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Ken Goldberg: Good Old-Fashioned Engineering Can Close the 100,000 Year “Data Gap” in Robotics

30K views · Apr 1, 2026 · Science & Technology

Comments · 33

  • @Patrick-k4v2q · 5 months ago

    Crazy guy holds the patterns because he didn't want his friends to lose thier warehouse jobs

    7

  • @habib__slim · 5 months ago

    Image and video models nailed recognition and generation on ~30 years of data — the "100,000 years" is pure marketing, not a real ceiling.

    1

  • @Patrick-k4v2q · 5 months ago

    You know those pallet jacks, slap some tracks on it and throw a picker arm on it and you got a little movable self loading pallet maker that can load itself into a truck and drop off a pallet. But its patented

    2

  • @saaaaaa55 · 5 months ago

    System points drives home considering the new blog by generalist where they call their gen1 a system rather than just a model

    2

  • @JessyPulido-x8i · 5 months ago

    This was exactly what I needed, thanks!

  • @kvasios · 5 months ago

    Great lecture. Great Q&A.

  • @CompassionOfMind · 2 months ago

    Data is not all you need. Intelligence is all you need. If a machine could not respond to dynamically changing signals, it has no intelligence.

  • @깐알밤-o7e · 5 months ago

    Data-driven system modeling has become such an obvious default that it barely feels interesting anymore. From a robotics perspective, this research direction already feels played out. So when AI folks keep demanding domain-specific data and knowledge be handed over, it honestly just feels like they want an easy shortcut to profit.

    2

  • @bbgrey4828 · 6 months ago

    Gem.

    1

  • @CompassionOfMind · 2 months ago

    <a href="https://www.youtube.com/watch?v=UbsJilr7jLo">https://youtu.be/UbsJilr7jLo</a> - Does deep learning work for AI?

  • @JealousNicolas · 5 months ago

    Thanks for sharing this, learned a lot.

    1

  • @ToTheMarsBaby · 5 months ago

    10k people dedicating 33% of there life to achieve data in robotics comparable to todays LLMs

    2

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