Physical AI doesn’t just need intelligent models. It needs experience. And that experience comes from data. This is what drew my attention to @axisrobotics: 150K+ contributors 3.7M+ trajectories 42K+ hours of data 4K+ active tasks Each trajectory is a lesson. Each task is a new scenario. Each contributor expands the range of environments the robot can learn from. Models can be upgraded. But a large, sufficiently diverse real-world dataset is not easy to replicate. If Physical AI truly enters everyday life, I believe the data layer will become one of the biggest competitive advantages. Model = intelligence. Data = experience. And @axisrobotics is building the part I believe is harder to copy.
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