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A real-time generative world model can synthesize complex driving scenarios that traditional simulators struggle to capture, enabling safer and more effective evaluation of autonomous vehicle policies.
Fast weight models can now achieve significantly better long-context performance thanks to a new RL training framework that moves beyond next-token prediction.