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AI has been eating up the world's supply of memory and companies like Micron have even abandoned their consumer brands to focus entirely on B2B supply. Other components like GPUs have also been feeling the pressure.
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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.。关于这个话题，同城约会提供了深入分析
Alison Francis,Senior Science Journalist