AI × Man
Deep divers in the creative AI – its origin, how it works, conflicts with it, and the future.
In 2018, a portrait, which was named Admand de BelmiSold at 2 432,500 at a auction house in New York. And you would be surprised to know that a human artist did not create a portrait – it was created by AI algorithm trained on thousands of classical pictures. In the same year, another painting which is the title Passenger’s memories iBy an artist named Mario Clingman, 000 40,000 (about $, 53,837). If you are thinking that AI is limited to photos and portraits, you are wrong. AI has begun strengthening itself in other creative fields such as writing, music and even architecture. In the year 2018, Ross Gadoon 1 road The first novel became fully manufactured by AI. When it comes to music, tools like Openi’s Jok Box and Barks Snois can be a game changer in the near future. Looking at AI in architecture, Dedals Pavilion (2016)A 3D printed architectural installation built by robot, it is also a significant project. There were some examples mentioned above, where AI has been used in the creative industry. Although most AI technology is still improving, just imagine what could happen if we reached a better and stronger version of AI software in the near future. Will it replace human creativity completely? What is the future of creative AI? How did it begin? What challenges and conflicts are we facing AI in creativity? And if a person cooperates with AI, what can be the result? These are all questions that we will find in this article.
The origin of the creative AI
Throughout history, machines have been replaced by working jobs and frequent work. But creative jobs, such as writing, art and design, are widely through technology. AI did not reach the surface of the tools like Madjorani or Dalm at night. AI-driven art has decades history. In the 1970s, Artist Herald Cohen began to develop AaronWhich was one of the early art -generating programs that can create abstract art. In 1979, he created a 100 feet wallWhich is placed in the San Francisco Museum of Modern Art. In 2014, we have seen a fundamental development in the AI art system. Introduced by an American computer scientist named Ian Goodfill Generatito Adreasile Network (GANS)Which also strengthens many systems of art generation to this day. In 2015, Nerve -style transfer Was introduced. It mixed the style of an image with the contents of the other and was the first technique of AI art that gained public attention. In 2018, Admand de Belmi Was sold In an auction; It was also created using GANS. Then, in 2021, we saw the first well -known instant -based text -to -image model called dall · eWhich was made by the Open, and it accelerated the AI image Generation Revolution. In 2022, Stable Was created; This was the first open source AI image generation tool. And now, in recent years, we have seen new versions of existing tools emerging, while new tools try to make their place in the market.
How does the creative AI work?
How does the creative AI actually work? Creative AI is a sub -set or branch of Generative AI. The AII image starts with one of the first major systems of Generation, called Generative Advisor Networks (GANS).
GANS contains two main ingredients: A generator and a discrimination.
The generator tries to create realistic images, and the discriminator’s job is to distinguish between actual images (from training data) and fake (produced by the generator). Through repeated feedback by the discriminator, the generator is improved as long as he can fool the discrimination. The loop of this opinion helps GANS quickly created realistic images.
Go to the models, the technology behind the tools such as the stable and the Dell -E. A famous reference to Michelanjillo (Italian sculptor) explains how the Battle models work.
There is a sculpture inside each block of stone and it is the sculptor’s job to discover it.
Think of the AI image generator tool as a painter, but instead of starting with empty or clean canvas, it starts with noise -like noise -filled canvas on TV (Gosi noise). After that, slowly and slowly, the AI noise steps step by step unless there is a picture that is similar to your gesture. These models learn this skill during training. They are trained in millions of images, and they learn how to add noise to the image, and more importantly, how to overturn the actual iconic recovery. So when you give hints like “A beautiful sunset above the sea”. The model starts with random noise and gradually makes a statue of the image you imagined.
The Most to help guide the image Generation process, mostly use a system called a system clip (contradictory language icon pre -training). This ensures that the created image is loyal to your indicators.
Note: In this section, it was made easy to clarify and make it easier for the audience to understand the AI image generators who did not know or know. For those who want more detail and explanation, more studies and research are needed.
Creative AI’s challenges, conflicts and morals
Day -to -day AI tools are becoming increasingly creative. Some people are welcoming this creative revolution, while many are worried about it. For a long time, creativity was considered a unique human being, but today the AI is challenging this belief. People in the creative industries are seeing their jobs in front of their eyes through AI. As the proverb is, there is a great deal of responsibility with great power. Since AI tools are developing in creative domains, they also bring legal, moral and social challenges. One of the major problems with AI art is copyright and intellectual property concerns. AI models are trained in large data sets, which are often deposited from the Internet. In January 2023, Getty Images tried to be tried on Stability AI Saying that Stability AI used more than 12 million images of Getty Images to train its model. In the same year, Many visual artists filed a case Against some AI companies, claiming that their art was used in training AI models without their consent. Another question is about reality. Is Ai Art really real? A short answer is “not fully”. As I said earlier, the AI model is trained in large data sets taken from the Internet. AI samples are found and produce new pieces that combine all the things on which it is trained, and it creates something unique that does not exist. It also raises some deep questions about the nature of creativity. What is the creativity when someone can imitate it? Or when AI creates an impressive piece of art, then who is the real artist – AI or man who indicated AI to make this piece? These are questions that do not answer, and they deserve carefully and thoughtfully.
The future of creative AI
No one knows how the AI will be ready in the future, but we know that it will meet with new advanced technologies like quantum computing, AR/VR, and web 3, which can be described as “scary good” A “in two words. As it makes it easier and more effective, it is easier and more efficient, even more effective, and even more efficient, so too effective. Individuals are using it to improve their work. Ted Surandoos They say that the AI will make amazing stories cheaper, keeping the budget low or at least not too much. During this revolution, AI will not be limited to studios and offices only. It will also do things that are unable to do machines today. Imagine that a robot is washing all your dishes, taking clothes to wash, or just cleaning your floor. The possibilities in the future are infinite.
Conclusion
It is very likely that the AI will take the game of creativity to the whole new level, and this will not completely eliminate human creativity. AI still cannot make art like a human artist because AI has no emotions, no soul, and no real imagination. It only learns from patterns and produces art works based on what has been seen. At the same time, it cannot even realize the purpose and real emotions in its art. On the other hand, a human artist can create emotions, intentions and meaning through his work.
But imagine what happens when a creative man cooperates with AI. The artist brings emotions and purpose while AI acts as a tool to improve art and impress the artist. Mighty, they can create work that will be noteworthy.
When we move towards the future, we should use and form AI with care. The future of creativity is now in our hands, but the question is – will we continue to use AI as our work device or let it explain what creativity is?