北京大学梅宏：AI应回归工具属性，警惕过度炒作

Core Viewpoint - The current AI hype should be approached with a rational perspective, emphasizing AI as a tool rather than a disruptive entity, focusing on efficiency and long-term development [1][2] Group 1: AI Technology and Its Limitations - AI technology, particularly deep learning, has made significant breakthroughs but fundamentally relies on data and computational power, lacking true cognitive abilities [1] - Generative AI, represented by large models, transforms cognitive issues into perceptual problems, failing to understand human thought processes [1][2] - The industry faces challenges such as energy consumption, data depletion, and legal-ethical issues, which are often overlooked due to excessive hype [1] Group 2: Future Directions in AI Research - The academic community should embrace diversity in AI research, moving beyond a singular focus on deep learning, and integrating symbolic and connectionist approaches [2] - AI should remain a controllable tool for humans, aimed at enhancing work efficiency and quality, anchored in human knowledge systems for sustainable value [2] Group 3: Practical Applications and Economic Impact - Companies should focus on using discriminative AI to address specific production issues, which requires a long-term accumulation of high-quality data [3] - The macroeconomic impact of AI is not expected to lead to transformative growth in the short term; AI should be viewed as a tool for efficiency enhancement while maintaining human roles in knowledge discovery and value judgment [3]