They’re each responsible for detecting many hundreds of compiler
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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.
It’s a combustive, disorienting moment in the history of media and technology, when lines in the sand are being drawn by both journalists and their audiences. And the Ars fallout underlines a phenomenon we’ve seen again and again, as even people who are deeply familiar with AI and its shortcomings can end up relying on it at a critical moment — and in the process, fall victim to something much older than generative AI: human error.
‘I know what I did, and more importantly, what I didn’t do,’ former US president says after six-hour deposition