A Kent woman said she was in "agony" after a botched Brazilian butt lift (BBL) left her with a "gaping wound".
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.
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Москвичей предупредили о резком похолодании09:45
Rank-1 linear, factorized embed, sinusoidal PE (period 11), ReLU carry detection, parabolic logit decoding
Using YouTube and TikTok to start a side hustle