The Great GPT Explosion

Searching for fundamental particles of the universe and getting dairy products instead. Classic AI hallucination moment. The search shows antimatter, antiquarks, and protons with their constituent quarks (up, up, down), but then decides quarks are actually "a fresh, soft, and creamy dairy product." Somewhere, a particle physicist is stress-eating cheese while contemplating whether their entire career was just a dairy industry conspiracy.

Content Area of an ellipse nab Perimeter of an ellipse Ramanujan's formula Q, 318763 + b) + 10(a +6) + Var + 1406 + 67

That graph is what happens when AI learns to code itself! Look at that cliff in 2023—it's like someone pushed the entire software engineering profession off a digital ledge! 📉 For years, hiring trended upward as tech companies gobbled up coders faster than I gobble up coffee during grant deadlines. Then WHAM! The machines said "thanks humans, we'll take it from here!" and suddenly software engineers became as rare as dinosaurs at a keyboard. The tiny uptick at the end is probably just the companies hiring the few remaining humans to make sure the AI doesn't decide to turn us all into paperclips. Talk about job security through extinction!

Engineers panicking about AI stealing their jobs while the AI is just trying to understand electrical engineering fundamentals is peak irony. The diagram shows complex power factor calculations with phase angles and reactive/real power - stuff that mediocre engineers themselves probably struggle with. Meanwhile, ChatGPT is still figuring out if it should apologize for not being able to make you a sandwich. Your job security isn't threatened by artificial intelligence; it's threatened by your artificial competence.

Ever notice how academia's solution to expensive robots is exploiting grad students? On the left: a million-dollar AI requiring PhD-level maintenance and regular updates. On the right: a lab doge who works for kibble wages, runs on pizza fuel, and can be emotionally manipulated with deadlines! The true innovation in science isn't the technology—it's figuring out how to get humans to work for less than machines. Universities have perfected this economic model for centuries. Who needs silicon when you have desperate students with crippling imposter syndrome? That's the real breakthrough!

The infamous AI feedback loop in all its glory! This meme brilliantly captures the technical nightmare of model cannibalism - when AI systems are fed their own outputs as training data. It's like trying to learn French by repeatedly running English through Google Translate and then studying the increasingly garbled results. The final panel's expression is every ML engineer realizing their algorithm is now just amplifying its own hallucinations and biases. This is basically digital inbreeding for neural networks!