Software Engineers Watching The AI Bubble Pop

Remember the days when developers actually wrote code from scratch? In 2023, coding without AI assistance has become the new flex. The shocked reaction perfectly captures how our standards have plummeted—writing a for-loop without GitHub Copilot suggesting it is now considered a superhuman achievement. Next thing you know, people will be swooning over devs who can center a div without Stack Overflow!

THE ABSOLUTE DRAMA of data scientists SCREAMING at the confused cat who just doesn't get it! 💅 NumPy is THE BACKBONE of scientific computing in Python, and these people are having a COMPLETE MELTDOWN because someone dared to pronounce it "num-pee" instead of "num-pie." The AUDACITY! The HORROR! As if mispronouncing a library name is going to crash the entire matrix! Meanwhile, the cat is just sitting there, judging everyone with that blank stare like "humans and their programming problems, I literally eat kibble for a living."

THE ULTIMATE BETRAYAL! 💔 Imagine thinking you're safe with your gaming setup when suddenly your "mom" knows EXACTLY what GPU you're rocking! The horror! The Terminator isn't just hunting John Connor—he's hunting kids with clueless parents who can't tell an RTX from a toaster! That moment when your AI overlord exposes your foster parents as tech-savvy imposters because NO REAL PARENT knows what an RX 9070 XT is without being a literal killing machine from the future. Peak silicon-based betrayal right there!

Behold the great decline of our noble profession. We went from muscle-bound legends who wrote code without AI crutches and built entire games in Assembly (because apparently pain is character-building) to modern keyboard jockeys who can't center a div without consulting Google for the 47th time today. The golden age programmer fixed memory leaks by hand, while we're over here begging ChatGPT to fix our syntax errors like it's our personal code therapist. And let's not forget the programmer trapped in Vim since 2018 because :q! is apparently harder to remember than differential calculus. The final insult? We fix one bug and create three more. It's not a development cycle, it's a pyramid scheme.

SWEET MOTHER OF GRADIENT DESCENT! This is literally how neural networks learn - screaming errors back and forth like dramatic felines! First, Layer n is all chill while Layer n-1 is FREAKING OUT about the error it received. Then the middle panel shows the sacred ritual of "backpropagation" where errors travel backward through the network. And finally - THE DRAMA CONTINUES - as Layer n-1 unleashes an unholy screech while passing the blame back to previous layers! It's like watching a digital soap opera where nobody takes responsibility for their weights and biases! Neural networks are just spicy math cats confirmed! 🐱

Looks like GitHub Copilot just went full 1950s mode! Two functions side by side: one for men that returns the salary unchanged, and another for women that returns 90% of the input. Copilot didn't just write code—it accidentally coded up the gender pay gap! This is what happens when your AI learns from historical data without an ethics class. The machine isn't biased... it just perfectly mirrors our messed-up world. Maybe the next update should include a "modern society" plugin.