Meanwhile in London, the stock market has hit a new record high.
His mother, Robyn, said that "not listening to my concerns is the main reason we're sat here without our son".
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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.
We see a divide in society between people who want AI to do impressive things with their photos and videos, and those who don't want AI to do anything with photos and videos because it's eroding our ability to believe that what we have seen is real, destroying the concept of photographic evidence.