Trump’s FTC backs off social media regulation despite finding that nearly 20% of America’s children are online for 4 hours or more

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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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India is Supabase’s fourth-largest source of traffic, accounting for about 9% of global visits, according to data from Similarweb, highlighting the potential fallout for the country’s developer ecosystem. The platform’s global traffic jumped more than 111% year over year to about 4.2 million visits in January. In India, visits rose roughly 179% to about 365,000, compared with a 168.5% increase in the U.S. to about 627,000.