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MIT CSAIL and Tsinghua University researchers developed GeoPT, a pre-training approach that simulates physics for AI models. GeoPT trains on 1.3 million synthetic dynamics samples, reaching peak performance twice as fast and using up to 60 percent less data than leading models.
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