Code World Model Preparedness Report
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
TL;DR
This report assesses the safety and risk profile of Meta's Code World Model, finding it does not introduce new frontier risks and is released as an open-weight model.
Contribution
It provides a comprehensive risk assessment of CWM, including domain testing and misalignment evaluation, and releases the model openly.
Findings
CWM does not pose additional frontier risks
Model was tested across high-risk domains
Model released as open-weight for community use
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.
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