> Marius Husnes, the Head of IT Platform at the library (Nasjonlbiblioteket) discussed the project at Huawei’s ID Forum 2026 in Paris, saying that no commercial LLM provider was developing a local (Norwegian) language LLM. He asserted that any country with its own language that did not have a sovereign LLM trained in that language was at a disadvantage as a globally trained, English-speaking LLM would not know about…
He’s right though, although it’s not entirely about the training corpus. It’s about the tokenizer that tokenizes substrings more efficiently based on a necessary bias towards a target language. English oriented LLMs are more powerful for English than other languages because the token space is more parsimonious in English language. Try any online Anthropic tokenizer that calls their api with common English words (typi…
English performs the best because there is more data in English and high quality sources are either only in English or there is a good translation in English.