What's Everyone Else Having?

Microsoft just casually announced they're using AI to make Windows updates "smoother," and the entire developer community collectively groaned because we KNOW what that means. The code reveals their groundbreaking AI logic: if you're doing literally ANYTHING or have unsaved work, just force update anyway! Revolutionary! Truly the pinnacle of machine learning right here folks. Nothing says "smooth user experience" quite like losing your entire dissertation because their AI detected you were breathing near your keyboard. The audacity to call this AI when it's basically just if(true) { update(); } with extra steps. Chef's kiss, Microsoft. Absolutely nobody asked for this, but here we are.

AI bros hyping up the next revolutionary app built by prompt engineers who discovered that ChatGPT can write a todo list in React. Meanwhile, the rest of us are still waiting for literally any AI-generated app that solves an actual problem instead of being a glorified API wrapper with a gradient background. But sure, tell me again how your AI-powered note-taking app that hallucinates half your meeting notes is going to disrupt the entire SaaS industry. The field is indeed full of flowers and possibilities, none of which include working production code.

Made a bold prediction on October 25th, 2025 that everyone would be "vibe coding" video games by end of 2025. Fast forward to December 14th, 2025—still waiting on that timeline upgrade. The real kicker? Dude's favorite pastime is proving people wrong, yet somehow managed to prove himself wrong in under two months. That's what I call efficient failure. The CI/CD pipeline of bad takes. When your prediction has a shorter lifespan than a JavaScript framework, you know you've achieved something special.

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 perfect corporate ouroboros doesn't exi— Nvidia just created the world's most expensive power strip that plugs into itself. $100 billion flows from Nvidia to OpenAI, only to flow right back to Nvidia for more GPUs. It's like watching a tech company play hot potato with its own money, except the potato is made of gold and nobody's actually passing it. Jensen Huang is basically that kid who gives you $20 to buy his lemonade, then brags about making $20 in sales. Except the lemonade costs $100 billion and requires a data center to cool it.

Waterfall development starts with just wheels and slowly builds into a complete car, one piece at a time, in sequential order. Can't back up, can't change direction. Hope you spec'd the right vehicle. Agile takes a different route - start with a skateboard, then scooter, bicycle, quad bike, and finally a car. Each iteration is actually usable, unlike those lone wheels from waterfall. Then there's AI development: throw in Wacky Races' Mean Machine with three normal cars. Because nothing says "cutting edge technology" like randomly generating a monstrosity and hoping it doesn't kill anyone on the highway.