(LLM) A language model built for the public good
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ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
- In late summer 2025, a publicly developed large language model (LLM) will be released — co-created by researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS).
- This LLM will be fully open: This openness is designed to support broad adoption and foster innovation across science, society, and industry.
- A defining feature of the model is its multilingual fluency in over 1,000 languages.
A language model built for the public good
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
(actu.epfl.ch)
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ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
- In late summer 2025, a publicly developed large language model (LLM) will be released — co-created by researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS).
- This LLM will be fully open: This openness is designed to support broad adoption and foster innovation across science, society, and industry.
- A defining feature of the model is its multilingual fluency in over 1,000 languages.
A language model built for the public good
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
(actu.epfl.ch)
I'm sure the community will find something to hate about this as well, since this isn't an article about an LLM failing at something.
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I'm sure the community will find something to hate about this as well, since this isn't an article about an LLM failing at something.
Gigantic hater of all things LLM or "AI" here.
The only genuine contribution I can think of that LLMs have made to society is their translation capabilities. So even I can see how a fully open source model with "multilingual fluency in over 1,000 languages" could be potentially useful.
And even if it is all a scam, if this prevents people from sending money to China or the US as they are falling for the scam, I guess that's also a good thing.
Could I find something to hate about it? Oh yeah, most certainly!
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I'm sure the community will find something to hate about this as well, since this isn't an article about an LLM failing at something.
Llms are useful for inspiration, light research, etc.
They should never be used as part of a finished product or as the main scaffolding.
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Gigantic hater of all things LLM or "AI" here.
The only genuine contribution I can think of that LLMs have made to society is their translation capabilities. So even I can see how a fully open source model with "multilingual fluency in over 1,000 languages" could be potentially useful.
And even if it is all a scam, if this prevents people from sending money to China or the US as they are falling for the scam, I guess that's also a good thing.
Could I find something to hate about it? Oh yeah, most certainly!
Most rational AI hater.
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Llms are useful for inspiration, light research, etc.
They should never be used as part of a finished product or as the main scaffolding.
Honestly they are pretty good for research too. You can’t imagine the amount of obscure shit that my ChatGPT has surfaced when I bounce ideas on it. But yea it’s terrible in finished products, I think everyone knows that and in a year or two if they don’t improve I expect we will be back to shoving it behind the scenes as had been done before ChatGPT. It’s for the best.
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Honestly they are pretty good for research too. You can’t imagine the amount of obscure shit that my ChatGPT has surfaced when I bounce ideas on it. But yea it’s terrible in finished products, I think everyone knows that and in a year or two if they don’t improve I expect we will be back to shoving it behind the scenes as had been done before ChatGPT. It’s for the best.
That's not research. That's simply surfacing tidbits it found on the net the happen to be true
.I've asked many questions of many llms in my chosen areas of interest and modest expertise , seeking more than basic knowledge( which it often surprisingly lacks ) it always has at least one error. Often so subtle it goes on noticed until it's too late.
