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Physics AI and physical AI sound like cousins, but Luminary CEO Pete Schlampp draws a useful distinction: one predicts how the physical world will behave; the other helps machines act in it.

Schlampp says large physics models learn from physics-based simulations and can predict how a new design behaves in seconds, rather than waiting hours or days for conventional simulation. He points to applications including battery design, vehicle aerodynamics and fusion research. That could let engineers test more ideas before building anything. The catch is that the performance figures and examples come from Schlampp’s contributed article, not independent verification.

Discuss: Is faster AI simulation ready to guide real engineering decisions, or should conventional tests remain in the driving seat?

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