Folding laundry and navigating city streets remain harder for AI than writing code or novels. Researchers are now pivoting toward world models to bridge this gap between digital mastery and physical interaction. This shift targets the fundamental inability of current LLMs to predict physical causality, a requirement for reliable robotics.