Dyna just dropped a world model for robotics achieving a new record for scale of pretraining using human video data - 1 million hours This is 2 orders of magnitude larger than NVIDIA's Egoscale dataset (~20k hours) They established scaling laws parallel to the scaling laws identified in GPT-3. Pretraining on more human video data increased robot performance and generalization across 4 orders of magnitude Most importantly, the scaling fit power laws with no plateau(Andrew Kang)