At Least No More LeetCode I Guess

Corporate strategy in 2024: Watch AI zoom by, panic, grab it mid-flight, then pretend you were steering it all along. CEOs worldwide mastering the art of the strategic pivot from "what's generative AI?" to "we've always been an AI-first company." Nothing says executive leadership like retrofitting the arrow of progress into your PowerPoint after it's already been fired.

The resume inflation has begun! We've all seen that one colleague who suddenly became an "AI expert" after using ChatGPT twice. Five years from now, we'll be sitting in interviews listening to people explain how they've been "pioneering machine learning solutions" since 2023, when in reality they just figured out how to prompt an LLM without it hallucinating too badly. The true AI skill of our generation? Convincing robots not to write poems when you just want them to fix your regex.

Scientists: "We've created an AI that's consistently wrong." Tech CEOs: "Ship it." And that's how we ended up with chatbots that confidently explain why you should add milk before cereal, virtual assistants that send your grocery list to your ex, and AI that swears your code will work perfectly despite 47 syntax errors. The modern tech industry in a nutshell: if it's broken but profitable, it's a feature not a bug.

Oh. My. GOD. The absolute TRAGEDY of AI development in four painful acts! 😭 It starts with such INNOCENT OPTIMISM - breaking down the plan into features, like some kind of organizational GENIUS! Then the descent begins... features into tasks with that suspicious "fiask 3" typo lurking like a red flag from the debugging underworld. By panel three, we've entered full CHAOS territory with a file structure that would make Marie Kondo WEEP - file1.py somehow spawning ANOTHER file1.py?! The circular dependency from HELL! And the grand finale? Throwing your hands up and hiring an ACTUAL developer who knows what they're doing! Because nothing says "I've made terrible life choices" like watching your AI project implode spectacularly before it even reaches production!

Looks like GitHub Copilot just went full 1950s mode! Two functions side by side: one for men that returns the salary unchanged, and another for women that returns 90% of the input. Copilot didn't just write code—it accidentally coded up the gender pay gap! This is what happens when your AI learns from historical data without an ethics class. The machine isn't biased... it just perfectly mirrors our messed-up world. Maybe the next update should include a "modern society" plugin.

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?