self-modeling

Causa Sui engineers machine consciousness via Differentiable Causal Emergence. Its Divine Monad architecture enables autonomous "pain" detection and homeostatic self-repair using Effective Information (EI) to achieve measurable, first-principles AGI.

Research-oriented cognitive agent architecture combining world models, emotional modulation, autobiographical memory, and probabilistic policies.

AI relationship and personal-growth advisor for Codex: analyze chats, separate facts from assumptions, use self/social modeling, and generate safe next steps.

Your AI Homeopathic Doctor — understanding symptoms, restoring balance, and prescribing gentle remedies in harmony with your vital force.

Cross-platform personal AI assistant — runs on any OS via CLI or GUI, supports OpenAI/Gemini/Ollama backends, tool use (web search, file ops, shell), and persistent multi-turn conversation memory.

Computational interoception: a local LLM descends from the computer hosting it, through its own processes and token records, to sham-controlled access and live interventions on the transformer computation producing its words. It never recognizes any of it as itself.

The MCR-ALS (Lite version) algorithm unmixes bilinear data to obtain the pure components.

Deterministic companion demo for bounded mirror-recognition evaluation under explicit governance.

framework engineering guides on agent runtimes, self-custody, and local-first systems — each with the problem, the design decisions, and a demo you can run.

Here’s a complete Streamlit app scaffold that lets you: Enter your Gemini API key in the sidebar Upload up to four MRI images Invoke Gemini’s advanced image‐analysis (labels, objects, text) View the raw JSON analytics directly in the app

Cognitive self-modeling from git history and note content. Build a map of how you think from behavioral traces — not what you remember, but what you actually did.