Join us!
BTW tinker is hiring researchers & infra experts!
research: jobs.ashbyhq.com/ThinkingMac…
systems: jobs.ashbyhq.com/ThinkingMac…
Join us!
We're hiring safety researchers at @thinkymachines! 🦺
My team works on safety across the model development stack -- pre-training data filtering, harmful capability evals, safety post-training, red-teaming, abliteration/malicious fine-tuning.
We're particularly interested in building evals and tooling to make strong safety cases for open-weights releases. We think this is where some of the most important safety research will happen in the next few years.
If any of this resonates, apply here: jobs.ashbyhq.com/ThinkingMac…
Ruila Ma retweeted
We’re growing our evaluation team at @thinkymachines. We care a lot about whether models are actually useful and whether our measurements are good enough to serve as the y-axis for scaling research.
We’ll work across a wide range of problems and support several workstreams, including building signal-bearing internal evals for predictive scaling, turning real user feedbacks and product workflows into evals that close usability gaps, auditing graders and harnesses, and developing new benchmarks for customizability.
If you want to work on this, apply here: jobs.ashbyhq.com/ThinkingMac…
Ruila Ma retweeted
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/int…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Ruila Ma retweeted
We started Thinking Machines a year and a half ago with a couple of instincts: that people should have much more ability to customize models and do research on them, and that even as AI becomes more autonomous, there's a lot more to build to make humans and AIs work well together.
A lot has happened since then, especially the massive progress in agents, so we wanted to revisit those instincts in light of everything we've learned, argue about them, and write down what we actually believe now.
This is where we landed after a lot of debate. I'm happy with it!
We're building AI that people and organizations can shape and make their own. AI should extend our will and judgment instead of neglecting it; enabling that is the technical challenge we are working to solve.
thinkingmachines.ai/blog/the…
Ruila Ma retweeted
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
Ruila Ma retweeted
I’ve left Google DeepMind.
The last two years have been an incredible whirlwind.
A couple years ago, I joined a small startup called Codeium. There, I got to ship Windsurf, train SWE-1 (a frontier agentic coding model), go to DeepMind in the $2.4B acquisition. Now, I decided to leave the acquisition money and DeepMind.
I’m grateful to the mentors, teammates, and friends I worked with along the way.
At Windsurf, thanks to @_mohansolo and Douglas Chen, I got to see what a fast moving startup that ships relentlessly and builds for the future looks like. I learned from @thenickmoy how excellent research leadership can drive outsized innovation.
At DeepMind, I got to push the frontier of agentic coding, be part of the amazing team that shipped Antigravity and contributed to Gemini 3. DeepMind is a rare place: deeply curious people, exceptional research taste, and access to enormous compute and Google-scale infrastructure.
A few things that I learned:
1. Finding the right hill to climb. Now more than ever, there are a multitude of directions to push the frontier in AI research. It’s easy to optimize for the wrong benchmark or capability. You should step back regularly to question if you are climbing the right hill, and adjust course often.
2. The secret to being a fast-moving team. Moving quickly is not just about working hard and long hours. It requires making concrete bets about where the world will be in 6 months, aligning around them, and cutting everything else. This was our journey from the Codeium Extension → Windsurf IDE → SWE-1 → Antigravity → Antigravity CLI
3. Silicon Valley is small. Since the split of Windsurf to DeepMind and Cognition, many of my colleagues have gone to other exciting places - Thinking Machines, OpenAI, xAI, Cursor, fast-moving startups, or started their own companies. I’m grateful to have worked with so many talented, hungry people whose stories are not yet finished.
So what’s next?
We are living in one of the most exciting and powerful times in human history. Just like we transformed software engineering, soon every industry, every unit of work will be radically transformed, democratized, accelerated. With this comes new challenges, and new doors of frontier research to be opened.
More soon.
Ruila Ma retweeted
Sharing our work on full-duplex multimodal models -- real-time interaction that's natural and intuitive without compromising on intelligence.
We started Thinky in part to differentially advance capabilities for human-AI collaboration, which are underemphasized relative to intelligence/autonomy because they're harder to eval.
In the future, we think every AI system will have something like an interaction model as the outer user-facing layer, continually keeping the user informed and learning what they actually want.
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…
What if working with AI felt less like a chat box and more like talking to another person? Today we're sharing a preview of how we think about humans and AI collaborating together at @thinkymachines, with full-duplex models that handle interactivity natively.
It's still early, and we have a lot more to do ahead of us!
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…
Ruila Ma retweeted
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…
Ruila Ma retweeted
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…
Ruila Ma retweeted
We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI.
thinkingmachines.ai/news/nvi…
Ruila Ma retweeted
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/
Ruila Ma retweeted
I’ve been telling people this a lot today: I enjoy so much working with people who care about what they are building and craftsmanship. It is a privilege to have a chance to work on something I’m passionate about, beyond making a living. I cherish it and don’t take it for granted.
Ruila Ma retweeted
Tinker is now generally available. We also added support for advanced vision input models, Kimi K2 Thinking, and a simpler way to sample from models.
thinkingmachines.ai/blog/tin…
Ruila Ma retweeted
Claude Sonnet 4 is back via first party support from @AnthropicAI!
Available at 2x credits (limited time discount) per request for Pro and Teams users. That’s 250 requests a month!
Ruila Ma retweeted
Cognition has signed a definitive agreement to acquire Windsurf.
The acquisition includes Windsurf’s IP, product, trademark and brand, and strong business. Above all, it includes Windsurf’s world-class people, whom we’re privileged to welcome to our team.
We are also honoring their talent and hard work in building Windsurf into the great business it is today. This transaction is structured so that 100% of Windsurf employees will participate financially. They will also have all vesting cliffs waived and will receive fully accelerated vesting for their work to date.
At Cognition we have focused on developing robust and secure autonomous agents, while Windsurf has pioneered the agentic IDE. Devin + Windsurf are a powerful combination for the developers we serve. Working side by side, we’ll soon enable you to plan tasks in an IDE powered by Devin’s codebase understanding, delegate chunks of work to multiple Devins in parallel, complete the highest-leverage parts yourself with the help of autocomplete, and stitch it all back together in the same IDE.
Cognition and Windsurf are united behind a shared vision for the future of software engineering, and there’s never been a better time to build. Welcome to our new colleagues from Windsurf!





















