Only Thing It Kinda Gets Right

Ah, the modern "programmer" who only knows how to prompt ChatGPT. Nothing says "I've mastered coding" like typing "Write me a function that..." instead of actually learning syntax. Ten years of experience? More like ten minutes of experience with an AI that does the heavy lifting. The rest of us spent years debugging pointer arithmetic while these folks are getting violently rejected at technical interviews the moment someone asks them to reverse a linked list without digital assistance.

Management: "Embrace AI tools to boost productivity!" Team: "Let's use AI to draft hilarious resignation letters!" Nothing says "our workplace is thriving" quite like your entire biomedical research team spending company time crafting fake pirate-themed resignation letters. The irony is just *chef's kiss* - they're technically following orders while simultaneously planning their escape routes. Corporate AI initiatives backfiring into a festival of fantasy quitting scenarios might be the most honest performance review feedback ever delivered.

Nine data professionals standing around watching while one Excel guru does all the actual work. Classic corporate data science theater. The entire AI department, with their fancy degrees and machine learning models, rendered useless by someone who mastered VLOOKUP and pivot tables. That's what happens when you spend $2 million on a data lake but can't figure out how to drain a real one.

The death spiral of Stack Overflow begins! That sharp nosedive right after ChatGPT's release isn't just a graph—it's the sound of millions of developers closing their "how to center a div" tabs. Why spend 20 minutes getting roasted by forum veterans when AI will give you the answer without judging your life choices? Stack Overflow: where questions were answered with "Did you even try Google?" Now we're all asking ChatGPT, "Can you fix my garbage code?" and it politely says "Certainly!" instead of "Delete your IDE."

Behold, the "ML Engineer" who discovered that Python sorts strings alphabetically instead of numerically! The horror! Next breaking news: water is wet. What we're witnessing here is the classic "I didn't read the docs but it's definitely the language's fault" syndrome. Python's sorted() is working perfectly—it's sorting ["9%", "83%", "25%"] as strings, exactly as it should when you give it strings. Pro tip for our aspiring "ML Engineer": try sorted([int(x.strip('%')) for x in a]) next time. Or maybe stick to Excel?

Content Today 6:14 AM dude your job is done for • I just made an entire website with chatGPT wanna see it? sure Read 6:16 AM C: Users\ben\ Downloads\index.html