Historically, "leadership" at organizations haven't cared about objective truths when those truths conflict with their desires. So why would they care about what a hyped up gradient descent has to say?
I'm not a huge fan of AI stuff, but the output quality is (usually) above that of what BSers were putting out.
While I still need to double check my BS team members, the problems with the code they are pushing is lower than what it was pre-AI everywhere. To me, that's a win.
I guess what I'm saying is I'd rather have mediocre AI code written than the low quality code I say before LLMs became as popular as they are.
On more abstract things I think it has to have intentional filters to not follow you down a rathole like flat earth doctrine if you match the bulk of opinion in verbose authors in a subject. I don't see the priority for adding those filters being recognized on apolitical STEM oriented topics.
It's why code reviews remain important.