#artificial artificial intelligence

[alibis-and-wine]

“what you’re proposing would be the end of generative AI—”

[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

[mostly-funnytwittertweets]

[why-ai]

[mckitterick]

no need to visit that page (unless you have a good adblocker - in which case it's worth a laugh)

basically it's some redundant tripe about "water pretty" and then a list of words related to water... including about 40 that just say "pebble" 🤣

just found the WORST ai slop article imaginable just scroll down until you see it

[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.

[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

[purpleartrowboat]

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

[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!!!

[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.

[bfpnola]

UPDATE! REBLOG THIS VERSION!

[ayo-edebiri]

Despicable Me 4 - Minion Intelligence (Big Game Spot)

[phildumphy]

So it turns out that ChatGPT not only uses a ton shit of energy, but also a ton shit of water. This is according to a new study by a group of researchers from the University of California Riverside and the University of Texas Arlington, Futurism reports.

Which sounds INSANE but also makes sense when you think of it. You know what happens to, for example, your computer when it’s doing a LOT of work and processing. You gotta cool those machines.

And what’s worrying about this is that water shortages are already an issue almost everywhere, and over this summer, and the next summers, will become more and more of a problem with the rising temperatures all over the world. So it’s important to have this in mind and share the info. Big part of how we ended up where we are with the climate crisis is that for a long time politicians KNEW about the science, but the large public didn’t have all the facts. We didn’t have access to it. KNOWING about things and sharing that info can be a real game-changer. Because then we know up to what point we, as individuals, can have effective actions in our daily lives and what we need to be asking our legislators for.

And with all the issues AI can pose, I think this is such an important argument to add to the conversation.

Edit: I previously accidentally typed Colorado instead of California. Thank you to the fellow user who noticed and signaled that!

[mostly-funnytwittertweets]

[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