On the Impossibility of Supersized Machines
Ben Garfinkel, Miles Brundage, Daniel Filan, Carrick Flynn, Jelena, Luketina, Michael Page, Anders Sandberg, Andrew Snyder-Beattie, and Max, Tegmark

TL;DR
This paper argues that it is fundamentally impossible for machines to surpass human size, countering claims and theories suggesting the potential for supersized machines in the future.
Contribution
The paper presents seven distinct arguments demonstrating the impossibility of machines exceeding human size, challenging optimistic views on machine growth.
Findings
Seven arguments establish the impossibility of supersized machines.
It is shown that machine size cannot surpass human size due to fundamental constraints.
The paper refutes claims from various disciplines supporting the idea of supersized machines.
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. However, there are at least seven distinct arguments that preclude this outcome. We show that it is not only implausible that machines will ever exceed human size, but in fact impossible.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms
