Can an AI model predict perfectly and still have a terrible world model?

Summary

The article explores whether an AI model can make highly accurate predictions without truly understanding the underlying reality, highlighting a distinction between predictive performance and genuine world modeling. This raises important questions for the AI field about the limitations of current models and the need for systems that not only predict well but also develop robust, interpretable representations of the world.