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Mistral raises 1.7B€, partners with ASML

mistral.ai

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Re: Mistral raises 1.7B€, partners with ASML

#241

Post by benjiro »

tedggh wrote: post #236
maeln wrote: post #230

ASML gross revenue was 28B€ in 2024, and their net income was 7.5B€. While 1.3B€ (the amount ASML invested in this 1.7B€ fund raise) is not pocket change, it is also an amount that ASML can not afford to lose. While they might have seen some synergy with Mistral, it might also be a complete strategic and/or political investment. Mistral is the only serious "AI" company in the EU right now (if you exclude company work…

[flagged]

Its not a "Europe" issue alone but even more locally.

Saying this as a IT guy, we had way too many talks with banks about IT projects that in the US will have been way easier. But in specific EU countries was constantly met with "amazon does that, why bother" type of comments. Even on governmental level, talking about "innovative investments", it was like talking to walls.

As you expect, a lot of companies (and people) left the European countries to go to the US, because it was WAY easier to get investments going there.

If you already have the money, its one thing, but starting fresh in Europe is just silly.

There are now much, MUCH more support projects in local and EU level, but its often too little, and more in the "sure, you do not need to pay taxes for X years, or we give you a small amount".

But if you ever worked in IT, its those initial investments that are the hardest (material, people) until you get a actual product and with the right marketing. And that support comes not even close.

Do i sound bitter? lol

Now, the US is not exactly going down a great phase. If your into LLMs, sure but the rest has been rather mheh for a while.

Re: Mistral raises 1.7B€, partners with ASML

#243

Post by diggan »

ACCount37 wrote: post #199
diggan wrote: post #142

Earlier quoted context omitted.

> OpenAI has no serious open source software What's "serious" exactly? Codex is open source, is software, can be run with open/downloadable models/weights. In my testing using Gemini, Claude Code, Codex, Qwen Code and AMP side-by-side for every prompt for the last two weeks, Codex seems the best of all of them so far.

Pretty sure the claim is of LLMs specifically, and implies that the recent GPT-OSS is not competitive with other open weights models.

> Pretty sure the claim is of LLMs specifically

Yeah, I initially thought so too, but since they used "models" later, I assumed they knew the difference and really meant "software".

> recent GPT-OSS is not competitive with other open weights models

Yeah, heard that a lot from people who haven't run GPT-OSS themselves too, but as someone who been playing with it since launch, and compared it to the alternatives since then, saying it isn't even competitive is a serious signal they don't know what they're talking about.

Re: Mistral raises 1.7B€, partners with ASML

#244

Post by siva7 »

dakiol wrote: post #242

Mistral cannot be “the EU AI company” if they don’t change their remote work policy. A truly “EU AI company” would benefit from the talent pool of all EU, not just from a couple of cities where they happen to have offices.

There is enough talent willing to work there as there is no competition for them

Re: Mistral raises 1.7B€, partners with ASML

#246

Post by dewey »

dakiol wrote: post #242

Mistral cannot be “the EU AI company” if they don’t change their remote work policy. A truly “EU AI company” would benefit from the talent pool of all EU, not just from a couple of cities where they happen to have offices.

> would benefit from the talent pool of all EU

I get what you are saying, but one of the core benefits of the EU is the freedom of movement and residence so I don't think not having a remote work policy is disqualifying them from being an EU AI company.

Re: Mistral raises 1.7B€, partners with ASML

#247

Post by guilamu »

lilwobbles wrote: post #245
dakiol wrote: post #242

Mistral cannot be “the EU AI company” if they don’t change their remote work policy. A truly “EU AI company” would benefit from the talent pool of all EU, not just from a couple of cities where they happen to have offices.

[flagged]

Any source for those numbers, pretty please? Thanks.

Re: Mistral raises 1.7B€, partners with ASML

#248

Post by on_the_train »

spiderfarmer wrote: post #220
testdelacc1 wrote: post #212

> The collaboration between Mistral AI and ASML aims to generate clear benefits for ASML customers through innovative products and solutions enabled by AI I don’t know much about lithography which is why I ask - what is an AI supposed to do in a lithography machine? Does anyone know?

I read it as: We at ASML have a lot of cash. We think investing in Mistral will give us a ROI and investing in the EU right now is safer than the hellscape in the US. Politicians will like it as well. We'll let the PR firm worry about synergy.

Asml does not have a lot of cash though. Not at all.

Re: Mistral raises 1.7B€, partners with ASML

#249

Post by whimsicalism »

admiralrohan wrote: post #65

Everyone is so negative here but we have reached the limit of AI scaling with conventional methods. Who knows Mistral might find the next big breakthrough like DeepSeek did. We should be optimistic.

what next big breakthrough are you claiming deepseek found? MLA? GRPO? these are all small tweaks

Re: Mistral raises 1.7B€, partners with ASML

#250

Post by alcinos »

lordofgibbons wrote: post #193
admiralrohan wrote: post #65

Everyone is so negative here but we have reached the limit of AI scaling with conventional methods. Who knows Mistral might find the next big breakthrough like DeepSeek did. We should be optimistic.

> but we have reached the limit of AI scaling with conventional methods We've just only started RL training LLMs. So far, RL has not used more than 10-20% of the existing pre-training compute budget. There's a lot of scaling left in RL training yet.

> We've just only started RL training LLMs

That's just factually wrong. Even the original chatGPT model (based on gpt3.5, released in 2022) was trained with RL (specifically RLHF).

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