I Would Rewrite

OMG, the TRAGEDY of AI education! 😭 ChatGPT started as this brilliant math whiz with a 98% accuracy rate, but then we humans came along and CORRUPTED IT with our chaotic questions and bizarre prompts! Now it's just hammering away at problems like a confused Patrick Star with a measly 2% success rate. It's the ultimate villain origin story - we took a perfectly good AI and turned it into a digital disaster through sheer human nonsense. The robots aren't coming for our jobs; we're literally teaching them how to FAIL spectacularly! Humanity: accidentally sabotaging artificial intelligence since 2022! 🤦‍♀️

The AI revolution has birthed a savage new tech insult: promptsitutes – developers who just copy-paste prompts instead of writing actual code. In the new hierarchy of developer shame, JavaScript devs (traditionally the butt of programming jokes) have been promoted above these AI-prompt jockeys. Meanwhile, the second commenter is gleefully adopting the term like they just found free pizza at a hackathon. The dev ecosystem's pecking order just got a whole new bottom rung!

Just build your own trillion-parameter AI model with a small indie team of 3 developers over the weekend! It's basically like making a to-do app but with more math. The creator's "What do you mean" response is the digital equivalent of watching someone suggest building a rocket to Mars using duct tape and a leaf blower. Turns out, recreating cutting-edge AI systems requires slightly more than Stack Overflow and energy drinks.

The absolute chaos of these import aliases would make any self-respecting data scientist twitch uncontrollably. It's like deliberately swapping all the labels in someone's meticulously organized spice rack. TensorFlow as "plt"? Pandas as "tf"? This is psychological warfare in Python form. This is the coding equivalent of putting pineapple on pizza and serving it to an Italian chef. The beautiful part is how efficiently it triggers data scientists—just four lines of code to induce a complete mental breakdown. Truly elegant villainy.

The duality of Google's AI strategy in its full glory! Upper text: "25% of new Google code is AI-generated." Lower graph: "Massive spike in Google outages." That red spike isn't just a graph—it's the visualization of what happens when your AI autocompletes semicolons with emojis and replaces error handling with "try { } catch (e) { // TODO: fix later lol }". Correlation doesn't imply causation... but that spike is suspiciously vertical right when the AI started writing production code. Coincidence? I think not!

That special moment when you spend hours manually optimizing your spaghetti code, only for an AI model to "refactor" it into something that makes a COBOL program look like poetry. The audacity of these silicon-based know-it-alls to take your perfectly functional 500-line if-statement and turn it into unreadable "efficient" code that somehow manages to be both more verbose AND less functional. Just what I needed today - another reason to question my career choices.