doodle by my bestie @hazelpiney

andréa/andi - 26 - 🇵🇭🇪🇸
queer trans dragoness from the sunny tropics, figurehead monarch of a kingdom of kobolds,
ace flier both in the cockpit and on the wing,
typically found sipping a cup of vietnamese coffee atop a hoard of plushies.
☕🐉🌴
Big nerd about SF/F, aviation, tabletop, mech media, and much, much more.
Far too many hobbies. Mostly SFW.
One of them therian creature folk 🐉 ΘΔ
Keeps turning people into dragons, if it happens to you, you're welcome.
"the Chuck Tingle of dragon TF fiction" - @apoapsis
CESA's high altitude atmospherics research platform dragon
Certified fries enjoyer 🍟 🐉
she/her; other pronouns are secret unlockables ;3
dragon of many shapes; often anthro, often a dragon-jakkai (the horns stay on)
officially mocha flavored
possesses Eel Magnetism
friend to yinglets everywhere
"only" the size of a small plane
too many forms and too many chuuni ass fighting styles
horny for being the hot robot girl
tail ornament enthusiast
NRX-044 Asshimar my beloved
sword lesbian, alternately of the agile, lightweight one-handed blade or fuckoff zweihander variety
battle theme DEFINITELY has flamenco guitar
reviews:
"the most dragon to ever dragon"
"dresses like a touhou character"
"horns were fun to draw"
"tailfan is some of the best in the business"
"came for the worldbuilding, stayed for the dergposting"
"exceptionally kissable"
❤️ 🌟 starlight @Ehksidian 🌟 ❤️
❤️ ⛈️ little spark @bolibob2 ⛈️ ❤️
asks open; please ask me questions i like it :3
icon by princessnapped
doodle by my bestie @hazelpiney
"Listen, I love getting to swing this hammer around, but I don't do it for free. This walking fortress can't burn nobles' gratitude for fuel, either."
This month's patreon sketch by Knucklebone!
I really need to get her fantasy mech drawn some time 😭 I'm also just imagining what a nightmare those sleeves would be in any sort of machine cockpit, but they look cool and that's the important thing.
Based on this meme I stumbled across that immediately went into my Dori folder. The background painting can be found here!
A collection of other high quality Dori memes while I'm in this mood :P
abso fucking lutely not
My guess is that they did something like my 2023 paper with the UBC crew:
https://www.cs.ubc.ca/labs/imager/tr/2022/SubpixelDeblurring/
We looked at upsampling old pixel art in the context of de-blurring it. Our approach combines an initial upsampling (d) based on pix2pix (see: https://phillipi.github.io/pix2pix/ if you want the gritty details); a classical, non-AI algorithm then cleans the results (e). The paper claims "a few hundred hand-drawn sprites" and remastered versions created by rescanning the original assets were used. We got good results with 145 pieces of clip-art in the training set; 300 is more than enough. No extra random data sets from the Internet required.
"AI", to my mind, encompasses a lot of things. In the case of Broken Sword, and my paper, it's really not "AI" in the sense of an LLM trained on scraping the internet; instead, it should be read as "a very complex non-linear upsampling and convolution kernel filter" that is specifically optimized based on the target domain you're trying to work from. In that sense, it's much more about numerical optimization. It's not "shove everything into a tuned stable diffusion model and then fine tune it on your 300 inputs/outputs", mainly because despite what the stable diffusion model people want you to believe, this doesn't actually work.
So: what are the ethics of this?
No random data is being scraped from the Internet (presumably; I can only speak for myself here.) I am not a fan of papers or academic work that do this; I have loudly complained about a number of "data set" papers that just scrape vast quantities of models and publish the lot in a package with the idea that this is now a 'cleansed' training set. However, let us assume this is not the case here, because technically speaking I don't think it is. I may be wrong, in which case all bets are off: data scraping is contemptible. But I don't think I'm wrong.
Should artists have been hired, and were they put out of business by a machine? Maybe. I think we lost this fight some time in the Victorian era, and energy spent relitigating it is better spent overthrowing capitalism. Similarly, presumably the Broken Sword work was done either under an employment contract or as work-for-hire, at which point the original animator has no legal rights to the work, in the sense of copyright.
The question, therefore, is whether or not the animator has moral rights, and there are two standards for this in Canadian law. First, the integrity rights portion of moral rights mean that the author has the ability to preserve the intended meaning of the work and protect it from destruction or defamation. Second, and importantly, the alteration of a work in good faith to preserve its intended meaning or nature is not considered an infringement of moral rights under Canadian copyright law. There is a good summary of this over at the Heer Law blog: https://www.heerlaw.com/moral-rights-copyright-law - and I quote:
Canadian courts first examined the issue of moral rights infringement in Snow v. Eaton Centre Ltd., (1982) 70 C.P.R. (2d) 105 (Ont. H.C.J.). In this case, the Toronto Eaton Centre was found liable for infringing the plaintiff’s moral rights for putting festive ribbons on the plaintiff’s sculpture depicting sixty geese. The plaintiff argued that this modification was prejudicial to his reputation and compared it to “putting a wristwatch on Michelangelo’s David or earrings on the Venus de Milo.” The Ontario High Court of Justice—weighing the plaintiff’s opinion together with the opinions of other artists who were knowledgeable in the field—found that the plaintiff’s concern for his reputation was reasonable. The Court granted an injunction to compel the removal of the ribbons from the necks of the geese.
In 2003, the Ontario Superior Court of Justice considered the topic of moral rights again in a case between a photographer and a golf club, Ritchie v. Sawmill Creek Golf & Country Club Ltd. The photographer alleged his moral rights in his photographs displayed on the golf club’s website were infringed by the photos being enlarged beyond the size in which he provided them, and by his name having been removed from them. The court found the first argument unconvincing as the photos were not so enlarged as to be of markedly reduced quality and damaging to the plaintiff’s honor and reputation. As for the photographer’s moral rights of association “where reasonable in the circumstances” with his work, the court considered that, following a complaint to the RCMP that the golf club had infringed his copyright, it was no longer reasonable for the plaintiff to believe the club would continue to associate him with the photographs on their website.
So the question is: is this geese, or is this photographic enlargement?
I think ultimately this is going to be a question for the courts, which will be really interesting once we get there. Consider, if you will: we threw a mode into Dungeons of Dredmor which lets you upsample the original (drawn originally at far too small a resolution, because when we started game development I had a 1024x768 CRT monitor) sprites. One of those modes runs them through HQX, an upsampling filter developed by Max Stepin; the other mode is nearest-neighbour. Does HQX destroy the artistic integrity of the work? And assuming your ML model is entirely sourced from works you own or created, it is essentially applying a set of fixed transforms or rules to the input pixel art - is that any different than HQX, and if so how?
(I don't claim to have the right answers to this, by the way, and I do agree with Aura's original point that Polygon should not report this sort of thing uncritically. Poor media reporting around AI means that people can get away with "bad practices". But that doesn't mean there aren't "good practices", and achieving some sort of sensible ML praxis means we should ideate what the "good practices" are.)
I think there's been a lot of conflation of all forms of "AI" including upscaling algos etc with the datascrapy LLM shit that people are rightfully mad at
we're still figuring out what's right and isn't, but I think an important part of sorting through it is demystifying machine learning as a concept. I feel like the popular conception of it has really become just "job/art stealing black box" without understanding the very legitimate research into e.g. image upscaling and analysis that the image generator programs were originally a silly side project off of