Thank you. I appreciate you saying so.

The thing about LLMs in particular is that - when used like this - they constitute one such grave positive feedback loop. I have no principal problem with machine learning. It can be a great tool to illuminate otherwise completely opaque relationships in large scientific datasets for example, but a polynomial binary space partitioning of a hyper-dimensional phase space is just a statistical knowledge model. It does not have opinions. All it can do is to codify what appears to be the consensus of the input it's given. Even assuming - which may well be far too generous - that the input is truly unbiased, at best all it'll tell you is what a bunch of morons think is the truth. At worst, it'll just tell you what you expect to hear. It's what everybody else is already saying, after all.

And when what people think is the truth and what they want to hear are both nuts, this kind of LLM-echo chamber suddenly becomes unfathomably dangerous.