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Stanford CS329A posts nine lectures on self-improving AI agents on YouTube

1 article1 sourcesince Oct 12Last article 1h ago ·

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Stanford's CS329A course, Self-Improving AI Agents, has all nine lectures posted on YouTube, and lecture 1 has 520,000 views, according to a post by X user meng shao (@shao__meng).

The first lecture is taught by Aakanksha Chowdhery and Azalia Mirhoseini and covers pretraining scaling, RLHF, inference-time scaling, and agents.

The lecture names generator-verifier gaps as the main limit on agent capability. It says coding and deep research agents are the only fields showing early signs of open-ended autonomous loops.

Written by AI from the articles below · updated Oct 12, 1:16 AM ET

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Latest developmentOct 12, 1:09 AM ET
Stanford CS329A lecture 1 covers scaling, RLHF, and inference-time compute for agents

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Oct 12
  1. meng shaoX
    Stanford CS329A lecture 1 covers scaling, RLHF, and inference-time compute for agents

    AIStanford's CS329A course, Self-Improving AI Agents, has all nine lectures posted on YouTube, with lecture 1 at 520,000 views. The first lecture, taught by Aakanksha Chowdhery and Azalia Mirhoseini, traces the path from pretraining scaling to RLHF, inference-time scaling, and agents. It names generator-verifier gaps as the main limit on agent capability, and says coding and deep research agents are the only fields showing early signs of open-ended autonomous loops.

    Image from @shao__meng's post

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