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Autoregressive video pretraining unlocks the full potential of long contexts for real-time robot control, boosting success rates by 15% and enabling complex manipulation previously impossible.
Over-eagerly adapting VLMs for robot control can actually hurt performance, suggesting the original VLM representation already encodes surprisingly useful action priors.