Arthur Mensch(@arthurmensch)

We serve those as well! Sorry if using nuclear energy is a real blocker

Arthur Mensch (@arthurmensch) — Thu, 08 Oct 2026 14:36:12 GMT

We serve those as well! Sorry if using nuclear energy is a real blocker

POLITICOEurope@POLITICOEurope

Berlin-based search engine Ecosia, used by government services, is dropping its French AI partner, Mistral, its CEO told POLITICO.

The company will now bet on open-source models, including those from China.
vist.ly/5mh5y

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We’re building AGI from this train station

Arthur Mensch (@arthurmensch) — Tue, 06 Oct 2026 17:56:44 GMT

We’re building AGI from this train station

Guillaume Lample @ NeurIPS 2024@GuillaumeLample

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

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That one took some groundwork. Trained and served on our own compute, and RL shows no sign of satura...

Arthur Mensch (@arthurmensch) — Tue, 06 Oct 2026 13:29:34 GMT

That one took some groundwork. Trained and served on our own compute, and RL shows no sign of saturation

Mistral AI@MistralAI

Meet Mistral Large 4, aka Le Chonk. 

• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.

Open weights release end of October.

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Excited

Arthur Mensch (@arthurmensch) — Mon, 05 Oct 2026 19:48:08 GMT

Excited

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Only an open ecosystem can guarantee the safety of AI

Arthur Mensch (@arthurmensch) — Mon, 28 Sep 2026 18:36:52 GMT

Only an open ecosystem can guarantee the safety of AI

Jensen Huang@JensenHuang

Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry.

Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come.

But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility.

This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems.

Together, we are building the foundation of the AI economy.

Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m

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Merci d'avoir participé à mon expérience de cartographie des trolls

Arthur Mensch (@arthurmensch) — Tue, 22 Sep 2026 09:33:04 GMT

Merci d'avoir participé à mon expérience de cartographie des trolls

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1 minute pour me répondre, c’est un obsessionnel

Arthur Mensch (@arthurmensch) — Sun, 20 Sep 2026 16:15:37 GMT

1 minute pour me répondre, c’est un obsessionnel

Juan Branco ✊@anatolium

Les petits Dieux de l'IA sont convaincus de leur impunité. 

Ils ont acheté des ministres, fait de l'Elysée leur tête de pont, arraché des milliards en promettant des IA souveraines. 

Si 2027 ne fait pas revenir au peuple le pouvoir, leur pillage les consacrera et nous achevera.

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Nos travaux déplaisent à certaines petites frappes. Celui-là est candidat à l’élection présidentiell...

Arthur Mensch (@arthurmensch) — Sun, 20 Sep 2026 16:01:25 GMT

Nos travaux déplaisent à certaines petites frappes. Celui-là est candidat à l’élection présidentielle 😅

Juan Branco ✊@anatolium

Cédric O, ancien ministre du numérique d'Emmanuel Macron, détient 90 millions d'euros en portefeuille d'actions de Mistral après y avoir investi moins de 200 euros.

Des équipes de l’EPFL ont créé un LLM aussi efficace que Mistral avec moins de 40 millions d’euros.

Mistral a depuis longtemps cessé de développer ses équipes d'ingénierie, s'enferme dans une fuite en avant commerciale qui ne repose quasiment que sur des commandes publiques et parapubliques impulsées par l'Elysée.

Ils mettent à disposition de leur client des modèles chinois, librement téléchargeables, d'avant dernière génération.

Nous sommes face à un scandale industriel majeur impliquant les plus hautes autorités du pays.

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We’re a continent of strategists

Arthur Mensch (@arthurmensch) — Mon, 14 Sep 2026 19:24:05 GMT

We’re a continent of strategists

Lazarz@Laz4rz

no way it's yet another webpage: transformative-ai.eu

fits right next to
accelerate-europe.orgaichampions.eueuro-stack.euopeneurollm.eudigital-strategy.ec.europa.eu/en/policies/eu…digital-strategy.ec.europa.eu/en/news/eu-lau…digital-strategy.ec.europa.eu/en/news/commis…

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Don’t pace building and owning your own AI models and systems as an enterprise, and there will be no...

Arthur Mensch (@arthurmensch) — Mon, 14 Sep 2026 15:48:23 GMT

Don’t pace building and owning your own AI models and systems as an enterprise, and there will be no doomsday for you

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We've just raised 3B€ to scale our training and inference compute, and make open and sovereign AI th...

Arthur Mensch (@arthurmensch) — Tue, 08 Sep 2026 07:56:28 GMT

We've just raised 3B€ to scale our training and inference compute, and make open and sovereign AI the technology frontier. Grateful to everyone who got us there, excited by the fight ahead

mistral.ai/news/mistral-m…

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My cofounder Tim, whom you will not find on X, shares some of the strategic thinking behind our late...

Arthur Mensch (@arthurmensch) — Thu, 13 Aug 2026 20:29:41 GMT

My cofounder Tim, whom you will not find on X, shares some of the strategic thinking behind our latest updates venturebeat.com/infrastructure…

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We've joined the alliance. Open-weight models will ensure that we live in a safer digital world, and...

Arthur Mensch (@arthurmensch) — Mon, 27 Jul 2026 22:16:40 GMT

We've joined the alliance. Open-weight models will ensure that we live in a safer digital world, and that America does not get left behind

Jensen Huang@JensenHuang

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.

During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.

That’s why we created the Open Secure AI Alliance.

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Open weight models will ensure that the entire world benefits from AI growth, and that America does ...

Arthur Mensch (@arthurmensch) — Fri, 24 Jul 2026 22:57:29 GMT

Open weight models will ensure that the entire world benefits from AI growth, and that America does not get left behind

Jensen Huang@JensenHuang

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

images.nvidia.com/pdf/Open-Weigh…

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Leaders are moving to open weight solutions to own their AI deployment and IP. We're here to help, t...

Arthur Mensch (@arthurmensch) — Thu, 23 Jul 2026 21:12:43 GMT

Leaders are moving to open weight solutions to own their AI deployment and IP. We're here to help, thank you for the leads

reuters.com/legal/litigati…

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We’re super excited to announce an expanded global strategic partnership with Microsoft to give ente...

Arthur Mensch (@arthurmensch) — Wed, 22 Jul 2026 00:04:23 GMT

We’re super excited to announce an expanded global strategic partnership with Microsoft to give enterprises and regulated industries frontier AI they can control. 

With this multi-billion dollar commitment from Microsoft, we're accelerating the construction of our AI infrastructure in Europe, to better serve our customers across the globe. 

Combining our complementary strengths, we're making our open-weight models available to Microsoft customers in Copilot Studio, Azure Foundry and Azure Local. One shared goal: bringing our customer to AI-enabled growth, as fast as possible.

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We’re announcing an expanded global strategic partnership with Microsoft to give enterprises and reg...

Arthur Mensch (@arthurmensch) — Tue, 21 Jul 2026 23:51:33 GMT

We’re announcing an expanded global strategic partnership with Microsoft to give enterprises and regulated industries frontier AI they can control. 

With this multi-billion dollar commitment from Microsoft, we're accelerating the construction of our AI infrastructure in Europe, to better serve our customers across the globe. 

Combining our complementary strengths, we're making our open-weight models available to Microsoft customers in Copilot Studio, Azure Foundry and Azure Local.

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https://t.co/mdgAEQBp4i

Arthur Mensch (@arthurmensch) — Fri, 03 Jul 2026 21:31:36 GMT

x.com/i/article/2073…

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AI, just like oil in the 20th century, is about to become the major source of leverage and power in ...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:43 GMT

AI, just like oil in the 20th century, is about to become the major source of leverage and power in the world. Depending on how the coming years unfold, it will either lead to a world of wealth and abundance for all, or to the worst extractive economies that the world has ever seen. We're there to fight for the first scenario, as we progress AI research and accelerate its diffusion across the world – we're hiring if you like the quest.

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We're working with companies and governments around the world to make sure their AI systems are up a...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:42 GMT

We're working with companies and governments around the world to make sure their AI systems are up and running outside of external control, improving with each model release, and with an efficient cost structure. Forge allows to continuously train models based on recorded human-AI interaction, a key unlock for efficiency.

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We've built Studio (for deployment) and Forge (for training) as portable products, and are now hosti...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:41 GMT

We've built Studio (for deployment) and Forge (for training) as portable products, and are now hosting them on infrastructure we control. We'll run in your VPC, your datacenter, or on our infrastructure that is decoupled from US service providers. We have capacity online, it's growing fast, and we can help you secure it.

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First, we have a nice model coming this summer – we hope it will delight and surprise in a few capab...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:40 GMT

First, we have a nice model coming this summer – we hope it will delight and surprise in a few capabilities. This will be the start of a new family of models, fat indeed, but sparse. We're opening up an early access program in July for key partners in research, government and the industry.

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This model and upcoming ones will be open-weight. We believe this is critical for our customer confi...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:40 GMT

This model and upcoming ones will be open-weight. We believe this is critical for our customer confidence and for the research and developer communities. You cannot own, inspect, audit, or improve a system you are only permitted to reach through someone else's interface, especially if data recording can no longer be turned off.

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We somehow got put in the spotlight the last few days! First we'd like to thank the organizers of th...

Arthur Mensch (@arthurmensch) — Tue, 16 Jun 2026 15:58:39 GMT

We somehow got put in the spotlight the last few days! First we'd like to thank the organizers of the AI show for that, we can't get enough of this stuff. I'll say a few things about where we are and what we do.

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It's actually le gros chaton

Arthur Mensch (@arthurmensch) — Mon, 15 Jun 2026 09:44:08 GMT

It's actually le gros chaton

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Looking forward to building frontier open source AI models together with @Nvidia as we join the Nemo...

Arthur Mensch (@arthurmensch) — Mon, 16 Mar 2026 23:24:00 GMT

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.

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SOTA open-source vibe coding from your home.

Arthur Mensch (@arthurmensch) — Tue, 09 Dec 2025 15:19:51 GMT

SOTA open-source vibe coding from your home.

Mistral AI@MistralAI

Introducing the Devstral 2 coding model family. Two sizes, both open source.
Also, meet Mistral Vibe, a native CLI, enabling end-to-end automation.
🧵

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AI needs to be connected to the physical world, proud to be supporting !

Arthur Mensch (@arthurmensch) — Tue, 30 Sep 2025 19:26:02 GMT

AI needs to be connected to the physical world, proud to be supporting !

Liam Fedus@LiamFedus

Today, @ekindogus and I are excited to introduce @periodiclabs.

Our goal is to create an AI scientist.

Science works by conjecturing how the world might be, running experiments, and learning from the results.

Intelligence is necessary, but not sufficient. New knowledge is created when ideas are found to be consistent with reality. And so, at Periodic, we are building AI scientists and the autonomous laboratories for them to operate.

Until now, scientific AI advances have come from models trained on the internet. But despite its vastness — it’s still finite (estimates are ~10T text tokens where one English word may be 1-2 tokens). And in recent years the best frontier AI models have fully exhausted it.

Researchers seek better use of this data, but as any scientist knows: though re-reading a textbook may give new insights, they eventually need to try their idea to see if it holds.

Autonomous labs are central to our strategy. They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else. They generate valuable negative results which are seldom published. But most importantly, they give our AI scientists the tools to act.
We’re starting in the physical sciences.

Technological progress is limited by our ability to design the physical world.

We’re starting here because experiments have high signal-to-noise and are (relatively) fast, physical simulations effectively model many systems, but more broadly, physics is a verifiable environment. AI has progressed fastest in domains with data and verifiable results - for example, in math and code. Here, nature is the RL environment.

One of our goals is to discover superconductors that work at higher temperatures than today's materials. Significant advances could help us create next-generation transportation and build power grids with minimal losses. But this is just one example — if we can automate materials design, we have the potential to accelerate Moore’s Law, space travel, and nuclear fusion.

We’re also working to deploy our solutions with industry. As an example, we're helping a semiconductor manufacturer that is facing issues with heat dissipation on their chips. We’re training custom agents for their engineers and researchers to make sense of their experimental data in order to iterate faster.

Our founding team co-created ChatGPT, DeepMind’s GNoME, OpenAI’s Operator (now Agent), the neural attention mechanism, MatterGen; have scaled autonomous physics labs; and have contributed to some of the most important materials discoveries of the last decade. We’ve come together to scale up and reimagine how science is done.

We’re fortunate to be backed by investors who share our vision, including @a16z  who led our $300M round, as well as @Felicis, DST Global, NVentures (NVIDIA’s venture capital arm), @Accel and individuals including @JeffBezos , @eladgil , @ericschmidt, and @JeffDean. Their support will help us grow our team, scale our labs, and develop the first generation of AI scientists.

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We're back to school! Very proud of our team accomplishments, and honored to partner with @ASMLcompa...

Arthur Mensch (@arthurmensch) — Tue, 09 Sep 2025 07:33:14 GMT

We're back to school! Very proud of our team accomplishments, and honored to partner with @ASMLcompany in our next phase. We're very excited to push frontier AI capabilities in science and technology, with exciting releases ahead.

Mistral AI@MistralAI

We’ve raised €1.7B to accelerate technological progress with AI!

This Series C funding round, led by @ASMLcompany, fuels Mistral AI scientific research to keep pushing the frontier of AI to tackle the most critical technological challenges faced by strategic industries.

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Complex matters slowly coming together — we actually got surprised ourselves

Arthur Mensch (@arthurmensch) — Sat, 23 Aug 2025 06:12:56 GMT

Complex matters slowly coming together — we actually got surprised ourselves

Mistral AI@MistralAI

Mistral Medium 3.1 just landed on @lmarena_ai leaderboard—punching way above its weight! 

🏆 #1 in English (no Style Control)
🏆 2nd overall (no Style Control)
🏆 Top 3 in Coding & Long Queries
🏆 8th overall

Small model. Big impact. Try it now on Le Chat and the API!

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Introducing the world's best edge models. https://t.co/nAExVy0fPZ

Arthur Mensch (@arthurmensch) — Wed, 16 Oct 2024 14:56:27 GMT

Introducing the world's best edge models. mistral.ai/news/ministrau…

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Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fl...

Arthur Mensch (@arthurmensch) — Wed, 19 Jun 2024 09:35:56 GMT

Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fly. I like that :)

Rohan Paul@rohanpaul_ai

Open Interpreter's new release looks great for locally running LLMs

The tool lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing.

Just do `pip install open-interpreter`

and then just run 

`- interpreter --local` sets up fast, local LLMs.

Congrats @hellokillian  👏

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