Researchers at Princeton used reinforcement learning and diffusion models to automate RFIC layout generation. This approach bypasses traditional manual design, achieving record performance in wireless components. The system rapidly creates layouts that human engineers would likely overlook. Success now depends on creating large, shared datasets to teach AI universal electromagnetic behaviors.