Core Insights - The VLA (Visual-Language-Action) model faces challenges in training due to the scarcity and complexity of physical world data, which is essential for enhancing its capabilities [2] - The shift from a machine-centered to a human-centered AI research paradigm is necessary for training embodied intelligence models [2] Group 1: ACE Paradigm - The ACE (Action-Centric Embodiment) paradigm focuses on human interaction with the physical world as the starting point for research, utilizing environmental data collection as a core engine [3] - The ACE framework integrates first-person and third-person video, haptic information, motion trajectories, and voice data to create a physics-based 3D asset library [3] Group 2: Open Source Model - The "Awakening World Model 3.0" has been released as an open-source and commercially applicable model, aiming to unify understanding across different domains by integrating physical laws, human behavior, and real machine actions [5] - The platform supports 11 major categories and 54 subcategories, covering 115 types of embodied scenarios, allowing developers to quickly generate visual task simulations with simple commands [5] Group 3: Industry Collaboration - The company collaborates with various robotics firms to integrate the ACE paradigm and world model with hardware solutions tailored for different scenarios [6] - Partnerships with domestic chip manufacturers enhance the computational capabilities of the Awakening World Model 3.0 [6] Group 4: Market Applications - In the short term, the focus will be on deploying quadruped robots with autonomous navigation capabilities in security and inspection sectors [6] - The medium-term strategy includes addressing labor-intensive logistics scenarios, while long-term goals involve exploring applications in home environments, contingent on resolving safety and liability issues [6] Group 5: Industry Trends - The ACE paradigm aligns with trends observed in companies like Tesla and Figure AI, indicating a significant opportunity in the sector over the next one to two years [7]