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

Let me be direct with you: this one is real, and it's not a drill. In June 2025, cybersecurity researchers at Cybernews uncovered 30 separate databases sitting on unsecured cloud servers — a total of 16 billion exposed login credentials. We're talking usernames, emails, and plaintext passwords, organized by website URL and ready for immediate use. Apple. Google. Facebook. VPNs. Developer portals. Government services. The footprint is so wide that the researchers couldn't name

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

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

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'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

275 million users. 9,000 schools. One breach. That's the scale of what just happened to Canvas — the learning management platform built by Instructure. Student records, messages, user data — potentially exposed across nearly every major university and K-12 district in the country. And here's the part nobody wants to say out loud: this was predictable. We've spent the last three years racing to connect every platform, every tool, every AI feature to centralized identity system

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

We built AI while driving 80 miles an hour down the highway. Every model, every product, every platform — bolted onto the internet in real time, while the car was moving, while people were in it, while nobody had agreed on the speed limit or even which lane we were supposed to be in. And at no point during any of that did anyone pull over to explain what was happening. That's the real story behind the backlash. Not the Molotov cocktail through Sam Altman's window. Not the Sta

We spent the last three years watching AI models get bigger, stranger, and more capable in ways we couldn’t quite explain. First it was text. Then vision. Then audio. Then video. Then reasoning. Each one its own lane, its own model, its own interface. Then somebody asked: what if we stopped treating these as different tools and started treating them as different senses? That’s multimodality. And when it clicked — when a single model could see, read, hear, and reason simultane

Last week Google quietly updated the post-quantum cryptography clock in a way that most security leaders haven't fully processed yet. Their announcement wasn't framed as a warning. It wasn't a white paper with a scary title. It was a technical update — the kind of thing that lands in an engineering blog and gets picked up by specialist press before it reaches the boardroom. But the business implication is straightforward: the timeline for quantum-capable computers to threaten

Meta just did something most Fortune 500 companies haven't done yet: they published exactly how they migrated their infrastructure to post-quantum cryptography — in detail, with real engineering lessons, for everyone to read. The document is dense. It's written for engineers. But the implications aren't technical. They're strategic. And if you run a company that handles sensitive data, stores long-lived records, or operates in a regulated industry, this playbook is a gift you

Star Trek didn't just predict technology — it set the cultural coordinates for what humanity was supposed to be reaching toward. Then Kurtzman broke the mythology. Now Paramount is doing a hard reset. And it matters far more than a TV franchise story.

Nvidia, Tesla, xAI, and SpaceX aren't competing with each other. They're assembling a vertical stack from silicon to space. Here's what that means — and where the real bottleneck still lives.

OpenClaw 4.11 lets you import your entire ChatGPT history into a Dreaming memory system that learns who you are. For those of us who've been archiving AI output for years — this is the payoff.

Two of the most advanced AI labs in the world have independently built models so capable at hacking they won't release them publicly. The IMF is alarmed. So is the Fed. Here's what's actually happening.

I didn't plan to be awake at 4am last night. But I never do. I downloaded Google AI Edge Gallery on my iPhone and the next time I looked up it was past 4 in the morning.

Jensen Huang said AI needs a system of record to know what's actually true. He was describing enterprise software. But the logical architecture he outlined points somewhere else entirely.

A vibe coding app made a commercial that looks more like Apple than Apple does. Then Apple pulled it from the App Store. The internet noticed.