AI Judge changed title after evaluation, original title: "Tim Rocktäschel co-founds Recursive to automate AI research"
Other researchers voiced support for the Recursive effort.
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
Users are thrilled about Recursive raising $650M and recruiting top AI researchers like Jeff Clune and Dominik Schmidt to build safe self-improving AI, praising the team as exceptional and the mission as exciting.
Today we launch Recursive.
We are building AI that discovers knowledge automatically and improves itself recursively, an open-ended process that will fundamentally change how science and technology advance.
Our 25 top researchers and engineers in San Francisco and London bring diverse expertise spanning agentic AI scientists, architecture and algorithm design, world models, optimization, and interpretability, united by a shared conviction that this is the most important problem we could be working on today.
If you are interested in joining, please send your resume to talent@recursive.com. Follow us at @Recursive_SI!
http://x.com/i/article/2054589416744812544
Thrilled to share that we founded Recursive to create AI that safely conducts experiments on how to improve itself in an open-ended process of endless, automated scientific discovery. As I wrote in my 2019 AI-generating algorithms paper, this will likely be the fastest path to superintelligence. Our work since has shown the power of this approach. Excited to scale up and improve upon ideas like the Darwin Gödel Machine, HyperAgents, ADAS, OMNI, ALMA, The AI Scientist, PromptBreeder, Rainbow Teaming, Automated Capability Discovery, and other work on open-ended and AI-generating algorithms. We’ve assembled a dream team of researchers and significant resources to pursue this vision. My amazing co-founders are pictured here, and we have an all-star team of founding members (we’re over 25 and growing).
Please join us if you are interested! Follow our progress @Recursive_SI
Today @Recursive_SI emerges from stealth to build self-improving superintelligence.
Founded by @RichardSocher, @_rockt, @jeffclune, @timshi_ai, @tydsh, @CaimingXiong, Alexey Dosovitskiy & @josh_tobin_, @aixventureshq backed them from day one.
The company is building AI that safely improves itself, in an open-ended process of automated scientific discovery.
Read more in the @nytimes: https://www.nytimes.com/2026/05/13/technology/notable-researchers-join-4-billion-effort-to-build-self-improving-ai.html
http://x.com/i/article/2054633656803844096
Recursive, the company building recursive self-improving superintelligence, has one of the most goated AI teams in history.
Tim Rocktäschel, Co-Founder: helped invent Retrieval-Augmented Generation, Rainbow Teaming, Promptbreeder, and Genie 3.
Jeff Clune, Co-Founder: wrote the Darwin Gödel Machine and HyperAgents papers.
Tim Shi, Co-Founder: Cresta Co-Founder & CTO.
Josh Tobin, Co-Founder & CTO: led work at OpenAI on ChatGPT Agents, Codex, and Deep Research.
Caiming Xiong, Co-Founder: co-inventor of prompt engineering.
Alexey Dosovitskiy, Co-Founder: co-inventor of the Vision Transformer.
Yuandong Tian, Co-Founder: former RL Lead at Meta.
some news: I've joined @Recursive_SI as a member of the founding team in London.
We are building safe, recursively self-improving intelligence. So excited about our discoveries so far and even more so about everything that lies ahead.
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
Today we have come out of stealth @Recursive_SI 🥷
Excited to build with an incredible team in London and SF joining many threads I've been lucky to work on: AI Scientists, agentic self-improvement and open-endedness towards systems that can perform research on themselves! 🧑🔬
I think the key questions are:
- Is it better if powerful AI is made sooner or later? (It's will happen eventually.) - What's the best way to make powerful AI go better? The best levers may not be shifting things sooner or later.
This essay doesn't answer these questions. 1/
http://x.com/i/article/2054633656803844096
wrapped up my phd at meta/ucl early and joined an amazing set of folks @recursive_si
we're building self-improving superintelligence using the science of scaling and open-endedness. come build it with us!
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
Today we’re launching Recursive (@Recursive_SI)
We’re building AI that automates science, starting with the science of how to improve itself.
I’ve spent a lot of time building AI products and tools for AI teams. One thing that has always stood out is how much progress depends on the experimental loop: deciding what to try, implementing it, running it, understanding what happened, and repeating.
Recursive is automating that loop, safely and at scale.
Excited to work on this with an incredible team across SF and London.
I’ve joined Recursive to build self-improving AI. AI that safely improves itself through an open-ended journey toward superintelligence.
Some updates: I've joined Recursive as a member of the founding team.
My core curiosity about the world centers on how complex patterns and knowledge emerge from the two open-ended processes we know: natural and cultural evolution. I've been lucky to explore this during my PhD through works like ADAS, Darwin Gödel Machine, and The AI Scientist. Excited to keep chasing this thread with the incredible team!
NYT Article on @Recursive_SI!
https://www.nytimes.com/2026/05/13/technology/recursive-superintelligence-funding-ai.html
Today, we’re excited to launch Recursive (@recursive_si): an exceptional team across London and San Francisco, building AI systems that can safely improve their own capabilities over time.
In his 1964 book Summa Technologiae, Stanisław Lem argued that humanity will hit an “information barrier” — a point where the volume and fragmentation of information exceed humanity’s ability to filter, interpret, and integrate it into a coherent body of knowledge.
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
Some news: I’ve moved to London to join @Recursive_SI! 🚀 I'm excited to be building with this incredible team on a mission of recursive self-improvement and open-endedness, aiming to ultimately automate scientific discovery. 🧑🔬
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
Life update: I’ve joined @Recursive_SI as part of the founding team, based in San Francisco.
At Recursive, we’re building safe, recursively self-improving superintelligence to automate knowledge discovery.
Grateful to be part of this team ❤️, and excited for what’s ahead 🔥.
Congratulations to @Recursive_SI on announcing their $650M raise at a $4.65 billion valuation today, led by @GVteam, @nvidia, @AMD etc -- marking one of the largest formation rounds in history.
@RichardSocher, @_rockt , @josh_tobin_, @jeffclune, @timshi_ai, Alexey Dosovitskiy, @CaimingXiong , @tydsh have build the ultimate team to tackle recursive superintelligence.
Every few decades, a radical new technology accelerates an era of human innovation. I’m increasingly convinced self-improving superintelligence is the fire of the next innovation Renaissance. In a world where the narrative revolves around agents and job automation, what I love about @Recursive_SI’s mission is that they change the narrative -- knowledge discovery and innovation is not a zero-sum game.
Thanks for letting me be a part of the journey. Just a few months ago, the Recursive team was working out of my living room. The sheer momentum and speed they've scaled at to date is a testament to the talent density and conviction of the team.
The team converges the inventors of the biggest breakthroughs in the open-endedness, recursive self-improvement, and frontier models of the last decade: Darwin Godel Machine, Codex, DeepResearch, Genie 1/2/3, ImageNet, Vision Transformers, and more. Alongside the best researchers and leaders from @OpenAI , @GoogleDeepMind , @Meta , and more.
Stacked and just getting started.
Personal update: I’ve joined @Recursive_SI as a member of the founding team.
We’re working on safe, recursively self-improving intelligence. I’m excited by what we’ve learned so far, and even more excited for the work ahead!
AI Judge changed title after evaluation, original title: "Tim Rocktäschel co-founds Recursive to automate AI research"
Other researchers voiced support for the Recursive effort.
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
