李飞飞,刚刚又融70亿
3 6 Ke·2026-02-20 07:31

Core Insights - World Labs, founded by Fei-Fei Li, has completed a new financing round of $1 billion, bringing its valuation to $5 billion within just 16 months of establishment [1][2][4]. - The company has attracted significant investments from major players like NVIDIA and AMD, as well as new investors including Autodesk, which invested $200 million [3][4]. - World Labs aims to focus on robotics and scientific discovery, actively recruiting engineers to develop core technologies for autonomous navigation and 3D reconstruction [4][5]. Company Overview - World Labs was founded by Fei-Fei Li, a prominent figure in AI, who previously initiated the ImageNet project that significantly advanced deep learning in computer vision [5][6]. - The company has raised a total of approximately $2.3 billion in funding since its inception, with its latest round pushing its valuation to $5 billion [4][6]. - The founding team includes notable scientists and alumni from prestigious institutions, reflecting a strong academic and professional background [6][8]. Product and Technology - World Labs launched its first commercial product, Marble, which generates persistent 3D worlds from various input formats using advanced technologies like Neural Radiance Fields (NeRF) [4][5]. - The business model is based on a freemium approach, allowing users to generate content for free up to four times, with paid plans available for $95 per month [4]. - The company is set to collaborate with Autodesk to enhance its research and modeling capabilities, aiming to build physical AI that enhances human creativity [5][8]. Industry Context - The AI sector is experiencing a wealth creation surge, with companies like Anthropic and Databricks achieving valuations of $380 billion and over $134 billion, respectively [9][11]. - In China, AI companies like Zhiyuan and MiniMax have seen their market capitalizations soar, reflecting the global trend of rising valuations in the AI industry [11]. - The current investment landscape prioritizes "AI content" as a key evaluation criterion for projects, indicating a strong market focus on AI-driven innovations [11].