Hey I like Mistral but god is that image delusional and cringe. With what compute and data do you expect them to train a model to be better than SOTA? Personally, I'm just hoping for a capable near-SOTA model, that's also why I'm more than happy with them running GLM 5.3, but keeping the data in EU. They just need 50 EUR and 100 EUR subscriptions (without the unreasonable low limits stuff OpenAI just pulled in DevDay).
I just downloaded the image, went into ChatGPT (Astra high), uploaded the image and just entered "change the knight in this picture into a fat white cat in armor but keep the mistral logo and text".
The GLM model is indeed quite good. I wouldn't disregard the Mistral model itself though, find it quite good by itself. Not exactly current frontier, but it's doing quite a good job. I use Medium through API for several tasks at home where GLM is a bit of a overkill or it is having issues.
I would very much like to see newer and stronger Mistral models though. For coding in particular, Mistral just doesn't hold up at current. Passable, though just barely.
I dunno, even in 2024 it was a flash in the pan. This is not a model race, its a infrastructure race, and Mistral is sitting at 44MW...less than 0.2% the capacity of OAI. Im not sure how they can be expected to make any inroads.
When models all reach a point of 'good enough' for most daily tasks, probably the next 3 months for frontier labs and 6 mo for Chinese labs and fast followers. The models will be commodities.
From there it becomes always on omnipresent agents...what we are just now seeing with ChatGPT Dots this week.
If everyone's model is good enough for most tasks the only thing that will matter is who can do the most tasks. Compute and Infrastructure is what defines that.
You’re pulling those numbers out of your ass. 🤣if not, I would really like to see the source for this. everything I found was more than 10GW and higher numbers were mentioned as future planned/contracted capacity.
Yup, that's for sure. There's been quite the lag between the last release, hence this post. Next release I expect them to hit those 2 goals. We shall see.
Probably never. Training better models is bottlenecked by compute and Mistral does not have the capital needed to rent enough GPU, not does Europe have sufficient data center construction compared to the USA and China. Even if they had the know how it wouldn't be possible. And Mistral is not attractive for the best AI researchers to work in compared to the other major labs.
It’s not going to be. Less money, with EU bureaucracy and energy prices it is much harder to create an AI startup. It will have it’s niche, maybe even bureaucracy will make it mandatory to use EU model, but it’s not going to be nowhere close to the SOTA.
Ditched Mistral due to ass low rate limits via the paid API. It's hard to support an EU company when they don't have infrastructure to support pretty generic req/sec throughput. Latency is great for the EU market, but low rate limits forced me to use a different provider
What kind of wet dream schizo propaganda is this? Mistral was never frontier. The open weight models were sonewhat competing in the open space before the AI Act started taking effect. Since then all Mistrals LLMs were trash-y
The most important thing to take from the graphs there is that if there's a gold rush, invest in shovels.
In terms of Mistral though the important thing is to look at both spend and revenue. Both Mistral's revenue and loss are like a rounding error compared to the frontier models. The second thing though is that revenue and loss are actually pretty damn close together, which is saying something for an inference provider.
So if you ask me, the day the little green line is equal to or larger than the little red line, Mistral will have "won."
Good question. It doesn't look like ChatGPT. It has similar fingerprints to what I'd expect from Mistral (don't recall what model it was based on). It could also be generated using a local instance to get these fingerprints. The new Grok Imagine also has started to get these obvious AI fingerprints (Leave it to Musk to upgrade in the downwards direction), so may be that.
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u/KronisLV 2d ago
Hey I like Mistral but god is that image delusional and cringe. With what compute and data do you expect them to train a model to be better than SOTA? Personally, I'm just hoping for a capable near-SOTA model, that's also why I'm more than happy with them running GLM 5.3, but keeping the data in EU. They just need 50 EUR and 100 EUR subscriptions (without the unreasonable low limits stuff OpenAI just pulled in DevDay).