for critical OSS through a community‑driven
«Ракеты из металлолома» и американские «Шахеды».Какое оружие Иран, Израиль и США применяют в ходе конфликта3 марта 2026
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.。电影对此有专业解读
两款新品均将在明晚 10:15 开启预购，并于 3 月 11 日正式发售。，这一点在快连官网中也有详细论述
For running untrusted code in a multi-tenant environment, like short-lived scripts, AI-generated code, or customer-provided functions, you need a real boundary. gVisor gives you a user-space kernel boundary with good compatibility, while a microVM gives you a hardware boundary with the strongest guarantees. Either is defensible depending on your threat model and performance requirements.。PDF资料是该领域的重要参考
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