Deep Learning

Delegating the TypeScript migration to AI is the modern equivalent of tossing your problems over the wall to the junior dev. Nothing says "I've reached peak seniority" like asking Claude to convert your janky JavaScript codebase while you kick back and pretend you're "architecting." The best part? That "make no mistakes" command—as if AI doesn't hallucinate semicolons like I hallucinate deadlines. Next week's ticket: "Fix all the weird union types Claude created that somehow accept both strings and refrigerators."

Palantir, the company that already has government contracts for surveillance tech, teaming up with NVIDIA to build AI spying software? Yeah, that's totally not concerning at all. Just two tech giants casually collaborating on what's essentially Skynet's little brother while everyone sips their coffee like "this is fine." The dog sitting in a burning room has never been more relatable. Privacy advocates are screaming, civil liberties lawyers are having aneurysms, but hey—at least the AI will run on those sweet RTX 5090s with ray-traced surveillance, right? The future is here, and it's got CUDA cores and a government clearance.

The AUDACITY of machine learning algorithms! Theory: a beautiful, straight line from A to B. Practice: a slightly chaotic but still navigable path. And then there's machine learning—a CATASTROPHIC explosion of lines that somehow, miraculously, eventually connects A to B while having an existential crisis along the way! It's like watching a toddler try to find the bathroom in the dark after drinking a gallon of juice. Sure, it might get there... but at what cost to our sanity?!

Someone really just asked why Wikipedia exists when ChatGPT can give you answers. Brother, ChatGPT is out here confidently telling people that spiders have 6 legs and Napoleon won Waterloo. The reply is chef's kiss perfection: "You're the people in the floaty chairs at the start of Wall-E." Translation: you've gotten so lazy that you're willing to trust an AI that makes stuff up 30% of the time over a crowdsourced encyclopedia with citations and actual humans fact-checking. Wikipedia has sources, edit histories, and talk pages. ChatGPT has... confidence and a gambling problem with facts. But sure, let's replace peer-reviewed knowledge with spicy autocomplete. What could go wrong?

The asylum of programming sins is now accepting new patients! Left to right, we have the poor soul who thought regex was a sensible XML parsing solution (narrator: it wasn't), the delusional dev who reinvented the wheel with a custom date/time library (because clearly, humanity hasn't solved that problem in the last 50 years), and finally—the pièce de résistance—the screaming maniac who blindly copy-pasted AI-generated "fixes" straight into production. The padded walls of this code asylum are the only things keeping these developers from harming themselves or others with more terrible technical decisions.

Sorting imports by character length instead of alphabetically or by module type? That's like organizing your sock drawer by how much each sock weighs. Sure, it looks oddly satisfying with that gradient effect, but your code reviewer is probably drafting your performance review right now. The real horror isn't the sorting method – it's that you're importing both matplotlib AND sklearn in the same file. That poor memory usage never stood a chance.