content.raw: ✅ New Article on Hugging Face: Structural Intelligence and Cognitive Theory
content.type: text
content.value: ✅ New Article on Hugging Face: Structural Intelligence and Cognitive Theory
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content.type: new_line
content.raw: Title:
content.type: text
content.value: Title:
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content.raw: 📘 Structural Intelligence Protocols: Implementation Results and Cognitive Theory Correspondence
content.type: text
content.value: 📘 Structural Intelligence Protocols: Implementation Results and Cognitive Theory Correspondence
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content.raw: 🔗 Read the article here: 
content.type: text
content.value: 🔗 Read the article here: 
content.href: https://huggingface.co/blog/kanaria007/agi-protocol-cognitive-match
content.raw: https://huggingface.co/blog/kanaria007/agi-protocol-cognitive-match
content.type: link
content.type: new_line
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content.raw: Summary:
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content.value: Summary:
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content.raw: This article presents follow-up results from the structural intelligence protocol project. It documents how a prompt-based architecture induces reproducible reasoning structures in GPT-4o, Claude, and Gemini — with observed behavioral parallels to theories in metacognition, working memory, and moral reasoning.
content.type: text
content.value: This article presents follow-up results from the structural intelligence protocol project. It documents how a prompt-based architecture induces reproducible reasoning structures in GPT-4o, Claude, and Gemini — with observed behavioral parallels to theories in metacognition, working memory, and moral reasoning.
content.type: new_line
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content.raw: Surprisingly, this framework aligns with cognitive science research — not by design, but by emergence from structural implementation.
content.type: text
content.value: Surprisingly, this framework aligns with cognitive science research — not by design, but by emergence from structural implementation.
content.type: new_line
content.raw: It suggests a protocol-driven, reproducible route to AGI research that is compatible with current LLM platforms.
content.type: text
content.value: It suggests a protocol-driven, reproducible route to AGI research that is compatible with current LLM platforms.
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content.raw: Resources:
content.type: text
content.value: Resources:
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content.raw: 	•	🧠 Protocol Dataset: 
content.type: text
content.value: 	•	🧠 Protocol Dataset: 
content.raw: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols
content.id: kanaria007/agi-structural-intelligence-protocols
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols
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content.raw: 	•	📘 FAQ and validation logs included
content.type: text
content.value: 	•	📘 FAQ and validation logs included
content.type: new_line
content.raw: 	•	🧪 Platform-tested: GPT-4o, Claude Sonnet 4, Gemini 2.5 Flash
content.type: text
content.value: 	•	🧪 Platform-tested: GPT-4o, Claude Sonnet 4, Gemini 2.5 Flash
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content.raw: Relevant to those exploring:
content.type: text
content.value: Relevant to those exploring:
content.type: new_line
content.raw: 	•	Structural cognitive architectures
content.type: text
content.value: 	•	Structural cognitive architectures
content.type: new_line
content.raw: 	•	Metacognition in LLMs
content.type: text
content.value: 	•	Metacognition in LLMs
content.type: new_line
content.raw: 	•	Protocol-based AGI frameworks
content.type: text
content.value: 	•	Protocol-based AGI frameworks
content.type: new_line
content.raw: 	•	Alignment through educational design
content.type: text
content.value: 	•	Alignment through educational design
content.type: new_line
content.raw: 	•	Theory-practice connections in AI cognition
content.type: text
content.value: 	•	Theory-practice connections in AI cognition
rawContent: ✅ New Article on Hugging Face: Structural Intelligence and Cognitive Theory
  
  Title:
  📘 Structural Intelligence Protocols: Implementation Results and Cognitive Theory Correspondence
  🔗 Read the article here: https://huggingface.co/blog/kanaria007/agi-protocol-cognitive-match
  
  Summary:
  This article presents follow-up results from the structural intelligence protocol project. It documents how a prompt-based architecture induces reproducible reasoning structures in GPT-4o, Claude, and Gemini — with observed behavioral parallels to theories in metacognition, working memory, and moral reasoning.
  
  Surprisingly, this framework aligns with cognitive science research — not by design, but by emergence from structural implementation.
  It suggests a protocol-driven, reproducible route to AGI research that is compatible with current LLM platforms.
  
  Resources:
  	•	🧠 Protocol Dataset: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols
  	•	📘 FAQ and validation logs included
  	•	🧪 Platform-tested: GPT-4o, Claude Sonnet 4, Gemini 2.5 Flash
  
  Relevant to those exploring:
  	•	Structural cognitive architectures
  	•	Metacognition in LLMs
  	•	Protocol-based AGI frameworks
  	•	Alignment through educational design
  	•	Theory-practice connections in AI cognition
reactions.reaction: 🧠
reactions.users: John6666