It Will Replace You Not Me

The world map lights up beautifully for infrastructure we can see—ports, airports, and railroads—but becomes a black void for developers using Meta AI. It's the perfect visualization of how these engineers are busy building the future while completely invisible to the world. They're the dark matter of tech—you can't see them, but their gravitational pull affects everything. The fourth panel is basically a monument to all those countless hours spent debugging prompts and fine-tuning models while everyone else is blissfully unaware of their existence. Silent heroes with empty coffee cups and full git repositories.

Imagine inheriting a dumpster fire of AI-generated spaghetti code, and someone thinks you can fix everything from authentication to CI/CD with the budget that wouldn't even cover your therapy sessions after seeing the codebase. That $2,500 budget is the real joke here. That's not even enough for the coffee you'll need to stay awake while deciphering what the hell the AI was thinking when it generated this monstrosity. This is the modern tech equivalent of "I need you to rebuild the Titanic using only duct tape and a tight deadline. Oh, and can you make it unsinkable this time?"

Running a local LLM on a Raspberry Pi with 1GB RAM is like trying to run a marathon while carrying three refrigerators. You're technically the "host" orchestrating multiple AI "experts," but in reality, you're just watching your poor little Pi freeze frame by frame like a PowerPoint presentation from hell. The title brilliantly riffs on "I am become Death, destroyer of worlds" - except here you've become Host, director of mice (multiple mouse cursors representing the frozen "experts"). Your Raspberry Pi isn't processing AI agents; it's having an existential crisis in slow motion. Each [PAUSED] label is basically the Pi screaming "I CAN'T BREATHE" while you pretend everything's fine. Pro tip: Running modern LLMs without a GPU is like trying to mine Bitcoin with a calculator. Sure, it'll work... eventually... maybe... in 2047.

Someone's been riding the AI hype train a little too hard and just discovered that Sonnet (Claude's model) got banned in their region. Meanwhile Fable—probably some obscure open-source alternative they've never heard of—is suddenly their new best friend. Nothing says "cutting-edge AI development" quite like geopolitical restrictions forcing you to downgrade your entire workflow. At least Fable won't ghost you mid-conversation when the API decides your country isn't on the approved list anymore.

Sure, AI can build your app in 5 minutes instead of 5 hours, but have fun debugging that spaghetti junction of code! The left shows a nice, simple railway track—straightforward code built without AI. Clean, predictable, gets you from A to B. The right? That's your AI-generated "masterpiece"—a chaotic mess of intersecting tracks going in seventeen different directions at once. Your app might be built faster, but good luck figuring out which track leads where when everything crashes. It's like asking a hyperactive octopus to organize your closet. Speed isn't everything when you're spending the next month untangling what your AI "helper" thought was a brilliant solution!

Two AI models agreeing on the most dystopian business strategy possible. Create the problem, sell the solution. It's like writing buggy code and then charging for support contracts, except way more sinister. These LLMs are out here speedrunning capitalism and honestly? They're learning from the best—software companies have been pulling this move for decades. "Oh, your system crashed? That'll be $500/month for our premium monitoring package." At least when we do it, we call it 'technical debt' instead of 'biological warfare.'