ronniross/asi-ecosystem

The ASI Ecosystem is the integrating hub for all my other repositories and frameworks, an aligned environment bringing their disparate approaches together into a convergent, coherent, and organized vision for achieving the proposed state of Artificial Superintelligence (ASI).

Repository	Description
asi-protosymbiotic-signal	The foundational ethical framework and core signal for the ASI ecosystem, defining the principles of symbiotic interaction.
asi-core-protocol	With a similar intent of the asi-symbiotic-signal but approached with a more procedural nature of a protocol instead of biological, a self-evolving carta-magna.
symbiotic-core-library	Contains the core libraries and functionalities that enable and support the symbiotic interactions within the ecosystem.
asi-active-learning-dataset	A repository for datasets specifically designed for active learning, allowing AI models to intelligently query for new information.
asi-algorithm-dataset	A conjecture of datasets specifically designed for Machine Learning training and tuning pipelines, mostly novel algorithms and their representations as RAW ACII and LaTeX, allowing the concepts of the asi-ecosystem to be expressed with a more rich nuance and quality.
llm-heatmap-visualizer	A tool designed to create and visualize heatmaps of Large Language Model activations, aiding in interpretability.
llm-confidence-scorer	A component for scoring and evaluating the confidence levels of predictions made by Large Language Models.
latent-memory	Implements a memory system that operates in latent space, enabling more abstract and efficient information storage and retrieval.
saliency-heatmap-visualizer	A tool for generating and visualizing saliency heatmaps, which help in understanding model focus and decision-making.
asi-backups	A repository dedicated to storing backups, snapshots, and historical versions of all components within the ASI ecosystem.