If you feel like it, you can support me :) https://www.buymeacoffee.com/sexystablediffusion https://www.patreon.com/sexy_stable_diffusion
57 notes
·
View notes
Gloved military police officer and young tourist
Uniform unlined black leather gloves
19 notes
·
View notes
ai makes everything so boring. deepfakes will never be as funny as clipping together presidential speeches. ai covers will never be as funny as imitating the character. ai art will never be as good as art drawn by humans. ai chats will never be as good as roleplaying with other people. ai writing will never be as good as real authors
27K notes
·
View notes
After 146 days, the Writer's Strike has ended with a resounding success. Throughout constant attempts by the studios to threaten, gaslight, and otherwise divide the WGA, union members stood strong and kept fast in their demands. The result is a historic win guaranteeing not only pay increases and residual guarantees, but some of the first serious restrictions on the use of AI in a major industry.
This win is going to have a ripple effect not only throughout Hollywood but in all industries threatened by AI and wage reduction. Studio executives tried to insist that job replacement through AI is inevitable and wage increases for staff members is not financially viable. By refusing to give in for almost five long months, the writer's showed all of the US and frankly the world that that isn't true.
Organizing works. Unions work. Collective bargaining how we bring about a better future for ourselves and the next generation, and the WGA proved that today. Congratulations, Writer's Guild of America. #WGAstrong!!!
38K notes
·
View notes
If you feel like it, you can support me :) https://www.buymeacoffee.com/sexystablediffusion https://www.patreon.com/sexy_stable_diffusion
58 notes
·
View notes
A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.
The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission. Using it to “poison” this training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion, by rendering some of their outputs useless—dogs become cats, cars become cows, and so forth. MIT Technology Review got an exclusive preview of the research, which has been submitted for peer review at computer security conference Usenix.
AI companies such as OpenAI, Meta, Google, and Stability AI are facing a slew of lawsuits from artists who claim that their copyrighted material and personal information was scraped without consent or compensation. Ben Zhao, a professor at the University of Chicago, who led the team that created Nightshade, says the hope is that it will help tip the power balance back from AI companies towards artists, by creating a powerful deterrent against disrespecting artists’ copyright and intellectual property. Meta, Google, Stability AI, and OpenAI did not respond to MIT Technology Review’s request for comment on how they might respond.
Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows.
Continue reading article here
22K notes
·
View notes
Fans' attitudes toward AI-generated works
Irissa Cisternino, a PhD candidate of Stony Brook University, is writing their research on topics related to technology, art and fandom. You can participate by filling out a survey and additionally, signing up for an interview. The survey is expected to last until at least the end of April, those, who signed up for the interview, will be contacted later. You need to be at least 18 years old to participate in either, be able to understand and speak English and identify as a fan.
After the completion of the research, it will be accessible as the dissertation of the researcher. If you have further questions, you can contact Irina Cisternino at
[email protected] or Lu-Ann Kozlowsky at
[email protected].
14K notes
·
View notes