Arthur Mensch(@arthurmensch)

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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