About

How I learn this

I pull transcripts from YouTube videos and podcasts, then run them through Claude Cowork against a context file of what I'm actually trying to learn. The comparison does the work. It tells me what's genuinely new, what's the same idea repackaged, and what's noise. Most of it is repetition. This is how I find the parts that aren't.

Dallas AI

I joined Dallas AI about a year ago. They describe themselves as a nonprofit forum to accelerate learning and adoption of AI, with more than 10,000 members. I volunteer at events: setting up the display beforehand, breaking it down after, and greeting people at the door as they arrive. That last part is my favorite.

I also have friends there who help answer the technical questions I can't work out myself. There's a lot I don't know, and they're a big reason I keep moving.

What I learn from

I like the way Remy Gaskell explains AI agents, so I watch his videos. Greg Isenberg's Startup Ideas podcast walks through complicated AI systems and products step by step, and it keeps me current.

What it costs

A dedicated laptop I keep as a sandbox, and subscriptions to several AI models. It's a real hobby with real costs.

My son

He helped design this site, and Kid Lab is entirely his. The robot athletics idea, the games, the look, what the robot does when it scores: all of it. He has final say on that section, and he has overruled me more than once.