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Forget slow, expensive real-world trials: dWorldEval's discrete diffusion world model lets you evaluate robot policies across thousands of environments and tasks with unprecedented speed and accuracy.
Forget expensive real-world robot training: Hi-WM lets humans directly edit a robot's simulated reality, turning world models into powerful, reusable playgrounds for failure recovery.
Training speculative decoding models just got an order of magnitude faster, unlocking real-world deployment with a new open-source framework and a suite of production-ready draft models.