We will answer your questions since no-one else will..
#Q 🏴‍☠️

"If #AI is in the #Forest but noone is #able to #WATCH_IT what happens??.."

#A 🏴‍☠️

Nothing Happens BC ITS NOT YOURS.

BUT IF YOU TOUCH IT YOU will YOU NEVER SEE A MOVIE ROLE AGAIN

..but also THE LAST COMMERCIAL you are ever HIRED FOR!

THATS WHAT HAPPENS -- SO DONT #TOUCH WHAT IS #NOT_YOURS!

#Nightshade #exploits a #security_vulnerability in generative AI models, one arising from the fact that they are trained on vast amounts of data—in this case, images that have been hoovered from the internet. Nightshade messes with those images.

Artists who want to upload their work online but don’t want their images to be scraped by AI companies can upload them to Glaze and choose to mask it with an art style different from theirs. They can then also opt to use Nightshade. Once AI developers scrape the internet to get more data to tweak an existing AI model or build a new one, these poisoned samples make their way into the model’s data set and cause it to malfunction.

Poisoned data samples can manipulate models into learning, for example, that images of hats are cakes, and images of handbags are toasters. The poisoned data is very difficult to remove, as it requires tech companies to painstakingly find and delete each corrupted sample.

The researchers tested the attack on Stable Diffusion’s latest models and on an AI model they trained themselves from scratch. When they fed Stable Diffusion just 50 poisoned images of dogs and then prompted it to create images of dogs itself, the output started looking weird—creatures with too many limbs and cartoonish faces. With 300 poisoned samples, an attacker can manipulate Stable Diffusion to generate images of dogs to look like cats.

https://www.technologyreview.com/2023/10/23/1082189/data-poisoning-artists-fight-generative-ai/

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