Honor launches its new slim foldable Magic V6 with a 6,600 mAh battery

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Иранская подлодка проекта «Варшавянка» (по кодификации НАТО — Kilo) российского производства уцелела после удара США по военно-морской базе Бендер-Аббас в Иране, пишет издание TWZ.

AI Fundamentals: From Basics to Generative AI

Apple migh,这一点在WPS下载最新地址中也有详细论述

带着这个思路,乔忠良创办小雨智造,目标是“一脑多形”:用一个多模态具身智能大脑,驱动单臂、轮式双臂、以及人形等不同形态的机器人。

Пьяный турист нанес тяжелую травму участвовавшей в Олимпиаде сноубордистке20:38

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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.