On My Way To Burn Billions For AGI

Oh, the sweet innocence of "I made a website with ChatGPT" followed by sending a local file path instead of a URL. That's like telling someone you're a chef because you microwaved a Hot Pocket. What we're witnessing here is the beautiful collision of Dunning-Kruger effect and file system confusion. Our friend thinks they've launched the next Facebook when they've really just saved an HTML file to their downloads folder. No server, no hosting, just pure unbridled confidence. The Windows file path is just *chef's kiss* perfect - nothing says "I'm a web developer" like trying to share C:\Users\ben\Downloads\index.html through iMessage.

Ah, the classic Medium experience. Shows up all excited with pizza (free articles), only to discover the place is literally on fire with paywalled content, AI garbage, and people yelling at each other about tech stacks. Yet we keep coming back like digital masochists. The "Stop using X" articles are particularly chef's-kiss terrible—written by someone who used the technology for exactly 37 minutes before declaring it "fundamentally broken."

We've reached the point where developers have outsourced their entire debugging workflow to ChatGPT and Claude. Just paste the error, stare intensely at the screen like you're summoning ancient spirits, and wait for the AI overlords to fix your mess. Gone are the days of actually reading stack traces or understanding what your code does. Why waste time learning when you can just vibe check your way through production? The LLM becomes your personal debugger, therapist, and rubber duck all in one. Honestly though, we've all been there. Sometimes you just want the answer without the journey. But remember: the LLM is just guessing based on patterns. It doesn't actually run your code or understand your specific context. So when it confidently tells you to add await to a synchronous function, maybe take a second to think it through.

Tech companies: "Our revolutionary AI will transform your workflow and boost productivity!" *five minutes later* "How dare you use AI to solve our fizzbuzz test? That's cheating!" The corporate hypocrisy meter just broke. They want you to buy their AI products but heaven forbid you use them to bypass their archaic hiring rituals.

That moment when a children's chair has better edge detection than your 3000-line image processing algorithm. Spent two weeks optimizing your code only to be outperformed by a piece of furniture from Blues Clues. The black outline is just mocking your gradient descent functions at this point.

Management's brilliant solution to years of accumulated technical debt: deploy another AI agent. Because nothing says "we understand the problem" quite like throwing a shiny new tool at a codebase held together by duct tape and prayer. Meanwhile, Steiner—who's probably been telling them for months they need to refactor—sits there with the calm resignation of someone who knows exactly how this ends. Spoiler: it doesn't end well. The AI will probably generate more spaghetti code, introduce three new dependencies that conflict with existing ones, and somehow break production on a Friday at 4:55 PM.