111–120 of 230 posts
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They can get what, 1B euros? 10B when everyone loses their mind? This doesn’t buy nearly enough compute nowadays. Meanwhile, Anthropic and OpenAI have investors practically begging them to let them buy this much equity at mind-bogging valuations.
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> BNP Paribas runs Mistral models on-prem for KYC in Belgium, with sensitive data staying within the bank's walls. Abanca is using agent orchestration to handle sensitive customer information at a huge scale (2 million customers in their app). For European companies in regulated industries, this is a good alternative to relying on US hyperscalers. Mistral leaning into on-prem and European-hosted models is very smart.
OK, I'm 100% rooting for both Mistral and task focused small models. But Mistral has fall really far behind since 2025Q3. It seems they can't get good reasoning models working at even medium context sizes, which is necessary to be at the table right now. Gemma4 and Qwen3.6 are currently best in the small size; Mistral's "small" model has ~4x the parameter count at 120B and isn't even competing with models a quarter i…
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You think they're intentionally being bad because they can't manage to pump $65B into a startup on a whim...?
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I've never heard or read anything about the EU planning on investing money in Mistral. They're a private company. They're French. It honestly sounds kind of absurd.
edit A lot of AI company names are really strange, actually. "Claude" is really the best a trillion+ dollar company could come up with? It sounds like the name of a grandpa or something.
I really want Europe to be part of the AI development and research. And I strongly cheered for Mistral. But they are accumulating too much technological delay. This needs to be fixed, otherwise it will turn into yet another proof we are not able to run large tech with good results. Basically any Chinese lab is doing much better. It's not Mistral that created I don't want to say DeepSeek, but MiMo 2.5, Minimax 2.7, an…
https://en.wikipedia.org/wiki/Artificial_Intelligence_Act#Pe... Europe shot itself in the dick with this hastily implemented at the height of mass hysteria bullshit and now no sane company will build anything there. an AI startup in the US or China can be a boy and his computer. in Europe, the boy needs a dozen lawyers. Mistral's sinking into irrelevancy despite the head start they had, the very promising early model…
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I agree. I am a paying Le Chat Pro user, really rooting for a European alternative. But the quality difference between Mistral and the frontier labs is growing too big to ignore. It’s worrying to me that they didn’t talk much about new models at the conference, because that is really where their focus should be IMHO. I am wondering what is keeping them back, though: Money? Compute? Skills? Training data? My fear is t…
> what is keeping them back, though: Money? Compute? Skills? Training data? All of the above and more. Everything holding Mistral back is the same thing that has held Europe back from competing in the entire digital revolution. See this 1991 article lamenting the loss of any viable European PC manufacturer: https://www.nytimes.com/1991/04/22/business/europe-stumbles-... Mistral being in Europe is disadvantaged with:…
Not true in my experience: even German waiters in small towns tend to have pretty fluent English.
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What claims are you talking about? I've never heard or read anything about the EU planning on investing money in Mistral. They're a private company. They're French. It honestly sounds kind of absurd.
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If you're going to make that claim at least put some effort in.
OK, I'm 100% rooting for both Mistral and task focused small models. But Mistral has fall really far behind since 2025Q3. It seems they can't get good reasoning models working at even medium context sizes, which is necessary to be at the table right now. Gemma4 and Qwen3.6 are currently best in the small size; Mistral's "small" model has ~4x the parameter count at 120B and isn't even competing with models a quarter i…
I agree. I am a paying Le Chat Pro user, really rooting for a European alternative. But the quality difference between Mistral and the frontier labs is growing too big to ignore. It’s worrying to me that they didn’t talk much about new models at the conference, because that is really where their focus should be IMHO. I am wondering what is keeping them back, though: Money? Compute? Skills? Training data? My fear is t…