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

Aidan Boyd

Alexander Vaughan

Ayaz Minhas

Cristina Menghini

Daniel Song

Dhaval Kapil

Esteban Arcaute

Faizan Ahmad

Felix Binder

Hamza Kwisaba

Jacob Kahn

Jean-Christophe Testud

Jim Gust

Jinpeng Miao

Lauren Deason

Maeve Ryan

Nathaniel Li

Peter Ney

Saisuke Okabayashi

Shengjia Zhao

Spencer Whitman

Summer Yue

Tristan Goodman

Ziwen Han

Publisher

arXiv

Research Topics

Human & Machine Intelligence

Core Machine Learning

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