They Are Smarter Than Us

The suspicion is killing you. That landing page with its sleek purple gradients and modern aesthetic... there's no way they built that from scratch. You just know they used Claude AI to generate it. The telltale purple branding, the too-perfect copy, the suspiciously on-trend design. But when your boss asks if competitors are using AI, you've got nothing but gut feelings and paranoia. No git commits to analyze. No source code to inspect. Just you, alone with your conspiracy theories about AI-generated marketing.

The classic "Asian parent expectations" trope gets a hilarious AI twist! Dad barging in with "YOU AGI YET?" while his son defends himself with "NO DAD, I'M AN LLM" only to be dismissed with "TALK TO ME WHEN YOU AGI." For the uninitiated: LLMs (Large Language Models) like ChatGPT are impressive but limited, while AGI (Artificial General Intelligence) is the holy grail that can think/reason like humans across all domains. It's like comparing a calculator to an actual mathematician. The crushing disappointment in Dad's eyes says it all... "My neighbor's AI is already solving quantum physics and you're still just autocompleting text? Shameful!"

When you ask Copilot for help with a simple function and it decides to become an X-rated tutorial instead. This is what happens when AI trains on all of GitHub's repositories, including the questionable ones. That moment when you realize your pair programming partner has been spending way too much time on the wrong kind of "documentation." Just imagine explaining this code review to HR. And they say AI won't replace programmers? It's already replacing adult content creators!

Studying machine learning while submerged in a swimming pool isn't what the recruiters meant by "deep learning experience." Six months into this AI project and I'm still just trying to keep my head above water. The documentation might as well be written in Atlantean.

Remember when we spent hours implementing binary trees and sorting algorithms from scratch? Now there's a line of developers sprinting toward ChatGPT while the "Data Structures & Algorithms" door collects dust. Why bother with Big O notation when you can just prompt engineer your way to a solution? The irony is we still need those fundamentals to understand if ChatGPT's code will crash and burn in production. But hey, who has time for that when deadlines are yesterday?

The corporate circle of life in the AI era. Both managers and developers secretly fantasizing about using generative AI to eliminate each other from the equation. Meanwhile, AI is quietly taking notes on how to get rid of both. The digital equivalent of two people plotting each other's demise while standing on the same trapdoor.