豆包大模型“上车”奔驰，字节明确“不造车”只做赋能者

Core Insights - ByteDance has signed a strategic cooperation upgrade memorandum with Mercedes-Benz, focusing on deep collaboration in areas such as smart cockpits, intelligent driving assistance, AI research and development, digital marketing, and customer operations [1][2] - ByteDance's approach to the automotive industry is not to manufacture vehicles but to empower car manufacturers with AI and cloud services, marking a shift from previous market rumors about "ByteDance making cars" [1][2] Summary by Sections Strategic Partnership - The partnership between ByteDance and Mercedes-Benz began in 2023, initially centered around introducing the "Volcano Car Entertainment" content ecosystem [1] - In 2024, the collaboration will expand to include AI and big data capabilities provided by the Volcano Engine, transitioning from single functional modules to full-link AI empowerment [1] Product Development - The first Mercedes-Benz electric CLA model equipped with the Doubao large model is expected to launch this fall, showcasing the large model technology from ByteDance in a luxury car brand [1] Market Positioning - Volcano Engine currently serves several mainstream automakers, including Changan Automobile, GAC Aion, Lynk & Co, and SAIC Group, providing comprehensive support from algorithm training platforms to digital marketing solutions [1] - ByteDance's automotive strategy is characterized as a technology supplier role, focusing on providing foundational capabilities in AI, cloud, and big data, which is a lighter and more focused approach compared to traditional vehicle manufacturing [2] Industry Context - This strategy aligns with trends among major internet companies, potentially avoiding the risks associated with heavy asset vehicle manufacturing, as seen in previous unsuccessful ventures by companies like Baidu and Apple [2] - ByteDance's strengths in content ecosystems, recommendation algorithms, and cloud-native technologies are well-suited to the evolving direction of the automotive "third space," particularly in user insights and personalized recommendations [2]