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Robotics AI model race pits world models against VLA

Moves to develop AI models optimized for robots are accelerating, with two camps competing for technological leadership: vision-language-action models derived from large language models, and world models trained mainly on video to predict what will happen in real environments. The Information reported growing Silicon Valley interest in world models, though critics say they still make frequent errors. Some say VLA remains too slow and unreliable for broad production use.