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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
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.
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@misc{song2026code,
title = {Code World Model Preparedness Report},
author = {Daniel Song and Peter Ney and Cristina Menghini and Faizan Ahmad and Aidan Boyd and Nathaniel Li and Ziwen Han and Jean-Christophe Testud and Saisuke Okabayashi and Maeve Ryan and Jinpeng Miao and Hamza Kwisaba and Felix Binder and Spencer Whitman and Jim Gust and Esteban Arcaute and Dhaval Kapil and Jacob Kahn and Ayaz Minhas and Tristan Goodman and Lauren Deason and Alexander Vaughan and Shengjia Zhao and Summer Yue},
year = {2026},
abstract = {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.},
url = {https://huggingface.co/papers/2605.00932},
keywords = {Code World Model, code generation, code reasoning, frontier AI Framework, catastrophic risks, misaligned propensities, open-weight model, huggingface daily},
eprint = {2605.00932},
archiveprefix = {arXiv},
}
{}