Automating creativity is so gross. Never mind the fact that these models are trained on stolen artwork and texts.
Automating creativity is so gross. Never mind the fact that these models are trained on stolen artwork and texts.
I find myself conflicted on this topic as I can see how the makers of yesterday have been replaced by process automation, taking away some of the magic of the creation process. But, just as a frozen meal from Costco has its place, so does AI generated art. The macro level ingredients may be the same, but the final product is different.
Before fast food, the number of chefs and home cooking would have had to be far higher and/or more frequent than now. Some would argue that we are paying the price for all that processed food now, but others would argue it's the only way to scale people's lives and their time.
I agree that something "feels" different about midjourney making artwork that I likely could never make myself, but I'm struggling to fully have a reason or complete reasoning for why. And then I wrestle with, is this a normal evolution problem? Just this time it hit something nearer to me personally and it impacts my life.
Would love to hear other's thoughts on this.
* A digital image is permanent. A meal, by design, is consumed and has a very specific lifespan.
* A digital image is trivial to duplicate and consume again. A meal can be very hard to duplicate (and may even require another chef, or food scientists). No two people can consume exactly the same meal.
* A digital image is not required to survival. Regular intake of food and water is (at least for humans).
and so on.
Frozen-ness is about mass production - but not about the origin of that food. It just conflates unrelated issues.
Art is just something we do and consume for fun. We don't need to make art more efficient, because there is already too much art to consume in a lifetime. Also there is no requirement to consume as much art as possible. And automating art making means that there will be even more average art that anyone interested will have to sift through to find something nice.
Overall all of this effort could be put into automating something that will make everyday life easier, like if you want to make art more accessible then for example automate translations so we can read books or watch movies that we previously couldn't.
[1] https://en.m.wikipedia.org/wiki/Quatuor_pour_la_fin_du_temps
A frozen food is made of real food, the process all starts from scratch with "natural" ingredients (well ingredients).
The frozen food vs fresh cooked food is more like a film vs live acting. Or listening on tape vs a live concert. Even this analogy is lacking, a frozen food is made fresh at some point, it is about mass production not origin and ownership.
The frozen food is not food from your kitchen (or trashcan) remixed and added onto other people's plate.
Trying to take the 'freshness' of food and compare it to storytelling is just an abject failure here as the vaaaaaaaaaaaaaaaaaaaast majority of storytelling has no freshness at all, it's rehashing of the same basic plot elements, hell, was it the Greeks that stated this a few thousand years ago?
there is/was plenty of fresh storytelling in every age
I have seen hundreds of perfect variations on Duchamp's Fountain in my life too. AI Art is very much like Fountain variations without the human Duchamp involved. Then some AI Art fool extrapolating from that and believing Home Depot has an entire section dedicated to museum quality variations on Fountain.
The actual output is a very small aspect of the phenomena of "art".
Do you have any doubt that many working artists' copyrighted work was included in the the training data that produced these systems, without those artists licensing their work for that purpose?
It's not gatekeeping to insist that a project obtain a voluntary license from the people who contribute their work to a project.
And it's not gatekeeping to point out the fact that these platforms have only been successful by using working artists' copyrighted work in violation of their rights, without asking permission or providing compensation.
When somebody brings up the invention of photoshop, they're not trying to disprove a point about paying salaries to the devs, and I am sure you knew that.
When the artists whose work was stolen to train these models are compensated for that work then maybe its a "tiny part". Until then it is taking peoples work and using it to create an ultimate competitor in their own market that they cannot compete with. They now have to compete against themselves and they haven't even been paid for that "privilege".
Rather, the problem is that these systems only exists today because of the involuntary contributions of the very same people who are likely to be put out of business.
It really is about the how the contributors to these systems are being treated. The coders that contributed to Photoshop are analogous to the artists whose work was used to train these models. The difference between them is that the former gave their consent to the contribution, and the latter did not.
That's it, that's the entire post. Never mind the "stolen artwork" argument, you still have people upset about "automating creativity".
So, like I said, it's one part of it.
Saying that I agree with you in that I see this technology as a tool that can be used by humans to make amazing things. No one really has yet as the outputs have just been blunted, sloppy things. But if I’m an artist I see these tools as the latest tool to help make things.
There is a difference between saying something is less than and calling it gross. Also, imho, value of art is usually the art not the process. Sometimes it is the process, like someone showing off a new method but that is of interest to very, very few people. Just like academic papers' methodology section. Even within the larger community, it's useful to only a few people. (Apart from just checking someone's work)
Good human photographers are still a thing. They can even get a job out of it! There are books about photos by photographers of renown.
AI automation here would be more like AI deciding which photos to take, and taking them for you, with your interaction limited to "take some nice photos of my vacation". Then some other AI could give likes to the photo, closing the loop so that humans need not be involved at all in that silliness of photography!
When you're demonstrating or studying a tech (like we're doing with gpt now), there's a tendency to go "here's what it can do." Once people start using it for more mundane work, the focus becomes "here's what I can do with it."
It probably doesn't matter what children's stories language models can write themselves. It matters what stories people can write using them. Same for software/graphic design/law/etc. These are just tech demos.
This becomes clearer once demos play out. 2 years ago, scripting a philosophical debate using language models felt like AIs expressing their opinion. By now, we're past that.
[1] https://twitter.com/galaxykate/status/1583907942834716672
OTOH... using AI to create art shifts around supply and demand such that there will be practical implications. The way email correspondence between A customer and a bank may look very different once both are using GPT enabled email clients.
Thinking more deeply, I find that AI art has no real value to me, though. I wouldn't hang it on my walls or hope it survives for my kids. If I had written the algorithms that power the model, then I'd feel like more of a stakeholder and maybe I would see the output as something with long term value. To me it feels more like fast food. It fills the void, but it's nothing special-- it's disposable 'art'. But maybe that's just me.
I think you might be in trouble there, a number of savants have been known throughout history who have been able to learn various things with no instruction and simply by hearing or seeing a work done by someone else have been able to recreate it or produce something in their style.
I think in the tech industry we get caught up on 'novel' and 'new' because duplication is cheap to the point of almost free.
Even after following along and gaining the confidence to paint on their own, they continue to use the same approach to painting. Are those paintings afterwards derivative works and to be treated the same way as an AI painting asked to create a scene with certain elements in the stye of Bob Ross?
The AI is learning. Why is one of those things stealing and not the other?
The definition of a derivative work is agnostic to the means to create it. The final product is what is being evaluated.
If the answer is "but the Bob Ross paintings that are derivative works by amateurs are never sold and only hung at home - it would only be an issue if they sold them or tried to display them publicly as described https://www.law.cornell.edu/uscode/text/17/106 " - then I would agree.
If I create an image through any means - be it paint on canvas, stylus on tablet, or prompt and ML and don't violate 17 U.S. Code § 106 then there shouldn't be any issue.
If, however, I publish that image - again, no matter how it is created - then there is an issue. But it isn't the maker of the paints, or Adobe, or the creators of whatever ML model generated it. A program cannot hold a copyright and cannot itself create a derivative work. ( https://www.smithsonianmag.com/smart-news/us-copyright-offic... ) and so the issue of creating and publishing a derivative work is upon the human who did it - not the computer.
If you want to sue someone for publishing an image generated as "create a landscape of San Francisco in the style of Pixar" then have Pixar go after the person who published that image. It doesn't matter what process created that image.
Part of the conceit of the story is that even a mechanical copy of a known work can become something else because of the inner experience of the person reproducing it. Menard's Quixote, his fictional author thought, was different because Menard knew things and lived through things that Cervantes before him didn't, and so the exact same words are injected of different connotations because of this.
It's absurd, but it explores something about authorship.
ChatGPT and AI have no inner lives, no authorial perspective, and so they cannot use this defense. In their case, a copy is truly "stolen" with no additional value.
IMO piracy should be morally encouraged
King of bad takes. Painters literally said the same thing about Photography.
>these models are trained on stolen artwork and texts.
And the neural networks in human artists' brains is exempt from this logic why? Because it's biological and not silicon?
I think this is itself a bad take, for several reasons.
First, that something false was said in the past doesn't make it false today for a different thing.
Second, that wasn't the argument painters "literally" used. Did they claim that taking photos was "stealing" their paintings/reality?
What some may have claimed is that it took no skill or that it was cheating, or that it would put painters out of work. We now know all of these assumptions were wrong.
Photography doesn't "automate" creativity, as anyone struggling to take an interesting photo that tells a story can tell you.
And for whoever is saying not automating these is gatekeeping let me ask you gatekeeping from what? You could write a kids book yourself without AI if you put your mind to it. It’s a super easy feat.
Can we strive to automate more boring stuff such as scrum meetings, filling out forms and paperwork in general?
Being that there is enough of a debate on this topic alone that's been raging for decades it's not easily decidable by a one liner.