AI Harness Engineering - Future of AI

all rights w/ authors: Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems Xi-Wei Pan∗§, Shi-Wen An†‡§, and Jin-Guo Liu∗ from ∗Thrust of Advanced Materials, The Hong Kong University of Science and Technology (Guangzhou), Guangdong, China †Department of Information and Communication Engineering, Institute of Science Tokyo, Tokyo, Japan ‡Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo 103-0027, Japan Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Chenyu Zhou1, Huacan Chai1,∗, Wenteng Chen1,∗, Zihan Guo2,3,∗, Rong Shan1,∗, Yuanyi Song1,∗, Tianyi Xu1,∗, Yingxuan Yang1,∗, Aofan Yu1,∗, Weiming Zhang1,∗, Congming Zheng1,∗, Jiachen Zhu1,∗, Zeyu Zheng4, Zhuosheng Zhang1, Xingyu Lou5, Changwang Zhang5, Zhihui Fu5, Jun Wang5,†, Weiwen Liu1,†, Jianghao Lin1,†, Weinan Zhang1,3,† from 1 Shanghai Jiao Tong University, 2 Sun Yat-Sen University, 3 Shanghai Innovation Institute, 4 Carnegie Mellon University, 5 OPPO #aiexplained #chatgpt #aiagents #topology #scienceexplained #education