Basic Information
Title: A New Kingdom #1311
Artist(s):
Damien Hirst
Date Created: 2016
Unframed Dimensions: 8.25 x 11.75 in.
Medium: enamel paint on handmade paper
Inventory ID: Hirst-2016-01
Description
signed lower right on the reverse in graphite
numbered, titled, and dated lower left on the reverse in graphite
stamped on the reverse with artist’s stamp in ink
Description is courtesy of the artist’s website:
“The Currency is a collection of 10,000 NFTs each of which correspond to 10,000 unique physical artworks. Below are details of how all this works, but in essence, the collectors will have to decide over a period of one year whether they want to destroy the digital artwork and keep the physical, or vice versa.
Damien Hirst views The Currency as not just constituting individual works of art on paper and as NFTs but also the whole project as a work of art in which people participate by buying, holding and selling the artworks. The Currency challenges the concept of value through money and art. An experiment in belief, every participant is confronted with their perception of value, and how it influences their decision. The Currency tests the boundaries of the digital and physical world and our role in both. Ultimately, the collector decides how to use their art/currency. The limited time of the exchange period ensures that even doing nothing is doing something.
The physical works, which are stored in a secure vault in the UK, are now brought to life through their launch on Palm, a new environmentally friendly NFT ecosystem connected to Ethereum. Palm is 99% more energy efficient than Ethereum or Bitcoin.
The physical artworks were created by hand in 2016 using enamel paint on handmade paper. Each artwork is numbered, titled, stamped, and signed by the artist on the back. Additional authenticity features on the artwork paper include a watermark, a microdot and a hologram containing a portrait of the artist. On each artwork, no colour is repeated twice. The colour of some spots on a particular artwork may appear to be similar, but they will actually be different shades. The titles are generated from machine learning being applied to some of the artist’s favourite song lyrics.”
Detail images of the work
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