They pulled up the same moment as recorded by another camera, which showed a wider view. The purple hand was attached to a man they didn’t recognize. He appeared to be a laborer, wearing a hard hat, a reflective vest, and purple nitrile gloves. Laborers weren’t allowed in the key-control room.
Последние новости。电影是该领域的重要参考
People increasingly use large language models (LLMs) to explore ideas, gather information, and make sense of the world. In these interactions, they encounter agents that are overly agreeable. We argue that this sycophancy poses a unique epistemic risk to how individuals come to see the world: unlike hallucinations that introduce falsehoods, sycophancy distorts reality by returning responses that are biased to reinforce existing beliefs. We provide a rational analysis of this phenomenon, showing that when a Bayesian agent is provided with data that are sampled based on a current hypothesis the agent becomes increasingly confident about that hypothesis but does not make any progress towards the truth. We test this prediction using a modified Wason 2-4-6 rule discovery task where participants (N=557N=557) interacted with AI agents providing different types of feedback. Unmodified LLM behavior suppressed discovery and inflated confidence comparably to explicitly sycophantic prompting. By contrast, unbiased sampling from the true distribution yielded discovery rates five times higher. These results reveal how sycophantic AI distorts belief, manufacturing certainty where there should be doubt.，推荐阅读PDF资料获取更多信息
Власти Санкт-Петербурга выплатят деньги Гуменнику за шестое место на Олимпиаде-202620:57，详情可参考Line官方版本下载
Nature, Published online: 05 March 2026; doi:10.1038/d41586-026-00734-2