Recursive Superintelligence raises $650m at $4.65bn valuation to build self-improving AI

"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."

"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."

"The round was led by GV, Alphabet's venture capital arm, and Greycroft, with participation from Nvidia and AMD, the two chipmakers whose hardware underpins virtually all frontier AI training. The involvement of both companies is notable: strategic investment from the firms that sell the picks and shovels suggests they see recursive self-improvement not as a theoretical curiosity but as a near-term compute customer."

"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."

Recursive Superintelligence emerged from stealth with $650 million in funding and a $4.65 billion valuation. The company is led by Richard Socher and co-founded by Yuandong Tian, with a team drawn from major AI organizations. Its mission is to create AI systems that autonomously discover knowledge, continuously optimize themselves, and evolve in an open-ended loop. The approach is framed as analogous to biological evolution but without long timescales. Investors include GV and Greycroft, with participation from Nvidia and AMD, indicating interest from major AI hardware providers. The company has fewer than 30 employees and has not released a product yet.

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