算力够了，为什么大模型体验却没变化？

Core Insights - The article discusses the significant advancements in AI models within the automotive industry, particularly focusing on the launch of the lightweight version of the domestic AI model DeepSeek in early 2025, which has rapidly gained traction in both domestic and international markets [3] - The automotive sector is entering a new era of large-scale AI model integration, with major manufacturers like Mercedes-Benz, BYD, NIO, and SAIC accelerating their adoption of AI models since February 2025 [3] - The focus has shifted from initial testing to deeper integration of AI models into vehicle functionalities, particularly in smart cockpit experiences [3][4] AI Model Integration in Automotive - By 2025, the consensus in the industry has shifted towards the deep integration of AI models into cockpit functionalities, moving beyond basic search capabilities to more complex applications [3] - The 2026 Xuanyuan Award evaluation emphasized the importance of AI models in enhancing user experience, with a focus on generative UI, proactive perception, and multimodal interaction [4] - The evaluation revealed that while some manufacturers have made significant strides, many still lag behind in delivering substantial improvements in AI capabilities compared to the previous year [4][5] Challenges in AI Model Implementation - The distribution of computing power and performance constraints pose significant challenges, as many manufacturers allocate substantial resources to autonomous driving, limiting the available computing power for cockpit AI applications [5] - The complexity of testing AI models complicates the assessment of their effectiveness, as it is often difficult to determine whether the intelligence displayed is genuinely derived from AI models [5][42] - The industry is currently focused on enhancing the user experience through AI, but many manufacturers have yet to fully realize the potential of AI in cockpit interactions [5][42] Future Directions for AI in Cockpits - The article suggests that AI will become a native capability of operating systems in vehicles, with a shift towards integrating AI deeply into the OS architecture [6][46] - Future developments will include offline voice AI, edge-based visual language models, and memory capabilities, which are essential for creating a seamless user experience [6][46] - The evolution of AI models will also involve enhancing their analytical and planning capabilities, allowing them to serve as scene engines that can automatically orchestrate interactions and provide optimal solutions [6][47] Trends in Smart Cockpit Design - The evaluation of smart cockpit experiences highlighted several key trends, including platformization, 3D HMI exploration, and spatial interaction design [9][10][23] - Manufacturers are increasingly focusing on optimizing rear seat space and enhancing user interaction through innovative designs, such as movable screens and gesture controls [30][34] - The integration of sound zones and cross-screen interactions is becoming a priority, allowing for a more personalized and immersive user experience [30][31][33] Notable Case Studies - The article presents several innovative case studies, such as NIO's Firefly cockpit, which features unique gesture controls and personalized desktop card generation [48][49] - The use of AI-generated content, such as children's storybooks and interactive features, showcases the potential for AI to enhance user engagement in vehicles [48][57] - The development of dynamic control interfaces that adapt to different applications demonstrates the flexibility and potential of smart cockpit technologies [54]