Recently, Zhiyuan, NVIDIA, Princeton University, University of Texas at Austin, and University of Toronto researchers jointly launched WorldOracle, the first action-driven world model evaluation platform benchmarked against real robot execution. The platform is now open for developer submissions. Unlike traditional evaluation methods that focus on video generation quality, WorldOracle assesses models' ability to predict physical interaction outcomes by comparing generated predictions against actual robot operation data. The platform currently includes 335 real manipulation trajectories covering tasks such as fruit grasping, towel hanging, pouring water, and drawer opening, with approximately 40% containing failed or suboptimal interactions.

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