Greg Brockman

AI has recently crossed a utility threshold, where cutting-edge models such as GPT-3 , Codex , and DALL-E 2 are actually useful and can perform tasks computers cannot do any other way. The act of producing these models is an exploration of a new frontier, with the discovery of unknown capabilities, scientific progress, and incredible product applications as the rewards. And perhaps most exciting for me personally, because the field is fundamentally about creating and studying software systems, great engineers are able to contribute at the same level as great researchers to future progress....

Studying machine learning during the 2018 holiday season. For the first three years of OpenAI, I dreamed of becoming a machine learning expert but made little progress towards that goal. Over the past nine months, I’ve finally made the transition to being a machine learning practitioner. It was hard but not impossible, and I think most people who are good programmers and know (or are willing to learn) the math can do it too....

I joined Stripe as an engineer in 2010. I began by working on the backend infrastructure: designing the server architecture, creating our credit card vault, and producing internal abstractions to make people’s jobs easier. I loved writing code, but I also spent a bunch of time on other things: figuring out our recruiting program, shaping the culture, or making our first T-shirts (which have been banned since we hired our first designer )....

It’s been two years since I wrote #define CTO , in which I documented my quest for a role where I could have scalable impact by writing code. I’ve finally found that role, though not by seeking it — instead, I sought out a problem more important to me than my role within it, brought together the right people, and found that I can best make them effective by writing code....