A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.

Drawn from what Dmitri Dolgov said

What this subject means

reinforcement learning Training by reward: environments, verifiable tasks, value functions, and whether it works or merely beats what came before.

Mental modelFeedback loops

What Dmitri Dolgov actually said

Dmitri Dolgov 3 Aug 2026 Co-CEO of Waymo and a founding member of Google's self-driving car project

So, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.

Where this was said
Watch from 42:20 plays here
↗Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Workyoutube.com

3 Aug 2026 · video · 49m · spoken · machine transcript

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