ChatGPT Developer

Behold, the tech prophet who ascended to startup glory without understanding a single line of code! The AI startup ecosystem in 2023 is basically just throwing bearded men in togas at venture capitalists. "What's your tech stack?" "Uhhh... vibes?" Meanwhile, actual engineers who've spent decades learning complex algorithms are watching these AI-whisperers raise millions while not knowing GPT from a hole in the ground. Silicon Valley's newest business model: look wise, say "disruption" occasionally, and let the funding rain down upon your magnificent beard. The ancient Greeks had oracles, we have AI founders who let the machines do all the thinking.

The corporate tech evolution in one image! On the left, we have Steve Ballmer's infamous sweaty "DEVELOPERS!" chant from 2000—back when human coders were the golden ticket to success. Fast forward to 2023, and CEOs are now calmly announcing how AI will "revolutionize our lives" while simultaneously telling HR to fire thousands of the same developers they once desperately needed. The tech industry's relationship status with developers: "It's complicated." Yesterday's rockstars are today's budget line items. Nothing says "thanks for building our trillion-dollar empires" quite like being replaced by the very tools you created.

Tech bros with VC money have a unique approach to AI development: just keep burning cash until something works. It's like debugging with a flamethrower. "Have we achieved artificial general intelligence yet?" "No, but we've achieved artificial general bankruptcy quite efficiently." The Silicon Valley strategy of throwing billions at a problem until either the problem gives up or your investors do. Venture capitalists call this "iterative innovation" - normal people call it "setting money on fire while wearing cool sunglasses."

Content Trump: Only 2 genders, Male, and Female

First dev: "I'll just hardcode every single number from 1 to infinity with its even/odd status. Efficiency!" Second dev: "Why use simple modulo math when you can just outsource your basic arithmetic to a GPT model? That's 500KB of code and a $10 API bill to determine if a number is divisible by 2." The evolution of problem-solving in 2023: from hilariously inefficient to absurdly overcomplicated. Because nothing says "modern software engineering" like turning a one-line function into an enterprise-grade AI solution with cloud dependencies. Next week: "IsPositive() function now requires stable internet connection and cryptocurrency wallet."