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The A.I Megathread (LLM , GPT , Development)
MischievousMonkey
Gor bu dëgër
How can it create more jobs? How is it different from any other form of automated technical progress in that regard?
I’m on the opposite side and think more jobs can come out of this.
Plus, if they can move all this intelligence to moving robots, that would be amazing.
Small harmless robots of course
MischievousMonkey
Gor bu dëgër
Lol, just in from one of my subreddits 
Complexion
ʇdᴉɹɔsǝɥʇdᴉlɟ
Once again the level of tech we can now access as civilians is amazing as not long ago this would have cost a lot of dough:
I realised I was wrong after I posted it but too lazy to edit it.I was thinking more on the manufacturing and production lines but realised shyt was already used by robots
It can. There used to be human computers, purely human stock analysts, hand drawn animators, etc.
The insertion of computing into all these industries has created vastly more jobs than their analog equivalents as we see in ibm, quant traders, and pixar.
Rather than see it as a device that can do the work of two people "so now im free to fire those pesky employees " , i (and many bussinesses) see it as "i can give this to my existing employees and double their productivity through scale" . This says nothing of side industries that will be created inproving and servicing the various forms of AI automation. For example, i studied computer engineering in college years ago, and the emergence of AI and machine learning has created a flourishing of linear algebra in a way that wasnt there when i started out because that is field of math that was nicher&d or game design) until it was needed to support these AI algorithms.
MischievousMonkey
Gor bu dëgër
I don't know much about job creation in the areas you describe, so I'll take your word for these specific parts.
But as far as computing goes for productivity in general, I think this is different from what we have here with A.I..
The Solow paradox showed that computers, in general, didn't have much of an effect on productivity (except in the 90s) because of several factors that AI probably won't have to face.
Why Computers Didn’t Improve Productivity
Even if we put that aside, it seems counterintuitive economically, at least to me, that such economies of scale wouldn't have adverse effects on job creation, unless we suppose that constantly higher production will accompany the development and introduction of this technology in companies. And it may very well be the case in some markets where demand keeps growing fast (entertainment for example, since you used the example of hand drawn animators benefitting from computing).
For other markets though, I don't see how it won't prevent job creation. If I take the example of the overloaded engineers in my current company that can't get it to hire more despite risks of burnouts, I wouldn't see a newcomer step through the door any time soon if what was 150% of individual load became 80% thanks to AI. Matter of fact, they'd indeed get rid of folks as they do it routinely according to projected needs.
And I doubt the creation of AI-related jobs would compensate for the tremendous impact this technology has the potential to inflict for markets with relatively constant demand.
Prompt elaboration might turn out to be the great equalizer
This artist is dominating AI-generated art. And he’s not happy about it.
Greg Rutkowski is a more popular prompt than Picasso.
www.technologyreview.com
by Melissa Heikkiläarchive page
September 16, 2022
This artist is dominating AI-generated art. And he’s not happy about it.
Greg Rutkowski is a more popular prompt than Picasso.Those cool AI-generated images you’ve seen across the internet? There’s a good chance they are based on the works of Greg Rutkowski.
Rutkowski is a Polish digital artist who uses classical painting styles to create dreamy fantasy landscapes. He has made illustrations for games such as Sony’s Horizon Forbidden West, Ubisoft’s Anno, Dungeons & Dragons, and Magic: The Gathering. And he’s become a sudden hit in the new world of text-to-image AI generation.
His distinctive style is now one of the most commonly used prompts in the new open-source AI art generator Stable Diffusion, which was launched late last month. The tool, along with other popular image-generation AI models, allows anyone to create impressive images based on text prompts.
For example, type in “Wizard with sword and a glowing orb of magic fire fights a fierce dragon Greg Rutkowski,” and the system will produce something that looks not a million miles away from works in Rutkowski’s style.
MS TECH VIA STABLE DIFFUSION
MS TECH VIA STABLE DIFFUSION
But these open-source programs are built by scraping images from the internet, often without permission and proper attribution to artists. As a result, they are raising tricky questions about ethics and copyright. And artists like Rutkowski have had enough.
According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski’s name has been used as a prompt around 93,000 times. Some of the world’s most famous artists, such as Michelangelo, Pablo Picasso, and Leonardo da Vinci, brought up around 2,000 prompts each or less. Rutkowski’s name also features as a prompt thousands of times in the Discord of another text-to-image generator, Midjourney.
Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn’t his.
“It’s been just a month. What about in a year? I probably won’t be able to find my work out there because [the internet] will be flooded with AI art,” Rutkowski says. “That’s concerning.”
Stability.AI, the company that built Stable Diffusion, trained the model on the LAION-5B data set, which was compiled by the German nonprofit LAION. LAION put the data set together and narrowed it down by filtering out watermarked images and those that were not aesthetic, such as images of logos, says Andy Baio, a technologist and writer who downloaded and analyzed some of Stable Diffusion’s data. Baio analyzed 12 million of the 600 million images used to train the model and found that a large chunk of them come from third-party websites such as Pinterest and art shopping sites such as Fine Art America.
Many of Rutkowski’s artworks have been scraped from ArtStation, a website where lots of artists upload their online portfolios. His popularity as an AI prompt stems from a number of reasons.
GREG RUTKOWSKI
First, his fantastical and ethereal style looks very cool. He is also prolific, and many of his illustrations are available online in high enough quality, so there are plenty of examples to choose from. An early text-to-image generator called Disco Diffusion offered Rutkowski as an example prompt.
Rutkowski has also added alt text in English when uploading his work online. These descriptions of the images are useful for people with visual impairments who use screen reader software, and they help search engines rank the images as well. This also makes them easy to scrape, and the AI model knows which images are relevant to prompts.
Stability.AI released the model into the wild for free and allows anyone to use it for commercial or noncommercial purposes, although Tom Mason, the chief technology officer of Stability.AI, says Stable Diffusion’s license agreement explicitly bans people from using the model or its derivatives in a way that breaks any laws or regulations. This places the onus on the users.
Some artists may have been harmed in the process
Other artists besides Rutkowski have been surprised by the apparent popularity of their work in text-to-image generators—and some are now fighting back. Karla Ortiz, an illustrator based in San Francisco who found her work in Stable Diffusion’s data set, has been raising awareness about the issues around AI art and copyright.Artists say they risk losing income as people start using AI-generated images based on copyrighted material for commercial purposes. But it’s also a lot more personal, Ortiz says, arguing that because art is so closely linked to a person, it could raise data protection and privacy problems.
“There is a coalition growing within artist industries to figure out how to tackle or mitigate this,” says Ortiz. The group is in its early days of mobilization, which could involve pushing for new policies or regulation.
One suggestion is that AI models could be trained on images in the public domain, and AI companies could forge partnerships with museums and artists, Ortiz says.
“It’s not just artists … It’s photographers, models, actors and actresses, directors, cinematographers,” she says. “Any sort of visual professional is having to deal with this particular question right now.”
Currently artists don’t have the choice to opt in to the database or have their work removed. Carolyn Henderson, the manager for her artist husband, Steve Henderson, whose work was also in the database, said she had emailed Stability.AI to ask for her husband’s work to be removed, but the request was “neither acknowledged nor answered.”