斯坦福和CMU搞了个新格式叫Agent-Native Research Artifact，它把代码、失败记录都塞进去后，AI理解能力从72%跃升到93%，复现也涨了7个百分点，比读传统论文好用多了。
斯坦福大学和卡内基梅隆大学团队提出了一种名为Agent-Native Research Artifact的新研究格式。该格式替代传统论文，同时包含声明推理、可执行代码、失败实验日志和原始结果。对比测试中，AI的理解评分从72.4%提升到93.7%，复现评分从57.4%提升到64.4%。研究团队认为，这可能是人类撰写最后一篇论文的转折点。
This might be the last paper humans ever write. …
This might be the last paper humans ever write.
Scientists have written papers the same way for centuries.
A team from Stanford and CMU thinks that era is ending.
Their point is simple: A paper takes messy, winding research and flattens it into one tidy story.
That tidiness costs you two things.
1. Failed experiments vanish, so AI never sees the wrong turns. 2. Setup details stay in someone's head, so agents can't actually rerun the work.
Their answer swaps the written paper for something an agent can execute directly.
They call it an Agent-Native Research Artifact, and it keeps four things side by side:
> The claims and reasoning > Code that actually runs > A log of dead ends > Raw results behind each number
Then the proof.
Comprehension scores rose from 72.4% to 93.7%, reproduction from 57.4% to 64.4%.
So who are papers really for now?