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Microsoft Research finds clearing chat history improves AI agent performance by 66 percent. The 'Fork-and-Flush' method tested on 13 tasks using GPT-5.6-terra and GPT-5.5 models achieved a normalized average score of 0.78, compared to 0.47 for single runs. Researchers note this gain persists even with substantially more compute, suggesting context resets remain useful for frontier research agents.
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