The article advocates for the development of physically viable world models in embodied AI, emphasizing the need for models that accurately represent physical structures to improve decision-making and intervention outcomes. It proposes a modular approach to model design that enhances interpretability and verifiability, addressing the limitations of current observation-predictive models.