Re: Time to make Lemonade.
Why would you want to do that though.
From an information theory perspective, AI is a lossy transformation of information. Allow me to explain:
Its output, based on a large corpus of input, is a statistical model, no thinking involved (machines can't think, any belief otherwise is pure magical thinking), at the very best, any such transformation can only preserve the information content of the input, it cannot create new information. In reality, it is an imperfect transformation and introduces errors, omissions, or "hallucinations" - another word for false correlations in the statistical model.
The output of such models appears, superficially to be based on logical progression, but this simply hides the fact that the model is based on lots of actual creative input, stolen from humans, and the large scale averaging of this looks novel at first glance.
So what happens if you feed the output from something that is lossy back into itself? Pretty much thr same thing you'd get if you kept re-compressing a jpeg image from a photograph of a screenshot. You get loss of detail, false reinforcement of errors, and a degraded model. Garbage in, garbage out. Something that looks to produce accurate answers 99% of the time fed back into itself falls below 50% after just 69 iterations, and the sort of slop I've seen coming out of AI is far worse than 99% accurate. This is known as "model collapse," and, quite frankly, let the fuckers collapse.