Why Physical AI Is Far Harder Than Self-Driving: Hardware, Data, Degrees of Freedom
paigeinsf · x · 2026-10-11
Steven Cheng explains why Physical AI is much harder than autonomous driving despite cars being "robots with fewer degrees of freedom": driving benefits from a century of automotive hardware, supply chains, and manufacturing; tens of millions of cars sold yearly provide an existing data source; and the operating domain is more constrained. Paige adds that robotics' data and scaling laws resemble LLMs far more — and are much harder — while both share sim + field-test eval challenges.
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