Micheal Lanham·20h agoPavlov’s Dog Would Make a Better Recommender Than Your LLM: Prediction Error for AI AgentsInstinctual Learning, Part 5 of 9: a taste table that learns from surprise, tested while it only listens.
InBongquisitive TechbySourav Mukherjee·1d agoTeaching AI Agents to Evolve Without Cheating: Inside Google Research’s RRSI FrameworkHow Regularized Recursive Self-Improvement optimizes prompts, tools, memory, and control flow around frozen LLMs, boosting…
Micheal Lanham·1d agoThe Sea Slug That Beat a 30,000-Token Context Window: Habituation for AI AgentsInstinctual Learning, Part 4 of 9: how a response that fades with repetition and returns after rest becomes a small, testable component…
Micheal Lanham·2d agoStop Making Your AI Agent Think So Hard: System 1, System 2 and the Two-Model HarnessInstinctual Learning, Part 3 of 9: most agent decisions are familiar, so make them fast and let the harness decide when deliberation is…
Micheal Lanham·3d agoLearning Isn’t One Thing: The 10 Mechanisms Evolution Built That Your AI Agent Is MissingInstinctual Learning, Part 2 of 9: name the mechanism behind a failure, and you know what to build and how to prove it learned.
