Recursive Superintelligence Raises $650 Million to Build Self-Improving AI
Recursive Superintelligence, a four-month-old startup founded by former leaders from Meta AI, Google DeepMind, OpenAI, and Salesforce, has emerged from stealth with $650 million in funding. Valued at $4.65 billion, the company aims to develop AI systems capable of recursive self-improvement, autonomously optimizing themselves in an accelerating loop. The investment round was led by GV and Greycroft, with strategic participation from chipmakers Nvidia and AMD, signaling strong industry confidence in the technology's near-term viability. Led by Richard Socher and co-founded by Yuandong Tian, the team includes prominent AI researchers like Tim Rocktaschel and Alexey Dosovitskiy. With fewer than 30 employees and no released product, the startup plans to first train a system equivalent to 50,000 doctors to automate AI scientific research. This development marks a significant shift from theoretical computer science concepts to tangible commercial ambition, as top talent bets on AI systems that can eventually outpace human researchers through compounding development velocity.
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