Meta 的自主 AI 研究系统 AIRA₃（近期已在 NVIDIA 举办的 Kaggle 竞赛中实测）不再依赖中央控制器，而是通过共享论坛与共享文件系统，让大量长期运行的智能体异步协作、彼此借鉴发现。
Rather than relying on a central controller, AIRA₃ runs many long-running agents (pairs of models + coding harnesses) in their own isolated environments and coordinates asynchronously through two shared substrates: 1️⃣ a forum for sharing hypotheses and findings 2️⃣ a shared filesystem for solution artifacts The individual agents collaborate, share discoveries, and build on each other’s work. As the graph below demonstrates, the system uses compute to compound knowledge and drive performance gains over time. Search strategies emerge dynamically as each agent decides which discoveries to build upon.
