Core Insights - The competition in the smart car industry is shifting from hardware capabilities to the sophistication of AI models, with the "Doubao" model leading in adoption among new mass-produced vehicles set to launch in 2025 [2][3][9] - The integration of large models into vehicles is moving from a novelty to a necessity, with companies focusing on the usability and effectiveness of these AI systems rather than just their presence [3][9] Industry Trends - The 2023 Guangzhou Auto Show highlighted a significant increase in the deployment of AI models in vehicles, with the "Doubao" model being integrated into a wide range of cars from luxury brands like Mercedes and Audi to mainstream models from Roewe and Changan Mazda [2][3][5] - The shift in power dynamics within the automotive industry is evident, as companies now prioritize the robustness of their AI model foundations and the real-world data they can leverage over traditional hardware specifications [3][7] Product Innovations - The "Doubao" model enhances user interaction in vehicles, exemplified by its implementation in the Mercedes-Benz EQ CLA, which improves interaction efficiency by 50% and can recognize four emotional states [5][6] - Other models, such as the Roewe M7 DMH, utilize the "Doubao" model for complex command execution, demonstrating the ability to understand nuanced language and perform multiple actions in response to a single command [6][7] Strategic Partnerships - Fire Mountain Engine has expanded its partnerships with major automotive brands, including Mercedes, BMW, and Volkswagen, integrating its AI capabilities into various aspects of vehicle operation and customer engagement [7][8] - The collaboration with Mercedes illustrates a comprehensive approach, extending beyond in-car systems to include digital marketing and customer lifecycle management [7][8] Future Outlook - The competitive landscape for AI in vehicles is still evolving, with the true measure of success lying in the ability to deeply integrate AI models into practical use cases and continuously iterate based on real-world data [9][10] - The challenge for Fire Mountain Engine will be to maintain its leading position while allowing automotive companies to retain brand identity and control over their technology [10]