AI Funding Needs To Stop

When you ask an AI to fix your CSS z-index issue and wake up to find your entire website has vanished into the void. Classic sledgehammer approach to fixing a thumbtack problem! The z-index is technically no longer causing issues if there's nothing left to display. Zero elements = zero stacking context conflicts. Task failed successfully! For the uninitiated: z-index controls the stacking order of elements on a webpage (which appears on top of what). Fixing it usually requires a small CSS tweak, not nuclear annihilation of the entire UI.

Ah, the classic "spend 2 minutes and 2 seconds to count to 10" problem. ChatGPT just turned basic geometry into a research dissertation. That's the same energy as developers who write 200 lines of documentation for a function that returns true or false. The best part? It's clearly a heptagon (7 sides), but ChatGPT's counting each "distinct corner" like it's being paid by the vertex. Next up: AI spending 4 minutes explaining why 2+2=5 with "reasoned thinking."

Ah, the great RAM-ocalypse of 2025! Remember when we used to joke about "downloading more RAM"? Well, now we're hoarding physical sticks like they're apocalypse currency. With AI models growing faster than tech salaries, RAM has become the new gold. Your gaming rig needs 64GB just to run Chrome with three tabs open, and your boss still expects you to develop on a 16GB machine because "that's what we budgeted for." Meanwhile, billionaires are stockpiling RAM modules like they're preparing for the memory shortage singularity. The rest of us are just hoping our Docker containers don't notice we're running on digital fumes.

OH MY GODDD! This is LITERALLY k-means clustering in its purest form! Those poor souls are manually separating colored balls into distinct clusters like some twisted data science ritual! The algorithm in real life is just as chaotic - throwing random centroids around and then frantically shuffling points between groups until everything looks "good enough." The absolute DRAMA of unsupervised learning, where you're just desperately hoping your arbitrary number of clusters makes sense! And don't even get me started on how this perfectly captures the "elbow method" failing spectacularly when you realize you picked the wrong k value and now your entire analysis is a technicolor disaster!

The classic learning curve of doom! Newbie programmers staring up at the programming staircase of despair where even the first step (Hello World) looks like Mount Everest. Meanwhile, they're already Googling "how to build Skynet with no programming experience" and wondering why their neural networks aren't sentient yet. The irony is that most tutorials literally start with printing "Hello World" to the console, but somehow folks want to skip straight to building the next ChatGPT without understanding variables. It's like trying to compose a symphony when you can't even play "Hot Cross Buns" on the recorder.

Ah, the irony of modern tech! Here's a vintage book teaching "Artificial Intelligence in BASIC" from what looks like the 80s, sitting right next to "EXPERT SYSTEMS" on the bookshelf. Fast forward to 2023, and we're all losing our minds over ChatGPT and friends—billion-dollar AI systems built on Python, a language that would make your CPU cry if you asked it to calculate 2+2 in less than half a second. The cosmic joke is that we've gone from programming AI in languages designed to be "Beginner's All-purpose" to building world-changing models with a language where indentation errors can crash your entire system. Somewhere, this book's author is either laughing hysterically or weeping uncontrollably.