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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.","upvotes":167,"discussionId":"6aa8b9965dd4cb9b4cc026cb","projectPage":"https://atria-asi.ai","githubRepo":"https://github.com/atria-asi/Atria-Dawn-Preview","githubRepoAddedBy":"user","ai_summary":"Atria Dawn Preview is a foundation agentic language model trained through verified tool interactions that achieves strong benchmark results and demonstrates a shift toward human-AI project-level collaboration in scientific research.","ai_keywords":["foundation agentic language model","Verifiable Experience Pipeline","tool-mediated interactions","executable environments","human-AI collaboration","agent logs"],"ai_summary_model":"thinkingmachines/Inkling-Small","githubStars":121,"organization":{"_id":"64a2d5fa81252883206f24c9","name":"internlm","fullname":"Intern Large Models","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/6432683407bad11484a68457/Q3Y0dL79GcsnaBCGRMooZ.png"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"638ef0b0c67af472d31674a6","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/638ef0b0c67af472d31674a6/zXQjC3DdY3jpVkATkpms6.png","isPro":false,"fullname":"Honglin Guo","user":"KYLN24","type":"user"},{"_id":"64234971d654afd6931a02b1","avatarUrl":"/avatars/d74e019c4a9a474be63176aed021dbc7.svg","isPro":true,"fullname":"Junzhang Liu","user":"junzhangliu","type":"user"},{"_id":"65fae82c6902f37123af2c1e","avatarUrl":"/avatars/13e790e7bc013c02704723f09e8b9ee7.svg","isPro":false,"fullname":"Wang Yuhui","user":"qzdc","type":"user"},{"_id":"6216496a9b34d2fb49144599","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6216496a9b34d2fb49144599/41CKA_h1Ffj3RzVabSAkm.jpeg","isPro":false,"fullname":"Yaojie Lu","user":"luyaojie","type":"user"},{"_id":"65b71b9e8bb894c96cc7707b","avatarUrl":"/avatars/78e2a833054e89bcc34ddc6e789677d5.svg","isPro":false,"fullname":"Tao Gui (SII)","user":"guixiaotao","type":"user"},{"_id":"6544b9b646dbdeca34ee5f52","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6544b9b646dbdeca34ee5f52/nRx6m1C4wfZ_xSWoBUNJf.png","isPro":false,"fullname":"Yuyang Hu","user":"namespace-ERI","type":"user"},{"_id":"649988726677f66c2b486392","avatarUrl":"/avatars/b649a77370660e129726e29504daba34.svg","isPro":false,"fullname":"Yining Li","user":"ly015","type":"user"},{"_id":"64ff1413243a9587f9722a89","avatarUrl":"/avatars/2787b203ba851b15a6769464aa51184f.svg","isPro":false,"fullname":"henry","user":"haijunlv","type":"user"},{"_id":"61cd4b833dd34ba1985e0753","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/61cd4b833dd34ba1985e0753/BfHfrwotoMESpXZOHiIe4.png","isPro":false,"fullname":"KABI","user":"dongguanting","type":"user"},{"_id":"6774eedc0359fd49fd2d1ab0","avatarUrl":"/avatars/79dfe8bde629807d171437ca28bba971.svg","isPro":false,"fullname":"潘成骏","user":"pcjjjj","type":"user"},{"_id":"665809065411d86586f03b3c","avatarUrl":"/avatars/aa408552fe306016cecb7cd0741f4ec5.svg","isPro":false,"fullname":"孙志超","user":"scv11","type":"user"},{"_id":"67908b24d37463df976df598","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/notfoqJ0SUaN9QL30pOCt.png","isPro":false,"fullname":"Yiding Wang","user":"mmjzmy","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":1,"organization":{"_id":"64a2d5fa81252883206f24c9","name":"internlm","fullname":"Intern Large Models","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/6432683407bad11484a68457/Q3Y0dL79GcsnaBCGRMooZ.png"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2609/2609.15818.md","query":{}}">

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