#translation

A r/LocalLLaMA post is not a formal benchmark, but it captured the community mood: local models can be attractive when hosted models drift, filter unexpectedly, or change behavior across updates.

Cohere said on March 25, 2026 that its frontier AI models now power RWS Language Weaver Pro for high-stakes enterprise and government translation workflows. RWS says the product is a 100+ billion parameter model built with Cohere, ranked first in 31 of 32 languages in its benchmarks, and outperformed DeepL and Gemini on sentence-level and paragraph-level tests.

Cohere said on March 25, 2026 that it is partnering with RWS to bring its frontier AI models to Language Weaver Pro. RWS describes Language Weaver Pro as a 100+ B parameter translation system built in collaboration with Cohere and designed for secure, sensitive enterprise environments.

A recent Hacker News thread revived Meta's Omnilingual MT paper and its claim that machine translation can move beyond a few hundred languages into a 1,600-language system. The interesting part is not just bigger coverage, but Meta's argument that specialized translation models and broader evaluation can outperform a much larger general LLM baseline.