The Meat Question: Animals, Humans, and the Deep History of Food

 

Humans are eating more meat than ever. Despite ubiquitous Sweetgreen franchises and the example set by celebrity vegans, demand for meat is projected to grow at twice the rate of demand for plant-based foods over the next thirty years. Between 1960 and 2010, per capita meat consumption in the developing world more than doubled; in China, meat consumption grew ninefold. It has even been claimed that meat made us human—that our disproportionately large human brains evolved because our early human ancestors ate meat.

Josh Berson argues that not only did meat not make us human, but the contemporary increase in demand for meat is driven as much by economic insecurity as by affluence. Considering the full sweep of meat’s history, Berson concludes provocatively that the future is not necessarily carnivorous. Berson, an anthropologist and historian, argues that we have the relationship between biology and capitalism backward. We may associate meat-eating with wealth, but in fact, meat-eating is a sign of poverty; cheap meat—hunger killing, easy to prepare, eaten on the go—enables a capitalism defined by inequality. To answer the meat question, says Berson, we need to think about meat-eating in a way that goes beyond Paleo diets and PETA protests to address the deeply entwined economic and political lives of humans and animals past, present, and future.

Author: Josh Berson
Published Date: 2019
Publisher: MIT 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