I'M A Computer Wizard I Guess

When AWS casually announces another price hike on GPU instances and you're already burning through your budget faster than a poorly optimized training loop. That 15% increase hits different when you're running ML workloads that cost more per hour than a fancy dinner. Meanwhile, Bezos is probably wondering why everyone's suddenly so upset about what amounts to pocket change for him. Sorry buddy, some of us actually have to justify these cloud bills to finance departments who think "the cloud" means free storage.

When your machine learning course gets too intense, so you take it to the next level—literally. This is what happens when someone takes "deep learning" a bit too literally. While neural networks are diving into layers of abstraction, this person is diving into a pool with their textbook. The irony is palpable—studying underwater won't make your AI algorithms any more fluid, but it might make your textbook unusable. Next up: "reinforcement learning" at the gym and "natural language processing" by shouting at trees.

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".

Brutal honesty right here. Everyone's building "AI-powered apps" but let's be real—most of them are just fancy UI layers slapping a markup on OpenAI API calls. You're not doing machine learning, you're not training models, you're literally just buying tokens wholesale and reselling them retail with some prompt engineering sprinkled on top. It's like calling yourself a chef because you microwave Hot Pockets and put them on a nice plate. The term "wrapper" at least had some dignity to it, but "Token Resellers" cuts straight to the bone—you're basically a middleman in the AI supply chain. No shade though, margins are margins, and someone's gotta make those API calls look pretty.

Nothing says "I'm helping" like an AI that can't even match parentheses properly. Those unbalanced brackets and braces in Google's Gemini ad are the coding equivalent of nails on a chalkboard. Sure, let the AI write your code—if you enjoy debugging cryptic syntax errors at 2AM while questioning your career choices. "Streamline your workflow" they say... more like "streamline your path to Stack Overflow." The irony of a code-generating tool that can't generate syntactically correct code in its own marketing material is just *chef's kiss*.

Oh. My. GOD! The absolute DRAMA of it all! Microsoft proudly announces that 30% of their code is now AI-generated, and then BOOM! 💥 Git operations are failing EVERYWHERE! It's like watching a corporate horror movie unfold in real-time! The grim reaper couldn't have timed his entrance better! One minute they're bragging about AI writing their code, and the next minute their Git operations are having an existential crisis. Coincidence? I think NOT! This is what happens when you replace human developers with AI that learned to code by copying StackOverflow answers without reading the comments! Reset the counter indeed—we've gone exactly ZERO days without a Microsoft AI disaster. The skeleton is all of us watching our repositories crumble while Microsoft's PR team frantically tries to explain that AI definitely wasn't responsible for this catastrophe. Sure, Jan. 🙄