Eps 1: How AI generators have taken over the world
| Host image: | StyleGAN neural net |
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| Content creation: | GPT-3.5, |
Host
Greg Dean
Podcast Content
It is simple to use, only requiring that you upload an image, and then the tool will create a new image from the original. Like some other AI art generators, One More AI Image Generator is simple for anyone to use. It also can adopt various art styles reliably, and it can output images that are more photorealistic.
AI does more than just work alongside artists to create novel works and inspire new ideas, but can help break down scams and identify artistic counterfeits that contaminate the art world. Artificial intelligence is also playing a growing role in the creative industries, ushering in a new era of AI-generated art. AI technologies and tools are generally accessible by everyone, helping create a whole new generation of artists. By mastering tools for creating artificially intelligent generated art, and creating works when the field is still very much in its early days, you could be helping push the boundaries of human creativity.
The future of AI generated art is still unclear, but the AI technologies that we have now are truly capable of creating images, videos, or texts that could trick us, humans. AI-generated art could be used to produce lifelike images or videos that trick humans into believing something that is not true. To produce AI-generated art, artists utilize AI as a tool for creativity, and they work with algorithms to establish a particular set of rules by which the machines will analyse thousands of images in order to understand a particular process for creating, such as a specific style or aesthetic.
These creative AI tools can be used by anyone to produce art, which often turns into NFTs. AI-generated art is also used to generate new forms of music and poetry. AI algorithms can produce images or videos according to a collection of parameters, or they can produce new images by combining and altering existing images.
Generative AI refers to programs that can use existing content such as text, sound files, or images to generate plausible new content. Generative AI allows computers to learn the basic patterns associated with an input, then use it to generate content similar to it.
Learning the connections between words and pixels, the AI creates an entirely new picture. The app uses two machine learning techniques, which combines neural networks for generating images, and algorithms for interpreting text descriptions. The system is capable of creating vibrant, lifelike photos, paintings, and illustrations in response to a string of text or uploaded images.
Neural networks can be used to create images or videos mimicking a specific artists style, or create images or videos that are similar to a specific kind of art. Some possible practical uses include producing particular images for illustration in news articles, or creating inexpensive prototypes in the process of designing research and development. One could develop images modeled after others, create unique graphics simply from descriptions of the text, or even go the whole way and learn to creatively code and make art purely from code. A powerful piece of software does not only produce a picture in one style, one can add various artistic techniques into their query, inputting styles like painting, oil paintings, a model made from plasticine, knitting from wool, drawing on cave walls, or even like a 60s movie poster.
AI text-to-image generators have a ways to go before they are capable of creating works of art rivaling the works created by humans. Some AI image generators, such as DALL-E 2 and Wombo, are still in restricted beta -- meaning that only a select number of people are allowed to use certain AI image generators.
AI image generators are also going to force artists to rethink how they relate to their art. AI-generative artists--or whatever else will be called them--will occupy a part of this space.
The images that people are trying to generate using these platforms are not always interesting. While images can be engaging, and the process of creating them almost addicting, they also bring a whole lot of questions around the way that these platforms might be used, and the things that might be asked to be created. They may even be used to create content for false media, and are the technologies behind deepfakes.
It is not clear exactly how censorship would work, given the speed at which the image generators could spew new images. Not only is the new text-to-art generator unavailable to the public , but it is not capable of generating actual faces, nor of creating NSFW images.
In the words of , with great power comes great responsibility -- and it seems that OpenAIs DALL*E 2 is taking steps to mitigate the potential for this tool being misused. Right now, the Internet is positively wild about a new text-to-art creator - and it is easy to understand why. Bradley says that creating strong, useful images is still going to take lots of fine tuning once you have got something generated in the first place. Creating has implications beyond the use of AI-generated images for politics, if users are creating deepfakes with the intent to hurt others, Gunkel says.