Github In 2035

OH. MY. GOD. The absolute TRAGEDY of modern startups! 😱 Some fancy-pants developer shows up to the venture capital party like "I've revolutionized technology!" only to reveal they've created yet ANOTHER ChatGPT wrapper that solves the most insignificant problem known to mankind. It's the tech equivalent of putting a bow on a potato and calling it innovation! The venture capital world is DROWNING in these "groundbreaking solutions" that are basically just AI with lipstick. The pirate's face says it all - that perfect mix of disappointment and "are you seriously expecting funding for THIS?" I can't even with these people!

The Nobel Committee turning its back on actual computer science to ogle traditional physics is the academic equivalent of your crush ignoring your perfectly engineered app to date someone who can explain why apples fall from trees. Quantum computing? Machine learning breakthroughs? Nah, let's give another medal to someone who found a slightly different way to measure gravity. Meanwhile, the folks revolutionizing how we process information are left swiping through job postings that require "5+ years experience in a framework released last Tuesday."

The evolutionary tale of a data scientist! First, we see Statistics (elephant) and Computer Science (snake) as separate entities. Then they decide to collaborate—because obviously, elephants and snakes make natural coding partners. The snake begs for statistical knowledge, and suddenly—BOOM—they transform into a dinosaur labeled "DATA SCIENTIST." It's the perfect representation of how merging statistics with programming creates this mythical creature that everyone wants to hire but nobody can quite define. The irony? Real data scientists spend 80% of their time cleaning data, not evolving into majestic dinosaurs. Should've shown the final form as a janitor with a SQL mop.

NVIDIA CEO: "Just use AI to double your VRAM!" My wallet: *screams in financial agony* 💸 The AUDACITY of suggesting we just casually drop $3000 on a graphics card! What's next? Selling a kidney to run Stable Diffusion? The absolute DELUSION that we're all swimming in money pools like tech billionaires! Meanwhile I'm over here calculating if I can afford both electricity AND ramen this month. The GPU market isn't just a clown show anymore—it's the entire circus, complete with overpriced admission tickets! 🎪

When your boss says "we need to implement machine learning" but all you really need is a simple if-statement. The eternal struggle of devs everywhere - getting asked to use a sledgehammer when a regular hammer would do just fine. The math behind ML is the unsexy reality nobody wants to talk about at standup.

Sure, your AI agent built that app in 5 minutes, but good luck maintaining that spaghetti junction of code six months from now. The left shows traditional development—straightforward, predictable, maybe boring but gets you where you need to go. The right is modern AI development—looks impressive with all those fancy switches and signals, but one wrong move and your train derails into dependency hell. I've seen enough "AI-accelerated" projects crash and burn to know that speed now means tech debt later. The complexity always comes due.