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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