自2018年5月特朗普（Donald Trump）讓美國退出伊朗核協議並重啟廣泛制裁以來，伊朗貨幣在公開市場對美元價值已貶逾95%。
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I use mostly vanilla tmux to navigate: Ctrl-b n/p to cycle windows, Ctrl-b , to rename them (planner, worker-fd038, PM), Ctrl-b c to spin up a new agent, Ctrl-b s to browse sessions. A few custom additions: Shift-Left/Right to reorder windows, m to move a window between sessions, and renumber-windows on so closing a tab doesn’t leave gaps.
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.，详情可参考谷歌浏览器【最新下载地址】
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