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RadialB says when he generates the AI content he doesn't intend for the people portrayed to be a certain race or ethnicity, but just uses the prompt "roadmen wearing puffer jackets, track suits, and balaclavas" because that makes the "funniest" characters.

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.

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He said it was hoped the scheme could be expanded into island-wide services, with the pilot offering health and care services "a blueprint" to roll it out in other areas.

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