Art in the Age of Algorithms
summary
Walks through hands-on experiments with MidJourney v1→v7 showing a shift from glitchy fragments to near-photorealism and the attendant deepfake risk, builds a 12-image Flux model (Black Forest Lab) that immediately generates portraits of the author across life stages, assembles a 25-step zoom-out sequence exported to Adobe After Effects, layers AI sounds from Cling AI and I zuno, and cites GAN work trained on ~15,000 art images that sold for $430k; conclusion: tools enhance creativity, not replace intent.
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chapters (18)
- 0:00Introduction and AI art tools
- 3:25MidJourney evolution and aesthetics
- 6:19Impact on creativity and job concerns
- 9:32Personal life timeline experiment
- 11:28Zoom out videos and sound design
- 12:10History of computer art pioneers
- 15:43Authorship and machine creativity
- 17:52AI art dangers and opportunities
- 18:13AI-generated art at Christie's
- 19:19Mario Klingemann's neural portraits
- 20:49Adah robot artist controversy
- 22:14Spotlight on current AI artists
- 25:59Future of AI and art discussion
- 26:20Q&A on AI art and education
- 28:51Technological and artistic perspectives
- 31:56Is AI art really art?
- 33:44Overcoming fear of AI tools
- 34:47Closing remarks and thanks
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