Core Insights - The MogoMind AI model developed by Mushroom Car Union is introduced as a real-time search engine for the physical world, enhancing capabilities beyond traditional digital models [1] - MogoMind integrates various devices to create a comprehensive perception network for real-time understanding of physical information, including road conditions and vehicle statuses [4] Group 1: MogoMind Capabilities - MogoMind can process multimodal information and real-time data from the physical world, addressing limitations of traditional language models that only handle static text [1] - The model supports emergency response to road incidents, provides over-the-horizon traffic alerts, and enhances real-time risk perception in blind spots for both drivers and autonomous vehicles [3] Group 2: Applications and Impact - Mushroom Car Union has launched multiple L4 level mass-produced autonomous vehicles utilizing MogoMind, integrating global perception, deep cognition, and real-time decision-making capabilities [3] - The autonomous buses equipped with MogoMind have successfully operated in 10 provinces across China, covering over 2 million kilometers and serving more than 200,000 passengers [3]