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Dwarkesh Patel

What Dwarkesh Patel thinks about reinforcement learning

@dwarkesh-patel · 14 positions · On ppll ↗

Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.

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2 dated positions, 2026, in their own words. Our reading of what Dwarkesh Patel has said — not written or endorsed by them.

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  1. In fact, aggressive data curation is even more harmful once you take into account that frontier models are up to 100x overtrained relative to Chinchilla optimal, in order to minimize the inference compute used for RL and for deployment.

    ↗Dwarkesh Podcastdwarkesh.com 3rd of 3 in this piece

  2. 2 months earlier
  3. AGI

    if we train AIs to accomplish millions of verifiable tasks across thousands of diverse RL environments, then we'll basically have built AGI.

    ↗Dwarkesh Podcastdwarkesh.com 1st of 3 in this piece