TL;DRRecursive Superintelligence, a startup founded by former leaders from Meta AI, Google DeepMind, OpenAI, and Salesforce AI, has emerged from stealth with $650 million in funding at a $4.65 billion valuation. Led by Richard Socher and co-founded by ex-Meta FAIR director Yuandong Tian, the company is pursuing recursive self-improvement: AI systems that autonomously improve themselves in an accelerating loop. GV, Greycroft, Nvidia, and AMD backed the round. The startup has fewer than 30 employees and no released product.
The idea that an AI system could improve itself, then use those improvements to improve itself again, faster, in an accelerating loop that eventually outpaces every human researcher on earth, has been a fixture of computer science folklore since at least the 1960s. For most of that time, it remained comfortably theoretical. Now someone has raised $650 million to build it.
Recursive Superintelligence, a startup founded by former leaders from Meta AI, Google DeepMind, OpenAI, Salesforce AI, and Uber AI, emerged from stealth on 13 May with a $4.65 billion valuation and a thesis that would have sounded like science fiction two years ago but now sits squarely within the Overton window of Silicon Valley ambition. The company’s stated mission: build AI systems that can autonomously discover knowledge, continuously optimise themselves, and evolve in an open-ended loop, much like biological evolution, but without the inconvenience of waiting millions of years.
