How The Reasoning Models Work

Remember when AI was our cute little sidekick? Now it's the hulking beast that makes us look like the sidekick. Two years ago we were teaching AI to recognize hot dogs. Today it's writing code faster than I can come up with excuses for why my PR isn't ready. Pretty sure next year I'll be fetching coffee for my AI overlord while it refactors my career into obsolescence. Still, at least I know where the power button is... for now.

Ah, "Vibe Coding" – where the only requirement is vibes and absolutely zero coding knowledge. Started as industry satire, now it's an actual 4-week course with a fancy instructor in a green suit promising to make you feel good about not understanding a single line of code. This is like offering "Vibe Surgery" where you just hold a scalpel and manifest healing energy. Next up: "Vibe Engineering" – build bridges with positive affirmations and Instagram filters. The tech industry has officially completed its transformation from "we need skilled engineers" to "just bring your authentic self and we'll figure out how to deploy that to production."

Standing in a field waiting for AI to replace developers who can't handle regex? Might be a while. Regular expressions aren't actually hard—they're just a precise language for pattern matching that follows logical rules. The real challenge is remembering to escape your backslashes twice and not writing patterns so complex that future-you sends death threats to past-you. Meanwhile, AI still struggles with "select all images with traffic lights," so maybe learn regex instead of waiting for the robot uprising.

Congratulations Amazon, you've achieved peak corporate irony! Replace 40% of your DevOps team with AI, then watch as your infrastructure implodes spectacularly. Nothing says "flawless strategy" like having Fortnite kids and Alexa users simultaneously discover that your cost-cutting measures resulted in digital apocalypse. The grim reaper couldn't have orchestrated a better self-own. Next time maybe keep the humans who actually know how to fix things when they break? Just a wild thought.

The circle of AI delegation is complete! Senior dev thinks they've discovered a brilliant management hack by treating juniors like neural networks and writing detailed prompts for them. Meanwhile, the junior is just copying those prompts straight into ChatGPT and letting the actual neural network do the work. It's basically prompt engineering inception - the senior dev is unknowingly prompt engineering for an AI through a human middleman who's adding zero value to the process. This is peak 2023 software development efficiency!

The ultimate AI reverse uno card. Someone asks ChatGPT if it can write code without copying from others, and ChatGPT fires back with "No, can you?" Brutal existential burn considering literally none of us write code from scratch anymore. We're all just professional Stack Overflow archaeologists with fancy job titles. The irony is delicious—humans accusing AI of plagiarism while we're all just remixing snippets and libraries that someone else built. At least the AI is honest about it.