Doing stuff at @mistralai ... Inference, Robotics, Foolishness. ex. @MetaAI
London
- Tweets 2,495
- Following 1,422
- Followers 3,435
- Likes 3,134
Bam4d retweeted
this is what a european datacenter looks like
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise.
We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster.
We expect large and rapid improvements in the weeks and months ahead.
2/n
160
310
9,890
441,865
Skill issue
J’ai très, très hâte d’avoir plus d’infos sur ça.
Parce que là, en l’état, je ne vois pas comment c’est possible de train « from scratch » un modèle de 1 000 milliards de paramètres (donc 46 milliards actifs) sur 3 800 GPU.
Donc je veux bien plus de détails, mais évidemment, j’imagine qu’on ne les aura pas si facilement.
Donc faut juste croire sur parole ?
12
10
194
19,264
Bam4d retweeted
72% of the intelligence with 3.8% of the GPUs.
Just to show how talented @MistralAI team is: this shows the "intelligence per GPU" ratio.
- Mistral 4: 3,800 Grace Blackwell (published) 🇫🇷
- GPT-6 Astra: 100,000+ Grace Blackwell (published)
- Grok 4.7: ~200,000 GPUs (estimate)
- Claude Opus 5.5: ~500,000 Trainium2 (estimate)
Proud!
113
245
2,180
162,577
RT @MistralAI: Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model fr…
37
16
Bam4d retweeted
!!!
Hot damn!
Congrats on the AGI, @OpenAI! 😉
kenforthewin.github.io/blog/…
2
4
32
7,602
Bam4d retweeted
Lucas Beyer would be the best AI researcher of all time, if it wasn't for Joseph Suarez
12
4
173
19,261
Bam4d retweeted
Don’t pace building and owning your own AI models and systems as an enterprise, and there will be no doomsday for you
51
129
1,031
87,975
Bam4d retweeted
Today marks a major step for Mistral: we’re announcing a €3B Series D, the largest equity round ever raised by a European tech company, just three years after launch.
385
527
5,396
1,851,040
Bam4d retweeted
alphaxiv.org/abs/2608.leanst…
Leanstral paper now on alphaXiv where we present training and evals in their naked elements.
This happened after it got rejected (!!!) from arXiv for "not having enough scientific contributions".
LoL IDK if arxiv rejection is a new high or a new low in my academic career.
Hello @arxiv I submitted an article (identifier submit/7777513) three weeks ago: It's this paper github.com/mistralai/Leanstr… and it's still on hold.
I've put four papers on arxiv before and they were all smooth. Any explanation for why this time? When can I expect the release?
2
13
106
24,687
Bam4d retweeted
been thinking things over and wonder if i’ve taken this whole longevity thing too far
7,399
2,253
73,838
17,271,671
Bam4d retweeted
I have a better idea. Let's track how many years regulation stalls progress. Then if AI actually solves problems we care about, like cancer and heart disease, let's look around at who in our lives didn't quite make it long enough.
At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone.
We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement.
We hope to contribute to work led by the U.S. government, alongside other labs and the open-source community, to develop the tools and mechanisms that could make that possible.
pacingthefrontier.com
21
28
346
21,479