The Power Proompter: AI's New Keyboard Warrior

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The AI benchmarking cult strikes again! Everyone's obsessed with those radar charts comparing Large Language Models using some bizarre "ball turning test" metric that nobody actually understands. It's just a bunch of geometric shapes that supposedly prove one model is better than another. The joke here is that these comparison charts have become so ubiquitous in AI discussions that even though they're practically meaningless to most developers, everyone nods along pretending to understand what they're looking at. Classic tech impostor syndrome - nobody wants to be the one to ask "what the heck does this actually measure?"

When the job posting says "Junior Developer - 0-2 years experience" but also requires "Expert in 17 frameworks, machine learning, quantum computing, and ability to debug code by smell alone." That's how we end up with this 55-year-old "junior" looking like he's seen some shit. By 2025, entry-level positions will require you to have invented time travel just to acquire the necessary experience. The name tag is just the cherry on top - "AI Technician" because apparently, that's what we're calling "copy-pasting from Stack Overflow with extra steps" these days.

You: "Why can't I find a job? I have 5 years of React experience and a CS degree!" Meanwhile, some kid in their bedroom is casually implementing ChatGPT in Minecraft redstone circuits – basically creating artificial intelligence using virtual blocks that were originally designed to make doors open automatically. The job market isn't competitive at all... it's just that while you're updating your LinkedIn profile, the competition is casually bending the laws of computer science in a game meant for children. No pressure!

First dev: "I'll just hardcode every single number from 1 to infinity with its even/odd status. Efficiency!" Second dev: "Why use simple modulo math when you can just outsource your basic arithmetic to a GPT model? That's 500KB of code and a $10 API bill to determine if a number is divisible by 2." The evolution of problem-solving in 2023: from hilariously inefficient to absurdly overcomplicated. Because nothing says "modern software engineering" like turning a one-line function into an enterprise-grade AI solution with cloud dependencies. Next week: "IsPositive() function now requires stable internet connection and cryptocurrency wallet."

When your AI pair programmer decides your codebase needs an "intervention"... 3,000+ lines of pristine, architecturally sound code that's completely non-functional. It's like hiring a interior designer who replaces your cozy but functional IKEA setup with museum-quality furniture you can't actually sit on. That moment when you realize Claude 4 has simultaneously solved and created all your technical debt in one go. Your git diff is now longer than the entire Lord of the Rings trilogy.