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Browser font fallback determines the threat. When a page specifies font-family: Arial, Helvetica, sans-serif and a string contains Cyrillic а, the browser checks Arial’s glyph tables, finds Cyrillic coverage, and renders it using Arial’s Cyrillic glyphs — which are pixel-identical to the Latin ones. The CSS font stack you ship determines which column of the danger rate table applies to your users. Arial at 40.8% is a different risk profile from Didot at 19.2%.

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Would an AI model trained on such things be not just more authentically premodern, but more authentically aligned with implicit human values?

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or Ignore It

与大多数使用 JSON 的模型不同,FunctionGemma 拥有自己的格式和特殊标记。

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