1. Every time I've confidently stated "this AI architecture will never be able to do X" in the past 6 years, I've not been proven wrong (with one possible exception earlier today: https://news.ycombinator.com/item?id=47291893 – the jury's still out on that one). … No, my version doesn't really work, does it? It just sounds like bragging, or maybe hubris.

> some people are already managing large codebases without human review of raw code.

2. I have never believed this to be impossible. I do, however, maintain that these codebases are necessarily some combination of useless, plagiarism, and bloated. I have yet to see a case where there isn't a smaller, cheaper way to accomplish the same task faster and better.

> The returns on figuring this out are so incredibly high

3. And yet, they still haven't figured it out. My bias is that it isn't possible, because nothing has fundamentally changed about the model architectures since I first skimmed a PDF about GPT, and imagined an informal limiting proof that I still haven't found any holes in.