Well this took me almost exactly a month longer than i planned but it's finally done
I thought i'd be done in a week or two max but then i just kept adding things i didn't even know how to draw
Like any kind of background. I genuinely think this might be one of the first proper backgrounds i've ever drawn and i'm really surprised and so proud of how well it turned out
Anyways, here is my long overdue addition to the probably mountain of fan art for the end of @ayviedoesthings insanely cool dragon hrt story
I fucking love dragons and the whole therian/otherkin hrt trend (idk what else to call it, pls correct me, calling it a trend feels wrong but i can't think of anything else) is so fucking cool >^w^<
Turned out a lot more purple than i originally planned but i like it
I gave them a beak cause from the side their snout looks like it ends in a little bit of a beak and when i tried it it looked cool so kept it
Also there's a little smiley hidden somwhere so see if you can find it :3
Abstract The frozen mummy of the large felid cub was found in the Upper Pleistocene permafrost on the Badyarikha River (Indigirka River basin) in the northeast of Yakutia, Russia. The study of the specimen appearance showed its significant differences from a modern lion cub of similar age (three weeks) in the unusual shape of the muzzle with a large mouth opening and small ears, the very massive neck region, the elongated forelimbs, and the dark coat color. Tomographic analysis of the mummy skull revealed the features characteristic of Machairodontinae and of the genus Homotherium. For the first time in the history of paleontology, the appearance of an extinct mammal that has no analogues in the modern fauna has been studied. For more read here: https://www.nature.com/articles/s41598-024-79546-1
OH MY GODD??????
Studies from Jaws because I am not immune to the Spielberg Sauce
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.
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