Accelerate!
a year ago, @buildpbc made a bet that human data scaling was the bottleneck to solving physical labor
it turns out this was a pretty good bet.
the next stage of this competition is driven by research. as such, i've promoted my co-founder and chief scientist @patrickrim to ceo!
patrick is a crazy man dressed up as a thoughtful researcher. once you talk to him, you'll see what i mean :)
data companies with exceptional researcher CEOs have critical advantages across hiring, sales, and data quality.
in the last 60 days, patrick:
- pushed sota on 3d pose (from scratch)
- built an outlier eng & research team in lightspeed
- assembled the largest academic consortium in physical ai
- won the largest contract in build's history
if things unfold as i predict, patrick will go down as an N-of-1 founder of our generation.
-eddy
founder & president, build ai
Zikang Jiang retweeted
a year ago, @buildpbc made a bet that human data scaling was the bottleneck to solving physical labor
it turns out this was a pretty good bet.
the next stage of this competition is driven by research. as such, i've promoted my co-founder and chief scientist @patrickrim to ceo!
patrick is a crazy man dressed up as a thoughtful researcher. once you talk to him, you'll see what i mean :)
data companies with exceptional researcher CEOs have critical advantages across hiring, sales, and data quality.
in the last 60 days, patrick:
- pushed sota on 3d pose (from scratch)
- built an outlier eng & research team in lightspeed
- assembled the largest academic consortium in physical ai
- won the largest contract in build's history
if things unfold as i predict, patrick will go down as an N-of-1 founder of our generation.
-eddy
founder & president, build ai
Zikang Jiang retweeted
Today we introduce Kairos 1: the world's first model built to simulate individual human behavior. Frontier models only understand population averages, ignoring the individual differences that make us human.
Kairos beats Persimmon, Astra, Fable, and Gemini across 13 simulation benchmarks.
Zikang Jiang 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
Zikang Jiang retweeted
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
🧵
