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Using a model in which agents compete to develop a potentially dangerous new technology (AI), we study how changes in the pricing of factors of production (computational resources) affect agents' strategies, particularly their spending on safety meant to reduce the danger from the new technology.
Endogenous Technological Change
Paul M. Romer · 1990
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R & D-Based Models of Economic Growth
Charles I. Jones · 1995
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The Computational Limits of Deep Learning
Neil C. Thompson, Kristjan Greenewald, Keeheon Lee, and Gabriel F. Manso · 2007
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Intelligence Explosion Microeconomics
Eliezer Yudkowsky · 2013
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Racing to the precipice: a model of artificial intelligence development
Stuart Armstrong, Nick Bostrom, and Carl Shulman · 2016
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Deep learning scaling is predictable, empirically
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory Diamos, Heewoo Jun, Hassan Kianinejad, Md Patwary, Mostofa Ali, Yang Yang, and Yanqi Zhou · 2017
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Paul Christiano: Current Work in AI Alignment | Effective Altruism, 2019
Paul Christiano · 2019
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Scaling laws for autoregressive generative modeling
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B Brown, Prafulla Dhariwal, Scott Gray, et al · 2020
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Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, and Zhifeng Chen · 2020
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A General Language Assistant as a Laboratory for Alignment, December 2021
Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Ben Mann, Nova DasSarma, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, and Jared Kaplan · 2021
Cited alongside, same era.
Strategic Implications of AI Safety Research, February 2021
Robert Trager, Eoghan Stafford, Allan Dafoe, and Nicholas Emery-Xu · 2021
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Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, Jackson Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Shauna Kravec, Liane Lovitt, Neel Nanda, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, Ben Mann, and Jared Kaplan · 2022
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Economic impacts of AI-augmented R&D
Tamay Besiroglu, Nicholas Emery-Xu, and Neil Thompson · 2022
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Uncertainty, information, and risk in international technology races
Nicholas Emery-Xu, Andrew Park, and Robert Trager · 2022
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The Anh Han, LuÃs Moniz Pereira, Tom Lenaerts, and Francisco C. Santos · 2021
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Andy L Jones · 2021
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International Strategic Dynamics of Technology Races With Safety-Performance Tradeoffs
Eoghan Stafford, Robert Trager, and Allan Dafoe · 2021
Cited alongside, same era.
Saif M. Khan
Cited in the paper.
Max Langenkamp and Melissa Flagg
Cited in the paper.
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, and Laurent Sifre · 2022
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Estimating training compute of Deep Learning models
Jaime Sevilla, Lennart Heim, Marius Hobbhahn, Tamay Besiroglu, Anson Ho, and Pablo Villalobos · 2022
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The iaea solution for risky technology races: Knowledge sharing to reduce competition and proliferation
Eoghan Stafford and Robert Trager · 2022
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