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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。heLLoword翻译官方下载对此有专业解读
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进入 Meta 后，他在扎克伯格亲自组建的超级智能实验室负责 AI 基础设施工作。据他本人对同事的说法，在 Meta 干得挺开心，基础设施也给力。