The Second-Rate AI Assistant

BEHOLD! The two genders of tech bros: those who scoff at astrology while those SAME MEN will literally build an entire neural network to figure out if their crush likes them back! 💀 Like, sweetie, you're writing complex AI algorithms with multi-head attention mechanisms to predict relationship outcomes when you could just TEXT HER?! The DRAMA of using gradient descent to calculate the probability of getting back together instead of therapy is just... *chef's kiss* peak engineer behavior! Who needs Mercury retrograde when you've got matrix calculations to tell you you're still single? ICONIC.

Content Your first podcast will be awful Your first video will be awful Your first article will be awful Your first art will be awful Your first photo will be awful Your first game will be awful But your first code will be perfect. Zero bugs and a very clean code. It will be "Hello World" Me: ››> Print ("Hellow World!") Traceback (most recent call last): File " ", line 1, in Print ("Hellow World!") NameError: name 'Print' is not defined >›>

Asked Copilot to create a simple flexbox layout and it decided to spawn the Inception of div containers. That conditional at the top should've been v-if="canCreateNightmare" . Nothing says "I'm helping" like turning a 3-line layout into the HTML equivalent of a Russian nesting doll. And the best part? All that code just to add the same gap-4 everywhere. Efficiency at its finest!

Looks like GitHub Copilot just went full 1950s mode! Two functions side by side: one for men that returns the salary unchanged, and another for women that returns 90% of the input. Copilot didn't just write code—it accidentally coded up the gender pay gap! This is what happens when your AI learns from historical data without an ethics class. The machine isn't biased... it just perfectly mirrors our messed-up world. Maybe the next update should include a "modern society" plugin.

The battle cry of every regex enthusiast who's watched AI models steal their thunder. Remember the good old days when text processing meant crafting the perfect regex pattern that looked like someone headbutted a keyboard? Now we've got billion-parameter models turning words into vectors and pretending they "understand" language. The bottom half showing "real NLP" with incomprehensible mathematical formulas and question marks is just *chef's kiss* - nothing says "human-friendly" like equations that would make even tenured professors reach for the aspirin. And that regex pattern in the middle? That's the ancient incantation developers used to summon the text-processing gods before we decided to burn exaflops of computing power to figure out if "John hates Mary" or if he's just having a bad day.

Tech companies: "Our revolutionary AI will transform your workflow and boost productivity!" *five minutes later* "How dare you use AI to solve our fizzbuzz test? That's cheating!" The corporate hypocrisy meter just broke. They want you to buy their AI products but heaven forbid you use them to bypass their archaic hiring rituals.