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I'd like to invite you to continue this conversation in our Community. All you need to do is to register a free student account: Generative AI can be called many things depending on your point of view: machine, thief, tool, medium, collaborator, muse and even artist. In this video, I will try to find answers to a lot of complex things and I will attempt to judge this technology with an open mind. In the last couple of weeks, I spoke to many amazing artists and scientists about my mixed feelings about generative AI. Join me to hear their thoughts, my advice to creators and predictions on what’s to come. This video is NOT monetized. I didn't make this video to profit from it. I put a lot of effort into making it and hope to bring more awareness to this issue. I really appreciate it if you can share it with your friends/followers! FOLLOW US PODCAST Apple - Spotify - REFERENCES: Artists: Jon Lam - Patrick Brown - Steven Zapata - Grzegorz Domaradzki - Levente Szabo - Scott Eaton - SamDoesArts - Bobby Chiu - JazzaDraws - Jake Parker - Kirsten Zirngibl - Apple example (latent image) by Corridor Crew: Websites: Have I Been Trained - Nightshade - Glaze - FlippedNormals - UK House of Lords publication on LLMs and Gen AI - #_idTextAnchor002 Adobe's AI Ethics - Fake Art Book - AI Art and its impact on Artists - Videos & Podcasts: Dana Rao on The Verge - Flipped Normals (Henning and Morten) - Studios are Choosing AI Over Artists - Why We Are Pro Artists - The AI Art Apocalypse - Sam Hamper - PewDiePie's art journey - Draftsmen (Stan Prokopenko and Marshall Vandruff) - Dave Rapoza and Steven Zapata - The problem with AI-generated art | Steven Zapata | TEDxBerkeley - The End of Art: An Argument Against Image AIs - 00:00 Introduction 00:59 AI Potential 01:40 Data Set / Image Generation 03:44 Text to Image Models 08:29 AI Style Mimicry 13:07 Intellectual Property 16:16 Nightshade 17:27 Commercial use of AI 22:48 Industrialized Art 26:44 Artists vs AI artists 32:06 AI Copyright 33:44 Ethical AI 37:24 Future in Art
