AI-generated art NFTs have potential to disrupt the million-dollar NFT sector as artists and collectors find new meaning and utility in images produced by both machines and humans
during its fourth annual Art+Tech Summit that took place this past August.
Claire Silver, an AI-collaborative artist, told Cointelegraph that AI-generative NFT art is a relatively new genre, noting that the basic principle is that art is created in tandem with some semblance of artificial intelligence, like GAN: Fisher explained that Eponym was built on algorithms for personalized generated art that lets people create art by interacting with a computer. “Eponym is a collaborative NFT project. Users access it by coming to the website and typing any phrase or word into a text box. The AI then generates artwork based on the text entered.” Fisher added that each text prompt can only be generated once. “There is only one Eponym called ‘Bitcoin,'” he said.
Versus Labs added that Metascapes’ AI learns as it goes, noting that the generator that outputs data gets better over time since two models of learning are being used in tandem. “The generator outputs random noise at the beginning and the discriminator model tells the generator how to improve the output, so it looks more like the training data. This cycle continues, ensuring both models improve over time.
“The human needs the algorithm and the algorithm needs the human. For me, this new role meant data collection, writing code, curation, the inspiration to create a theme and, most of all, ‘coaching’ an algorithm. The process is dynamic and the outcome collaborative.”In terms of how generative art NFTs differ from other nonfungible tokens, “Kami was Here” explained that each result is fully unique since it is birthed from an algorithm.
As such, Newburn mentioned that Metascapes carefully curates each of their collections. “Our AI team has generated tens of thousands of images. Not all of these will be showcased in our mints. If we aren’t satisfied with the category, we strategize and retest what categories will work with each other. Our AI has learned from multiple tests.”
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