As someone who is in general skeptical of programs like this (and an European) there are 2 remarkable / timely things about this:
- This project doesn't just allocate money to universities or one large company, but includes top research institutions as well as startups and GPU time on supercomputing clusters. The participants are very well connected (e.g. also supported by HF, Together and the likes with European roots)
- Deepseek has just shown that you probably can't beat the big labs with these resources, but you can stay sufficient close to the frontier to make a dent.
Europe needs to try this. Will this close the Gap to the US/China? Probably not. But it could be a catalyst for competitive Open source models and partially revitalize AI in Europe. let's see..
PS: on Twitter there was a screenshot yesterday that in a new EU draft, "accelerate" was used six times. Maybe times are changing a little bit.
Disclaimer: Our company is part of this project, so I might be biased.
I wish you the best of luck. However, this is basically a still just a European joint research project (admittedly compatibly well funded) with similar partners that have been also connected before in other research projects. To really compete in the space it will require new ideas, great talent and good leadership towards a common goal. I have myself been part of many EU funded projects and know the difficulty of realizing this within such a project. Public funding sadly has adversarial effects sometimes.
As for computing cost: as EuroHPC gives resources to research for free there can be more budget for computing. The EuroHPC joint undertaking has just decided to invest hundreds of millions of Euro in new AI clusters and supporting services. So this can come on top. Actually projects like this are much needed to also make good use of the money.
Disclaimer: my lab is involved in one of the new AI Factories.
So, if one has a well thought-through idea, what is the process of getting the resources ($$$) from OpenEuroLLM and the compute from EuroHPC? How do I become a partner as a long-standing engineer with plenty of industry practice in research and development?
I am asking this because I never really understood how EU funds are working, they always seemed to me as there's a lot of gate keeping.
There definitely is - but that we, as a startup that is barely a year old and not widely known outside our niche in AI dev circles and on Huggingface, are part of this is already a sign that times are changing.
To be fair: We probably couldn't have handled the paperwork without LLM´s - but due to this technology, the process was still long and involved but manageable.
(BTW: We´re hiring, if you really want to work on this ;-). As a freelancer/solo entrepreneur this will be difficult though..)
The problem is that:
- These are not really super computing cluster in LLM terms. Leonardo is a 250 PFlops cluster. That is really not much at all.
- If people in charge of this project actually believe R1 costs $5.5M to build from scratch, it's already over.
I think no one believes that R1 costs $5.5m from scratch.
People in this project (most, not all) are very aware of the realities in training and are very well connected in the US as well. Besides Leonardo there are JUWELS, LUMI & other which can be used for ablations and so on.
This will never compete with what the frontier labs have (+ are building) but might be just enough for something, that is close enough to be a useful alternative :).
The only thing that matters is how much regulatory red tape is involved.
My guess is that the paperwork will kill this. Read the announcement. Too much discussion about regulatory framework. In the US or China, all you need is some money and smart people. That’s a very low barrier to getting moving forward.
In other words, to be successful you need to be able to break the law and lobby the government? That is indeed the USA mindset, or should I say United Corporations of America? I'm happy EU is not USA.
That’s absolutely asinine and not at all what I said.
The EU over regulates things like tech and that why they won’t be successful at have an AI tech scene. Over time, anyone good will migrate to the US or China where they can work faster and not have as many rules to deal with.
A simple example is hiring and firing people - it’s much easier to make personnel changes in the US than Europe. As a result, US companies can take more risks.
Yes, US has at-will firing, and healthcare tied to the employer, and so forth. Basically the US has made sure that the corporations have all the power, and the people have none of it. Does this make it easier to make companies? Well of course it does, just like slave trade made it easier to collect crops.
Unlike the US however, we in EU really like having basic human rights - such as mandatory minimum vacation time, healthcare that won't immediately disappear if you lose your job, or depend on the job, as well as not getting fired without cause, and without multiple warnings beforehand.
If the result of this means that we won't be successful in the AI tech scene, or that all the Musk-like slave owners migrate to US or China where they can abuse people however much they like, I'm pretty sure Europeans are not going to shed a tear over that.
I realize more and more that the main difference between Americans and Europeans is that Americans think from the perspective of a corporation, whereas Europeans think from the perspective of themselves, as human beings. We're not compatible, clearly, so there's no need to force us to be the same.
I disagree with "basic human rights". They aren't. And the reason they aren't is because one person's mandatory minimum vacation time is another person's liability.
Yeah, it's great for the employee - I totally agree. But if you run a startup, that's a huge cost.
So yes, we disagree on approaches, and that's fine. Not everyone needs to be like us, and if you reread my original comment, I never said they did. [0]
[0] - "My guess is that the paperwork will kill this."
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side note:
I'm American. I spent 2 weeks in Europe last summer for vacation. I loved it. Food was great, Formula 1 was great. Overall a fantastic time.
But if I'm going to run a startup, I would never do it in Europe. An organic foods company - sure - that would be a great place to do it.
From experience, regulation as an explanation for EU startup competitiveness is overused so much it's almost meaningless. Can you point out specific laws that you consider existential for startups?
What I find matters way, way more is two factors:
- Concentration of capital. The US has an ecosystem of wealthy people that want to put their money somewhere. This is good for startups, but can also backfire as we can see in the news.
- Unified market. EU is not a single market, it's several dozen markets with different regulations, different languages, and different cultures. You can't sell the same B2C product with the same marketing in Germany, Spain, and Sweden as easily as you can in California, Ohio, and Texas.
First, your last point answers your first question: a non-unified market is an implicit result of too many regulations. Harmonizing them would create a more unified market. The US is efficient because it is more homogenous. That efficiency is one of the things that leads to capital formation.
So, I think you have causation backwards. Capital formation doesn't really happen because it's too difficult to build and grow things in Europe.
Look at tech in Silicon Valley - all that capital formation is years worth of growth and reinvestment.
Look at oil & gas Texas - again, all that capital comes from years of growth and reinvestment.
And what you learn in silicon valley you can generally apply to starting a company in Austin Texas. What would happen if Mercedes wanted to move it's company (HQ and all) to Spain? How much would it have to relearn from a regulatory perspective?
I agree that the announcement should´ve talked more about goals and performance than regulatory stuff ;-).
But I think there is a new understanding among the bureaucracy that regulation (alone, without innovation) will kill Europe´s competitiveness and that some acceleration and cutting of red tape is necessary.
Can't say with certainty that this will be successful.
But that we, as a very young startup that is barely known outside of our AI Open Source niche, are part of this, is already a sign in itself - a year ago I´d have never believed that this might be an option (and also probably would've declined if someone asked us to join a EU-funded project).
We will have engineers without a degree (but hundreds of thousands of HF downloads) working side-by-side with some of the top researchers + HPC centers.
What I don't understand is the big plan. Say, you manage bring about something that works in the lab on par with DeepSeek R1. What happens with it next? In the market LLMs are being improved continuously based on feedback - in terms of usage data etc. and new versions are being released multiple times a year. If we want to stay sovereign, we need a similar engine started in Europe, but I can't see how a research project relying on a walled garden system of supercomputer centres can start it.
might be debatable - but I tend to agree with Dario Amodei on this; my guess is that R1 is 7-10 months behind the internal frontier at the big labs, while having a few small novel tricks.
(But i might err, will be interesting to see the development going forward)
- This project doesn't just allocate money to universities or one large company, but includes top research institutions as well as startups and GPU time on supercomputing clusters. The participants are very well connected (e.g. also supported by HF, Together and the likes with European roots) - Deepseek has just shown that you probably can't beat the big labs with these resources, but you can stay sufficient close to the frontier to make a dent.
Europe needs to try this. Will this close the Gap to the US/China? Probably not. But it could be a catalyst for competitive Open source models and partially revitalize AI in Europe. let's see..
PS: on Twitter there was a screenshot yesterday that in a new EU draft, "accelerate" was used six times. Maybe times are changing a little bit.
Disclaimer: Our company is part of this project, so I might be biased.