Why You Don't Use ChatGPT?

Oh my gosh, the infinite loop of code theft! 😂 First StackOverflow gives ChatGPT all its knowledge, then ChatGPT claims it made it. Then a programmer steals from ChatGPT and proudly declares "I made this!" Only for the code to eventually make its way back to StackOverflow! It's the perfect representation of the modern dev cycle: copy from StackOverflow → paste into ChatGPT → ask for improvements → copy to your project → claim full credit in your performance review! The circle of code life!

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.

Ah yes, the anatomically accurate ChatGPT brain - a couple of smooth pink blobs with absolutely zero wrinkles. Just hover over those non-existent brain areas for more non-existent information. Turns out all those billions of parameters are stored in what appears to be a 3D render someone made during their first Blender tutorial. Neural networks? More like neural balloons.

Ah yes, the classic "become a data scientist in 50 days" roadmap. Master Python in 5 days, R in another 5, and calculus in a weekend. By day 41, you're predicting which passengers survive the Titanic—a task that's apparently more complex than learning an entire programming language. The most realistic part? The Titanic project sinking just like your expectations when you realize actual data science requires years of study, not a 7-week crash course.

Ah yes, the classic executive who just discovered the term "data science" and now thinks anyone who can run a basic SQL query is suddenly a data scientist. Nothing says "I understand tech" quite like watching someone execute SELECT * FROM table and immediately asking if they should update their LinkedIn to "Senior ML Engineer." Meanwhile, actual data scientists with PhDs in statistics are quietly crying into their Jupyter notebooks.

The modern programmer's productivity killer isn't compiling code anymore—it's hitting the ChatGPT rate limit. Nothing quite justifies a coffee break like that "Too many requests" message. The best part? Even your manager can't argue with AI infrastructure limitations. "Sorry boss, I'm not slacking off... I'm just waiting for OpenAI's servers to let me be productive again." The perfect crime.