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Too Much Music

Too Much Music

Date de sortie : 2025-07-20
© 2025 Too Much Music
Too Much Music - QR Code
15 épisodes
Audio
Écouter sur Apple Podcasts
15 épisodes
Audio
Écouter sur Apple Podcasts
Date de sortie : 2025-07-20
© 2025 Too Much Music
L’épisode le plus récent
The Attention Heist: How Big Tech Hijacked Our Brains (Part 1)

The Attention Heist: How Big Tech Hijacked Our Brains (Part 1)

Greg and Alison dive headfirst into the toxic grip of big tech on creativity and mental autonomy. Sharing raw personal journeys from Alison’s early Facebook rebellion to Greg’s radical "de-Googling" in the mountains of New Hampshire, they dissect ho
Durée : 38:39
Greg and Alison dive headfirst into the toxic grip of big tech on creativity and mental autonomy. Sharing raw personal journeys from Alison’s early Facebook rebellion to Greg’s radical "de-Googling" in the mountains of New Hampshire, they dissect how algorithms poison focus, erode privacy, and stifle artistic expression. 
Your fearless hosts then expose the hidden cost of "engagement": stolen attention spans, fractured communities, and a world where making art feels impossible. With fiery anecdotes about startup culture, zombie-like scrolling, and Trent Reznor’s DX7-smashing rage, this candid conversation asks: Can we reclaim our minds from the feed?
Doctor Body is Alison & Greg's experimental electronic duo.
PatternSonix is Alison & Greg's niche consulting firm focusing on the intersection between sound and AI.
Subscribe on your favorite podcast platform or check us out at toomuchmusicpodcast.com
Music, blogging, & more from your hosts: Dr. Greg Wilder | Alison Wilder
Id. d’épisode : 1000718170754
GUID : Buzzsprout-17533406
Date de publication : 20/7/2025 à 19:00:00

Description

Two music know-it-alls talk about making music in a world that already has too much music in it. This ex-husband-and-wife pair spout knowledge on all things music, including computational creativity, music production, human creativity, composition, songwriting, music business, music education, music-making culture, and machine learning/AI topics.

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