Mistral AI
also referred to as: mistral
includes Mistral Sabah
11 statements across 5 episodes · 8 bullish · 0 bearish · 3 people on the record · first statement Dec 28, 2023 by Arthur Mensch · said 42 times in 19 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Marc Andreessen (5), Anjney Midha (5), Jensen Huang (4), Ben Horowitz (4), Simon Moe (3), Arthur Mensch (3), Steph Smith (2), Jeff Schmidt (2)
tap a year for its mentions
2026 5 mentions in 2 episodes 3 per episode
2025 17 mentions in 9 episodes 2 per episode
- Jensen Huang & Arthur Mensch: Why Every Nation Needs Its Own AI Strategy
- Reid Hoffman on AI, Consciousness, and the Future of Labor
- Will LLMs Get Us To AGI?
- This Week in AI: GPT-5 Ships, 4o Pulled Back, Grok Imagine Goes Social
- Can AI Solve Healthcare's Urgent Workforce Challenges? w/ Ankit Jain
- Marc Andreessen Reveals His Biggest Wins and Mistakes at a16z
- The Top 100 GenAI Products, Ranked and Explained
- Who Will Own the Internet? a16z’s Chris Dixon on AI and Crypto
- 1 more episode that year, every mention in 2025 →
2024 11 mentions in 6 episodes 2 per episode
- The Quest for Community-Trained Open Source AI Models
- Marc Andreessen & Andrew Chen Talk Creative Computers
- The Top 100 GenAI Consumer Apps
- Build Your Startup With AI
- Politics & the Future of Tech
- America Needs More Techno-Optimism, with Marc Andreessen and Tyler Cowen
- every mention in 2024, scene by scene →
2023 9 mentions in 2 episodes 5 per episode
Everything said about Mistral AI, oldest first
Dec 28, 2023
Mensch: Mixtral has 46B total parameters but executes 12B per token
“You have eight experts per layer and you execute only two of them. So what it means at the end of the day is that you have a lot of parameters on your model. You have forty six billion parameters, but the thing is that the number of parameters that you execute…”
Dec 28, 2023 positive
Dec 28, 2023 positive
Mensch: Pre-trained AI models should be neutral without creator bias
“Pre-trained models should be neutral, and we should empower our customers to take these models and just put their editorial approaches, their instruction, their constitution, if you want to talk like entropy, Into the model. So that's the way we approach the t…”
Dec 28, 2023 bullish
Mistral AI plans to monetize through an open-core business model
“As a business, we do need to have a valid monetization approach at some point. But we've seen many businesses build open core approaches and have, A very strong open source community, and also a very good offer of services, and that's what we want to build.”
Dec 28, 2023 positive
Mar 13, 2024 bullish
Apr 2, 2024 bullish
Horowitz: France resists EU AI rules to protect local startup Mistral
“France turns out to be leading a revolution in Europe on AI regulatory, where they're basically telling the EU to pound sand you know, and a large reason because they have a company there, Mistral, and, you know, they, it's a national, national jewel for the c…”
May 9, 2024 neutral
Horowitz: Only researchers can tell top AI models apart
“I think if you look at the very top models you know, Claude and OpenAI and Mistral and Lama The only people who I feel like really can tell the difference as users amongst those models are the people who study them. You know, like they're getting pretty close.”
Mar 20, 2025 positive
Mensch: Mistral AI helps France's unemployment agency match job seekers
“We're working, for instance, with the French unemployment system to actually connect opportunities of jobs to unemployed, unemployed people through AI agents that are being actionated by, obviously, human operators within the agency.”
Mar 20, 2025
Mensch: AI companies must run on distinct product and scientific frequencies
“You have fast frequencies on the product side. It's iterating every week. And you have slow frequencies on the science side that are looking at why profoundly the product is failing on certain domains and how they could fix it through research, through new dat…”
Mar 20, 2025 bullish
Mensch: Asynchronous AI workloads will drive massive new compute demand
“We are moving to, towards workloads that are more and more asynchronous. So workloads where you give a task to an AI system, and then you wait for it to do, like, 20 minutes of research before returning. So that's definitely changing a bit the way you should b…”