executable-representations

Code-as-World has been open-sourced, introducing a framework that uses code as executable representations for the physical world to enhance AI physical reasoning, along with pre-trained models and evaluation tools.

Code-as-World introduces a paradigm that represents physical environments as executable code to enable quantitative reasoning for vision-language models, using an agentic discovery loop for scalable supervision and achieving state-of-the-art performance.