Fleet Data Becomes the Robotics Moat

Projection: DeepMind’s VLA architecture learns across embodiments and tasks, making fleet experience potentially valuable; recursive multimodal research warns that reused generated data can degrade distributions and alignment. The moat is therefore governed interventions, failures, recoveries, and demonstrations—not volume alone. It is validated when new-site performance improves without recursive-data collapse.