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.
尽管这份承诺暂不具备法律约束力，但在美国政府“降低民生成本”的政治基调下，在全美电网逼近极限、AI用电呈指数级爆发的现实压力下，这一纸公开表态，已经成为悬在全球科技巨头头上的刚性约束。。关于这个话题，旺商聊官方下载提供了深入分析
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