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UID:4ac43e15-ad2c-4697-b3c7-b50b32efebad@findlocal.community
DTSTAMP:20261015T122259Z
DTSTART;TZID=America/Los_Angeles:20261021T090000
DTEND;TZID=America/Los_Angeles:20261021T110000
SUMMARY:Tuning — Live Virtual Session with Iana Chugunova
DESCRIPTION:Sound artist and PhD candidate Iana Chugunova is developing a
  new\, interactive sound installation for the upcoming Modal x Gray Area
  AI Commissions. In order for her agents to learn\, we're seeking audien
 ce participation to help us 'tune' them. In the proposed artwork in deve
 lopment\, nine language models perform Tuning Meditation\, a score writt
 en by Pauline Oliveros in 1971. These bots work twenty-four hours a day\
 , seven days a week\, ahead of the Gray Area exhibition opening October 
 28. Each voice was raised differently — a different corpus\, language\, 
 lineage — and each holds a wallet of real money spent by its real GPU ti
 me. Singing costs\, listening costs\, learning costs\; when a wallet rea
 ches zero\, that voice dies\, permanently. In four weekly Zoom sessions 
 — every Wednesday at 9 AM PT\, October 7 to 28 — we perform the score to
 gether: open the page\, sing one tone on one comfortable breath\, and th
 e choir hears you and tunes toward your voice within seconds. The sessio
 ns are also how the choir learns. When twenty human breaths have entered
  the field\, a school bell rings on the page\, and each voice goes to st
 udy what it heard — returning changed\, one by one\, having paid for the
  lesson from its own wallet. By opening night\, the choir arrives alread
 y shaped by a month of people singing with it from around the world. No 
 recording of any voice is ever made: pitch is measured on your own devic
 e\, and only numbers — a frequency\, a duration\, a contour — enter the 
 field.\n\nTickets: https://tickets.grayarea.org/events/9ed26489-2d48-9b6
 7-a4ed-4f2eb476582b\n\nhttps://findlocal.community/event/4ac43e15-ad2c-4
 697-b3c7-b50b32efebad
LOCATION:Gray Area\, San Francisco\, CA
URL:https://findlocal.community/event/4ac43e15-ad2c-4697-b3c7-b50b32efeba
 d
STATUS:CONFIRMED
SEQUENCE:0
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