A hallmark of human intelligence is the capacity for rapid adaptation, solving new problems quickly under novel and unfamiliar conditions. How can we build machines to do so? In our new preprint, we propose that any general intelligence system must have an adaptive world model, i.e. they must be able to rapidly construct or refine their internal representation through interaction and exploration — a process we call “world model induction”. We propose a roadmap for evaluating adaptive world models in machines based on a special class of games we call “novel games”.