Sherwin Wu, Head of Platform Engineering at OpenAI, discusses internal productivity data comparing frequent Codex users against other engineers.
Insight
Wu: Blindly following customer requests leads to AI product local maxima
“Because the field is changing so much at any point in time, you know, a lot of people are kind of in this local, local maximum. And if you just blindly listen to your customers, they'll, they'll be like, yeah, I want a better vector store. Like I want a better…”
Insight
Wu: AI tools widen the productivity spread across engineering teams
“Codex really empowers, like, top performers to get a lot, like, to be a lot more productive, and so it really, like, and I think this may be true for AI more broadly, like, across society, which is, like, the people who really lean in, or, like, the people who…”
Prediction Not checkable as stated
Wu: AI will enable engineering managers to manage far more than 6-8 engineers
“My sense is I think managers will be able to manage much larger teams in this world. Kind of like how, you know, like software engineers are managing 20 to 30 codexes. My sense of these tools will allow managers, people manage to be higher leverage and will al…”
Prediction Open · timeframe Feb 2031
Wu: A one-person billion-dollar startup will likely exist eventually
“It's like, yeah, if, you know, if people are so high leverage, at some point there will likely be a one person billion dollar startup.”
Prediction Not checkable as stated
Wu: Rise of AI micro-companies could shrink venture-scale return opportunities
“You know, it might, we might end up in in a world where there's just, like, a handful of big players that are offering platforms and supporting all of these startups, but, you know, the types of venture-scale return startups that can really hundred or thousand…”
Insight
Wu: AI startups should build for capabilities that are 80% viable
“My general advice, and I've been giving this to people for a while, and I think it's still true today, is make sure you're building for where the models are going and not where they are today. You know, the, it's clearly a moving target, and I think a lot of t…”