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OK, I'll be the guy who brings the snark. It seems that when Silicon Valley tech people create AI, it makes exactly the art you'd expect Silicon Valley tech people to like. I.e. this is very much the style you see in NFTs, or, as someone else said, in Dixit. It's quirky and stoner-ish, very "transcendental"... for an AI, it's amazing...
For a human, it would be dross.
Yeah, yeah, I know, art is subjective, well I like it, how can you impose your tastes on the rest of the world, et cetera et cetera. Sorry, but it's dross! It's the kind of work the guy in the art shop up the road churns out, and sells to the ignorant locals in my town. It's the art equivalent of Visual Basic. (I'm trying to get through to you that in this world, too, things can not just be done, but be done well or badly.)
If there's a lesson on the AI side here (and maybe there isn't) it is just that these machines are still copying. They were trained on a bunch of art - and you can clearly see the kind of art that was used. Presumably, if it were just trained on Old Masters and Picasso, Dall-E would be mass-producing the stuff I, an intellectual, like.
Note the difference, though, with a real artist. A real artist takes as input the real world - Rouen cathedral, the horrors of war in Spain, a Campbell's soup can - and produces art as output. This takes as input art and produces more art.
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They werenβt just copying/pasting prompts there was human creativity involved as well
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For those unfamiliar, you can see some examples of the actual game cards here: https://www.libellud.com/wp-content/uploads/2022/03/DIXIT_OV... (PDF warning)
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βDall-E, generate a collection of images showing plausible war crimes from the current conflictβ
βDall-E, take this image of Dallas in 1963 and infer a new angle showing the real shooterβ
βDall-E, generate a photoshoot showing a supportive crowd rallying round the leader cheering his latest policy. Work with GPT-3 to generate plausible Twitter profiles, timelines and memes with 3 to 8 year history for each one of the supporters, including fake arguments, 78% of which are won by the pro-leader account.β
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Relatively soon, there will be commercial models of this quality for music/code/text/speech/images/3d models etc.
Once these AI generated assets flow like water into the hands of creators, it will significantly change the way people work.
I'm sure some people in this thread have had a taste of this working with Copilot. For me, it's most useful as an un-sticking tool, to get me moving again, or providing half remembered syntax for a language I don't use as frequently.
There's no reason to expect that similar use cases won't make their way into other industries.
- Rapid prototypes of models/textures for video games.
- Quick and easy samples for musicians.
- Emotive speech for audio books and transcriptions.
It won't replace everything, but so much of our media uses art as noise, to fill a gap, and with this, it can be done almost everywhere on the cheap.
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- read the OpenAI paper
- notice there was a lot of words in the harm section
- notice the mitigations boiled down to "limit access" (a marketing strategy) & "put rando colors in a very easy place to crop out", have them note how easy it was to crop, yet they still went with that strategy
- notice no one in actual AI art community has received an invite, but random SV hoi polloi and OpenAI employees have
I had been worried about the moneyed class taking all the work we had done in the open source community informing their approach (check citations on the Dalle paper), privatize it via applying it to a large dataset they built, and not share _any_ of their data or models because "harm reduction" that amounted to marketing x not risking their ability to monetize.
It was shocking to see DallE 2 get announced and take that exact approach.
We'll keep working, LAIONs 5B dataset starts approaching the #s cited in Meta's and OpenAI's papers.
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More impressive, because of how good it is at capturing and synthesizing a wide variety of topics in a reasonably coherent way, and how it seems like it would actually be a viable mechanism for creating actual artwork, or at the very least, a source of inspiration for a human artist to touch-up on later.
Less impressive, in that it's pretty obvious it's not any more advanced than a graphical version of GPT-2, which is parroting content and styles that it has basically memorized and is really good at interpolating between.
Because there's no such thing as a "logical contradiction" in this sort of illustration, compared to a paragraph of text or a code listing, the fact that it's just interpolating between a huge database of memorized content isn't as easy to spot as with GPT-2, and matters less in the actual end result.
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Maybe we're just search engines of a similar kind.
An additional aspect of human art is that it (usually) takes time to make. The artist might spend many hours creating and reflecting and creating some more. The artist's engagement with the work makes its way into the final product, and that makes human art richer. Could future Dall-E version create sketches and iterations of a work; is there a limit to this mimicry?
I'm feeling future shock; heavy future shock.
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Most of them have a theme that makes sense, too.
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"Wait why doesn't anyone care about the scarce thing anymore?"
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TLDR itβs not just the bio pasted directly into dall-e and the images are cherry-picked but dall-e is basically doing 95% of the work here. I have no ability to make art myself, and I found I could illustrate basically any bio I wanted in a couple minutes of playing around. My goal was to create illustrations for my friends not create a dall-e gallery but Iβm glad it ended up being a good example of what dall-e can do
https://twitter.com/nickcammarata/status/1512119623315075081
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I disregard the narrow-AI-only folks almost on principle; Terrence Tao, Albert Einstein, Mozart, and Van Gogh couldn't do each others' jobs.
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They're not just conceptually accurate, but to my eyes they're pleasing to look at from a purely artistic point of view. I'd put these on my wall.
I already take a fairly bullish position on the potential of AI, given a long enough timeframe, but it does feel like we're reaching a bit of a tipping point here.
It's starting to prod at the paradigms I hold in my head about what I think "art" is.
In a turing-syle blind test of these DALL-E artworks, I think most people would be unable to tell the AI generated art from that of human artists. And I imagine that it follows that the same will be the case for music in the near future too, and likely most other artistic endeavours eventually.
I like to write music. I respect the output of other musicians (my fellow "artists") and I am driven, by both intrinsic and extrinsic rewards to keep trying to get better at my "art". But when an AI can produce works that match or exceed my art (based on whatever the measures are that we already judge art by) - it prompts some interesting questions. Does it lower the subjective value of human-produced art by virtue of reducing scarcity, and increasing accessibility?
Of course, DALL-E is trained on the output of human artists. But art is already recursive in that respect - human artists themselves are trained on the output of other artists. So that's not so different...
I guess it's the same paradigm as mass production vs hand crafting. When we pick the cheaper, mass produced item, we lose out on some of the humanity and soul that's baked into hand-crafted goods. But history has shown that we'll gladly take the cheaper, more accessible, more predictable option in most cases.
The commoditisation of art.
When things are commoditised, I tend to think that the opportunity for the creation of value (by humans) tends to move up an abstraction level. As technology becomes commoditised at a certain level, then the orchestration and management of that technology becomes the new speciality where humans are useful and can create value. When that orchestration layer is commoditised, it's the next level up that we can turn their attention to.
So the new art maybe becomes meta-art. Perhaps human artistic endeavours become more about curation rather than creation?
Or will AI art never reach a sufficient level to be considered equal to, or better than human-produced art? We can hide behind the subjectivity of all this, but something like a blind identification test (AI vs Human) removes some of that subjectivity fairly easily...
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Otherwise, my stomach is in knots, because this is terrifying.
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What belief systems will we form around AI art after it becomes clear that it's never going away? Many people say that art is subjective. I am thinking that if or when parity between art from humans and AI is achieved, some people are going to believe that a humanistic quality of some sort will be trampled upon in the realization that the two types of art really are indistinguishable. Others might believe that AI art is just another tool that they believe expresses their thoughts. The different beliefs might be fundamentally unresolvable, and this may become an unending source of distrust and sadness in certain art circles within the next decade.
I do not look forward to how this tech will interact with online culture several years from now.
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Everything that happens in this world has a coherent causal relationship. Whether it is technological development, territorial domination, or even unavoidable natural disasters or unexpected accidents, no one should stay out of it.
If people are willing to face it, perhaps many things will not evolve to the worst level, but in this case, people usually choose to turn a blind eye in order to protect themselves, or some people are very willing to sacrifice other things for selfishness, they It is taken for granted that only the victims will bear the consequences in the end, but it is not the case, the laws of the world will one day pay back all cause and effect.
However, this is only limited to the things that the "law" can take effect.
When "exceptions" fill the whole world, then the fate of this world will be nothing but despair.
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this is going to absolutely obliterate some markets for illustration and stock photography, unfortunately
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The one I have seen so far[1] is the Twitter logo one, but it's hard to tell if the "Twitter" had much effect here or if it's just the "blue bird" that did it.
[1] https://nitter.net/pic/media%2FFPwj5G-WUA8__UC.jpg%3Fname%3D...
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At the same time I fear for my illustrator/digital artist friends.
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This makes you think what is real art? Beauty, meaning, context
Can this achieve real art? Or just composing existing art?
If we don't preserve the art industry, and global industry flocks to the lowest common denominator, what will that mean for the future of art
If an artist invents something new and someone unrelated uses it to train a model and generate 100s of compositions who should profit from it?
What was the "license" on the images used to train the model
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https://arnicas.substack.com/p/titaa-28-visual-poetry-humans...
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My question is whether more compute and more data will be sufficient for the AI to create its own art styles. Everything we see here are within the stylistic paradigms created by previous humans.
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bias in AI I guess.
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Side note: what might make artists a bit relieved is the fact that artifacting is still pretty apparent even in the curated examples. Fine details or even whole figures sometime devolve into that scrambled topography familiar to AI art. Even in more compositionally competent artworks, the "brush strokes" frequently have identifiable blurs at the margins. Text also seems to be gibberish even if aesthetically coherent. Even still, these are all such minor issues that additional photoshop would be both easy and readily doable.
Overall, this is frankly stunning and I'm really excited to see what others come up with. I feel like it's language and composition ability definitely did not disappoint the hype of its press release.