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Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot.

Drawn from what Sergey Levine said

Subjectsroboticscomputer vision
What these subjects mean

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

computer vision Teaching a machine to interpret images: recognising, classifying and organising what is in a picture.

What Sergey Levine actually said

  1. Sergey Levine Professor of computer science at UC Berkeley
    Uh and its perception is in service to fulfilling that purpose. And that is like a really great uh focusing factor. We know that for people this really matters. Like literally what you see is affected by what you're trying to do.

    Where this was said

    Watch from 0:35:45 plays here

    ↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com

    12 Sept 2025 · video · 1h 28m · spoken · machine transcript

    All 24 korrents from this recordingthis one is 13th

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

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