3 6 Ke·2026-01-13 07:25Core Insights - The rapid advancement of AI capabilities is significantly enhancing intelligent driving and smart cockpit technologies, with lower application thresholds for cockpit systems due to reduced latency and computational power requirements [1] - The introduction of AI agents in vehicles is becoming a trend, with companies like Great Wall Motors leading the way by launching innovative systems that focus on interactive upgrades rather than just functional implementations [2][4] Group 1: AI Integration in Vehicles - Great Wall Motors has unveiled the ASL (Artificial Smart Language) system, which perceives the world in 3D and enhances user interaction by allowing natural language commands, evolving the relationship between humans and vehicles from simple control to conversational engagement [2][4] - The ASL1.0 system is built around intent recognition and proactive understanding, with its first models expected to launch in the first half of 2026 [3][8] - The ASL system is not merely a cockpit AI but a full-stack intelligent architecture that integrates various technological components, including user profiling and multi-modal perception [4][9] Group 2: Technological Advancements and Challenges - The ASL system requires significant engineering efforts to connect electronic architectures and support real-time inference and response across multiple scenarios, indicating a complex underlying infrastructure [4][10] - The upcoming models will utilize Qualcomm's Snapdragon 8797, providing 300 TOPS of computing power, which will increase costs but is essential for advanced AI functionalities [5][10] - The industry anticipates that the transformation towards AI agents in vehicles will take only 2-3 years to materialize, contrasting with the decade-long evolution of cockpit displays [5][12] Group 3: User Interaction and Experience - The ASL system aims to enhance user experience by shifting from a model where users actively control the vehicle to one where the vehicle anticipates and fulfills user needs automatically [12][14] - The system's design reflects a growing understanding that users prefer seamless interactions, leading to the development of proactive service capabilities that require minimal user input [12][13] - The ASL 2.0 system will cover five major intelligent scenarios, emphasizing the importance of dynamic user interfaces and natural dialogue capabilities [13][14]