Mistral AI, every mention
62 scenes, the whole family · ← back to Mistral AI
tap a year for its mentions
every year anyone Alessio Fanelli 17Shawn Wang 13Pratik Bhavsar 4Dylan Patel 4Guillaume Lample 3Andrew Feldman 3Elie Bakouch 2Barak Lenz 2Anjney Midha 2Youssef Rizk 1
Verbatim, from the transcripts: the passages where Mistral AI comes up
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 34:54 Anjney Midha Because when I, if I've been, like, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral, and Black Forest Labs get started, I think at this point I'm on six or seven…
- ▶ 37:25 Anjney Midha Like, you, you are an athlete of the mind, and you perform at the highest levels, and to get there, whether you're, you know, Anastasius or Waylon at Berkeley, or you are Robin, who, with Black Forest and created Stable Diffusion, or if…
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 28:21 Shawn Wang Like, you guys invested in Mistral, and Mistral's doing extremely well. 2 times in the scene
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 0:41 unnamed speaker As well as Guillaume and Pavan from Mistral. 2 times in the scene
- ▶ 3:38 unnamed speaker What did you find that you have to sort of revisit from scratch as you joined Mistral and started doing this? 2 times in the scene
- ▶ 16:43 unnamed speaker How does it fit into broader Mistral vision?
- ▶ 19:45 unnamed speaker I know you guys have a whole, like, you have Forge, you have a whole stack of customizing, deploying. 2 times in the scene
- ▶ 25:16 unnamed speaker That's the mistraw pitch right there.
- ▶ 32:56 Guillaume Lample Uh, so these were separate artifacts built by different teams at Mixtral, and now what we are doing is basically merging all of this. 2 times in the scene
- ▶ 37:49 unnamed speaker I was like, I don't, this doesn't fit my mental model, Mr. 2 times in the scene
- ▶ 46:22 Guillaume Lample I think when we started Miss Hall, part of me and then also Timothy, we wanted to, you know, recreate this very nice environment where people are there, they can do research they like, uh, with like a lot of resources, so, so it was nice.
- ▶ 46:58 unnamed speaker What's the, uh, like, you know, what are you looking for that you're trying to join the company? 6 times in the scene
- ▶ 53:43 unnamed speaker Well, everyone should go check out everything that Michelle has to offer and try the TTS model, which we'll link in the show notes.
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 41:01 Shawn Wang Uh, I think Mr.
[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
- ▶ 5:25 unnamed speaker Um, there are services that like, like Mistrel that have their APIs, those are probably- Mistrel OCR, Omo OCR.
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 35:06 Elie Bakouch Uh, and, uh, we tried with Megatron and we, we benchmarked, like, for example, the Mistral architecture with the, the, the Queen's three, uh, this one. 2 times in the scene
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 8:01 Shawn Wang Mistral and mixed trial. 3 times in the scene
Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21
- ▶ 14:53 Barak Lenz While Jumba Mini, again, people that worked with Mistral could do it, but most people preferred Mistral. 2 times in the scene
⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- ▶ 8:14 Andrew Feldman The guys at Mistral in the closed source world benefit from. 2 times in the scene
- ▶ 21:22 Andrew Feldman Whether it's you guys or AlphaSense or, or Mistral or, or, or any of the others, that's what is really important that, that, that you guys do.
⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo
- ▶ 9:37 Pratik Bhavsar Apart from that, on the open source side, I would say that I was very impressed by Mistral's entry into the ecosystem. 4 times in the scene
Information Theory for Language Models: Jack Morris
- ▶ 51:22 Shawn Wang It seems like when we are doing things like calling a small model, like a 27 B model as small, like that's what Mr. 2 times in the scene
- ▶ 1:05:39 Shawn Wang Mistral does it pretty frequently.
The Shape of Compute (Chris Lattner of Modular)
- ▶ 43:01 Shawn Wang Um, I, I don't know how to make this happen, but like, I think you win when Mistral, Meta, Deep Seek, and Quinn adopts you and like ship you natively, right?
Browserbase: Browser Infrastructure For Your AI Agents
- ▶ 11:29 unnamed speaker The Mistral chat.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 28:38 Shawn Wang Zero capabilities, and it's sudden emergence of GPT-IV.
- ▶ 1:15:51 Shawn Wang We started this, uh, last year, uh, this time last year with the Mistral price war of 20, 23, um, with, uh, Mistral going from dollar 80 for, per token down to dollar 27, uh, when the, in the span of like a couple weeks. 2 times in the scene
Best of 2024: Synthetic Data / Smol Models, Loubna Ben Allal, HuggingFace [LS Live! @ NeurIPS 2024]
- ▶ 14:20 Loubna Ben Allal The original Instruct model that was released by MIS-Troll.
Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- ▶ 16:12 Luca Soldani Um, and I think there'd been replication doing that on top of Mistrol as well.
- ▶ 26:38 unnamed speaker Um, yeah, I'm super excited to be here to talk to you guys, uh, about Mistral. 6 times in the scene
- ▶ 27:43 unnamed speaker Um, first of all, in February, we released, uh, Mr. Small, Mr. Large, uh, Lachette, which is our chat interface. 3 times in the scene
Best of 2024 in Vision [LS Live @ NeurIPS]
- ▶ 54:58 unnamed speaker This is the year that vision language models became mainstream, with every model from GPT-Forty to One, to Claude Three, to Gemini One, and Two, to Llama 3.2, to Mistral's Pix-Trol, to AI-Two's Pixmo, going multimodal.
The State of AI Startups in 2024 [LS Live @ NeurIPS]
- ▶ 3:33 Pranav Reddy Uh, the Mistral folks had just launched the Mixtral model right before the beginning of NeurIps.
Agents @ Work: Lindy.ai (with live demo!)
- ▶ 57:43 unnamed speaker Mistral. 5 times in the scene
[Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz
- ▶ 1:09:31 unnamed speaker Uh, the second one is, like, a, a chat with, like, Mistral CEO, Arthur Mensch.
[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
- ▶ 52:17 unnamed speaker I think there's also the Mistral stuff, so if anyone wants to lead, pop in there.
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- ▶ 16:40 Alessio Fanelli I'm curious to get your thought on Mistral.
- ▶ 16:47 Alessio Fanelli They, they just released the, you know, Mistral large enough. 10 times in the scene
- ▶ 16:47 Alessio Fanelli They, they just released the, you know, Mistral large enough. 4 times in the scene
- ▶ 52:54 Alessio Fanelli Uh, they partner with Mistraw to add that in.
- ▶ 1:10:29 unnamed speaker Two days ago, and the whole thing has moved, and Mistral was like deprecating their old models that used to be in the old frontier.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 6:30 Thomas Scialom It's like, to connect the dots with what we said before, the last author was Guillaume Lample, who founded Mistral.
- ▶ 18:40 Alessio Fanelli I think there's a lot of chatter obviously about synthetic data and like, uh, there was the rephrase the web paper that came out maybe a few months ago about using, you know, Mastral to make training data better.
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 44:34 unnamed speaker Because it wasn't obvious to me, like, uh, you know, a lot of the other co-workers went to OpenAI, others went to, you know, like, the, if you're fair, you went to Mistral, you know, that kind of stuff, right?
How to train a Million Context LLM — with Mark Huang of Gradient.ai
- ▶ 10:26 Mark Huang Before, when, when it first got released, uh, 8000 context length just seemed like it was too short, because it seemed like Mistral, and even Yi came out with like a 2000 token, uh, uh, model, context length, uh, model.
- ▶ 36:42 unnamed speaker Um, you know, use, use Mistral to rephrase some existing part of your data set to generate more tokens, anything like that, or, or any other form of synthetic data that you, that you choose to mention?
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
- ▶ 1:06 unnamed speaker Second, we'll share the world's first talk from Rob Heisfield on WebSIM, which started at the Mistral Cerebral Valley Hackathon, but now has gone viral in its own right with people like Dylan Field,
- ▶ 26:56 unnamed speaker The generative website browser-inspired WorldSim started at the Mistral Hackathon and presented at the AGI House Hyperstition Hack Night this week.
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 37:01 unnamed speaker Otherwise, it's a sparkling distillation, which is, which is what News Research is doing. 2 times in the scene
- ▶ 43:49 Soumith Chintala Um, Lama one, I think, was, yeah, Guillaume Lompol and team Guillaume is fantastic, uh, and went on to build Mistral.
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- ▶ 1:01:43 unnamed speaker Um, going from, like, mixed trial being eight experts, um, to, like, the DeepSeq MOE models, I don't know if you saw them, being, like, 30, 60 experts, and you can see it keep going up, I guess.
- ▶ 1:06:08 unnamed speaker So you, you basically use their versions of Lama to use their versions of Mistral. 2 times in the scene
- ▶ 1:13:57 unnamed speaker Because if Lama II wasn't open source today, like, if Mistral was not open source, we would be in a bad spot, you know, so.
Building an open AI company - with Ce and Vipul of Together AI
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- ▶ 1:17:41 unnamed speaker One thing I wanted to make sure I cover before we leave this topic, DPO, you know, one of the DPO models that we're trained, apart from Zephyr and Mixed Draw, which is two of the more high profile ones, is Tulu from 2 times in the scene
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 9:27 Dylan Patel Like, companies like Mistral, and like, what Meta are doing, you know, Mosaic, and, and, you know, all these folks together, blah, blah, blah, right?
- ▶ 25:25 Dylan Patel You know, like Mistral, right?
- ▶ 30:29 Dylan Patel Because Mistral just showed him up, right? 2 times in the scene
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- ▶ 38:03 Michael Royzen Like, more data, bigger model, all of, like, the instruction tuning techniques, RLHF, um, all of that is known, and, like, Meta, for example, and now there's all these other startups, like Mistral, too.
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
- ▶ 1:13:11 Youssef Rizk Same with Mistral.