The Mutualist Economy: A New Deal for Ownership

Nils Gilman, Yakov Feygin

This essay proposes a new model of personal and public wealth-building that can address the current crisis of inequality in the United States. We place contemporary American wealth inequality into its historical context by tracing how federal government policies have worked to support personal and public wealth building across three periods: the First Industrial Revolution of the mid-19th century, the Second Industrial Revolution of the early 20th century, and the Information and Communication Technology revolution of the late-20th century. We then suggest a series of potential governmental policies that can help to ensure a more equitable wealth distribution in the future. Our proposed “mutualist” model of political economy would allow for the large-scale diffusion of productivity gains that may follow the installation of deployment of the next wave of general-purpose technologies. This new social contract will move beyond the welfare state’s focus on insurance toward a more radical notion of shared ownership of returns on capital via universal individual capital endowments and new public investment channels that control shares in firms and intellectual property.

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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