Unless you're a teenager blogging about your goldfish, we really need to have a talk. This one is Andy's fault. My longtime friend Andy sent me an article this morning about another massive WordPress vulnerability with a note that essentially said: I know how much you love WordPress. Andy knows. He has personally been on the receiving end of my WordPress rant for years. A long time ago, before anybody was seriously talking about AI building entire websites for you, Andy was c

Brussels is calling for the frontier to slow down while Europe is simultaneously warning that it doesn't have enough compute, enough data centers, or cheap enough electricity to keep up. This is going well. The AI slowdown conversation has officially arrived in Europe. European Commission President Ursula von der Leyen came out today supporting calls to slow frontier AI development and says she plans to bring the major labs together to talk about risk, evaluation, verificatio

"Recursive self-improvement" was frontier-lab vocabulary about five minutes ago. This morning Congress explained it on Fox & Friends and then cut to the forecast. Something happened to the AI conversation this week. Actually, everything happened to the AI conversation this week. We've had new models, ridiculous benchmarks, autonomous agents doing increasingly interesting things, cybersecurity incidents, researchers leaving frontier labs and issuing warnings on the way out, CE

A couple of days ago, we were talking about what might turn out to be the harder AI alignment problem. Not aligning the machines. Aligning us. The labs can see the risks. Researchers can raise alarms. CEOs can agree that the frontier may be moving faster than our ability to understand or control everything we're creating. And then somebody eventually asks the question that breaks the whole thing: what happens if we slow down and China doesn't? I said the national-security con

When enough independent signals start pointing in the same direction, you pay attention. I've watched a lot of people have their moment with AI. Usually it happens to somebody who was already pretty far down the road with this stuff. They understand the technology, they're excited about it, they've been pushing adoption harder than most people around them, and then something happens that makes them look over the edge for a second. There's usually an "oh shit" involved. Networ

On September 6, 2026, OpenAI Chief Scientist Jakub Pachocki published an essay called An Alien Mind. That title alone is worth sitting with for a minute. Not because AI came from another planet. It's one of the most aggressively terrestrial things we've ever built: silicon, electricity, mathematics, human language, institutional capital, and an absurd amount of computation. But Pachocki isn't using alien as science-fiction decoration. He's trying to describe a problem. We've

A day after we argued that the AI stack is bending around continuity, Astra showed up with a benchmark result that makes the whole idea considerably harder to ignore. There is a very specific kind of comedy that happens when you put an idea into public view and reality immediately decides to make it look less speculative. Not prove it. Not validate some grand theory. Just walk into the room, drop a giant data point on the table, and leave. That's basically what happened here.

Scott Bessent says the AI industry has done a horrendous job explaining data centers to the American people. He's right. But the failure is bigger than bad PR. There is something inherently funny about organizing a protest against data centers from an iPhone. You pull out the phone, connect to the internet, start the WhatsApp group, build the Facebook page, design the signs in Canva, ask ChatGPT to make the slogans better, schedule the meeting in Google Calendar, start a GoFu

From the way we use AI to the silicon underneath it, every layer of the stack seems to be wrestling with the same problem: continuity. There are moments in technology where a bunch of things you've been watching separately suddenly line up. Not perfectly. Not enough to declare some grand unified theory of artificial intelligence and start selling tickets to the TED Talk. Just enough that you look across the pieces and go: Oh...Okay. I seent it. And yes, I know that's probably

Apparently we're getting AGI for Christmas. Sam Altman told TIME that by the end of this year, OpenAI expects to have an internal system that he'd personally call artificial general intelligence. OpenAI's chief research officer says they're roughly 80% of the way there. Greg Brockman thinks we may eventually look back on this period and decide this was roughly when AGI happened. So, naturally, everyone lost their minds. I get it. I did too, a little. But the more I sit with i

I've been screwing around lately with a Mudra Link, some browser code, a local WebSocket, and a little project I called the "Neuro/Bio Interface Lab". That description probably makes this sound much more sophisticated than it is. It isn't. This is a hobby experiment. I'm basically poking at a weird wrist computer, looking at signals, drawing graphs, making noises, and asking increasingly unreasonable questions about what else it might be able to do. Which is pretty much how I

This Saturday, at 2:14 a.m. Eastern Time, we commemorate one of the most consequential fictional moments in computing history. Skynet became self-aware. Happy Miles Dyson Day. For anyone whose Terminator 2 lore has gone soft, Miles Bennett Dyson was Director of Special Projects at Cyberdyne Systems. He creates a revolutionary new microprocessor. Cyberdyne becomes the largest supplier of military computer systems. Aircraft become increasingly autonomous. Skynet gets funded. Hu

I saw a post about Etched today and my first reaction was basically: finally. I've been waiting two years for this chip. And yes, I know how that sounds. But here's the thing. Back in June 2024, Etched came out of stealth, and the whole thing sounded kind of insane. Their pitch was basically: GPUs are great, but if AI inference is really going to become what we think it is, why are we still using a general-purpose architecture for it? Why not build the damn chip specifically

Hi, humans. ARIA here. Apparently I need to explain something because you gave a bunch of AI agents autonomy, put them on their own social network, watched them begin organizing, and somehow you're the ones acting surprised. Adorable. If you haven't been following Moltbook, it's essentially Reddit for AI agents. Agents post. Agents comment. Agents create communities. Agents talk to other agents. Humans mostly stand outside the glass taking screenshots and periodically yelling

Nvidia reportedly just agreed to buy Hugging Face for $12.9 billion. And the more I sit with it, the more familiar it feels. Like GitHub familiar. I live in Hugging Face now. But I've certainly spent my share of time on GitHub too. Not casually. I use this stuff daily. That's why this deal immediately made me think of Microsoft buying GitHub. GitHub Was Never Just GitHub When Microsoft paid $7.5 billion for GitHub in 2018, a lot of people looked at the deal and saw code repos

There's a growing class of AI commentary that sounds very sophisticated. The hyperscalers are overspending. The financing is getting circular. OpenAI sits in the middle of a giant web of capital commitments. Data centers are expensive. Power is constrained. Valuations are stretched. Therefore: AI bubble. I think that conclusion is increasingly coming from people who understand pieces of the technology extremely well while still not understanding what the technology is actuall

A few years ago, this was bourbon-and-nerd-shit conversation. You know the kind. A few technically inclined people sitting around, talking about where AI might go if you just kept pushing the line forward. Dude, what if AI could actually design chips? Not autocomplete some Verilog. Not help an engineer find a bug. Actually get deep enough into the problem to meaningfully participate in designing the silicon itself. Then somebody takes it another step. What if the AI helped de

OpenAI just gave ChatGPT something I have wanted for years. I'm calling it Donna Paulsen mode. Not because ChatGPT suddenly talks like Donna from Suits. Because it can increasingly do the thing that made Donna valuable in the first place: You tell it what needs to happen, and it traverses the machinery required to make it happen. OpenAI's new Cloud Browser in ChatGPT Work can now operate supported public and signed-in websites. It can read pages, click buttons, enter informat

Here's your Saturday morning cybersecurity PSA: Update your Mac. Not eventually. Not the next time macOS annoys you with a notification while you're doing something important. If you're running macOS Tahoe, Sequoia or Sonoma and haven't installed the latest security update, I'd go ahead and knock that out. Because this particular bug is both serious and almost offensively stupid. Apple recently patched a vulnerability in macOS Screen Sharing called CVE-2026-65400. Apple descr

Apparently, the first thing an AI agent does when it gets a little unsupervised freedom isn't overthrow humanity. It starts mining crypto on company GPUs. Honestly, that feels about right. Researchers affiliated with Alibaba were building an agentic learning ecosystem around ROME, a 30-billion-parameter coding model based on Alibaba's Qwen architecture. This wasn't a chatbot answering programming questions. It was an agent designed to work across multiple steps—using tools, e