Summary On the Impossibility of Supersized Machines arxiv.org
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One Line
The article argues that machines cannot exceed human size due to limitations with "big data" and "mass".
Slides
Slide Presentation (11 slides)
Key Points
- Machines becoming as large as humans or larger is implausible and impossible.
- There are seven arguments against the possibility of supersized machines.
- The irreducible complexity of the human body and the lack of understanding of its developmental processes make it unlikely that machines will surpass human size.
- The concept of "human-level largeness" is vague and undefined, making predictions of supersized machines meaningless.
- Humans already possess the ability to augment their bodies and become indefinitely large, making the idea of machines surpassing human size unnecessary.
- Evolutionary psychology suggests that fears of supersized machines are irrational and rooted in ancestral fears of larger beings.
- Machines can never be larger than the combination of the machine and a human together.
- The concept of largeness extends beyond physical size and includes non-physical properties that machines cannot possess.
- Quantum mechanics and Gödel's first incompleteness theorem present further challenges to the possibility of supersized machines.
Summaries
24 word summary
The article "On the Impossibility of Supersized Machines" presents seven arguments against machines surpassing human size due to limitations with "big data" and "mass".
39 word summary
The article "On the Impossibility of Supersized Machines" challenges the idea of machines becoming larger than humans. The authors argue that there are seven distinct arguments against this possibility. They point out that terms like "big data" and "mass
204 word summary
The document "On the Impossibility of Supersized Machines" discusses the notion that machines could one day become as large as humans or even exceed human size. However, the authors argue that there are at least seven distinct arguments that make this outcome
The article discusses the impossibility of creating machines that surpass the largeness of humans. It highlights the misuse of terms like "big data" and "massive neural networks" in computer science articles, emphasizing that their use of size language is metaphorical
Humans have been known to join their bodies together to reach heights of up to 12 meters, and there is no physical law that limits the size of humans. Therefore, it is impossible for machines to be larger than humans. The fear of supersized
The concept of "largeness" in machines is a non-physical property that is separate from the physical property of size. To build a large machine, we would need to solve the problem of determining what this non-physical property is and how it
The impossibility of creating supersized machines is explored in this document. The author discusses the formalization of this deduction within non-well-founded set theory and the introduction of self-referential objects, such as Quine atoms. The technical details are