How Tesla FSD Uses AI to Learn Human Driving

Autonomous driving systems combine perception, fleet data, prediction, planning, and on-device control. More data does not automatically produce safer behavior: labels, edge cases, evaluation design, and the gap between simulation and roads matter just as much.nnThe useful lens is a closed learning loop with measurable failure modes, not a single demo or marketing claim.

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