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Hacker News· ryanmadden·· 5 小时前精选AI 评分59

GPT-5.6 Sol 在《异形工厂》和平模式下完成自动化通关

GPT-5.6 Sol can beat Factorio on peaceful mode

AI 导读

作者让运行在 Codex 中的 GPT-5.6 Sol 以低思考级别完成《异形工厂》和平模式流程,用时 13.5 小时游戏时间并实现火箭发射。测试通过 Python 库让模型在玩家距离和战争迷雾等限制下操作游戏,但蓝色科技阶段出现扩展问题,后期多次依靠人工搬运物资弥补生产线连接失败;整体表现优于此前无法使用运输带的 GPT-5.5。

推荐理由

作者公开完整运行、生产统计与失败细节,并对比 GPT-5.5 的运输带使用表现,为长时游戏智能体的能力评估提供具体案例。

正文 · 原文

Ryan Madden Oct 31, 2026

Previously: We got Claude Code playing Factorio, Towards beating Factorio autonomously, and Faketorio: an agent testbed

I got GPT-5.6 Sol, running in Codex with low thinking level, to complete a peaceful (i.e. no biters) Factorio run in 13.5 hours of game time:

A timelapse of the full run is available on YouTube.

Similar to my previous post, this run used a game manager to allow Sol/Codex to interact with the game via a small library (though in this run it was Python rather than Bash). The library allows the model to play the game programmatically while enforcing the same restrictions that human players face when using the GUI (e.g. reach of the player, fog of war).

Observing the run was fascinating: Sol exceeded my expectations in some areas while also showing clear weaknesses in others. I have the entire run recorded and am working on a commentary video, but in the meantime here’s a small timelapsed segment showing some parts of the factory:

Besides the screencast, my run manager also captured production statistics throughout the game. Here’s a chart of total resource production, annotated with science research milestones:

I had planned to terminate the run after blue science research, but Sol’s surprising effectiveness convinced me to keep it going. Unfortunately, the scaling issues I thought would occur in the blue science stage appeared later and slowed Sol’s relative progress significantly.

The rocket launch was only achieved through significant ‘manual’ effort on Sol’s part as it papered over its late-game failures to connect certain production systems by repeatedly ferrying supplies between areas of the factory.

Still, I was pleased with the improvement over previous attempts with GPT-5.5 which suffered from the model’s failures to use transport belts at all.

I’m optimistic about autonomous Factorio play as a medium for building intuition about the nature of model capabilities. In many ways playing Factorio is analogous to programming but with the benefit of being much more legible to casual observers, making it convenient for grounding discussion of model behaviors.

I look forward to testing other models and thinking levels, as well as non-peaceful runs. Stay tuned!

来源:Hacker News · ryanmadden.net