专访龚克：AI时代对人的科学素养和价值判断力提出更高要求

Core Viewpoint - The rapid proliferation of artificial intelligence (AI) applications necessitates higher levels of scientific literacy, questioning ability, and value judgment among individuals [1][4]. Group 1: AI Development and Trends - AI agents have become a significant focus for technology companies, seen as a new entry point for future traffic and services [3]. - The concept of "intelligent agents" has gained popularity due to the accelerated iteration of large models and the emergence of various functional models, serving as an interface between humans and AI [3][4]. - Despite initial excitement around AI agents, many have faced criticism for being "unusable" and "unreliable," often only capable of performing standardized tasks in specific scenarios [3][4]. Group 2: Human-AI Interaction - The effectiveness of AI tools depends on individuals' ability to communicate clearly and set boundaries for tasks and questions directed at AI [4][5]. - The ability to ask the right questions is emphasized as being more critical than solving problems in the era of large models, highlighting the importance of scientific and ethical literacy [5][6]. Group 3: Future Directions in AI - The evolution of AI is expected to transition from single-modal to multi-modal capabilities, expanding from text to images, audio, video, and code [6]. - The rise of embodied intelligence, which involves interaction with physical entities, is identified as a key trend in AI development [6]. - Open-source models are anticipated to play a crucial role in the future of large model development, promoting faster iteration and greater transparency [6]. - The necessity for green transformation in AI is highlighted, focusing on the sustainable use of resources and the integration of renewable energy in AI applications [6][7].