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Reinforcement learning cannot be scaled for robots the way it was for language models, because every attempt spends real robot hours instead of data-centre compute.

Drawn from what Chelsea Finn said

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.

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What Chelsea Finn actually said

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  1. Chelsea Finn

    Assistant professor of computer science at Stanford

    Now maybe this isn't completely out of the question but this would be quite challenging uh to do and that's because the calculus is a little bit different. We're not just running compute to optimize for a use case. We're actually running the robot in the real world and using the hardware and attempting the task in the real world.

Added to korrents 12 Aug 2026 · How quotes work · Something wrong? Tell us

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