Can't Be That Hard

Look at these peasants SPRINTING to ChatGPT while the door to actual knowledge stands wide open and COMPLETELY ABANDONED! Why learn binary trees when an AI can vomit code for you?! The absolute BETRAYAL of computer science fundamentals! Meanwhile, universities are still teaching sorting algorithms like it's 1995 and not like we're living in the AI APOCALYPSE. The data structures door might as well have cobwebs on it at this point!

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.

Content The Self Taught "Serious" Programmer Starter Kit "Just learn assemblv" What the hell is a proof? "bro, you don't need math" Has zero professional experience Lacks basic computer architecture fundamentals despite praising its importance Very active in r/_programming Over emphasizes the importance of code editors and sneers at IDEs made with mematie

When you accidentally push to production instead of staging... 😬 Someone's first day on the job just became their last! Nothing says "I'm fired" quite like leaking government AI plans on GitHub because you confused your repositories. Pro tip: Maybe don't store national secrets with the same tool you use for your personal "learning-to-code" projects. That resume is about to have an interesting gap year.

When your debugging session gets interrupted by a rubber duck that actually works. The developer starts explaining their CSS padding issue to ChatGPT, notices something's wrong, and suddenly the rubber duck falls out of nowhere—forcing them into accidental rubber duck debugging. The irony? The duck solved the problem before ChatGPT could even respond. Proof that sometimes the best debugging tool is just talking to an inanimate object that judges you silently from your desk drawer.

The existential crisis of our AI overlords! That robot's having a "what am I doing with my life" moment until someone tells it to generate regex, schemas, and config files - the digital equivalent of TPS reports. The poor thing realizes it went through all that neural training just to become a glorified YAML generator. Six months of training on all human knowledge just to be told "hey, can you make me a JSON schema for my API?" Talk about career disappointment. The robot equivalent of getting a PhD and then being asked to make coffee runs.