Listen to the optimists, and the AI-driven economic boom is at the doorstep. The Penn Wharton Budget Model projects AI will add 1.5% to GDP and productivity over the next decade. Goldman Sachs says it could add up to three percentage points to productivity every year. By the mid-2030s, AI might increase work output by 20%, according to Vanguard.
Трамп высказался о непростом решении по Ирану09:14
，更多细节参见同城约会
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.
Материалы по теме: