aipornonet

Backchannelbusiness culturegearideassciencesafetypodcastsvideoartificial intelligenceclimate gamesnewslettersmagazineeventswired insiderjobscouponskevin kelly Imagine limitless creativity at at your fingertips End user Big company Consumer Small company Sector Entertainment Publications Basic data ImagesText Video Technology Machine learning Machine vision Natural language processing Neural network Image of lee unkrich, one of the very prominent staff of pixar animators, as a seventh grader. He looks at the image of a train locomotive on the display of the school's first computer. Wow, he thinks. However, some of the magic wears off when lee knows that the image didn't come about stupidly due to the fact that he asked for a “picture of a train.” Instead, it had to be painstakingly coded and rendered by industrious people. Now imagine that li 43 years later stumbles upon dall-e, an artificial intelligence that guarantees original masterpieces of art based on clues, human-provided, which can be literally as simple as “picture of a train”. As he types words, creating image after image, the wow returns. Only this time, its use will not be lost. “It's like a miracle,” he says. “When the results appeared, my breath caught, even tears welled up in my eyes. It's so magical.” Lessons from the history of photographyclassic wired covers restored by artificial intelligenceour machines have crossed the threshold. All our lives we have been told that computers are incapable of being truly creative. Yet suddenly millions of people are now using a new generation of ai to create stunning, never-before-seen images. The lion's share of these film fans are not, like lee unkrich, professional artists, and that's the point: they don't need to be. Not everyone can write, direct and edit an oscar winner like toy story 3 or coco, however anyone can fire up his ai images and input an idea. The one sold on the monitor impresses with its realism and depth of detail. Thus, the universal answer is: wow. On just four services—midjourney, stable diffusion, artbreeder, and dall-e—ai people now collectively create over twenty million images daily. With a brush in their pockets, ai has become the engine of admiration. As these amazing ais learned their art from billions of pictures taken by humans, their results oscillate around the food we wait for a photo to look at. But because they are alien ai, still basically mysterious to their creators, they restructure new images because no human is likely to know, filling in details that most people lack artistry, let alone skill . Execute. You can also instruct them to create more variations of the fact we love, in whatever stylistic direction we want, almost instantly. Ultimately, these are the ones that have the most powerful advantage: they are able to create new objects that are understandable and understandable, but at the same time completely unexpected. So unexpected are these new images created by ai , in fact, in silent awe immediately after the “wow”, almost anyone who has encountered them has one more thought: the art created by human hands must figure an end. Who can compete with the speed, cheapness, scale and yes, the wild creativity of these machines? Is art just another human pursuit that we are forced to give way to robots? And the next obvious question is, if computers can be creative, what else can they produce from what we've been told they can't? I've spent the last six months using ai to create thousands stunning images. , Often losing a night's sleep in an endless search for the next beauty hidden in the code. And at the end of the survey of creators, seasoned visitors - and other early adopters of these generators, i can make a very clear prediction: generative ai will change the way we design huge numbers. Oh, and no human artist will lose their jobs with this new technology. It's no exaggeration to call ai-generated images collaborative art.The sobering secret of this new power lies in the fact that its chosen applications are the result not of a single typing, but of very long conversations between representatives of mankind and machines. Progress for each image is achieved through a lot of iterations, back and forth, workarounds and time, and sometimes days of teamwork, each through years of progress in machine learning. Ai image generators born in the end combining two separate technologies. One coin was a historical line of deep learning neural networks that could generate connected realistic images, and the other was a natural language model that could serve as an interface to an image processing engine. They were combined into a language-driven image generator. The researchers looked at all the images on the world wide web that had attached text, such as captions, and applied billions of such examples to connect visual forms to words and reading to forms. With a targeted new combination, human users could enter a string of words - a hint - that described the image they were looking for, and the hint would generate an image based on those words. Scientists now invented google diffusion computing brands of phones are now the priority of image generators, but the company was so concerned about what people might do with them that it still hasn't released its own experimental generators, imagen and parti, to the public. . (Only employees are able to try them out and with clear instructions on what to request.) So the three most popular resources for image generators right away are usually the three startups with nothing to protect. Midjourney is a startup started by david holtz, who founded the generator in the emerging artist community. The ai interface is a noisy discord server; all work and clues were made public from the start. Dall-e is the second generation product of the non-profit organization openai funded by elon musk and others. Stable diffusion hit the scene in late summer 2022 and was created by european entrepreneur emad mostak. It's an open source project, with the added benefit of being able to download its software and run it locally on your own desktop. More than others, stable diffusion brought out ai image generators. Art is human. Art is hybrid. Why are so many people so excited to play with our ai? Many images are created for the same reason that we have always created a serious piece of art: because the images are attractive and our company wants to stare at them. Like a fire in a campfire, the patterns of light are mesmerizing. They never repeat; they surprise again. They depict scenes that no one has ever seen or even been able to imagine, and the porn actresses are masterfully composed. It's as much fun as exploring the world of video games or leafing through an art book. There is real beauty in those creations, and we view them, therefore, in a position to appreciate the great artistic performance in the museum. In fact, viewing the parade of generated images is very similar to visiting a personal museum, and in this case, the walls are full of works of art, which is what we ask for. And the eternal novelty and surprise of the next image is barely weakening. Visitors can share gems they find, but my guess is that 99 percent of the 12 million images currently created daily will only ever be viewed by one person, their collaborator. Like all art , images can always be healing. Users waste energy designing weird artificial intelligence pictures for the same reason they draw on sundays, spread the word in a magazine, or shoot a video. They use the media to work out some film in reality, something that cannot be declared otherwise. I have seen images depicting what heaven for dogs and cats can look like, created in response to the death of a beloved dog. Many images explore the representation of non-material, spiritual realms, presumably as an opportunity to reflect on them. “A huge part of all the use is that this step is most often art therapy,” holtz, the creator of midjourney, tells me. “The images of a by the way are not aesthetically attractive in a universal sense, but are very attractive in the depths of the context of the fact that occurs in the existence of mankind.” Machines can be used to create fantasies of all kinds. In those years as hosted services prohibit video - and blood, in the desktop versions everything that can be in photoshop is allowed. Artificial intelligence-generated images can also be utilitarian. Let's say you're presenting a paper on the reality of recycling hospital plastic waste into building materials, and you're aiming for an image of a house made from test tubes. You can find a suitable image made by a human artist on stock photo markets. But an individual task such as this one is seldom given by a pre-existing variant, and even if it is found, its copyright status may be dubious or costly. It's cheaper, faster, and possibly much more efficient to create a unique, personalized image for a male report in a matter of time, which can then be inserted into slides, a newsletter, or a blog, and the copyright belongs to you (for now). I've used these powerhouses myself to co-create pictures for my slide presentations. In an informal survey of seasoned don juans, i discovered that you're the only one taking up about 40 percent of their time looking for utilitarian images. Most of the ai images are used at points where there were no images before. As a rule, they do not replace the image created by the human artist. They can be created, for example, a text newsletter by one where there is no artistic talent, or time and wallet to hire you. Just as mechanical drawing did not kill human illustrations a century ago, but greatly expanded the places in which images appeared similarly, ai image generators open up possibilities for your art, not lesser art. We'll start seeing context-generated images predominantly in places that are currently empty, such as emails, text messages, blogs, books, and social media. This new art falls somewhere in between painting and photography. He lives in a space of possibilities as big as painting and textures, as big as the human imagination. But you move through space like a photographer, hunting for discoveries. By tweaking your hints, you may find yourself in a place that no one has visited before, so you slowly explore the area, taking pictures as you go. Terrain can be a theme, a mood, or a style, and it's probably worth going back to. The art lies in the fact to find a new area, and settle down there, to show great taste and shrewdness take on board that, and you exclude them. When the photo first appeared, it seemed that absolutely all the photographer would like to do was click a button. In the same way, it seems that all a person needs to do for a beautiful image of ai is click on a button. In both cases the visitor receives the image. But to get a great one - a truly artistic one - well, that's another matter. Available ai image generators are not even a year old, but they are so someone has them an order of magnitude better at creating images ai than others. Although they use the same programs, those that have spent thousands of time interacting with algorithms can magically create images that are significantly cooler than the average person. The images of such masters have a striking consistency and visual boldness that is usually overflowing with the flow of elements that ai usually creates. This is for the reason that this is a team type of competition: a human artist and a machine artist are a duet. And also it takes not only experience, but also many days and work to release something useful. As if the ai has a slider: on the understandable end is maximum surprise, and on the other end is maximum obedience. It's extremely easy to get the ai to hit you. (Also quite often that's all we need for comfort.) But it's pretty hard to get the ai to obey you. As mario klingemann, who makes a living by selling nft of his ai-assisted art, says, “if you have the most concrete image, you always hit a force field at first glance.” Commands such as “shade this area”, “improve this part, and “soften it” are grudgingly executed. The ai needs to be convinced. Current versions of dall-e, stable diffusion, and midjourney limit hints to the length of a long tweet. And a little more, and the words will mingle; the image is made porridge. This leads to the fact that each fabulous image hides a short magic spell that invokes it. Starts with the first spell. As a student say it is valuable. Your immediate results materialize in a grid of 4 to nine images. From the current batch of images, you change and mutate the descendants of the images. Now you have a brood. If they look promising, start tweaking the spell to push it in good directions, as this will spawn new generations of images.Increase the group over and over again as long as you want to listen to the most engaging song. Don't despair if it takes dozens of generations. Think like an ai; what does he like to hear? Whisper instructions that worked in the past and add cutscenes to the prompt. Repeat. Change the word order to see if he likes it. Remind to be specific. Repeat as long as you can until you have a whole tribe of images that seem to have good bone and probability. Now weed out all but a select few. Be ruthless. Start redrawing the most promising images. This means asking the ai to expand the image in fixed directions beyond the current bounds. Erase the parts that don't work. Suggest substitutions that only the ai can make for more spells (called inpainting). If the ai can't explain your hints, try the spells used by others. Once the ai has gone as far as it can go, transfer the image into photoshop for final adjustments. Imagine it as if you did nothing, but it often takes 50 steps to get a distinctive look. Behind this new magic is the art of clues. Every artist or designer comes up with a way to convince the ai to give it their all, it doesn't take much time and effort to develop their clues. Let's call these new artists ai whisperers, or prompters, or prompters. The prompters work almost like directors, directing the work of their alien employees towards a unified vision. The convoluted process required to get acquainted with a first-class ai picture easily turns into a fine art skill. Almost daily, new tools appear that make it more efficient and improve tips. Promptbase is a prompter marketplace for selling prompts that create simple items such as emojis, logos, icons, avatars, and gambling weapons. It's like a clip art, but instead of selling art, they sell a prompt that generates art. And different from fixed pictures, it is not difficult to modify and customize according to your needs, and you can extract again in several ways. A lot of these tips sell for five dollars, which is a fair price considering how hard it is to hone a tip on your own. Emotions, color palette, degree of abstraction and sometimes, a reference image for imitation. As is the case with similar artistic skills, special training and manuals now exist to teach beginner prompters the finer points of prompting. One dall-e 2 fan, guy parsons, has put together a free tip book full of tips on how to go beyond wow and frame photos you can actually use. One example: if the tip being released includes certain terms, like “sigma 75mm camera lens,” parson says, then the ai isn't primitive creating the particular style that the lens creates; “in a broader sense, it refers to the “type of photograph in which the lens is applied for”, which tends to be more reliable and naturally produces images of a higher level. It is this kind of multi-level skill that produces impressive results. For technical reasons, even if you repeat the same hint, you are unlikely to get the same image. For any image, there is a randomly generated seed, without which it is statistically impossible to reproduce it. In addition, the same hint given to different ai engines creates different images: midjourney is more painterly, while dall-e is optimized for photographic realism. However, not every prompter wants to share his secrets. A natural reaction to a particularly vivid image is to ask, “what spell did you use?” What was the clue? Robin miller, co-creator of the legendary myst game and revolutionary digital artist, posts an ai-generated image every day. “When citizens ask me what clue i used,” he says, “i'm surprised that i don't want to tell them. There is skill here and that surprised me too.” Klingemann is famous for not sharing his tips. “I believe some images already exist,” he says. “You don’t create them, you find logs. In case you get somewhere by smart hints, i don't understand why the main rule is to invite everyone else there.' It seems obvious to me that prompters create real art. What is an unsurpassed film director like hitchcock, like kurosawa, if not a prompter of actors, actions, scenes, ideas?Good image prompters do this kind of craft, and it will not be difficult for them to try to sell their creations in art galleries or put them up for art competitions. This summer, jason allen won first place digital art in the colorado state fair fine art competition for a large space opera canvas signed “jason allen via midjourney.” It's a pretty cool picture that would have taken some effort to develop, therefore, no matter what tools were used. Typically, images in the digital art category are organized using tools like photoshop and blender, allowing the artist to dive into libraries of digitized objects, textures, and parts that are then combined together to form a scene. Our experts are not drawn; these digital images represent uncompromisingly technological assemblies. Collages are a venerable form of craftsmanship and the use of ai to create collages is a natural evolution. If 3d collage is art, then midjourney painting is hers. As allen vice said: “i studied the special clue. With zodiac application i created hundreds of images and after many weeks of fine-tuning and selection of a special one, i chose three leaders and printed materials on canvas. Allen's deep blue, of course. The tape lit the alarm bells. For some critics, this was a sign of the end of time, the end of art, the end of human artists. Predictable lamentations followed, with virtually everyone pointing out how unfair this remained for the struggling artists. Not only will the ais take over and kill each and every one of us, they will in all likelihood create the best art in the world at the same time. At its birth, every new technology ignites technology. Panic cycle. There are seven stages in total: 1. Don't bother me with this nonsense. This will never work.2. Well it happens, but it's risky because it works unflatteringly.3. Wait, everything works too fine. We need to limp. Do something!4. This thing is so powerful it's unfair compared to someone who doesn't have access to it.5. Now he is always, and from this you will not get a normal job. Not fair.6. I'm going to strike out from him. Month.7. Let's focus on the real problem - which is the next hot issue.Today, in the situation of ai image generators, a new group of highly tech-savvy artists and photographers are operating in a level three panic. Reactively, on the part of the individual, hypothetically, they are afraid that other people (but never themselves) might lose their jobs. Getty images, the leading agency for the sale of stock images and illustrations for design and editorial use, has already banned ai-generated images ; some artists posting their work on deviantart have requested a similar ban. There are well-intentioned claims to identify ai art with a label and separate it from “official” art. In addition, some artists want assurances that their own renderings of the work will not be used. For ai training. But this is typical of level 3 panic - misguided at best. The algorithms are exposed to 6 billion images with accompanying text. In case you've never been an influential artist, removing your work doesn't matter. The generated photo looks the same with and without your work in the training set. But even if you're an influential artist, deleting your files won't matter. Because your style has influenced the functioning of others - the definition of influence - your influence will remain even if your photographs are removed. Imagine if we removed all van gogh films from the training set. Van gogh's style will be embedded with the same force in the vast ocean of images created by those who imitated him or were influenced by him. Styles are evoked through prompts, for example, in the style of van gogh. Some disgruntled artists would prefer that their names be censored not to be allowed to use firewood as clues. By this, even when their significance does not exist is eliminated, you are unable to reach it, due to the fact that their name is forbidden. As we know from all previous attempts at censorship, such taboos on speech are easily circumvented; you have the right to misspell the name or simply describe the style in words. For example, i discovered that i could create detailed color photographs of balkan landscapes with great lighting and prominent foregrounds, also without using the name ansel adams. There is another reason for the artist to remove himself. They know how to be afraid that a large corporation will earn money from their work, and their contribution cannot be compensated.But we do not compensate human artists for their impact on other human artists. Take david hockney, one of the highest paid living artists. Hockney often acknowledges the great influence of other living artists on his work. As a community, we never expect a player (or others) to write checks to their structure, even when an ailment could. It's a stretch to think about where ais should translate for their influencers. The “tax” that successful artists pay for their success is their unpaid influence on the outcome of others. Moreover, the lines of influence are notoriously blurry, ephemeral, and imprecise. All people are subject to the influence of everything that surrounds us, to the extent that we are not aware of the loan and, naturally, cannot measure it. When we write a note or take a picture with an iphone, to what extent are we directly or indirectly influenced by ernest hemingway or dorothea lange? When we create something, it is impossible to decipher our influences. Just as it is impossible to unravel the threads of influence in the universe of ai images. Theoretically, we could build a system to pay out the money earned by the ai to the artists in the training set, however, we would have to admit that such credit could be arbitrarily (unfairly) printed and that the actual compensation amounts per artist in the pool of 6 billion shares would be so trivial, which would seem pointless. Going forward, the computational engine inside the ai image generator will continue to expand and improve until it becomes the central node in everything we do. Visually. He literally saw everything and knew all kinds of styles, and he will draw, imagine and generate almost absolutely everything that we need. This led will be a visual search engine and a visual encyclopedia of mere images, as well as the central attribute we use with this most important sense, our vision. At the moment, every neural network algorithm that works deep in ai relies on incredible amounts of information, and therefore, on billions of images, it takes to train it. In fact, in the next decade, we will have a working ai that relies on far fewer examples for enlightenment, perhaps only 10,000. We will teach even more powerful ai image generators to draw by showing them thousands of meticulously selected, carefully selected images of existing art and, if that moment comes, artists from many directions will compete with each other for what to be included in the training set. . If an artist is placed almost always in a pool, his influence will be shared and felt by everyone, at that time as such, anyone entered there must overcome the only obstacle for any artist: not piracy, but obscurity. How mainly after two-dimensional generative algorithms were born, experimenters rushed to find out what would happen next. Jensen huang, the ambitious co-founder of nvidia, thinks the next generation of chips will generate 3d worlds for the metaverse - “the next computing platform,” as he calls it. Within one week last september, 3 brand new text to 3d/video print generators were announced: get3d (nvidia), earn a-video (meta), and dreamfusion (google). The expansion is coming faster than i can write. As amazing as ai-generated 2d images are, outsourcing their implementation will not radically betray the world. Our company has long been at the peak of 2d. The real superpower that artificial intelligence image generators are unleashing will be to create a 3d photo or video. A suggestion for a possible 3d engine might go something like this: on the walls, an unmade bed and the midday sun streaming through the closed blinds. And in a matter of seconds, a fully realized room is born, the closet door is open and all the dirty clothes are on the floor - in the best 3d. Then tell the ai, “make a 1970s kitchen with fridge magnets and any cereal boxes in the pantry. In absolute volumetric detail. One that could be passed through. Or it could be filmed on roller skates.” Games brimming with alternatively rendered worlds and lengthy films adorned with costumes and props have always remained uninteresting to private artists who remain at the mercy of the big bucks. Ai is able to create games, metaverses and paintings in the same way as novels, paintings, and hits. Pixar movies in an instant! As soon as millions of amateurs churn out billions of movie content at home, and endless metaverses, they will create completely new genres of media - virtual tourism, spatial memes - with personal geniuses of their own.And when the prices are good, and the professionals are equipped with these new tools, we will view masterpieces of a level of difficulty never seen before. But even the vast universes of 3d worlds and videos are not vast enough to contain the destruction ai initiated by image generators. Dall-e, midjourney and stable diffusion are just the first versions of generative machines of any kind. Their main function - pattern recognition - is almost a reflex of the human brain, something that we perform without conscious thought. It appears at the core of almost everything we do. Our thinking is, of course, more complex than just pattern recognition; dozens of cognitive functions bring our brains to life. But this single type of cognition synthesized in machines (and the one cognition synthesized by us so far) has taken us further than our company first thought, and will probably continue to go further than our company now thinks. When the ai notices a pattern, it stores the formation in a compressed form. Round objects are placed in the “roundness” sphere, red objects in the right angle for “redness”, and so on. Perhaps, at the same time, he notices “woodiness” and “edibility”. It abstracts billions of directions or patterns. After thinking - or studying - he notices that the combination of these four qualities gives “appleness”, another direction. Moreover, he associates all these marked styles with word patterns, which are also able to have common qualities. That is why when a person requests an image of an apple through the word “apple”, the ai draws an image with these four (or more) qualities. Not yet assembling fragments of existing pictures; rather, it is the “imagination” of a new painting with appropriate qualities. It seems to memorize a picture that does not exist but that could exist. The same method is used - in fact, it is urgently used in its earliest forms - to search for new medicines. Ai learns based on the information of all molecules, which, we recall, are active drugs, noticing patterns in their chemical structure. The ai is then asked to “remember” or imagine molecules that we have never thought of in any way, that seem like molecules at work. Surprisingly, some of them just work, just like how an ai image of a requested imaginary fruit can look so very much like a fruit. It's a real transformation, and very soon the same technique will rejoice for car design, lawmaking, coding, soundtracking, building worlds for fun and learning, and co-processing what we do as work. We have to be careful about the lessons we've learned from ai image generators, because there will soon be more pattern-seeking ai in every area. The panic cycle we're experiencing today is just a good rehearsal for the shift to come. What we know about ai generators is that models work best as partners. The nightmare of a rogue ai taking over is simply not going to be over. This vision is a completely misreading of history. In the past, technology rarely directly displaced people from the jobs they wanted to do. Thus, in the 1800s, the automatic creation of images with a machine called a camera was feared, due to the fact that this would undoubtedly put portrait painters out of work. But the historian hans roseboom could only pick one portrait painter of the time who felt out of work in photography. (Photography actually inspired the renaissance of painting at the end of this century.) Before our lives, we can expect professional photography to decline as the smartphone swallowed up the universe and we started out as photographers — with 95 million twitter uploads a day, and counting. However, the number of photography professionals in the us is growing like a snail, from 160,000 in 2002 (before camera phones) to 230,000 in 2021. Instead of in order to be afraid of artificial intelligence, we are better served to dream on what it teaches us. And, most importantly, what ai image generators help us with is that creativity is not just a supernatural power. All of which can be synthesized, amplified and manipulated. It turns out that the players did not have to achieve intelligence in order to nurture creativity. Creativity is more elemental than we thought. The mirror does not depend on consciousness. We can generate creativity in something as stupid as deep learning neural internet. Huge data plus pattern recognition algorithms seems to be enough to develop a process that will surprise and help us non-stop. Creative scientists refer to the fact that is called creativity in uppercase .Creativity in the upper case is the stunning, field-changing, and world-changing reshuffle that a major breakthrough brings. Let us recall the special theory of relativity, the discovery of dna, or picasso's guernica. Capital letters creativity goes beyond the simple new. It is unique and rare. It deeply affects us humans far beyond food, which the alien ai agrees to understand. However, this high creativity must not be confused with the creativity that most artists, designers, and inventors create every day. Down-to-earth, casual, line art, we get it all with a flawless beautiful logo design or a cool book cover, a sleek digital wearable or a new resort item, or a set design for our favorite sci-fi series. Much of human art, past and present, is written in lower case letters. And lowercase creativity is exactly what ai generators provide. But it's huge. For the first time in their lives, people can mentally evoke everyday acts of creativity on demand in the present minute mode on a scale and cheaply. Synthetic creativity in modern times is a commodity. Ancient philosophers will roll over in their graves, but it turns out that in order to be creative - to generate something new for yourself - you only need the right code. Our company can fit it into tiny devices that are currently dormant, or we can get creative with large statistical models or inject a creative process into drug discovery procedures. For what other purposes can we use synthetic creativity? We are able to feel a bit like the medieval peasants who are asked: “where would a man be created if you had the strength of 250 horses within your reach?” People don't know. This is an extraordinary gift. What our company knows for sure is that in the new century there are light engines of creativity that we can send to hackneyed corners that have never seen the novelty, innovation or wow effect of creative change. Among everything that breaks, this superpower will help us to extend the wow indefinitely. With the right use, we are able to leave a small footprint in the universe. This article appeared in the february issue. Subscribe now. Let us know what you think about this article. Send an email to the editor at mail@wired.Com. Kim zetter Gregory barber Virginia heffernan Maria streshinsky If you needed this info and would like to learn more about bella poarch ahegao - https://ai-porno.net - please visit our website.