When The Shared AI Code Actually Works

Microsoft really looked at GitHub Copilot and said "you know what this needs? More versions." Like one AI code assistant wasn't enough to haunt your dreams with questionable suggestions, now we've got Copilot 365 for your spreadsheets, Copilot for Web to mess up your browsing, and probably a Bing version that nobody asked for but exists anyway. The meme uses the classic "but what about second breakfast" format from Lord of the Rings, except instead of hobbits wanting more food, it's Microsoft executives wanting more Copilot variants. Because apparently, the solution to everything is slapping "Copilot" on it and calling it innovation. Next up: Copilot for your toaster, Copilot for your car, Copilot for your Copilot. At this rate, we'll need a Copilot just to keep track of all the different Copilots.

Scientists: "We've created an AI that's consistently wrong." Tech CEOs: "Ship it." And that's how we ended up with chatbots that confidently explain why you should add milk before cereal, virtual assistants that send your grocery list to your ex, and AI that swears your code will work perfectly despite 47 syntax errors. The modern tech industry in a nutshell: if it's broken but profitable, it's a feature not a bug.

The eternal struggle of our profession: Stack Overflow tells you you're an idiot for asking basic questions, while ChatGPT cheerfully validates your most questionable code decisions. After 15 years in this industry, I've learned that validation feels better than correctness. Who needs code review when you can have an AI tell you your spaghetti code is "absolutely right"? The best part is ChatGPT won't even remind you that this question was asked 7 years ago and marked as duplicate.

Nothing says "thanks for your dedication" quite like getting replaced by a shiny new tool that's been around for 6 months. Your senior dev who knows the entire codebase inside out, survived three major refactors, and can debug production issues blindfolded? Yeah, the founder's more interested in that hot new AI that hallucinates code and confidently suggests importing libraries that don't exist. The real kicker? That loyal coder probably spent the last year training the AI on the company's codebase. Galaxy brain move right there. It's like spending five years building someone's dream, only to watch them run off with a chatbot that can't even pass a basic code review without suggesting you install npm packages from 2015. Pro tip: Job hopping every 2 years isn't disloyalty—it's pattern recognition.

When everyone's out here treating ChatGPT and Copilot like their personal coding assistants, and you're just... not. You've somehow made it through an entire year writing actual code with your actual brain, and now you're wearing that smug superiority like a badge of honor. While your coworkers are prompting their way through PRs, you're out here manually typing semicolons like it's 2019. The look says it all: "I still remember what a for loop looks like without asking an AI." Whether that's admirable or just stubborn is up for debate, but hey, at least your GitHub contributions are authentically yours.

So Michael Burry thinks trade jobs are "AI-proof" and uses Claude to do electrical work around his house. Then he drops the absolute bomb: "I am not so sure." The guy who predicted the 2008 housing crisis is now betting against the "AI won't replace blue-collar jobs" narrative. If an AI chatbot can guide someone through electrical work—a field requiring years of apprenticeship, code knowledge, and the ability to not die from 240V—what's stopping it from replacing actual electricians? The irony is chef's kiss: while using AI to do trade work, he realizes trade work might not be safe from AI. It's like watching someone discover they're standing on the thing they're about to short sell. The "Big Short 2026" format suggests we're heading toward another market collapse, except this time it's the job market getting wrecked by AI. Burry's track record of being catastrophically right about catastrophic things makes this extra unsettling. Time to learn underwater basket weaving—surely AI can't do that... right?