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Core Insights - The article discusses the advancements in autonomous driving technology, particularly focusing on the development and implementation of VLA (Vehicle-Like Action) systems, highlighting the transition from perception-based approaches to VLA-based methodologies [14]. Group 1: VLA Development - The article reflects on the evolution of VLA technology over the past year, noting a shift from academic research to practical applications in the industry, culminating in the announcement of Xiaopeng's VLA 2.0 [14]. - It emphasizes the importance of VLA as a means to enhance the driving experience by mimicking human-like decision-making processes, akin to a "sixth sense" in driving [14]. Group 2: Research and Collaboration - The article mentions collaborative research efforts, such as the paper from The Chinese University of Hong Kong (Shenzhen) and Didi, which proposes a method for efficient reconstruction of dynamic driving scenes [14]. - It highlights the significance of ongoing discussions and knowledge sharing within the autonomous driving community, as seen in the roundtable discussions featuring industry experts [14].