Damn Programmers They Ruined Calculators

Remember when we used to write our own algorithms? Now we're just watching ChatGPT and Deepseek haul our careers up the mountain while we take a nap in the sleeping bag of obsolescence. And the worst part? We have the audacity to brag about our "productivity" like we actually did something impressive. "Look how far I climbed" – yeah buddy, you typed a prompt and took a coffee break while the AI did all the heavy lifting. The only muscle you've exercised is your index finger hitting Ctrl+V.

The stark reality of today's coding world in one perfect meme. Senior dev finally had enough of watching the junior generate 200 lines of spaghetti code with GitHub Copilot just to print "Hello World". The painful truth is we're raising a generation of devs who can't fizzbuzz their way out of a paper bag without an AI whispering sweet solutions in their ear. And yet... aren't we all just one Stack Overflow outage away from revealing our true incompetence?

The classic programmer's dilemma! When your university teacher announces they'll teach Python for OpenCV because "most students don't know it," but you're standing there with 8 years of experience facing two equally painful paths: either pretend you're learning everything from scratch (boring castle on the left) or flex your skills by showing off some absolutely demonic code that'll make your professor question their career choices (haunted lightning castle on the right). The fork in the road represents that moment of decision every experienced dev faces in intro classes - do I play it safe or do I unleash chaos? Spoiler alert: we always choose chaos.

The eternal academic turf war continues! Physicists spend decades unraveling the mysteries of the universe, publishing papers nobody reads, and surviving on ramen... only to watch some CS grad who taught a computer to play tic-tac-toe walk away with the Nobel. That sideways glance of existential despair is every physicist who just realized they picked the wrong major. Meanwhile, CS folks are too busy counting their tech stock options to even notice they won.

ChatGPT confidently declaring there are 9 triangles when most humans can only spot 4 is the perfect metaphor for AI development. It's either seeing mathematical patterns beyond our comprehension or just making stuff up with unwavering confidence. The real AGI achievement isn't counting triangles—it's the audacity to be wrong with such conviction that you start questioning your own sanity. Next up: AI explaining why your code works when it absolutely shouldn't.

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.