Show HN: Hyper Compress: The Best Open Source PDF Compression Engine
Article URL: https://github.com/alam00000/bentopdf-hyper-compress Comments URL: https://news.ycombinator.com/item?id=50416782 Points: 1 # Comments: 0
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Familiar letters, not related languages, let unseen languages into a shared space of meaning
arXiv:2611.06006v1 Announce Type: new Abstract: Hundreds of languages have written text but almost no translations, and whether a model learning one from untranslated text builds on a related language or familiar letters is unclear: they usually coincide. Here we show that familiar letters, not a related language, let an unseen language into a shared space of meaning. GlyphMind, a tokenizer-free vision transformer that reads text as pixels and lets any sentence be shown in any script, was pretrained to align translations across 27 writing systems. Adapted on untranslated Lao, a language and script it had never seen, it retrieved English translations seven times as often as the strongest simple baseline. Rewritten in unfamiliar letters, Lao did not enter although its close relative Thai was in pretraining; Santali, which had none, entered in Devanagari, familiar from Hindi, but not in its own script. Transliteration into familiar scripts may thus open multilingual models to languages without translations.
Introducing Geist Serif
Vercel has launched Geist Serif, a high-contrast display serif typeface designed as part of the Geist family, which includes Geist Sans, Geist Mono, and Geist Pixel. Built on the same foundational principles as its predecessors, Geist Serif features fine serifs, sharp hairlines, and a variable axis called Element Shape (ELSH) offering four dot variants: Regular, Square, Triangle, and Heart. It maintains consistent x-height and cap height with Geist Sans for seamless integration across layouts. The font supports 352 Latin-script languages, includes 894 glyphs, and is available via npm and Vercel’s font platform. Future updates will include additional weights, an italic variant, Cyrillic support, and availability on Google Fonts. The release marks a shift toward editorial and fashion-inspired design, honoring print traditions while leveraging modern screen capabilities.
No Tokenizer, Still a Gap: Cross-Lingual Fairness of Homoglyph and Invisible-Character Watermarking
arXiv:2610.36432v1 Announce Type: new Abstract: Homoglyph and invisible-character watermarks are edit-based watermarks. Instead of changing how a model generates text, they hide a signal in the text after it is written. They swap some characters for homoglyphs, which look the same, or very similar, but have different Unicode code points, or they insert characters that do not display, all without access to the model that wrote the text. Generation-time watermarks work less well for lower-resourced languages due to how tokenizers split their text. Because they work on individual characters, these watermarks never touch a tokenizer, so we ask whether they escape this gap. Across 40 language varieties in 24 scripts, we measure capacity (the hidden bits each character can carry), how much of it