How I Learn AI

1. Skip the infinite feeds (Twitter, short videos, WeChat Moments) and lean into long-form stuff.

I get my info mostly through newsletters and YouTube. Instead of letting information drown me, I pick a handful of high-quality creators and actively go after their content. It really just falls into three buckets for me: quick news digests (like The Rundown AI), industry breakdowns/commentary (Ethan Mollick’s stuff is great for this), and long-form founder interviews (Unsupervised Learning, Lenny’s Podcast).

I don’t really use Twitter because it’s too noisy. Quality varies wildly and it’s a total time sink. If there’s a must-read thread, my newsletters always drop the link anyway, so you won’t miss out.

2. Use both little pockets of time AND big chunks.

I block out at least 30 minutes most days just to sit down at my computer and actually go through newsletters and YouTube videos. Sitting at the desk is key because you can’t just watch—you gotta take action. Like, if I spot a new AI app that looks promising or hear about a fresh model dropping, I hop on it right then (otherwise I’ll forget and never try it). Honestly, most of these tools run way better on desktop or web anyway—mobile’s usually too clunky for hands-on testing.

3. When I find something cool—a product, a company, or just a fascinating person—I go full rabbit hole and stick with them.

I’m really into productivity tools, audio stuff, and content creation, so whenever something new drops in those spaces, I usually give it a spin. I also have this small list of people I constantly follow (like the founder behind Granola or the PM for NotebookLM). Whenever they drop a new thought or update, I catch it. My go-to trick? Just search their name on YouTube and watch every single interview they’ve done. You pick up so much that way.