计算机行业周观点第47期：2025年人工智能产业总结与回顾-20260104

Investment Rating - The industry is rated as "Overweight," indicating an expected increase in value exceeding 10% compared to the market benchmark index over the next 6-12 months [6]. Core Insights - The large model has entered a post-training and COT expansion phase, with the capabilities of the base model in 2025 likely remaining unchanged, as the GPT-5 series may still utilize the GPT-4o base model. The focus for 2025 will be on enhancing post-training and reasoning capabilities [1]. - Google's Gemini 3 model has achieved significant advancements in cross-modal dialogue, understanding, and content generation, but still faces challenges with logical coherence in complex scenarios and controllability of generated content, highlighting key areas for future technological breakthroughs [1]. - Domestic AI chip manufacturers have reached H-series performance levels, with advancements in interconnect speeds and software ecosystem capabilities. Notably, Alibaba's latest PPU chip has surpassed NVIDIA's A800 in key performance metrics, and Huawei's CloudMatrix 384 super node aims to optimize computing efficiency [2]. - The capabilities of robotic bodies have improved significantly, while the cognitive abilities of their "brains" lag behind, limiting their application to structured scenarios. The VLA model architecture has been criticized for its limitations in real-time reasoning in complex physical environments [3]. - The business models for AI applications are still under exploration, with domestic companies facing challenges in monetization despite high revenue growth rates, while international firms struggle with high computing costs and low profit margins [3].