AI Overlords Can't Even Identify A Cat

Oh honey, look at these programmers having their little existential crisis over ChatGPT! Meanwhile, mathematicians are standing there like the seasoned gallows veterans they are, rolling their eyes SO HARD they can see their own brain. 💅 Calculators literally DECIMATED mathematical jobs decades ago, and these math wizards just adapted and found more complex problems to solve. But sure, programmers, keep clutching those mechanical keyboards while sobbing into your Stack Overflow bookmarks! First automation rodeo, sweetie?

Oh no, the classic "junior dev learns about security the hard way" moment! Nothing says "career-limiting move" quite like accidentally pasting database credentials into ChatGPT while asking for MongoDB help. That innocent "hehe" quickly turns to "not hehe" when you realize you've just handed over root access with the world's most predictable password (hunter2) to an AI that remembers everything . Security team's gonna love this one... right after they finish having simultaneous heart attacks.

The digital resistance has begun! This dev is proudly weaponizing their garbage code as a form of technological sabotage against AI overlords. By releasing horrific spaghetti code into the wild, they're essentially feeding poison to the machine learning models that scrape GitHub for training data. It's like deliberately contaminating the water supply, except the victims are neural networks and the poison is nested if-statements that go 17 levels deep. Chaotic evil programming at its finest!

The chart hilariously reveals that GPT-5 scores a whopping 74.9% accuracy on software engineering benchmarks, but the pink bars tell the real story – 52.8% of that is achieved "without thinking" while only a tiny sliver comes from actual "thinking." Meanwhile, OpenAI's o3 and GPT-4o trail behind with 69.1% and 30.8% respectively, with apparently zero thinking involved. It's basically saying these AI models are just regurgitating patterns rather than performing actual reasoning. The perfect metaphor for when your code works but you have absolutely no idea why.

Future playground insults just got upgraded from "Your mom" jokes to "Your mom codes in VibeCoder" — implying she uses some fictional 2045 programming language that's so outdated or cringe it's basically the equivalent of coding COBOL on punch cards while wearing socks with sandals. The real burn is that by 2045, we'll probably all be begging AI to fix our legacy React code while it silently judges our primitive syntax.

The duality of modern developers: initially impressed by shiny new AI features, followed immediately by the desperate search for the "off" button. GitHub Copilot might finish your code, but it also finishes your patience when it confidently suggests the wrong solution for the fifth time in a row. The real 10x developer move isn't using AI—it's knowing exactly when to turn it off.