Founders should not pivot to AI just because it seems trendy, but they should definitely work on projects that utilize large language models (LLMs) at their core.

I think the most underrated person in AI is Michael Katasta, who has been a pioneer in developing language models for code.

To build a successful AI startup, founders must engage deeply with real-world problems and understand the needs of their target market.

Founders need to adopt a 'stochastic mindset' and operate at maximum velocity all the time to succeed in the AI landscape.

Young founders are particularly well-positioned to work in AI since no one has extensive experience with large language models, creating a level playing field.

It's important for developers to view the world through the lens of the AI model, considering what instructions would be most applicable for it to understand and operate effectively.

It's important for children to understand the basics before using AI tools to extend their capabilities.

The AI field is approaching diminishing returns with large language models, as the amount of natural text data available for training is becoming limited, which may hinder future advancements.

AI is a tool that can dramatically augment and amplify our creativity, and I realized I needed to learn more about it after my book on idea generation was published just before the rise of AI tools.