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Training how an agent talks without changing what it knows. Judge scores the manner, code checks no required fact was dropped. • 9 items • Updated
Agents make mistakes. Those mistakes are the most valuable training data there is. Only While. turns them into a dataset, post-trains an open model on it with SFT and RL, and proves the agent stopped repeating them on a held-out test.