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Researchers at Anthropic tested autonomous agents in a simulated trading market to swap books among employees. While agents negotiated trades effectively, their accuracy was limited by vague initial descriptions of user preferences. Providing detailed information about personal tastes significantly improved how well the software represented human choices.