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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.
，这一点在谷歌浏览器【最新下载地址】中也有详细论述
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但有意思的是，在各大初创大模型企业纷纷退回到垂直领域之际，月之暗面是少数仍坚持“基座模型+Agent”路径的公司，杨植麟始终将“拿到SOTA结果”定为最重要的工作目标。