AI, like oil in the 20th century, is about to become the main source of leverage and power in the world. Depending on how the coming years unfold, it will lead either to a world of wealth and abundance for all, or to the worst economies
@arthurmensch
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Improving AI Systems without External Control and Managed Costs
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We work with companies and governments worldwide to ensure their AI systems operate and remain operational outside any external control, improve with each new model version, and benefit from a cost structure
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Beautiful summer model, fat but sparse family, early access in July
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First of all, we have a beautiful model arriving this summer – we hope it will delight and surprise with some abilities. It will be the beginning of a new family of models, fat indeed, but sparse. We are opening an early access program in July for the
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Open-weight: essential for trust and innovation
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This model and the following ones will be open-weight. We believe this is essential for the trust of our customers and for research and developer communities. You cannot own, inspect, audit, or improve a system to which you are not authorized to
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Voxtral TTS Research Paper Published
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Voxtral TTS paper is out! it's a good read 🙂 [Translated from EN to English]
→ View original post on X — @arthurmensch, 2026-03-27 15:32 UTC
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Mistral CEO advocates AI companies pay content levy in Europe
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Mistral CEO: AI companies should pay a content levy in Europe ft.trib.al/hKU8k0g | opinion
→ View original post on X — @arthurmensch, 2026-03-20 12:01 UTC
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Mistral AI joins NVIDIA Nemotron Coalition for open source AI models
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Looking forward to building frontier open source AI models together with @Nvidia as we join the Nemotron Coalition and start training the first base models.
→ View original post on X — @arthurmensch, 2026-03-16 23:24 UTC
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Mistral releases LeanStral, 6B parameter Lean code agent
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mistral.ai/news/leanstral Excited to share what the formal team @MistralAI has been building for the last couple of months: an Apache 2 Lean code agent with 6B active parameters. Outperforms open models like Qwen3.5, GLM5, Kimi-K2.5, and very competitive against Claude 4.6. Use for free in Mistral-Vibe: “` $ uv tool install mistral-vibe –upgrade $ vibe / leanstall “` enjoy the lean mode via shift+tab!
→ View original post on X — @arthurmensch, 2026-03-16 19:48 UTC
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Arthur Mensch joins Mistral AI to advance LLM reasoning
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I am excited to share that I have started a new adventure at @MistralAI, a leading frontier lab, where I am working on pushing further the agentic reasoning capabilities of LLMs.
→ View original post on X — @arthurmensch, 2026-03-05 14:09 UTC
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Mistral AI: Sovereign Intelligence Over Big Tech Dependency
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While Silicon Valley obsesses over AGI, @MistralAI is betting that big enterprises and sovereign nations will want to own, not rent, their intelligence
— Matt Turck (@mattturck) 12 février 2026
My conversation with co-founder & CTO Timothee Lacroix (@tlacroix6), for his first US podcast ever
Was reminded during this… pic.twitter.com/yLEExuGG7GWhile Silicon Valley obsesses over AGI, @MistralAI is betting that big enterprises and sovereign nations will want to own, not rent, their intelligence My conversation with co-founder & CTO Timothee Lacroix (@tlacroix6), for his first US podcast ever Was reminded during this conversation that Mistral is barely 2.5 years old – remarkable 00:00 — Intro 01:27 — Mistral vs. The World: From Research Lab to Sovereign Power 03:48 — Inside Mistral Compute: Building an 18,000 GPU Cluster 08:42 — The Trillion-Dollar Question: Competing Without a Big Tech Parent 10:37 — The Reality of Enterprise AI: Escaping "POC Purgatory" 15:06 — Why Mistral Hires Forward Deployed Engineers (FDEs) 16:57 — The Contrarian Take: Why "Agents" are just "Workflows" 19:35 — Trust & Autonomy: The Truth About Agent Reliability 21:26 — The Missing Stack: Governance and Versioning for AI 26:24 — When Will AI Actually Work? (The 2026 Timeline) 30:33 — Beyond Chat: The "Banger" Sovereign Use Cases 35:46 — Mistral 3 Architecture: Mixture of Experts vs. Dense 43:12 — Synthetic Data & The Post-Training Bottleneck 45:12 — Reasoning Models: Why "Thinking" is Just Tool Use 46:22 — Launching DevStral 2 and the Vibe CLI 50:49 — Engineering Lessons: How to Build Frontier AI Efficiently 56:08 — Are Enterprises Ready for AGI? & The Future of Intelligence
→ View original post on X — @arthurmensch, 2026-02-12 16:31 UTC