Fintech company Block lays off 4,000 of its 10,000 staff, citing gains from AI

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19:21, 27 февраля 2026Ценности

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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.

「在過去九個月中,沒有非法移民被允許進入美國」

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