Secretary of State Marco Rubio put out a statement yesterday. Official State Department letterhead, Great Seal, the whole thing. Posted on U.S. government channels — including, apparently, in Chinese, on platforms where Chinese state agencies could see it. It said, plainly, that thirty-seven years ago today the Chinese Communist Party ordered its troops to open fire on students, workers, and civilians gathered peacefully in Tiananmen Square. It named what happened. It said th

Plato's cave. An 80-year-old unsolved math problem. Bell Labs. And what happens when something finally turns around and sees the fire. A meditation on the structure of knowledge — and what AI just revealed about the cave we've been sitting in.

President Trump landed in Beijing today for the first visit by a sitting US president to China in nearly a decade. Walking down the steps of Air Force One beside him: Elon Musk. Jensen Huang. Tim Cook. Larry Fink. And twelve more CEOs representing the full weight of American industry — semiconductors, finance, defense, agriculture, energy, and consumer tech — all in one place, at one moment, for one conversation. A brass band played on the tarmac. Flag wavers lined the runway

We've left the nanometer era. What comes next changes everything about how AI gets built — and who controls it. I've been watching the semiconductor industry from the infrastructure and AI strategy side for a long time. And what TSMC just announced — the A14, A13, and A12 process nodes — sounds like another incremental press release until you understand what the "A" actually stands for. Angstrom. One tenth of a nanometer. We are now building transistors at a scale where indiv

Right now, as peace talks hang by a thread over the Strait of Hormuz, the most important military technology story of the decade is playing out in real time — and almost nobody is framing it correctly. This isn't a story about missiles and drones. It's a story about networks. Iran built its entire offensive doctrine around a 2024 playbook. Blind the Patriot radar. Launch the drone curtain. Saturate with cruise missiles. Exploit the cost asymmetry — $50,000 Shaheds against $45

In December I wrote about the moment before the quantum acceleration — the glide phase, the pre-click hum, the sense that all the pieces were seating themselves. The tone was optimistic. New Legos on the table. The universe as a construction set. Five months later, the click isn't just closer. It has a specific, uncomfortable target: the encryption protecting everything you do online. and the timeline just collapsed. Three Papers in Three Months In December, "Q-Day" — the the

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