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Current multimodal large language models struggle with active visual observation, achieving less than 11% accuracy on a benchmark designed to measure this critical capability.
Text-to-image models wash away the unique stylistic fingerprints of their captioning counterparts, revealing a surprising disconnect between text and image generation.
