I’m very proud of this new preprint. We start from a simple observation: most research on human and artificial intelligence treats intelligence as problem solving. The problem can be extremely difficult. But it’s already defined. In the real world, we often have to figure out what the problem is in the first place. Something happens. We have to make sense of it and construct a representation of the problem. Then new information arrives. Circumstances change. And the way we understood the problem may no longer work. We argue that the capacity to revise problem representation, which we call adaptive reframing, is a critical and understudied dimension of intelligence. To study it, we formed a multidisciplinary group spanning neuroscience, cognitive science, robotics, behavioral economics, and complex systems. Together, we developed three tasks designed to measure three complementary aspects of adaptive reframing. The tasks are intended to be adaptable to experiments with humans, LLMs, and robots. We hope this work will inspire new research on human and artificial intelligence. * Full paper in the first reply with @antoniolieto, Francesco Rea, @gsandini, @alefreedot, @GalleseVittorio, @Walter4C