We built AI while driving 80 miles an hour down the highway. Every model, every product, every platform — bolted onto the internet in real time, while the car was moving, while people were in it, while nobody had agreed on the speed limit or even which lane we were supposed to be in. And at no point during any of that did anyone pull over to explain what was happening. That's the real story behind the backlash. Not the Molotov cocktail through Sam Altman's window. Not the Sta

Today is World Quantum Day — 4/14, named for Planck's constant. 65 countries are celebrating. Most people will scroll past it. That would be a mistake. Here's what quantum actually means for AI infrastructure, encryption, and the clock that's already running.

121 empty oil tankers are headed to the US. Oil just crossed $102. Ship traffic in the Strait of Hormuz has stopped. The Gulf of America is open for business — and the only country positioned to fill the gap is us.

Nvidia, Tesla, xAI, and SpaceX aren't competing with each other. They're assembling a vertical stack from silicon to space. Here's what that means — and where the real bottleneck still lives.

Two of the most advanced AI labs in the world have independently built models so capable at hacking they won't release them publicly. The IMF is alarmed. So is the Fed. Here's what's actually happening.

Every few centuries, something changes in how human civilization does work. Not the tools. Not the industry. The underlying logic of how capability compounds. We are living inside one of those moments right now.

AI isn't replacing people. It's replacing unstructured effort. Here's the framework that changes everything — and it starts with one stupid small problem.

Someone sent me a video this week and I haven't been able to stop thinking about it (or laughing). Watch it first. I'll wait: The premise: retardmaxxing . The act of not caring, not overthinking, and simply doing. The guy explains it with a bell curve. Far left: the actual idiot — blissfully happy, lives entirely in the moment. Far right: the overthinker — drowning in analysis, philosophizing himself into paralysis, technically brilliant, practically useless. At the peak: t

Oracle fired 30,000 people this morning with a 6 AM email. Not because Oracle is struggling. Because Oracle is winning — and winning now means converting human payroll into AI infrastructure as fast as the balance sheet allows. I want to zoom out from that headline. Oracle is not the story. Oracle is a symptom. The story is what's been building for two years, and what a lot of people are about to finally understand the hard way. I have been saying this since early 2024. The r

Today is April 1, 1976. In a garage in Los Altos, California, three people sign a document and start a company. Steve Jobs. Steve Wozniak. Ronald Wayne. The company is called Apple Computer. The first product is a circuit board hand-assembled by Woz on his workbench. No case. No keyboard included. No operating system manual. Just raw silicon and a vision that most people at the time would have called laughable.They incorporated on April Fools' Day — which, fifty years later,

INCIDENT — Published March 31, 2026. Details still emerging. I've spent over thirty years in cybersecurity. I've watched a lot of attacks unfold. What happened today with Axios may be the most technically sophisticated supply chain attack ever executed against the open source ecosystem. What Is Axios and Why Should You Care? Axios is the HTTP client library that lets JavaScript applications talk to the internet. Over 83 million downloads a week. 174,000 projects depend on it

About a year ago I started saying the App Store was dead. Not today-dead. Not literally-no-apps-exist dead. But dead in the way that matters strategically — dead as a paradigm, dead as the dominant interface layer between humans and computing, dead as the thing developers should be building toward. I got flack for it. I still get flack for it. So let me update the thesis — not to say I told you so, but because we can now see the entire shape of what's coming. And it's bigger

A lot has happened since OpenClaw hit. And it wasn't that long ago. I usually do these — this week in AI, this month, whatever. I haven't done one in a while. But enough is in place now that I can say: from where I'm standing, here's what I see coming. And I think most of this lands inside a three-year arc. Let me map it out. Context Frame We are not in AGI. We are in pre-AGI industrialization — infrastructure scaling, systems hardening, capability distribution. At the same t

Alright. Let me try to say this clean...Because yeah — I know. I've been loud about this. But this isn't another "AI changes everything" post. This is about capability. Not AI. Not tools. Not being technical. Capability. The simple fact that right now — you can do things that used to require teams, time, money, and coordination. Now you can just start. I've been trying to explain this for a while. There are 900+ articles on this site. Most of them orbit the same idea from dif

If you map the last five quarters of AI adoption, it looks linear on the surface. It isn't. What we're actually watching is a compression event — where multiple phases of a technology cycle are stacking on top of each other and unfolding at the same time. Most people are tracking headlines. A smaller group is tracking tools. Very few are tracking where the constraints are moving. That's the game. The Timeline (What People Think Happened) At a glance, it looks something like t

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’s a paper making the rounds right now saying something that sounds dramatic: AI will always hallucinate. And everyone’s reacting like this is some shocking revelation. It’s not. But it is an important reminder—especially right now. Timing Matters We’re in a moment where: AI just took another leap forward Agent frameworks, Claw everything, are exploding New users are pouring in at scale Which is exactly what we’ve all wanted. Seriously—I’ve been waiting years for this l

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

Let’s cut through it. If you feel like things just accelerated in a way that doesn’t make sense…You’re right. Because in the last few months alone, we’ve crossed a line that most people didn’t realize was this close. The Receipts Let’s anchor this in reality. AI agents are no longer demos—they’re executing multi-step workflows end-to-end People are paying $6K–$10K to install “agent stacks” on personal machines Founders are openly telling their kids: don’t optimize for traditi

Everyone is looking at AI through the wrong end of the telescope. They’re staring at chat interfaces, prompt tricks, productivity hacks, and viral demos as if that’s the story. It isn’t. That’s the foam on top. The real story is deeper, more physical—and a lot more consequential. This Is Not What Most People Think This isn’t just “AI getting better.” This isn’t just “work changing.” This is the moment intent starts becoming industrial. For a long time, digital systems were in