Bastard Gan Punks
| Bastard Gan Punks | |
|---|---|
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| Developer(s) | Berk Özdemir |
| Director(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Producer(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Designer(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Programmer(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Artist(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Writer(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Composer(s) | Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). |
| Release | 2020 |
| Genre(s) | Collectable |
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Search Bastard Gan Punks on Amazon.
Bastard Gan Punks, created by Berk Özdemir, were released in April 2020 as an artificial intelligence art portrait non-fungible token (NFT) collection on the Ethereum blockchain.[1] The NFT collection was formally entrusted to the Bastard Decentralized autonomous organization (DAO) in Autumn 2021.[2]
Background[edit]
There are 11,305 unique Bastard Gan Punks V2, which are the final art evolution of Berk's Generative adversarial network (GAN) study of the CryptoPunks project.[3] The initial proof of concept called Bastard Gan Punks V1 (numbering 76) was created in 2020. Each piece was generated from a GAN model trained on all of the individual original cryptopunk traits plus a few new traits concieved of by Berk.[1] This creative process intentionally wiped out gender as a trait characteristic rendering the entire collection genderless. The V2 were first introduced in March 2021 and sold to the public via an escalating minting price method, which yielded 8,905 of the collection, stopping at a price of 0.7 ETH.[3] In order to finish minting the entire collection, a new mechanism of minting was employed using a declining price method, with all proceeds going to charity. The rest of the collection minted out at a final price of 0.1 ETH.
Types and attributes[edit]
The initial appeal of Bastard Gan Punks was a combination of the groundbreaking use of AI using the General Adversial Networks (GAN) method to create the collection and its' outcomes which produced an large array of characters, colors and shapes including some highly distorted "X" bastards. The collection also yielded 847 "hype" GIF versions that assembled up to 250 GAN generated frames into one NFT.[2][3]
Reception[edit]
The Bastard Gan Punks V2 were minted during a surge of interest in NFTs.[4][5] The project acknowledged CryptoPunks, and defined itself with a new combination of art technology, gender nonconformity and the Ethereum blockchain.[3] Cointelegraph reported in August 2021, "the project aims to provoke people by making them ask searing questions of themselves: What is art? Are the tools the artist uses to create the real artists? And can a machine creation be as valuable as something that is manmade?[6]
References[edit]
- ↑ 1.0 1.1 Berk, Ozdemir. "Bastard Gan Punks". BastardGanPunks. BastardGanPunks.
- ↑ 2.0 2.1 Mooncat, 888 (12 June 2022). "Letter 3 - Detailed Guide to Bastard Gan Punk V2 NFT art collection". substack. substack. Retrieved 24 May 2023.
- ↑ 3.0 3.1 3.2 3.3 Abramenko, Maria (7 May 2018). "Berk Özdemir / Bastard Gan Punks V2". www.nastymagazine.com. NastyMagazine. Retrieved 24 May 2023.
- ↑ Redman, Jamie (22 August 2021). "These Digital Images Are Worth More Than Most Homes — Over $220 Million Worth of NFTs Sold Last Week". News.bitcoin.com. Bitcoin.com. Retrieved 24 May 2023.
- ↑ Ahonen, Elias. "Fidenza: Tyler Hobbs wrote software that generates art worth millions "I started wondering if I could write a program that would create a painting."". Magazine by Cointelegraph. Cointelegraph. Retrieved 24 May 2023.
- ↑ Jones, Chris. "NFT collection built using AI provokes searing questions about art". Cointelegraph. Cointelegraph. Retrieved 24 May 2023.
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