Code World Model: Coding Agent as World Brain for Persistent World Evolution
Score
77提出代码作为世界大脑的新范式，显著区别于传统视频世界模型，信息增量高。
框架设计清晰，实验与数据管道完整，但规模化验证尚有限。
为游戏仿真、具身智能和交互式内容生成提供了可落地的技术路径。
紧跟世界模型与多模态智能体前沿热点，当前关注度高。
来自 arXiv AI/CL/LG 论文预印本，且机构与模型可验证。
Base 86 × T2 Source weight ×0.9 = 77
Curation line 70Selected
Why selected
The paper presents an original hybrid code-video architecture with complete experimental validation and engineering details, representing high-value cutting-edge research.
AI commentary
「What I find most interesting is using code as persistent memory while letting the video model only render, solving the problem of world models being 'myopic'—guessing rules purely from pixels. For those working on open-ended simulation and embodied AI, this framework is worth a close read.」
Quick overview
Existing video-based world models primarily learn dynamics from visual observations, which is hard to maintain persistent consequences and support coherent open-ended evolution. This paper introduces Code World Model, which separates world evolution from visual realization: a coding agent acts as the world brain, reasoning about events and consequences and generating executable code to maintain persistent state, while a proxy representation encodes spatiotemporal constraints into a proxy video that conditions a video model to render high-fidelity observations. After fine-tuning on gameplay data, MiniMax-H3 follows proxy-based spatiotemporal specifications, demonstrating the potential of combining code for persistent evolution with video models for flexible realization.
- Proposes Code World Model framework where a coding agent handles persistent world state and rule-consistent evolution
- Introduces proxy representation linking executable state to video generation, compiling spatiotemporal constraints into proxy video
- Builds data pipelines for aligned proxy-observation pairs from gameplay and real videos, fine-tuning MiniMax-H3 to follow proxy specifications
- Demonstrates a new path combining code for persistent evolution with video models for flexible realization
Full text
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