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.
US president accuses Tehran of failing to ‘negotiate in good faith’ over its nuclear programme
，这一点在爱思助手下载最新版本中也有详细论述
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庞若鸣的出走，恰好在这个节骨眼上发生，难免让外界对 Meta 超级智能实验室的前景多打几个问号。硅谷不相信忠诚，最顶级的 AI人才争夺战，也远未到终局。至于小扎能否得偿所愿，我们很快就会知晓。