AI Necromancy

Every tech bro's solution to a problem: "Let's just disrupt an industry we know nothing about!" Gas prices high? Start an oil company. APIs expensive? Build your own LLM with 3 GPUs and a dream. Never mind that semiconductor fabrication requires billions in capital, decades of expertise, and clean rooms more sterile than your code reviews. The progression is always the same: identify problem → ignore all complexity → announce ambitious pivot → discover that some industries actually require more than a Notion doc and venture capital. Semiconductors aren't a SaaS product you can MVP your way into, but that won't stop someone from trying. Fun fact: Building a modern chip fab costs around $10-20 billion and takes 3-5 years. But sure, let's add that to the roadmap right after the blockchain integration.

The beautiful irony here is chef's kiss. A subreddit that supposedly despises AI because it's driving up RAM prices (thanks to all those GPU-hungry models) just upvoted an AI-generated image to 25k+. The post shows RAM sticks strapped to a wrist like a luxury watch—because who needs a Rolex when you can flex your DDR5 modules? The PC Master Race crowd loves to complain about AI training inflating hardware costs, yet they can't resist a good meme... even when it's made by the very thing they claim to hate. It's like protesting McDonald's while eating a Big Mac. The hypocrisy is so thick you could mine it for crypto. Also, wearing RAM as a watch is actually peak PC culture—telling time is temporary, but 64GB of memory is forever (or until DDR6 drops).

Back in 2014, you were juggling GitHub, Stack Overflow, Sublime Text, Vim, AWS, Linux, JavaScript, HTML5, and CSS3 like a caffeinated octopus. Fast forward to 2026, and you've been reduced to two AI tools doing all the heavy lifting while you just... exist. The transformation from energetic multi-tool warrior to tired AI-dependent shell is complete. We went from "I know 10 technologies" to "I know how to prompt ChatGPT." The hairline isn't the only thing that's receded—so has our need to actually remember syntax.

When ChatGPT hits you with that "You're absolutely right — I was testing your intelligence" after you catch it making a rookie mistake. Nothing says "cutting-edge AI" quite like a chatbot that needs to save face harder than a junior dev in code review. The best part? It confidently includes <string> in C++ like that's totally a thing, then pretends it was all part of some elaborate IQ test. Sure buddy, and I'm using import antigravity to deploy to production. The "aaS" suffix perfectly captures how cloud providers will sell you literally anything these days — even psychological manipulation with a monthly subscription.

Oh, how the times have changed! In 2020, we were writing our own isOdd() function with a cascade of if statements like absolute savages. Fast forward to 2025, and we're just outsourcing our brain cells to OpenAI's API. Sure, the 2020 approach was inefficient and borderline ridiculous (just use num % 2 !== 0 , you monsters!), but at least it didn't cost $0.002 per API call. Progress? Maybe. But our wallets are definitely feeling the difference between "free but stupid" and "smart but expensive." The real tragedy is that somewhere out there, a junior dev is actually implementing this in production right now.

The beautiful irony here is that AI replacing programmers requires the same impossible feat we've been waiting for since the dawn of software development: clients knowing what they actually want. "I want it to look modern but also classic, simple but feature-rich, exactly like our competitor but completely unique." Yeah, good luck feeding that to an AI prompt and getting anything usable. We've spent decades translating "make the logo bigger" into actual requirements—turns out that's the real skill keeping us employed. The day clients can articulate clear, consistent, and complete specifications is the day we'll have bigger problems than AI. Like, has reality itself broken? Job security through perpetual confusion—it's not the career path they taught us in school, but here we are.