Who Needs Algorithms If You Have AI

Billion-dollar GPU vs. one efficient Japanese coder? Not even a contest. While we're all chasing fancy hardware to run our bloated, framework-heavy code, Japanese game devs are out here making masterpieces run on calculators. Monster Hunter and Elden Ring weren't built with 16 layers of abstraction and 800MB of node_modules. The rest of us are like "I need a quantum computer to center this div" while they're squeezing every last cycle from hardware like it's still the PS2 era. Efficiency is apparently a lost art everywhere except Japan.

The new tech bro just dropped: the Power Proompter. This magnificent creature spends $200/month on ChatGPT subscriptions while simultaneously dropping $2000 on an RTX4090 to run local models—because irony is dead. They're convinced that "prompt engineering" is the new computer science degree and frantically warn everyone that traditional programmers will be extinct faster than dinosaurs facing that asteroid. The best part? They guard their precious prompts like they're the nuclear launch codes while slapping "Proomt Engineer" on their LinkedIn because spelling is apparently optional in this brave new AI world.

ChatGPT out here killing the comedy industry by explaining its own jokes. The irony of asking for a joke that's "hard to get at first" and then immediately getting a complete breakdown of the punchline is just *chef's kiss*. Stand-up comedians spend years perfecting delivery and timing, meanwhile AI is like "here's the joke AND a detailed explanation of why you should find it funny." Next up: ChatGPT explains why explaining jokes makes them less funny.

Ah, the infinite loop of modern laziness! Instead of writing a prompt for an AI, this developer decides to make an AI write prompts for another AI... only to realize they've accidentally created recursion. It's like telling your intern to hire another intern to do their work. The real kicker? They think this accidental stack overflow is "peak software engineering." This is what happens when you're too clever for your own good but not clever enough to recognize you've just reinvented the wheel with extra steps. Somewhere, a computer science professor is weeping.

Machine learning algorithms in a nutshell: trained to identify "daddy" but wildly misinterpreting based on, uh, certain physical attributes. The algorithm sees round objects and makes confident yet hilariously wrong predictions. Just like that neural network you spent weeks training only to have it confidently label your boss's bald head as "an egg in its natural habitat" during the company demo. Context matters, folks! But try explaining that to a model that's just looking for patterns without understanding what those patterns actually mean.

Ah yes, the mythical "real programmer" – that elusive creature who apparently codes everything from scratch using nothing but pure brain power and cosmic vibes. Meanwhile, in reality, the rest of us mortals are over here frantically Googling syntax, copying from Stack Overflow, and begging AI to fix our broken code at 3 AM. The gatekeeping is strong with this one! Next thing you'll tell me "real programmers" only code on punchcards while standing barefoot in the snow, uphill both ways.