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.
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钱一蕾解释，在专项债券大规模用于隐性债务置换及清欠账款的背景下，新型政策性金融工具能有效弥补地方新增投资的资金缺口，改善因化债压力导致的投资增速下滑情况。。im钱包官方下载是该领域的重要参考
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2026-03-04 00:00:00:03014320710http://paper.people.com.cn/rmrb/pc/content/202603/04/content_30143207.htmlhttp://paper.people.com.cn/rmrb/pad/content/202603/04/content_30143207.html11921 彩云之南涌新潮 云南以实干交出高质量发展答卷