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别让AI默认模型坑了你
数学家Adam Kucharski发现，当向Microsoft Copilot输入相同数据集但不同国家标签时，Copilot会编造不存在的国家差异，输出详细刻板印象而非准确结果。思考模型能识别这种把戏，但前提是用户知道何时使用它们。文章指出，在Copilot、Gemini等AI工具中保留默认模型选择可能导致错误结论，用户应主动选择适合任务的模型。
原文 · Decoder
Why you shouldn't leave model selection on default in Copilot, Gemini and other AI tools
When analyzing data, Microsoft Copilot invents country differences where none exist. Mathematician Adam Kucharski fed the tool identical datasets with different country labels, and Copilot delivered detailed stereotypes instead of accurate results. Thinking models catch the trick, but only if users know when to reach for them. The article Why you shouldn't leave model selection on default in Copilot, Gemini and other AI tools appeared first on The Decoder .