Phub 3 Times Higher

Tech companies promising "democratized AI for everyone" until you ask about pricing is the tech industry's oldest bait and switch. Sure, they're "being honest" about making AI available—just conveniently forgetting to mention it'll cost you the equivalent of a car payment. And that awkward moment when the customer actually thanks them for the privilege of being financially drained? Pure Stockholm syndrome that every product manager dreams of.

Remember when we spent hours implementing binary trees and sorting algorithms from scratch? Now there's a line of developers sprinting toward ChatGPT while the "Data Structures & Algorithms" door collects dust. Why bother with Big O notation when you can just prompt engineer your way to a solution? The irony is we still need those fundamentals to understand if ChatGPT's code will crash and burn in production. But hey, who has time for that when deadlines are yesterday?

The great developer migration of 2023 visualized. Massive crowd flocking to ChatGPT while one lonely soul still visits Stack Overflow. Remember when we had to actually read through 15 answers, each starting with "Actually, you shouldn't do it that way" before finding a solution that worked? Now we just ask the AI and get code that's wrong in exciting new ways instead of the familiar old ways. Progress!

Looks like someone's trying to stump ChatGPT with real-world physical tasks. Asking an AI to finish constructing a building is like asking me to fix production bugs without coffee – theoretically possible but practically insane. The construction worker's smug grin says it all – some jobs still require actual hands and a hard hat, not just clever algorithms. No matter how many tokens you feed the model, it's not going to pick up a hammer anytime soon. Next they'll be asking it to fix the office coffee machine or handle those awkward team-building exercises. Some nightmares even AI can't solve.

When you spent years mastering tree inversions in C++ with all those pointer gymnastics, memory leaks, and segmentation faults only to watch some kid ask ChatGPT to do it in 5 seconds. The audacity. The betrayal. Back in my day, we debugged with print statements and cried silently into our mechanical keyboards.

Ah yes, the classic executive who just discovered the term "data science" and now thinks anyone who can run a basic SQL query is suddenly a data scientist. Nothing says "I understand tech" quite like watching someone execute SELECT * FROM table and immediately asking if they should update their LinkedIn to "Senior ML Engineer." Meanwhile, actual data scientists with PhDs in statistics are quietly crying into their Jupyter notebooks.