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.
5年来，中央财政衔接资金累计用于产业发展占比超过60%，指导832个脱贫县编制实施“十四五”特色产业发展规划，分类推进帮扶产业提质增效、全链条开发。
，详情可参考搜狗输入法2026
The French university where spies go for training。关于这个话题，heLLoword翻译官方下载提供了深入分析
目前该业务的内部目标估值定为 10 亿美元以上，由于探讨尚处于早期保密阶段，最终交易形式与能否达成仍存变数。
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