>GPT-3 style language models assemble nonsense with similar statistical properties to the (hopefully) meaningful text in their training corpus, and that's it.

GPT-3, I think, is most dangerous when it comes to reducing the amount of propaganda a human has to write in order to be 'taken seriously.' Long essays and long articles in major publications are taken seriously, but how many people read to the end? With GPT-3 a human propagandist can get away with writing a headline and initial paragraph. The filler text - that's required to make the article 'weighty' enough to be taken seriously can be GPT-3. That's one of the initial applications I see in terms of manufacturing consent and propaganda.