The Art Of Selective Blindness

The perfect metaphor for GitHub Copilot's autocomplete functionality! You start typing some code with a clear intention in mind, and Copilot jumps in with the confidence of someone who absolutely knows what you're going to say... except it's hilariously off-target. Just like when you're about to deliver a profound statement and someone interjects with "sandwiches?" The AI is trying so hard to be helpful but sometimes the suggestions are so wildly disconnected from your actual coding intentions that you can't help but laugh. It's that special relationship where you type "const authenticate = async (user" and Copilot suggests "...PizzaDeliveryOptions) =>"

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When your coding interview asks you to implement FizzBuzz but you've spent the last decade writing unreadable code to impress your colleagues. That's not just FizzBuzz—that's FizzBuzz with extra steps, obfuscation, and a sprinkle of "I'm too smart for readable solutions." Nothing says "hire me" like turning a 5-line problem into cryptic sorcery using the __LINE__ macro to loop through numbers. The interviewer wanted to see if you could code; you showed them you could create puzzles that would make the Sphinx quit its day job.

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Ah, the mythical parallel universe where bogosort—the algorithm equivalent of throwing a deck of cards in the air and hoping they land in order—actually works reliably. In our dimension, this disaster of an O(n×n!) algorithm would take longer than the heat death of the universe to sort your Netflix queue. But somewhere out there, developers are using it in production and getting promotions while we're stuck optimizing quicksort like suckers.