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Deep Learning and Infinite Drake with New Models

Crossover episode with our beloved Channel co-conspirators New Models, where we break down the sudden spike of interest in AI spawned music, our projects Spawning and Holly+, and what these major developments may or may not mean for art and music.

Amidst the hype and doom published on this subject it is such a pleasure to dive deep with some of the most thoughtful people broadcasting about art and culture.

Subscribe to New Models: https://www.patreon.com/newmodels 

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Deep Learning and Infinite Drake with New Models

Comments

centaur AI ftw :)

Mat

Impressive episode!

Wiktor Gajewski

I thought the summary was pretty dang accurate, but the discussion of "centaur AI" sounded like a hallucination or mis-transcription. But I went back to the audio file, and sure enough, at minute 49, "I tend to veer towards this idea of *centaur AI*...'

Canton Becker

As an experiment (and because I was doing a bad job summarizing this podcast to a friend myself) I fed this podcast into Whisper to get a transcript, ran it in chunks through Chat GPT4 to get a 24 bullet point summary, and then ran those bullet points back into GPT to get an overall summary. BTW loved this episode. AI, ART, AND THE CHANGING CREATIVE LANDSCAPE Matt Dryhurst and Holly Herndon discuss the evolving impact of AI on creative production, emphasizing the importance of understanding and shaping the platforms and protocols that dictate art's aesthetics and outcomes. They address the growing homogenization of output influenced by platforms like Instagram, the blurred lines between technology, art, and everyday life, and the significance of understanding the network of relations around art in the digital age. The conversation delves into the implications of AI-generated art, such as the concept of scarcity in art and the potential of AI-generated art to change traditional notions of aesthetic value. They explore their project "Spawning" and AI-generated voice product "Holly+," discussing the importance of consent and individual preferences in using data for AI, and the potential for innovative economic models and sharing systems built around AI-generated art. The podcast highlights the distinction between research and product, addressing the legal and ethical complexities that arise when data is used for both purposes. Creative Commons is seen as a well-intentioned but insufficient solution to the new intellectual property challenges posed by AI. Instead, the hosts emphasize the need for a more adaptable and individualized approach to consent and data use, introducing the term "spawning" as a new vernacular for creating media from a training corpus of data. The discussion touches on concerns about AI and control in the culture sector, such as the need for control over AI-generated profiles, legal implications of AI-generated voices and digital twins, and the possibility of a digital human bill of rights. The podcast also explores the concept of centaur AI, where AI works in concert with the human mind, and the continued importance of human touch and cultural context in creating art that resonates. The role of the human body and presence in art as a proof of context and existence is emphasized, even as some individuals lean towards more online lives. The conversation concludes with the notion that AI tools may shift the baseline for media production, but human factors like relatability, aspirations, and cultural context cannot be automated. There is an opportunity to develop new language and conceptual consistency around AI-generated art, as it represents a significant departure from traditional art forms and aesthetics.

Canton Becker


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