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…
Sol beat Factorio on peaceful mode using a Python library to interact with the game.
Sol used a library to play Factorio programmatically with GUI restrictions.
The model improved over previous versions by using transport belts effectively.
Manual effort was needed to connect production systems in late game.
Summarised automatically by AI from the original article by Hacker News. AI can make mistakes, so check the original for details.
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).
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.
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