korrents

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One pre-trained robot model now matches or beats the specialists that were fine-tuned with reinforcement learning for the very tasks they were built for.

Drawn from what Chelsea Finn said

What these subjects mean

scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.

robotics Machines that act in the world: humanoids, training data for robots, and how far behind language models they run.

reinforcement learning Training by reward: environments, verifiable tasks, value functions, and whether it works or merely beats what came before.

What Chelsea Finn actually said

  1. Chelsea Finn Assistant professor of computer science at Stanford
    we see that the across the board the single PIO like pre-trained PIO7 model matches or outperforms the fine-tuned specialists that were developed with reinforcement learning post-training for those downstream tasks.

    Watch from 30:42 plays here

    ↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com

    12 Aug 2026 · video · 58m · spoken · machine transcript

    All 22 korrents from this recordingthis one is 11th

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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