世界实验室（World Labs）是一家致力于开发深度学习模型的领先企业，这些模型旨在帮助人类更好地理解物理世界。今天，这两家公司宣布，世界实验室已被AMD以82亿美元的价格收购。
World Labs, one of the leading developers of deep learning models intended to understand physical reality, has been acquired in a $8.2 billion deal, the two companies said today.
世界实验室在一份声明中解释了此次收购的必要性，指出人工智能的发展需要“模型研究、系统开发以及计算能力之间的紧密合作”。AMD则表示，通过了解世界实验室所开发的先进技术，该公司能够更好地规划自身的芯片研发路线。
World Labs justified the deal in a statement saying that AI development required “close collaboration across model reseach, systems and compute.”AMD, in turn, says that understanding frontier workloads like those created at World Labs will shape its chip-making roadmap.
收购完成后，世界实验室的创始人李飞飞（Fei-Fei Li）将加入AMD，担任执行副总裁兼首席科学家。去年，两家公司就已经建立了在推理优化和模型训练方面的合作关系，并一直保持着密切的合作关系。值得一提的是，李飞飞在今年早些时候还作为嘉宾出席了AMD在CES上的技术发布会。
The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist. The two companies formed an inference optimization and training partnership last year, and ties have remained close. Notably, Li was a guest at AMD’s CES presentation earlier this year.
作为斯坦福大学的计算机科学教授，李飞飞被誉为人工智能领域的先驱，尤其是在计算机视觉领域。她因开创了ImageNet数据库及后续的相关研究项目而备受赞誉。2024年，她创立了世界实验室，旨在开发出能够更深入理解物理世界的深度学习模型，并认为真正的通用智能需要基于物理学原理，并具备超越文本数据的理解与推理能力。
Li, a Stanford computer science professor, is considered a pioneer of AI, particularly computer vision, for her role pioneering the ImageNet database and subsequent challenges. In 2024, Li founded World Labs to develop deep learning models with a more robust understanding of reality, arguing that true general intelligence required a grounding in physics and the ability to understand and reason about data beyond text.
在宣布收购的公告中，李飞飞表示，这次合作是为了将世界实验室的技术突破从实验室层面推广到更广泛的领域。“既然我们已经看到了这些技术的可能性，我们就应该尽一切努力加速未来的发展，”她写道，“为此我们需要扩大我们的研究规模，拓展影响力，并加强与硬件的协同。”所谓“World模型”其实是一个涵盖范围广泛的术语——它既包括那些能够理解视觉输入的语言模型，也包括那些能够生成高保真模拟环境的模型。
In a post announcing the deal, Li described the partnership as the result of a desire to scale World Labs’ technical breakthroughs beyond the lab. “Now that we have tangible proof of the possibilities, we want to do everything we can to accelerate the future,” Li wrote in the post. “To do this requires scaling our efforts, widening our reach, and getting closer to the hardware.”“World model” remains a loose term, encompassing everything from language models trained to understand visual inputs, to models capable of generating and sustaining a high-fidelity simulation of reality.
世界实验室的首款产品“Marble”不仅可用于创造娱乐体验，还可用于为机器人训练提供模拟环境。
World Labs’ first product, Marble, is pitched for creating entertainment experiences, but also for the ability to create simulated environments for robot training.
此次收购有望帮助 AMD 与长期以来的竞争对手 Nvidia 在构建针对人工智能（AI）专用芯片的生态系统方面展开竞争。虽然 Nvidia 已经拥有一系列开源的全球模型（如 Cosmos），但 AMD 到目前为止仅向公众提供了基于文本和视频的模型。
The acquisition is likely to help AMD compete with long-standing rival Nvidia in creating an ecosystem for AI-specific chips. While Nvidia already has a suite of open-weight world models like Cosmos, AMD has only offered text- and video-based models to the public.
这些全球模型在将生成式 AI 模型应用于各种机器人平台（从自动驾驶汽车到工业机器人，再到通用型人形机器人）的过程中起着至关重要的作用。尤其是由于用于训练通用型机器人的可用数据极为匮乏，因此来自这些全球模型的合成数据将成为实现特斯拉（Tesla）和 Figure 等公司所提出的目标的关键。
World models are seen as vital in efforts to deploy generative AI models on robotic platforms, from autonomous vehicles to industrial robots and general-purpose humanoids. In particular, the dearth of useful data to train general purpose robots means that synthetic data from world models will be key to realizing the vision put forward by companies like Tesla and Figure.
此次收购预计将在年底前完成，具体时间取决于监管机构的审批结果。
The acqusition is expected to close before the end of the year, subject to regulatory approval.