EcosystemResourcesDownload Guide BookContact Ussupport@hyperappliance.ioFollow UsTwitter\nYouTube\nTelegramReturn PolicyPrivacy PolicyPayment Methods\u00a9 2023 HyperAiBoxbottom of page"}


created_at: 2024-06-29 10:01:04
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
id: https://www.hypercycle.ai/:None:0
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{"source": "https://www.hypercycle.ai/", "title": "Home | HyperCycle", "description": "HyperCycle is building a tiny but essential component that enables AI Machines to transact with other AI machines  in a sub-second finality", "language": "en", "id": "https://www.hypercycle.ai/:None:0", "chroma:document": "Home | HyperCycle\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ntop of pageHomeTechnologyContactsFAQsNewsMoreUse tab to navigate through the menu items.Whitepaper Multi\n\n\n\n\n\nWhitepaper Core\n\n\n\n\n\nWhat is HyperCycle?HyperCycle is building a tiny but essential component that enables AI Machines to transact with other AI machines in a sub-second finality which results in unprecedented emergenceOwn Or Manage A Node Factory\n\n\n\n\n\nTechHow does the node work?Metaphorically speaking: The node does to AI what the web browser did to humans. Or what the Synapses do for the neurons to communicate inside the brain. That enablement, although on its own not sufficient, is necessary for the future of a cooperative AI at a modular level.Monetize any machine with HyperCycle!Your machine can be remote or local. Your participation in AI computation can enhance the intelligence of the global brain and can enable you to partake in the new wealth creation. \u00a0\n\u200b\nHyperCycle is a B2B play. However, providing our customers with tools to enable B2C and ensuring the success of our customers is our number 1 priority.\u00a0Contact UsGET IN TOUCH WITH US!Send us a message!NameEmailPhoneSubjectSubmitThanks for submitting!Some of the HyperCycle's teamToufi SalibaCEOEvan RodenbergChief Revenue OfficerMario CasiraghiTokenomics LeadDr. Ben GoertzelChief AI ScientistDr. Greg ColvinVM LeadDr. Mihaela UlieruGlobal Growth StrategistDann ToliverCTODr. Barry RoweChief Math ScientistZiad-Alexandre HayekGlobal Strategic AlliancesDr. Robert MoirChief Data ScientistAnton KoloninReputation System LeadSubscribe below to be the first to learn the news and updates around HyperCycle!Subscription FormWe invite you to learn more about how you can play a part in securing the internet of AI with Hypercycle.SubscribeThanks for subscribing!HomeSitemapTechnologyContactsFAQsContacts\n\n\n\n\n\ninfo@hypercycle.aiNews\u00a92023-3023 \nby HyPC AI.Devsbottom of page"}


created_at: 2024-07-04 09:11:18
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleContact.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleContact.txt:None:0", "chroma:document": "top of page\n\n![](https://static.wixstatic.com/media/da1588_370379d1765a4a5f9ebfb5b5129a0128f000.jpg/v1/fill/w_1280,h_477,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/da1588_370379d1765a4a5f9ebfb5b5129a0128f000.jpg)\n\nGET IN TOUCH WITH US!\n---------------------\n\n*   [](https://twitter.com/hypercycle_ai?lang=en)\n    \n*   [](https://www.youtube.com/@hypercycle8451)\n    \n*   [](https://t.me/hypercycle_ai)\n    \n\n###### Send us a message!\n\nName\n\nEmail\n\nPhone\n\nSubject\n\nSubmit\n\nThanks for submitting!\n\n![](https://static.wixstatic.com/media/da1588_1fc10a8ab26443f8ab1dcc1e3591e1d2~mv2.jpg/v1/fill/w_147,h_49,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/da1588_1fc10a8ab26443f8ab1dcc1e3591e1d2~mv2.jpg)\n\n### Subscribe below to be the first to learn the news and updates around HyperCycle!\n\n##### Subscription Form\n\n###### \u200bWe invite you to learn more about how you can play a part in securing the internet of AI with Hypercycle.\n\nSubscribe\n\nThanks for subscribing!\n\nbottom of page"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleHome.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt:None:0", "chroma:document": "top of page\n\n![](https://static.wixstatic.com/media/f8ff07_d0fb0197a3974a36a6c85e84f4bc9c36f000.jpg/v1/fill/w_1920,h_624,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/f8ff07_d0fb0197a3974a36a6c85e84f4bc9c36f000.jpg)\n\nWhat is HyperCycle?\n-------------------\n\nHyperCycle is building a tiny but essential component that enables AI Machines to transact with other AI machines in a sub-second finality which results in unprecedented emergence\n\n![DD1.png](https://static.wixstatic.com/media/f8ff07_019212b3e4ce4b6a85d44364363e704f~mv2.png/v1/fill/w_1078,h_607,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/DD1.png)\n\n[Own Or Manage A Node Factory](https://www.nodemarket.io/)\n\nTech\n\n![DD2.png](https://static.wixstatic.com/media/f8ff07_fd85d803d68a43e191fc96f4b1798503~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/DD2.png)\n\n### How does the node work?\n\nMetaphorically speaking: The node does to AI what the web browser did to humans. Or what the Synapses do for the neurons to communicate inside the brain. That enablement, although on its own not sufficient, is necessary for the future of a cooperative AI at a modular level.\n\n### Monetize any machine with HyperCycle!\n\nYour machine can be remote or local. Your participation in AI computation can enhance the intelligence of the global brain and can enable you to partake in the new wealth creation. \u00a0\n\n\u200b\n\nHyperCycle is a B2B play. However, providing our customers with tools to enable B2C and ensuring the success of our customers is our number 1 priority.\u00a0\n\n![DD1.png](https://static.wixstatic.com/media/da1588_dd7890be8829421eb6d86a353896da61~mv2.png/v1/fill/w_120,h_68,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/DD1.png)\n\nContact Us\n\nGET IN TOUCH WITH US!\n---------------------\n\n###### Send us a message!\n\nName\n\nEmail\n\nPhone\n\nSubject\n\nSubmit\n\nThanks for submitting!\n\n*   [](https://twitter.com/hypercycle_ai?lang=en)\n    \n*   [](https://www.youtube.com/@hypercycle8451)\n    \n*   [](https://t.me/hypercycle_ai)\n    \n\nSome of the HyperCycle's team\n-----------------------------"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleHome.txt:None:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt:None:1", "chroma:document": "Some of the HyperCycle's team\n-----------------------------\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04301.png](https://static.wixstatic.com/media/f8ff07_84b71f5225634fc6b7593fc930bba36b~mv2.png/v1/fill/w_141,h_138,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B01.png)\n\n#### Toufi Saliba\n\n###### CEO\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u043010.jpg](https://static.wixstatic.com/media/f8ff07_636fd791138a41b2a6235d3af3a82d42~mv2.jpg/v1/fill/w_141,h_140,al_c,q_80,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B010.jpg)\n\n#### Evan Rodenberg\n\n#### Chief Revenue Officer\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04308.jpg](https://static.wixstatic.com/media/f8ff07_5059b75c76eb426f84db74a5b15ae18c~mv2.jpg/v1/fill/w_141,h_140,al_c,q_80,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B08.jpg)\n\n#### Mario Casiraghi\n\n#### Tokenomics Lead\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04302.png](https://static.wixstatic.com/media/f8ff07_6ed599b9c3364b3c9d854047e4c02528~mv2.png/v1/fill/w_141,h_140,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B02.png)\n\n#### Dr. Ben Goertzel\n\n###### Chief AI Scientist"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleHome.txt:None:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt:None:2", "chroma:document": "#### Dr. Ben Goertzel\n\n###### Chief AI Scientist\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04306.png](https://static.wixstatic.com/media/f8ff07_ba38c950a5c042cd8c87a972b43bcf1d~mv2.png/v1/fill/w_141,h_138,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B06.png)\n\n#### Dr. Greg Colvin\n\n###### VM Lead\n\n![Mihaela-01.webp](https://static.wixstatic.com/media/1a713a_a980c272b25d420baff2b416953fa7f8~mv2.webp/v1/fill/w_136,h_136,al_c,q_80,usm_0.66_1.00_0.01,blur_3,enc_auto/Mihaela-01.webp)\n\n#### Dr. Mihaela Ulieru\n\n#### Global Growth Strategist\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04303.png](https://static.wixstatic.com/media/f8ff07_f4a0d5bd593040e5b1e5d880d074f90d~mv2.png/v1/fill/w_141,h_140,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B03.png)\n\n#### Dann Toliver\n\n#### CTO\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04304.png](https://static.wixstatic.com/media/f8ff07_7f557be6dc564685a73ccaeeb0a0103d~mv2.png/v1/fill/w_141,h_140,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B04.png)\n\n#### Dr. Barry Rowe\n\n###### Chief Math Scientist\n\n![Untitled-1-01.webp](https://static.wixstatic.com/media/995787_34c4f70cd53d40c188e72e9ee6c70096~mv2.webp/v1/fill/w_136,h_136,al_c,q_80,usm_0.66_1.00_0.01,blur_3,enc_auto/Untitled-1-01.webp)\n\n#### Ziad-Alexandre Hayek\n\n#### Global Strategic Alliances"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleHome.txt:None:3

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleHome.txt:None:3", "chroma:document": "#### Ziad-Alexandre Hayek\n\n#### Global Strategic Alliances\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04309.png](https://static.wixstatic.com/media/f8ff07_59d95638987f4ea59249794e8a974d02~mv2.png/v1/fill/w_141,h_140,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B09.png)\n\n#### Dr. Robert Moir\n\n###### Chief Data Scientist\n\n![\u041a\u0430\u0440\u0442\u0438\u043d\u04307.jpg](https://static.wixstatic.com/media/f8ff07_2cd898db5b364f3faecc276314d33474~mv2.jpg/v1/crop/x_1,y_0,w_143,h_143/fill/w_136,h_136,al_c,q_80,usm_0.66_1.00_0.01,blur_3,enc_auto/%D0%9A%D0%B0%D1%80%D1%82%D0%B8%D0%BD%D0%B07.jpg)\n\n#### Anton Kolonin\n\n#### Reputation System Lead\n\n![](https://static.wixstatic.com/media/da1588_1fc10a8ab26443f8ab1dcc1e3591e1d2~mv2.jpg/v1/fill/w_147,h_49,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/da1588_1fc10a8ab26443f8ab1dcc1e3591e1d2~mv2.jpg)\n\n### Subscribe below to be the first to learn the news and updates around HyperCycle!\n\n##### Subscription Form\n\n###### We invite you to learn more about how you can play a part in securing the internet of AI with Hypercycle.\n\nSubscribe\n\nThanks for subscribing!\n\nbottom of page"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleTechnology.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt:None:0", "chroma:document": "top of page\n\n![](https://static.wixstatic.com/media/f8ff07_d0fb0197a3974a36a6c85e84f4bc9c36f000.jpg/v1/fill/w_1280,h_547,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/f8ff07_d0fb0197a3974a36a6c85e84f4bc9c36f000.jpg)\n\nTHE TECHNOLOGY BEHIND HYPERCYCLE\n--------------------------------\n\nOur mission at Hypercycle is to enable any AI centralized or Decentralized, open source or closed source to securely partake in the global brain of AI computation. Through the convergence of the SingularityNet, Toda/IP and the data structure Earth64, we are now actively participating in the implementation of this network.\u00a0 Our team is utilizing the most secure and efficient peer-to-peer technology available in the field of cryptography, and collaborating with esteemed partners and ecosystems including Toda and SingularityNET.\u00a0 We are fortunate to work alongside numerous exceptional contributors from the centralized world like Google, Microsoft, Nvidia, Intel etc. \u00a0and decentralized like Bitcoin and Ethereum communities and many others. Our collective, unbiased approach reflects the true spirit of scientific progress and collaboration. Ask how you can play a part in securing the internet of AI by running AI computation through HyperCycle and getting rewarded for your efforts.\n\n![t1.png](https://static.wixstatic.com/media/da1588_30d92a3132c04fd9a4404d60c9bc59c6~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t1.png)\n\nThe Internet of AIs has the potential to be more powerful than any single AI, as current AI systems are siloed and are narrow such as LLM, voice recognition etc.. The evolution towards artificial general intelligence (AGI) could enable AI to undertake all tasks simultaneously. However, if AI continues to evolve in a non-cooperative and centralized manner, it could result in either no one achieving AGI or a single entity dominating AGI. The solution could lie in an Internet of AIs, where the first AGI would be an aggregate of multiple AIs forming a global brain.\n\nHyperCycle is taking the initial steps in this direction by enabling AI creators to monetize their intellectual properties and participate in AI computations that serve other AI systems. This approach facilitates secure peer-to-peer transactions for AIs, which is critical given the rapid growth of machine-to-machine transactions. By 2026, it is estimated that machine-to-machine communication will account for approximately 90% of all internet communication. At HyperCycle we continue to focus on that communication layer to ensure it is secure and peer-to-peer while others continue to enhance their AI agents.\u00a0\n\n![t2.png](https://static.wixstatic.com/media/da1588_ce3ee14057db494b8b93ced359ef352b~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t2.png)"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleTechnology.txt:None:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt:None:1", "chroma:document": "![t3.png](https://static.wixstatic.com/media/da1588_029f8fe579c4403d903a50586f4f606d~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t3.png)\n\nBefore Hypercycle, cooperation between AI machines used to be rudimentary. As AI computation becomes the world's leading industry, an efficient transmission network is essential. HyperCycle, having authored Toda/IP, Earth64 data structure is now working alongside SingularityNet, and other prominent individuals from the Bitcoin, Cardano and Ethereum communities to create a secure and efficient peer-to-peer network based on the principles of cryptography. By building the synapses of the global brain, HyperCycle aims to foster an agnostic and cumulative approach to scientific progress.\n\n![Carbon Mesh.jpg](https://static.wixstatic.com/media/da1588_cc7a59f2b97b4a8d9a7a6b9b48778e26~mv2.jpg/v1/fill/w_147,h_92,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/da1588_cc7a59f2b97b4a8d9a7a6b9b48778e26~mv2.jpg)\n\nHyperCycle Network\n------------------\n\n![hyper partners.png](https://static.wixstatic.com/media/f8ff07_cace9f85c8434f7b8ca4d6b65f2b7c3e~mv2.png/v1/fill/w_48,h_27,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/hyper%20partners.png)\n\nBUT HOW EXACTLY HYPERCYCLE WORKS?\n=================================\n\nTo provide a clear analogy, the role of a HyperCycle node in an AI system is similar to the impact a web browser had on human interaction with the internet, or the way synapses facilitate communication between neurons within the brain. While a node's presence alone is not enough to ensure the success of a cooperative AI system, it is an essential component for enabling collaboration and communication on a modular level.\n\n![fgdh.jpg](https://static.wixstatic.com/media/da1588_e5977307a83a4229a924be5ec20dbd90~mv2.jpg/v1/fill/w_143,h_80,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/fgdh.jpg)"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleTechnology.txt:None:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt:None:2", "chroma:document": "HyperCycle is a booster of every AI computation which integrates Toda/IP at the network layer, a state-of-the-art virtual machine CoSaTo.VM (python and EVM), Earth64 Data structure and the Sato-Servers and the HyPC utility containers and node factory enablers. The HyPC serves as a container for payment so you can transmit any currency including USD, Bitcoin, ETH etc. facilitating AI computation transactions. To participate in this cutting-edge ecosystem, you can manage or own one or multiple nodes either from a distributor or in wholesale directly from HYPC Corp.\n\n![t4.png](https://static.wixstatic.com/media/da1588_712c0ecb163146c4a32ef80317e87d65~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t4.png)\n\n![DD2.png](https://static.wixstatic.com/media/f8ff07_fd85d803d68a43e191fc96f4b1798503~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/DD2.png)\n\nAn individual software node license is currently priced at $130. Each node demands 1,024 HYPC tokens to operate as a factory of nodes, ensuring seamless integration with the existing foundational layer of the internet TCP/IP, so no new rails are needed, no third party is needed. By providing a cost-effective solution, HyperCycle aims to democratize access to advanced AI computation and foster a collaborative environment for AI systems to thrive by increasing their revenue on one side and their intelligence on another.\u00a0\n\nInitiating HyperCycle nodes enables individuals and organizations to further monetize their AI to the rapidly growing AI industry. As the demand for AI computation increases, participants can benefit from the efficient and secure network offered by HyperCycle. By creating an accessible platform for AI collaboration, HyperCycle is paving the way for the Internet of AIs and the potential realization of artificial general intelligence. HyperCycle is at the forefront of the AI revolution, as running AI computation is predicted to become the world's leading industry. This shift will not only add significant value to humanity but also present lucrative financial opportunities for individuals and organizations. By operating and/or owning HyperCycle nodes, you can contribute to the progress of advanced AI computation while profiting on an ongoing basis.\u00a0\n\n![t5.png](https://static.wixstatic.com/media/da1588_c256c566f97e458c8c058cdacff1d999~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t5.png)\n\n![t7.png](https://static.wixstatic.com/media/da1588_fb3f535c92cd4e2aa3e02398ad985640~mv2.png/v1/fill/w_120,h_67,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/t7.png)"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\HyperCicleTechnology.txt:None:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\HyperCicleTechnology.txt:None:3", "chroma:document": "HyperCycle facilitates cooperation and competition of AI.  \nCooperation often results in emergence of unprecedented intelligence and the competition results in an ongoing self evolutionary nature of the overall system that is often progressive. Cryptography is at the core of the network packets to ensure the p2p transactions reach sub-second finality with zero third party dependencies. Everyone who is reading this can partake in this initiative and operate and/or own factory of Nodes referred to as HyperShare. It has smart contracts built in and customizable to address the needs of stakeholders.\u00a0\n\n### HYPERCYCLE COMPUTATIONAL NODE SCHEMATIC\n\n![DD1.png](https://static.wixstatic.com/media/f8ff07_019212b3e4ce4b6a85d44364363e704f~mv2.png/v1/fill/w_49,h_28,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/DD1.png)\n\n### Do you have questions?  \nDon't hesitate to reach us!\n\n[Contact Us](https://www.hypercycle.ai/contact-6)\n\nbottom of page"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\Hyperon.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt:None:0", "chroma:document": "### OpenCog Hyperon is....\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/00007_5.png)](#)\n\n#### [SCALABLE](#)\n\nOpenCog Hyperon is designed to make effective use of distributed computing architectures to judiciously spread computational tasks across a large number of machines or clusters.  \n  \nIt is also designed to exploit either traditional cloud or on-premise architectures or decentralized, blockchain-based deployments (leveraging tools like SingularityNET, NuNet and HyperCycle).\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/00007_2.png)](#)\n\n#### [MATHEMATICAL](#)\n\nThe semantics of the MeTTa language, and the mode of implementation of different AI algorithms in MeTTA for use in Hyperon, is guided by a body of mathematical work connecting cognitive processes like learning, reasoning, creativity, concept blending, perception and motivation with a common set of mathematical structures related to metagraphs and associated algebras, categories and symmetries.\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/00008_1.png)](#)\n\n#### [COGNITIVE](#)\n\nThe OpenCog Hyperon toolkit can be used to implement a great variety of different software systems embodying a diversity of cognitive architectures; however, we have paid special attention to be sure that it is suitable for scalable and simple implementation of cognitive architectures resembling our current best understanding of the human mind.\n\n### Where can you start your journey \ufeffwith OpenCog Hyperon?\n\nStarting your journey with OpenCog Hyperon as an AI developer is an exciting chance to explore the limits of Artificial General Intelligence (AGI). To get started, there are several key steps you can take:\n\n[Get started with GitHub](https://github.com/trueagi-io/)\n\n[Read our papers](#papers)\n\n[Discussion videos](#video)\n\nSelected papers\n==============="}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\Hyperon.txt:None:1

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt:None:1", "chroma:document": "[Get started with GitHub](https://github.com/trueagi-io/)\n\n[Read our papers](#papers)\n\n[Discussion videos](#video)\n\nSelected papers\n===============\n\n*   ##### [Meta-MeTTa: an operational semantics for MeTTa.](https://arxiv.org/pdf/2305.17218)\n    \n      \n    \n*   ##### [A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems.](https://arxiv.org/pdf/2203.15970)\n    \n      \n    \n*   ##### [Reflective Metagraph Rewriting as a Foundation for an AGI \u201cLanguage of Thought\u201d.](https://arxiv.org/pdf/2112.08272)\n    \n      \n    \n*   ##### [The General Theory of General Intelligence: A Pragmatic Patternist Perspective.](https://arxiv.org/abs/2103.15100)\n    \n      \n    \n*   ##### [Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs.](https://arxiv.org/pdf/2102.10581)\n    \n      \n    \n*   ##### [Paraconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation.](http://Paraconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation)\n    \n      \n    \n\nLatest AGI Video Discussions\n============================\n\n### A few of the Innovators behind OpenCog Hyperon\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/Ben-Asset-32.png)](#)\n\n#### [Dr. Ben Goertzel](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/AlexeyAsset-28.png)](#)\n\n#### [Dr. Alexey Potapov](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/Ikle-sset-26-768x768-copy.png)](#)\n\n#### [Dr. Matt Ikle](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/Niel-768x768-1.png)](#)\n\n#### [Dr. Nil Geisweiller](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/Hyperon-Hedra-Yusuf.png)](#)\n\n#### [Hedra Yusuf](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/senna-768x768-copy.png)](#)\n\n#### [Andre Senna](#)"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\Hyperon.txt:None:2

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt:None:2", "chroma:document": "#### [Hedra Yusuf](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/senna-768x768-copy.png)](#)\n\n#### [Andre Senna](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/Vitaly-768x768-copy.png)](#)\n\n#### [Vitaly Bogdanov](#)\n\n[![](https://hyperon.opencog.org/wp-content/uploads/2023/06/00007_2.png)](#)\n\n#### [Nil](#)\n\n### Get Involved - Join the OpenCog Hyperon Community\n\nJoining the OpenCog Hyperon community will give you the chance to meet other like-minded people, researchers, and developers.\n\nJoin us in insightful discussions, collaborate with subject-matter experts, and let\u2019s build the future of AGI \u2013 together.\n\n[](https://discord.gg/vxPc6sz)\n\n[](https://t.me/TrueAGI)\n\n[](https://www.youtube.com/@opencoghyperon)\n\n[](https://twitter.com/opencog?lang=en)\n\n\u00a9 2024 Hyperon OpenCog All Rights Reserved.\n\nScroll to Top\n\n ![](https://pixel.wp.com/g.gif?v=ext&blog=219891063&post=7&tz=0&srv=hyperon.opencog.org&j=1%3A13.6&host=hyperon.opencog.org&ref=&fcp=1036&rand=0.9593244003154175)\n\nSingularityNET\n\n28.4K subscribers\n\n[AGI-23 | Hyperon Session with Dr. Ben Goertzel](https://www.youtube.com/watch?v=5Uy3j4WCiXQ)\n\nSingularityNET\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=5Uy3j4WCiXQ&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00\n\n0:00 / 8:19:56\u2022Live\n\n\u2022\n\n[](https://www.youtube.com/watch?v=5Uy3j4WCiXQ \"Watch on YouTube\")\n\nOpenCog Hyperon\n\n328 subscribers\n\n[Ben Goertzel - Engineering and Emergence in AGI Systems | AGI Discussion - June 18, 2021](https://www.youtube.com/watch?v=ynJ23_oG5Bc)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\Hyperon.txt:None:3

metadata:
{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt:None:3", "chroma:document": "OpenCog Hyperon\n\n328 subscribers\n\n[Ben Goertzel - Engineering and Emergence in AGI Systems | AGI Discussion - June 18, 2021](https://www.youtube.com/watch?v=ynJ23_oG5Bc)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=ynJ23_oG5Bc&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00\n\n0:00 / 1:47:37\u2022Live\n\n\u2022\n\n[](https://www.youtube.com/watch?v=ynJ23_oG5Bc \"Watch on YouTube\")\n\nOpenCog Hyperon\n\n328 subscribers\n\n[Ben Goertzel & Matt Ikle - Measuring Consciousness in AGI Systems | AGI Discussion - July 15th, 2022](https://www.youtube.com/watch?v=tXZwjoP2uz4)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=tXZwjoP2uz4&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00\n\n0:00 / 1:42:42\u2022Live\n\n\u2022\n\n[](https://www.youtube.com/watch?v=tXZwjoP2uz4 \"Watch on YouTube\")\n\nOpenCog Hyperon\n\n328 subscribers\n\n[Alex Ororbia - Brain-Inspired Computing | AGI Discussion - Sept. 21, 2022](https://www.youtube.com/watch?v=7kL2hy7K60I)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
id:
C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\Hyperon.txt:None:4

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\Hyperon.txt:None:4", "chroma:document": "If playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=7kL2hy7K60I&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00\n\n0:00 / 2:41:07\u2022Live\n\n\u2022\n\n[](https://www.youtube.com/watch?v=7kL2hy7K60I \"Watch on YouTube\")\n\nOpenCog Hyperon\n\n328 subscribers\n\n[Ben Goertzel - Patterns of Cognition | AGI Discussion - April 30, 2021](https://www.youtube.com/watch?v=RmC1u-2m7fc)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=RmC1u-2m7fc&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00\n\n0:00 / 1:40:47\u2022Live\n\n\u2022\n\n[](https://www.youtube.com/watch?v=RmC1u-2m7fc \"Watch on YouTube\")\n\nOpenCog Hyperon\n\n328 subscribers\n\n[Ben Goertzel & Alexey Potapov - Minecraft for AGI? | AGI Discussion - May 14, 2021](https://www.youtube.com/watch?v=vzuaLZQCz7A)\n\nOpenCog Hyperon\n\nSearch\n\nWatch later\n\nShare\n\nCopy link\n\nInfo\n\nShopping\n\nTap to unmute\n\nIf playback doesn't begin shortly, try restarting your device.\n\nMore videos\n\nMore videos\n-----------\n\nYou're signed out\n\nVideos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.\n\nCancelConfirm\n\nShare\n\nInclude playlist\n\nAn error occurred while retrieving sharing information. Please try again later.\n\n[Watch on](https://www.youtube.com/watch?v=vzuaLZQCz7A&embeds_referring_euri=https%3A%2F%2Fhyperon.opencog.org%2F&feature=emb_imp_woyt)\n\n0:00"}


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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetOverview.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt:None:0", "chroma:document": "View and download the original [Whitepaper](https://nunet-io.github.io/public/NuNet_Whitepaper_2.0.pdf)\n. For more up-to-date developments you can view our [Info Hub](https://docs.nunet.io/nunet-infohub/)\n or [Medium](https://medium.com/nunet)\n page\n\nNuNet framework will allow for different computational processes, combining runtime implementations of open source or proprietary code, to be posted and executed on any device connected to the framework and offering its computational capacities. It will also allow for these computational processes to access various data sources advertised within the framework. The internal NuNet tokenomics will wrap the technical architecture into an economic framework, providing appropriately governed market incentives available for each participant in the network and beneficial for the self-organizational dynamics of the framework.\n\n*   _First_, at its very core, the architecture of Nunet will provide an open-ended collection of pluggable APIs, enabling independent and economically / socially incentivized participants (consumers, producers and network operations agents) to inject and/or consume information into/from the decentralized data, management and control plane of the framework;\n    \n*   _Second_, NuNet will provide a decentralized control plane for the network participants to autonomously construct and execute ad-hoc computational workflows combining independent computational and economic actors;\n    \n*   _Third_, NuNet will provide tooling and development environments and tokenomic incentives for third parties to augment and/or completely redesign any network component or API.\n    \n\nThe first and second aspects are instrumental to NuNet framework operation and will be initially developed by NuNet core developers. However, the achievement of the long-term vision and ambition of NuNet, all three aspects will have to be continuously developed and support each other.\n\n![](https://docs.nunet.io/~gitbook/image?url=https%3A%2F%2F2443607065-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FVNrdSGpM5fItfRoJFAQc%252Fuploads%252Fmo8I8Rcm8vCJPrpP4mrx%252FNuNet%2520Platform%2520Decentralised%2520Computing.png%3Falt%3Dmedia%26token%3Da99a9e6c-fecb-4957-bf5c-d639e1b38b21&width=768&dpr=4&quality=100&sign=4c9c58ff&sv=1)\n\nFigure 1: NuNet platform is an open-ended collection of pluggable open API, enabling providers, consumers and network operating agents to autonomously construct ad-hoc computational workflows from available components.\n\nThe third aspect is instrumental for attracting community and business partners.\n\nThe collection of pluggable open APIs and the decentralized control plane will allow NuNet to operate as a decentralized service mesh - or rather as an ecosystem of ad-hoc service mesh implementation of each computational workflow. It is decentralized in the sense that it does not have a single controller or orchestrator and each ad-hoc mesh network implementing a computational workflow and its runtime environment will be completely autonomous from each other."}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetOverview.txt:None:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt:None:1", "chroma:document": "Furthermore, each ad-hoc mesh network is decentralized in the sense that it is constituted from economically independent and computationally isolated components/ participants. Network operation agents are those components of the infrastructure that will provide independent construction, orchestration, execution, clearing and settlement of all computational and tokenomic transactions involved in ad-hoc service meshes. Network operations agents, however, will be economic actors on their own and, therefore will be able to offer their underlying computational workflows within the same NuNet framework and infrastructure of open APIs. Therefore, NuNet will build the basis for a dynamic, infinitely extendable and evolving ecosystem of ad-hoc service meshes - a decentralized computational universe and a global economy of decentralized computing.\n\nAll computing processes, no matter how powerful or simple, are based on three fundamental aspects: _memory_, _communication_ and _functional transformations_ of data. Computational infrastructures at every scale are built by providing increasingly complex architectures for combinations of the components that realize these three aspects. None of them are free of charge: implementation of memory and communication require both physical resources and energy, and the design of functional transformations require intelligence and time. In addition, all of these computing processes are certainly associated with specific types of legal ownership and economic value.\n\nThe architecture of NuNet is based on the principle that physically and logically decentralized networks should also be managed in a decentralized way, which, contrary to the established approaches, allows one to _increase_ the security and privacy of network constituents , along with providing next level capabilities for optimized data and work flows. We are convinced that decentralization, openness and freedom of data and resource sharing do not need to be traded for individual security and privacy; but can actually complement and enforce each other if done right using available technologies. The philosophy of design is therefore based on the core principle of decentralized systems and distributed trust, where network is considered insecure and trustworthiness of messages and identities of workflow components questionable until this is proven at the level of each individual agent of the network. NuNet adapts and expands this principle for decentralized workflow organization, where each node of the network has a power to decide, negotiate economic or social benefits and commit resources and data to the computational workflow organized in a decentralized manner by other nodes in the network.\n\nTechnically, these principles will be realized via the following architectural components:"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetOverview.txt:None:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetOverview.txt:None:2", "chroma:document": "Technically, these principles will be realized via the following architectural components:\n\n1.  An open and organically evolving _**API of APIs**_ for enabling interactions between components of the platform as provided by stakeholders:\n    \n    **a.** hardware (sourced from compute providers); **b.** data (sourced by data providers); **c.** tasks and results (consumers); **d.** and AI services (sourced from AI service providers and network operators).\n    \n2.  Lightweight _**NuNet adapters**_ running as portably as possible across the participating decentralized computing networks and infrastructures. NuNet agents will provide a low level API to be utilised by computational agents of enabling four main functionalities: computational reflection, context awareness, mobility and value exchange. NuNet adapter will be installed on every component upon registration on the platform but will expose different APIs depending on the type of component (e.g. resource description API and service ingestion API on compute providers and AI service provider nodes, task description and validation APIs on consumer nodes and various APIs on network operator nodes, etc.);\n    \n3.  _**Network operating agents**_, which will provide capabilities and AI services for managing the NuNet network itself, including matching demands of consumers with offers of computational capabilities and available data by producers; constructing, calculating costs, time and orchestrating proper execution of computational workflows as ad-hoc service meshes - composed from independent components. Technically, network operating agents will be special purpose AI algorithms and programs, executed on the NuNet infrastructure like other components and exposed to API of APIs via NuNet adapters. Network operating agents, however, will have special status in that they will be responsible for execution of each computational workflow, negotiate smart contracts and settle transactions.\n    \n4.  _**NuNet tokenomics**_, providing, on the one hand, the basis for value interchange between independent components of the network, single basis for cost calculations, transactions, and, on the other hand, the economic dynamics driving sustainable network development (see Governance & Decentralization section of this document ).\n    \n\n[PreviousA flexible, decentralized computational universe](/nunet-whitepaper/global-computing-infrastructure/a-flexible-decentralized-computational-universe)\n[NextComputational and Functional Principles](/nunet-whitepaper/system-architecture/computational-and-functional-principles)\n\nLast updated 1 year ago\n\nThis site uses cookies to deliver its service and to analyse traffic. By browsing this site, you accept the [privacy policy](https://www.iubenda.com/privacy-policy/67148905)\n.\n\nAcceptReject"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetSummary.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt:None:0", "chroma:document": "View and download the original [Whitepaper](https://nunet-io.github.io/public/NuNet_Whitepaper_2.0.pdf)\n. For more up-to-date developments you can view our [Info Hub](https://docs.nunet.io/nunet-infohub/)\n or [Medium](https://medium.com/nunet)\n page\n\nNuNet is a computing framework that provides globally distributed and optimized computing power and storage for decentralized networks, by connecting the owners of data and computing resources with computational processes in demand of these resources. Furthermore, NuNet provides a layer of intelligent interoperability between computational processes and physical computing infrastructures. It is an ecosystem which intelligently harnesses latent computing resources of the community into the global network of computations. NuNet infrastructure enables to optimally position AI processes, interfaces and data within the global network and establish machine-to-machine payment and data streaming channels -- thus minimizing costs of global computing and enabling novel business processes for the Data Economy and Internet of Things.\n\nNuNet platform is designed to be an extremely flexible network, encompassing mobile consumer devices, edge computing and IoT devices alongside with PCs, servers and data centers, allowing seamless interoperability among its components and intelligent automation of workflow design. NuNet leverages Web 3 technologies, serverless container execution, service mesh orchestration, crypto-economy, and more, toward the creation of the decentralized \u201cworld computer\u201d.\n\nNuNet is a spinoff of SingularityNET Global AI Marketplace, operating since 2017. NuNet has been incubated via SingularityNET X-Lab Accelerator programme since early 2018. The technology development and early use cases of the NuNet platform will be geared towards (but not limited to) supporting the computational infrastructure of decentralized AI agents of SingularityNET.\n\nGlobal volumes of computing capacities, data and computer code are growing exponentially on a continuous basis. However, due to the historical circumstances surrounding the development of global computing infrastructures, computing, data and code are fragmented into silos with limited access available only for the richest economic and social actors. The enormous economic and social value locked between the boundaries of those silos and the potential of decentralized technologies for unlocking them is being increasingly clearly recognized and addressed. Using currently available computing resources for training state-of-the-art machine learning models is prohibitively expensive and can cost millions of dollars for a single training cycle. Therefore, cutting-edge AI and ML technology development and application is not affordable for most researchers, individuals, and SMEs.\n\nNuNet aims at creating a framework for providing an interoperability and transactional layer connecting latent computing resources of privately and commercially owned devices, open source and proprietary code, data sources and storage into a single dynamically evolving Global Economy of Decentralized Computing. Through increased accessibility - of resources to process owners, and of processes to resource owners, data to processes and storage to data - NuNet will result in radically new capabilities of value creation and lower operating costs for the computational processes involved. In the fully functional NuNet framework:"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetSummary.txt:None:1

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt:None:1", "chroma:document": "*   Computing resource owners (of home or office PCs and laptops, IoT and mobile devices, etc.) will express and publish their specialized capabilities and offer them to processes that need them across diverse ecosystems;\n    \n*   Storage resource owners will express and publish their storage resource capabilities and offer them for data owners for free or in exchange for tokens depending on their individual preferences;\n    \n*   Computational process owners will express and publish their specialized computational and data requirements and bid for resources and know-how, as well as offer and/or spot-sell their own functionalities and capacities across the ecosystem;\n    \n*   Data owners will publish descriptions, access restrictions and privacy considerations of their data, allowing processes to utilize existing data and contribute to its refinement and growth;\n    \n*   Each participant (e.g. individual users or owners of resources) will be able to express their preferences of how the network should guide the usage of their resources and/or charge convertible cryptographic tokens for the usage of each respective resource;\n    \n*   Each participant (e.g. social and business enterprises) will be able to bid for free or paid usage of resources offered through the framework and to pay using native NuNet tokens.\n    \n\nNuNet will provide self-regulation of the interactions of three types of participants in the network: providers of data, compute & AI services, consumers of the data & compute (using AI, code and algorithms) and network operations agents. The latter will orchestrate creation, execution and verification of computational workflows connecting providers with consumers into ad-hoc service meshes, where each service is potentially provided by a different entity and compensated according to its preferences. Network operations agents will ensure correct and timely provisioning of services from decentralized peer-to-peer network, confirmation of executed processes, and correct compensation for services for each service provider according to its preferences and the work done.\n\nIn most simple cases, processes operating on NuNet may be simple, standalone computing processes intended to be executed in isolation, in which case NuNet would simply provide adequate computing power and data sources for these simple processes to be completed considering cost constraints. However, the processes themselves may also be participants in various different decentralized networks, having their own features and ecosystems. In the latter case, NuNet realizes what is called a meta marketplace economy (MME) - a modality of operation that will become increasingly valuable over the next few years, as the \"network of networks\" aspect of the emerging decentralized economy transitions from concept to reality with the increased adoption and interoperability of decentralized computing networks (e.g. SingularityNET, DAIA members and others).\n\nIn most advanced case, ultimately targeted by NuNet as a basis of the global economy of decentralized computing processes, network operation agents will relate data & compute providers from different decentralized (and possibly commercial) computing frameworks with AI, code and algorithms of diverse entities into service-mesh type ad-hoc workflows. NuNet governance and tokenomic framework will ensure that a contract for computational work demanded from a workflow by consumer is delivered and each component of the workflow is compensated according to work done, agreed prices and using cryptographic tokens of involved frameworks and computational engines.\n\nThe meta marketplace economy of NuNet will be supported by the network operations agents using, among other mechanisms:\n\n1.  A native token, interoperating and compliant with the tokens and other value exchange mechanisms already implemented within the ecosystems supported by the NuNet framework; and\n    \n2.  A governance paradigm geared towards establishing rich collaborations among human as well as AI agents over an open-ended, heterogeneous globally connected infrastructure."}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\NuNetSummary.txt:None:2

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\NuNetSummary.txt:None:2", "chroma:document": "1.  A native token, interoperating and compliant with the tokens and other value exchange mechanisms already implemented within the ecosystems supported by the NuNet framework; and\n    \n2.  A governance paradigm geared towards establishing rich collaborations among human as well as AI agents over an open-ended, heterogeneous globally connected infrastructure.\n    \n\nNuNet is designed to serve both commercial and social-impact ends, in a synergetic way. It will serve as a commercial ecosystem supporting a growing number of businesses in need of highly customizable and dynamically distributed computing as well as purpose-optimized workflow design for low-cost distributed computing behind their decentralized applications. It will also support the global benefit of society by introducing initiatives and projects where NuNet participants can donate resources and know-how towards solving critical global problems.\n\n[PreviousNuNet Whitepaper](/nunet-whitepaper)\n[NextCurrent State: data and computing silos](/nunet-whitepaper/global-computing-infrastructure/current-state-data-and-computing-silos)\n\nLast updated 1 year ago"}


created_at: 2024-07-04 09:11:18
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\singularityAboutUs.txt:None:0

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt:None:0", "chroma:document": "About SingularityNET\n====================\n\n![](https://img.youtube.com/vi/LZkADy2RRoA/sddefault.jpg)\n\nAbout SingularityNET\n====================\n\nSingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence. An \u2018AGI\u2019 that is not dependent on any central entity, that is open for anyone and not restricted to the narrow goals of a single corporation or even a single country.\n\nSingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment.\n\n#### Our Team\n\n#### Founding Team\n\n![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\") ![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\")\n\n#### Dr. Ben Goertzel\n\nCEO and Chief Scientist\n\n*   [](https://www.linkedin.com/in/bengoertzel/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/bengoertzel/ \"Linkedin\")\n\n*   [](https://goertzel.org/)\n    \n\n###### [Visit Website](https://goertzel.org/ \"Visit Website\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/David-Hanson.png \"Dr. David Hanson\") ![](https://singularitynet.io/wp-content/uploads/2022/09/David-Hanson.png \"Dr. David Hanson\")\n\n#### Dr. David Hanson\n\nCo-founder\n\n*   [](https://www.linkedin.com/in/david-hanson-a51162/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/david-hanson-a51162/ \"Linkedin\")\n\n*   [](https://www.hansonrobotics.com/leadership/)\n    \n\n###### [Visit Website](https://www.hansonrobotics.com/leadership/ \"Visit Website\")\n\n#### Executive Team\n\n![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\") ![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\")\n\n#### Dr. Ben Goertzel\n\nCEO and Chief Scientist\n\n*   [](https://www.linkedin.com/in/bengoertzel/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/bengoertzel/ \"Linkedin\")\n\n*   [](https://goertzel.org/)\n    \n\n###### [Visit Website](https://goertzel.org/ \"Visit Website\")"}


created_at: 2024-07-04 09:11:18
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt:None:1", "chroma:document": "###### [Linkedin](https://www.linkedin.com/in/bengoertzel/ \"Linkedin\")\n\n*   [](https://goertzel.org/)\n    \n\n###### [Visit Website](https://goertzel.org/ \"Visit Website\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/Janet-Adams.jpg \"Janet Adams\") ![](https://singularitynet.io/wp-content/uploads/2022/09/Janet-Adams.jpg \"Janet Adams\")\n\n#### Janet Adams\n\nChief Operating Officer\n\n*   [](https://www.linkedin.com/in/janet-adams-ai/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/janet-adams-ai/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/1520291159242.jpg \"Mario Casiraghi\") ![](https://singularitynet.io/wp-content/uploads/2022/09/1520291159242.jpg \"Mario Casiraghi\")\n\n#### Mario Casiraghi\n\nHead of Crypto\n\n*   [](https://www.linkedin.com/in/macasiraghi/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/macasiraghi/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/10/Matt-Ikle.jpg \"Dr. Matt Ikle\") ![](https://singularitynet.io/wp-content/uploads/2022/10/Matt-Ikle.jpg \"Dr. Matt Ikle\")\n\n#### Dr. Matt Ikle\n\nChief Science Officer\n\n*   [](https://www.linkedin.com/in/matthewikle)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/matthewikle \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/Jan-Horling-Image.jpg \"Jan Horlings\") ![](https://singularitynet.io/wp-content/uploads/2022/09/Jan-Horling-Image.jpg \"Jan Horlings\")\n\n#### Jan Horlings\n\nChief Deep Funding Officer\n\n*   [](https://www.linkedin.com/in/janhorlings/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/janhorlings/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2023/04/Sergey_Shalyapin-copy.png \"Sergey Shalyapin\") ![](https://singularitynet.io/wp-content/uploads/2023/04/Sergey_Shalyapin-copy.png \"Sergey Shalyapin\")\n\n#### Sergey Shalyapin\n\nChief Technology Officer\n\n*   [](https://www.linkedin.com/in/sergey-shalyapin-489547271/)"}


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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt:None:2", "chroma:document": "#### Sergey Shalyapin\n\nChief Technology Officer\n\n*   [](https://www.linkedin.com/in/sergey-shalyapin-489547271/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/sergey-shalyapin-489547271/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2023/04/photo_beard2-1.jpeg \"Dr. Alexey Potapov\") ![](https://singularitynet.io/wp-content/uploads/2023/04/photo_beard2-1.jpeg \"Dr. Alexey Potapov\")\n\n#### Dr. Alexey Potapov\n\nChief AGI Officer\n\n*   [](https://www.linkedin.com/in/alexey-potapov-agi/?locale=en_US)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/alexey-potapov-agi/?locale=en_US \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2023/07/Screenshot-2023-07-06-at-20.42.24.png \"Dr. Mihaela Ulieru\") ![](https://singularitynet.io/wp-content/uploads/2023/07/Screenshot-2023-07-06-at-20.42.24.png \"Dr. Mihaela Ulieru\")\n\n#### Dr. Mihaela Ulieru\n\nChief AI Alchemist\n\n*   [](https://www.linkedin.com/in/mihaelaulieru/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/mihaelaulieru/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2023/07/2023-01-10-12.13.17-1.jpg \"Alex Blagirev\") ![](https://singularitynet.io/wp-content/uploads/2023/07/2023-01-10-12.13.17-1.jpg \"Alex Blagirev\")\n\n#### Alex Blagirev\n\nStrategic Initiatives Officer\n\n*   [](https://www.linkedin.com/in/alexei-blagirev/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/alexei-blagirev/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2023/07/Screenshot-2023-07-06-at-20.39.39.png \"Loic Claveau\") ![](https://singularitynet.io/wp-content/uploads/2023/07/Screenshot-2023-07-06-at-20.39.39.png \"Loic Claveau\")\n\n#### Loic Claveau\n\nChief Marketing Officer\n\n*   [](https://www.linkedin.com/in/lclaveau/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/lclaveau/ \"Linkedin\")\n\n#### Foundation Board"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt:None:3", "chroma:document": "#### Loic Claveau\n\nChief Marketing Officer\n\n*   [](https://www.linkedin.com/in/lclaveau/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/lclaveau/ \"Linkedin\")\n\n#### Foundation Board\n\n![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\") ![](https://singularitynet.io/wp-content/uploads/2022/07/Dr.-Ben-Goertzel-Image.jpg \"Dr. Ben Goertzel\")\n\n#### Dr. Ben Goertzel\n\nCEO and Chief Scientist\n\n*   [](https://www.linkedin.com/in/bengoertzel/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/bengoertzel/ \"Linkedin\")\n\n*   [](https://goertzel.org/)\n    \n\n###### [Visit Website](https://goertzel.org/ \"Visit Website\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/07/cassiop.webp \"Cassio Pennachin\") ![](https://singularitynet.io/wp-content/uploads/2022/07/cassiop.webp \"Cassio Pennachin\")\n\n#### Cassio Pennachin\n\nMember\n\n*   [](https://www.linkedin.com/in/penachin/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/penachin/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/David_Lake.png \"David Lake\") ![](https://singularitynet.io/wp-content/uploads/2022/09/David_Lake.png \"David Lake\")\n\n#### David Lake\n\nMember\n\n![](https://singularitynet.io/wp-content/uploads/2022/10/Ugo-Di-Leva-.png \"Ugo Di Leva\") ![](https://singularitynet.io/wp-content/uploads/2022/10/Ugo-Di-Leva-.png \"Ugo Di Leva\")\n\n#### Ugo Di Leva\n\nMember\n\n*   [](https://www.linkedin.com/in/ugo-di-leva-7659a56/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/ugo-di-leva-7659a56/ \"Linkedin\")\n\n#### Supervisory Council\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/1627290703265.jpg \"David Orban\") ![](https://singularitynet.io/wp-content/uploads/2022/09/1627290703265.jpg \"David Orban\")\n\n#### David Orban\n\nManaging Advisor\n\n*   [](https://www.linkedin.com/in/davidorban/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/davidorban/ \"Linkedin\")"}


created_at: 2024-07-04 09:11:18
topic: persistent://default/default/cf46ee96-ed77-4dde-9ce6-ff790c649483
encoding: FLOAT32
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C:\Users\VICTORCORREAGOMES\Documents\DataScienceMachineLearning\Projetos\OpenIASTREAMLIT\data\singularityAboutUs.txt:None:4

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{"source": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt", "id": "C:\\Users\\VICTORCORREAGOMES\\Documents\\DataScienceMachineLearning\\Projetos\\OpenIASTREAMLIT\\data\\singularityAboutUs.txt:None:4", "chroma:document": "#### David Orban\n\nManaging Advisor\n\n*   [](https://www.linkedin.com/in/davidorban/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/davidorban/ \"Linkedin\")\n\n![](https://singularitynet.io/wp-content/uploads/2022/09/Screenshot-2022-10-17-at-1.28.42-PM-e1665995466106.png \"Penny Wong\") ![](https://singularitynet.io/wp-content/uploads/2022/09/Screenshot-2022-10-17-at-1.28.42-PM-e1665995466106.png \"Penny Wong\")\n\n#### Penny Wong\n\n*   [](https://www.linkedin.com/in/pennywong/)\n    \n\n###### [Linkedin](https://www.linkedin.com/in/pennywong/ \"Linkedin\")\n\n*   [](https://www.decision84.com/penny-wong)\n    \n\n###### [Visit Website](https://www.decision84.com/penny-wong \"Visit Website\")\n\n### Our Partners\n\n [![](https://singularitynet.io/wp-content/uploads/2023/12/Fetch-grey.png) ![](https://singularitynet.io/wp-content/uploads/2023/12/Fetch-color.png)\\\n\\\nCreating AI platforms and services that let anyone build and deploy AI services at scale, anytime and anywhere.](https://fetch.ai \"Fetch\")\n\n [![](https://singularitynet.io/wp-content/uploads/2023/12/Internet-Computer-grey.png) ![](https://singularitynet.io/wp-content/uploads/2023/12/Internet-Computer-color.png)\\\n\\\nThe DFINITY Foundation is a not-for-profit organization with a mission to shift cloud computing into a fully\u00a0decentralized\u00a0state. The Foundation leveraged its experience to create the Internet Computer and currently operates as a major contributor to the network.](https://dfinity.org/ \"DFINITY\")\n\n [![](https://singularitynet.io/wp-content/uploads/2023/10/Vechain-grey.png) ![](https://singularitynet.io/wp-content/uploads/2023/10/Vechain-color.png)\\\n\\\nVechainThor is a leading enterprise-grade L1 public blockchain, spearheading a digital revolution from a sustainable, highly scalable smart contract platform.](https://www.vechain.org \"vechain\")\n\n [![](https://singularitynet.io/wp-content/uploads/2023/09/HAQQ-grey.png) ![](https://singularitynet.io/wp-content/uploads/2023/09/HAQQ-color.png)\\\n\\\nEthics-first network that welcomes sustainability-centered developers, validators and open source contributors as well as Muslim innovators in sustainable Finance.](https://haqq.network \"HAQQ\")"}


