Tesla(US:TSLA) 3 6 Ke·2025-10-10 07:57Core Viewpoint - The article discusses a new investigation by the National Highway Traffic Safety Administration (NHTSA) into Tesla's Full Self-Driving (FSD) system, raising concerns about its potential to cause traffic safety violations and accidents, particularly the risk of "diminished intelligence" with prolonged use of the system [1][6]. Investigation Details - NHTSA has opened an investigation into FSD, prompted by user complaints and media reports, focusing on traffic safety violations while FSD is engaged [2]. - The investigation covers approximately 2,882,566 Tesla vehicles equipped with FSD, which could lead to a recall if issues are confirmed [2][10]. Types of Violations - The investigation highlights two main types of violations: 1. Ignoring red lights, with 18 complaints confirmed, including 4 incidents resulting in injuries [2][3]. 2. Incorrect lane usage, such as entering oncoming traffic lanes or ignoring road signs, with another 18 complaints reported [3][10]. Incident Reports - A total of 58 reports of FSD-related traffic safety violations have been documented, resulting in 23 injuries [3][8]. - Notably, a testing agency found that while FSD performed well in initial tests, issues arose after extended use, leading to dangerous situations [6][11]. System Evaluation - NHTSA's review will assess the FSD system's ability to warn users of upcoming actions, response times, and its recognition of traffic signals and lane markings [10]. - The investigation will also evaluate whether over-the-air updates affect FSD's compliance with traffic laws [10]. Historical Context - This investigation is part of a series of ongoing inquiries into Tesla's FSD, with previous investigations addressing various incidents and compliance issues [13]. - The typical duration for such investigations is at least 18 months, indicating a slow regulatory response to rapidly evolving AI technology [15]. Future Implications - The outcome of the investigation may not significantly impact Tesla, as the company has historically navigated regulatory challenges effectively [11][15]. - The evolving nature of AI technology poses challenges for traditional regulatory frameworks, which may struggle to keep pace with advancements in systems like FSD [15].