Google DeepMind：四个 Gemini 4 Argon 智能体 27 小时通关 Minecraft
DeepMind 让四个 Gemini 4 Argon 智能体自己分工写代码，27 小时通关 Minecraft，做长任务智能体的可以看看这套协作机制。
Google DeepMind 发表论文，报告四个 Gemini 4 Argon 智能体在无人干预下完成 Minecraft 端到端通关，27 小时 14 分钟击败末影龙，据称是首次由 AI 智能体自主完成该目标。每个智能体通过 Mineflayer 库控制一名玩家，无人工分配角色或预先编写游戏逻辑。整个过程中智能体自行规划、编写并调试程序，共写出 2783 个程序、死亡 605 次，通过游戏内聊天和共享记忆协调分工，并在死亡后互相找回物品。
Banger paper from Google DeepMind on long-horizon multi-agent coding. (bookmark it) They report that, to the best of their knowledge, this is the first end-to-end autonomous completion of Minecraft by AI agents. They report that four Gemini 4 Argon agents beat Minecraft end-to-end. They defeated the Ender Dragon in 27 hours and 14 minutes with no human intervention. Each agent controlled one player through the standard Mineflayer library. No one assigned roles, wrote game logic, or scouted a seed in advance. The agents planned, wrote, and debugged every program themselves, and coordinated through in-game chat and a shared memory. Over the run, they wrote 2,783 programs and died 605 times. They split the work, shared what they learned, and recovered each other's items after deaths. If you build agents for long software or enterprise tasks, this is a useful case study. The team had to keep one plan consistent across thousands of dependent steps for more than a day. arxiv.org/abs/2610.22319 Chat with Paper: academy.dair.ai/papers/a-team-… 💬 12 🔄 5 ❤️ 20 👀 1702 📊 16 ⚡
