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· · 来源:dev资讯

这系列能力,会让 Agent 去学习 AI 平台的推荐规律,替代过往的人工去“猜测”平台投放测录的过程。

The derivative trap: If the AI output is considered a derivative of the original LGPL code, the “rewrite” is a license violation.

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The cost of this bias becomes clear when we compare the sycophantic conditions to the Random Sequence condition. Participants who received random sequences that fit the rule—unbiased samples from the set of even numbers—discovered the rule nearly five times as often as those in the Default GPT condition (29.5% vs. 5.9%). This implies that the harm of sycophancy is that it systematically omits the data that would naturally conflict with a user’s narrow hypothesis. A long literature in behavioral science demonstrates that humans already tend towards evidence that confirms their beliefs; sycophantic AI compounds this tendency by removing the friction of reality. The Random Sequence condition forced users to grapple with numbers that fit the true rule but violated their expectations; the sycophantic AI ensured they never had to.,推荐阅读服务器推荐获取更多信息