刚刚，智源全新「悟界」系列大模型炸场！AI第一次真正「看见」宏观-微观双宇宙

Core Viewpoint - The article discusses the advancements in AI technology, particularly focusing on the launch of the "Wujie" series of large models by Zhiyuan Institute, which signifies a shift from digital to physical world modeling and understanding at both macro and micro levels [4][8][40]. Group 1: AI Advancements and Trends - The AI field remains vibrant and rapidly evolving, with significant developments in reinforcement learning and various AI domains such as intelligent agents and multimodal models [2][3]. - The annual Zhiyuan Conference showcased insights from leading experts, including Turing Award winners, on the future paths of AI [3]. - The "Wujie" series represents a new phase in large model exploration, focusing on bridging the gap between virtual and physical worlds [4][7]. Group 2: "Wujie" Series Features - The "Wujie" series includes several key models: Emu3 (multimodal world model), Brainμ (brain science model), RoboOS 2.0 (embodied intelligence framework), and OpenComplex2 (microscopic life model) [6][15][34]. - Emu3 is the first native multimodal world model, integrating various modalities like text, images, and brain signals into a unified representation [14]. - Brainμ is a groundbreaking model in brain science, capable of processing over 1 million neural signal data units and supporting various neuroscience tasks [15][19]. Group 3: Embodied Intelligence Development - The embodied intelligence sector has become a strategic focus, with the introduction of RoboOS 2.0 and RoboBrain 2.0, which enhance the capabilities of embodied AI systems [20][22]. - RoboOS 2.0 introduces a user-friendly framework for developers, significantly reducing the complexity of deploying robotic systems [24]. - RoboBrain 2.0 is noted for its superior performance in task planning and spatial reasoning, achieving a 74% improvement in task planning accuracy compared to its predecessor [27]. Group 4: Microscopic Life Modeling - OpenComplex2 marks a significant advancement in modeling microscopic life, capable of predicting static and dynamic structures of biological molecules [34][38]. - The model has demonstrated its effectiveness by successfully predicting protein structures in a competitive evaluation, showcasing its potential in life sciences [36]. - OpenComplex2 aims to revolutionize drug discovery and biological research by providing a new modeling pathway for understanding molecular dynamics [38]. Group 5: Future Directions - The "Wujie" series reflects a strategic upgrade in AI paradigms, emphasizing the importance of modeling the physical world and integrating various AI domains [40]. - The future of large models is expected to extend beyond traditional applications, influencing systems that understand and change the world [41].