Россиян предупредили о возможном подорожании товаров из-за конфликта на Ближнем Востоке08:42
Trust in the tech sector is also fragile. A recent multi-country European survey found fewer than half of respondents feel positive about businesses deploying new technologies, while an overwhelming majority say they worry about their privacy when using digital services. Citizens are not indifferent to who controls the platforms they rely on; they are increasingly cautious about it.
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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。关于这个话题，PDF资料提供了深入分析
It’s time to pull the plug on plug-in hybrids