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.
Take this as an aspiration for how things could be, not a tutorial or promise.
，更多细节参见搜狗输入法2026
🤖 第四步：配置 AI 模型 (以 Qwen 为例)，详情可参考同城约会
Компания AeroVironment и Армия США заключили соглашение о поставке дронов-камикадзе семейства Switchblade, которые испытывали на Украине. Об этом сообщает Defense News.。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读