00:00I thought when we got to GPT-4, which was back in 2023, I think, that very quickly after that,
00:11there was going to be much more disruption in software business being up for grabs right away
00:18than turned out to be. And the thing that I think I was wrong about a few things, but one
00:24of them,
00:25in terms of the speed, one of them is the economy just has so much inertia.
00:30People keep doing the same things they're doing. They keep buying from the same company. They keep
00:35sort of wanting to use their tools in the same way. I think it's actually a positive in many ways,
00:39and it's going to make this big transition in front of us go smoother and slower, and I'm grateful for
00:43it. But I think it means we've all been too ambitious on timelines, even with this incredible
00:49technology. I think AI is one of the most incredible technologies humanity has ever invented.
00:54Society and the economy will adapt more slowly. Yeah, it's funny. We were talking before we
00:58started recording that there's all these parallels to history. Obviously, I read history for a living.
01:02When you were just talking, I wasn't even thinking about open AI and AI and Sam Altman.
01:07I was thinking of reading this biography of Larry Ellison in the 80s. He was just like,
01:11guys, this isn't a software problem. It's a people problem. We have to convince them.
01:15Like we can install software, they're not using it. We have to change their behavior.
