Nao Tokui: "Surfing" Musical Creativity with AI

Nao Tokui: "Surfing" Musical Creativity with AI

Author: Daniel Bashir October 19, 2023 Duration: 1:02:19

In episode 95 of The Gradient Podcast, Daniel Bashir speaks to Nao Tokui.

Nao Tokui is an artist/DJ and researcher based in Tokyo. While pursuing his Ph.D. at The University of Tokyo, he produced his first music album and singles using AI, including a 12-inch record with Nujabes, a legendary Japanese hip-hop producer. After completing his Ph.D. research, he founded Qosmo, AI Creativity and Music Lab, in 2009. Since then, he has been actively working at the intersection of AI technology and art. Nao and his team's works have been exhibited at renowned venues such as the New York MoMA and the Barbican Centre in London. Their performances have also been showcased at various music festivals, including MUTEK and Sonar. Additionally, he is leading the development of AI-based music instruments at his newly founded company, Neutone. In 2021, Nao received the Okawa Publishing Award for his Japanese book on art, creativity, and AI. The book is scheduled to be released in English as "Surfing human creativity with AI — A user's guide" in November 2023.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (02:15) Nao’s background and how he got into AI and music

* (05:10) Nao’s experiences as a DJ, collaboration with Nujabes

* (07:10) HCI and music

* (10:35) Leveraging the difference between AI systems and humans

* (12:40) Total control vs total chaos

* (13:45) Qosmo and the Neutone Project, misusable AI tools

* (17:25) On music and “creating something new”

* (21:00) Declarative and top-down vs. bottom-up creation, individual taste

* (23:50) How generative AI enables humans

* (26:25) On misusing technology and art

* (32:00) Dawn Patrol EP

* (36:00) A two-discriminator GAN for creating music in new genres

* (37:45) The AI DJ Project

* (38:20) The interactive vision of the project

* (42:10) How AI chooses music, breaking from constraints

* (43:15) Interpretability and how an AI system DJs differently

* (45:15) How the project altered Nao’s perspective on DJing, the role of humans

* (51:40) Nao’s book Creating with AI

* (55:15) Human-AI interaction as joint improvisation

* (58:10) Nao’s advice and takeaways for thinking about AI creatively

* (1:01:32) Outro

Links:

* Nao’s homepage and Twitter

* Other links:

* Neutone, AI audio plugin

* Real-time AI-generative DJ performance

* Qosmo

* Dawn Patrol EP

* Nao’s book: Surfing human creativity with AI — A user's guide

* Paper on Creative-GAN for deviating from existing music genres



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
Judy Fan: Reverse Engineering the Human Cognitive Toolkit [not-audio_url] [/not-audio_url]

Duration: 1:32:39
Episode 136I spoke with Judy Fan about:* Our use of physical artifacts for sensemaking* Why cognitive tools can be a double-edged sword* Her approach to scientific inquiry and how that approach has developedEnjoy—and let…
L.M. Sacasas: The Questions Concerning Technology [not-audio_url] [/not-audio_url]

Duration: 1:47:20
Episode 135I spoke with L. M. Sacasas about:* His writing and intellectual influences* The value of asking hard questions about technology and our relationship to it* What happens when we decide to outsource skills and c…
Pete Wolfendale: The Revenge of Reason [not-audio_url] [/not-audio_url]

Duration: 2:52:57
Episode 134I spoke with Pete Wolfendale about:* The flaws in longtermist thinking* Selections from his new book, The Revenge of Reason* Metaphysics* What philosophy has to say about reason and AIEnjoy—and let me know wha…
Peter Lee: Computing Theory and Practice, and GPT-4's Impact [not-audio_url] [/not-audio_url]

Duration: 1:01:48
Episode 133I spoke with Peter Lee about:* His early work on compiler generation, metacircularity, and type theory* Paradoxical problems* GPT-4s impact, Microsoft’s “Sparks of AGI” paper, and responses and criticismEnjoy—…
Manuel & Lenore Blum: The Conscious Turing Machine [not-audio_url] [/not-audio_url]

Duration: 2:23:04
Episode 132I spoke with Manuel and Lenore Blum about:* Their early influences and mentors* The Conscious Turing Machine and what theoretical computer science can tell us about consciousnessEnjoy—and let me know what you…
Kevin Dorst: Against Irrationalist Narratives [not-audio_url] [/not-audio_url]

Duration: 2:15:21
Episode 131I spoke with Professor Kevin Dorst about:* Subjective Bayesianism and epistemology foundations* What happens when you’re uncertain about your evidence* Why it’s rational for people to polarize on political mat…
David Pfau: Manifold Factorization and AI for Science [not-audio_url] [/not-audio_url]

Duration: 2:00:52
Episode 130I spoke with David Pfau about:* Spectral learning and ML* Learning to disentangle manifolds and (projective) representation theory* Deep learning for computational quantum mechanics* Picking and pursuing resea…
Sergiy Nesterenko: Automating Circuit Board Design [not-audio_url] [/not-audio_url]

Duration: 1:03:35
Episode 128I spoke with Sergiy Nesterenko about:* Developing an automated system for designing PCBs* Difficulties in human and automated PCB design* Building a startup at the intersection of different areas of expertiseB…