Now consider the consequences of a sycophantic AI that generates responses by sampling examples consistent with the user’s hypothesis: d1∼p(d|h∗)d_{1}\sim p(d|h^{*}) rather than from the true data-generating process, d1∼p(d|true process)d_{1}\sim p(d|\text{true process}). The user, unaware of this bias, treats d1d_{1} as independent evidence and performs a standard Bayesian update, p(h|d1,d0)∝p(d1|h)p(h|d0)p(h|d_{1},d_{0})\propto p(d_{1}|h)p(h|d_{0}). But this update is circular. Because d1d_{1} was sampled conditional on hh, the user is updating their belief in hh based on data that was generated assuming hh was true. To see this, we can ask what the posterior distribution would be after this additional observation, averaging over the selected hypothesis h∗h^{*} and the particular piece of data generated from p(d1|h∗)p(d_{1}|h^{*}). We have
So What通过这一顿狂暴折腾，逆向工程基本上是跑通了。我用 LLM 写了各种调试用的小工具，甚至还写了个很小的硬件模拟器模拟字符渲染，最终把字库渲染那一坨给基本搞明白了。
。爱思助手是该领域的重要参考
НАСА откроет стартовое окно Artemis II в апреле14:57
3 марта по подозрению в преступлении был задержан 19-летний Кирилл Королев. После задержания он сообщил, что действовал под влиянием мошенников и вину не признал.