General Intuition: using games to train real‑world agents — $320M at a $2.3B valuation

Folks, quick AI update: startup General Intuition raised $320M at a $2.3B valuation, betting on games as a data source for general agents.

- The company uses Medal clips labeled with actions (button inputs) to pretrain world models.
- Demonstrations: a game agent controls a quadruped; only ~8 minutes of real data were needed to fine‑tune a physical robot.
- Round led by Khosla; funds will scale compute and launch an API by summer. The company limits military use.

Why it matters: a scalable sim‑to‑real pathway could speed robot development for logistics and rescue.

How applicable is this approach to your industry?
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