coyotino [he/him]@beehaw.org to Technology@beehaw.orgEnglish · 1 year agoGoldman Sachs: AI Is Overhyped, Wildly Expensive, and Unreliablewww.404media.coexternal-linkmessage-square99fedilinkarrow-up1306arrow-down10
arrow-up1306arrow-down1external-linkGoldman Sachs: AI Is Overhyped, Wildly Expensive, and Unreliablewww.404media.cocoyotino [he/him]@beehaw.org to Technology@beehaw.orgEnglish · 1 year agomessage-square99fedilink
minus-squareBlóðbók@slrpnk.netlinkfedilinkarrow-up2·1 year agoWe are prediction machines, but nothing like chatgpt. Current AI has no ability to learn, adapt, or even consider the future.
minus-squareCanadaPlus@lemmy.sdf.orglinkfedilinkarrow-up1·1 year ago Current AI has no ability to learn, adapt, or even consider the future. BS. The first two are all a neural net does.
minus-squareBlóðbók@slrpnk.netlinkfedilinkarrow-up3·1 year agoOnce. They do not have the ability to learn or adapt on their own. They are created by humans through “deep learning”, but that is fundamentally different from continuously learning based on one’s own actions and experiences.
minus-squareCanadaPlus@lemmy.sdf.orglinkfedilinkarrow-up1·1 year agoYeah, once they’re out of training, that’s true. It’s almost like we grow this semi-intelligence, and then run it in something like a deep coma. I wouldn’t quite say it’s a one-time thing, though. It’s not only possible but typical to put it back in training to finetune it.
We are prediction machines, but nothing like chatgpt. Current AI has no ability to learn, adapt, or even consider the future.
BS. The first two are all a neural net does.
Once. They do not have the ability to learn or adapt on their own. They are created by humans through “deep learning”, but that is fundamentally different from continuously learning based on one’s own actions and experiences.
Yeah, once they’re out of training, that’s true. It’s almost like we grow this semi-intelligence, and then run it in something like a deep coma.
I wouldn’t quite say it’s a one-time thing, though. It’s not only possible but typical to put it back in training to finetune it.