ChatGPT and other deep generative models are proving to be uncanny mimics. These AI supermodels can churn out poems, finish symphonies, and create new videos and images by automatically learning from millions of examples of previous works. These enormously powerful and versatile tools excel at generating new content that resembles everything they’ve seen before. But as MIT engineers say in a new study, similarity isn’t enough if you want to truly innovate in engineering tasks. “Deep generative models (DGMs) are very promising, but also inherently flawed,” says study author Lyle…