I want to tell you something that took me a while to fully internalize, even as someone who spends most of my time at the intersection of AI infrastructure and capital. The shift in how purchasing decisions get made isn't coming. It already happened. And most businesses — including good ones, established ones, ones with real customers and real revenue — are structurally invisible to the systems now making those decisions. Let me be precise about what I mean. What AI Buyers Ac

On autonomous content flywheels, AI editorial staff, and what happens when the bottleneck isn't the work — it's the decision. Every morning at 7:00 AM, before I've had coffee, a report lands in my inbox. It's not a newsletter someone else wrote. It's not a Google Alert digest. It's a structured intelligence briefing — researched, scored, and written by an AI that's been scanning the internet since before I woke up. It tells me what moved in the space I cover, ranks each story

On the transition from published interfaces to generated ones — and what it means for everything built on top of the web. A website, at its core, is a PDF with buttons. Sure, it's responsive. Sure, it has JavaScript. Maybe there's an AI chatbot in the corner. But fundamentally, every visitor gets roughly the same experience. Same layout. Same copy. Same navigation. Same calls to action. The same document, served to everyone. We've spent thirty years optimizing that model. Tha

By the time dinner was ready, we had a publication....Around midnight, Adam texted me a screenshot. He'd been kicking around an idea for a quantum computing news site and wanted my opinion on which domain to buy. I saw the message while I was winding down — probably watching TV — and mentally filed it under "I'll deal with that tomorrow." There was no business plan. No technical architecture. No product roadmap. Just a screenshot of a domain name. The next morning we had plan

I've been watching a specific pattern play out across every major technology transition of the last twenty years. It doesn't announce itself. It doesn't come with a press release. It shows up in the data first — quietly, then all at once — and by the time the mainstream conversation catches up, the window for early positioning has already closed. I'm watching it happen again right now with agentic AI. And the specific place it's showing up most clearly is in how businesses ge

The market will naturally treat the White House's latest quantum initiative as a technology story. That's understandable. Quantum computing, post-quantum cryptography, quantum sensing, and secure quantum networks sound like they belong in the world of software, semiconductors, cybersecurity firms, national laboratories, and defense contractors. And they do. But that's only the visible layer. The more important question for investors is this: What sits underneath it? Every maj

Today the White House dropped two executive orders simultaneously. One to build the most powerful quantum computer in human history. One to protect everything we have from what that computer will eventually be able to destroy...Read that twice. The same administration. The same day. One order to accelerate the technology. One order to defend against it. That's not contradiction — that's strategy. And it tells you everything you need to know about where we are on the quantum t

SpaceX hit $3 trillion this week. Let that sit for a moment. Not the number itself — numbers like that are hard to actually feel. But the context around it. Four days ago, SpaceX priced its IPO at $135 a share, raising $75 billion in the largest public offering ever recorded. By Tuesday it was touching $225. The market cap crossed $3 trillion before the ink on the prospectus was dry. Anthony Pompliano put it simply: Elon Musk made more money in the last 24 hours than Warren B

Three companies went public in the span of two weeks. SpaceX raised $75 billion in the largest IPO on record. Anthropic filed confidentially, coming off a valuation that touched $965 billion. OpenAI followed days later, targeting somewhere north of $1.75 trillion. None of this changed the models. None of it moved a data center. The infrastructure is where it was. The research is where it was. But something did shift — and it's worth being precise about what. When a private co

Anthropic just published a blog post called When AI Builds Itself. It's the most honest thing a frontier AI lab has ever put in writing. And the fact that they published it tells you everything you need to know about where we actually are. Let's start with the number that should stop you mid-scroll. More than 80% of the code currently being merged into Anthropic's production codebase was written by Claude. Read that again. The company building the AI is now primarily powered

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

Wolfgang Pauli was one of the greatest theoretical physicists of the twentieth century. He won the Nobel Prize. He helped build quantum mechanics from the ground up. He was, by every measure, a man who had spent his entire life explaining things. On his deathbed, he had one question left. "When I die, my first question to the Devil will be: what is the meaning of the fine structure constant?" He died in room 137 of the Rotkreuz Hospital in Zurich. He noted the number when the

There's a specific kind of institutional move that only happens when a company has stopped believing in its own product. Microsoft didn't announce that Copilot is getting better. They announced Microsoft Scout — a new "always-on personal agent" built on OpenClaw, the open-source AI framework that 355,000 people starred on GitHub in five months and that Microsoft had nothing to do with building. Let that sit for a second. The company that spent three years and billions of doll

Florida's lawsuit against OpenAI and Sam Altman dropped on June 1st. Eighty-three pages. First state in America to do it. The AG named the CEO personally, held a press conference in West Palm Beach, and said he expects other states to follow. He's right. They will. But here's the thing: none of this should surprise anyone. We have seen this movie. We have seen exactly this movie, with different actors, and we watched it play out over a decade — the internal documents, the sup

Michele Spagnuolo is 36, Italian, lives in Switzerland, and works on Google's security team. That is, as someone noted online, an excellent dating profile. It is also, as it turns out, the beginning of a federal rap sheet. In late 2024, Spagnuolo allegedly logged into an internal Google tool — one available to all 180,000 employees — that tracked what people all over the world were searching for in real time. He wanted to know who would top Google's annual Year in Search rank

I got stuck on my last article. I was writing about the three-way standoff between engineers, product managers, and designers — each convinced AI makes the other two obsolete — and I landed on "builder" as the synthesis. The role that emerges when the specialization tax collapses. One person, full loop, no institutional permission required. And then I couldn't stop pulling on that thread. Because "builder" felt right but incomplete. It described the function without naming th

There's a tension running through every product team in Silicon Valley right now, and it goes something like this: The engineer thinks they don't need the product manager anymore. AI can do product thinking. The product manager thinks they don't need the engineer anymore. AI can write the code. The designer thinks they don't need either of them. AI can generate both specs and interfaces. And here's the uncomfortable truth that nobody in this standoff wants to say out loud: Th

A quote is making its rounds. Kevin Roose — New York Times tech columnist, Hard Fork co-host, author of multiple books on AI — posted this on May 29th: "Overheard at an AI lab: 'How are you spending the last 300 days of work?'" That's it. No attribution. No lab named. No context beyond the quote itself. And yet it detonated. 487,000 impressions. Hundreds of replies. A full weekend of debate across tech Twitter, Reddit, and LinkedIn. Which tells you something important — not a

Remember that aliens.gov domain? It's live. And what just happened there might genuinely be one of the most technically sophisticated and hilarious deep trolls ever executed — at the institutional level, or maybe any level. Honestly? From a communications standpoint alone, it deserves recognition. This Was Narrative Architecture Most internet trolling is reactive. Someone posts something dumb, somebody quote-tweets them into oblivion, everyone moves on by dinner. This was dif

For years, GrapheneOS lived in a specific corner of the internet. Security researchers ran it. Journalists protecting sources ran it. Privacy advocates who knew what "attack surface reduction" meant ran it. The average person had never heard of it, and the average smartphone manufacturer had no reason to care. That just changed. Motorola announced a long-term partnership with the GrapheneOS Foundation at Mobile World Congress in March, committing to bring GrapheneOS compatibi