RoboJEPA's reported scaling laws link compute to robot-planning performance

The RoboJEPA team reports that its world model’s prediction error falls predictably as training compute increases, while robot-planning performance improves. It also describes zero-shot planning toward a goal image on real robot hardware. The team says it will release model checkpoints and training and deployment code.