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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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Anthropic was the only AI company cleared for use in classified settings—until Elon Musk’s xAI agreed to let the Pentagon use its AI in lawful situations. Google and OpenAI are used in unclassified settings but are in talks with the Defense Department about classified work.

node tools/py2ts.cjs input.py -o output.ts

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