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Client averaging may suppress leading biases, but a hidden second-order bias persists, challenging assumptions in distributed optimization.
TurboVLA achieves 97.7% success in robotic manipulation while using less than 1 GB of VRAM, challenging the dominance of LLM-centric approaches.
