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arXiv · 2609.15818

Atria Dawn: The Dawn of Agentic Superintelligence

Honglin Guo·Tao Gui·Kun Cai·Haodong Chen·Yicheng Chen·Guanting Dong·Qiming Ge·Yuyang Hu·Zixian Huang·Jiajie Jin·Alexander Lam·Yining Li·Jiahang Lin·Yanjiang Liu·Xinyu Lu·Haijun Lv·Zerun Ma·Junlin Shang·Qisheng Su·Guoqiang Wang·Rui Wang·Zhecan Wang·Hao Xiang·Xinchen Xie·Shuhao Xing·Xiaoyu Xing·Wanghan Xu·Xinyu Yang·Yajie Yang·Chengfeng Zhao·Haoran Zhao·Penghao Zhao·Ruojun Zhou·Yunhua Zhou·Dongsheng Zhu·Yicheng Zou·Qiye Cai·Xinmeng Che·Jiabei Chen·Jiahao Chen·Jiayi Chen·Yujia Chen·Lizhi Cui·Youheng Dai·Xin Deng·Yi Dong·Shihan Dou·Chenya Gu·Xu Guo·Ding Han·Feiyang Hao·Haotan He·Jie Hou·Binze Hu·Zijian Hu·Junhao Huang·Huicheng Jiang·Jiazhen Jiang·Shufan Jiang·Jiahao Kuang·Bowen Lai·Bo Li·Jiaqiang Li·Peng Li·Qilong Li·Zhuoqun Li·Jiaxiang Liu·Shuainan Liu·Tong Liu·Yi Liu·Zhonghang Lu·Jianwen Luo·Yanyi Luo·Huijie Lv·Ningsheng Ma·Houcheng Min·Chengjun Pan·Qiyuan Peng·Xiaoxuan Peng·Jianmin Qian·Jiantao Qiu·Wanying Ren·Huayu Sha·Jifei Shan·Zixin Shang·Bing Shao·Zhuohui Sheng·Jiayang Shi·Yang Shu·Aierpanjiang Simayi·Sirui Song·Yuxiao Song·Zhe Sun·Zhichao Sun·Wenzhe Tan·Wenhui Tian·Zhongbo Tian·Hanchen Wang·Pengbo Wang·Yiding Wang
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Abstract

As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduce Atria Dawn Preview, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world. This model is trained via a Verifiable Experience Pipeline that connects tool-mediated interactions to executable environments and externally verified outcomes. Across 16 benchmarks spanning real-world research, engineering, and digital work, Atria Dawn Preview is competitive with frontier agents and achieves the highest reported score on five of them. Beyond standalone performance, we examine the real research-and-development process behind this model as a case study of human--AI collaboration, analyzing 769 task records from 56 participants together with agent logs. When asked to evaluate completed tasks under comparable conditions, participants rated about one-third of completed AI-assisted tasks as infeasible without AI. More strikingly, agents frequently propose methods and implement revisions, while humans retain most final decisions and guide exploration through judgment and feedback. These observations indicate a shift from task-level execution to project-level partnership, with human effort concentrating on what is worth pursuing and how evidence should guide research. Progress toward more autonomous AI research must therefore advance both the capacity for discovery and the capacity for meaningful human oversight, preserving accountable human authority over the risks and direction of continued development.

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Honglin Guo, Tao Gui, Kun Cai, Haodong Chen, Yicheng Chen, Guanting Dong, Qiming Ge, Yuyang Hu, Zixian Huang, Jiajie Jin, Alexander Lam, Yining Li, Jiahang Lin, Yanjiang Liu, Xinyu Lu, Haijun Lv, Zerun Ma, Junlin Shang, Qisheng Su, Guoqiang Wang, Rui Wang, Zhecan Wang, Hao Xiang, Xinchen Xie, Shuhao Xing, Xiaoyu Xing, Wanghan Xu, Xinyu Yang, Yajie Yang, Chengfeng Zhao, Haoran Zhao, Penghao Zhao, Ruojun Zhou, Yunhua Zhou, Dongsheng Zhu, Yicheng Zou, Qiye Cai, Xinmeng Che, Jiabei Chen, Jiahao Chen, Jiayi Chen, Yujia Chen, Lizhi Cui, Youheng Dai, Xin Deng, Yi Dong, Shihan Dou, Chenya Gu, Xu Guo, Ding Han, Feiyang Hao, Haotan He, Jie Hou, Binze Hu, Zijian Hu, Junhao Huang, Huicheng Jiang, Jiazhen Jiang, Shufan Jiang, Jiahao Kuang, Bowen Lai, Bo Li, Jiaqiang Li, Peng Li, Qilong Li, Zhuoqun Li, Jiaxiang Liu, Shuainan Liu, Tong Liu, Yi Liu, Zhonghang Lu, Jianwen Luo, Yanyi Luo, Huijie Lv, Ningsheng Ma, Houcheng Min, Chengjun Pan, Qiyuan Peng, Xiaoxuan Peng, Jianmin Qian, Jiantao Qiu, Wanying Ren, Huayu Sha, Jifei Shan, Zixin Shang, Bing Shao, Zhuohui Sheng, Jiayang Shi, Yang Shu, Aierpanjiang Simayi, Sirui Song, Yuxiao Song, Zhe Sun, Zhichao Sun, Wenzhe Tan, Wenhui Tian, Zhongbo Tian, Hanchen Wang, Pengbo Wang, Yiding Wang. 2026-09-17. Atria Dawn: The Dawn of Agentic Superintelligence. https://arxiv.org/abs/2609.15818

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