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Forget massive human-curated datasets: a small, agent-synthesized dataset can train a 30B model to rival GPT-5 on AIME25.
Diffusion models can now achieve state-of-the-art performance in vision-language-action robotics tasks, rivaling and surpassing discrete and continuous action policies.
