DAIR.AI 推出 AI 论文合集：追踪 Harness Engineering 与 RSI 前沿论文
做智能体开发的人可以收藏这两个论文合集，每天更新，省去自己刷 arXiv 的时间。还能通过 MCP 工具直接和论文对话提问，查细节比翻 PDF 快。
DAIR.AI 的 elvis（@omarsar0）宣布上线新的 AI Paper Collections，首批推出两个主题合集：Harness Engineering（智能体工程框架）和 Recursive Self-improvement（递归自我改进），两个合集均每日更新。
这些合集基于其自研的论文策展工具构建，收录经过筛选的高推荐度论文和工具，读者可通过 academy.dair.ai 直接访问。此外还提供 paper chat 工具和 MCP 工具两种方式，支持与论文内容直接对话，方便快速定位具体章节和细节。
作者表示正在撰写一篇更深入的综述文章，目前先以合集形式开放，供研究者和智能体开发者持续追踪这两个方向的最新进展。
I am doing a much bigger dive on the top, but please let me know if you have any questions that need clarification. Plus, you can track all the latest papers on this topic here: x.com/omarsar0/statu… elvis @omarsar0 Introducing our new AI Paper Collections. You can now track highly recommended papers and tools for harness engineering and recursive self-improvement. Updates daily! Built on our in-house paper curation tools. You can also chat with the papers via our paper chat tool or MCP tools. Harness Engineering: academy.dair.ai/papers/collect… RSI: academy.dair.ai/papers/collect… 🔗 View Quoted Tweet
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include DAIR.AI, Harness Engineering, RSI, MCP and tools.
Source attribution: curated from elvis (@omarsar0).
