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全球 Token 消耗大增的受益者大模型公司们的财报可能是市场上最清晰易懂的财报，因为他们的商业模式足够简单，业务也并不复杂。只要模型能力足够强，用的人足够多，公司营收和利润就能持续增长。
。业内人士推荐体育直播作为进阶阅读
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.
Bahrain has said that one person was killed by shrapnel from an intercepted missile. The death of a foreign worker at Salman Industrial City, working on a boat there, marks the kingdom’s first reported fatality in the war.
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