Iterated learning theory predicts and LLM experiments confirm non-monotonic compositionality during self-training, reframing model collapse as cultural transmission with matching human regularization patterns.
Iterated learning and the evolution of language , volume =
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Large-scale analysis of Artbreeder remix parties finds images simplify and converge on thematic attractors, with trade-offs between novelty, complexity, and party size in human-AI creative lineages.
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Model Collapse as Cultural Evolution
Iterated learning theory predicts and LLM experiments confirm non-monotonic compositionality during self-training, reframing model collapse as cultural transmission with matching human regularization patterns.
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Dynamics of collective creativity in AI art competitions
Large-scale analysis of Artbreeder remix parties finds images simplify and converge on thematic attractors, with trade-offs between novelty, complexity, and party size in human-AI creative lineages.