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Manifold drift can lead to substantial misalignment in generative models, but ThermoDPO offers a powerful solution that anchors preference optimization to the pretrained data manifold.
Current state-of-the-art world models struggle to maintain spatial consistency and reliable state evolution over long-horizon interactions, as revealed by the new PlayWorld benchmark.
