I’m not gonna go too deep into it because I’m not qualified to, but I think the issue currently at hand, is that we’re throwing stuff at the wall to see what sticks. Most of the AI models currently used in different branches are being used because they showed promise in the original problem they were designed for. All these tools you see today were more or less designed over than 30 years ago. There’s a lot of interesting stuff being done at an academic level today but we (understandably so) don’t see those in an everyday conversation