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.
The blowback from Firefox's user base was intense enough that Mozilla later announced its intention to create an "AI off-switch" that would give users full control over whether to use AI features in the web browser or have them removed completely.，更多细节参见heLLoword翻译官方下载
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Count unique parameters (after weight tying/deduplication)
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