王晓刚：物理世界模型用于驾驶辅助训练很重要

Core Insights - The Shanghai Auto Show, held on April 23, focuses on innovation and the future of the automotive industry, showcasing traditional fuel vehicles, new energy vehicles, smart driving, and supply chain technologies [1] - The event highlights the rapid advancement of technologies such as high-level intelligent driving, AI models, and multi-modal perception, with many new technologies and products set to be unveiled [1] Group 1: Industry Trends - The ongoing price war in the automotive sector has extended to supply chain companies, prompting a need for balance between pricing and cost management [3] - The consensus among industry leaders is shifting towards platformization in sensor design, which reduces the need for repetitive development and adaptation for specific vehicle models [4] Group 2: Technological Innovations - The development of generative intelligent driving is seen as a significant opportunity for the industry, addressing limitations of current end-to-end models that require vast amounts of high-quality data [5] - The concept of a "world model" is introduced, allowing for the reconstruction of physical driving scenarios to enhance model training through simulation and reinforcement learning [5][6] - Multi-modal large models are transforming user interaction within smart cabins, enabling more complex and engaging conversations rather than simple one-on-one interactions [6][10] Group 3: Data Utilization - It is noted that 99% of real user data may not be useful for training models, as most driving scenarios involve minimal information gain [7] - The importance of high-quality data is emphasized, with a focus on capturing complex driving behaviors in challenging scenarios [7][8] Group 4: Future Developments - The emergence of proactive interaction capabilities in smart cabins is anticipated to significantly enhance user experience, allowing for multi-party conversations and engagement [10][12] - The integration of AI with hardware is viewed as a trend that could lower costs and improve the overall ecosystem, with a focus on creating a robust software environment [13]