That's an absolutely massive claim but I think it's a false one.
I've seen it be creative, but how good / useful that creativity is seems to be somewhat quite the roll of a dice. This is opposed to someone / something being intentionally creative.
This is not to knock the system, but depending on the "seed" you might get something brilliant or silly, I think there's a major difference there to your claim that's it's "genuinely" creative. Genuinely creative would imply that 100% of the time, I get something new and relevant. Which isn't what happens for me.
For example, I re-asked it your original question and it says this is what developers do:
User input: Developers need to anticipate and handle unexpected or invalid input from users, such as special characters, empty fields, or out-of-range values.
Randomness: Developers may need to incorporate randomness into their programs, such as generating random numbers or shuffling a deck of cards.
Concurrency: Developers may need to handle concurrent access to shared resources, such as preventing race conditions or deadlocks.
Network communication: Developers may need to handle network communication, such as dealing with lost or delayed packets, or handling different types of connections (e.g. HTTP, WebSockets).
Time: Developers may need to handle time-related issues, such as scheduling tasks, handling time zones, or dealing with clock drift.
Human language: Developers may need to handle natural language processing tasks, such as understanding speech, identifying sentiment, or handling different languages.
Image and video processing: Developers may need to handle image and video processing tasks, such as object detection, image recognition, and video compression.
I wouldn't consider a developers job to do video processing tasks, or object detection, not what I expect a developer to handle natural language processing tasks such as identifying sentiment, would you? In fact I couldn't really imagine a more generic attempt at a response to that question?It's for sure impressive, but I feel the more "creative" I asked it to be (more entropy I inject), the more likely it will come up with incorrect answers; However, I'll concede that "incorrect" answer could be used for some inspirational new ways of thinking about solving problems.
I feel personally, the more I play with these systems, the more predictable they become, and this isn't something "truly creative" would be.
Where I think we're going wrong with AI is we seem to think that it will be a "perfect brain". When really nothing is perfect, especially the data it's being trained on.