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?