If AI Learns From My Code, Doesn't It Mean My Job Is Safe?

Ah yes, the revolutionary AI integration strategy: squirting a tiny bit of machine learning onto a bar of legacy code and calling it "innovation." That soap dispenser is working exactly as intended – technically dispensing something, but completely missing the point. Just like how adding a chatbot that can only say "Have you tried turning it off and on again?" somehow justifies a 20% price increase. Investors impressed, users unimpressed, developers wondering if they should update their resume.

The digital resistance has begun! This dev is proudly weaponizing their garbage code as a form of technological sabotage against AI overlords. By releasing horrific spaghetti code into the wild, they're essentially feeding poison to the machine learning models that scrape GitHub for training data. It's like deliberately contaminating the water supply, except the victims are neural networks and the poison is nested if-statements that go 17 levels deep. Chaotic evil programming at its finest!

The second you mention you're learning to code, every relative suddenly transforms into Usain Bolt chasing you down with AI course recommendations. Nothing says "supportive family" like implying your freshly-learned print("Hello World") is already obsolete before you've even figured out how loops work. The programming journey: 10% learning syntax, 90% sprinting away from people telling you that what you're learning is already outdated. Pro tip: develop selective hearing - it's the most valuable skill in your coding toolkit.

GASP! The AUDACITY of developers thinking they can hide behind AI! 💅 When you run git blame to find out which MONSTER broke the code, it reveals the actual HUMAN criminal - not GitHub Copilot! Your AI assistant isn't taking the fall for your disaster of a commit, sweetie! That's right, your name is PERMANENTLY etched in the git history hall of shame! There's no escaping accountability in this dystopian developer hellscape!

THE ABSOLUTE AUDACITY of hardware questions in 2023! 💅 Is 12GB VRAM a lot? Well DARLING, for your precious little Fortnite sessions? It's like bringing a nuclear warhead to a water balloon fight. But for training your fancy Large Language Model? That's like trying to fill the Grand Canyon with a sippy cup! PATHETIC! The way AI developers sob uncontrollably when someone suggests training a decent model on consumer hardware is just *chef's kiss* DRAMATIC. Meanwhile, gamers are over there with their RGB everything, treating 12GB like it's barely adequate for their precious ray-traced puddles.

Ah yes, the pinnacle of modern debugging: when your code fails, just ask ChatGPT to fix it. Who needs Stack Overflow anymore when you can just wrap your entire codebase in a try-catch and let AI handle the rest? Next step: AI that writes the bugs for you so the other AI can fix them. The circle of life in silicon.