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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.
，这一点在雷电模拟器官方版本下载中也有详细论述
英伟达的股价困境，不是AI行业的终点，而是市场对AI产业从“宏大叙事”回归“微观盈利”的必然调整：当投资者不再追问“模型参数有多大”，而是开始关注“每个Token能赚多少钱”时，AI行业真正的价值投资才正式开始。
“不疼，可以缓解疲劳。这是我第二次来了。”