LI AUTO(US:LI) 理想TOP2·2025-08-12 13:50Core Insights - The article discusses the performance and user experience of the Li Auto's VLA (Vehicle Lane Assist) system compared to Tesla's FSD (Full Self-Driving) system, highlighting that while VLA shows promise, it still falls short of the seamless experience provided by FSD in certain scenarios [1][2][3]. Experience Evaluation - The experience is divided into three parts: driving in a controlled environment with no driver present, a one-hour public road test, and a two-hour self-selected route test [1]. - Feedback from users indicates that the VLA system provides a comfortable and efficient experience, particularly in controlled environments, but its performance in more complex road scenarios remains to be fully evaluated [2][3]. User Feedback - Users noted a significant difference in the braking experience of VLA, describing it as smooth and seamless compared to traditional driving, which enhances the perception of safety and comfort [3][4]. - The article emphasizes that the initial goal for autonomous driving systems should be to outperform 80% of average drivers before aiming for higher benchmarks [4][5]. Iteration Potential - The VLA system is believed to have substantial room for improvement compared to its predecessor, VLM, with potential advancements in four key areas: simulation data efficiency, maximizing existing hardware capabilities, enhancing model performance through reinforcement learning, and improving user voice control experiences [6][7]. - The article suggests that the shift to reinforcement learning for VLA allows for targeted optimizations in response to specific driving challenges, which was a limitation in previous models [8][9]. User Experience and Product Development - The importance of user experience is highlighted, with the assertion that in the AI era, product experience can be as crucial as technical capabilities [10]. - The voice control feature of VLA is seen as a significant enhancement, allowing for personalized driving experiences based on user preferences, which could improve overall satisfaction [10].