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.
Part of the explanation for why so few users will need to verify their age is that Discord already uses an internal "age determination" system that looks at "how long your account has existed, whether you have a payment method on file, what types of servers you're in, and general patterns of account activity."
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