








Art of Noise
A multi-sensory exploration of how design has changed the way we’ve experienced music over the past 100 years.

Digital feeds, malnourished students — Phantom Power
Today we’re doing one of our occasional episodes where host Mack Hagood talks about a new essay he’s written for our newsletter “Feed Logic and the Failure to Thrive” Mack writes that students and professors are struggling, both academically and spiritually. He tries to diagnose the issue he felt in his classrooms this year and the role technology may play in it. For new listeners, Mack is a writer and researcher who studies sound, technology, and culture. He is the author of Hush: Media and Sonic Self-Control, a book on noise-canceling headphones, white noise, tinnitus, and the ways people use sound to manage modern life. He is currently writing a new book for Penguin Press, and he also hosts this podcast Phantom Power, where he interviews artists, scholars, musicians, and sound designers about the invisible power of sound in everyday life. Besides all that, Mack is a university professor and that’s what his most recent essay is about. Click here to read the newsletter for free. Cited Media: Film:Mary…
The Sounds Resource
Archiving and preserving video game media since 2003!
Yeah - Pretentious Mix

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NYC experimental live music calendar • noise, improv, jazz, new music, avant-electronics, weirdos • performance against corporate interests!

Sinker sound
Fish in the strange domain of the mermaid, and find many strange fish with their own unique original music! You must REEL to the beat of the song! This is a fishing game with a musical rhythm gimmick!

Sound Is Vibration

Dr. Dre and Jimmy Iovine Think A.I. Is Good for Music

The grueling fight over who profits from AI music

How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures

South Korea’s KOMCA ends ban on AI-assisted songs – false filings now risk royalty holds and contract termination - Music Business Worldwide
From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music

The Algorithmic Flattening of Sound: Computational Evidence and Justice Implications of AI Music Homogenization