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It seems like Mistral is just chasing around sort of "the fringes" of what could be useful AI features. Are they just getting out-classed by OAI, Google, Anthr
by petcat 11mo ago
It seems like Mistral is just chasing around sort of "the fringes" of what could be useful AI features. Are they just getting out-classed by OAI, Google, Anthropic?
It seems like EU in general should be heavily invested in Mistral's development, but it doesn't seem like they are.
- tensor 11mo agoForm processing is vastly more useful than meme generation. When people need to do real work this is the sort of tool they are going to reach for.
- sbuttgereit 11mo agoYep. I saw the title and got excited.... this is a particular problem area where I think these things can be very effective. There are so many data entry class tasks which don't require huge knowledge or judgement... just clear parsing and putting that into a more machine digestible form. I don't know... feels like this sort of area, while not nearly so sexy as video production or coding or (etc.)... but seems like reaching a better-than-human performance level should be easier for these kinds of workloads.
- VWWHFSfQ 11mo agoI think there is a lot of broad support, but they're just kind of hamstrung by EU regulation on AI development at this stage. I think the end game will ultimately be getting acquired by an American company, and then relocating.
- lawlessone 11mo ago>It seems like EU in general should be heavily invested Maybe, i think it will be to our benefit when the bubble pops that we are not heavily invested, no harm investing a little.
- BoredPositron 11mo agoI guess it's better to do the same stuff everyone else is doing?
- bee_rider 11mo agoFollowing the leaders too closely seems like a bad move, at least until a profitable business model for an AI model training company is discovered. Mistral’s models are pretty good, right? I mean they don’t have all the scaffolding around them that something like chatGPT does, but building all that scaffolding could be wasted effort until a profitable business model is shown. Until then, they seem to be able to keep enough talent in the EU to train reasonably good models. The kernel is there, which seems like the attainable goal.
- qwytw 11mo ago>Mistral’s models are pretty good, right Are they? IIRC their best model is still worse than the gpt-oss-120B?
- amarcheschi 11mo agoDevstral 2 should be above https://mistral.ai/news/devstral-2-vibe-cli https://mistral.ai/news/devstral-2-vibe-cli Though I haven't checked other benchmarks and they only report swe
- acters 11mo agoDevstral 2 is free from the API. That has to be a bigger point to what makes it better. The price to performance ratio is practically better in every way. Does it matter if the performance is slightly worse when it is practically free?
- qwytw 11mo agoYes, but if it's actually competitive that won't last that long. Mistral will do the same as google (cut their free tier by 50x or so) if they ever catch up. Financially anything else would make no sense. Of course currently Mistral has an insane free tier, 1 billion tokens for each(?) of their models per month.
- tomalbrc 11mo ago
- IMTDb 11mo ago> It seems like EU in general should be heavily invested in Mistral's development, but it doesn't seem like they are The EU is extremely invested in Mistral's development: half of the effort is finding ways to tax them (hello Zucman tax), the other half is wondering how to regulate them (hello AI act)
- District5524 11mo agoZucman taxes rich individuals (100m€+), not Mistral. AI Act rules are not that difficult to comply with by GPAI model providers as long as the model doesn't become systemic risk... They have to spend a lot more time on PR and handshaking with French politicians than on AI compliance. They probably don't even have a single FTE for that... So that's just prejudice I believe.
- lm28469 11mo agoWe're too busy with real life to bother with generating SVGs of pelicans on bicycles sorry, but feel free to dump billions on chatbots
- _menelaus 11mo agoMistral is pursuing pursuing B2B use cases. Thats because they're releasing open models and the big thing about B2B is they HATE sending their data off-prem. OCR'ing and organizing old docs is a huge feature in B2B. Mistral's strategy seems smart to me.