I'm joining SpaceX and xAI, working closely with Elon and team to build superintelligence. Together SpaceX and xAI combine physical and digital intelligence under a leader who understands hardware at the deepest level. Add a high-agency culture with frontier-scale resources, and you get the possibility to achieve something truly unique. I’m excited to advance the fields I’ve obsessed over for years, from robotics research to building AI models on the founding teams of Mistral and TML. Both were extraordinary journeys with extraordinary people that shaped how I think about building intelligence from the ground up. Grateful for everything that brought me here and can’t wait to get started.

We are back again :) After three weeks of quiet building. Introducing Genesis World 1.0, our latest simulation platform, the second release in our full-stack suite. Open-sourced. Robotics is still bottlenecked by the 1× speed of the physical world. Every model, checkpoint, and data recipe eventually needs to be tested on physical hardware, slowly, expensively, and with limited coverage. One hour in reality can become 100 days in simulation. That is how robotics model iteration moves from a wall-clock bottleneck to a compute problem. To make this work, simulation has to be both fast and trustworthy. Over the past year, we rebuilt the entire stack: a GPU-accelerated cross-platform compiler, penetration-free multi-physics contact solvers, unified rigid and deformable physics, and a photo-realistic renderer purpose-built for physical AI applications. We built Nyx, a high-performance path-traced rendering engine for robotics application. Genesis World 1.0 achieves near realtime performance with our latest development for penetration-free IPC solver, supporting various types of deformables beyond rigid bodies. It supports contact-rich, dexterous manipulation simulation across different embodiments: unitree, sharpa, wuji, genesis hand and various types of grippers. Under the hood is Quadrants, our effort in pushing forward cross-platform GPU-accelerated computation. Quadrants started as a fork of Taichi, and we rebuilt most of the critical parts for optimizing simulation workloads, giving 10x faster launch time and up to 4.6x runtime performance compared to the initial Genesis release. Together, they bring us to an unprecedentedly low sim-to-real gap, enabling zero-shot real-to-sim model evaluation and much faster iteration of GENE. All available today. Genesis World 1.0: github.com/Genesis-Embodied-… Quadrants: github.com/Genesis-Embodied-… Nyx: github.com/Genesis-Embodied-…

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. thinkingmachines.ai/blog/int…

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.

We've raised $9.1 million at a $500 million post-money valuation from Marco Mascorro, Adam D'Angelo, and Devendra Chaplot.

Excited to work with the incredible team at Cursor

The iteration speed of Elon companies is indescribable There is nothing else like it in the West

Welcome to @xAI!

Grateful to Jensen and @nvidia team for their support. Together, we’re working to deploy at least 1GW of Vera Rubin systems, bringing adaptable collaborative AI to everyone. thinkingmachines.ai/nvidia-p…

Four Qwen 3.5 models from @Alibaba_Qwen are now live on Tinker. Qwen 3.5 introduces hybrid linear attention that enables long context windows, as well as native vision input.

To support open and collaborative science, we offer Tinker grants for researchers advancing the field. This week we’re featuring publications by some of our early research grant recipients! thinkingmachines.ai/blog/tin…

Custom fine-tuning has boundless applications. This week’s roundup shows Tinkerers taking models in unexpected directions, from science research to fun and games (literally).

Excited to see @emergentlabs hit $100M ARR in just 8 months, one of the fastest ramps I’ve seen. I was fortunate to invest early and work closely with the team. The speed, clarity, and ambition here are rare. This is just the beginning, excited for what comes next!

Our second roundup of community projects highlights all things RL, from tutorials to APIs to cutting-edge research.

Kimi K2.5 vision support is live and we've updated the Tinker Cookbook to match. Enjoy!

Kimi K2.5 is now available to train on @tinkerapi! tinker-docs.thinkingmachines… Vision support coming soon.

Since Tinker launched, our community has used it to train state-of-the-art models, build infrastructure, and publish novel research. We will be highlighting this creative work in regular roundups, and hope to inspire your own Tinkering as well.

We’ve loved watching the Tinker community grow, and we're excited to have a place to share product updates, helpful recipes, and spotlights on the amazing things Tinkerers are building. Get started with Tinker here: thinkingmachines.ai/tinker/

15 months ago I didn't expect I'd start another company so soon Then I saw how many great ideas never make it past day one Today, we’re announcing a $70M Series B for @emergentlabs from @khoslaventures & @SoftBank Here's the story of how we got here (thread) ⬇️