fne8w2ah@lemmy.world to Technology@lemmy.worldEnglish · 1 year agoOpenAI confirms that AI writing detectors don’t workarstechnica.comexternal-linkmessage-square111fedilinkarrow-up1703arrow-down132
arrow-up1671arrow-down1external-linkOpenAI confirms that AI writing detectors don’t workarstechnica.comfne8w2ah@lemmy.world to Technology@lemmy.worldEnglish · 1 year agomessage-square111fedilink
minus-squaresebi@lemmy.worldlinkfedilinkEnglisharrow-up2arrow-down3·1 year agoBecause generative Neural Networks always have some random noise. Read more about it here
minus-squarestevedidWHAT@lemmy.worldlinkfedilinkEnglisharrow-up3·1 year agoIsn’t that article about GANs? Isn’t GPT not a GAN?
minus-squarePetDinosaurs@lemmy.worldlinkfedilinkEnglisharrow-up7arrow-down2·1 year agoIt almost certainly has some gan-like pieces. Gans are part of the NN toolbox, like cnns and rnns and such. Basically all commercial algorithms (not just nns, everything) are what I like to call “hybrid” methods, which means keep throwing different tools at it until things work well enough.
minus-squarebioemerl@kbin.sociallinkfedilinkarrow-up2·1 year agoIt’s not even about diffusion models. Adversarial networks are basically obsolete
Because generative Neural Networks always have some random noise. Read more about it here
Isn’t that article about GANs?
Isn’t GPT not a GAN?
It almost certainly has some gan-like pieces.
Gans are part of the NN toolbox, like cnns and rnns and such.
Basically all commercial algorithms (not just nns, everything) are what I like to call “hybrid” methods, which means keep throwing different tools at it until things work well enough.
It’s not even about diffusion models. Adversarial networks are basically obsolete