Sorry Gamers, AI Called Dibs

Content VIBECODERS A PROGRAMMER WHO KNOWS HOW TO CODE AND 7HDEBUGAND UNDERSTANDS CODE BUT ALSO USES VIBECODING TO GENERATE THE MVP ONLY

Forget fancy GPUs and neural networks— real deep learning is just studying underwater. The person in the image has taken "deep" learning to its literal extreme, sitting at a desk completely submerged in a swimming pool. This is basically what it feels like trying to understand transformer architecture documentation after your third cup of coffee. Bonus points for the waterproof textbook that probably costs more than your monthly AWS bill.

Nothing says "we love our users" like dropping a free AI feature that immediately sets fire to your data center. Those poor GPUs, running at 110°C, fans screaming like they're auditioning for a metal band. Meanwhile, DevOps is frantically calculating the electricity bill while the marketing team high-fives over user engagement metrics. The best part? The feature probably could've been implemented with a simple if-statement, but hey—gotta justify those VC millions somehow!

OH. MY. GOD. The "super intelligent" AI can't even grasp the most BASIC rule of chess?! 🙄 White moves first, sweetie! The fact that ChatGPT confidently makes the first move while playing black and then has the AUDACITY to suggest the same move to the human player is just... *chef's kiss* peak AI incompetence. This is why we're still light-years away from true AGI, people! Can't even handle a simple board game without a total meltdown of logic. And yet the tech bros keep screaming "THE SINGULARITY IS COMING!!!" Sure, Jan. Maybe teach your precious AI to play chess first? 💅

That's not machine learning. That's just a terminal spewing errors while someone went to lunch. Classic misdirection to keep management from asking why your project is six weeks behind. The screen full of red text means either your code is spectacularly broken or you're training the next ChatGPT. Either way, nobody's touching that keyboard until the "learning" is complete.

The year is 2035. Your GitHub page now takes 15 minutes to load because it's scanning your code with 47 different AI tools, showing ads for Microsoft products, and suggesting you upgrade to Copilot Premium Plus Pro Max. Meanwhile, your diff is still "loading in 2 seconds" like it has been for the past decade. Progress! The real kicker? You'll still need to explain to the AI assistant why your perfectly valid code isn't actually a security vulnerability for the 500th time this week. But hey, at least now it can suggest you build a Pong game while you wait!