Core Insights - The industry is undergoing a significant technological transition from rule-based and hybrid systems to fully data-driven "dense modal systems" [2][4] - Tesla is recognized as a leader in this transition, having successfully completed the shift to a data-driven model [4] - The future of autonomous driving is seen as inevitably data-driven, with key factors for this transition being enhanced computing power, algorithm optimization, infrastructure development, and sensor standardization [5] Industry Trends - The current competition in the autonomous driving sector is shifting from marketing gimmicks to actual product performance breakthroughs [5] - Companies must focus on foundational technology development rather than merely creating new concepts for promotional purposes [5] - The market is expected to see a power sweet spot of 100-200 TOPS between 2024 and 2025, with over 500 TOPS becoming mainstream by 2026 [6] Product Development - Horizon Robotics has introduced the HSD series for urban full-scene assisted driving, with computing power levels of 256 TOPS, 560 TOPS, and 1120 TOPS [6] - Despite differences in computing power and pricing, the technical architecture of these products is unified to ensure stable product iteration and development efficiency [6] - Future autonomous driving products should prioritize simplicity, practicality, and efficiency to enhance user experience rather than focusing solely on technical specifications [6]