Multilayer Perceptron: It Just Says 4

The evolution of developer excuses is a beautiful thing to witness. In 2000, power outages were the go-to alibi. By 2012, we blamed flaky internet connections. But 2024? We've reached peak dependency – "Sorry boss, ChatGPT is down so my coding abilities have mysteriously vanished." Let's be honest, how many of us have secretly copy-pasted AI-generated code directly into production? The uncomfortable truth is that modern development sometimes feels like being a professional prompt engineer with Stack Overflow as backup. And the title? "Nah We Have Google Bard" just confirms we always have a backup AI to blame our productivity on!

The AI industry in a nutshell: app developers are out here looking like they just stepped off a yacht in Monaco, sipping oat milk lattes and closing Series B funding rounds. Meanwhile, the ML engineers training those models? They're living that grad student lifestyle—empty wine bottles, cigarette ash, and a profound sense of existential dread while babysitting a GPU cluster for 72 hours straight because the loss curve won't converge. The app devs just call an API endpoint and suddenly they're "AI innovators." The model trainers are debugging why their transformer architecture is hallucinating Shakespeare quotes in a sentiment analysis task at 4 AM. One group gets VC money and TechCrunch articles. The other gets a stack overflow error and clinical depression. The duality of AI development is truly something to behold.

The perfect excuse for slacking off has evolved over the decades. First it was "my code is compiling" (the classic), then "my AI is training" (the upgrade), followed by "my LLM is thinking" (the premium model), and now we've come full circle back to "my code is compiling" because why fix what isn't broken? The longer the wait time, the longer you can sip coffee and stare blankly at your screen while your manager slowly loses their will to question you. Nature's perfect defense mechanism for developers in the wild.

Palantir, the company that already has government contracts for surveillance tech, teaming up with NVIDIA to build AI spying software? Yeah, that's totally not concerning at all. Just two tech giants casually collaborating on what's essentially Skynet's little brother while everyone sips their coffee like "this is fine." The dog sitting in a burning room has never been more relatable. Privacy advocates are screaming, civil liberties lawyers are having aneurysms, but hey—at least the AI will run on those sweet RTX 5090s with ray-traced surveillance, right? The future is here, and it's got CUDA cores and a government clearance.

You're trying to move a feature you barely understand into production, and your support system is basically a human pyramid of questionable reliability. Your senior is at the bottom (probably on their phone), Claude and Gemini are doing the heavy lifting in the middle, your cursor is there for moral support, and somehow a 12-year-old StackOverflow thread is the one actually keeping everything from collapsing. The best part? You're at the top pretending you know what you're doing while everyone below is desperately trying to keep you from falling. Modern development in a nutshell: standing on the shoulders of AI assistants, outdated forum posts, and one senior dev who's probably questioning their life choices. At least nobody's reading the documentation—that would be too easy.

When your AI-powered project becomes a Frankenstein's monster that even AI can't fix... That's when you know you've created something truly special. This dev built a 30-file Python monstrosity with zero Python knowledge, using Claude as their coding sidekick. Now Claude's having an existential crisis trying to understand the spaghetti code it helped create. The irony is delicious - AI was supposed to replace programmers, but it turns out you still need actual programming skills to tell the AI how to clean up its own mess. This is like asking a toddler to babysit itself and then wondering why the house is on fire.