OpenAI cofounder Greg Brockman on the scaling hypothesis and refactoring as a killer AI use case

Greg Brockman—OpenAI cofounder and Stripe's first engineer—joins John Collison to talk about research-driven product development, an early moment he thought OpenAI was doomed, S curves in AI advancement, and energy bottlenecks.

Full episode transcript:

https://cheekypint.transistor.fm/1/transcript

Timestamps

(00:00) Intro

(02:51) Was OpenAI the first company to take the scaling hypothesis seriously?

(04:53) Lessons from Dota about deep learning

(08:08) What is a good new Turing test?

(08:57) Personalization in AI

(09:57) Research-driven product development

(10:26) An early moment OpenAI felt doomed

(15:01) OS limits on AI product development

(17:59) When will AI make novel advancements in math or science?

(20:03) Energy bottlenecks

(22:30) S curves in AI advancement

(24:00) AI coding

(26:25) Refactoring as a killer AI use case

(27:26) How OpenAI decides what products to built

(28:53) Growing up in North Dakota

(30:17) How far away is AGI?