Language Models

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Wednesday, 29 July 2026

What happens when you put AI to work deciphering lost languages?

Ars Technica 1 month ago 33

Researchers are applying AI techniques to decipher lost ancient languages like Linear A and Etruscan that lack bilingual reference texts or known linguistic relatives. Linear A, used by Bronze Age Minoans on Crete, has no confirmed connection to any known language, while Etruscan from pre-Roman Italy has only fragmentary vocabulary from funeral inscriptions. AI tools may help linguists discover patterns and meaning in these isolated writing systems without traditional decipherment anchors.

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Language Models AI & Academia Scientific Research

Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: Bidirectional Encoders That Stay Fast at 8K Context on CPU

MarkTechPost 1 month ago 31 ● 2 sources

Liquid AI released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, converted from their LFM2.5 decoder backbones to handle masked language modeling with 8,192-token context. The 350M model scores 81.02 on a 17-task benchmark, ranking fourth behind only larger models. These encoders enable cost-effective text classification and content filtering on CPUs without GPUs, suitable for edge devices and regulated environments handling long documents.

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Open-Weight Models Language Models

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