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Apple-PI Introduces First Benchmark to Test Whether Video Models Reason from Physical LawsApple-PI基准发布：首次检验视频生成模型是否基于物理定律真实推理

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Researchers introduce Apple-PI, the first benchmark that explicitly anchors video-generation-model evaluation in physical laws, addressing a gap in existing benchmarks, which judge only output-level physical plausibility without verifying whether the model reaches that output through a faithful, law-grounded reasoning process.
Apple-PI consists of three components, the first being Orchard, a dataset of 400 videos, built to test whether models produce physically plausible results via genuine physical-law reasoning rather than surface-level pattern matching.
Video models with a reliable internal grasp of physical law could serve as emerging world models, enabling more trustworthy physical reasoning about scene evolution and interactions.

研究人员发布Apple-PI基准，首次将视频生成模型评估明确锚定在物理定律上，弥补现有基准仅评估输出层面物理合理性、却不验证模型是否通过真实的、基于定律的推理过程得出结果这一空白。
Apple-PI由三个组成部分构成，其中之一是Orchard——一个包含400个视频的数据集，用于检验模型达到物理合理结果依靠的是真实的物理定律推理，还是表层的模式匹配。
拥有可靠物理定律内化能力的视频模型可作为新型世界模型，提升对场景演变与物理交互的预测和推理能力。

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