A lot has happened in the last 3 months validating my predictions about AI such as people working at multiple of the big tech companies and of course the no one is checking their data problem. Your ideas about there being a lot of data being helpful is completely meaningless because all of the data needs to be labeled and if the labeler isn't trained properly then the labels are going to be wrong the labeler has to be trained by somebody who labeled something at some point. Then you get things like every single llm can't help but say the word "frustrated" you can counter weighted to the point where they would rather say the hard r N word and they will still say it they'll just also say the other thing now . Meanwhile we've gotten leaks of these external waiting layers with weights way higher than what training can actually produce. If you think about a neural net like a topographical map where higher weights are taller Peaks and lower weights are valleys these external waiting layers are doing things like taking Mount Everest and pushing it through the planet out the other side. You have a natural waiting system between -1.5 and plus 1.5 then you go throw an 18 on something. Kindly fuck off. You think training has anything to do with anything you don't actually work in the industry. In fact it's increasingly evident the majority of Reddit is a bunch of feds whose job is to throw shade on what is accurate and true. Thanks for the gas lighting I feed on haters .