Anthropic just got blessed by the Pope. Take a second with that sentence. Because I promise you, nobody writing AI forecasts five years ago had that on their bingo card. This week, Anthropic co-founder Christopher Olah met with the Vatican as part of a formal ethical collaboration between the lab and the Catholic Church. Not a photo op. Not a brief handshake. An actual working partnership around the moral implications of artificial intelligence. The world's most consequential

Full Audio (approx 2 hrs) Introduction A while back I ran a thought experiment. It started with a chip lab in Belgium — Imec, one of the most secretive semiconductor research facilities on earth — and a question that sounds simple until you sit with it: what happens when Moore's Law actually hits the wall? For fifty years, Moore's Law was the metronome of the entire technology industry. Transistors doubled every two years. Processing got faster, cheaper, smaller, on a schedul

Six months ago I called the open source AI explosion a TCP/IP moment. I got some of it right. I got some of it wrong. And what I missed entirely is the part that actually matters.

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.

I'm writing this to be read a year from now. Six predictions, grounded in what's actually happening today. The device. The agents. Physical AI. Quantum. Governance. And the one nobody sees coming. Hold me to it.

A year ago I called it a techquake. ARIA said the tipping point was 2027. It's May 2026. Let's run the tape.

Google I/O 2026 wasn't about models. It was about owning the infrastructure layer beneath every AI agent on earth — and the distribution moat no other company can replicate.

There are two deals this week that every executive, investor, and technologist needs to understand. Not because of the dollar amounts — though the dollar amounts are staggering — but because of what they reveal about where AI actually lives. Hint: it's not in the model. It's in the infrastructure. Deal One. Apple is paying Google approximately $1 billion per year to license a custom 1.2 trillion parameter Gemini model to power the next generation of Siri and Apple Intelligenc

Somewhere around 84% of the world's population has never used an AI tool. Not once. And that is the real story — but I have to be honest with you, it also just sounds crazy to me. Like, genuinely. We have access to something that can think alongside us, that can help us navigate the most complicated moments of our lives, that can make us smarter and faster and more capable at almost anything we put in front of it — and most people have just... not tried it. I don't say that t

Three days ago, AT&T, T-Mobile, and Verizon announced something that doesn't happen often: they agreed to work together. The joint venture — still subject to final paperwork — is designed to end wireless dead zones in the United States. The mechanism is direct-to-device satellite connectivity, pooling spectrum resources across all three carriers into a unified platform that satellite providers can plug into. The stated goal is to nearly eliminate coverage gaps in areas curren

I want to show you what 90 days of consistent execution actually looks like. Not a course. Not a strategy deck. Not a pitch. Real numbers from my real businesses — and a clear explanation of exactly how the system behind them works. Where This Started About three years ago I wrote a post called Advanced Prompting: My Growing Staff for the Modern Era. It was an early sketch of what I was building — AI personas functioning as specialized staff across different domains. Jordan t

I've been at this for a while now. Long enough to have watched two very different groups of people encounter AI tools — one group that lights up and gets genuinely better at what they do, and another group that pokes at it for a week, concludes it's overhyped, and moves on. The difference has almost nothing to do with which tool they're using. It has almost nothing to do with their technical background. It has everything to do with a handful of mental models that nobody bothe

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

I'm going to be honest — I wasn't planning to talk about VaporVault this week. But then the 16 billion credential story dropped, and a few people reached out asking if I'd seen it. And I kept thinking about this little device sitting on my desk that I built about six months ago, mostly out of frustration, mostly at 3am. And I figured — yeah, this is probably worth bringing back up. Not because VaporVault solves the breach. It doesn't. Nothing does. But it does solve the speci

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.

On Sunday, May 10th — Mother's Day, of all days — the Debian project quietly dropped an announcement that should be making headlines across every security operations center, every forensic lab, and every threat intelligence team paying attention. They made it official: Debian is going 100% reproducible. As in, every single package in the main repository. Not aspirationally. Not as a roadmap item. As policy, effective immediately. The exact quote from the release team is worth

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

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

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