理想发布会三小时，最狠的是：VLA 要上路了？！

Core Viewpoint - The article discusses the launch of the Li Auto i8, highlighting its significant upgrades in assisted driving features and the introduction of the VLA (Vision-Language-Action) model, marking a milestone in the development of end-to-end autonomous driving technology [2][4]. Summary by Sections VLA Model Capabilities - The VLA model enhances three main capabilities: better semantic understanding (multimodal input), improved reasoning (thinking chains), and closer alignment with human driving intuition. It focuses on four core abilities: spatial understanding, reasoning ability, communication and memory ability, and behavioral ability [4][5]. Industry Outlook - The demand for VLA/VLM model algorithm experts is projected to be high, with salaries ranging from 40K to 70K for those with 3-5 years of experience and a master's degree. Top technical talents, especially PhD graduates, can expect salaries between 90K to 120K [13]. Learning Challenges - The article outlines the challenges faced by newcomers in the field of end-to-end autonomous driving, including the complexity of the technology stack and the fragmented nature of available knowledge. It emphasizes the need for a structured learning path to navigate the vast amount of literature and practical applications [16][17]. Course Introduction - A new course titled "End-to-End and VLA Autonomous Driving" has been developed to address the learning challenges. The course aims to provide a quick entry into the field, build a framework for research capabilities, and combine theory with practical applications [17][18][19]. Course Structure - The course consists of several chapters covering the history and development of end-to-end autonomous driving, background knowledge on relevant technologies, and detailed discussions on various paradigms such as one-stage and two-stage end-to-end methods. It also includes practical assignments to reinforce learning [23][24][25][26]. Expected Outcomes - Upon completion of the course, participants are expected to reach a level equivalent to one year of experience as an end-to-end autonomous driving algorithm engineer, with a solid understanding of key technologies and the ability to apply learned concepts to real-world projects [33].