@0xMovez: Don't waste 2 years figuring out how AI agents actually work. ex. Anthropic & Google engineers at Stanford just dropped…
Summary
A tweet highlights a Stanford lecture by Anthropic and Google engineers covering self-improving AI agents, agent loop patterns, and the generator-verifier gap.
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Cached at: 08/04/26, 12:07 PM
Don’t waste 2 years figuring out how AI agents actually work.
ex. Anthropic & Google engineers at Stanford just dropped a 1-hour lecture on self-improving AI agents:
• 00:00 - Introduction to self-learning AI systems • 31:22 - inside a LLM: self-correction, backtracking • 42:24 - goal → loops → graphs→ feedback: the Agent loop • 45:47 - 6 agent orchestration patterns • 50:37 - the generator-verifier gap - why self-improvement stalls
Planning, multi-step reasoning, self-correction. That’s the entire agent roadmap for 2026.
Bookmark this & give 70 minutes today. Then read the article below.
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