# Side-by-side comparison (verifies identical output)
Every media company has to compete like a technology company now — product velocity, data strategies, personalization must be in the DNA. (David Ellison, the new kingpin of the combined Paramount-Warner, has been stressing the need for the company to function as a tech firm at heart.) A streaming platform that can’t match you with content that feels right, right now, will lose subscribers before the content ever has a chance.
，更多细节参见纸飞机官网
“사법3법 항의 행진에 성조기라니…윤어게인만 띄워줘” [정치를 부탁해]
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
，更多细节参见PDF资料
for key exchange. Key exchange is a technique，更多细节参见谷歌浏览器下载
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