A world action model can adapt to new hardware on thirty minutes of play data, where teleoperation takes weeks. It also runs at roughly 140 milliseconds per decision. Both facts are true, and together they explain why the deployment architecture matters more than the model.

The bottleneck in physical AI isn't compute or model architecture. It's that someone has to physically produce every demonstration a robot learns from. That constraint is about to break.