People

Mustafa Suleyman

Mustafa Suleyman

Head of Applied AI at Google DeepMind

Biography

Mustafa was co-founder & Chief Product Officer of DeepMind Technologies, a leading AI company backed by Founders Fund, Li Ka-Shing, Elon Musk, and David Bonderman amongst others, which was bought by Google for $650m in 2014 in their largest European acquisition to date. He is now Head of Applied AI at Google DeepMind, responsible for integrating the company’s technology across a wide range of Google products. At 19 he dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK. He then worked as a policy officer for the Mayor of London Ken Livingstone. Mustafa went on to help start Reos Partners, a boutique consultancy with eight offices across four continents specializing in designing and facilitating large scale multi-stakeholder ‘Change-Labs’ aimed at navigating complex problems. As a skilled negotiator and facilitator Mustafa has worked all over the world for a wide range of clients such as The UN, The Dutch Government and WWF.

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