The Singularity May Never Be Near
Open accessAbstract
The technological singularity, often simply called the singularity, is the hypothesis that at some point in the future we will invent machines that can recursively self improve, and that this will be a tipping point resulting in runaway technological growth. I examine half a dozen arguments against this idea.
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Cites
Computing Machinery and Intelligence (1950)
Turing, A. M. (2004) · doi:10.1093/oso/9780198250791.003.0017 · Cited by 6,120 · see citing works
The Singularity Is near: When Humans Transcend Biology
Mead, W. R., & Kurzweil, R. (2006) · Foreign Affairs · doi:10.2307/20031996 · Cited by 3,448 · see citing works
Superintelligence: paths, dangers, strategies
(2015) · Choice Reviews Online · doi:10.5860/choice.187536 · Cited by 1,977 · see citing works
The Singularity: A Philosophical Analysis
Chalmers, D. J. (2016) · Science Fiction and Philosophy · doi:10.1002/9781118922590.ch16 · Cited by 246 · cited 3× · see citing works
“…produce an AI by machine learning, it is likely that soon after we will be able to improve the learning algorithm and extend the learning process, leading to AI+” (Chalmers 2010) Here, AI is a system with human level intelligence and AI+ is a system more intelligent than the most intelligent human.”
BackgroundBostrom, N. (2003) · Futures · doi:10.1016/s0016-3287(03)00026-0 · Cited by 45 · see citing works
Growing pains for deep learning
Edwards, C. (2015) · Communications of the ACM · doi:10.1145/2771283 · Cited by 45 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- [1]1. Allen, P., and Greaves, M. 2011. The Singularity Isn't Near. MIT Technology Review (March/April), 7-65.
- [7]7. Amster- dam, The Netherlands: Elsevier. doi.org/10.1016/S0065- 2458(08)60418-0 · DOI
- [9]9. Pinker, S. 2008. Tech Luminaries Address Singularity. IEEE Spectrum. Special Report: The Singularity, June 1.
- [11]11. Ulam, S. 1958. Tribute to John von Neumann. Bulletin of the American Mathematical Society 64(3).
- [12]12. Vinge, V. 1993. The Coming Technological Singularity: How to Survive in the Post-Human Era. In Whole Earth Review, ed.
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Sorted by citations
Artificial Intelligence and Management: The Automation–Augmentation Paradox
Raisch, S., & Krakowski, S. (2021) · Academy of Management Review · doi:10.5465/amr.2018.0072 · Cited by 2,755 · see citing works
- Authors
- Walsh, T.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Walsh, Toby
- ORCID
- Walsh, Toby
- Venue
- AI Magazine
- Publisher
- Wiley
- Published
- 2017-09
- Volume
- 38
- Issue
- 3
- Pages
- 58-62
- ISSN
- 0738-4602 (ISSN-L)
- 2371-9621
- OpenAlex
- W2276601588
- Cited by
- 45
- References
- 6
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 9 · 2023: 7 · 2022: 5 · 2021: 7 · 2020: 5 · 2019: 3 · 2018: 2 · 2017: 1 · 2016: 1
- FWCI
- 6.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- AI Magazine (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Asian Office of Aerospace Research and Development
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Keywords
- technological singularity, artificial intelligence, machine intelligence
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