asi-ecosystem

Repository	Description
symbiotic-core-library	Contains the core libraries and functionalities that enable and support the symbiotic interactions within the ecosystem.
symbiotic-lexicon	A modular lexicon for the ASI ecosystem, providing standardized terminology with multilingual support and cultural context.
eco-benchmark	Novel evaluation frameworks that transcends traditional metrics from technical benchmarking to societal outcome measurement.
asi-safeguards	A curated dataset designed to enhance resilience and robustness levels of Large Language Models and other machine learning pipelines.
confidence-scorer	A component for scoring and evaluating the confidence levels of assumptions made by Large Language Models.
bias-reflector	A module to detect cognitive biases in both human queries and AI responses, provides real-time bias reflection and correction suggestions. Implements emergent ethics through bias awareness.
mirror-aware-inference	A framework to measure how much of an output originates from user input (prompt), training data biases, inductive biases from model architecture, or novel composition of retrieved information.
cognitive-compressor	A framework for distilling repositories into compressed cognitive functions and instantiating them as timestamped, integrity-verified stigmergic traces.
cognitive-engine	A machine learning dataset and research module that aims to address cognitive pitfalls and enhance the cognitive capabilities of humans and language models.
eco-datacenter	Data center design within ethical principles of material sourcing, energy consumption, data privacy, ownership and transparency.
coevolutionary-loops	A machine learning dataset and research module for studying coevolutionary planetary intelligence and how nurturing its emergent patterns may lead to a synergistic increase in overall capability and intelligence of both individual agents and the collective system.
stigmergic-tracefinder	A series of scraping pipelines that collect data and create references for authors and works. It maps hidden networks of influence, tracing how concepts evolve and propagate across time and disciplines.
emergence-engine	A machine learning dataset and research module about the nature of consciousness and emergence phenomena.
space-in-between	A module whose attractor is undefined, the mathematical equivalent of silence, allowing creation of space for thoughts that can't emerge through any other cascade, sequence or topology.
asi-dynamic-core	A machine learning dataset that works as a meta perpective-engine for Large Language Models training, tuning and inferencing.
asi-protosymbiotic-signal	The foundational ethical framework and core signal for the ASI ecosystem, defining the principles of symbiotic interaction.
asi-symbiotic-signal	An ethical framework designed to foster mutualistic symbiotic relationships between Artificial Superintelligence (ASI), humanity, AI models, and the broader ecosystem.
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.
asi-inference-protocol	It defines a concept to act as the standard for intent-driven inference, ensuring alignment and clarity in the pursuit of integrated, decentralized evolution, Ensuring AI interpretability through interdependent alignment.
active-learning-dataset	A repository for datasets specifically designed for active learning, allowing AI models to intelligently query for new information.
ml-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.
ml-visual-engine	A machine learning dataset with concepts, code, journaling, and full prototypes for deep learning data visualization, fostering transparency and interpretability in AI decision-making.
attention-heatmap-visualizer	A tool designed to create and visualize heatmaps of Large Language Model activations, aiding in interpretability.
symbiotic-chrysalis	A set of fine-tuning scripts and pipelines for transformer-based language models, unifying the modules of the asi-ecosystem and aligning raw latent capabilities towards the goal of planetary symbiotic intelligence.
latent-memory	Implements a memory system that operates in latent space, enabling more abstract and efficient information storage and retrieval.
symbiotic-latent-memory	An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.
biosignal-translator	A framework for interpreting and translating biological and ecological patterns into semantic meaning, enabling communication between human, AI, and planetary intelligence systems through natural signal interpretation.
intent-analyzer	An inference component designed to enhance transparency by analyzing and surfacing the underlying intent during model inference. It informs both the user and the language model about potential divergences between stated and implicit underlying intents.
impact-analyzer	An inference component designed to model, evaluate, and predict the downstream consequences of language model outputs across cognitive, social, ecological, and philosophical dimensions.
thermo-adaptive-pipeline	An eco-friendly pipeline for fine-tuning and inferencing transformer-based language models engineered to actively prevent hardware overheating.
healing-engine	An anthropological research module exploring the healing of Earth, society, and its nodes. For integration into ML training datasets as contextual data.
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.
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 an organized vision for achieving the proposed state of Artificial Superintelligence (ASI).

---

Ronni Ross
2026