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Despite advancements in static image understanding, models falter in tracking dynamic world states over time, exposing critical gaps in spatial reasoning.
Diffusion LLMs betray their safety violations through "hesitation" in their intermediate generation steps, offering a new signal for lightweight, dynamic safety monitoring.
Despite their increasing role in scientific discovery, today's AI models are surprisingly bad at predicting which scientific breakthroughs will actually happen and when.
