Are We There Yet

Behold the magnificent journey of a "non-technical" founder going from AI-generated hubris to digital humility in just 48 hours! First tweet: "Look at my amazing no-code SaaS built with AI! Stop complaining and start building! P.S. People actually pay for this!" Two days later: "Help! I'm being attacked! My API keys are maxed out, people are bypassing subscriptions, and my database is a dumpster fire! BTW, I'm not technical so... oops?" The classic tale of finding out that building secure software requires more than just dragging and dropping with Cursor. Turns out "zero hand-written code" also means "zero security considerations." Who could have possibly predicted that?

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.

NVIDIA's marketing department promised DLSS would enhance graphics quality, but apparently nobody told them it shouldn't work backwards . The "without DLSS5" shot shows the classic low-poly Lara Croft from 1996 looking relatively smooth, while "with DLSS5" somehow manages to make her face even more angular and aggressive—like the AI tried to "enhance" the polygons by making them fight each other. DLSS (Deep Learning Super Sampling) is supposed to use AI to upscale lower-resolution images to higher resolutions while maintaining quality. But slapping cutting-edge AI upscaling tech on a game that was built with like 230 polygons total is the equivalent of using a neural network to enhance a stick figure drawing—you're just gonna get a really detailed stick figure that somehow looks worse. The real joke here is that no amount of machine learning can save those 1996-era triangle counts. Some things are better left in their original pixelated glory.

Breaking news: Water is wet! That groundbreaking research revealing 84% of software developers use AI for... *checks notes*... software development. Next up: shocking study finds that 99% of chefs use kitchens to cook food. The circular logic is so perfect you could use it as a replacement for π in your calculations. This is the kind of "insight" that justifies someone's entire market research budget while telling us absolutely nothing we didn't already know.

Content digital VAX 11/780 The Ticketmaster system is a hodge-podge of C and assembler and runs on ancient VMS hardware. The people who developed and maintained it are long since dead and/or retired. It has proven impossible to replace because nothing has been found that can handle thousands of simultaneous purchases as efficiently. The server room that houses the VMS machines has a room where a goat is left every two weeks. The next day, the goat is gone.

The great AI editor migration of 2024 was supposed to be revolutionary. Cursor, Windsurf, Zed with AI superpowers—they all promised to make you 10x more productive with their fancy autocomplete and chat features. You spent hours configuring them, learning new keybindings, dealing with their quirks and occasional hallucinations. But then reality hits: the extensions you need don't exist yet, the AI suggestions are just slightly off enough to be annoying, or the performance isn't quite there. So you crawl back to VS Code, kissing the ground like a soldier returning from war. Sure, it's bloated and Electron-based, but at least your muscle memory works and that one obscure extension you need actually exists. The devil you know beats the devil with a subscription model.