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DeepMind 论文:Gemini 4 Argon 多智能体 27 小时通关《我的世界》

Google DeepMind 新论文显示,4 个 Gemini 4 Argon 编码智能体在无人类干预下自行分工、写了 2783 个程序,27 小时 14 分击杀末影龙通关《我的世界》。

Rohan Paul
@rohanpaul_ai1 天前收录原推发布于 2026.10.27
DeepMind 论文:Gemini 4 Argon 多智能体 27 小时通关《我的世界》
Rohan Paul @rohanpaul_ai原推发布于 2026.10.27
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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.

x.com/rohanpaul_ai/status/2114835672985113080采集于 2026.10.27 09:53