The 15,000 Traitors

The perfect excuse has finally arrived in the AI era. Just tell your manager "my code's generating" while Claude or GPT does the heavy lifting, and suddenly you're not scrolling Reddit—you're "waiting for computational processes to complete." Works every time. The best part? When the code finally arrives, you can just claim you wrote it and collect those sweet, sweet productivity points. Modern problems require modern solutions.

That moment when you realize the "simple" Tower of Hanoi puzzle that entertains toddlers has become the new benchmark for exposing AI limitations. Programmers have been sweating over this recursive nightmare for decades, and now we're watching advanced LLMs fail at it too. Nothing quite validates your career choices like seeing a $100 billion AI model struggle with the same puzzle that made you question your life decisions during your first algorithms class. The screaming red face is just our collective internal monologue when debugging recursive functions.

The duality of AI code reviews. Non-technical folks see a magical solution that writes perfect code while senior devs spot the nested callbacks, security vulnerabilities, and performance nightmares lurking beneath the surface. It's like watching someone admire a beautifully painted house without noticing it's built on quicksand. The hallucinated documentation is just the cherry on top of this algorithmic disaster cake.

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ChatGPT taking a full 34 seconds to transform "yo G" into a corporate email greeting is the digital equivalent of rehearsing a phone call 17 times before dialing. That AI is definitely sweating in binary while crafting the perfect response that screams "I definitely know how to human correctly." Next update: GPT-5 with built-in social anxiety and the ability to ghost conversations for days.

The expectation vs reality of AI coding assistants in a nutshell. Everyone's hyping different AI models, but they're all just regurgitating the same Stack Overflow answers and GitHub repos with slightly different syntax highlighting. Notice how all four implementations have identical logic? That's because no matter which AI overlord you pledge allegiance to, they've all been trained on the same Rust code snippets. It's like four college students copying the same homework but changing the font to avoid detection. The real innovation here is how many different ways they can add comments to the same algorithm while making you feel like you're getting unique, cutting-edge assistance. Revolutionary stuff.