Next Stage of AI Scientist: NanoResearch (Skills, Mem, RL)

This video shifts the perspective from Research Automation to Collaborative Agent-Human Co-evolution. An AI scientist shouldn't be a generic paper-generating factory; it must be a dynamic system whose parameter space continuously warps to internalize the unique research procedures or workflows and resource constraints of the specific lab it is deployed in. All rights with authors: NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation Jinhang Xu†1, Qiyuan Zhu†1,2, Yujun Wu†1,3, Zirui Wang†1,4, Dongxu Zhang†1,5, Jianxin Tang, Marcia Tian6, Yiling Duan1, Siyuan Li4, Jingxuan Wei1, Sirui Han∗2, Yike Guo∗2, Odin Zhang∗7, Conghui He∗1, Cheng Tan∗1 from 1 Shanghai Artificial Intelligence Laboratory, 2 The Hong Kong University of Science and Technology, 3 Peking University, 4 Zhejiang University, 5 Xi’an Jiaotong University, 6 East China University of Science and Technology, 7 The Chinese University of Hong Kong arXiv:2605.10813 #airesearch #aiscience #scientist #scientificdiscovery #aibasics