Brain-Inspired Natural AI: Unlocking Intelligence
summary
Claims a concrete route from the Free Energy Principle to low‑power, online‑learning agents and supplies an actual toolbox RXInfer (Julia) that automates free‑energy minimization. Gives numbers: GPT4 ~a trillion params and a reported experiment compressing a 600‑parameter model down to 2 parameters, cites 5‑day million‑user adoption, and names robot vacuum and drone applications as prototypes. Evidence is early R&D and mostly conceptual but includes code on GitHub and a working inference library, so watch if the Free Energy Principle or an open‑source Julia implementation matters.
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chapters (8)
- 0:00Introduction
- 2:11Generative AI limits
- 7:10Free energy principle
- 10:02Unifying AI theories
- 12:10Natural AI hype cycle
- 14:38Lay Dynamics toolbox RXInfer
- 17:27Q&A reinforcement learning
- 20:38Black box explainability
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