Framing this question as "AI good" OR "AI bad" is culture-war thinking.

The real problem here is that there's clearly a strong incentive for the big labs to deceive the public (and/or themselves) about the actual scientific and technical capabilities of LLMs. As Karpathy pointed out on the recent Dwarkesh podcast, LLMs are quite terrible at novel problems, but this has become sort of an "Emperor's new clothes" situation where nobody with a financial stake will actually admit that, even though it's common knowledge if you actually work with these things.

And this directly leads to the misallocation of billions of dollars and potentially trillions in economic damage as companies align their 5-year strategies towards capabilities that are (right now) still science fiction.

The truth is at stake.