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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First, however, Sophia plans to begin by offering its TILEs to satellite operators that require compute solutions on orbit. Potential partners include Earth-observation satellites collecting large amounts of sensor data, missile warning and tracking systems that the Pentagon is investing billions of dollars to build, or even increasingly complex communications networks.