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Simulation

Simulation is becoming part of the decision-support stack

Microsoft's February 19 introduction of Muse presents an artificial intelligence (AI) model capable of generating video-game visuals and controller actions. It is trained as a World and Human Action Model (WHAM), learning both how an environment changes and how people act within it.

Gaming is the immediate application. The larger signal is that generative simulation is moving closer to an interactive design material.

World models need worlds worth trusting

Robots and autonomous vehicles need experience. The hard question is where that experience should come from when real-world data is expensive, dangerous, rare, or incomplete.

NVIDIA's January 6 announcement of Cosmos world foundation models offers one answer: generate and manipulate simulated physical environments at scale. The company presents the platform as infrastructure for training and evaluating physical artificial intelligence (AI) systems, including robotics and autonomous vehicles.

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