«Европа бьет сама по себе». Страну НАТО заподозрили в организации атаки на российский газовоз. Новые подробности атаки на судно20:45
$ cat /tmp/seed /tmp/a0，更多细节参见PDF资料
。谷歌浏览器【最新下载地址】是该领域的重要参考
parentPeer: { kind: "channel", id: "parent-channel-123" }, // 父频道
В России допустили «второй Чернобыль» в Иране22:31。电影对此有专业解读
We provided a mathematical analysis of how a rational agent would respond to data generated by a sycophantic AI that samples examples from the distribution implied by the user’s hypothesis (p(d|h∗)p(d|h^{*})) rather than the true distribution of the world (p(d|true process)p(d|\text{true process})). This analysis showed that such an agent would be likely to become increasingly confident in an incorrect hypothesis. We tested this prediction through people’s interactions with LLM chatbots and found that default, unmodified chatbots (our Default GPT condition) behave indistinguishably from chatbots explicitly prompted to provide confirmatory evidence (our Rule Confirming condition). Both suppressed rule discovery and inflated confidence. These results support our model, and the fact that default models matched an explicitly confirmatory strategy suggests that this probabilistic framework offers a useful model for understanding their behavior.