Di recente ho imparato che ETH sta sviluppando un LLM che può essere usato in più di 1’000 lingue, quindi per me questo suona come Chatgpt ma sugli steroidi. E sarà open source e verrà da un’istituzione pubblica affidabile, quindi posso immaginare che anche tutte le cose di protezione dei dati siano migliori. Dovrebbe essere lanciato tra qualche settimana. In che modo questo non è più discusso in pubblico? O sto solo sopravvalutando le possibilità di questa cosa? Sembra un’enorme possibilità di riportare un po ‘di influenza tecnologica in Europa. (https://ethz.ch/en/news-and-events/eth-news/news/2025/07/a-la–language-model-dult-for-the-public-good.html)
AI from ETH – why isn‘t this a bigger topic?
byu/Tombohniha inSwitzerland
di Tombohniha
8 commenti
Well i guess there is not yet much fuzz about it is because it’s not out yet and we can’t test how good it really is.
1000 languages does not impress me. real tests from others then the developers / publishers are interesting and will show how good it really is.
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There is no large technical Innovation. If the model were good, they would publish benchmark, but now it’s just a repeat of what companies did years ago, but with only legally and ethically obtained data. (Which makes the model quality worse)
The model will be years behind of gpt5, grok4 or Claude4.1. the only Innovation would be that you can use it where one couldn’t because of data protection stuff
Showoff and marketing.
Let them first release the model.
Did Deepseek announced before releasing the model? . I didn‘t expected this from ETH. First, release the model and then do the marketing.
I have heard it is 1000000 languages and to me it sounds like it is the second coming of Christ, why is this not on national news?
(Same argument exaggerated for effect) What questions (expletives work too) would you have if I said that? That is your answer.
Because the 1’000 languages thing doesn’t really matter. It’s all about reasoning and problem solving.
Mistral is already open source and european.
Model quality is largely dependent on how much cash someone is will to throw at the problem.
ETH has less resources than BigTech so the model quality will surely be worse than existing models
imo, “ai-news” is saturated and I would argue many are over-stimulated, hearing “amazing” things A.I. can do nonstop – hence the silence. I may go out on a limb here but most people don’t harness basic LLM abilities – using it to “google” yes/no questions.
I looked it up and it sounds interesting. I will definitely try it out once it is out and see if I can throw it into my LLM army. For what it’s worth, yes, I think we ought to wait and see. No need to build hype around it. The way I see it, proficient users will find specific LLMs for specific tasks eventually and the eth-model might fit in somewhere.