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Chelsea Finn

Chelsea Finn

@chelsea-finn · 22 positions · On ppll ↗

Assistant professor of computer science at Stanford, and co-founder of the robot foundation-model company Physical Intelligence.

Chelsea Finn did not write this page.

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3 of Chelsea Finn's claims fit 2 mental models. Most often: Bottlenecks, Emergence.

Models we see in what they say

Our reading: their claim applies the idea without naming it. The claim is theirs; filing it here is ours.

Bottlenecks

A system moves only as fast as its narrowest point; speed up anything else and nothing changes.

Used by 88 others

Robotics will not get a ChatGPT moment, because the distribution channel for a physical model is a physical robot and that cannot spread in five days.

  1. Chelsea Finn Assistant professor of computer science at Stanford I think that the distribution channel for physical models is going to be slower uh unfortunately because you actually need a physical robot there Chelsea Finn: This is the State of the Art in Roboticsyoutube.com · 12 Aug 2026 · 40:04 into the videoAll korrents from this video
    Their wordsI think that the distribution channel for physical models is going to be slower uh unfortunately because you actually need a physical robot there

    Where this was said

    Watch from 40:04 plays here

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

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

Robots are slow because the people teleoperating their training data were slow, so the only two ways out are faster data or a policy faster than its data.

  1. Chelsea Finn Assistant professor of computer science at Stanford and yeah, I think it's either you need to figure out how to make the data faster or you need to figure out how to be faster than the data. We've seen the evidence of being able to be a little bit faster than the data. Chelsea Finn: This is the State of the Art in Roboticsyoutube.com · 12 Aug 2026 · 53:53 into the videoAll korrents from this video
    Their wordsand yeah, I think it's either you need to figure out how to make the data faster or you need to figure out how to be faster than the data. We've seen the evidence of being able to be a little bit faster than the data.

    Where this was said

    Watch from 53:53 plays here

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

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

Emergence

Whole systems do things none of their parts do, and nobody has to design that order for it to appear.

Used by 22 others

Robot policies already show emergent capability: one transferred a skill from its right hand to its left with no such example anywhere in its training data.

  1. Chelsea Finn Assistant professor of computer science at Stanford Um the robot essentially had learned this sort of equivariance between his left hand and his right hand so that it could actually transfer uh behaviors from one hand to another. uh despite the fact that that was never in the data. Chelsea Finn: This is the State of the Art in Roboticsyoutube.com · 12 Aug 2026 · 55:27 into the videoAll korrents from this video
    Their wordsUm the robot essentially had learned this sort of equivariance between his left hand and his right hand so that it could actually transfer uh behaviors from one hand to another. uh despite the fact that that was never in the data.

    Where this was said

    Watch from 55:27 plays here

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

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