I say this, but there's a nuance to consider. I read a post by someone creating their company logo with Dall-E by repeatedly changing and tweaking their prompt to get to a usable output. That is definitely above the creativity threshold, with the AI as a tool, not as the creator. Similarly, NLP AI tools can help authors to get to e.g. a first draft, then shaped, rewritten, changed, edited etc., which crosses the human creativity threshold for copyright to kick in. Compare with how I sometimes use machine translation of my own text and then clean it up, to be able to write faster in e.g. German of French, where the algo is a lever to turn my higher passive language skills into active language use. (Btw comment added to see if that updates my original hypothesis annotations of this article in my Obsidian notes, or if it happens only once when first annotated. The latter would mean forcing annotation and thus break my workflow)

https://web.archive.org/web/20220704195527/https://www.zylstra.org/blog/2022/06/dall-e-mini-siso-stereotype-in-stereotype-out/