Yup, they're like raw logic gates that aren't applied to anything at the moment. I think the true application is fairly abstract. Like when we invented cloud,

Yup, they're like raw logic gates that aren't applied to anything at the moment. I think the true application is fairly abstract. Like when we invented cloud, it was just a storage space or shared computer, but eventually evolved into social media and ride-sharing tools. I think LLMs are not a language tool - they're an attention tool. They're a way to purchase attention for cheap. Donkeys were physical labor, then engines, then even better engines. But we've never had something like that for human-like attention until a few years ago. It was only affordable last year. And it's only human-level this year. There's probably a lot of problems you can solve by getting a bunch of silicon to pay attention for what's the equivalent of human hours. And there's probably something emergent once people get used to not having to pay so much attention for long periods of time. They can start assembling things faster, there might be less mistakes, and etc.