It’s based on ComposeFS, whose primary focus is ensuring data integrity. It relies on EROFS (Enhanced Read-Only File System) to guarantee that data won’t be corrupted and to store file metadata. It natively performs data deduplication and LZ4 compression.
Unless, as with Nava, we teach them.
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4. Best SSD: WD_Black SN7100
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.
Posted on 2026-02-24