LLMs got the internet. Robots have to build their own internet.

That is the data problem Humyn Labs is going after.

@humynlabs is turning human experience into synchronized training data that robotics cannot readily scrape from the web.

A useful robotics dataset cannot just be hours of first-person video.
Humyn's samples pair human activity with signals such as IMU (inertial measurement unit), stereo depth, 6-DoF head pose, 21-point hand keypoints, wrist tracking, object tracking and dense action labels.

Some captures even synchronize a head camera with both wrist cameras and separate IMU streams.

So Humyn is trying to preserve enough structure around those human-demonstrations to make them useful: egocentric video, inertial measurements, hand and head pose, object trajectories, depth, narration and synchronized multi-camera views.