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OPD's unique update geometry reveals that it operates in a low-dimensional channel, fundamentally altering our understanding of model training dynamics.
LLM agents struggle to maintain performance in multi-day collaborative tasks, dropping significantly after just one environmental update, revealing a critical gap in adaptation to evolving real-world conditions.
