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.
# Memory leak detection (10K queries with RSS trend)
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We asked Meta to elaborate on how sharing highly private material with subcontractors such as Sama in Kenya can be reconciled with its privacy policy. We posed the same questions to Sama. There was no response.
The increase in defense spending to 1.9 trillion yuan ($270 billion) comes against the backdrop of a widespread purge of military officials over corruption charges.
If neither of those options is taken, then tools that want to process