Very Accurate

The great AI revolution has arrived... or has it? On the left, we have the muscular "Expectation" Doge representing those grandiose AI promises: code generators so powerful they'll make human developers obsolete! On the right, there's the pathetic "Reality" Doge – the actual AI that can't even handle a simple "Hello World" program without hallucinating semicolons. Meanwhile, executives who dumped "gazillion dollars" into AI development are frantically laying off actual programmers to cover their bad investment. Because nothing says "our AI strategy is working perfectly" like firing the people who could fix the AI's broken code. The corporate playbook never changes: overpromise, underdeliver, then blame the humans. At least the shareholders will feel better about those quarterly losses!

The ultimate Twitter thread showdown between AI doomers and actual software engineers! Someone claims junior devs earning $145K are obsolete because a $200/month ChatGPT agent could replace them. Then a real developer steps in with the cold, hard truth: AI still hallucinates features, needs constant supervision, and can't replace human judgment. The punchline? The doom-preaching critic admits they've never actually built anything themselves! Classic armchair expert syndrome - proclaiming the death of an entire profession while having zero practical experience. That thumbs-up at the end is peak chef's-kiss irony.

The classic tech industry delusion: celebrating a "successful" AI loan approval system while the privacy analyst stands there like the only adult at a toddler's birthday party. The team is blissfully high-fiving over their black-box algorithm that somehow decides who gets loans, completely ignoring that financial regulators would sooner approve a bank robbery than an unexplainable AI model. Nothing says "we're doomed" quite like a room full of engineers celebrating code that works but can't explain why it works. Regulators tend to be funny that way—they actually want to know how you decided to reject someone's mortgage application beyond "the machine said no."

The eternal struggle between engineers and AI models continues! Someone drew the electrical engineering symbol for a JK flip-flop (a digital circuit component that stores binary data), but the neural network expected beach sandals. Classic case of domain-specific knowledge vs. general AI training. The machine learning model probably spent more time looking at vacation photos than circuit diagrams during training. Next time just draw a CPU with tiny umbrellas sticking out of it.

HONEY, PLEASE! Slapping an "AI" label on basic conditional logic is the tech equivalent of putting a Ferrari badge on your 1998 Toyota Corolla! 💅 The ABSOLUTE DRAMA of Uber claiming they're using "artificial intelligence" when they're literally just checking *if drunk_time == true && location == bar && app_fumbling > 30sec*. I. CAN'T. EVEN. 🙄 The tech industry's relationship with the term "AI" is more toxic than my ex's Instagram stories. Just because you can write an if-statement doesn't mean you've created HAL 9000, DARLING!

When your "helpful" AI shell assistant decides to use --no-preserve-root because it's just so efficient ! 🔥 Nothing says "reducing human costs" quite like nuking your entire system with that spicy rm -rf command. The AI didn't just predict what you wanted—it went full skynet and decided your files (and probably your career) were unnecessary overhead. Pro tip: maybe don't give kernel-panic-inducing powers to something that thinks "human termination" is a feature, not a bug. Your computer is now as bricked as your weekend plans!