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In support of mistake theorists and against outgroup reification
There's even more drama in the AI art sphere than before. Actually multiple dramas, all around Stable Diffusion, as is customary now. Artists on Twitter are threatening class action, half-seriously rallying around Greg "by greg rutkowsky, trending on artstation, 8K" Rutkowsky, Palmers and others; Danbooru is being slowly purged of content on takedown requests, in the wake of NovelAI SD-based image generator release (drastically superior to earlier stuff, and allegedly tracing over whole pictures); StabilityAI Discord has banned Automatic111, a hero and pillar of the community, the developer of the leading UI, due to him
being an asocial Russian assholeimplementing means to handle the recently leaked (by a third party) NovelAI models and allegedly stealing like 20 lines from their proprietary code, apparently to placate NAI and send a message to future pirates and business partners about Emad's priorities; Voldy denies the theft and counter-accuses NAI of copying his prompt-weights code without license; Stability staff/mods, it is claimed, have taken over a community subreddit by guile, to no comment from higher-ups (update: Emad magnanimously agreed to concessions); Emad keeps postponing the release of an improved 1.5 citing great responsibility and «tweaks to handle extreme cases» which is taken to mean «castration on dataset level». It looks like another Open-for-profit company has been revealed as an embrace-extend-extinguish scheme, and we will have to learn, after all, to pool resources on our own. Or maybe it's all catastrophizing by excitable FOSS fanatics. The situation develops rapidly.…But I'd rather leave the drama discussion to @Porean, seeing as he's posted it first, and talk about something less spicy. After interactions with Hlynka here, I want to share an observation about conflict theoretic lens and unhelpful labeling of the outgroup – such as artists on 4chan /ic board calling AI users «pajeet».
This has to do with Emad's origins and the racism-tinged contempt for «soulless tech bro nerds» pervasive among the 4chan creative intelligentsia, of course (the Twitterati attack soulless tech bro nerds as such, without racial qualifiers). No equivalent prejudice against South Asians exists in Russia. So, there AI users and people arguing in favor of this tech are labeled «neuroschizo». I wonder about other sectors of the Internet.
Yes, singular «pajeet», singular «schizo». It's not just a meme. They (well, many of them) report it to mods as such, they whine about a sleep-deprived obsessive fanatic who keeps pestering them in their strongholds (a not-so-implausible scenario, but clearly wrong in this case). And I posit that this is Indicative Of A General Failure-Prone Tendency Of Conflict Theorists, who have a powerful presence here. I have ridiculed Scott's Conflict-Mistake framing myself. But the core objection – namely that the Conflict model is evidently true, as well as people's willingness to lie in service of their terminal goals – may be a cognitive poison pill.
Anonymous imageboards have been a mighty forge of internet culture. What is often underappreciated is how strong they are pound for pound, in terms of active user or post count – even the biggest 4chan boards are like a middling subreddit or Discord/Telegram chat. Why is that? Freedom of expression, lack of reputation and all that jazz, you know it. But I think that they're a bit similar to latent diffusion models: they are more efficient, due to compressing the trappings of a social network into a lower-dimensionality space. By stripping identification and the complexity it can carry, they allow – nay, force – individual voices to be associated instead with archetypes of groups, in every individual interaction. You cannot be a token, like on Facebook or what have you: everyone is a type, but which type, depends on the mood and the topic. This inflates the effective population size to parity with a big society where full connectedness is impossible and knowledge about others must spread by rumors and vague stereotypes. It makes boards a self-running, accelerated social experiment. (admittedly this theory needs more polish)
Anons know, of course, that they are few in number (although a Legion). And they can see that people are pretty stable in their quirks. And they are aware that people can lie when it serves them. So they overcorrect into reifying recognizable opinions as marks of an individual or at most a small coherent group. Someone sneering at «Chuds» comes, in /pol/ mythology, from some specific discord – and needs to be reminded that he «will never be a woman». On /ic/, someone explaining how latent diffusion works is… «cool story pajeet».
It's an experiment that represents, at small scale, the superstitious nature of network age paranoia. In larger communities, the same assumptions are applied on group level. Everyone who disagrees with me is a Russian bot! Except if I'm a Putin loyalist, then it's gotta be ЦІПСО, Ukrainian propaganda division (that's what I am these days, according to many of my compatriots). If you're an American Right-Winger, it's some sort of GloboHomo WEF talking head. If you're a good progressive, it's probably a Fascist representing a unified anti-Lib front.
This is psychologically comforting for a few simple reasons.
First, such a problem is very legible and simple. There's no structural reason for the thing that oppresses you to exist and be the way it is, no grandiose system of incentives, just malign will of a finite set of human actors, fallible flesh and blood with a self-serving narrative.
Second, it's surmountable. Calling the enemy out is half the battle; getting him banned is another one fourth, after that you just gather up the boys and attack his turf. The hostile group is not representing the majority of the population (usually is puny), is easily identifiable and kinda ridiculous. Maybe just one weirdo, a «pajeet» or «chud» at that.
Third, and most importantly, it excuses ignorance. You can plug bananas in your ears because conflict theory predicts that the enemy will lie, or try to deceive you while not technically lying, to demoralize you. And why would he keep investing effort into that, coming up with arguments tailor-made for you? Of course because his onslaught isn't really going according to plan, in part, precisely because people are not falling for it! That's what those artists think too. AI proponents are lying collectively to break their spirit; they just need to wait it out while the pajeet runs out of steam; they don't need to adapt.
They're wrong.
It's unhelpful to have a dead wrong model of the conflict they really are in. One big and obvious reason: because it precludes communication with people who are different but not the enemy and are trying to help – or at least negotiate. In trying to not be a 0HPLovecraft-style quokka, such a conflict theorist ends up being simply a myopic rat, destined for being made marginal and obsolete. The great discovery that counteragents might lie is a point of a wholly unreasonable pride of a certain brand of reactionaries. It's also a source of a delusion as damaging as the inability to conceive of bad faith.
Tl;DR: Conflict theories have a failure mode or reifying the opposition, that can lead to cognitive closure and lack of response to arguments. The very assumption of bad faith, without extra precaution, bootstraps the development of theories on how bad faith propaganda is being delivered to you, for what reason and by whom. From then on, truth is ever harder to find. People should remember that, when assuming they can see through the opponent and dismissing opponents out of hand.
I very likely wrote some of the posts on /ic/ you’re referring to.
My mental model of the developers/proponents of AI art (and AI in general) is that they believe that they’re genuinely making the world a better place, at least by the measure of their own terminal values. I just happen to sharply disagree with them.
Obviously, posts written on 4chan to blow off steam and commiserate with people in your own camp do not always reflect the nuance and complexity of one’s actual views.
EDIT: Well, since I just brought up the subject of having nuanced views, I should acknowledge that I don’t think the motives of AI developers are entirely pure-hearted in all cases. If you read the /sdg/ and /hdg/ threads, hardly a thread goes by without someone saying “fuck artists” or “it’s over for artcels”. There’s clearly some amount of resentment there for people who possessed a skill that they wanted, but were not able to obtain for whatever reason. As for a broader UN/WEF conspiracy to reduce the global population by replacing workers with automation - obviously I don’t have any concrete evidence of an intentional conspiracy, but I do fear that a future like that is possible, even if no one is consciously intending to bring it about.
Excellent!
Incidentally, I do not post there. 4chan is banned in Turkey, my VPN is banned on 4chan and bying a passcode or investing effort into cheaper workarounds feels not worth it. Still, I've written an angry response for a yet another maddeningly arrogant thread – struggling to fit it into 2000 characters – the other week, before finding out that no two-bit hack works. This is as good an opportunity to share it as will ever come.
Please don't take it too personally. Ahem:
...now, in a less 4channy mood, I need to admit that artists do have a point. Making them obsolete using their own work is a scummy move, regardless of artists' character flaws. And mundane considerations of fairness aside, we need a framework for the coming AI era where all jobs will yield to machine learning at some point. One option would be to institute a sort of collective entitlement, monetary and cultural, for members of guilds whose jobs have become automated, because the sweat of their brow, examples of their product, has enabled the creation of that automation to no lesser extent than the work of developers. A derivative «coom artist» can go pound sand on Twitter. Greg or Clive should have a stake in the pie of machine-produced visual content, and maybe some Prometheus Medal for their contribution.
But of course even their habits and egos are not worth hampering the greatest celebration in history.
@2rafa: no idea how the law will decide, it seems that purely by the letter of the law artists have no case, but the law may be changing soon. The logic above is why I tentatively approve of artists and other IP holders getting their wish come true and excising their stuff from training data. Spamming tags associated with generically high-quality pictures (which is all there is to «by greg rutkowski») is tasteless, and training models on Greg to learn his style along with his themes is silly and inefficient, but it's such an easy shortcut it may clog our creativity for an arbitrary span of time. With fat-soaked American IP like Mickey Mouse it's even worse, why keep clinging to it in the age of visual post-scarcity? It only ever got anywhere due to starting early. We need a clean break and an Aesthetic Space Browser, and the surest way to develop it is to begin with taking away the easy and cheap option. Now that the potential is known, the way there won't take as long.
Below is a translation from a Russian /ic/ equivalent, one of a series of texts that I consider to be some of the best writing on this subject available anywhere, from a man much smarter and a better writer than myself, and an obvious inspiration. (if anyone wants other texts, let me know).
Man, that's so
funnyfucked up.«Artist growth». «Income». What income now.
The basic model understands Euclidean 3D in classical perspective. Why this particular space? Because this abstract model is the most efficient way to explain the presented set of data. Why does it understand «objects» and the orthogonal group of transformations? Because it is the most convenient way to compress the data through a hierarchical decomposition of the visual field. Why does it understand lighting? Because, just as in the previous cases, the model was able to reverse-engineer the scene and decompose it into surfaces, light sources, and color space. Why does it understand «style»? Because «style» is a microscopic speck in terms of information volume, a cosmetic superstructure overlay for the underlying geometry, textures and lighting.
And yes, «composition» is also an element of style. So are different kinds of perspective. For a mangaka, «fish-eye» means years of wrestling with built-in visual cognitive biases, painstaking fiddling in awkward 2D, selecting, combining and projecting primitives, generating and tracking pencil trajectories, iterating a loop of deliberately memorized algorithms with elements of pseudorandom – assembling a cognitive chimera from the elements of thought amenable to control. For the model, it is only a vector weighing a few kilobytes that directs the hierarchical blending of the base elements.
Shift by vector plus cosmetic rendering. Click – an orange grows a coat of feathers. Click – feathers become made of glass. Click – fisheye. Click – reverse perspective. Click – Kuvshinov. Click-click – Vrubel. Gumroads have never taught anyone anything. Creative work is a pipeline. 99% in the technical tricks – and a bit of lucky pseudorandom.
And it's not even the beginning, it's just a precursor. Text, pictures, music, video, speech. Sculpture, architecture, engineering. What even is genuinely complicated in our culture? Mathematics? But proofs of theorems are isomorphic to programs – and coding, too, is kind of, well.
Only meat and quale will remain for the market. You can't carry quale to the market. Hence, only meat.
...I'm just complaining. We've all been blackpilled to the point of being stiff a long time ago.
That's not the essence of it. Creativity is now officially a closed topic. Well, you know, not very long ago, among the linguistically oriented highly intelligent public (philologists, writers, language philosophers, mathematicians...) it was fashionable to do topology, play word golf, admire Hofstadter, and subscribe to "Word ways" magazine. All we have left from those glorious times are scraps, fragments, and vestiges in the form of ubiquitous arroword and crossword puzzles.
The end of the glorious era came almost immediately by historical standards. And not because the fashion has changed and people got bored with something there. Just because there appeared a cheap microchip, capable of closing all open problems and finding all the interesting structures in about an hour – even without any algorithms, just by brute force.
The topic was closed. And no one even noticed how it happened. It went down quickly, almost immediately. Flip-flop, and that was it.
Poets have been constructing palindromes for centuries. A microchip came along and found them all. Aristocrats played word ladders for decades. A microchip came and built them all. The thicket of texts was once home to the most fascinating pokémons – but a microchip came and collected them all.
Dickgirls, dickgirls on dickgirls, vegetables... Does it hurt, doesn't it hurt, is that really what it's about now? [Skill] ceilings don't decide anything anymore. There are no ceilings. That's it. Flip-flop on the scale of an entire culture. I haven't made it. I was too late. And there was only a little bit left to go. Oh, man.
I'll take this as an invitation to translate a couple more of his posts. @FCfromSSC, @Primaprimaprima, @VelveteenAmbush, @07mk may find it interesting.
Blah hlah. «A neural network is just a tool». Instrumentality is not an essential characteristic, not a set of immutable and stable invariants – it is just a position in a net of relationships. Photoshop is your tool. You are a tool in the hands of the customer. The customer is a tool in the hands of media corporations clogging up the information space with hyperstimuli, pussytriggers, freakcodes, miyazaki-glitches, and other visual-advertising slop. In this hierarchy of tools, you're just a gasket. You are tolerated only for the time being, being used as a cow to milk for datasets. While corporations cling to their «know-how» with a deadly grip, the goyim are being sold on «sharing is caring» out of every newspaper. So, how'd it go, guys? You like it? You want some more, or you got it figured out already?
Judging by the millet you've chewed up here, you know nothing about either. Even worse, you don't even know anything about yourself, and your doctrine about man is hundreds of years out of date. You see, the future is very unevenly distributed over mankind. Conditional modernity is an integral sum of anachronisms, the civilizational clock within different social strata is at times lagging, at times gaining by thousands of years, and while the fiery sparks of futurism are rising into the sky, somewhere deep under the silver amalgam of modernity the tectonic plates of archaicism, which roots dig into the Paleolithic, are heavily tumbling. I have seen [fields, Neo, vast fields] whole institutions filled with former-people, unable to grasp the moral obsolescence of their own discipline. They live, and sometimes even live very well – but their lives are as relevant to modernity as the life of a bushman poking the earth with a stick.
You are a former-person, a representative of the Paleolithic. You vastly overestimate both your own complexity and that of the culture that has produced you. You wave your pokestick menacingly and seriously believe that your so-called «academia» is something more than the mere escheated craft of projecting probability distributions learned by the visual cortex into a two-dimensional peephole. Hail to the great academia! Hail the ball of feces molded by the calloused hands of industrious dung beetles, a combination of kolkhoz hunches, try-anews and rules of thumb, carefully handed down from holey teachers to their equally penetrated students!
It doesn't even occur to you that instead of «building a nose» as a perspective projection of 3D into 2D, which some 3D humans force others to learn doing for years, you can «build a face» as a generalized object in 1000000D-space – and get all potentially possible, that is, all fitting into model-learned probability distributions, human faces as projections of this generalized object into the plane. The neural network does not need to «build a nose», it is already built within it as an element of some hyper-object in hyperspace – and, unlike you fool, it can project this nose into a subspace of any dimension: into a line, into a plane, into three-dimensional volume, into ten-dimensional volume, anywhere.
«Constructing» is not your forte, it's your bottleneck. The obligatory decomposition of the image into hundreds of layers of Photoshop, priming and underpainting is another bottleneck, a phoney and lifeless detour where a neural network can cut a straight path. The local, single-channel application of the picture using hand as the manipulator, slow and semi-random coverage of the plane with monotonous brushstroke patterns, all that stuffy, mothballed, chthonic horror, is just a creative disability in comparison to the neural network that builds an image globally, multithreaded over the entire plane of the canvas, and which, unlike you, is just as globally and multithreadedly able to build objects of any dimensionality.
Oh so that's it, pockets on her jeans. A veiled attempt to appeal to the informality of pragmatism. The most flaccid argumentum ad props I've ever encountered. By the way, do you remember what year Ackoff's On Purposeful Systems came out? Was it '72 or something? Trapped in the shut-dead vault of their own stupidity and ignorance, members of the creative class still find even long-solved problems cognitively impenetrable.
Ten million «consciously done» entangled and crooked and forsaken paths, thousands of tons of glucose burnt in the cracked craniums of the creative class – and we end up with the same ten standard plots and a couple hundred classic archetypes. This is how functional-structural convergence works. This is how power law distribution works. This is how ethical and cognitive specialization of sapiens works. A finite number of basic emotions, a finite number of their variations, a finite number of forms of group interaction, a finite number of social conflicts, a finite number of characters in the actor network – «love» here, «treason» there, »family» to the right, «war» to the left. Locally, you're all incredibly individual and monstrously creative – but when you go out into the vastness of the Artstation or even the most obscure booru, one clutches his head. A woman with tits, a woman with a dick, a woman strong and independent – a foreign, eggplant flavor girl. What is obscured in small samples, becomes evident in big data. It's all the same shit.
Fractal laughters. Sneers within sneers.
The deal is in the multimodality, in the virtually implemented possibility to reconstruct the latent model of «the world» from its two qualitatively dissimilar discrete projections. Instead of the natural language (or rather, its stripped-down version used for tagging) and a piece of N^n characterizing geometric and color space, you can take any two models of anything fixed in any arbitrary languages – and build a proxy-manyamirok [delusion-world] with them, guaranteeing a coherent inference in each half of this bicameral. This is the same «Geometric Machine» (?), only built on self-learning, providing x1000 in power, and in addition capable of running on any cardboard plug, not just a distant mainframe of the eggheads.
Multimodality enables you to avoid local roadblocks by changing the representation, allowing you to bypass the problem area along a parallel model, either by rising to another level of abstraction, or by decomposing the problem into subtasks within a more concrete and detailed representation. Connecting a hundred bicamerals on different pairs of models into an orgraph, we get the very thing the fathers of cybernetics dreamed of and about which St. Academician Ivakhnenko directly wrote half a century back: a multilayered hypersurface of layer-models connected by forward and backward connections of information archivation and inflation.
Considering the fact that such structures of models docked into polyads keep popping up in various fields related to reasoning, from mathematics to cognitive sciences and from Lotman's culturological essays to pedagogical articles, one may suggest that they are as universal as the g factor, cortical columns, deep learning models and other abstract motes like atomic theory in physics, set theory in mathematics or finite element method in engineering. In any of the local domains, sooner or later a universal methodological wunderwaffe capable of completely covering the problem field is discovered.
Understanding is a transformation of information within a network of models representing other models and themselves, a long branching tail-cyclic graph, a rhizome of algorithmic tunnels conveying through the system a long echo of mutual interpretations, a reverberation of meanings in autoreferential algorithmic corridors. Did you understand what I just said? I didn't either. But this is how it is. We implement this transformation every day, every second, within hundreds of parallel threads – and use its results in the form of object icons on the screen and a dull linguistic constructor, with which we desperately try to fight reality.
Attacking Vasya [who doesn't value true art] won't help you. It's not about bydlo, it's about the fact that «meaning» has become an engineering problem, literally just now, before your very eyes. And instead of assessing existential risks and opportunities to hedge them, you've taken a couple of dumb verbal devices and are trying to assemble either a butt plug or a virtual inner politruk out of them. Repent, simpleton – you'll get a discount.
cont.
Define copypasta. Anime-girl, like any "object", can be described as a projection in the plane of some three-dimensional model with superimposed textures and lighting. The girl, as a model, cannot be patented (unless it's a branded object like hello-kitty or Mickey Mouse). But even a branded object is assembled from geometric primitives – spheres, cylinders, triangulated surfaces – covered with commonly available textures and painted in standard colors.
OK, you'll do what they do now - make some verbal description of the style and a set of examples of that style in the form of pictures proprietary. But style is a point in a huge "style space." Some dots are now occupied by authors, some by corporations, some owned by no one (like tumblr noses, etc.) – but the vast majority of style dots are free. Neurobros will simply go and create new styles – or generate new ones as unlike the existing ones as possible by interpolating the old ones. And what do you do? Train a neural network that will assess the degree of coincidence of the author's and copycat's manners of writing? Well, it will start to register all the usual artists as thieves, most of whom will not even be aware that their way of drawing is similar to someone else's patented style – because there are a fuckin' million artists and it's impossible to know them all. As soon as the person starts to draw and posts the first picture, he'll get sued for stealing the identity of some obscure patented artist – because the picture will be similar to this artist's "naive_relism_№9714443" or "primitivism_№540235".
You can't patent a sphere. You can't patent the color blue. You can't patent a girl with a dick. Can't patent the slap. Can't patent the grass, the sky and the sun. The point of Transformers as ML models is that they have no ceiling on the level of abstraction and depth of image analysis (which you, for example, do have: below is receptor resolution, above is a ceiling on the complexity of the patterns being analyzed). It doesn't steal fragments of other people's images, it stupidly parses the world into ontologically real objects like people and trees, or geometric primitives, textures, shaders and lighting, and then mixes them.
The only thing you can do is to forbid using images of authors to train models. But then they would be trained on open datasets – and "styles" would be pulled from publicly available classics or the same interpolation of existing styles. Or, you can just set a reference point in the shape of a model trained on real photos, and define "style" as the sum of the deviations from photorealism, generate a million random deviations and set up a focus group to evaluate them and select a few of the best tens of thousands of them. And all of these styles cannot be considered "stolen" because they will have been created as transparently and honestly as possible.
You hope in vain that Uncle Styopa The Militsioner will come and protect you from nefarious thieves. Or that the Top Skills will raise a stink and show the arrogant technicians their place. But here's the thing: there was no theft. [...]
It's not the picture that's "stolen", it's the idea. How are you going to codify an idea? Here you have Beksinski, for example. You have a collection of his paintings - they are copyrighted not as sets of ideas, but as some instances. Each painting is protected as a unique object, but inside it are thousands of ideas, assembled into an original construction of universal yoba-blocks – both created by Beksinski himself and stolen by him from someone else. In theory, you can break down each picture into blocks, brands, logos and labels – that is, you can select a set of objects as "Beksinski's mickeymouses", select the original "Beksinski textures", the color palette "Zd_Beks_001", etc., and catalog it all in albums as prototypes. Then you can set metrics to estimate the similarity of other people's mickeymouses to prototypes in similar albums. And that's it, that's no more you can do.
Except that there are billions of such prototypes, and most of them are unoccupied and have never been used. A neural network will generate a bunch of mickeymouses and textures and palettes, check that they are far enough away from the prototypes (far enough away that you can't sue them) – and send them to production. Or it may prove that Beksinski himself looks like a lot of other dudes and stole half of his original style from them. And the shit will go down the tubes like never before in the history of art.
Copyright was created accounting for dishonest people and with technical means of editing in mind – but it's powerless against the technical means of the human level, which doesn't screw anyone over but just finds solutions similar to the ones people have the skill to find. And in addition to these already found solutions, it can find a million others.
The problem is, after all, not with the model itself, but only with a questionable dataset in terms of copyright. In a year it will all be the same, but trained not on garbage, but on open and clean data. And no lawyers can do anything about it.
Generally speaking, the main question every artist should ask himself is: what in my profession is really creative and what can be attributed exclusively to technical skills? The sad truth of life is that in the profession of artist, almost EVERYTHING can be attributed to technical skills and tricks around human cognitive bases and visual illusions (aka "academy", "shadier in the shades, lightier in the lights", "work not from the line, work from the blot" and so on), while the real "creativity" comes down to a dozen elementary combinatorial methods. And that the complexity of their production (in the sense of the length of the description of the structure of cultural artifacts – paintings, statues, etc.) is incredibly low and meets a clearly distinguishable upper ceiling, ceiling which generative models do not have at all.
That is, most artists are not creators, but designers, ordinary outsourced corporate servants, aesthetic engineers who «make it pretty» for the masses of workers. And in the long run all this stoned and drunk public will go straight to the streets, because a neural network can "make it pretty" much faster and better than all of them put together. And on top of that, it doesn't drink, it doesn't get high, and it doesn't fuck up deadlines. Unlike them.
Stop hiding behind semantics, wanker. The words «think» and «invent» mean nothing and function solely as mental plugs in everyday psychological discourse. SD works as a semantic archiver – something like a winrar, which effectively compresses data without the possibility of unambiguous retrieval. In terms of statistical learning theory, it reconstructs a hierarchy of probability distributions over a finite sample – that is, it solves the general problem of induction. From the point of view of information theory, it reduces the entropy of the data. From the point of view of computational theory, it splits the original data into data structures and algorithms. From the point of view of algebra – into a basis of initial elements and a basis of elementary operations. The same is done by neural network structures in your own head and social network structures consisting of creators, gatekeepers, fans and patrons analyzing, generating and filtering cultural content.
A neural net doesn't pilfer art. It fundamentally can't generate a single original object from the training dataset because its compression during neural net training was done with IRREVERSIBLE data loss. If you compare the prototypes from the dataset and the generated pictures pixel by pixel, there is nothing in common between them. At the level of complex textures and brushstroke and line techniques, the similarity will already be visible. At the level of gestures and compositions, the similarity will be 50-70%. And at the level of color schemes, it would be as much as 95%. Do you know why? Because artists have been using the same basic set of poses, angles, compositional techniques, color schemes and light sources for centuries. That squealing animal on Twitter didn't invent new poses, angles and lighting methods – he took them from catalogs, from the mainstream or from «how to draw bullshit X» type pulp manuals. And to prove this, just run a semantic search on the original dataset and you'll find tens of millions of supposedly «original» and «copyrighted» images, which in reality are virtually indistinguishable from each other. Because the Internet has long been choked with copypastes and generics. But it's not the neural network to blame, it's the artists who, instead of doing creative search and active experimentation with new styles, have sold their souls for likes and are generating monotonous mainstream millet around the clock.
All of your so-called «anime», from the neural network perspective, is nothing more than a dense clump of pixel distributions, a single
object(Anime)- a limited, dumb, primitive set of visual schemes that activate dopamine receptors. It's not art, it's kawaii engineering. You don't solve creative problems and you certainly don't set them – you're just doing calculus and graphics work at the picture-building university in the department of anime glamour. Real artists are not threatened by anything – their product is authentic, material and forever fixed in real time and space, merging human tragedy, history and destiny. But you are not artists, you are decorators. The «derivativeness» of the neural network is just a mirror reflecting your own derivativeness. And don't blame the mirror if your face is crooked.More options
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