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The headline: 96.5% of confusables.txt is not high-risk，更多细节参见Safew下载
GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.，推荐阅读爱思助手下载最新版本获取更多信息
In an article on Monday, Sir Keir said he wanted to "crack down on the addictive elements of social media" that "keep our children hooked on their screens for hours".