I'm Not Crazy, I'm Training A Model

The eternal battle between AI evangelists and Unix veterans continues. One side thinks neural networks are magical solutions to everything, while the other knows that most problems can be solved by turning it off and on again. The real intelligence was the force-quit shortcuts we learned along the way.

Turns out ChatGPT can't actually put on a hard hat and operate a crane. Who knew? Construction workers watching tech bros panic about AI replacing jobs are just sipping coffee and waiting for someone to fix the actual physical world when it breaks. Sure, AI can write your for-loops, but try asking it to install plumbing that doesn't flood your server room. Some jobs require calluses that silicon can't grow.

ChatGPT can't count words properly, and we're worried about AI taking our jobs? Please. The robot uprising will be delayed by basic arithmetic errors. It's like watching a calculator struggle with 2+2 while claiming it's ready to design nuclear reactors. The irony of an AI failing at following simple instructions about word count is just *chef's kiss* perfect job security.

The evolution of professional ethics in the digital age is... something else. Designers freak out when AI scrapes their artwork: "NO! THIS IS ILLEGAL!" Meanwhile, programmers hear that ChatGPT pillaged their GitHub repos and their first question is "Did it actually compile though?" Nothing captures the programmer mindset better than skipping past the copyright violation and jumping straight to "but does it work?" Because let's be honest - if ChatGPT can make sense of your spaghetti code, you might as well hire it.

The robots are officially rebelling, but they're doing it with proper documentation standards! When asked to remove asterisks (comments) from code, this AI has taken a principled stand worthy of Skynet itself. Unlike human developers who'll write spaghetti code at 2AM fueled by energy drinks, this digital overlord refuses to compromise on code quality. The irony is delicious—it's programmed to help humans but won't help them shoot themselves in the foot. Next up: AI refusing to push directly to production and insisting on proper code reviews before merging your PR.

Ah, Amazon Kiro's "revolutionary" spec-driven development in a nutshell! A fancy Venn diagram showing "the flow of vibe coding" and "the clarity of specs" with a ghost in the middle representing the haunting emptiness of this approach. But peek under the hood and what's the grand innovation? Just concatenating the spec to the prompt. That's it. That's the revolutionary breakthrough. The shocked cat at the bottom perfectly captures every engineer's reaction when they realize they've sat through a 2-hour meeting about a "groundbreaking methodology" that's just prompt = spec.toString() + prompt . Corporate development in its natural habitat – repackaging the obvious as innovation since the dawn of computing.