SAIC MOTOR(SH:600104) 量子位·2025-09-17 12:09Core Viewpoint - The article discusses the integration of the Doubao deep thinking model into the automotive industry, particularly highlighting its role in transforming vehicles into intelligent spaces that provide personalized user experiences through AI technology [1][12][32]. Group 1: Doubao Deep Thinking Model - The Doubao deep thinking model is essential for understanding user needs and executing appropriate actions, serving as a bridge between user intent and vehicle response [10][20]. - The model's ability to recognize complex user commands and intentions allows for a more interactive and human-like experience in vehicle operation, moving beyond simple command-response interactions [11][19]. Group 2: AI Smart Cabin Concept - The concept of AI smart cabins is emerging, with various functionalities being introduced, leading to confusion about what constitutes a true AI smart cabin [6][12]. - A genuine AI smart cabin should proactively sense user needs, interpret ambiguous dialogues, and autonomously execute tasks, rather than merely responding to direct commands [8][10]. Group 3: Collaboration with SAIC Roewe - The first application of the Doubao deep thinking model is with SAIC Roewe, marking a significant collaboration between a traditional automotive giant and an internet company [3][12]. - SAIC Roewe's extensive data advantage, robust hardware interfaces, and innovative spirit make it an ideal partner for deploying advanced AI models in vehicles [27][30]. Group 4: User Experience Enhancements - The integration of the Doubao model allows vehicles to act as personal assistants, providing advice on vehicle functions and answering a wide range of questions, enhancing the overall user experience [15][16]. - The model's memory capabilities enable it to remember user preferences and past interactions, allowing for personalized recommendations and improved service [16][22]. Group 5: Industry Implications - The introduction of the Doubao deep thinking model signifies a turning point in the automotive industry, as vehicles transition towards becoming intelligent entities capable of deep thought and interaction [12][32]. - This shift is indicative of a broader trend in the automotive sector, where AI technologies are increasingly being integrated to enhance user engagement and redefine human-vehicle interactions [20][34].