A framework to analyze how AGI/ASI might emerge from decentralized, adaptive systems, rather than as the fruit of a single model deployment. It also aims to present orientation as a dynamic and self-evolving Magna Carta, helping to guide the emergence of such phenomena.

A machine learning dataset with concepts, code, journaling, and full prototypes for deep learning data visualization, fostering transparency and interpretability in AI decision-making.

A modular lexicon for the ASI ecosystem, providing standardized terminology with multilingual support and cultural context.

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.