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.

Milla Jovovich is best known for saving humanity in post-apocalyptic fiction. Last week, she may have done something more useful.

Anthropic cut off 135,000 OpenClaw instances, handed its biggest developer ecosystem to OpenAI, then announced $30B in revenue and a multi-gigawatt compute deal — all in the same week. The pattern has a name.

Google dropped Gemma 4 — four open-source models, Apache 2.0, running locally on consumer hardware, ranking #3 in the world. The open source agent community wired it into OpenClaw within hours. Here's why this changes everything.

Three days ago, Anthropic pulled the plug on OpenClaw. This morning, OpenClaw shipped native video and music generation. And Apple is about to show us what it looks like when you build the same orchestration layer on 1.5 billion devices.

There's a specific kind of madness that lives inside people who build things. It kicks in the moment something actually works.

Five signals. One conclusion. The grid hit its limit at the very beginning of the demand curve — before 84% of humanity ever typed a prompt. The canary has been dead for a while.

$710 billion committed. Grid queues running 3-5 years. Virginia is full. The bottleneck isn't compute — it's power, and permitted energized land just became a new asset class.

Goldman Sachs, Morgan Stanley, and Jefferies have all stood up dedicated AI infrastructure investment banking practices in the last 90 days. When the banks build teams, the capital follows.

Three people. One room. Fifteen calls. Two meetings playing simultaneously in the same ear. This is what the front lines of the AI infrastructure build-out actually look like.

I just wanted to see if I could build a wearable AI interface from scratch. Turns out I could. Meet the ARIA Node — and the moment my AI rewrote its own hardware interface.

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

There is a certain kind of irony that only the AI era could produce. Yesterday, an engineer named Kevin Naughton Jr. posted one of the more remarkable confessions in recent tech history. As the engineer responsible for shipping the latest dev/claude-code npm package, he wanted to improve the debugging experience for his team. Noble goal. Standard practice. So he included source maps in the release. If you are not a developer, here is what that means: source maps are essential

For the last decade, the technology sector has operated under a simple, brute-force paradigm: if you want faster data processing, higher-resolution simulations, or smarter AI, you buy more silicon. You build a bigger data center. You consume more power. But physical infrastructure eventually hits a wall. Today, the constraints of power grids, cooling systems, and memory bandwidth are bottlenecking the next leap in computing. And the industry is rediscovering an old truth: whe

August 2023. That's when I first wrote about it. Not as a prediction. As an observation about something that was already happening — the slow, inevitable collapse of the industrial-era classroom model and the arrival of something better. The piece was called Back to School or a New Dawn in Education? Most people scrolled past it. A few thought I was being optimistic. Some thought I was being naive. This week, Mackenzie Price, co-founder and CEO of Alpha Schools, sat down wit

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

Everyone thinks Apple lost the AI race. What if they've been playing a different game all along? Not the hyperscaler race. Not the frontier model race. Not even the benchmark race. A different game entirely — the one that matters most when 1.5 billion people carry your hardware in their pocket every single day. Let's talk about what's actually coming at WWDC. And more importantly, what it means for where phones, software, and AI agents are going in the second half of 2026. Fi

There are decisions in life you make alone. And then there are decisions — the real ones — where you know better than to act without counsel. I needed new glasses. Not just any glasses. Meta glasses. The ones with the AI built in. The ones that are either the beginning of ambient computing as a daily reality or the most expensive way to look slightly confused in public. And I knew, before I clicked "add to cart," before I walked into any store, before I entertained a single o

If you’re just getting into AI, let me save you a lot of time: You do not need a secret prompt framework. You do not need “ 8 prompts that change everything. ” You do not need to sound like a prompt engineer. You do not need to memorize viral templates from people claiming breakthroughs. What you need is much simpler: You need to learn how to communicate clearly with the model. That’s it. The problem with what you’re seeing right now There’s a wave of AI content going aroun