Core Viewpoint - The article emphasizes the advancements in Tesla's world model and its implementation of FeedForward GS, which significantly enhances the efficiency and accuracy of 3D scene reconstruction compared to traditional methods [2][4]. Group 1: Tesla's Technological Advancements - Tesla utilizes FeedForward GS to create 3D scenes directly from visual inputs, reducing optimization time from 30 minutes to 220 milliseconds, eliminating reliance on point cloud initialization [4]. - The comparison between traditional GS and Tesla's generative GS shows substantial improvements in dynamic target clarity and artifact reduction, indicating a strong competitive edge for Tesla in the autonomous driving sector [4]. Group 2: Industry Implications - The advancements made by Tesla are likely to prompt domestic competitors to enhance their capabilities, leading to increased demand for related job positions in the industry [4][6]. - The rapid iteration of 3DGS technology is attracting attention in both academic and industrial circles, highlighting the need for effective learning pathways for newcomers in the field [7]. Group 3: Educational Initiatives - An educational program titled "3DGS Theory and Algorithm Practical Tutorial" has been developed to provide a comprehensive learning roadmap for 3DGS technology, covering everything from foundational theories to practical applications [7]. - The course includes various chapters focusing on background knowledge, principles and algorithms, autonomous driving applications, important research directions, and the latest developments in Feed-Forward 3DGS [11][12][13][14][15]. Group 4: Course Structure and Requirements - The course is structured to span approximately two and a half months, with specific unlock dates for each chapter, allowing participants to progress systematically [18]. - Participants are required to have a GPU with a recommended capability of 4090 or higher, along with a foundational understanding of computer graphics, visual reconstruction, and relevant programming skills [20].