AI

World Editing: Intervening on Executable Worlds at Increasing Depth

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Briefings

This article introduces world editing as intervening on existing game worlds while preserving properties, using IGMWorld and IGMBench to evaluate 110 tasks across Minecraft and Terraria. Frontier coding agents achieve 78.2% task-level success and 94.8% criterion-level performance, though reliability drops with intervention depth and visual consistency remains low.

Key points

• World editing is defined as intervening on an existing world while preserving properties that should remain unchanged.
• Frontier coding agents solve 78.2% of tasks under a strict task-level criterion using IGMWorld.

Context

Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexplored. This research formalizes world editing as intervening on an existing world while preserving properties that should remain unchanged, introducing intervention depth as an axis describing how strongly an edit couples world entities, dynamics, and systems.

Limitations

Visual consistency remains a separate weakness with all evaluated configurations below 50% joint visual pass rate. Reliability generally decreases with intervention depth, and this pattern persists even among tasks with similar numbers of evaluation criteria. Most failed edits still build and load successfully, suggesting the main difficulty is making the edited world behave as requested.

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