【WAIC2025】MiniMax创始人闫俊杰：AI公司不是重新复制一个互联网公司

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC 2025) held in Shanghai focused on the theme "Intelligent Era, Shared Future," bringing together global experts and representatives to discuss new opportunities in AI development [2] - Yan Junjie, CEO of MiniMax, emphasized that AI companies should not be viewed merely as extensions of internet companies but as infrastructure enterprises focused on capability building, providing enhanced productivity for society [2] Company Developments - MiniMax, founded in 2022, has developed several multimodal general models, including MiniMax M1, Hailuo-02, Speech-02, and Music-01, capable of processing text, audio, images, video, and music [7] - The company plans to launch its first full-stack general intelligence product, "MiniMax Agent," during the conference, designed to handle long-term complex tasks with capabilities in task planning, sub-task breakdown, and multi-thread execution [6][7] - MiniMax's products have served approximately 157 million individual users and over 50,000 enterprises and developers across more than 200 countries and regions [7] Industry Trends - AI is transitioning from task assistance to task leadership, increasingly penetrating complex environments, showcasing its ability to understand systems, collaborate on multiple tasks, and learn with goal orientation [3] - The efficiency of AI models has improved significantly, with training costs stabilizing, indicating that future R&D advantages will rely more on effective experimental design and team capabilities rather than solely on computational power [5] - The AI landscape is evolving towards a decentralized, multi-center development model, where various organizations can align models according to their preferences, leading to diverse systems that emphasize different aspects such as code execution, emotional interaction, and creativity [5][6] - The trend towards "inclusive AI" is evident, as both training and inference costs are decreasing, allowing for broader deployment of AI across various social scenarios [6]