ЦРУ поставит оружие курдским отрядам для боевых действий против Ирана08:32
“A war that, in theory, was said to be waged to eliminate Saddam Hussein’s weapons of mass destruction, bring democracy, and guarantee global security, but which, in reality, seen in retrospect, produced the opposite effect. It unleashed the greatest wave of insecurity our continent has suffered since the fall of the Berlin Wall.”
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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
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Фото: Ilya Moskovets / URA.RU / Globallookpress.com