AIBullisharXiv – CS AI · Jun 57/10
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The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show
Researchers demonstrate that video diffusion models internally encode physical plausibility without explicit training to do so, achieving 81% accuracy in decoding physical validity from model states. This finding suggests generative AI systems develop meaningful representations of physics as an emergent property of the denoising process rather than through supervised learning.