solve physical labor

Joined April 2026
Build AI retweeted
I’ve left DeepMind to lead research at Build AI Our first bet: scale monocular vision. We haven’t even scratched the surface :D
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pre-trained on Egocentric-1M data!
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours, • this human data scaling law implied a scaling law on never seen robot data, • both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge 🧵
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we're releasing our flagship dataset along with $1 million of compute grants
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Egocentric-1M unlocks the next order of magnitude towards our goal of building the internet for physical ai.
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send a proposal! build.ai/research
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