I'm not sure why "creativity" is a yard-stick. Machines could do creativity better than us for a while now - take a bunch of inputs, collect some possible outputs by mashing the inputs together with a random modulating factor, pick the best one. Computers are much, much better at every step here except "pick the best one", and that's only because it's humans who decide on how ideas are to be rated, and our rating is so absurdly complex that we can't even explain it to ourselves, much less write it down as code.

If anything, transformer models are closing the gap on that last bit, as they're built by taking the approach of "if we can't describe exactly how we rate and rank things, then let's shove so many examples at the model that it eventually gets a feel for it".