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Even state-of-the-art MLLMs fail to grasp intuitive visual reasoning, scoring less than 60% on tasks humans solve effortlessly at a glance.
State-of-the-art text-to-image models, despite photorealism, still exhibit pervasive world-consistency failures that existing metrics miss.
