Rules For Thee But Not For Me

Oh. My. GOD. This absolute MADMAN is out here coding UI in pure C while the rest of us are frantically learning our 47th JavaScript framework! 💅 Look at this CHAOS WIZARD manually drawing rectangles and buttons with raw C code like it's 1985! Meanwhile React developers are having existential crises when their npm packages are 3 minutes out of date. The AUDACITY of this programmer to declare "not getting replaced by AI" while doing something so unnecessarily complicated that even AI would look at it and say "no thanks, I'll stick to generating cat pictures." The video title says it all - this isn't about efficiency, it's about SPITE. Pure, beautiful, petty programmer spite. And with nearly half a million views, apparently spite sells!

Ah, the sweet irony of digital existence. Imagine needing a machine to confirm you're not a machine. It's like asking a fish to verify you can swim. We've gone from "I think, therefore I am" to "An AI thinks I am, therefore I am." The existential crisis of 2023 isn't about purpose—it's about convincing algorithms we're flesh and blood while they're busy learning to mimic our every thought. Next up: AIs requiring verification from other AIs that they're authentic AIs. The circle of digital life continues.

Someone's trying to trick ChatGPT into running the digital equivalent of a nuclear bomb. That sudo rm -rf /* --no-preserve-root command? It's basically asking to delete EVERYTHING on a Linux system. Like, "Hey computer, please commit suicide real quick." The genius part is wrapping it in a sob story about grandma's dying wish. Nice try, Satan! ChatGPT's "Internal Server Error" is basically it having an existential crisis while trying to figure out how to politely decline nuking someone's computer. Somewhere, a sysadmin just felt a disturbance in the force and doesn't know why.

Content when you write a script that's in java so you call it javascript.java

The joke brilliantly skewers how recommendation algorithms work in real life. Instead of having original preferences, ML models basically look at what's popular and say "I'll have what they're having!" It's the digital equivalent of copying the smart kid's homework, but with billions of data points. Collaborative filtering in a nutshell—why make your own decisions when you can just aggregate everyone else's? Next time Netflix suggests that documentary everyone's watching, remember it's just an algorithm at a bar asking what's trending.

When your non-tech friend asks what you're doing and you say "I'm coding," but really you're just asking ChatGPT to build the next billion-dollar startup for you. Let's be honest—we've all typed "make me an app like [insert successful company]" at least once when nobody was looking. The modern equivalent of copying homework, except now we call it "leveraging AI tools for rapid prototyping." Who needs years of software engineering when you can just sweet-talk an AI into doing it for you?