量子位智库：2025上半年AI核心成果及趋势报告

Application Trends - General-purpose Agents are becoming mainstream, integrating tool usage to complete diverse deep research tasks, with a focus on visual operations [1][11] - Vertical Agents are emerging in various scenarios such as travel and design, with natural language control becoming part of workflows [1][15] - AI programming is rapidly growing, with leading applications experiencing significant revenue growth and continuous product evolution [1][16] Model Trends - Reasoning capabilities are continuously improving, especially in mathematical and coding problems, with large models becoming more agentic and enhancing tool usage capabilities [1][24] - Multi-modal reasoning is being integrated, enhancing the ability to generate images and videos, while small models are accelerating in popularity [1][25] - The Model Context Protocol (MCP) is gaining attention, providing a standardized interface for efficient and secure external data calls, although it has not yet reached large-scale production [1][19][21] Technology Trends - Training resources are shifting towards post-training and reinforcement learning, with the importance of reinforcement learning increasing [1][27] - Multi-agent systems are becoming a frontier paradigm, and online learning is emerging as a core breakthrough direction [1][27] - The Transformer model architecture is rapidly iterating, with hybrid architectures emerging, and code verification is becoming a forefront direction for AI programming automation [1][27] Industry Trends - The gap between leading players in model capabilities is narrowing, with OpenAI's competitive advantage weakening as Google and xAI catch up [2] - The competition gap between the US and China in large models is decreasing, with China showing strong performance in multi-modal areas [2] - AI programming is becoming a critical battleground, with major players both domestically and internationally intensifying their efforts [2]