I Do Not Have That Much RAM

So you're feeling adventurous, installing Linux for the first time, everything's going smooth. Then you hit a snag and ask your favorite AI chatbot for help. It confidently spits out some commands, and you—being the trusting soul you are—copy-paste them straight into the CLI without reading. Plot twist: the AI gave you commands for a completely different file system. You just shoved RTFM (Read The Freaking Manual) instructions into a CLI that expected something else entirely. Now your system is toast, Linux won't boot, and you're lying face-down on the pavement wondering where it all went wrong. The moral? AI is like that friend who sounds confident but doesn't actually know what they're talking about. Always skim what you're running, or you'll be reinstalling your OS at 2 AM while questioning your life choices. Fun fact: RTFM exists for a reason, and that reason is preventing exactly this kind of disaster.

Remember when we used to memorize algorithms and syntax? Yeah, me neither. The meme shows our brains shrinking to pea-size after using ChatGPT for coding. Why bother storing all that knowledge when you can just prompt an AI? "Hey ChatGPT, how do I reverse a binary tree while making coffee?" and boom—instant solution without taxing those precious neurons. Soon we'll just be meat puppets with thumbs for typing prompts while our atrophied brains handle the critical task of deciding when to get more coffee. Progress!

VCs throwing billions at AI startups with business models shakier than a junior dev's first production deployment. "We have GPT wrapper #47,382 that does the same thing as the other 47,381 but with a slightly different UI." Investors: "Here's $100M at a $2B valuation." The funding frenzy is so absurd that companies are literally getting money for promising to build something that already exists, wrapped in buzzwords like "agentic AI" and "multimodal LLM orchestration." It's the dot-com bubble but with more hallucinations and less common sense.

The modern developer's digital mirror match! GitHub Copilot is shaking hands with itself in the ultimate AI narcissism loop. When your code assistant both writes and reviews your code, it's basically just patting itself on the back. "Great job me, I approve of what I wrote!" This is peak programming efficiency—why waste time having humans review code when the robot can just high-five itself? The circle of AI life is complete. Next up: GitHub Copilot creating pull requests for problems it invented while reviewing its own code.

Back in 2022, debugging was just you versus the bug. Simple times. You'd stare at it, it'd stare back, maybe you'd win, maybe you wouldn't. Fast forward to 2026 and now Claude's here acting like your overprotective bodyguard, ready to eliminate the bug before you even finish reading the stack trace. You've gone from solo developer to the guy being escorted by AI SWAT teams. Sure, it's efficient, but there was something pure about manually console.logging your way through a null pointer exception at 2 AM. Now the AI fixes it in 0.3 seconds and you're just standing there wondering if you even have a job anymore.

The AI gold rush in a nutshell! Companies claiming to have "built revolutionary AI products" when they're just wrapping GPT-4 in a fancy UI and calling it innovation. It's like Dave's brilliant "homemade megaphone" that's literally just... a megaphone with extra steps. The recursive definition is chef's kiss perfect—they're not creating anything new, just repackaging what already exists and slapping their logo on it. The technical term for this is "API arbitrage," but the business term is "genius" apparently.