AI大模型分野：从技术狂热到商业价值回归｜2025中国经济年报

Core Insights - The Chinese large model market in 2025 is undergoing a significant "value return," with a shift towards sustainable business models and real demand, marking it as a year of entrepreneurial opportunities in global AI applications [2] - DeepSeek emerged as a major player in early 2025, temporarily dethroning ChatGPT in app downloads and gaining widespread attention, but faced a decline in visibility later in the year [3][4] - The competitive landscape is evolving, with the "AI Six Tigers" diversifying their strategies, focusing on practical applications rather than large model training [5][6] Company Strategies - Zero One Wanhua and Baichuan Intelligence have shifted away from training large models, focusing instead on industry applications and commercial viability, achieving significant revenue growth in 2025 [6] - Jiepux and MiniMax are maintaining their focus on large model training while emphasizing commercialization, with Jiepux reporting extensive partnerships in key sectors [6][7] - Yuezhi Anmian is transitioning towards a market-driven approach, appointing a former investor as president to enhance its commercial strategy [7] Market Dynamics - The investment landscape is becoming more cautious, with investors preferring applications and infrastructure over foundational model companies, reflecting a shift in capital towards sectors that provide tangible value [8] - The trend is moving from financing to public offerings, with Jiepux and MiniMax preparing for IPOs, which could attract significant market attention due to the lack of pure AI listings in Hong Kong [9] - The future of AI is expected to see the emergence of "new species" capable of full-loop capabilities across industries, potentially disrupting traditional business models [9][10] Technical Developments - Current Transformer architectures may not support the next generation of agents, with research indicating a potential evolution towards Non-Linear RNNs to address limitations in handling long-context environments [10]