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A new collection of Serial Killers with AI

A new collection of Serial Killers with AI

In a new NFT collection titled U.S. Serial Killer by State that surfaced on OpenSea, an unknown team of two programmers using AI and machine learning technologies. In a similar fashion to the MyHeritage and TikTok effects, old mugshots have been brought to life, and some of them are rather scary.

A quite contentious collection has recently been posted to OpenSea under the designer name PROLIFIC. The project’s first public collection, named “U.S. Serial Murderers by State,” consists of 50 collectible cards, each with a video created utilizing AI and machine learning technologies to repair, enhance, and bring to life historic images of serial murderers. Some of the artwork is extremely impressive.

“The collection may raise some eyebrows,” the authors write on their website, “but our goal was not to celebrate criminals but to display breakthrough technology,” which sounds sensible, but NFT collectors’ reaction remains to be seen.

Following the release of documentaries such as True Crime on Netflix and other platforms in recent years, the “detective and crime” entertainment industry has developed dramatically, perhaps prompting collectors to recognize the value of such valuable items.

The collection will be released in 10 batches of five cards, with each batch featuring one of the top ten most noteworthy murders in the United States. The number of copies accessible diminishes with each card, making it impossible for anybody to own the whole collection. The rarity of each card is determined by the number of victims, the method of execution, and the outcome. Owners of the whole collection gain extra perks and are placed on a waiting list for future AirDrops.

The creators position themselves as the “Prolifics” brand in the “Top100” niche market, using NFTs to establish “Top100” lists over time based on their research and analytics.

The first drop on OpenSea has been announced, but the cards have yet to be published.

About Nicolle

She is an Indian Freelance writer. She loves thinking, learning, and writing about all things Web3.

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