Representative take:
If you ask Stable Diffusion for a picture of a cat it always seems to produce images of healthy looking domestic cats. For the prompt “cat” to be unbiased Stable Diffusion would need to occasionally generate images of dead white tigers since this would also fit under the label of “cat”.
I did not expect to get back to my laptop late on a friday and see someone “Well Akshoewally, If You Just Sing Gentle Sweet Songs To The Prompt then you get the socks you wanted”
but I guess the orange site had a spillover and has me covered today!
leading to the obvious question: if putting the words “best, good, high quality” in your generative AI prompt isn’t a placebo, then why is all the AI art I’ve seen absolute garbage
I forget where I saw it, but the phrase/comparison stuck with me and I think of it often: all of this shit is a boring person’s idea of interesting
but the “just slap some prompt qualifiers on it (to deal with the journalists)” …god. it is of course entirely unsurprising to have an orange poster be so completely assured of their self-correctness to not even question anything, but the outright direct “just dress it up in vibes until they shut up”
you just have to wonder what (and who?) else in their life they treat the same way
Agh this is such a good way of putting it. It has all the signifiers of a thing that has a lot of detail and care and effort put into it but it has none of the actual parts that make those things interesting or worth caring about. But of course it’s going to appeal to people who don’t understand the difference between those two things and only see the surface signifiers (marketers, executives, and tech bros being prime examples of this type of person)
ETA: and also of course this explains why their solution to bias is “just fake it to make the journalists happy.” Why would you ever care about the actual substance when you can just make it look ok from a distance
it was from a post around the time when dall-e and such were first catching social hype, I think. iirc the article was touching specifically on the output product of visual generators
if I find the article again I’ll link it
Ah, but have you considered how much worse they could be if they weren’t prompted with “high quality, masterpiece, best”?
all of my generative AI results have been disappointing because I didn’t give it the confidence it needed to succeed
One of the reasons I dislike this technology so much is that some of the ridiculous tricks actually (sometimes, sort of) work. But they don’t work for the reasons the interface invites the user to think that they do, they don’t work reproducibly or consistently, so the line between “getting large neural networks to behave requires strange tricks” and pure cargo-cult thinking is blurred.
I have no idea what exactly went into the training sets of Midjourney (or DALL-E), except that it’s probably safe to assume it’s a set of (image, text) pairs like the open source image generators. The easy thing to put in the text component is the caption, any accessibility alt-text the image might have, and whatever a computer vision system decides to classify the image as. When the scrapers appropriate images from artists’ forums, personal webpages and social media accounts, they could then also scrape any comments present, process them and put some of them into the text component as well. So, it’s entirely possible that 1. there are some of the images the generator saw during training that had “masterpiece”, “great work” etc. in the text component, and 2. there is a statistically significant correlation between those words being present in the text, and the image being something people like looking at. So, when the generator is trying to pull images out of gaussian noise, it’ll be trying to spot patterns that match “masterpiece-ness” if prompted with “masterpiece”. Clearly this doesn’t work consistently - eg. if the generator has never seen a masterpiece-tagged painting of a snake, it’s not at all obvious that its model of “masterpiece-ness” can be applied to snakes at all. Neural networks infamously tend to learn shortcuts rather than what their builders want them to learn.
Even then, most of it still looks like the result of a mugging in the Uncanny Alley. There’s almost always something “off” about it, even when it is technically impressive. Details that make no sense, weird lighting, shadows and textures, and a feeling of “eeriness” that I’d probably have the vocabulary to describe if I were a visual artist.
(PS: Does the idea of using well-intentioned accessibility features and kind words to artists to create a machine intended to destroy their livelihood make you feel a bit iffy? Congratulations, you are probably not a sociopath.)
I checked their other replies. I shouldn’t have.
you’d think I’d learn by now
“best, good, high quality, huge tits, mahoosive bazongas, boobs, popular on artstation”
did you see the thing on 404media with the genai girlfriend service that’s already serving out totally batshit outputs?
deleted by creator
I looked up the article and, well,
no part of my brain is surprised that the porn AI grifters pivoted straight from NFTs and VR masturbation aids, but I am somewhat surprised at how readily they admitted it, given how many AI cultists we’ve already met who used all the terminology and rationalizations of crypto grifters but suddenly fell silent when we asked them how much money they lost gambling on the crypto bubble when it burst
@dgerard @froztbyte “ships from China in 12-14 days”
Amazing as that wasn’t your point or why the post was bad.
you : ow god they said ‘get rid of racial profiling by more profiling and adding secret prompts’
reply : ‘you can change prompts, this can improve things!’
But yeah weird guy, looking at their other posts on lemme banning them was a good move.