Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai highlighted advancements in AI technology, particularly in the automotive sector, showcasing the integration of AI in various applications and the future of autonomous driving [3][12]. Group 1: AI and Autonomous Driving Developments - The "Shanghai High-Level Autonomous Driving Leading Area 'Mosu Zhixing' Action Plan" was released, aiming to establish a leading autonomous driving zone by 2027, covering 2,000 square kilometers and achieving 6 million passenger rides [5][12]. - Several companies, including SAIC, Pony.ai, Baidu, and Chery, provided L4-level autonomous driving shuttle services during the event, demonstrating the commercialization of autonomous driving [6][12]. Group 2: Company Showcases and Innovations - Geely showcased its full AI layout with new products like the Zeekr 9X and Lynk & Co 10EM-P, along with innovations in intelligent driving systems and AI wearable devices [7][12]. - Tesla presented its smart electric vehicles, humanoid robots, and advanced driver-assistance technologies, with plans to further implement these systems in China within the year [8][12]. - Yika Technology displayed its latest achievements in smart cockpit, assisted driving, and AI models, emphasizing the integration of AI in automotive applications [9][12]. Group 3: AI Models and Solutions - Various companies released AI models for different applications, such as MogoMind by Mushroom Car Union, which focuses on deep understanding of the physical world, and Hymala by Xijing Technology, designed for multi-modal logistics [10][12]. - Zebra Zhixing and Qualcomm introduced the world's first end-side multi-modal large model solution based on the Qualcomm 8397 platform, achieving 90% service closure on the vehicle side [11][12].

Core Insights - The launch of the first edge-based multimodal large model solution by Zebra Zhixing, in collaboration with Tongyi and Qualcomm, marks a significant advancement in automotive intelligent cockpit technology, enabling a 90% service loop of "perception-decision-execution" purely on the vehicle side [1] - The solution allows for an upgrade from a "command receiver" to a "dialogue participant," enhancing user interaction and experience [1] Group 1 - The edge-based multimodal large model solution is based on the Qualcomm 8397 platform [1] - The solution facilitates proactive intelligent cockpit features, such as automatically adjusting the air conditioning based on user status and environment [2] - The integration of AI agents in vehicles is transitioning from marketing-driven to scenario-driven applications, indicating a shift in the automotive market [4] Group 2 - The demonstration of the AI capabilities included a real-life scenario where an AI agent facilitated a coffee order through natural dialogue, showcasing human-machine coexistence [2] - The AI agent can also recommend playlists to alleviate user anxiety during traffic congestion, further enhancing the driving experience [2] - The intelligent cockpit large model is identified as a key technology for experiential upgrades in the automotive sector [4]

Core Viewpoint - The collaboration between Zebra Zhixing, Tongyi, and Qualcomm aims to advance automotive smart cockpit technology into an era of proactive intelligence through the release of an edge-side multimodal large model solution [1][2]. Group 1: Product Features - The edge-side multimodal large model solution, based on the Qualcomm 8397 platform, can achieve a 90% service loop of 'perception-decision-execution' purely on the vehicle side [2]. - The solution enables a generational upgrade from being a "command receiver" to a "dialogue participant" through multimodal intent perception and interaction [2]. - The local lifestyle agent, part of the "One Arrow Ten Stars" interactive intelligence released in April, reconstructs food delivery services based on travel scenarios [2]. Group 2: User Experience - Users can interact with the AI to order coffee through natural dialogue, with the AI providing a seamless experience that surpasses mobile operations [2]. - The AI can proactively adjust the vehicle's environment based on user status, recommend playlists during traffic jams, and engage in multi-user dialogue scenarios [2]. Group 3: Strategic Development - Since launching the "AI in All" strategy in 2024, Zebra Zhixing has rapidly iterated and commercialized its Yuan Shen AI across various automotive brands, including Zhiji, Roewe, and BMW [3]. - The company is moving towards a human-machine symbiosis by collaborating with customers and the ecosystem, starting from proactive intelligence [3].

Core Insights - Zebra Network Technology Co., Ltd. (Zebra Smart Travel) launched an edge-based multimodal large model solution in collaboration with Tongyi and Qualcomm, marking a significant advancement in automotive intelligent cockpit technology [1][2] - The solution, based on the Qualcomm 8397 platform, enables 90% of the "perception-decision-execution" service loop to be achieved purely on the vehicle side, enhancing user interaction from a "command receiver" to a "dialogue participant" [1] - The local lifestyle agent, part of the "One Arrow Ten Stars" interactive intelligence released in April, integrates cloud-based large models with edge voice capabilities, currently implemented in the new Zhiji L6 vehicle [1] Industry Trends - The automotive market in China is witnessing a shift from marketing-driven to scenario-driven deployment of large models, with AI agents beginning to be mass-produced and providing new user experiences [2] - The intelligent cockpit large model is identified as a key technology for experiential leaps in the automotive sector, emphasizing the importance of user-centric design and functionality [2]

Group 1 - The core viewpoint of the articles highlights the rapid advancement and adoption of AI agents across various industries, with 2025 being seen as a pivotal year for their emergence, and an expectation of over 1 billion AI agents by 2026 [1] - AI agents are being utilized to address common challenges in industries such as textiles, where they enhance the accuracy and speed of fabric inspection, thereby reducing costs and improving efficiency [1] - China Telecom has developed over 80 industry-specific large models and more than 20 AI agent applications, serving over 20,000 industry clients, showcasing the extensive application of AI technology in sectors like industrial, emergency, and education [1] Group 2 - In the office sector, Mido Technology Co., Ltd. launched V Assistant 2.0, a multi-agent collaborative intelligent body for comprehensive public opinion analysis, demonstrating the versatility of AI agents in various applications [2] - AI agents are increasingly being integrated into business processes, particularly in clearly defined task environments, allowing them to take on more routine execution tasks and improve operational efficiency [2] - An example from Belle Fashion Group illustrates the successful implementation of over 800 AI applications across various business nodes, significantly enhancing information connectivity and process automation [3]