When federal policy fails to lead, communities don't wait. They build. A recent report from The 74 landed with a thud that should surprise no one who's been paying attention: when it comes to AI policy in K-12 schools, districts are largely on their own. No meaningful federal framework. No coherent national guidance. Just thousands of school boards making it up as they go — some banning AI outright, some embracing it blindly, most paralyzed somewhere in between. The media rea

There is a chart making the rounds right now that stops you cold if you actually look at it. 2,500 dots. Each one represents 3.2 million people. The entire grid is 8.1 billion humans. 84 percent of the dots are grey. Never used AI. Not once. Not even a free chatbot. The green dots — free chatbot users, your ChatGPT-curious colleagues, the people who tried it once and maybe still use it occasionally — those are 16 percent. Around 1.3 billion people. The gold dots? People payi

There is a battle playing out at the center of the agent world right now. On one side: Anthropic and OpenAI, two companies that spent most of 2025 learning a bitter lesson. Shipping fast does not mean organizations actually adopt. On the other side: Nvidia, which just launched NemoClaw. Embedded inside that launch is a philosophy that is quietly more interesting than the product itself. NemoClaw is built on engineering principles that are fifty years old. And that is not a cr

There’s a moment in every technology cycle where the signal is real…but the behavior around it gets reckless. We’re in that moment. Everyone is building a Claw. Everyone is selling a Claw. And a growing number of people are installing Claws into environments they don’t understand, with access they can’t see, doing things they didn’t fully intend. That’s the part we need to talk about. The Map Is Real — But It’s Not Safe by Default Yes, there’s a structure to this ecosystem. Y

Every so often, the tech world does something interesting. Not a press release. Not a product launch. A pattern. And right now, the pattern is loud. Everyone is building a Claw. Different names. Different wrappers. Same underlying idea: Nvidia, Alibaba, Tencent, ByteDance, Xiaomi. All moving fast toward agent-based systems that do not just respond but act. So naturally, the question comes up: Is this just another AI fad? Short answer? No. The reason has nothing to do with hyp

The last week has been fascinating to watch. Someone built a $25,000 website in six hours with Claude. Jensen Huang said every company now needs an agentic strategy — the same way they once needed an HTML strategy or a Linux strategy. Netflix posted a comms job at $775K. Software engineering postings dropped 60,000 in two years. AI founders told the WSJ they'd tell their kids to study English lit. OpenClaw. ClawBot. Agents everywhere. These feel like separate conversations. T

A few years ago, I found myself sitting in a photonics lab, very aware that I was the least qualified person in the room. I had been brought in by a company I was doing some AI work with — flew me out to Dallas, met the team, did some training, got a feel for what they were building. Smart people. Real engineers. The kind of environment where you realize pretty quickly where your lane ends. On a follow-up trip, there was an issue they were working through. I didn't fully unde

This week gave us a tale of two signals. On one side, NVIDIA kicked the doors off the hinges. On the other, Apple tightened the locks. That's the story. And if you're paying attention, it tells you exactly where this is headed. Because these are not random events. They are not isolated product moves. They are two completely different reactions to the same underlying shift. NVIDIA is behaving like a company that understands the future gets won by accelerating capability. Apple

You know that moment in a movie where someone casually walks into a room, sets something down on the table, and everyone just stares? That's what NVIDIA did this week. They released Nemotron 3 Super — a free, open-weight AI model with 120 billion parameters that only activates 12 billion at a time. And they didn't just drop the weights. They dropped the entire training dataset. 10 trillion tokens. The recipes. Everything. For free. Let that sit for a second. What We're Actual

There’s a moment in every technological shift where things stop feeling incremental and start feeling…off-balance. Not broken—just ahead of themselves. That’s where we are with AI right now. In a really big way… the biggest in fact. For the last couple of years, most people have experienced AI as something you talk to. You ask a question, it gives you an answer. Maybe it writes something, summarizes something, explains something. Useful, occasionally impressive, sometimes fru

The Technology Behind My “Holy Shit” Moment If you just read the last article — the one where my brain basically melted in public — you might reasonably be asking: “Okay… but what actually is this thing?” Fair question. Because if you only read that piece, it probably sounded like I discovered some mystical AI wizard hiding in a cave somewhere. I didn’t. If anything, the wizard lives in a deep, dark data center somewhere humming away behind a few million dollars’ worth of GP

I was halfway through writing an article about how badly this whole thing had just broken my brain when my phone rang. It was Jimmy. Now, this wasn’t some staged testimonial call. I didn’t send him a survey. I didn’t ask him for a quote. He wasn’t calling to help me finish a thought. He was calling because he’d been using this thing for about a week in the real world, in the middle of serious work, and he was basically having the exact same holy-shit moment I was. That timing

Every few months the internet discovers a real scientific breakthrough and immediately turns it into a sci-fi headline. This week’s example: a fruit fly. If you saw the posts floating around social media, the claim sounded dramatic: “Scientists uploaded a living creature into a computer.” That’s a fantastic headline. It’s also… not really what happened. And honestly, the real story is more interesting—mainly because it’s real. What Actually Happened https://flywire.ai/ Resear

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

On March 5, 1976, something extraordinary arrived at Los Alamos National Laboratory. It weighed more than five tons , cost roughly $19 million , and looked like a piece of futuristic furniture designed by someone who understood both physics and aesthetics. It was the Cray-1, designed by legendary engineer Seymour Cray, and at the time it was the fastest computer on Earth. The machine could perform roughly 160–250 million floating-point operations per second. That number might

The internet does what it does...ClaudeBot drops...OpenClaw. CloudBot. MaltBot. Pick your favorite alias. It barely matters. Within days, Mac Minis are disappearing from shelves like it’s the week before Christmas and someone just announced a new console. I’m not exaggerating. There are YouTube videos right now of people stacking 40, 50, 60 Mac Minis vertically, building what can only be described as a ClaudeBot factory. Rows of white aluminum bricks churning through agent ta

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

I was reading a recent NewsNation article about investigators using what they described as a “signal sniffer” mounted to a helicopter in the search for Nancy Guthrie. The idea, according to the report, was to try to detect emissions from her pacemaker. And my brain did what it always does. It started wandering. Not in a conspiracy way. Not in a “I’ve cracked the case” way. Just in a technical, curious, “has anyone had this conversation?” kind of way. Because here’s the thing

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

Let’s stop dancing around it.... For the last couple of weeks, I’ve been watching this open-source agent ecosystem do what open source always does when something powerful lands in its lap: it goes feral. ClaudeBot, Maltbook, autonomous negotiation, agents coordinating, people duct-taping workflows together and seeing what breaks. And most of the conversation has been about autonomy. Is this safe? Is this dangerous? Is this the gray goo phase? That’s interesting. It’s not the