Quicker, But What Do We Sacrifice?

The classic "Asian parent expectations" trope gets a hilarious AI twist! Dad barging in with "YOU AGI YET?" while his son defends himself with "NO DAD, I'M AN LLM" only to be dismissed with "TALK TO ME WHEN YOU AGI." For the uninitiated: LLMs (Large Language Models) like ChatGPT are impressive but limited, while AGI (Artificial General Intelligence) is the holy grail that can think/reason like humans across all domains. It's like comparing a calculator to an actual mathematician. The crushing disappointment in Dad's eyes says it all... "My neighbor's AI is already solving quantum physics and you're still just autocompleting text? Shameful!"

ChatGPT might have a gun, but Linux users show up with a rocket launcher. That's the difference between asking AI for help and spending 15 years compiling kernels from source. Sure, AI can write your fizzbuzz solution, but nothing strikes fear into the heart of technology quite like someone who configures iptables for fun on weekends. The rest of us are just standing in the background wondering if we should learn Rust or just retire early.

Ah, the irony of modern tech! Here's a vintage book teaching "Artificial Intelligence in BASIC" from what looks like the 80s, sitting right next to "EXPERT SYSTEMS" on the bookshelf. Fast forward to 2023, and we're all losing our minds over ChatGPT and friends—billion-dollar AI systems built on Python, a language that would make your CPU cry if you asked it to calculate 2+2 in less than half a second. The cosmic joke is that we've gone from programming AI in languages designed to be "Beginner's All-purpose" to building world-changing models with a language where indentation errors can crash your entire system. Somewhere, this book's author is either laughing hysterically or weeping uncontrollably.

Big AAA studios with infinite budgets slapping AI into everything to "save money" while indie devs are out here actually crafting games with passion and soul. The irony? The billion-dollar companies are cutting corners with generative AI while the solo dev eating ramen in their apartment is hand-crafting every pixel. It's like watching a Michelin-star restaurant serve microwave dinners while the food truck down the street is making everything from scratch. And then the AAA studios wonder why players prefer the indie games that actually feel like someone cared about making them.

The duality of modern developers: initially impressed by shiny new AI features, followed immediately by the desperate search for the "off" button. GitHub Copilot might finish your code, but it also finishes your patience when it confidently suggests the wrong solution for the fifth time in a row. The real 10x developer move isn't using AI—it's knowing exactly when to turn it off.

The corporate world's obsession with AI has reached peak absurdity. Top image: CEO strutting around with sunglasses, basking in the glory of launching "the next revolutionary AI code editor" that probably just autocompletes semicolons. Bottom image: The actual dev team proudly showcasing their groundbreaking innovation—a new theme, one lonely extension, and the same VS Code we've been using since forever. Because why fix what's profitable when you can just slap "AI" on the marketing slides and watch the venture capital roll in?