模型73°

Meta发布AIRA₃多智能体协作系统

Rather than relying on a central controller, AIRA₃ runs many long-running agents (pairs of models + ...

精选理由

Meta的AIRA₃不用中央控制器,让多个智能体通过共享论坛和文件系统协作,知识能随时间累积增长。

Meta推出AIRA₃系统,采用去中心化架构运行多个长期智能体。每个智能体由模型和代码工具组成,在独立环境中工作。系统通过共享论坛和文件系统实现异步协作,智能体可共享发现并相互构建。该系统利用计算能力复合知识,随时间推移提升性能。

原文 · Meta AI

Rather than relying on a central controller, AIRA₃ runs many long-running agents (pairs of models + ...

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. 💬 2 🔄 1 ❤️ 16 👀 2161 📊 4 ⚡