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Directly learning robot action policies from raw video without explicit action labels unlocks scalable world action models.
Ditching the vision encoder actually *improves* multimodal understanding at scale, proving that pixel embeddings alone can achieve state-of-the-art results in unified multimodal models.
Imagine designing custom fonts simply by describing them or providing a reference image – VecGlypher makes it a reality by directly generating editable vector glyphs with a single multimodal language model.