Latin Extended scores highest because phonetic extensions are deliberately designed to resemble their Latin base forms. Mathematical Alphanumeric Symbols dominate the dataset (806 of 1,418 pairs) but score low because ornate mathematical letterforms (script, fraktur, double-struck) look nothing like plain Latin in a different font. Arabic scores lowest: the letterforms are structurally different from Latin even when confusables.txt maps them as confusable.
在印度 Express Adda 的论坛上，Sam Altman 聊了很多 AI 话题，从 AGI 到中美 AI 竞争，再到数据中心用水问题。但最火的那段，是他回应 AI 能耗批评时说的：「人们总谈训练 AI 模型需要多少能源……但训练人类也需要大量能源，得花 20 年时间，消耗那么多食物，才能变聪明。」
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Он также назвал несправедливым вызов в комитет своей супруги Хиллари, подчеркнув, что она никогда не посещала объекты Эпштейна.
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