{"id":12089,"date":"2022-07-07T20:30:57","date_gmt":"2022-07-07T20:30:57","guid":{"rendered":"https:\/\/nftandcrypto-news.com\/art\/the-next-big-thing-in-nfts-artificial-intelligence\/"},"modified":"2022-07-07T20:30:59","modified_gmt":"2022-07-07T20:30:59","slug":"the-next-big-thing-in-nfts-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/nftandcrypto-news.com\/art\/the-next-big-thing-in-nfts-artificial-intelligence\/","title":{"rendered":"The Next Big Thing in NFTs? Artificial Intelligence."},"content":{"rendered":"
\n

Artificial intelligence has come a long way since games like Akinator<\/em> <\/em>started terrifying people on the internet in the mid-2000s. Thankfully, AI\u2019s progression hasn\u2019t gone in a direction that would see a real-world equivalent to the Geth rising up. Today, AI is used in many practical settings \u2014 like in our virtual assistants and in our cars \u2014 as well as in more creative settings, such as music production, writing, and yes, even NFTs. <\/p>\n

In the NFT space, AI-adjacent technologies have been used in generative art projects like Art Blocks. Herein, users can browse the site\u2019s marketplace for styles they like, purchase them, and receive generative art derived from that style in return. But what of NFT art billed specifically as created by an AI?<\/p>\n

In the past few months, one specific creative application of AI technology has gone viral: image creation. Training AI models to turn text-based prompts into images is nothing new. But we\u2019ve recently seen images generated via OpenAI\u2019s DALL-E program flood our feeds as such AI-based tools become more user-friendly. <\/p>\n

According to OpenAI\u2019s website, DALL-E works by using its vast language database to turn text-based inputs from users into easily recognizable images matching or approximating the text input. This allows DALL-E to recognize parameters within the text-based input, such as the spatial relationships of the objects specified in the input as well as the individual properties of objects included in the prompt. Interestingly enough, nearly every pop culture character you can think of is included in DALL-E\u2019s data banks.<\/p>\n

Source: DALL-E mini<\/figcaption><\/figure>\n

Many NFT collections (particularly PFP NFT collections) include thousands of unique images. As such, generating NFTs via AI tools like DALL-E seems like a no-brainer with regard to maximizing efficiency. However, as compelling as it may seem to feed absurd prompts into DALL-E and transform the output into NFTs, the platform raises some ownership-related questions for those hoping to utilize this technology to create an NFT collection. <\/p>\n

Despite the fact DALL-E grants users a creative commons license to use images generated via the AI \u201chowever they please,\u201d copyright law on works generated by non-human entities is still rather murky. Let\u2019s take a look at the famous \u201cmonkey selfies\u201d copyright dispute as an example. <\/p>\n

In 2011, wildlife photographer David Slater engineered a situation where a community of crested macaques in Indonesia was able to take \u201cselfies\u201d with his camera equipment. While Slater claims ownership of the photos, the U.S. Copyright Office states that works by non-humans are not eligible to be copyrighted. Thus, the photos ended up in the public domain.<\/p>\n

\"\"
Source: David Slater via Wikimedia Commons<\/figcaption><\/figure>\n

So where does this leave work created by AI? AI-created work seems to be more or less in the same boat as animal-made art, as it lacks the \u201chuman authorship\u201d needed to bestow rights intended to protect the artist.<\/p>\n

Humans in the loop<\/h2>\n

Does this mean that any art generated by an AI would prove to be an unsellable product? Far from it. It all depends on how the human creators of a project package it.<\/p>\n

For example, Untitled Frontier utilized AI and machine learning models to build out pieces for its NFT collections, but these tools supplemented work wholly made by humans. With this technology at their disposal, Untitled Frontier was able to create a way for writers to sell NFT merchandise of their work by creating pieces of art inspired by short stories in their ongoing series.<\/p>\n

\u201cAt the end of the day, the \u2018machine\u2019 still has to be guided by a human: whether that\u2019s for specific outputs, or for inspiration,\u201d said founder Simon de la Rouviere in an interview with nft now. \u201cUltimately, the creator still has to choose what eventually goes onto the proverbial canvas or manuscript.<\/p>\n

\"\"
Source: Botto<\/figcaption><\/figure>\n

Keeping humans actively involved in these AI-driven projects seems to be a re-occurring theme within the space. This is evidenced by projects like Botto, which relies on consensus \u2014 as well as Botto\u2019s built-in capacity for learning and self-improvement \u2014 to steer the direction of the AI artist\u2019s output via community feedback. This culminates in the minting and sale of a single NFT that\u2019s gone through considerable amounts of scrutiny by the very human members of the Botto community.<\/p>\n

Despite the massive strides AI-powered projects have made in the art world, particularly in the NFT space some members of the AI enthusiast community speculate whether the AIs are actually creating anything <\/em>in the first place. \u201cAI agents are not creating art; rather, they are replicating art,\u201d wrote Will Chambers in an article on Towards Data<\/em> Science<\/em>. Herein, he detailed how researchers were able to develop a Generative Adversarial Network (GAN), \u201ca type of artificial intelligence algorithm in which two neural nets play off against each other to [\u2026] generate works of art,\u201d Chambers said.<\/p>\n

These GANs, also known as Creative Adversarial Networks (CANs), Chambers argues, don\u2019t make capital-A \u201cArt\u201d in the way that humans do. They may be able to learn and create, but the resulting work lacks the essential human component that separates craft from art. \u201cWhen a CAN agent generates a new image, it is not drawing upon its personal or collective experiences, neither conscious nor unconscious,\u201d he said. \u201cIts generated images are predicated on human experiences, as manifest in the symbols and archetypes captured in our human artwork on which the CAN agent is conditioned and trained.\u201d<\/p>\n

The future of AI in NFTs<\/h2>\n

But is art the only application of AI we could be seeing in the NFT landscape moving forward? Just as NFTs encompass far more than art, so too does the use of AI within the NFT sphere.<\/p>\n

For example, we have projects like Alethea and Altered State Machine that allow users to embed their existing NFTs with an AI. According to their respective websites, doing so grants a user\u2019s NFT the capacity to learn and grow over time, as well as providing users with more meaningful ways to interact with their NFT via the metaverse. Additionally, these AI-embedded NFTs are touted as appreciating in value not just in response to the market, but also thanks to how far along said NFT is in its journey of evolution, learning, and self-amendment.<\/p>\n

With AI, budding artists, creators, and anyone else hoping to make a dent in the NFT space and beyond don\u2019t have access to a tool that\u2019s simply just going to work for them, but with <\/em>them. As de la Rouviere put it in a post on his blog, \u201cThe dream of an autonomous artist is exciting because it mediates a conversation between us and technology. To make art, autonomous, feels like creating life: a machine in the aether that is trying to tell us something. We become symbiotic, like bacteria in our biological bodies, in creating a form of life that talks to itself, and to us through art.\u201d<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence has come a long way since games like Akinator started terrifying people on the internet in the mid-2000s. Thankfully, AI\u2019s progression hasn\u2019t gone in a direction that would see a real-world equivalent to the Geth rising up. Today, AI is used in many practical settings \u2014 like in our virtual assistants and in […]<\/p>\n","protected":false},"author":1,"featured_media":12090,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-12089","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-art"],"yoast_head":"\nThe Next Big Thing in NFTs? 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