Core Insights - The article discusses the rising discussions around the next-generation solutions for autonomous driving, focusing on the concepts of VLA (Vision-Language Alignment) and world models [2][3]. Group 1: Event Overview - A significant roundtable discussion is planned, bringing together diverse perspectives from academia and industry to explore VLA and world models in depth [3]. - The event will cover various forms of world models and VLA, advancements in industry applications, and the potential integration of both concepts [3]. Group 2: Key Speakers - Xu Lingyun, a PhD from the Chinese Academy of Sciences and a postdoctoral researcher at Carnegie Mellon University, will share insights on intelligent driving algorithms and has led multiple production projects [4]. - Jiang Anqing, a PhD from Waseda University and a senior algorithm scientist at Bosch, will discuss VLA and closed-loop algorithms [5]. - Zhang Zhipeng, founder of AutoLab at Shanghai Jiao Tong University, will contribute as an assistant professor and PhD advisor [5]. Group 3: Discussion Topics - The event will feature discussions on the essence of world models by NIO's Ren Shaoqing, Tesla's latest advancements in FSD (Full Self-Driving) at ICCV, and the training closed-loop of world models by Li Auto [6]. - Highlights will include the impressive real-world performance of Horizon Robotics' HSD and NVIDIA's latest VLA work [6]. Group 4: Future Directions - The article raises questions about whether the future of autonomous driving will move towards a unified integration of world models and VLA [11]. - It also addresses the increasing demand for data and computing power, which poses challenges for academic participation in autonomous driving research [11].

Core Insights - The article discusses advancements in autonomous driving technology, particularly focusing on the development of the Visual-Language-Action (VLA) framework and world models, highlighting the contributions of various experts in the field [1][2][3][4][5]. Group 1: Key Contributors - Jian Kun, a senior director at Li Auto, has built the autonomous driving technology stack from scratch since joining in 2021, achieving milestones such as Highway NoA in 2022 and City NoA in 2023 [1]. - Xu Lingyun, a PhD from the Chinese Academy of Sciences, leads the parking team at Changan Automobile, focusing on autonomous driving perception and end-to-end system research [2]. - Jiang Anqing, a senior algorithm scientist at Bosch, leads research on VLA and closed-loop algorithms [3]. Group 2: Technological Developments - The discussion includes the potential integration of world models and VLA, questioning whether a unified approach is feasible [8]. - The high demand for data and computing power is making it increasingly difficult for academia to participate in intelligent driving advancements, raising questions about future opportunities in the academic sector [8]. Group 3: Event Highlights - A live discussion on the future of autonomous driving technologies, including insights on Tesla's FSD v14 and its implications for domestic technology [4][5]. - The event featured a deep dive into the reliability of VLM in autonomous driving, with expert opinions on data closed-loop engineering [12].