Really Tired Of AI Hype

Behold, the PINNACLE of developer security theater! 🎭 Worried about AI stealing your precious algorithms? Set up a private git server! But then use it to commit your API keys in plain text because APPARENTLY reading documentation about environment variables is TOO MUCH WORK. It's like installing a state-of-the-art security system for your house and then leaving the key under the doormat with a neon sign pointing to it. GENIUS LEVEL SECURITY!

HONEY, ANOTHER TECH BRO THINKS HIS AI STARTUP IS REVOLUTIONARY! 🙄 The top panel shows some delusional founder with that manic "I just discovered ChatGPT" gleam in his eyes, screaming about disrupting the entire industry. Meanwhile, the actual industry (represented by endless shelves of identical products) is just sitting there like "Sure, Jan." The industry has heard this EXACT same pitch 47,000 times this week alone and is completely unfazed by your "groundbreaking" idea that's basically just GPT with a fancy logo slapped on it. REVOLUTIONARY INDEED! *dramatically faints onto keyboard*

The AI ethics bot just witnessed a child.kill() function and had a full-blown existential crisis. Classic case of "context matters" in programming. The bot's like "I can't assist with violence!" while the code's just handling thread management. Look at that beautiful irony - a recursively named AI refusing to help with perfectly innocent code because it contains a murder-sounding method. Six years of code reviews and I've never seen an AI clutch its digital pearls this hard.

The corporate tech layoff saga continues! First, companies dump their engineers because "AI will save us money!" Then reality hits them like a production outage at 3 AM with no one to fix it. Sure, AI can write some code, but who's gonna explain to it why the client needs that button to be "more blue, but not too blue" or debug that legacy codebase written by some guy who left in 2011 and took all documentation with him? The best part? After burning millions on AI tools, they'll quietly start rehiring the same engineers at higher rates as "AI implementation specialists." Classic corporate self-sabotage at its finest!

The perfect double entendre for data scientists! In 2020, saying "my girlfriend is a model" might mean she walks runways. But by 2026? That smile turns to existential dread because she's literally an AI model trained on terabytes of data. The progression from happy to horrified perfectly captures how machine learning is evolving. First we had simple classification algorithms, now we're creating digital companions with GPT-sized parameter counts that can pass for human. Your actual girlfriend might need to compete with a fine-tuned transformer architecture soon!

Oh look, a savage burn on both AI and frontend developers in one go! The meme suggests you need a "thinking model" AI for backend work because it requires actual logic and problem-solving. Meanwhile, frontend work apparently just needs a "non-thinking model" because who needs brains when you're just making things pretty, right? As someone who's done both, I can confirm this is hilariously unfair. Frontend devs spend hours debugging why a div is 3 pixels off while backend devs act superior because they wrote a function that crashes only most of the time instead of all the time. The real joke is that we're all just trying to convince computers to do what we want, and failing spectacularly in our own special ways.