Basics

🎧 Prefer to listen? Your browser does not support the audio element. Last April, one of the most widely-shared studies about AI in education got pulled from a Nature journal. If you’d seen the original headlines — “ChatGPT boosts student learning!” — you probably felt either validated or annoyed, depending on your stance. But the retraction tells a more important story than the original study ever did, and it’s one that anyone using AI tools should understand. ...

You use APIs every day. Every time you check the weather on your phone. Every time you log into a website with your Google account. Every time you ask ChatGPT a question. You just don’t know it. And that’s fine — until you want to build something with AI. Then suddenly everyone’s throwing around “API” like it’s obvious. It’s not. So let me explain it the way it finally clicked for me. ...

GitHub is not scary — 5-minute intro I avoided GitHub for years. Every time someone mentioned it, my brain shut down. Repositories. Branches. Pull requests. It sounded like a foreign language designed to make me feel stupid. Then I actually used it. And it’s not that complicated. What GitHub actually is Forget the jargon. Here’s what GitHub really is: It’s Google Drive for your projects. That’s it. That’s the whole thing. ...

I didn’t plan to learn AI. Life kind of forced me into it. I’m a bodybuilder. I train athletes. I’ve spent years in the gym learning discipline, structure, and how to push through pain. That’s my world. Code, terminals, Python environments — that was someone else’s world. Then I got injured. Not a little tweak. A major injury that took me out of my sport completely. I went from training six days a week to sitting in a house with nothing to do but heal. And if you know anything about athletes, you know that “do nothing” is the hardest thing in the world. ...

I’m going to explain AI the way I wish someone had explained it to me. Not with diagrams of neural networks. Not with math equations. Not with buzzwords. Just what it is. What it does. And why you should care. AI is a pattern machine That’s it. That’s the whole thing. AI looks at massive amounts of data — text, images, code, whatever — and finds patterns. Then it uses those patterns to predict what should come next. ...