Dyna Robotics releases world-action model trained on 1M hours of video

Dyna Robotics released Dyna-2, a world-action model pretrained on more than one million hours of egocentric human video. Its technical report establishes a scaling law for training on human video up to that scale and shows the law transfers to unseen robot data. The company says video co-training drives generalization across different robot embodiments.

Why it matters: Robotics has long been bottlenecked by the scarcity of real robot demonstration data compared to the vast supply of human video online. Dyna-2's finding — that scaling laws learned from human video transfer to robot performance — points to a path for training capable robot policies without proportionally scaling expensive teleoperated data collection, echoing how internet-scale pretraining unlocked progress in language models.