When I Decided To Write A Resume

Dennis Ritchie invented C in 1972. Anders Hejlsberg invented C# in 2000. Now some random guy with a webcam and a dream invented "C~slop" in 2026. The natural evolution of programming languages, really. From foundational systems programming to enterprise-friendly managed code to... whatever AI-generated fever dream we're about to endure. The progression of facial expressions tells you everything you need to know. Ritchie looks dignified and accomplished. Hejlsberg looks professional and pleased with his work. Random webcam guy looks like he just discovered he can prompt ChatGPT to write an entire programming language and is way too excited about it. Can't wait for the Hacker News thread where people debate whether C~slop is "production ready."

YouTube's algorithm just delivered a tactical nuke to your programming career. Getting recommended "Not Everyone Should Code" while you're already watching coding tutorials is like your GPS suggesting you turn around and go home mid-journey. The algorithm looked at your viewing history, ran some calculations, and basically said "yeah, maybe try pottery instead." That concerned cat stare hits different when you realize the machine learning model has seen your debugging sessions and decided you need an intervention. Nothing says "imposter syndrome confirmed" quite like an AI actively discouraging you from your chosen profession. At least it's polite enough to frame it as a recommendation.

So the AI looked at a plucked chicken and confidently declared it's a man with 91.66% certainty. Technically not wrong if you're following Plato's definition of a human as a "featherless biped" – which Diogenes famously trolled by bringing a plucked chicken to the Academy. Your gender detection AI just pulled a Diogenes. It checked the boxes: two legs? ✓ No feathers? ✓ Must be a dude. This is what happens when you train your model on edge cases from ancient Greek philosophy instead of, you know, actual humans. The real lesson here? AI is just fancy pattern matching with confidence issues. It'll classify anything with the swagger of a senior dev who's never been wrong, even when it's clearly looking at a nightmare-fuel chicken that's 100% poultry and 0% person.

That moment when a children's chair has better edge detection than your 3000-line image processing algorithm. Spent two weeks optimizing your code only to be outperformed by a piece of furniture from Blues Clues. The black outline is just mocking your gradient descent functions at this point.

The evolution of developers has taken a tragic turn! Back in the glory days, programmers were depicted as muscular chads who wrote code without AI assistance or Stack Overflow, built entire games in Assembly language (absolute madlads), crafted mission-critical code for Moon landings, and fixed memory leaks by manually tweaking pointers. Fast forward to today, and we've devolved into bizarre creatures who can't center a div without Googling it for the 500th time, beg ChatGPT to fix basic syntax errors, get trapped in Vim like it's some kind of developer prison (":q! anyone?"), and somehow manage to create three new bugs while fixing just one. The brutal reality check hits hard. We went from programming gods to dependency-addicted gremlins who can't function without our precious tools. Progress?

Ah, the classic "models" folder misunderstanding. While she's expecting to find questionable photoshoots, you're just a data scientist with PyTorch and scikit-learn files. The disappointment on her face says it all—she was ready for scandal but found... *checks notes*... pickle files and Python tensors. The relationship might need a flowchart to explain that your "hot models" are just neural networks with good accuracy scores.