This chapter explores three patterns of LLM product development: creating faster horses, teleportation, and the Japanese toilet problem. It also discusses how each pattern requires different founders at different times, as well as briefly mentioning Sam Altman leaving open AI.
The conversation kicks off with the surprising news of Sam Altman’s departure from OpenAI. Nabeel and Fraser then discuss the ‘crazy week’ of product releases, demystifying the complexity and impact of AI in various workflows. They spotlight AI startup Lindy, review My GPTS, and early impressions of the product Dot, an AI-driven guide in daily life. The duo categorizes AI developments into three ‘buckets’: lead bullet strategy, a universal translator bucket, and inventing new behaviors.
- (00:00) - The three types of LLM products
- (02:07) - Exploring Lindy
- (08:21) - GPTs
- (15:52) - Frameworks for AI Product Development
- (20:21) - Dot: Your Guide in Life
- (26:07) - Revisiting Categorization
- (29:45) - Patience in Innovation