Competition between AI Foundation Models: Dynamics and Policy Recommendations

MIT Connection Science Working Paper 1-2003

24 Pages Posted: 10 Jul 2023

See all articles by Thibault Schrepel

Thibault Schrepel

Vrije Universiteit Amsterdam; Stanford University's Codex Center; University Paris 1 Panthéon-Sorbonne; Institut d'Etudes Politiques de Paris (Sciences Po)

Alex Pentland

Massachusetts Institute of Technology (MIT)

Date Written: June 28, 2023

Abstract

Generative AI is set to become a critical technology for our modern economies. If we are currently experiencing a strong, dynamic competition between the underlying foundation models, legal institutions have an important role to play in ensuring that the spring of foundation models does not turn into a winter with an ecosystem frozen by a handful of players.

Keywords: Foundation AI, large language models, LLMs, generative AI, competition, antitrust, increasing returns, network effects, intellectual property, public policy, ChatGPT, Google Bard, open source

JEL Classification: K21, K20, 030, 031, 032, 033, 034, 038,

Suggested Citation

Schrepel, Thibault and Pentland, Alex, Competition between AI Foundation Models: Dynamics and Policy Recommendations (June 28, 2023). MIT Connection Science Working Paper 1-2003, Available at SSRN: https://ssrn.com/abstract=4493900

Thibault Schrepel (Contact Author)

Vrije Universiteit Amsterdam ( email )

De Boelelaan 1105
1081 HV Amsterdam
Netherlands

Stanford University's Codex Center ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

University Paris 1 Panthéon-Sorbonne ( email )

France

Institut d'Etudes Politiques de Paris (Sciences Po) ( email )

27 rue Saint-Guillaume
Paris Cedex 07, 75337
France

Alex Pentland

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

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