Thanks Copilot

Just build your own trillion-parameter AI model with a small indie team of 3 developers over the weekend! It's basically like making a to-do app but with more math. The creator's "What do you mean" response is the digital equivalent of watching someone suggest building a rocket to Mars using duct tape and a leaf blower. Turns out, recreating cutting-edge AI systems requires slightly more than Stack Overflow and energy drinks.

Ah, the classic "server room at 3 AM" look. DeepSeek's AI model just discovered that content filtering is expensive when you're processing 50 million prompts about politically sensitive topics. Nothing says "unexpected AWS bill" quite like a man contemplating his life choices while his GPU instances burn through cash faster than a startup with free lunch perks. The cloud cost optimization meeting is going to be... interesting.

When your neural network tutorial makes more money on the "other" platform than YouTube. 🤔 Turns out the thirst for knowledge takes on a whole new meaning when it's hosted on Pornhub! $1000 vs $340 per million views? Guess we've all been uploading our algorithms to the wrong site this whole time. The real big brain move isn't optimizing your SEO—it's changing your video platform. And here I am, like an idiot, trying to monetize technical content on YouTube like some kind of peasant.

Oh snap! The classic tech industry bait-and-switch! 😂 Companies be like "Check out our REVOLUTIONARY AI system" and then the fine print reveals it's actually just outsourced human labor! Amazon's "just walk out" checkout tech that everyone thought was some magical computer vision breakthrough? Surprise! It was 1,000 humans in India watching cameras the whole time! The astronaut meme perfectly captures that moment when the tech bubble bursts and we realize the "AI" behind the curtain is just people working for cheaper wages. Next time someone brags about their company's "AI solution," I'll be side-eyeing them wondering how many humans are actually powering that "algorithm"!

The brutal truth of modern tech interviews! At home, you're basically Thanos with the infinity gauntlet of tools—VSCode, GitHub Copilot, DeepSeek, and other AI assistants making you feel like you could snap half the bugs out of existence. But the moment you step into that interview room? Suddenly you're Rhino from Spider-Man—sweating in a ridiculous costume while trying to remember how to reverse a linked list on a whiteboard. The cognitive dissonance between our tool-augmented daily coding superpowers and the bare-metal interview process is the ultimate developer identity crisis.

Ah yes, the classic "let me solve this simple problem with the most unnecessarily complex solution possible" approach. Two mutually recursive functions to check if a number is even or odd? This has ChatGPT's fingerprints all over it. Meanwhile, every developer with more than 3 brain cells is screaming: return (n % 2 == 0); and calling it a day. This is what happens when you ask AI to "make it elegant" or "optimize this function." You get code that looks impressive in a technical interview but would get you publicly shamed in a code review.