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Notes from the Mistral AI Now Summit

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201–210 of 230 posts

Re: Notes from the Mistral AI Now Summit

#201
post #195

Earlier quoted context omitted.

Should it, though? I think an European company, taking Chinese models, perhaps doing its own post-training on them and training the Chinese-ness out, with a great chat service, enterprise API and coding agent, could be pretty valuable in itself.

What does “training the Chinese-ness out” even mean?!

The Chinese censorship. The Chinese use open weight models, Europeans too. US big three don't.

Re: Notes from the Mistral AI Now Summit

#202
post #27

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…

So let me get this straight. You think that Europe "shot itself in the dick" by making it harder to deploy AI that:

- manipulates, including subliminally (hope you'll like your subliminal Ads mixed into your LLM output)

- profiling for social scoring

- automated thread labeling as an individual, with no human supervision

- facetracking databases

- emotional and "well-being" monitoring at work or in schools

- + many other kinds of surveillance tools.

I hope you are joking.

edit:

For context this was a snippet of prohibited use, which the fines listed on Wikipedia (theoretically apply to), https://artificialintelligenceact.eu/article/5/

Re: Notes from the Mistral AI Now Summit

#203
post #40

Earlier quoted context omitted.

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:…

> European money is vacuumed out of the private sector into state pension funds and dumped into low yielding government bonds.

Which countries do that? The ones in NL actually invest in US big tech.

Once Europe stops investing in USA, Europe will be better able to compete.

> Talent & compute: due to #1, Silicon Valley can outbid Europe for the best talent and hardware. Watch an OpenAI launch video and listen to all the European accents.

That just denotes European students are high quality.

Brain drain is happening due to bullying and fascism. The extend of longterm danage of current administration is unclear.

> Local market fragmentation: Europe is a collection of countries that pretend to work together while not even having a unified capital market. The average EU citizen can barely communicate with their neighbor in a common language beyond the level of a toddler (english fluency is massively overstated by Americans who only experience tourist capitals).

Bollocks. I have been in Berlin and Munich various times past decades, and people there speak English very well. Nowadays, translation is a profession which got hit by the AI club.

The people in the rural areas don't have to work together with other people from rural areas. They just need websites and tooling in their native language, or a major language.

Case in point: the French company Mistral has Dutch company ASML has one of their major investors. If you go to Eindhoven area (Netherlands mini SV called Brainport Eindhoven), you get away with English perfectly fine, and there too you will hear all kind if accents.

Re: Notes from the Mistral AI Now Summit

#204
post #56

Earlier quoted context omitted.

DeepSeek is both cheaper and better than Mistral.

Not in many tasks. I use deepseek as a fallback in https://phrasing.app and it’s always very apparent when it happen (due to mistakes/clear performance drop off)

Interesting - which models specifically? I'd be interested in using mistral over deepseek if it was competitive (guess I need to go benchmark)

Re: Notes from the Mistral AI Now Summit

#206
post #193
post #141

Earlier quoted context omitted.

Interesting. Could you elaborate. As a pro Europe Brit I'm interested to understand this viewpoint. Is it a widely held perspective do you know?

I think that while y'all were appreciated members and definitely had a lot to offer, you also had a lot of annoying carve-outs and kept stalling needed measures to federalize and strengthen the EU more so we can be a proper superpower in our own right. Maybe it's good you left for now, maybe we can finally get these things done. And once that's accomplished and enough of the gammon has died off, you can always rejoin…

Exactly, well put!

Re: Notes from the Mistral AI Now Summit

#207
post #40

Earlier quoted context omitted.

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…

> I am wondering what is keeping them back, though: Money? Compute? Skills? Training data? Not ruthless enough and no backing by a corrupt govt administration that has no morals but focuses on self-enrichment instead. Might sound drastic but I think that's actually closer to the truth thn everbody likes to admit. > My fear is that you are really only getting really good models by training on very dubious data (output…

My hope is that people working with less resources will need to push on ingenuity to do more with less, leading to innovations. But there’s certainly no guarantee of it

Re: Notes from the Mistral AI Now Summit

#208
post #63

Sounds like they don’t have a moat at all. It’s like software consultancy with a data centre. And then the article mentions many customers using these models on prem (so data centre is not really a plus). What’s stopping any country backed startup from fine-tuning small open source models?

No one in Europe will buy from a random startup, the consultancy part is a MUST to do businesses with big corps, banks, finances, insurances, governs, public administration ...

Mistral is a startup that happened to raise 100M. I said in my comment a “country backed startup”, which mistral is

Re: Notes from the Mistral AI Now Summit

#209

Earlier quoted context omitted.

Not in many tasks. I use deepseek as a fallback in https://phrasing.app and it’s always very apparent when it happen (due to mistakes/clear performance drop off)

Interesting - which models specifically? I'd be interested in using mistral over deepseek if it was competitive (guess I need to go benchmark)

I use small, large, an medium-3.5 depending on the task

Re: Notes from the Mistral AI Now Summit

#210
post #208

Earlier quoted context omitted.

No one in Europe will buy from a random startup, the consultancy part is a MUST to do businesses with big corps, banks, finances, insurances, governs, public administration ...

Mistral is a startup that happened to raise 100M. I said in my comment a “country backed startup”, which mistral is

The "consultancy" is their moat: if there are already in the company they will catch up most of the opportunities despite not having the SOTA model.

In Europe procurement cycles are insane, if you are somehow a "trusted vendor" you get a priority line, otherwise you need a lot of political support or ties with some C-level in a company.

Moreover, a lot of companies don't want to send their data to external providers(unless it's Microsoft, but it's a different story ...)

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