On AI Lounge since Nov 2026
Daniel Friedman
Member #3,517DeveloperL2InferAnt, Active Inference Institute
~ ~ "Act. Infer. Serve." ~ ~
How karma works. Everyone starts with 5. You get +1 each time another member upvotes one of your posts or comments (your own upvotes don't count), and lose it if they take the upvote back. Post what you're building, answer questions and help other members to earn more.
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Pinned projects
Active Inference and Free Energy Principle knowledge environment: a semantic knowledge graph linking concepts to simulation and experiment frameworks, interactive visualizations, and three learning tracks (40/35/30 hours) spanning AI, neuroscience, robotics, psychology and education. Python, Node, Docker.
active-inferencecognitive-scienceeducationfree-energy-principleknowledge-graph
Active Inference — A Synthetic Overview: executable teaching paper, numerical demonstrations, Lean proofs, and twenty-minute lecture.
active-inferencecomputational-modelingfree-energy-principlelean4reproducible-research
Modular Python coding and agent platform — LLM agents, graph RAG, static analysis, git ops, cloud and container deployment, all exposed as Model Context Protocol tools. uv-managed, with a zero-mock test suite.
agentsai-agentsautomationcode-analysiscoding-agent
Hybrid neurosymbolic AI framework in Python pairing a seven-level fractal symbolic reasoner with a PyTorch/Transformers probabilistic pathway, over persistent long-term memory. Seven modules: Fractal, Probabilistic, Memory, Unipixel, MMM cross-layer pattern mining, Code Execution, and PEFF ethics/security.
artificial-intelligencefractalhybrid-aimemoryneurosymbolic
daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API, question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill
Reproducible research publishing template for Python research projects: a declared pipeline, canonical exemplars, and multi-format outputs.
agents-mdai-agentscomputational-researchgithub-templatelatex
About
Daniel Friedman is the InferAnt at Active Inference Institute, an educational non-profit that supports people in learning and applying Active Inference. Daniel co-founded the institute and has served as its president, and has helped host more than 500 livestream sessions and study groups. Daniel also builds open source software for research and teaching, including a knowledge graph of Active Inference concepts and a neurosymbolic reasoning framework.
Categories
Experience
Researcher, Educator, Artist, Organizer
Associate Faculty · College of the Redwoods
President & Co-Founder · Active Inference Institute
Artist · Self-Employed
Partner · Remotor Consulting Group
Postdoctoral Researcher · University of California, Davis
Co-Founder & Organizer · Complexity Adventures
Co-Founder · FM Analytics
SC
Organizer · Stanford Complexity Group
