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Open Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open source objectives

Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives

tags
  • lit
link
http://arxiv.org/abs/2311.09227
zotero
zotero://select/library/items/T4UK52AN
itemType
preprint
authors
  • Elizabeth Seger
  • Noemi Dreksler
  • Richard Moulange
  • Emily Dardaman
  • Jonas Schuett
  • K. Wei
  • Christoph Winter
  • Mackenzie Arnold
  • Seán Ó hÉigeartaigh
  • Anton Korinek
  • Markus Anderljung
  • Ben Bucknall
  • Alan Chan
  • Eoghan Stafford
  • Leonie Koessler
  • Aviv Ovadya
  • Ben Garfinkel
  • Emma Bluemke
  • Michael Aird
  • Patrick Levermore
  • Julian Hazell
  • Abhishek Gupta
pubDate
2023-09-29
retDate
2025-10-30
relatedProjects
DIY AI

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