The AI system generated a weather app that looked like Apple's because the Apple weather app's UI is one instance of a bunch of almost indistinguishable weather UIs. if humans don't show any variability or creativity in creating a weather app, why would you expect an AI, trained on human knowledge to do any better?
Maybe the conclusion is that we do not really need creativity for some tasks, what we need is certain aesthetic and other rules that the AI can learn through is training. If that makes a more or less boring future where everything is the same and nothing really changes is left to be seen.
How transformative they are is probably a subjective judgement depending on what one means. For example, the way I see it, when we do poetry, we transform our experience into words. What speaks to people through poetry is not the words themselves, but the pointers to the connected experience they contain. Poetry is not about writing a nice poem by predicting the next token based on statistical correlations. Current AI is not transformative enough because it does not transform lived experience into words, it predicts tokens based on what tokens it was trained on.
The problem here is that they are relying on third party models that they have no idea what they were trained on.