Four Hours Of Coding

Tech companies really thought they'd save money by replacing devs with AI. Sure, you're lighter now—you cut off your own leg. Yeah, you can technically "run faster" with less overhead, but good luck when you need to actually, you know, walk . The irony is beautiful: companies are optimizing themselves into oblivion, thinking AI can replace the people who understand the codebase, the business logic, and why that one function has a comment that just says "DO NOT TOUCH - STEVE 2019." Spoiler alert: the AI doesn't know who Steve is, and it's about to touch everything. Nothing says "sustainable business strategy" like sawing off the limbs that got you here in the first place. But hey, quarterly earnings look great!

Content you're an absolute idiot you're absolutely stack overflow wrong ChatGPT you're absolutely right

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.

CS grads are too busy making out with ChatGPT to even glance at CLRS anymore. That legendary algorithms textbook gathering dust while everyone just asks GPT "how do I implement quicksort" for the thousandth time. The book literally shows up like a jealous ex trying to remind you of all those late nights you spent together proving time complexities and understanding dynamic programming. But nope, ChatGPT's got that instant gratification and doesn't make you cry over recurrence relations at 3 AM. Fun fact: CLRS (Cormen, Leiserson, Rivest, and Stein) weighs about 3 pounds and costs $100+. ChatGPT is free and won't give you back problems. The choice seems obvious, even if it means you can't actually explain why your sorting algorithm works.

When your CS professor says "implement a sorting algorithm" but you've got an OpenAI API key and zero shame. This dev just created the world's most expensive sorting function by literally asking GPT-4 to be a sorting algorithm! Sure, it works—but imagine burning through API credits to sort [42, 3, 99, 7, 13] when a simple Array.sort() would do the trick. The true innovation here is maximizing both latency AND cost while solving a problem that was figured out decades ago. Congratulations, you've invented O(API) complexity—where the limiting factor is your credit card limit!