Who Should We Believe?

The classic bait-and-switch of AI development! First panel: "I love being an AI driven developer" sounds impressive—you're at the cutting edge of tech, working with sophisticated neural networks and machine learning algorithms. Second panel: "I get to work with models all day"... and there's the punchline. It's not about elegant mathematical models or groundbreaking algorithms—it's just endless prompt engineering, debugging hallucinations, and begging ChatGPT to format your JSON correctly for the 47th time today. The facepalm says it all. We've gone from writing code to writing increasingly desperate pleas to language models.

The glorious fall of programmer dignity, visualized in perfect clarity. Once upon a time, developers were digital demigods who wrote code without AI crutches, built entire games in Assembly (because apparently suffering builds character), crafted code that literally sent humans to the moon, and performed memory management wizardry by hand. Fast forward to today's pathetic reality: developers frantically Googling how to center a div (still an unsolved mystery of computer science), begging ChatGPT to fix basic syntax errors, getting permanently trapped in Vim like it's some kind of developer Hotel California, and introducing three new bugs while fixing one—a net negative contribution to humanity. The evolution from muscle-bound coding titans to helpless brain-worms perfectly captures how we've traded actual knowledge for dependency on tools. Progress!

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.

Content > New Startup based on Al Product > look inside > Just a wrapper on gpt

The duality of AI theft reactions is pure comedy gold! Designers freak out when DALL-E 2 uses their images for generating art, screaming about illegality and copyright. Meanwhile, programmers are so desperate for working code that when ChatGPT admits to scanning GitHub and stealing their code, they're just like "Cool. Did you get it to work?" Because let's be honest—if the AI managed to make that spaghetti code function properly, we're not mad... we're impressed. The true 10x developer is the one who knows how to properly plagiarize with AI assistance!

Nothing says family bonding like your dad confidently proclaiming your career's imminent doom. The classic "AI will replace programmers" statement—delivered with the same certainty as "you should've been a doctor" and "have you tried turning it off and on again?" Meanwhile, programmers everywhere are writing the AI that supposedly will replace them, debugging its hallucinations, and fixing its broken dependencies. The irony is thicker than legacy code comments. But sure, Dad. I guarantee the robots will take my job right after they figure out how to untangle my spaghetti code and decipher what "// TODO: fix this later" actually means.