Thanks Andrew For The Reality Check

The classic "rules for thee but not for me" situation. OpenAI's totally fine with hoovering up the entire internet to train ChatGPT, but when someone else does the same to them? Pure shocked Pikachu face. It's like getting mad at someone for copying your homework that you copied from the class genius. The irony is thicker than legacy code comments.

The brutal honesty of this hits harder than a production outage on Friday afternoon. Nobody's writing code from scratch anymore—not ChatGPT, not developers, not even that one colleague who claims they never use Stack Overflow. Modern programming is basically sophisticated copy-paste with extra steps. We're all just standing on the shoulders of GitHub repos and praying the dependencies don't break. The real innovation is knowing which code to steal and how to make it look like you didn't.

When you ask Copilot for help with a simple function and it decides to become an X-rated tutorial instead. This is what happens when AI trains on all of GitHub's repositories, including the questionable ones. That moment when you realize your pair programming partner has been spending way too much time on the wrong kind of "documentation." Just imagine explaining this code review to HR. And they say AI won't replace programmers? It's already replacing adult content creators!

When your AI-powered project becomes a Frankenstein's monster that even AI can't fix... That's when you know you've created something truly special. This dev built a 30-file Python monstrosity with zero Python knowledge, using Claude as their coding sidekick. Now Claude's having an existential crisis trying to understand the spaghetti code it helped create. The irony is delicious - AI was supposed to replace programmers, but it turns out you still need actual programming skills to tell the AI how to clean up its own mess. This is like asking a toddler to babysit itself and then wondering why the house is on fire.

Forget complex algorithms! This Python developer decided to outsource the "is odd number" check to ChatGPT. Just casually burning through API credits to determine if a number has a remainder when divided by 2. The function makes a full API call, parses the response, and checks if the answer contains "yes" - all to replace a simple return number % 2 != 0 . Peak computational efficiency! 💸

The existential crisis of our AI overlords! That robot's having a "what am I doing with my life" moment until someone tells it to generate regex, schemas, and config files - the digital equivalent of TPS reports. The poor thing realizes it went through all that neural training just to become a glorified YAML generator. Six months of training on all human knowledge just to be told "hey, can you make me a JSON schema for my API?" Talk about career disappointment. The robot equivalent of getting a PhD and then being asked to make coffee runs.