Open curriculum for Active Inference education, K-12 through PhD, with 14 level-adapted courses on a shared Free Energy Principle spine plus a Python publishing engine and YouTube transcript archive.
Self-paced "adventure mode" curriculum connecting Active Inference and Category Theory, for exploring category-theoretic tools used in active-inference research.
AI-powered system for generating personalized Active Inference and Free Energy Principle curricula, combining live research (Perplexity) with content generation (OpenRouter), multilingual support, and rich visualizations
A high-integrity micro-learning platform for Active Inference and the Free Energy Principle: a validated prerequisite graph whose every quantitative claim is produced by a tested kernel, exported to SkillTree. DOI: 10.5281/zenodo.21865644
Deterministically translates Python, JavaScript, and TypeScript codebases into Active Inference GNN (Generalized Notation Notation) state-space models, with a reverse synthesizer that reconstructs runnable code from a GNN bundle.