Group 1 - The article promotes a series of discounts and offers related to embodied intelligence courses and services, running from September 24 to October 12 [1][4][6] - New members joining the knowledge community can enjoy a 30% discount, while existing members can renew at a 50% discount [1][4] - Various courses, including VLA, VLN, and Diffusion Policy, are available at a 20% discount [2] Group 2 - The Super Discount Card offers a 30% discount on all courses for one year [4][7] - One-on-one paper tutoring can provide a maximum discount of 5,000 yuan for a 1,000 yuan fee, while group tutoring (1v6) offers a 1,000 yuan reduction [4][7] - The article highlights various research hardware available, including reinforcement learning platforms and robotic arms [4][7]

Group 1 - The article promotes a series of discounts and offers related to embodied intelligence courses and services, available from September 24 to October 12 [1][4][6] - New members joining the knowledge community can enjoy a 30% discount, while existing members can renew at a 50% discount [1][4] - Various courses, including VLA, VLN, and reinforcement learning, are offered at a 20% discount [2][4] Group 2 - The Super Discount Card allows for a 30% discount on all courses within one year [4][7] - One-on-one paper tutoring can provide a maximum discount of 5,000 yuan for a 1,000 yuan fee, while group tutoring (1v6) offers a 1,000 yuan reduction [4][7] - The article highlights several research hardware options, including reinforcement learning platforms and robotic arms [4][7]

Core Viewpoint - The company has launched a "Super Discount Card" to address feedback regarding high course prices, offering a 30% discount on all courses for a year [2][4]. Group 1: Course Offerings - The company has introduced several new courses in the field of autonomous driving, including "End-to-End and VLA Autonomous Driving Small Class," "End-to-End and Planning Control (Third Session)," and "4D Annotation Algorithm Employment Small Class" [2]. - The "End-to-End and VLA" course has received positive feedback from participants, indicating strong interest and satisfaction [2]. Group 2: Discount Card Details - The "Super Discount Card" is priced at 299 yuan and provides a 30% discount on all courses related to autonomous driving and embodied intelligence, including future courses [4]. - The card is valid for one year from the date of purchase and can be fully refunded if no courses are purchased within that year [4]. - The promotional period for purchasing the discount card is from September 1 to September 14 [4].

Core Viewpoint - The company has launched a "Super Discount Card" to address feedback regarding high course prices in the field of autonomous driving, offering a 30% discount on all courses for a limited time [2][4]. Group 1: Course Offerings - The company has introduced several new courses in autonomous driving, including "End-to-End and VLA Autonomous Driving Small Class," "End-to-End and Planning Control (Third Session)," and "4D Annotation Algorithm Employment Small Class," which have received positive feedback [2]. - Future plans include launching additional courses focused on VLA and model deployment [2]. Group 2: Discount Card Details - The "Super Discount Card" is priced at 299 yuan and provides a 30% discount on all courses related to autonomous driving and embodied intelligence self-research courses, including future new courses [4]. - The card is valid for one year from the date of purchase and is available for a limited time from September 1 to September 14 [4]. - A full refund is available if no courses are purchased within one year of buying the discount card [4].

Core Viewpoint - The article reflects on the evolution of autonomous driving over the past decade, highlighting significant technological advancements and the ongoing need for innovation and talent in the industry [2][3][4]. Group 1: Evolution of Autonomous Driving - Autonomous driving has progressed from basic image classification to advanced perception systems, including 3D detection and end-to-end models [3]. - The industry has witnessed both failures and successes, with companies like Tesla, Huawei, and NIO establishing strong technological foundations [3]. - The journey of autonomous driving is characterized by continuous efforts rather than sudden breakthroughs, emphasizing the importance of sustained innovation [3]. Group 2: Importance of Talent and Innovation - The future of autonomous driving relies on a steady influx of talent dedicated to enhancing safety and performance [4]. - Innovation is identified as the core of sustainable business growth, with a focus on practical applications and real-world problem-solving [6]. - The article encourages a mindset of continuous learning and adaptation to keep pace with rapid technological changes [6]. Group 3: Educational Initiatives and Resources - The company has developed a series of educational resources, including video tutorials and courses covering nearly 40 subfields of autonomous driving [8][9]. - Collaborations with industry leaders and academic institutions are emphasized to bridge the gap between theory and practice [8]. - The article outlines various courses aimed at equipping learners with the necessary skills for careers in leading autonomous driving companies [9][10]. Group 4: Future Directions in Technology - Key technological directions for 2025 include end-to-end autonomous driving and the integration of large models [12][20]. - The article discusses the significance of multi-modal large models in enhancing the capabilities of autonomous systems [20]. - The need for advanced data annotation techniques, such as automated 4D labeling, is highlighted as crucial for improving training data quality [16].