Eric Eaglstun · AI
A working notebook on AI & machine learning.
Almost nobody fully understands how modern AI works — not even the people building it. That makes it easy to fear, easy to hype, and hard to think clearly about.
I started this to fix that for myself — then realized it might be just as useful to anyone else trying to make sense of AI. It begins as a glossary — short, plain-language definitions of the terms I kept tripping over while running models on my own machine, explained the way you’d explain them to a friend. From there it grows into practice notes, blog posts, and deep dives into the machinery underneath. No hype, no hand-waving — because you can’t have a sane opinion about something you don’t understand.
Glossary
All 22 terms →Short, plain-language definitions of the AI/ML terms I keep bumping into — formats, GPU backends, architectures, and the concepts underneath.
Practice →
How I actually use AI day-to-day, and the techniques that have earned a permanent place in my workflow.
Blog →
Notes and posts on AI/ML — local inference, models, and whatever I’m tinkering with.
Deep Dives →
Longer, hands-on walkthroughs — how the pieces fit together, with the details left in.