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Science in the Age of Algorithms

In: The Economics of Transformative AI

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  • Sendhil Mullainathan
  • Ashesh Rambachan

Abstract

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Suggested Citation

  • Sendhil Mullainathan & Ashesh Rambachan, 2025. "Science in the Age of Algorithms," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15321
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    File URL: http://www.nber.org/chapters/c15321.pdf
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    References listed on IDEAS

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    1. Alhussein Fawzi & Matej Balog & Aja Huang & Thomas Hubert & Bernardino Romera-Paredes & Mohammadamin Barekatain & Alexander Novikov & Francisco J. R. Ruiz & Julian Schrittwieser & Grzegorz Swirszcz & , 2022. "Discovering faster matrix multiplication algorithms with reinforcement learning," Nature, Nature, vol. 610(7930), pages 47-53, October.
    2. Trieu H. Trinh & Yuhuai Wu & Quoc V. Le & He He & Thang Luong, 2024. "Author Correction: Solving olympiad geometry without human demonstrations," Nature, Nature, vol. 627(8004), pages 8-8, March.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Alex Davies & Petar Veličković & Lars Buesing & Sam Blackwell & Daniel Zheng & Nenad Tomašev & Richard Tanburn & Peter Battaglia & Charles Blundell & András Juhász & Marc Lackenby & Geordie Williamson, 2021. "Advancing mathematics by guiding human intuition with AI," Nature, Nature, vol. 600(7887), pages 70-74, December.
    5. Trieu H. Trinh & Yuhuai Wu & Quoc V. Le & He He & Thang Luong, 2024. "Solving olympiad geometry without human demonstrations," Nature, Nature, vol. 625(7995), pages 476-482, January.
    6. Devine, Warren D., 1983. "From Shafts to Wires: Historical Perspective on Electrification," The Journal of Economic History, Cambridge University Press, vol. 43(2), pages 347-372, June.
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    Cited by:

    1. Ajay K. Agrawal & John McHale & Alexander Oettl, 2025. "AI in Science," NBER Chapters, in: Economics of Science, National Bureau of Economic Research, Inc.
    2. Ajay Agrawal & John McHale & Alexander Oettl, 2025. "Comment on "Science in the Age of Algorithms"," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.

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