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
Eddy Xu retweeted
Introducing DeepRSI, a new industry standard for measuring recursive self-improvement.
On preexisting benchmarks, tasks are contributor-based and short-horizon (~12 hrs). In DeepRSI, we push agents to work 48 hours on ML tasks actually derived from ongoing proprietary research.
:D
Introducing Midcentury.
We’re building the data and simulation infra for physical AI.
Today, we’re coming out of stealth with a $15M Series Seed to scale robotics beyond polished demos.
We’re already supporting frontier labs with:
→ The world’s largest egocentric dataset: 2M+ hours, 50+ environments, 20,000+ tasks
→ Matrix: a frontier simulation platform scaled with our real-world data to evaluate and post-train policies at scale
Eddy Xu retweeted
Introducing Midcentury.
We’re building the data and simulation infra for physical AI.
Today, we’re coming out of stealth with a $15M Series Seed to scale robotics beyond polished demos.
We’re already supporting frontier labs with:
→ The world’s largest egocentric dataset: 2M+ hours, 50+ environments, 20,000+ tasks
→ Matrix: a frontier simulation platform scaled with our real-world data to evaluate and post-train policies at scale
