把孩子成长比作「模型训练」，本质上是把人降格成「低效生物计算机」，这不只是逻辑问题，更是价值观滑坡。网上很多人直接说「这不是比喻选错了，而是把尊严换成效率的典型技术官僚思维」。
This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
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1L decoder, d=7, 1h, ff=14
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"One of the challenges is marrying that really high-technology, high-innovation space with the realities of food production," Everstine comments. It's just not practical to test everything.