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The Impossibility of Supersized Machines (2017)

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#computer science#artificial intelligence#theoretical physics#machine size#academic research#Ben Garfinkel#Miles Brundage#Daniel Filan#Carrick Flynn#Jelena Luketina#Michael Page#Anders Sandberg#Andrew Snyder-Beattie
The Impossibility of Supersized Machines (2017)
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The paper 'On the Impossibility of Supersized Machines' argues that machines cannot exceed human size, despite speculation by some experts in computer science, philosophy, and physics. The authors present seven distinct arguments to demonstrate that such growth is not merely unlikely but fundamentally impossible. The work was published as a nine-page academic paper with two figures in the arXiv repository in March 2017.

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arXiv.org
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Computer Science > Computers and Society arXiv:1703.10987 (cs) [Submitted on 31 Mar 2017] Title:On the Impossibility of Supersized Machines Authors:Ben Garfinkel, Miles Brundage, Daniel Filan, Carrick Flynn, Jelena Luketina, Michael Page, Anders Sandberg, Andrew Snyder-Beattie, Max Tegmark View a PDF of the paper titled On the Impossibility of Supersized Machines, by Ben Garfinkel and 8 other authors View PDF Abstract:In recent years, a number of prominent computer scientists, along with academics in fields such as philosophy and physics, have lent credence to the notion that machines may one day become as large as humans. Many have further argued that machines could even come to exceed human size by a significant margin.

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