How does a machine move from recognising simple patterns to producing fluent language, images, plans, and possible futures? This talk explains the core ideas behind LLMs, (almost) without technical terms. 

It also introduces world models, the latest in frontier models: the possibility that AI models may learn internal maps of situations, relations, and consequences.