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

Let me tell you about a company you've probably never heard of — and why that's not an accident. Palantir was founded in 2003. Two of its earliest backers were Peter Thiel and In-Q-Tel — which is the CIA's venture capital arm. Not a firm that does work adjacent to the intelligence community. The actual CIA's actual investment fund. So from day one, the CIA was writing checks to build this thing. And for its first three years, the CIA was Palantir's only customer. That tells y

Not a market crash. Not an earnings miss. Not a Fed announcement. A warning page update from a private AI company — and a tokenized pre-stock market lost 27% in hours, with implied valuations evaporating so fast the math stopped making sense. Welcome to the new pre-IPO secondary market. Where retail investors buy shares that don't exist, in companies that never authorized the sale, through structures that a corporate lawyer could void on a Tuesday afternoon. What Anthropic Ac

The headlines say GPU prices are dropping. That's true, but it's also the least interesting part of what's happening right now. What's actually happening is a market sending distress signals that have nothing to do with consumer generosity — and everything to do with inventory fear, demand collapse, and a quiet technological arms race that most people haven't noticed yet. Pay attention to all three at once, because they're connected. Signal One: The Price Drops Aren't a Sale.

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

The On-Ramp Problem Nobody Is Building For I'm dictating this through an earpiece. Not because it's novel. Not to make a point. It's just become how I work. At some point in the last year, my primary interface shifted away from a monitor, a mouse, and a keyboard toward something closer to a conversation that follows me from device to device. I get responses back in audio. I think out loud. The model listens, processes, and keeps up. It fits inside the life I already have and

There was a news story a couple weeks ago that barely made a ripple. No viral clips. No breaking news chyrons. No outrage cycle. And it's going to matter more than almost anything else you've read this year. On April 20th, President Trump invoked the Defense Production Act — wartime-era emergency powers — specifically targeting the electrical grid. Not for defense. Not for a crisis. For transformers. For switchgear. For the boring, industrial, decidedly un-glamorous equipment

The tech press has spent the last few months covering AI acquisitions as a talent story. Smart founders, hot tools, big checks. Community reacts. Hacker News threads spike. And then we move on. We're missing the actual story. OpenAI now owns the Python toolchain — UV and Ruff — that the majority of serious AI developers use to build AI products. Anthropic owns Bun, the JavaScript runtime their own coding product ships on. OpenAI also acquired TBPN, a daily live tech media pro

The developer community just had a collective realization in April 2026. It's been spreading through forums, Substacks, and builder channels for the past few weeks. And if you've been following the conversation around autonomous AI agents, you've probably seen some version of this argument surface: The model doesn't matter as much as everyone thought. The loop does. I've been saying a version of this for three years. Not as a theory. As a lived operational reality. What the D

A California startup called SPAN just announced something that would have sounded absurd five years ago: small AI data center nodes — called XFRA units — mounted on the outside walls of homes across America. Backed by NVIDIA and partnered with homebuilder PulteGroup, SPAN is testing a distributed compute network that turns residential electrical capacity into enterprise-grade AI infrastructure. The hardware is real. The partners are serious. And the timing is not a coincidenc

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

Last week, the Pentagon unveiled a budget request with a number buried inside it that deserves more attention than it's getting. Fifty-four billion dollars. For drones, autonomous weapons systems, and AI-driven battlefield technology. In a single year. That's more than the entire military budget of most nations on earth. It's more than Ukraine's full defense spend. And it's not the ceiling — it's the opening bid. If you want to understand where AI is actually going, don't wat

There's a story going around right now that the Trump administration is reversing course on AI — that after spending a year tearing down Biden-era oversight, the White House is quietly rebuilding it. The framing is irresistible: political hypocrisy, a made-for-TV U-turn, the deregulators becoming the regulators. But that framing misses the more important story. What's actually happening isn't a flip-flop. It's a collision — between the speed at which AI is developing and the

There's a 732-byte Python script floating around the internet right now that can give any unprivileged user full root access on virtually every Linux machine that's been updated since 2017. No race conditions. No kernel-specific offsets. No compiled payloads. Just run it, get root. This is CVE-2026-31431 — nicknamed CopyFail — and it's already on CISA's Known Exploited Vulnerabilities list and confirmed active in the wild by CrowdStrike. The story of how it was found might be

There's a conversation happening right now that sounds informed but isn't. It goes something like this: AI is destroying the planet. One query uses a pound of water. AI is consuming hundreds of millions of gigawatts of electricity. We're cooking the Earth so you can ask ChatGPT what to make for dinner. Let me stop you right there. These claims aren't just overstated — they're factually wrong and the units alone will tell you everything you need to know about who's driving the

Most people have never heard of GitHub. Most people's lives run on it anyway. If you've used software in the last fifteen years — and you have — there's a GitHub link somewhere in its ancestry. Not metaphorically. Literally. The app on your phone, the website you're reading this on, the operating system in your car, the code running in the hospital down the street. Somewhere upstream, at some point in its creation, a developer pushed code to GitHub. That's just how the modern

I've written about this before. A few times, actually — from different angles, at different points in the AI curve. The latent space piece from late 2023. The "New to AI" post from March. The NOVA piece where I started unpacking what GPT-5 actually demands from you. But I want to bring it full circle, because a conversation I had this week crystallized something I've been circling for a while. We were talking about how the whole prompting obsession has basically become theate

This morning I joined Ryan Moeller's LinkedIn Live — The Quiet Revolution: How the AI Community Is Building Its Own Launch Pad. I had 60 seconds and a flight to catch. But I've been thinking about that conversation ever since I left the room. Here's what actually happened in that session that you won't get from a highlight reel. Nino Jambalbo — former CTO, now focused on AI literacy — walked the group through a framework he calls the Game of Work. Level zero through level fou

The UBI debate is having the wrong argument. On one side, you have the tech right — Andreessen, Verdun, the Palantir crowd — insisting that technology always creates new jobs and that UBI flattens incentive gradients. On the other side, you have the progressives pointing out that basic income doesn't kill ambition, it enables it. Darwin needed financial security to develop the theory of evolution. The lost Einsteins problem is real. Both sides are correct about things that do

Sam Altman posted two sentences this morning and 650,000 people read them. "Feels like a good time to seriously rethink how operating systems and user interfaces are designed. Also the internet — there should be a protocol that is equally usable by people and agents." Two sentences. Enormous implications and I don't think most of the people who liked it understood what he was actually saying. I replied with two words: Polymorphic OS. Let me explain what I meant. The Assumptio