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Foundation models can accelerate scientific computation, but only if they respect physical laws and safety limits, a challenge this paper tackles by deriving design principles for constrained scientific foundation models.
A 1000x larger video reasoning dataset reveals early signs of emergent generalization, offering a new foundation for training and evaluating spatiotemporal AI.
