AI models collapse when trained on recursively generated data.

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Bibliographic Details
Title: AI models collapse when trained on recursively generated data.
Authors: Shumailov I; OATML, Department of Computer Science, University of Oxford, Oxford, UK. ilia.shumailov@chch.ox.ac.uk., Shumaylov Z; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK. zs334@cam.ac.uk., Zhao Y; Department of Electrical and Electronic Engineering, Imperial College London, London, UK., Papernot N; University of Toronto, Toronto, Ontario, Canada.; Vector Institute, Toronto, Ontario, Canada., Anderson R; Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.; School of Informatics, University of Edinburgh, Edinburgh, UK., Gal Y; OATML, Department of Computer Science, University of Oxford, Oxford, UK. yarin@cs.ox.ac.uk.
Source: Nature [Nature] 2024 Jul; Vol. 631 (8022), pp. 755-759. Date of Electronic Publication: 2024 Jul 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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