#artificial'

[artistformerlyknownasbutttrumpet]

no i don't want to use your ai assistant. no i don't want your ai search results. no i don't want your ai summary of reviews. no i don't want your ai feature in my social media search bar (???). no i don't want ai to do my work for me in adobe. no i don't want ai to write my paper. no i don't want ai to make my art. no i don't want ai to edit my pictures. no i don't want ai to learn my shopping habits. no i don't want ai to analyze my data. i don't want it i don't want it i don't want it i don't fucking want it i am going to go feral and eat my own teeth stop itttt

[machetesquirrel]

I’m just going to leave this here

[going2hell4everythingbutbeingbi]

chatgpt is the coward's way out. if you have a paper due in 40 minutes you should be chugging six energy drinks, blasting frantic circus music so loud you shatter an eardrum, and typing the most dogshit essay mankind has ever seen with your own carpel tunnel laden hands

[mostly-funnytwittertweets]

[why-ai]

[autisticlittleguy]

There was a paper in 2016 exploring how an ML model was differentiating between wolves and dogs with a really high accuracy, they found that for whatever reason the model seemed to *really* like looking at snow in images, as in thats what it pays attention to most.

Then it hit them. *oh.*

*all the images of wolves in our dataset has snow in the background*

*this little shit figured it was easier to just learn how to detect snow than to actually learn the difference between huskies and wolves. because snow = wolf*

Shit like this happens *so often*. People think trainning models is like this exact coding programmer hackerman thing when its more like, coralling a bunch of sentient crabs that can do calculus but like at the end of the day theyre still fucking crabs.

[zytes]

this manatee looks like it’s in a skyrim loading screen

[coloredcompulsion]

[probablyasocialecologist]

A group of Wikipedia editors have formed WikiProject AI Cleanup, “a collaboration to combat the increasing problem of unsourced, poorly-written AI-generated content on Wikipedia.” The group’s goal is to protect one of the world’s largest repositories of information from the same kind of misleading AI-generated information that has plagued Google search results, books sold on Amazon, and academic journals. “A few of us had noticed the prevalence of unnatural writing that showed clear signs of being AI-generated, and we managed to replicate similar ‘styles’ using ChatGPT,” Ilyas Lebleu, a founding member of WikiProject AI Cleanup, told me in an email. “Discovering some common AI catchphrases allowed us to quickly spot some of the most egregious examples of generated articles, which we quickly wanted to formalize into an organized project to compile our findings and techniques.”

9 October 2024

[paulgadzikowski]

[nando161mando]

They will decide to kill you eventually.

[louistonehill]

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

[gingerswagfreckles]

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!!!

[mostly-funnytwittertweets]

[fanhackers]

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 irissa.cisternino@stonybrook.edu or Lu-Ann Kozlowsky at lu-ann.kozlowski@stonybrook.edu.