“I've been using mostly Claude, but others as well to generate SQL because I'm not an SQL expert. … How do I know whether it gave me the right query? Because I'm not an SQL expert. And if we already knew the answer, we wouldn't need it. And so I'm wrestling with that. And my observation is 90% of the time it generates a perfectly fine query and 10% of the time it gives you a totally wrong answer. And I don't know which is which.”

…Large language models explain this. What's that mean? What's the future going to be? And so that paradigm shift, I think, is really, really, really uncertain. And we are very much in the middle of it. And everybody knows about it. So anyway, now I've given you the synopsis of the book. Go by it.

…sad for them to see these things become obsolete, like typing things out and stuff. I was curious, in your career in computing, there must have been points where something became obsolete, maybe like the punch cards or I don't know, something like that. And I guess, how did you feel at that time?

It sounds like what you're saying is you need some domain expertise. Otherwise, you can't be the judge of if it's.

You need domain expertise. Probably it's the same domain expertise you always needed. You need ways of validating what you do because you can't be sufficiently expert that you can test a big program all by yourself. So you need something AI again. To help you with generating the test, but then you…

In the world you described, which is today's world, the models are not perfect. There's a lot of subtleties where they get things wrong. But in a world where they are perfect and they're kind of doing everything, what just like out of curiosity, what happens to a computer science major?