ChatGPT Is Becoming A Real Engineer

The irony is absolutely delicious here. OpenAI, the company with "Open" literally in its name, has become increasingly closed-source over the years. Meanwhile, Anthropic (makers of Claude) just released their models with more permissive access than OpenAI's current offerings. It's like watching your strict parent get outdone by the cool aunt who actually lets you stay up past bedtime. The "Professor Poopybutthole" character awkwardly standing at the chalkboard is the perfect metaphor for OpenAI right now—just standing there, having to acknowledge this uncomfortable truth. They went from releasing GPT-2 with dramatic warnings about it being "too dangerous" to now being less open than their competitors. The character swap is complete: the rebel became the establishment, and the new kid is more punk rock than the original.

So we went from "Wikipedia isn't credible, cite peer-reviewed sources" to "just hallucinate an answer from an LLM trained on Reddit comments." The irony is so thick you could deploy it in a Docker container. Teachers spent decades drilling into us that Wikipedia was the devil's encyclopedia, meanwhile ChatGPT is out here confidently making up citations and historical events with the same energy as a junior dev explaining their code in a PR review. At least Wikipedia had the decency to show you the [citation needed] tags. Now we're supposed to trust a black box that occasionally insists that 2+2=5 if you ask it nicely enough. The same people who wouldn't let you cite Wikipedia for a high school essay are now asking ChatGPT to write their production code. What a time to be alive.

The evolution of developer terror, beautifully visualized. Starting with the prehistoric C/C++ era where "Segmentation Fault" and "Core Dump" made you question your entire existence, we progress through Java's "Null Pointer Exception" phase (complete with a club, because that's how subtle it feels). Then the internet age blessed us with "404 Error" and "Removed" (RIP your favorite library), followed by Reddit's "Duplicate" stamp of shame when you dare ask a question. Stack Overflow brings us "You're absolutely right" – the most passive-aggressive phrase in programming, usually followed by someone explaining why you're actually completely wrong. Finally, we reach peak civilization: AI confidently telling you "You're absolutely right" while generating code that compiles but somehow opens a portal to another dimension. The scariest part? We trust it anyway because it sounds so convincing. The real horror isn't the errors themselves – it's how polite the warnings have become while still destroying your soul.

So you're telling me I can double the budget, get the same number of features, but triple the bugs? Sold! The modern startup playbook in action: why hire competent developers when you can just throw an AI agent at the problem and call it "innovation"? The math here is beautiful—15K gets you 3 devs who actually understand the codebase and deliver 3 features with 1 bug. But 30K? You get a glorified autocomplete that hallucinates code, introduces 3 bugs, and still delivers 3 features (probably copied from Stack Overflow anyway). The AI doesn't need sleep, benefits, or emotional support, but it does need constant babysitting and a PhD in prompt engineering to not suggest using jQuery in 2024. Best part? When the AI screws up, you can't even yell at it. It just sits there, confidently wrong, burning through your API tokens like they're free samples at Costco.

Oh, the sacred code of chivalry has been updated for the machine learning era! Just as you'd never dare ask a lady her age, you shall NEVER inquire about a neural network's parameter count. Is it 175 billion? 7 billion? None of your business, good sir! Those model weights are as private as someone's browser history. The sheer audacity of asking "how many parameters does your model have?" is basically the AI equivalent of asking someone their salary at a dinner party. Some things are simply too personal, too intimate, too... computationally expensive to discuss in polite society. True gentlemen simply nod respectfully and pretend they're not dying to know if you're running a potato or a supercomputer.

Dogfooding: meh, I guess we should use our own half-baked project management tool that crashes every Tuesday. Dogshitting: OH HELL YES, we get to use our own AI that actually works and makes our jobs easier instead of pretending Jira is a good product. The difference? AI companies are actually excited to use their own tools because they're not selling enterprise garbage that requires 47 meetings to configure. They're building stuff that deletes their own workload. Revolutionary concept, really.