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Looks could be good, but they also can be bad, and then you are stuck with platform-consistent, but generally bad UI (Liquid Glass ahem). It changes too often, too: the app you made today will look out of place next year, when Apple decides to change look and feel yet again. There’s no native look anymore.
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Understanding the potential epistemic impact of sycophantic AI is an important challenge for cognitive scientists, drawing on questions about how people update their beliefs as well as questions about how to design AI systems. We have provided both theoretical and empirical results showing that AI systems providing information that is informed by the user’s hypotheses result in increased confidence in those hypotheses while not bringing the user any closer to the truth. Our results highlight a tension in the design of AI assistants. Current approaches train models to align with our values, but they also incentivize them to align with our views. The resulting behavior is an agreeable conversationalist. This becomes a problem when users rely on these algorithms to gather information about the world. The result is a feedback loop where users become increasingly confident in their misconceptions, insulated from the truth by the very tools they use to seek it.
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第四十五条 违反本章规定的海上货物运输合同和作为合同证明的提单或者其他运输单证中的条款,以及将货物的保险利益转让给承运人的条款或者类似条款无效。此类条款的无效,不影响该合同和提单或者其他运输单证中其他条款的效力。