Google DeepMind：4个通用编程智能体自主通关 Minecraft
DeepMind 让 4 个编程智能体自己分工、写了 2783 个程序，27 小时打死末影龙，全程没人帮忙，思路挺有意思。
Google DeepMind 的论文让 4 个 Gemini 4 Argone 通用编程智能体在无人干预下通关 Minecraft，唯一给定的目标是击败 Ender Dragon。智能体自行在聊天和共享笔记中分工，编写了 2783 个程序、死亡 605 次，在 Easy 难度的随机世界里用 27 小时 14 分钟完成。通关需要跨越数千个依赖步骤维持同一计划，这是长周期软件和业务任务所需的能力。此前的 Minecraft 智能体依赖游戏画面训练或专门的任务规划器，这次没有任何人分配角色或编写游戏工具。由于是单次运行，该方案的成功率尚未验证。
New Google DeepMind paper shows 4 general-purpose coding agents beating Minecraft with no human help, writing every program and splitting the work themselves.
Finishing Minecraft means holding 1 plan across thousands of dependent steps, the same skill long software and business tasks need. Earlier Minecraft agents were trained on gameplay or handed game-specific planners.
Each Gemini 4 Argon agent got 1 goal, defeat the Ender Dragon, and a standard library that turns JavaScript into game actions. Nobody assigned roles or wrote game tools, so the team organized itself through chat and shared notes.
From a random world on Easy difficulty, they killed the dragon in 27 hours and 14 minutes, writing 2,783 programs and dying 605 times. It was a single run, so how often this setup succeeds is still unknown.
Before writing custom planners for a long task, try general coding agents with a plain API and a shared memory.
