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Abstract: The mythical centaur (half human, half horse) has become a metaphor for human-AI collaboration. In this talk, I explore what centaur science looks like at the intersection of artificial intelligence and fundamental physics. I share adventures from both directions of this exchange: teaching machines to "think like a physicist" by incorporating physics principles into machine learning frameworks, and teaching physicists to "think like a machine" to maximize discovery opportunities in both experimental and theoretical physics.