Publication date: 10 March 2026
I swapped out gpt-4o-mini for Groq’s llama-3.3-70b, and the results honestly surprised me:
。关于这个话题，51吃瓜提供了深入分析
Дональд ТрампПрезидент США。WPS下载最新地址是该领域的重要参考
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.
* 时间复杂度: O(n²) 最好: O(n) 空间复杂度: O(1) 稳定: ✓