From Seed AI to Technological Singularity via Recursively Self-Improving Software
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Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: arXiv
A 2015 theoretical paper by Yampolskiy offering one of the more structured academic treatments of recursive self-improvement; useful as a reference for RSI concepts, though its empirical predictions remain speculative and should be read alongside more recent capabilities literature.
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Abstract
Software capable of improving itself has been a dream of computer scientists since the inception of the field. In this work we provide definitions for Recursively Self-Improving software, survey different types of self-improving software, review the relevant literature, analyze limits on computation restricting recursive self-improvement and introduce RSI Convergence Theory which aims to predict general behavior of RSI systems. Finally, we address security implications from self-improving intelligent software.
Summary
Yampolskiy provides a systematic survey and theoretical framework for Recursively Self-Improving (RSI) software, classifying existing self-improvement mechanisms and introducing RSI Convergence Theory to predict behavioral trajectories. The paper analyzes security risks and computational constraints limiting recursive self-improvement, situating these dynamics within broader discussions of intelligence explosion and technological singularity.
Key Points
- •Defines and taxonomizes RSI systems, surveying existing types of self-improving software from metaheuristics to autonomous code-rewriting agents.
- •Introduces RSI Convergence Theory, which attempts to predict the general long-run behavioral patterns of recursively self-improving systems.
- •Analyzes fundamental computational and physical limits (e.g., Gödelian constraints, hardware bounds) that constrain how far recursive self-improvement can proceed.
- •Examines security implications of RSI systems, including containment challenges and risks of uncontrolled capability gain.
- •Connects RSI dynamics to seed AI hypotheses and technological singularity scenarios, providing a structured conceptual bridge between current software and hypothetical superintelligence.
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Early Warnings Era | Historical | 31.0 |
| Superintelligence | Concept | 92.0 |
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[1502.06512] From Seed AI to Technological Singularity via Recursively Self-Improving Software
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Computer Science > Artificial Intelligence
arXiv:1502.06512 (cs)
[Submitted on 23 Feb 2015]
Title: From Seed AI to Technological Singularity via Recursively Self-Improving Software
Authors: Roman V. Yampolskiy View a PDF of the paper titled From Seed AI to Technological Singularity via Recursively Self-Improving Software, by Roman V. Yampolskiy
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Abstract: Software capable of improving itself has been a dream of computer scientists since the inception of the field. In this work we provide definitions for Recursively Self-Improving software, survey different types of self-improving software, review the relevant literature, analyze limits on computation restricting recursive self-improvement and introduce RSI Convergence Theory which aims to predict general behavior of RSI systems. Finally, we address security implications from self-improving intelligent software.
Subjects:
Artificial Intelligence (cs.AI)
Cite as:
arXiv:1502.06512 [cs.AI]
(or
arXiv:1502.06512v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.1502.06512
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arXiv-issued DOI via DataCite
Submission history
From: Roman Yampolskiy [ view email ]
[v1]
Mon, 23 Feb 2015 17:08:30 UTC (314 KB)
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