AI Isn't the Answer. It's the Tool.

I've been doing a course on LLM engineering lately, and somewhere along the way I fell in love with it. With the technology, with the possibilities, with the idea that you can extract exactly what you need from a language model. That's a genuinely cool concept when you sit with it.

One quote has stuck with me through all of it. It's from Mark Cuban, paraphrasing here, but he said something like:

"There are two types of people who use AI. The person who uses it so they never have to learn anything again. And the person who uses it to learn everything they possibly can."

That hit different for me.

I've always loved learning. The problem was never motivation, it was follow-through. My mom used to say "Oh, you're never satisfied!" because I'd constantly want to start something new before finishing the last thing. New hobby, new interest, new rabbit hole. That was just me.

But here's what I've realized: AI might actually be the thing that helps me channel that. Instead of scattered curiosity going nowhere, I can use it to go deeper, faster, across more things than I ever could on my own.

Web dev pulled me in for the same reason gaming always did. I'm a gamer at heart. Puzzle-solving, systems management, figuring out how things fit together. Building things and solving problems with creative ideas scratches that exact itch. When I found out AI could amplify that, help me organize my thinking, sharpen my focus, and accelerate what I'm actually trying to build, it was a natural fit.

The journey is just getting started. But I'm convinced this isn't a phase. The way I see it, AI isn't here to think for you. It's here to help you think better. And for someone who loves learning the way I do, that's a pretty exciting place to be.