传感器精度、算法迭代、路测情况,这些无疑是必备的硬实力。但是,当技术嵌入一座城市的毛细血管,成为公共基础设施的一部分,企业就必须具备与之匹配的风险驾驭能力。
В октябре 2025 года сообщалось, что в Бразилии поймали гламурную серийную убийцу. За пять месяцев она расправилась с четырьмя мужчинами.
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Nasa said the launch of Artemis III will take place "no earlier than" 2027. But, experts believe 2028 is the earliest possible date.
8点1氪丨阿里高管紧急开会答疑,回应千问模型负责人林俊旸卸任;大钲资本收购蓝瓶咖啡;马云和阿里蚂蚁核心管理层在云谷学校交流AI
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.