After Ethos

For most of the twentieth century, anthropologists understood themselves as ethnographers. The art of anthropology was the fieldwork-based description of faraway others—of how social structures secretly organized the living-together of a given society, of how a people had endowed the world surrounding them with cultural meaning. While the poetics and politics of anthropology have changed dramatically over the course of a century, the basic equation of anthropology with ethnography—as well as the definition of the human as a social and cultural being—has remained so evident that the possibility of questioning it occurred to hardly anyone.

In After Ethnos, Rees endeavors to decouple anthropology from ethnography—and the human from society and culture—and explores the manifold possibilities of practicing a question-based rather than an answer-based anthropology that emanates from this decoupling. What emerges from Rees’s provocations is a new understanding of anthropology as a philosophically and poetically inclined, fieldwork-based investigation of what it could mean to be human when the established concepts of the human on which anthropology has been built increasingly fail us.


Author: Tobias Rees
Published Date: 2018
Publisher: Duke University Press


composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.


RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE