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This is true. But here's a thought experiment. What would happen if, say, an illustration-drawing AI (it's just a more fitting example than prose) is trained on
by V-2 4y ago
This is true. But here's a thought experiment. What would happen if, say, an illustration-drawing AI (it's just a more fitting example than prose) is trained only on art from before the 20th century. It would surely excel in 19th century or medieval style illustrations, and yes it would produce original ones. But would we ever get a 20th century art style from it? By which I obviously mean even an alternative 20th century style? There are different tiers, or layers of creativity, that's my point I guess
- Lockyy 4y agoIs this fundamentally different from training a human exclusively on the same and expecting them to advance the field of art by a hundred years? These sorts of progressions in humanity are slow and steady with occasional exceptions that produce leaps.
- roofone 4y agoThat’s a good point. Though AI should be millions(?) of times faster and get to those leaps quicker…but can it? Would be very cool to see that experiement.
- V-2 4y agoThey may be slow, especially by machine standards, but they do occur. Their pace isn't really relevant to my point. And humans are trained on the same; unlike AI, we don't have any external supply of art to rely on : ) At any given time, all we have is what we've already created so far
- saynay 4y agoI would actually say that humans have an enormous extra set of data that we, as people, are "trained" on. We walk around in our daily lives, seeing things constantly, and that influences our perception of art. Art is always a product of the broader context it was made in (social, environmental, etc). Something that gets accepted or praised today might very well not have been 200 years ago. One of the things that is interesting with these new big models is it is dramatically broadening the context in use. The models are learning both the textual representation of a concept, as well as the artistic/visual representation and the relationship between the two domains.
- V-2 4y agoThat's true, but this is exactly the unsurpassable limitation of AI's creativity. It can generate art out of art. It can do it exquisitely well. But it lacks experiential/social inspiration. This component only comes from recycling here. (Without the atmosphere of industrializing 19th century Central Europe - we have no Kafka. You can't simply generate Kafkauesqueness out of pre-existing literature.) And that's why I refuse to believe AI can be creative in a meaningful sense of the word. Obviously it's not AI's "fault", so to speak, but that's kind of beyond the point :) PS. I can imagine - now we're going far into the realm of s-f - truly sentient AIs producing art that's genuinely creative. Art actually stemming from a self-conscious AI's psychological experience. But then it would probably be utterly incomprehensible for us : ) "If a lion could speak, we could not understand him", as the philosopher remarked.
- dr_dshiv 4y agoGood empirical question. I bet we will find out soon enough.
- jmiskovic 4y agoThe current generation of AI can generate art that is already original; if provided with feedback from wider population it would rapidly develop original style(s). This is because AI was made as a tool and it functions as a tool. Nobody trained the AI to advance the art style on its own. Contrary, I wouldn't expect 19th century artists locked in their rooms to produce a new cohesive art style. You cannot even get artists to reliably create 19th century art at scale. They quickly get sidetracked, and keep complaining about the bars on the windows.
- saynay 4y agoGeneration of a "style", even for humans, requires a feedback loop where what was created is incorporated, mimicked, and expanded upon. An AI whose training model only rewarded images that mimicked 19th-century art would never develop a "style" outside of that. But if you had a model that was trained on 19th-century art, and then provided a critic network that rewarded 20th-century art (as well as 19th), and re-trained the network, I suspect that it would develop a 20th-century "style", as variations that previously would have been rejected under a strict 19th-century criteria will now be accepted.
- V-2 4y agoAnd it's this expansion aspect that seems crucial to me. Endless rehashing of inputs can lead to seemingly creative outcomes, but that doesn't mean any actual expansion occurs. New works are created/discovered, but are new underlying principles discovered?
- saynay 4y agoThe generation side is actually probably easier than the critic side. I don't know of any network that is capable of determining if something is aesthetically pleasing in an abstract sense, instead they always compare to known examples.
- Tade0 4y agoI recall seeing a Two Minute Papers episode about an AI built to be curious, or specifically - explore routes in a maze where it couldn't predict the outcome. The easiest way to block it was to present an animated wall. The AI would just stare at it and not go anywhere.
- visarga 4y agoHumans do the same - recombine the same limited vocabulary in new ways to address new goals. We rarely invent original meanings that could not have been expressed before.
- hsn915 4y agoI believe the point of the original comment is to make AI that comes up with its own original style, not one that "reinvents" an already existing style after first being trained on a different already existing style.
- hsn915 4y agoI think that's a valid point, but it's already near impossible for %99.9999 of people.
- visarga 4y agoYou can turn that around - why didn't 19th century painters use 20th century styles? Art evolved in relation to the social and historical circumstances. At the very least you would need to give all the context of the 20th century beforehand (except for the art itself).