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From Seed AI to Technological Singularity via Recursively Self-Improving Software

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arxiv 1502.06512 v1 pith:P2SP6W5B submitted 2015-02-23 cs.AI

classification cs.AI
keywords softwareself-improvingrecursivelyaddressaimsanalyzebeenbehavior
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. Generating on Generated: An Approach Towards Self-Evolving Diffusion Models

    cs.CV 2025-02 conditional novelty 5.0 of 10

    A recursive self-training loop that filters prompts, selects preferred images, and reweights out-of-distribution samples improves Stable Diffusion models over multiple rounds.

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