In Focus takes one important story from the Physical AI world and explains it in depth: what happened, why it matters, and what it changes about how robots are trained and tested.
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Meta reportedly built a household humanoid prototype with Fourier in about three months. The faster a robot body comes together, the more its value rests on the data that teaches it how a home works.

Physical Intelligence's API beta takes over fine-tuning and inference. The more telling part is how its early partners improved their robots: by letting each failure decide what to record next.