AI: The Flex Tape Of Modern Programming

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 AI hype train has left the station and everything's suddenly a "vibe" now. LLMs? Vibe. Image generators? Vibe. Neural networks? Big vibe energy. Meanwhile, developers are just nodding along in meetings, terrified to admit they have no idea why marketing keeps calling their REST API a "conversational vibe interface." Too late to ask now. Just smile and pretend you've been vibing all along.

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Just sitting back with my popcorn watching the AI hype train derail in slow motion. All these devs who pivoted their entire careers to "prompt engineering" are about to discover what us old-timers already know - there's no shortcut to understanding the fundamentals. When the hallucinations pile up and the VC money dries out, guess who'll be debugging the mess? The same people who've been writing actual code for decades. Munching carrots while watching careers burn is my new hobby.

Behold the perfect visualization of how AI investment money circulates in 2023! Microsoft pumping billions into OpenAI, OpenAI funneling cash to Nvidia for GPUs, and poor Oracle just awkwardly hanging out in the loop trying to stay relevant. The articulated bus traffic jam is *chef's kiss* perfect - these tech giants are just bending over backward to hand each other obscene amounts of cash while going absolutely nowhere. Meanwhile, the actual innovation is probably that bicycle in the corner quietly sneaking past the whole mess.

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