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

Left guy's in denial about AI coding tools while right guy's already seen the git blame logs from the future. The eternal cycle continues: new tech emerges, developers panic, then end up maintaining the mess it creates. The only constant in programming is cleaning up after the latest "revolutionary" tool. Just wait until we're all writing prompts to fix the prompts that fixed the code that broke the system.

Just sitting back with my popcorn watching the AI hype train derail in slow motion. All these devs who pivoted their entire careers to "prompt engineering" are about to discover what us old-timers already know - there's no shortcut to understanding the fundamentals. When the hallucinations pile up and the VC money dries out, guess who'll be debugging the mess? The same people who've been writing actual code for decades. Munching carrots while watching careers burn is my new hobby.

Ah, the beautiful delusion of being in the elite 30% that AI can't replace. The awkward side-eye monkey meme perfectly captures that moment of existential dread when you realize your code is actually 17 nested if-statements and three Stack Overflow copies. Let's be honest—we all immediately did that mental calculation: "Surely I'm in the top tier of programmers!" Meanwhile, our Git commit history is just variations of "fixed bug" and "please work this time." Fun fact: The real top 30% are too busy writing documentation to even see this meme.

Corporate: "Can you spot the difference between a gold bar and a high-end GPU?" Developers in 2024: "They're the same picture." With GPUs costing as much as precious metals these days, training that fancy ML model might require a second mortgage. Remember when we just worried about RAM prices? Those were simpler times.

If only AI was this simple. Two lines of code and boom—sentient machines ready to take over the world. Meanwhile, my actual ML models need 500GB of training data just to recognize a hotdog. That dusty MacBook screen really completes the "exhausted data scientist" aesthetic. Nothing says "I understand neural networks" like pretending you can just call machine.learn() and go grab coffee.

The evolution of professional ethics in the digital age is... something else. Designers freak out when AI scrapes their artwork: "NO! THIS IS ILLEGAL!" Meanwhile, programmers hear that ChatGPT pillaged their GitHub repos and their first question is "Did it actually compile though?" Nothing captures the programmer mindset better than skipping past the copyright violation and jumping straight to "but does it work?" Because let's be honest - if ChatGPT can make sense of your spaghetti code, you might as well hire it.