Spyke
lemmy.ml

I am conflicted about this choice. I am happy that the EU Commission will invest funds into open source technologies, but at the same time the US and China are already investing enough into "free as in free beer" models. Is it really worth it building yet another model?

Why not fund open source software development instead of funding machine learning? €20 million would do miracles divided between a few teams of developers, but they might merely be bread crumbs for machine learning training.

18
Anyonereply
slrpnk.net

Is it really worth it building yet another model?

Yes, it is, and it has to do with independence and many other reasons. It'll be multilingual, legally compliant, it comes without Chinese nor other censorship, it is open source unlike Deepseek, ChatGPT, and others.

31
bruce965reply
lemmy.ml

Mmh, okay that makes sense. Especially the multilinguality would be pretty important. As for the legality, we'll see how it goes. Do we even know if it's really possible to build a good model with only legally acquired data?

As for the censorship, as far as I know, for DeepSeek's models it's injected in the prompt after the training is completed, so it shouldn't really be censored if you run it locally.

But yeah, you have raised good points. Thanks.

7
jlai.lu

That money should definitely go towards funding sovereign cloud infrastructure and open source software instead of vaporware AI bullshit. Where will you run your LLMs if you have no infra..

9
albert180reply
discuss.tchncs.de

We already have sovereign Cloud Infrastructure (OVH, Scaleway etc...)

Most people use AWS, Azure and Google Cloud because of Resume Driven Development and nobody got fired for buying AWS, and most of them probably don't need them

3
jlai.lu

Nobody in Europe can realistically compete with AWS, GCP or Azure. Especially not OVH. They mostly focus on small and medium businesses and I wouldn't trust them for large scale operations like the ones you can do on AWS. They had one too many dumb problems caused by poor design/decisions.
Maybe I should have been more precise: we don't have sovereign hyperscalers in Europe.

1
albert180reply
discuss.tchncs.de

You don't need those companies to run a big LLM in the Cloud.

You can do that on OVH, Scaleway etc...

3

2 main issues with the lack of Euro models: 1) Performance of all SOTA models is much better in English. 2) US models have US values. It's yet another tool to culturally assimilate Europe (and the rest of the world too)

6

At the very least the name is much more technically accurate by putting LLM instead of AI in there.

7

To be fair — I wouldn’t mind an open source AI model that works decently well and isn’t made and selectively propagandised by China or Meta.

Obviously I’m sick of all the LLM enshittification — but there’s a couple tasks I wouldn’t mind having a FOSS LLM for.

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I mean a whole lot of people are using AI for a whole lot of different things. It's easy to hate on, but it's here to stay.

10

with that little money split between that many institutions, nothing will come of it.

It's especially pointless ever since DeepSeek R1 dropped. Now everyone has the recipie to build state of the art models, so it's only a matter of time until European companies will create one.

4
ani.social

Well, investing a mere €20 millions won't achieve much. On the other hand I'm glad they aren't wasting more money on it.

4
clb92reply
feddit.dk

Wasn't DeepSeek v3 trained with single-digit million dollars budget?

1

Probably not. There's a lot of reasons to be skeptical of those claimed numbers.

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ludreply

Iirc leaked numbers says something closer to 1 billion USD

4

You reached the end

Europe will have its own AI: OpenEuroLLM | Spyke