RESEARCH

NLP

Code World Model Preparedness Report

September 24, 2025

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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AUTHORS

Written by

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

Publisher

arXiv

Research Topics

Human & Machine Intelligence

Core Machine Learning

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