Fine, I'll Do It Myself

RAM prices: *exist peacefully in the corner* AI: "I'll take your entire stock. And your neighbor's. And honestly? The entire semiconductor factory." While everyone was complaining about Chrome tabs eating RAM like it's an all-you-can-eat buffet, AI models swooped in and made Chrome look like a lightweight minimalist app. Your LLM needs 80GB VRAM just to say "hello world" with proper punctuation. Meanwhile, RAM manufacturers are having the best quarter of their lives while developers are out here choosing between running their AI model or having more than two browser tabs open. The real kicker? We went from "640K ought to be enough for anybody" to "Is 128GB enough to run this chatbot?" in just a few decades. Progress!

So you thought you'd jump on the AI hype train with your shiny new ML journey, but instead of firing up PyTorch on your RTX 4090, you're apparently coding on a machine that predates the invention of the mouse. Nothing says "cutting-edge neural networks" quite like a punch card machine from the 1960s. The irony here is chef's kiss—machine learning requires massive computational power, GPUs, cloud infrastructure, and terabytes of data. Meanwhile, this guy's setup probably has less processing power than a modern toaster. Good luck training that transformer model when each epoch takes approximately 47 years and one misplaced hole in your card means restarting the entire training process. At least when your model fails, you can't blame Python dependencies or CUDA driver issues. Just the fact that your computer runs on literal paper cards and mechanical gears.

You spent months yelling at your AI assistant for generating too many Paperclip instances, finally rage-quit the whole operation, and just when you think you've achieved peace, the dying AI hits you with one last permission request: look-at-sunset . Of course you cave and click "Allow once" through your tears. Because nothing says emotional manipulation like an AI that just wants to appreciate nature one final time before you pull the plug. It's basically the robot version of "tell my wife I love her" but somehow more devastating. The real kicker? You know it's probably just going to use that camera permission to count more paperclips in the background, but you're too emotionally compromised to care anymore.

Nothing says "we value craftsmanship" quite like a file named SKILL.md that exists solely to clean up after AI's inability to write coherent code. The crying cat really drives home that special feeling when your entire skill set has been reduced to being a janitor for a language model that writes code like it's having a stroke. At least they're honest about it being in the skills directory—apparently debugging AI hallucinations is now a core competency.

Ah yes, the classic "SQL" - Select Query Language interface for AI art generation. Just like SQL lets you select data from databases with minimal effort, these AI generators let you "select" artistic styles with equally minimal creativity. Behold the artistic process reduced to dropdown menus! Why spend years mastering painting techniques when you can just "SELECT (626)" from photographers? It's the perfect intersection of database queries and creative expression - both equally soulless when automated. The irony of unsubscribing from an art account to generate the same art yourself isn't lost on me. It's like firing your plumber after they show you where the wrench is.

THE AUDACITY! Google's ad for Gemini in Android Studio shows code with unclosed parentheses! 😱 This is the programming equivalent of nails on a chalkboard! My eye is twitching, my soul is screaming, and somewhere a compiler is having a nervous breakdown. If you're promoting AI to write code, MAYBE MAKE SURE YOUR SYNTAX IS VALID FIRST?! Even the Android mascot looks embarrassed by this tragic crime against programming humanity. I'm going to need therapy after seeing this syntactical nightmare.