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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，详情可参考51吃瓜
2 月份的最新数据显示，MiniMax、月之暗面（Kimi）、DeepSeek 等中国模型在全球范围内迎来显著增长。
18:53, 27 февраля 2026Наука и техника。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读