The Beijing Academy of Artificial Intelligence trained Orca on 125,000 hours of video without using any action labels. The model predicts abstract world states rather than pixels. It matches the specialized π0.5 across five robotics tasks. This approach reduces the reliance on expensive labeled datasets for training autonomous physical systems.