Just Give Us The Extension

When you ask two AI models the same basic math question and get completely opposite answers. Deepseek correctly identifies that 9.9 > 9.11 (treating them as decimals), while ChatGPT somehow thinks 9.11 > 9.9. This is why we still have jobs. For now. Nothing says "trust me with your critical systems" like failing elementary school math. Somewhere, a software engineer is using this screenshot in their slide deck titled "Why Human QA Still Matters".

OH. MY. GOD. Someone actually asked ChatGPT to code the gender pay gap into existence! 😱 The absolute AUDACITY to create a function that multiplies a man's salary by 0.77 to get a woman's salary! This is like asking an AI to mathematically formalize inequality while wearing a suit and pretending it's just "realistic programming." The function is so brutally honest it might as well have variable names like "systematic_inequality" and "patriarchy_coefficient." Whoever prompted this probably also asks for functions to calculate how many kitchen appliances equal one sports car. 💀

Google Gemini just gave the most "random" string in the history of random strings. Nothing says "I'm definitely not using a pattern" like literally using the alphabet followed by sequential numbers. That's like asking for a random password and getting "password123". Next they'll tell us their favorite dice roll is always 3.5.

Remember that stable software career you were planning? Yeah, that's getting brutally stabbed by a perfect storm of layoffs and economic uncertainty while AI hype watches from the doorway with a sinister grin. Meanwhile, your dreams of becoming the next tech rockstar are standing outside, blissfully unaware they're about to be murdered too. The tech industry's version of a slasher film where your career aspirations are the unsuspecting teenagers. Pro tip: Maybe learn to sharpen knives as a backup skill? At least those can't be automated... yet.

Einstein says insanity is repeating the same thing expecting different results, while machine learning algorithms are literally just vibing through thousands of iterations with the same dataset until something clicks. The irony is delicious - what we mock as human stupidity, we celebrate as AI brilliance. Next time your model is on its 10,000th epoch, just remember: it's not failing, it's "converging to an optimal solution." Gradient descent? More like gradient stubbornness.

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!