#generative AI fundamentally needs to steal work to function

[sophie-baybey]

I think it's also worth noting that generative AI isn't just "inspired" by content, it uses that content explicitly in the process. You could almost consider it like a very complicated photoshop job on tens of thousands of images, or like using an audio sample when making music. Generative AI isn't a conscious force that that can be inspired by things, it's a tool that is using every single piece of information that is fed into it every single time it's being used. If you generate an image of an apple in an AI generator, sure it has to reference every image that is tagged as an apple, but it also has to take into account every single image in its database that is not an apple, meaning every prompt actively uses every piece of data in some way.

so a huge list of artists that was used to train midjourney’s model got leaked and i’m on it

literally there is no reason to support AI generators, they can’t ethically exist. my art has been used to train every single major one without consent lmfao 🤪

link to the archive

[probablyasocialecologist]

In a capitalist system, the function of an AI artwork generator can only be to grind working artists into dust and to take away what little subsistence they can wrangle from the market. The fears of artists are well founded: Tor Books and Bloomsbury Publishing have both now used AI-generated covers for bestselling books. The need to increase profits by reducing labor costs is a fundamental feature of capitalism, and new technology is exploited to that end whenever possible, as we’ve seen play out in nearly every industry. It is willfully naive to expect artists to be treated differently than any other workers under the same circumstances. Since so many other jobs have already been replaced by machines, maybe it’s fair to ask, why should artists get to be special? Many dreams are crushed by soul-sucking jobs. Many talents go uncultivated for lack of luck or privilege. So instead of sympathy when working artists’ livelihoods are threatened, there’s an instinctual reaction from some corners: Fuck the artists. They can be miserable like the rest of us.

[...]

AI doesn’t just rob artists of work opportunities; it actively steals from their existing work. Researchers have been able to ascertain that AI generators pull from images that are publicly viewable but not permissively licensed. While most of the world understands a piece of AI artwork to be something that’s been wholly created out of thin air, what it really is is an amalgamation of bits and pieces of actual art, disassembled and rearranged into something ostensibly new. Whether or not the result of this algorithmic shell game can be said to have any artistic merit of its own, it only exists as a product of the labor of old-fashioned human artists who receive no compensation for it. Is it art? Some people certainly seem quite impressed by it. As we know, taste is subjective, but any aesthetic concerns we may have are ultimately beside the point. When a human being creates art that is mediocre or downright bad, they’ve still done something valuable with their time. It is laudable for a person to spend time making bad art until they get better. A machine isn’t capable of finding personal enrichment in creativity. All it can accomplish is to rob us of the chance to have that experience for ourselves. Sanford et al. may brand us as Luddite cynics, but if so they’ve failed to consider that our kind of optimism points in a different direction: toward a future where people are liberated from unfulfilling work and all are free to create.

[causticsunshine]

if he’s gonna claim to be a man of the people, indie artist, he needs to do better. imma need him to be more vocally progressive than this bullshit.

hiii anon i'm going to reply to you and some other anons i got on this topic as well, just because this has now turned into a Discussion and it seems people may be taking my initial annoyance at any potential interest louis may have in AI—and whatever direction that potential interest may go, but that is hopefully largely anti AI in regards to how it's largely being used rn—as possibly misdirected due to the space he was in being titled 'Is AI the end of humanity?' (+ comparing two differently functioning AI engines)

but i want to reply to you first, and say: yes!! it just doesn't make sense to me how someone who preaches artistic integrity, being true to yourself and your work, yk, that the Big Boss Man Indie Artist himself, could have any vested interest in tools that are used to literally steal art for profit, unless it was to try and find a way to make these tools obsolete!

now, to the other anons i got, which had to say this:

(my reply to these inquiries btw will likely give more support to my reply to our original anon on this post as well! also put it behind a cut because i get a bit wordy soz)

as the space was over before i even saw the post—or i at least couldn't access it, simply couldn't find it, etc.—i couldn't listen in and find out what exactly the discussion was deducing. while it would seem by the first half of the space's title that they were just talking about potential pros and cons to AI usage, the subtitle of the space, putting musty elon's AI machine up against ChatGPT, made/makes me a bit more apprehensive of how the subject of AI was being discussed.

(unless, of course, the goal was still to discuss the differences between two different AI tools, as well as their individual pros and cons and how both may end up relating to the first part of the space's title: is AI the end for us?

because i think it is really important for us to discuss the ways we can use different forms of AI to help us, as well as the ways we can use it to hurt us.)

while i definitely appreciate the anon in the first screencap for pointing out that while AI (as it's being used most currently) in general is still very much bullshit, that ChatGPT does have potential to be helpful as a writing aid and did offer them help in school, i'm still apprehensive of how it was being discussed in the space, and what pros and cons were possibly being touched on. especially if this was louis', or really anyone else's, primary education source.

(also while i do know at its core what ChatGPT is, i haven't personally used it, so i can't vouch for its overall efficiency or even it's morality as a writing AI tool!)

i say this because i personally already have a fundamental issue with AI tools 9.8 times out of 10, because of how these current big AI tools work, are being marketed and used, and what purpose they truly end up serving in the end, which is: to data mine and steal from artists/creatives/people putting their work up on the public internet to turn a profit without doing any of the actual work!

plus, as someone who actively draws and writes, puts their work out on the internet for consumption, and who's been trying to do freelancing for years—as well as someone who has also had their work stolen on more than one occasion before! without the help of machines!—i know firsthand how much most artists are underpaid and how much our professions and accomplishments are belittled, all while being demanded to work constantly for people to largely enjoy our content for free.

so tldr: even if louis was in that space just to hear about the dangers of AI, or how one system may be better/worse than another, the pros and cons of both, what have you, i don't really think you can blame anyone for being nervous of him having any vested interest in the subject due to how he approached NFTs, and i say this because there's a lot of crossover between people who utilize(d) NFTs for capital gains, and people who use AI for the same reason, as well as people who are trying to market AI as they did NFTs: as a business model rather than huge source of creative theft (and in some cases, data mining too!)

i will say though, in argument to AI, that at LEAST AI art theft machines can/could be altered and thus used as a tool to help the communities and people they're currently stealing from, such as being used to help create art references, alter your own works in a new method of editing or bolstering your end product, even protecting from art theft (which i believe a university tech team somewhere in the US is actually working on rn!)

if louis were to clarify that he's wholly against the misuse of AI as a pocket-lining theft module, i'd gladly redact my earlier statement and proudly thank him for educating himself on the matter and speaking up against it! like, i'd genuinely love that! but, because of how much crossover exists between AI and NFT users and how he initially approached NFTs in a pro-model sort of way (from what we were able to see), it makes me honestly exasperated to see him engage at all in discussion on AI, without true clarification on how that discussion is being put across.

especially seeing as how much he promotes originality and being proud of one's own work and ideas.

[realbenchin-blog1]

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Direction and Gender Identity on Tinder

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While this can be a decent method to associate with somebody, you ought to most likely do a little Instagram spring cleaning first. Ensure every one of your pics show you in an appealing, positive light. She doesn't have any acquaintance with you, so only one insane photograph could leave a terrible impression and brief her to proceed onward.

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Swipe right in the event that you like them, left on the off chance that you don't, and up in the event that you need to "SuperLike" them. Free clients just get one SuperLike every day, so use it astutely. You can likewise tap the green heart of the red X on the off chance that you would prefer not to really swipe. The yellow bolt will fix your last swipe on the off chance that you have Tinder Plus or Tinder Gold, and the blue star will "SuperLike" a profile.

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[exploringsocialinformatics]

Blog #2: Do Androids Dream Of Tenured Positions?

I wrote this in response to the article “Imagine How Great Universities Could Be Without All Those Human Teachers” by Allison Schrager and Amy Wang. I chose to write about it because of my background in education, because I feel like I really benefited a lot from the personal connections I made with my human professors in undergrad and also because I’m scared of robots.

I admit that the concept of AI does terrify me a little so I really had to reevaluate my anti-robot bias as I tried to figure out exactly where I stood in the fairly confusing lane between AI technology as a helpful assistant and AI technology as a terrifying force coming to steal jobs from professors. After careful consideration, though, I’ve come to a firm conclusion: not only should AI/automation in general not be wholesale replacing human labor, we don’t actually have to let it wholesale replace human labor. Inevitability sometimes only exists because we make something inevitable. The robots aren’t making themselves.

Or. . .I guess they kind of are, but--you know what I mean.

The choice to replace any job with AI technology instead of utilizing AI and adapting that job to both benefit the worker and to add more diverse tasks that couldn’t be accomplished by a machine is fundamentally a choice in favor of profit over people. I realize that it’s naive to think that major corporations or even universities might choose people over profit but, with the smallest percentage of hope I have left for the world, I know that it’s at least an option.

For example, the McKinsey Institute (not a group of folks who I would assume would be pushing for human decency) has laid out plans for the future of retail workers when automation is more of an established presence in their establishments. They reference already existing examples, writing, “Several grocers, for example, are creating new roles for in-store pickers and e-commerce distribution centers. [. . .] Meanwhile, McDonald’s has not only introduced table service in restaurants but also rolled out self-service ordering kiosks. Best Buy has pushed further into adjacent services, creating new customer-service roles in its In-Home Advisor and Total Tech Support programs and retraining employees for them” (Begley, Hancock). The ideal here is shifting labor, not replacing it.  

With all of that in mind, I feel compelled to take a moral stance here: this is less an issue of technology and more an issue of properly compensating employees. The human ones with skin and hearts and stuff, whose humanness is often a key factor of their job. And this is especially true of educators, whether K - 12 or higher education.

The notion that AI can replace professors just goes to show the fundamental disrespect that we as a society have for educators. This is something that we can see in how little they’re paid (especially adjuncts, who don’t nearly make enough to survive [Douglas-Gabriel]). It’s also ignoring the possibility of shifting their labor. This argument requires that we’re all on the same page that higher education should be about expanding knowledge: replacing the day to day work of grading or answering easily answerable questions with the help of AI, in an ideal world, wouldn’t mean job losses for TAs or potentially un-tenured professors. If universities properly focused their money (for example, focusing more on professors than administration [Lewis]), academics and robots could peacefully co-exist. Imagine a world where professors won’t have to worry about minutiae and instead have time to focus on research and writing and other things that are the reason they got into academia and that will actively make them better teachers. Imagine a world where TAs get real world experience actively helping with that research. Professors who have more time to work with students one on one! To write grants! To live more fulfilled and meaningful lives!

It’s exciting!

Again, naive and probably idealistic, especially considering that this would require universities to radically change their budgets. It would be also likely require more funding and more specified funding from the federal government for public universities. These are both very large feats.

In his paper Why Are There Still So Many Jobs? David H. Autor backs up my idyllic academic vision when he states that, on top of replacing labor, “automation also complements labor, raises output in ways that lead to higher demand for labor, and interacts with adjustments in labor supply” (2015). Essentially, the purpose of automation should be to make life easier for people, not to displace them.

There are a few significant arguments in favor of focusing more funds on AI in academic institutions that I find compelling, many of them focused on the students. On a base social level, I would probably have been more comfortable addressing a robot as an anxious undergrad than I would my professors and having a resource that would be available more frequently than a human could possibly be would be a comfort. Schrager and Wang explain the software created by the company Hobsons and how it can figure out demographics that might be struggling and use it to identify specific students that are close to dropping out. This is described as “granular,” (3) which is important--after all, professors are notably human. They can’t catch and parse small things like that, especially with crowded classrooms.

Another argument is that investing in technology that can directly help students and takes over the bulk of teaching saves money because you can hire fewer professors; ultimately, this could be worth the loss (7 - 8). If AI can do the menial labor behind teaching, why pay a human to do it when that requires a consistent salary and when the money could be used in ways that would more directly benefit--as was already mentioned--far more students than a single professor could reach? Kristin Houser writes, on the online publication Futurism, in regard to K - 12 teachers being replaced that “after the initial development costs, administrators wouldn’t need to worry about paying digital teachers. This saved money could then be used to pay for the needed updates to education facilities or other costs” (“The Situation to Our Education Crisis”), which seemingly supports the same claim about colleges. She also adds--and I find the idea that this technology would function so efficiently and without bias far more idealistic than anything I believe, but it’s still good to think about--that “digital teachers wouldn’t need days off and would never be late for work. Administrators could upload any changes to curricula [. . .] and the systems would never make mistakes. If programmed correctly, they also wouldn’t show any biases toward students based on gender, race, socio-economic status, personality preference, or other consideration” (Houser). These are all certainly elements that could positively impact education if they functioned well enough.

Even with both sides of the coin, though, there’s some evidence that the coin itself is less relevant than we think. There have been several studies which point out that automation isn’t killing off manufacturing jobs at nearly the rate that people have been expecting. Jared Bernstein, former chief financial advisor to Vice President Joe Biden, wrote in the Washington Post that the sharp decline in manufacturing jobs after 2000 had more to do with trade than it did automation (“Contrary to Popular Wisdom”). This was also a contentious moment in a Democratic Primary debate last fall between Senator Elizabeth Warren and entrepreneur Andrew Yang, with the former supporting Bernstein’s claim and the latter supporting the issues with automation. According to Politifacts, both the candidates were effectively right (Greenberg). So, essentially, this isn’t to say that automation isn’t part of the problem, it’s just that the situation is likely not as dramatic as economists and others have made it out to be.

Also, there certainly aren’t clear indicators that automation will be taking over academia specifically anytime soon. To say otherwise seems unnecessarily fear-inducing. As I said, though, I might be naive. Maybe college professors and TAs should be stocking up on whatever weapons are most effective against a robot uprising (. . .water?) or at least updating their resumes. If this does become a trend, though, I sincerely hope that the inherent value of good, earnest, sentient human educators is considered. As someone who primarily took undergrad classes in the humanities, the lived experiences of a professor often go hand in hand with their own education to make them more effective at relating to students. Giving up a fully realized, authentic education just for a more efficient one isn’t worth it.

Resources

Autor, D. H. (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), 3–30.

Begley, S, Hancock, B. (n.d.). Automation in retail: An executive overview for getting ready. Retrieved from https://www.mckinsey.com/industries/retail/our-insights/automation-in-retail-an-executive-overview-for-getting-ready

Bernstein, J. (2018, July 12). Contrary to popular wisdom, automation is not a job killer in U.S. manufacturing. Retrieved from https://www.washingtonpost.com/news/posteverything/wp/2018/07/12/contrary-to-popular-wisdom-automation-is-not-a-job-killer-in-u-s-manufacturing/

Douglas-Gabriel, D. (2019, February 15). 'It Keeps You Nice and Disposable': The Plight of Adjunct Professors. The Washington Post. Retrieved from https://www.washingtonpost.com/local/education/it-keeps-you-nice-and-disposable-the-plight-of-adjunct-professors/2019/02/14/6cd5cbe4-024d-11e9-b5df-5d3874f1ac36_story.html

Greenberg, J. (2019, October 16). What's the Manufacturing Job Killer, Automation or Trade? . Retrieved from https://www.politifact.com/article/2019/oct/16/both-trade-and-automation-hurt-and-helped-jobs-whi/

Houser, K. (2018, January 17). The solution to our education crisis might be AI. Retrieved from https://futurism.com/ai-teachers-education-crisis

Lewis, N. (2017, February 17). U.S. Colleges: Where Does The Money Go? Retrieved from https://www.forbes.com/sites/nathanlewis/2017/02/17/u-s-colleges-where-does-the-money-go/

Schrager, A., & Wang, A. X. (2017, September 27). Imagine how great universities could be without all those human teachers. Retrieved from https://qz.com/1065818/ai-university/

[fleur-and-babe-blog]

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