OpenAI cofounder Greg Brockman on the scaling hypothesis and refactoring as a killer AI use case
· 32 min · Episode 1
Episode 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?
Links in the notes 1
Transcript
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