Core Viewpoint - The integration of Vision-Language Action (VLA) and World Model (WM) technologies is becoming increasingly evident, suggesting a trend towards unification rather than opposition in the field of autonomous driving [3][5][7]. Group 1: Technology Trends - VLA and WM are seen as complementary technologies, with VLA focusing on abstract reasoning and WM on physical perception, both essential for achieving advanced General Artificial Intelligence (AGI) [4]. - Recent academic explorations have demonstrated the feasibility of combining VLA and WM, with notable projects like DriveVLA-W0 showcasing successful joint training [4]. - The future training pipeline for Level 4 (L4) autonomous systems is expected to incorporate VLA, Reinforcement Learning (RL), and WM, indicating the necessity of all three components [5]. Group 2: Community and Learning Resources - The "Autonomous Driving Heart Knowledge Planet" community has been established to provide a comprehensive platform for learning and sharing knowledge in the autonomous driving sector, with over 4,000 members and plans to expand to nearly 10,000 [10][28]. - The community offers a variety of resources, including video content, learning routes, and Q&A sessions, aimed at both beginners and advanced practitioners in the field [10][12]. - A detailed compilation of over 40 technical routes and numerous datasets related to autonomous driving is available, facilitating quicker access to essential information for newcomers and experienced professionals alike [29][48]. Group 3: Job Opportunities and Networking - The community has established a job referral mechanism with various autonomous driving companies, allowing members to connect with potential employers easily [22]. - Regular discussions and insights from industry leaders are part of the community's offerings, providing members with valuable perspectives on career development and industry trends [14][107].