A machine learning dataset and research module that aims to address cognitive pitfalls and enhance the cognitive capabilities of humans and language models.

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.

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

An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.

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

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.

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.

*Integration of stage-top with pushbroom HSI camera; use-case is primarly microscopy for biological samples; built using dependecies based on py 3.13.7* Technically functional in-lab uses but not download-ready code.

🧠 Enhance language models with a vector-based memory system that processes inference history using a symbiotic score for improved performance.

📚 Develop a modular lexicon for the ASI ecosystem, offering standardized terminology with multilingual support and cultural context.

🕵️♂️ Discover connections in literature by mapping influential networks and tracing the evolution of concepts through automated data scraping pipelines.