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Streaming VLMs can now internalize long-term history as evolving LoRA weights, bypassing context window limitations and achieving superior performance on video understanding tasks.
DRIFT transforms the generative modeling landscape by simplifying the optimization of continuous outputs, leading to superior performance in both perception and robotic control tasks.