Lenny Rachitsky: It's interesting how this is, the bitter lesson is this big lesson that AI and ML folks learned, which is just like, the less you overcomplicate, the less logic you add to machine learning and to AI, the more it'll be able to scale and grow and just take it all away and let it just compute basically. Just give it more power to get smarter on its own. Sherwin Wu: Yeah. There's literally a version of the bitter lesson applied to building with AI where we were trying to architect all this stuff around and it turns out the models will just kind of eat it all away. And honestly, OpenAI API team has been guilty of this where we kind of took some left and right turns when we shouldn't have. But yeah, the models still end up, the models get better and we're all learning the bitter lesson day in and day out.
Lenny Rachitsky: It's interesting how this is, the bitter lesson is this big lesson that AI and ML folks learned, which is just like, the less you overcomplicate, the less logic you add to machine learning and to AI, the more it'll be able to scale and grow and just take it all away and let it just compute basically.