Meta 发布 IdeaScientist：27B 开源模型自动生成研究提案
Meta 开源的 IdeaScientist，一个 27B 模型自动写科研提案，居然比 Claude Code 和 Codex 的方案还高近 6 个点，做法拆成三个 RL 角色，做 AI-scientist 的必须看。
Meta 发布 AI 科研智能体系统 IdeaScientist。其 27B 开源模型在自动科研任务上比最强的开源 autoresearch 基线高 14.0%，领先幅度主要来自新颖性，并比 Claude Code SDK 和 Codex SDK 方案最高高出 5.9%。该系统把选题拆成三个角色分别用 RL 训练：gap finder 分析相关工作找局限，innovator 检索其他领域中解决过类似问题的机制，writer 汇总成完整提案。检索库覆盖 277 万条分解后的研究想法，评测只允许使用截止日期前发表的文献，并用 1.5 万篇后来的人工论文中的探索方向来打分。
Banger paper from Meta on AI research agents.
(bookmark it)
If you build AI-scientist systems, this one is worth your time.
The result:
A 27B open model beats the strongest open autoresearch baseline by 14.0%, mostly on novelty, and beats Claude Code SDK and Codex SDK setups by up to 5.9%.
How it works:
IdeaScientist splits ideation into three roles trained separately with RL. A gap finder reads related work for limitations, an innovator retrieves mechanisms that solved similar problems in other fields, and a writer turns the result into a full proposal.
Retrieval runs over a corpus of 2.77M decomposed research ideas.
The evaluation only allows literature published before a cutoff date and scores proposals against directions explored later in 15K human-written papers.
Paper: https://t.co/HVorujkYnR
Chat with Paper: https://t.co/xZs1QNP4TX
