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.
「我們常聽到有人說:『我跟人相處完全沒問題。』但後來他們才發現,自己其實不習慣與他人共享空間。」
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其二,资产质量的下行趋势值得警惕。
Block, the fintech group headed by Twitter cofounder Jack Dorsey, will cut its workforce by “nearly half” in one of the clearest signs of the sweeping changes AI tools are having on employment.,更多细节参见safew官方版本下载