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Academia is for Ambition — Alex Zhang, MIT

#ai#recursive language models#research#gpu#multi-agent systems

English

Alex Zhang from MIT discusses the potential of Recursive Language Models (RLMs) and their implications for AI research, emphasizing the importance of innovative approaches to model design. He highlights the need for academics to take risks in their research and explores the future of AI with concepts like Prime Agent and multi-agent systems.

中文

麻省理工学院的亚历克斯·张讨论了递归语言模型（RLM）的潜力及其对人工智能研究的影响，强调了模型设计创新方法的重要性。他指出学术界需要在研究中承担风险，并探讨了未来人工智能的发展，包括Prime Agent和多智能体系统等概念。