The document discusses DeepMind's SCAN model, which aims to understand human intelligence and cognition by learning grounded visual concepts and the relationships between symbols and images in a way that mimics human vision and word acquisition. The SCAN model experiences the visual world like an infant and learns a concept hierarchy through language instructions provided with visual objects, mapping symbols to images bidirectionally, with the goal of imagining novel concepts guided by language.