代码世界模型准备情况报告

Code World Model Preparedness Report

May 1, 2026

作者: Daniel Song, Peter Ney, Cristina Menghini, Faizan Ahmad, Aidan Boyd, Nathaniel Li, Ziwen Han, Jean-Christophe Testud, Saisuke Okabayashi, Maeve Ryan, Jinpeng Miao, Hamza Kwisaba, Felix Binder, Spencer Whitman, Jim Gust, Esteban Arcaute, Dhaval Kapil, Jacob Kahn, Ayaz Minhas, Tristan Goodman, Lauren Deason, Alexander Vaughan, Shengjia Zhao, Summer Yue

cs.AI

摘要

本报告记录了针对Meta公司代码生成与推理模型Code World Model（CWM）的预备性评估。我们根据《前沿AI框架》中识别的潜在灾难性风险领域开展了预发布测试，并评估了模型的错位倾向。评估结果表明，CWM在当前人工智能生态系统现有风险基础上，并未产生额外的前沿风险。因此我们决定以开放权重模型形式发布该模型。

English

This report documents the preparedness assessment of Code World Model (CWM), a model for code generation and reasoning about code from Meta. We conducted pre-release testing across domains identified in our Frontier AI Framework as potentially presenting catastrophic risks, and also evaluated the model's misaligned propensities. Our assessment found that CWM does not pose additional frontier risks beyond those present in the current AI ecosystem. We therefore release it as an open-weight model.