The Evolution of Generative Art
summary
Panel argues generative art gains legitimacy and a market fit on Tezos and FXhash marketplace, with artists reporting prints framed for galleries and collectors paying real sums. Tools discussed include Midjourney and Stable Diffusion (one speaker made ~7,000 images), the AI models rely on a training set of 5.6 billion image pairs, and prompt craft becomes a new skill. Concerns flagged: plagiarism of open code, an emerging crypto winter, and experiments with algorithmic curating and transparent bias control.
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chapters (15)
- 0:00Generative art introduction
- 1:05Defining generative art
- 3:59Blockchain’s impact
- 7:12Historical roots
- 9:17NFT legitimacy experiences
- 12:34FX Hash evolution
- 15:26Academic rhetoric
- 19:19Legitimacy challenges
- 23:17Audience engagement
- 26:51AI tools role
- 33:51AI ethics concerns
- 38:15Value evaluation
- 41:29Emotional connection
- 42:32Q&A collectors curation
- 46:46Closing remarks
