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Group 1 - The core prediction by Lei Jun for 2026 includes the emergence of L3 and L4 level autonomous driving as a significant milestone in the smart automotive sector, alongside the rise of embodied intelligent models in robotics, indicating substantial investment and growth in these areas [2] Group 2 - Zeekr has established a sales service company in Xining with a registered capital of 10 million RMB, focusing on the sales of new energy vehicles and related services [2] - Qijun Automotive has announced its first model named GT7, which will feature advanced technology including Huawei's top-tier laser radar and L3 level intelligent driving architecture, set to debut on March 17 [2] - WeRide has deepened its strategic cooperation with Geely to deliver 2,000 units of the upgraded Robotaxi GXR by 2026, marking a significant step towards global commercial operation of Robotaxis [2]

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Core Viewpoint - The development of L3 and L4 autonomous driving requires intelligent road infrastructure and cloud computing technology platforms to support the process [1] Group 1 - The chairman of the China Association for Science and Technology and the World New Energy Vehicle Congress, Wan Gang, emphasized the need for a closed-loop system where driving situations and responses are uploaded to a cloud platform for large model training [1] - The upgraded capabilities from the cloud must be fed back to the vehicle to enhance autonomous driving capabilities effectively [1]