During the deposition, which was recorded last March, Zuckerberg was asked about numerous findings from researchers at Meta who studied how the company's apps affect users and teens. The CEO downplayed the significance of many of these documents.
«Такая задача уже была поставлена. Итоги ее исполнения подведем, как и договаривались ранее, в июне текущего года на Совете по стратегическому развитию и национальным проектам», — сказал глава государства.，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
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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.