The China EV100 Forum (2025), recently convened in Beijing, centered on the themes of electrification, intelligence, and high-quality development. During the event, Wu Hequan, an academician of the Chinese Academy of Engineering, elaborated on the intelligent transportation system, which encompasses single-vehicle intelligence, the Internet of Vehicles (IoV), and cloud computing. He underscored the pivotal role of IoV in facilitating seamless vehicle-road-cloud coordination. In addressing the challenge of L5-level autonomous driving training, which necessitates vast quantities of real-world data, Wu Hequan advocated for retaining a portion of this data to circumvent the issue of "inbreeding" within AI-generated datasets. He further proposed the implementation of data deduplication and AI-assisted annotation technologies to mitigate training costs. Regarding the computational demands, he noted that L5 autonomous driving places exceptionally high requirements on computational power, which can be optimized through advanced techniques such as sparse architecture. Additionally, Wu Hequan emphasized the need for the state to spearhead the establishment of a unified national autonomous driving training model, aiming to minimize redundant investments and streamline the development process.