I think it would be one thing if these tools worked such that with experience you gained a kind of intuitive understanding of how your inputs map to the outputs and a finesse in crafting that poetry for the machine. But based on my (limited) understanding on ML models I have a hard time imagining that is the case. These models are complete black boxes, where a small perturbation of the input can create large, unpredictable variations in output. That makes me think that there is a strong “guess and check” aspect to these creations. And I think tools with that characteristic are limited and frustrating to create with, because you cannot channel your intention effectively through that unpredictable mapping of input to output. But I have no doubt these tools will continue to evolve in the direction of being able to be wielded more intentionally.