These People Are Not Real

When you ask a shopping assistant for coding help and it actually delivers! Rufus here is like that one Stack Overflow answer that doesn't start with "Why would you even want to do that?" The absolute madlad is out here dropping React tutorials in the Super Glue section. Sure, it warned us it "may not always get things right," but then proceeds to nail a perfect React component tutorial complete with code snippets. Meanwhile, my team's senior devs ghost me for three days when I ask how to center a div.

The railroad tracks of progress have certainly gotten more complex! On the left, we have the traditional straight-line coding path—simple, predictable, and takes you 5 hours to reach a single destination. On the right, the AI-assisted coding multiverse with infinite possibilities, chaotic intersections, and enough track switches to give a train conductor an existential crisis. Sure, you'll build your app in 5 minutes with AI, but then spend the next 4 hours and 55 minutes figuring out which of the 47 different generated solutions actually works without summoning digital Cthulhu to your codebase. The real question: are we moving faster or just creating more impressive train wrecks?

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.

The classic learning curve of doom! Newbie programmers staring up at the programming staircase of despair where even the first step (Hello World) looks like Mount Everest. Meanwhile, they're already Googling "how to build Skynet with no programming experience" and wondering why their neural networks aren't sentient yet. The irony is that most tutorials literally start with printing "Hello World" to the console, but somehow folks want to skip straight to building the next ChatGPT without understanding variables. It's like trying to compose a symphony when you can't even play "Hot Cross Buns" on the recorder.

The noble aspirations of AI research versus the grim reality of where computational power actually goes. On the left, we have AI detecting breast cancer 5 years before it develops—potentially saving countless lives. On the right, some poor GPU is being absolutely tortured to render a cow at 15 FPS in what appears to be the world's jankiest video game, complete with a rage-filled gamer screaming about "fake frames." It's the perfect encapsulation of humanity's priorities: we build supercomputers that could solve humanity's greatest challenges, then immediately use them to make slightly better cow animations. The bottom corner showing all those graphics settings (RTX, DLSS, etc.) is just the chef's kiss of overkill for whatever that monstrosity is supposed to be.

Oh snap! ChatGPT out here teaching C programming like it's handing out candy! 🍬 The joke is that when someone says "ChatGPT is useful for beginners," ChatGPT responds with some hardcore C code using malloc() to allocate memory for a string. That's like saying "swimming is easy" and then throwing someone into the deep end with sharks! Memory management in C is basically the final boss of programming that makes grown developers cry. Nothing says "beginner-friendly" like manual memory allocation that can crash your entire system if you forget to free it later! 💀