Deep Research Indeed

The tech industry's current obsession with slapping AI onto products is perfectly captured here. Some poor developer expressing their hatred for AI is immediately surrounded by corporate goons wielding their "tasty AI integration" like it's the solution to everything. Meanwhile, the developer's reaching for what appears to be a shotgun - because sometimes turning it off and on again just isn't enough of a fix. The real innovation would be a product that doesn't mention AI at all.

The eternal battle between AI evangelists and Unix veterans continues. One side thinks neural networks are magical solutions to everything, while the other knows that most problems can be solved by turning it off and on again. The real intelligence was the force-quit shortcuts we learned along the way.

The classic Drake meme perfectly captures the current tech ecosystem's absurdity. Rejecting the noble pursuit of solving actual problems (you know, the things software was originally invented for), while enthusiastically embracing yet another AI chatbot that generates cat poems in Shakespearean English. The pipeline from "I'm going to change the world with code" to "Check out my AI app that predicts what sandwich you are based on your GitHub commits" is alarmingly short. The VC funding paradox in action - actual solutions get ignored while the 47th AI image generator gets a $10M seed round.

Finally, someone said it! Andrew Ng, the AI guru who could've just kept raking in the Silicon Valley cash, decided to drop some truth bombs. "Vibe coding" sounds like you're sipping kombucha while casually typing console.log("feeling cute today") when in reality you're having your third existential crisis before lunch because your Docker container won't stop committing suicide. Nothing says "vibe" quite like staring at a stack trace at 3 AM while questioning your career choices. Maybe we should rename it "despair engineering" or "caffeine-fueled panic typing" instead?

Remember when we spent hours implementing binary trees and sorting algorithms from scratch? Now there's a line of developers sprinting toward ChatGPT while the "Data Structures & Algorithms" door collects dust. Why bother with Big O notation when you can just prompt engineer your way to a solution? The irony is we still need those fundamentals to understand if ChatGPT's code will crash and burn in production. But hey, who has time for that when deadlines are yesterday?

Oh. My. GOD! The absolute DRAMA of people with zero AI knowledge screeching about robot overlords while actual neural networks are over here labeling cats as dogs! 💀 The existential threat of AI is apparently a computer that can't tell the difference between basic pets! World domination? Honey, it can't even master a preschool-level animal identification task! Skynet isn't happening when your fancy algorithm thinks fluffy white cats are canines. But sure, keep panicking about the robot apocalypse while developers are just trying to make their models recognize basic objects correctly!