JEPA is Yann LeCun's framework for world modeling: predicts abstract representations, not pixels. Covers I-JEPA, V-JEPA, VL-JEPA, LeJEPA, and physical AI.
How AI systems are beginning to automate coding, experiments, evaluation, and research workflows ‒ and why Anthropic, Recursive, and Sakana AI show the first real steps toward AI that improves AI
FOD#156: What is the harder human-capital problem beneath token capital?
Token capital is the AI capability a firm builds and owns. Satya Nadella argues it must compound with human judgment — or companies cede value to dominant AI models.
AI 101: From Prompt Engineering to Skill Engineering
A clear guide to skill engineering for AI agents with free fresh methods: SkillOpt, SkillOps, and SkillMOO for training, maintaining, and optimizing skills
FOD#155: Continual Learning in LLMs: Why AI Models Need Sleep
Continual learning explains why AI models need a sleep phase — to consolidate experience without catastrophic forgetting. Covers LoRA, Nested Learning, and LLM memory.