There are different perspectives on how much intelligence these foundation models have. Some people think they just elaborate on or mash up their training data. Others think they have internal representations that allow for more human-like creativity. Maybe they learn from the examples what cat and TV and on top of mean, and can put those together in a way not seen in the training data.