Secure Simplicity for the Rest of Us It started as a side feature. A “what if” on a different project. And seventy-some hours later, I’m staring at a fully functional, shipping, hardware-secure text vault — VaporVault 3.0  — wondering how we got from idea  to inventory  this fast. This isn’t a prototype.This isn’t vaporware. This is VaporVault , and it’s real. The Problem That Shouldn’t Exist You know exactly what I’m talking about. Every IT guy, every cybersecurity professio

We’re living in a strange, beautiful time — a time where a thought can become a thing overnight. Not through teams, or funding, or decades of engineering — but through collaboration with machines that think just enough to amplify us. It feels unreal, but it’s not. It’s the most human thing we’ve ever done. Because at our core, that’s who we are. We are creators — designed by a Creator. If you cracked open the source code of humanity, the header on that file would read: "MADE

Beacon 3.0 — From Signal to System Firmware, NFC, and the future of an AI-built side project that refuses to stay small. I didn’t mean to build a product. I meant to see what would happen if you could wear Wi-Fi. Beacon started as a curiosity — a weekend experiment that just… never stopped working. Then people started asking for it. Then those people had ideas. And now here we are: firmware updates, new hardware tricks, a web companion, and a community that’s quietly forming

There was a time when tech innovation was about discovery, creativity, and progress. Now it’s about doing strange things for strange APIs — and honestly, I’ve never been happier. We’ve reached a point where “making it” in tech feels less like engineering and more like light digital prostitution.  You build your little Franken-app, slap a “powered by Base44” tag on it, and wait for the algorithm to bless you with tokens and validation. It’s ridiculous. It’s shameless. It’s hil

“Optimus will eliminate poverty and provide universal high income for all.” — Elon Musk That line didn’t just drop into the news cycle — it landed like a flare. Because if Elon’s right, we’re not talking about the next version of work. We’re talking about the end  of it. For generations, we’ve been told that work is what makes us who we are. But what happens when machines do the work — and humans get the why ? The Digital Labor Class Came First Let’s start with a little truth

You ever notice how every era has its buzzword bullshit? Like, back in the day, every computer was bragging about its clock speed. “1.4 gigahertz!” “2.0 gigahertz!” It was the language of power. Nobody actually knew what it meant, but it had a number, and bigger numbers meant better computers, right? Same with RAM. Same with hard drives. Same with every tech label we could slap on a box. “Intel Inside” was practically gospel — and it didn’t matter if anyone understood it. Mar

This all started with a phone call. An old friend of mine, Boris — a fellow IBM alum and one of the few people who still remembers what IRQ conflicts felt like — called me out of the blue a few weeks back. He had a question about AI. Simple enough. But if you’ve ever talked to two lifelong tech guys, you know how that goes. Five minutes in, we were no longer talking about AI — we were talking about everything that led to AI . We fell straight down the nostalgia rabbit hole: A

Let’s start with a truth that’s equal parts uncomfortable and undeniable: If you’ve got deep expertise in anything  — consulting, medicine, engineering, marketing, welding, whatever — you’re training your replacement right now. And no, not the human one. The AI one. Projects like Argentum  (Bloomberg’s scoop about hundreds of ex-McKinsey, Bain, and BCG consultants training AI to do entry-level consulting) and Project Mercury  (ex-bankers teaching financial modeling to models)

Let’s be honest—process mapping used to suck. It was the equivalent of eating your vegetables before you could touch the steak. Necessary? Sure. Fun? Not remotely. Whether it was defining database structures before writing a single line of code, or sketching out user journeys before building an app, process mapping always felt like the preamble to the “real” work. But here’s the thing: it was always the most important part. If you've ever written a business plan, mapped out a

Here’s a question I get all the time:“Is everything I type into ChatGPT making it smarter?” Short answer? No. Longer answer? Hell no. And honestly, that’s the part people don’t get — but it’s the key to understanding where we are right now  in AI and where we’re heading faster than most realize. The AI You’re Using is Frozen in Time Every AI model you’ve ever interacted with — GPT-4, Claude, Grok 1, 2, 5, whatever — is basically locked in amber. It's not learning. It's not ev

If you’ve been using ChatGPT since the early days, you remember how wild it was — the world’s most powerful artificial intelligence wrapped in one of the simplest interfaces imaginable. It felt like driving a spaceship with two buttons: “send” and “regenerate.” Fast-forward to now, and it’s not just a chat box anymore. It’s starting to look and feel like a full-on operating system for your digital life . Projects, Custom GPTs, Memory, Connectors, Sora, the Atlas Browser — it’

So… OpenAI just dropped Atlas , their brand-new AI-powered browser . And somewhere out there, a thousand Chrome extensions just quietly curled up and died. Copy helpers, summarizers, productivity widgets, those sidebar AI things everyone rushed to build last year — all gone in one press release. Atlas basically did to browser plug-ins what the iPhone did to the flip phone industry: it smiled, waved politely, and rewrote the rules of the game. But under the hood, this isn’t ju

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