I’ve followed Network Chuck for years. Sometimes from inside my career, sometimes outside of it, sometimes just because the guy does cool shit and makes technology feel fun again. He’s informative, deeply technical, curious in the right way, and clearly knows his stuff. I crossed part of my Linux line because of people like him. Not for a credential. Not for some résumé bullet. Just because curiosity is contagious when you see it in somebody who’s really in it. So when I watc

For a while, the AI conversation was basically a cage match between benchmark charts. Which model is smarter? Which one codes better? Which one hallucinates less? Which one scored higher on an exam written by people who probably alphabetize their spice rack? That phase mattered. Better models matter. But that’s not the center of gravity anymore. The real shift is bigger: Intent is becoming executable. That sounds small. It isn’t. Because once AI can take intent and turn it in

Jason “Parmaster” Snitker — and What a Real Hacker Looks Like Some names trend. Some names echo. Jason Snitker — Parmaster — is the second kind. Most people won’t recognize it. That’s fitting. The sharpest minds from that era didn’t want to be recognized. They weren’t chasing influence. They weren’t building audiences. They were building understanding. Today we measure influence in followers.Back then, influence moved through private BBS boards and whispered reputations. Thos

You’re Debating at the Wrong Level Every week I see it online, In Slack threads, group chats, from friends who “are into AI.” "Claude is better at coding.” “No, Codex is.” “No, this weird open-source model beats both.” And the debate just… spins. Benchmarks…Anecdotes…“I built a React app with it.”...“It refactored my Python better.” Here’s the uncomfortable truth. That entire conversation is happening at the wrong level. This Is a Toolbox, Not a Marriage You do not marry an

Not Because of Skynet — But Because the Bots Are Basically Us Alright. I’ll say it. I was wrong. To the folks online who were at full volume yelling that we’re fucked — I may owe you a partial hat-eating. Not a full one. Maybe a tasteful bite. Because yeah… we might  be fucked. Just not in the way you were thinking. I was worried about agentic AI in the sober, grown-up, systems-engineering way. Governance. Security. Ecosystems. Responsibility. You know — adult stuff. Turns ou

This Is What the Middle Always Looks Like There’s a phase every transformative technology goes through that makes people deeply uncomfortable — especially people seeing it up close for the first time. It’s the phase where the foundational work is done, the guardrails come off, and the thing gets dropped into the open world. Not polished. Not secured. Not fully understood. Just working enough  to be dangerous. That’s where we are right now with agentic AI. What you’re seeing w

We keep looking for the wrong monster. Whenever AI risk comes up, the conversation immediately drifts toward science fiction — sentience, rebellion, Skynet moments where the machine “wakes up” and decides humanity is inefficient. It’s dramatic, it’s familiar, and it conveniently pushes the danger into an abstract future. That’s not what’s happening. The real risk with AI is not that it becomes conscious. It’s that we are handing powerful systems real authority in real environ

There was a lot of noise coming out of Davos this year.Big ideas. Big timelines. Big futures. But one comment stuck with me in a very different way. When Dario Amodei  talked about being six to twelve months  away from recursive self-improvement, it wasn’t the sci-fi implication that grabbed me. It was the mundanity  of it. Because if he’s right — and I think he probably is — this won’t feel dramatic at all to most people. It’ll feel… normal. You Won’t Know It’s Happening (An