递归超级智能的自我改进AI赌注：产品未发布前估值46.5亿美元，融资6.5亿美元

做的是什么生意

Recursive Superintelligence is an AI research lab building systems that autonomously experiment, identify their own limitations, write their own benchmarks, and rewrite their own code to become more capable, starting with the science of AI itself.

启动资金：$650M early round at a $4.65B valuation, co-led by GV and Greycroft with participation from Nvidia and AMD (announced May 13, 2026).

起因

In late 2025, as Meta cut around 600 AI roles on Oct 22, former Meta FAIR research director Yuandong Tian joined ex-Salesforce chief scientist Richard Socher and researchers with roots at OpenAI, Google DeepMind and Meta — including Tim Rocktäschel, Alexey Dosovitskiy, Jeff Clune, Tim Shi and Caiming Xiong — to found Recursive Superintelligence with offices in San Francisco and London and a team under 30.

经过

After the FT reported a $500M round at a $4B valuation in April 2026, Recursive emerged from stealth on May 13, 2026 with $650M at a $4.65B valuation, co-led by GV and Greycroft with participation from Nvidia and AMD. The NYT reported that notable researchers, including Peter Norvig, had joined the effort.

可借鉴之处

当产品本身就是实验室时，资本给创始人研究背景定价：6.5亿美元、46.5亿美元估值给了一个产品未上市的初创公司，其首要目标是构建具有5万名博士能力的系统。