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From Seed AI to Technological Singularity via Recursively Self-Improving Software
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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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Generating on Generated: An Approach Towards Self-Evolving Diffusion Models
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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