到2026年1月，这家公司在员工不足10人的情况下，以40亿美元（约280亿人民币）的估值筹集了 3.35亿美元（约23亿人民币）。批评人士指出，真正的自我改进型AI尚未实现，目前只能处理一些 特定的任务。然而，投资者显然相信他们已经发现了具有变革意义的技术。 这家总部位于加州帕洛阿尔托的公司成立仅两个月后就获得了这笔融资。Ricursive 于去年 12 月初 完成了种子轮融资，筹集了 3500 万美元，估值达到 7.5 亿美元。 Lightspeed Venture Partners领投了最新一轮融资，DST Global、NVentures（英伟达的风险投资部 门）和Felicis Ventures也参与了投资。 49 Palms、Radical AI和红杉资本也参与了投资。红杉资本 领投了 Ricursive 的种子轮融资。 公众号记得加星标⭐️，第一时间看推送不会错过。 谷歌两位研究员安娜·戈尔迪和阿扎莉娅·米尔霍塞尼开发了一种能够改进芯片设计的AI。她们设想了 一种革命性的技术——AI能够设计出更优秀的芯片，并在这种循环中不断训练出更智能的AI，从而 实现无限的改进。2025年，她们创立了Ricu ...

Core Viewpoint - Ricursive Intelligence aims to revolutionize chip design by using AI to autonomously create advanced chips, which could lead to a self-reinforcing cycle of AI and chip development, significantly impacting the AI and semiconductor industries [1][3]. Company Overview - Ricursive Intelligence was founded by former Google researchers Anna Goldie and Azalia Mirhoseini, both of whom have extensive backgrounds in AI and chip design [5][6]. - The founders previously led the AlphaChip project at Google, which introduced a novel reinforcement learning method for chip layout design, enabling faster and more efficient chip creation [8][10]. Technological Innovation - The core innovation of Ricursive Intelligence lies in applying recursive intelligence principles to complex chip design, aiming to automate the entire design process, which traditionally takes 2-3 years and costs hundreds of millions of dollars [11]. - The company plans to streamline chip design into three phases, allowing any tech company to design custom chips from scratch in a matter of weeks or even days [12]. Market Potential and Investment - Ricursive Intelligence has attracted attention from over 50 venture capital firms and secured $35 million in funding from Sequoia Capital and Striker Venture Partners, achieving a valuation of $750 million before launching any products [12]. - The startup is positioned to disrupt the $800 billion chip industry by optimizing the most time-consuming aspects of chip design and enabling companies without dedicated design teams to create custom chips for various applications [13].