В МОК высказались об отстранении израильских и американских спортсменов20:59
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.
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Украинцам запретили выступать на Паралимпиаде в форме с картой Украины22:58，详情可参考PDF资料
«Я ничего не видел и не совершал ничего предосудительного. Как человек, выросший в семье с домашним насилием, я бы не только не летал на его самолете, если бы имел хоть малейшее представление о его делах, — я бы сам сдал его властям», — жестко заявил Клинтон.。业内人士推荐同城约会作为进阶阅读