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.
“My belief [is] that coming out with a fresh mind, first principles, is important. That’s why young people are particularly helpful in tech, because they’re less biased,” Amper recently told Fortune. “I think too much knowledge is actually bad in tech: You’re biased.”
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Medium difficulty hints, answers for Feb. 26 PipsNumber (10): Everything in this space must add up to 10. The answer is 5-5, placed horizontally; 5-4, placed horizontally.
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