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Chelsea Finn

What Chelsea Finn thinks about LLMs

@chelsea-finn · 22 positions · On ppll ↗

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

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3 dated positions, 2026, in their own words. Our reading of what Chelsea Finn has said — not written or endorsed by them.

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  1. roboticsreinforcement learning

    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.

    ↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 4th of 22 in this recording

  2. But if you have to fine-tune a model, you actually aren't getting a general purpose model um for the things that you want it to do because you have to fine-tune it for each individual thing.

    ↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 9th of 22 in this recording

  3. robotics

    Uh and just like how we see in language models how now a lot of time is spent actually generating data, generating synthetic data by actually running the model and having it think through things. I think a lot of the data in the future in robotics is going to be the robot attempting to do lots of tasks in lots of real world circumstances.

    ↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 18th of 22 in this recording