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Robots can learn new skills from just one video in under 30 seconds while retaining what they've already mastered鈥攖ransforming the landscape of robotic skill acquisition.
DMuon slashes training time for large models, achieving up to 163x faster optimizer steps while maintaining the benefits of matrix-aware updates.
By redefining action learning around semantic events, WALL-WM achieves unprecedented generalization across tasks and environments, outperforming traditional models.
