Davriellelouna@lemmy.world to Technology@lemmy.worldEnglish · 7 months agoTo explore AI bias, researchers pose a question: How do you imagine a tree?news.stanford.eduexternal-linkmessage-square19linkfedilinkarrow-up178arrow-down12
arrow-up176arrow-down1external-linkTo explore AI bias, researchers pose a question: How do you imagine a tree?news.stanford.eduDavriellelouna@lemmy.world to Technology@lemmy.worldEnglish · 7 months agomessage-square19linkfedilink
minus-squareAll Ice In Chains@lemmy.mllinkfedilinkEnglisharrow-up2·7 months agoIn theory something similar could be done with enough training. Guess what that would cost. Does enough clean water and energy exist to train it? Probably best not to find out, but techbros will try.
minus-squarewetbeardhairs@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up3·7 months agoI don’t think a logical system like an ontology is really capable of being represented in neural networks with any real fidelity.
minus-squareAll Ice In Chains@lemmy.mllinkfedilinkEnglisharrow-up2·7 months agoWell it does great with completely illogical systems. I wonder if one can be used for a random seed? 🤔
In theory something similar could be done with enough training. Guess what that would cost. Does enough clean water and energy exist to train it? Probably best not to find out, but techbros will try.
I don’t think a logical system like an ontology is really capable of being represented in neural networks with any real fidelity.
Well it does great with completely illogical systems. I wonder if one can be used for a random seed? 🤔