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UID:pretalx-38c3-Z7TFKB@cfp.cccv.de
DTSTART;TZID=CET:20241228T171500
DTEND;TZID=CET:20241228T181500
DESCRIPTION:The global chip shortage during the COVID-19 pandemic brought s
 emiconductor production into focus\, sparking accelerated efforts to meet 
 the surging demand for digital infrastructure. This phenomenon not only ex
 panded AI capabilities but also introduced unexpected computational artifa
 cts. \nOne such artifact is the word “arafed”\, a term absent from any
  dictionary yet mysteriously appears across contexts from image prompts to
  Amazon product descriptions. Such unintended linguistic artifacts\, born 
 from transformer-based AI models\, exemplify how digital artifacts emerge 
 into realities with which we cohabitate.\nThe talk investigates how supply
 -chains break and AI-words spread from an artistic research perspective. M
 apping both the abstract landscapes of embedding spaces\, that are filled 
 with emergent words and images\, and the tangible\, geopolitical realities
  of global semiconductor supply chains.
DTSTAMP:20241227T122252Z
LOCATION:Saal ZIGZAG
SUMMARY:arafed futures - An Artist Dialogue on Chip Storage and AI Accelera
 tionism - Ting-Chun Liu\, Leon-Etienne Kühr
URL:https://fahrplan.events.ccc.de/congress/2024/fahrplan/talk/Z7TFKB/
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