Chip Huyen: Hi, Lenny. I've been a big fan of the podcast for a while, so I'm really excited to be here. Thank you for having me. Lenny Rachitsky: I want to start with this table/chart that you shared on LinkedIn a while ago that went super viral, and I think it went super viral because it hit a nerve with a lot of people. Let me just read this and we'll show this on YouTube for people that are watching. So it's this very simple table you shared of what people think will improve AI apps and what actually improves AI apps. What people think will improve AI apps, staying up to date with the latest AI news, adopting the newest agentic framework, agonizing about what vector databases to use, constantly evaluating what model is smarter, fine-tuning a model. And then you have what actually improves AI apps, talking to users, building more reliable platforms, preparing better data, optimizing end-to-end workflows, writing better prompts. Why do you think this hit such a nerve with people? If you had to boil it down, what do you think people are missing about building successful AI apps?
What people think will improve AI apps, staying up to date with the latest AI news, adopting the newest agentic framework, agonizing about what vector databases to use, constantly evaluating what model is smarter, fine-tuning a model.