Greg breaks down concrete AI startup ideas you could actually build this weekend — not vague theory. This is where I go when I want proof that you don't need to be older or richer to start; you need an idea and the willingness to move. Every episode leaves me with something I could test the same week.

Each episode dissects how one iconic company was actually built — the strategy, the bets, the unit economics. It taught me to look under the hood of a business instead of just admiring the logo, which is exactly the lens I try to bring to every founder I interview.

When I want to slow down and really understand where AI is heading — from the people actually building it — these long conversations are worth every hour. They remind me that behind the hype are real humans making careful decisions, and that curiosity matters more than having all the answers.

Written by a Wharton professor, this is the clearest guide I've found to actually working *with* AI instead of fearing it — it's basically the thesis of this whole site. A must if you only read one.

The co-founder of DeepMind lays out both the promise and the risks of the AI wave. It pushed me to think about not just how to use AI, but how my generation uses it responsibly — because the people my age will be the ones living with the consequences of these choices the longest.

A global view of the AI race between the US and China — and what it means for everyone else. As a Latin American, it made me ask an uncomfortable question: if the big players are already so far ahead, where does our region fit? I'd rather help us be builders in this story than spectators.

The accelerator behind Airbnb, Stripe and Dropbox posts their actual playbooks for free — which still amazes me. Their videos on finding AI startup ideas are the closest thing to a founder crash course I've found, and they made building a company feel like something I could actually learn, not a mystery reserved for other people.

My single most-recommended source for learning AI. It's research-based but genuinely easy to read, and every post hands me something I can try that same day. It also doesn't hurt that Ethan teaches at Wharton — the exact kind of place where I want to keep learning this stuff.