Robotics has a data problem. Industry estimates put usable robot training footage at just ~100,000 hours, and every serious lab is racing to change that.
Join us for the first in a new SF series on robot learning, VLAs, world models, and the data engines behind physical AI.
We'll dig into how teams are sourcing and scaling human demonstration video to train VLAs, and where the next bottleneck really is.
Who this is for: For robotics founders, VLA/world model builders, and anyone betting on physical AI.
