New Physics Meme At My School

The academic world's most masochistic crossover has arrived! Some brilliant madlads actually created NeuralLaTeX - a deep learning library written entirely in LaTeX. For those blissfully unaware, LaTeX is that typesetting system we use to make our papers look pretty while cursing at missing brackets at 3am. This is like deciding your Ferrari isn't complicated enough, so you rebuild the engine using nothing but origami paper and dental floss. Sure, it technically works - they trained neural networks and generated fancy plots - but it took 48 hours just to compile! The true genius here is creating something so unnecessarily complex that reviewers will approve your paper out of sheer exhaustion. "Fine, accept it, just please stop sending us LaTeX neural networks!"

The desperate plea of every researcher trying to find actual primary sources instead of AI-generated summaries! Google's "AI Overview" feature has become the bane of academic existence—swooping in like an unwanted fish neighbor when all you want is to dig through those sweet, sweet peer-reviewed papers. Remember when search engines just... searched? Now we're all SpongeBob, frantically begging our search overlords to let us see the raw, unfiltered internet again. The digital equivalent of "I just want the recipe, not your life story" but for the entire knowledge ecosystem!

The kitten's journey from "hehe" to "not hehe" perfectly captures the reality check many CS students face when diving into AI. Sure, everyone wants to build the next ChatGPT, until they realize modern AI requires understanding complex physics concepts like the Fokker-Planck equation (which describes how probability distributions evolve in stochastic systems) and Brownian motion (the random movement of particles in fluid). The diffusion models powering today's coolest AI? They're basically sophisticated physics simulations. That CS major who thought they were escaping differential equations by ditching physics is in for a rude awakening! The irony is absolutely *chef's kiss* - turns out you can't escape Max Planck after all.

Einstein's E = mc² just got a hilarious upgrade! On the left, we see the "complete" equation with all its academic complexity: E² = (pc)² + (mc²)² + AI² . Meanwhile, on the right, the simplified version for press conferences: E = mc² + AI . This is basically every scientist trying to explain their research to journalists. "Yes, I spent 7 years deriving this complex relativistic quantum equation, but sure, let's just say 'AI makes energy now' for your headline." The real joke? In 2023, adding "AI" to anything actually does increase its energy... at least in terms of funding and media attention! Physics hasn't changed, but grant applications certainly have.

Someone just "proved" we live in an AI simulation by starting with Einstein's E=mc² and adding AI to it, then proceeding through a dazzling maze of unrelated physics equations until—surprise!—everything cancels out except E=AI. This is like saying "I can prove chocolate causes happiness" and then writing H=mc² + C, where H is happiness and C is chocolate, followed by 12 steps of random calculus until you get H=C. The best part? That final "What" at the bottom perfectly captures how actual physicists feel seeing Maxwell's equations being tortured into confessing to crimes they didn't commit.

Tech evolution used to be so simple: GPT-2, GPT-3, GPT-4... nice and orderly. Then suddenly we're drowning in GPT-4.1-nano-mini-turbo-pro-max-ultra editions like we're buying overpriced smartphones. The AI versioning system has officially reached the "throw random suffixes at the wall and see what sticks" phase. Next up: GPT-5 Cinnamon Toast Crunch Edition. Scientists and developers everywhere just want a straightforward numbering system, but marketing departments clearly had other plans.