智源研究院发布“悟界”系列大模型：让AI看见并理解物理世界

Core Insights - The Beijing Zhiyuan Conference showcased the latest developments in AI, including the release of the "Wujie" series of models by the Zhiyuan Research Institute, which aims to advance AI's understanding of the physical world [2][4] - The director of Zhiyuan, Wang Zhongyuan, emphasized that the next phase of AI development requires moving beyond language models to multi-modal world models that can perceive and interact with the physical environment [4][5] Model Releases - The "Wujie" series includes four models: Emu3, Brainμ, RoboOS 2.0, and RoboBrain 2.0, each designed to enhance AI's capabilities in understanding and interacting with the physical world [2][3] - Emu3 utilizes a new visual tokenizer technology to unify the representation of text, images, and videos, allowing AI to process them in a cohesive manner [3] - Brainμ aims to serve as a new engine for neuroscience research and clinical applications, integrating over one million neural signal data units [3] - RoboOS 2.0 improves performance by 30% compared to its predecessor, enabling faster integration of developer plugins and enhancing real-time response capabilities [3] - OpenComplex2 targets life sciences by simulating molecular movements at atomic resolution, potentially accelerating drug development and biological research [3] Strategic Partnerships and Goals - Zhiyuan has signed a strategic cooperation agreement with Hong Kong Investment Management Company to foster talent, technology, and capital collaboration [6] - The organization is committed to open-source and international collaboration, having already open-sourced 200 models with a total of 640 million downloads [7] - Wang Zhongyuan highlighted the importance of patience and sustained capital investment for long-term goals, despite short-term commercialization challenges [5][6]