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Whatever you think about age verification as a requirement, it’s apparent that routine ID checks will create a huge new privacy concern across the Internet. Increasingly, users of most sites will need to identify themselves, not by pseudonym but by actual government ID, just to use any basic site that might have user-generated content. If this is done poorly, this reveals a transcript of everything you do, all neatly tied to a real-world verifiable ID. While a few nations’ age-verification laws allow privacy-conscious sites to voluntarily discard the information once they’ve processed it, this has been far from uniform. Even if data minimization is allowed, advertising-supported sites will be an enormous financial incentive to retain real-world identity information, since the value of precise human identity is huge, and will only increase as non-monetizable AI-bots eat a larger share of these platforms.，详情可参考Line官方版本下载
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Andrej Karpathy described the pattern: “I ‘Accept All’ always, I don’t read the diffs anymore.” When AI code is good enough most of the time, humans stop reviewing carefully. Nearly half of AI-generated code fails basic security tests, and newer, larger models do not generate significantly more secure code than their predecessors. The errors are there. The reviewers are not. Even Karpathy does not trust it: he later outlined a cautious workflow for “code [he] actually care[s] about,” and when he built his own serious project, he hand-coded it.
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