Google DeepMind 论文：4 个通用编码智能体无人工干预通关 Minecraft
New Google DeepMind paper shows 4 general-purpose coding agents beating Minecraft with no human help, writing every program and splitting the work themselves.
Google DeepMind 新论文显示，4 个通用编码智能体在无人工干预下通关 Minecraft。每个 Gemini 4 Argon 智能体只拿到一个目标（击败末影龙）和一个把 JavaScript 转成游戏动作的标准库，没有人为它们分配角色或编写游戏工具，团队通过聊天和共享笔记自行组织。在 Easy 难度、随机世界中，它们用 27 小时 14 分钟击杀末影龙，共编写 2,783 个程序、死亡 605 次；由于只是单次运行，这套方案的成功率仍未知。
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论文展示通用编码智能体在长程任务中自行分工完成目标，并给出单次运行的具体耗时与程序数量。
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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.