Core Viewpoint - Tesla's CEO Elon Musk's retweet of a driving assistance test video by Dongche Di sparked significant attention, highlighting the performance of various brands' driving assistance systems in China, where Tesla achieved the highest score without local training data [1][3]. Group 1: Test Results and Controversy - The driving assistance test conducted by Dongche Di involved nearly 40 models from over 20 brands, with an average pass rate of only 35.74% across 15 simulated high-risk driving scenarios [3][4]. - The test results raised questions about the testing methodology, with some industry professionals suggesting that the design and control of variables were inadequate [6]. - Dongche Di clarified that the test results only reflect the collision outcomes during the simulated scenarios and do not represent the overall performance of the vehicles in all driving assistance situations [6][4]. Group 2: Industry Standards and Regulations - Current driving assistance systems are not capable of handling certain complex and dangerous traffic scenarios, necessitating that users remain ready to take control of the vehicle [7][8]. - The Ministry of Science and Technology has emphasized the need for accurate and objective communication regarding the capabilities of driving automation systems, discouraging exaggerated claims [8][10]. - The China Automotive Industry Association has called for standardized marketing practices to prevent misleading representations of driving assistance features [10][12]. Group 3: Terminology and Consumer Awareness - Many automakers have been criticized for marketing L2 level driving assistance systems as "autonomous driving," leading to regulatory scrutiny [8][10]. - Recent adjustments in terminology by various companies, including Tesla, reflect a shift towards more accurate descriptions of their systems, moving away from terms like "autonomous driving" to "driving assistance" [10][12]. - Experts stress that all current market offerings are L2 level systems, requiring constant driver attention and responsibility in case of accidents [12].

Core Viewpoint - Xiaomi has changed its vehicle ordering page terminology from "Intelligent Driving" to "Assisted Driving" in response to stricter regulatory policies and safety considerations [4][5][6]. Regulatory Changes - The Ministry of Industry and Information Technology (MIIT) held a meeting on April 16, announcing that terms like "Intelligent Driving" and "Autonomous Driving" cannot be used loosely, as they may lead to misunderstandings. Car manufacturers must adopt the terminology "Assisted Driving" or "Intelligent Driving Level + Assisted Driving" [6]. Safety and Responsibility - The previous use of "Intelligent Driving" led to consumer confusion with "Autonomous Driving," resulting in potential misuse. An incident involving the Xiaomi SU7 highlighted the risks associated with vague terminology. The name change aims to clarify functionality and reduce the risk of user errors [7]. - The China Association of Automobile Manufacturers issued a statement urging car manufacturers to adhere to the national standards for advertising and naming driving assistance features, emphasizing the importance of clear and responsible communication to prevent dangerous misuse [7]. Industry-Wide Impact - Xiaomi's renaming is part of a broader trend, with several other car manufacturers also adjusting their terminology. Tesla, BYD, Li Auto, Horizon Robotics, and XPeng have all modified their promotional language to align with the new regulatory standards [8]. - This wave of renaming represents a significant shift in the intelligent driving industry, emphasizing safety and accountability in advertising practices [8].