雷军发声

Core Viewpoint - The article discusses the suggestions made by Lei Jun, founder and CEO of Xiaomi, during the National People's Congress, focusing on the high-quality development of the new energy vehicle and artificial intelligence industries, aiming to inject vitality into these sectors and promote their advancement towards higher quality and standardization [1][2]. Group 1: Suggestions for the Automotive Industry - Lei Jun emphasizes the need to accelerate the mass production of autonomous driving vehicles, proposing nationwide testing and verification by 2025, with a goal for mass production applications by 2026 [3]. - He suggests establishing a dedicated insurance system for autonomous vehicles by 2026 to lower barriers for adoption and protect stakeholders [3]. - Lei Jun advocates for a national legal framework for autonomous driving, including unified technical standards to facilitate mass production [3]. - He highlights the importance of building a robust ecosystem for smart connected new energy vehicles, addressing the need for improved charging infrastructure and vehicle hardware standards [4][5]. Group 2: Optimization of New Energy Vehicle License Plates - Lei Jun calls for a review of the design of new energy vehicle license plates to enhance compatibility with diverse vehicle colors and improve functionality, such as incorporating QR codes for traffic information [6]. Group 3: Development of AI Terminal Industry - Lei Jun identifies the rapid growth of the AI terminal industry, suggesting the establishment of a standard system by 2027 and aiming for a leading global standard by 2030 [8][9]. - He emphasizes the need for collaboration among industry players to create unified interface standards and promote seamless integration of AI applications [9]. - Lei Jun urges increased governmental support for AI terminal research and applications to build a competitive ecosystem by 2030 [9]. Group 4: Governance of AI Misuse - Lei Jun raises concerns about the misuse of AI technologies, particularly regarding "AI face-swapping" and voice imitation, advocating for legislative measures to address these issues [10][11]. - He suggests enhancing industry self-regulation and developing technologies to identify deepfake content, alongside public education on AI ethics [11].