The Itchy Victory: Humans 1, AI 0

Ah, the classic LinkedIn resume time-travel paradox! This CS grad with a 4.3 GPA from Columbia somehow managed to intern at NASA, OpenAI, and Google before graduating, then immediately pivoted to their dream career... flipping burgers at McDonald's in May 2025 (which hasn't even happened yet). The chronological whiplash is giving me serious temporal complexity issues. It's like they implemented a reverse-sorted linked list of career achievements where Big O notation stands for "Order of fries, please." This resume perfectly captures that special moment when your algorithm for career progression throws an unexpected exception.

Ah yes, the pinnacle of software engineering: using a multi-billion dollar AI model to add 1 + 2. That's like hiring a NASA rocket scientist to operate your toaster. The code imports OpenAI, sets two variables, then asks ChatGPT to perform basic arithmetic that the language could do natively with a simple + operator. Congratulations, you've just made the world's most expensive calculator with the worst possible performance. Next week: using quantum computing to check if a number is odd.

The iceberg of AI terror is real, folks! On the surface, it's just "AI" - those fancy chatbots everyone's talking about. Dive a bit deeper and you hit "Machine Learning" where your code starts making decisions without you explicitly telling it how. But the true horror? That murky "Deep Learning" zone where neural networks do their black magic. And what's holding this entire technological monstrosity together? Some poor developer's spaghetti Python code and linear algebra that they barely remember from college. The whole industry is basically running on StackOverflow answers and caffeine. Next time someone says they "work in AI," remember they're just the tip of an iceberg floating on a sea of mathematical duct tape and prayer.

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?!

Remember when gamers could actually afford GPUs? Yeah, me neither. First it was crypto miners turning graphics cards into digital gold pans, now it's AI companies hoarding them like digital dragons. Meanwhile, Nvidia's over there counting cash while gamers are checking if kidneys are still selling well on the black market. The circle of tech life: gamers get distracted by a shiny new game trailer, turn around, and find their GPU budget has been mugged in a dark alley by corporate interests.

Content Today 6:14 AM dude your job is done for • I just made an entire website with chatGPT wanna see it? sure Read 6:16 AM C: Users\ben\ Downloads\index.html