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Taken together, 'This Waifu does not exist' and 'This snack does not exist' may well put you off eating snacks while looking at Waifu faces. For life. "Mollus

Taken together, 'This Waifu does not exist' and 'This snack does not exist' may well put you off eating snacks while looking at Waifu faces. For life. "Mollusc Tentacles' Purée Supplemented Pretzles". "Dothraki horse-heart gummy bears". Etc.

TMWNN 6y ago
If a real-life fatal basilisk image (https://en.wikipedia.org/wiki/BLIT_(short_story) https://en.wikipedia.org/wiki/BLIT_(short_story) ) is possible, it will be created by something like this. The method is akin to how it is developed in the prequel story: An AI that is adversarially trained and accidentally produces a visual effect that crashes human brains.
- tetris11 6y ago
  We are likely already vaccinating ourselves against them though, as we all experience the development of these weapons at each iteration. It might be a watching a kettle boil situation. The poor bastards who who arent exposed to the internet everyday are likely going to need some protection though.
- pantalaimon 6y ago
  There is the McCollough effect, which while not fatal, does have a long effect on the brain. https://en.wikipedia.org/wiki/McCollough_effect https://en.wikipedia.org/wiki/McCollough_effect https://youtu.be/Wm8ZoVQ_OJo https://youtu.be/Wm8ZoVQ_OJo
  - TMWNN 6y ago
    Thanks for pointing that out. Another is the https://en.wikipedia.org/wiki/Tetris_effect https://en.wikipedia.org/wiki/Tetris_effect .
- qayxc 6y ago
  > An AI that is adversarially trained and accidentally produces a visual effect that crashes human brains. I very much doubt that would be possible in general. OTOH why using the cumbersome method of training an AI for that? Stroboscopes and flashing lights work perfectly well for a portion of the general population already ;)
gwern 6y ago
To be fair to TWDNE, just generating random faces is among the least interesting use-cases, and one could do better than TWDNE with some more work. For example, here is a demonstration of how the new model averaging/transfer tricks let you convert a face from human to anime to fox to pony to furry in any direction by any percentage (summing to 100%): https://twitter.com/arfafax/status/1296084902928986113 https://twitter.com/arfafax/status/1296084902928986113 (And since you can encode any pre-existing photograph into the human face model, you can do things like "what if Barack Obama but only 60% human and 20% fox and 10% anime and 10% My Little Pony?" Impossible-sounding, yet, there you have it.) The pony/furry models are the same ones used for http://thisfursonadoesnotexist.com/ http://thisfursonadoesnotexist.com/ and https://thisponydoesnotexist.net/ https://thisponydoesnotexist.net/ , incidentally. (TFDNE/TPDNE came out much nicer than TWDNE because of better cropping/aligning, longer training runs on entire TPU pods rather than a few GPUs, and transfer learning.) We're also still working on BigGAN for generating entire anime images. An older model: https://www.gwern.net/Faces#danbooru2019e621-256px-biggan https://www.gwern.net/Faces#danbooru2019e621-256px-biggan Samples from a current training run: https://cdn.discordapp.com/attachments/693736350561861633/780096939261821008/individualImage.png https://cdn.discordapp.com/attachments/693736350561861633/78... https://cdn.discordapp.com/attachments/693736350561861633/780096682230022184/individualImage.png https://cdn.discordapp.com/attachments/693736350561861633/78... We had mostly given up, but recently discovered that random cropping was the reason our runs were taking forever and were pretty bad; fixed cropping like top cropping works much better.

TMWNN 6y ago

If a real-life fatal basilisk image (https://en.wikipedia.org/wiki/BLIT_(short_story) https://en.wikipedia.org/wiki/BLIT_(short_story) ) is possible, it will be created by something like this. The method is akin to how it is developed in the prequel story: An AI that is adversarially trained and accidentally produces a visual effect that crashes human brains.

tetris11 6y ago
We are likely already vaccinating ourselves against them though, as we all experience the development of these weapons at each iteration. It might be a watching a kettle boil situation. The poor bastards who who arent exposed to the internet everyday are likely going to need some protection though.
pantalaimon 6y ago
There is the McCollough effect, which while not fatal, does have a long effect on the brain. https://en.wikipedia.org/wiki/McCollough_effect https://en.wikipedia.org/wiki/McCollough_effect https://youtu.be/Wm8ZoVQ_OJo https://youtu.be/Wm8ZoVQ_OJo
- TMWNN 6y ago
  Thanks for pointing that out. Another is the https://en.wikipedia.org/wiki/Tetris_effect https://en.wikipedia.org/wiki/Tetris_effect .
qayxc 6y ago
> An AI that is adversarially trained and accidentally produces a visual effect that crashes human brains. I very much doubt that would be possible in general. OTOH why using the cumbersome method of training an AI for that? Stroboscopes and flashing lights work perfectly well for a portion of the general population already ;)

gwern 6y ago

To be fair to TWDNE, just generating random faces is among the least interesting use-cases, and one could do better than TWDNE with some more work. For example, here is a demonstration of how the new model averaging/transfer tricks let you convert a face from human to anime to fox to pony to furry in any direction by any percentage (summing to 100%): https://twitter.com/arfafax/status/1296084902928986113 https://twitter.com/arfafax/status/1296084902928986113 (And since you can encode any pre-existing photograph into the human face model, you can do things like "what if Barack Obama but only 60% human and 20% fox and 10% anime and 10% My Little Pony?" Impossible-sounding, yet, there you have it.) The pony/furry models are the same ones used for http://thisfursonadoesnotexist.com/ http://thisfursonadoesnotexist.com/ and https://thisponydoesnotexist.net/ https://thisponydoesnotexist.net/ , incidentally. (TFDNE/TPDNE came out much nicer than TWDNE because of better cropping/aligning, longer training runs on entire TPU pods rather than a few GPUs, and transfer learning.) We're also still working on BigGAN for generating entire anime images. An older model: https://www.gwern.net/Faces#danbooru2019e621-256px-biggan https://www.gwern.net/Faces#danbooru2019e621-256px-biggan Samples from a current training run: https://cdn.discordapp.com/attachments/693736350561861633/780096939261821008/individualImage.png https://cdn.discordapp.com/attachments/693736350561861633/78... https://cdn.discordapp.com/attachments/693736350561861633/780096682230022184/individualImage.png https://cdn.discordapp.com/attachments/693736350561861633/78... We had mostly given up, but recently discovered that random cropping was the reason our runs were taking forever and were pretty bad; fixed cropping like top cropping works much better.