This publication contains my latest reading suggestions, i.e., academic papers and articles I enjoyed reading in May 2024. You can follow me on X (@ProfSchrepel) or LinkedIn (here) to be notified of similar articles on a more regular basis. The Network Law Review is also available on X (@NetworkLawRev) and LinkedIn (here).
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Antitrust:
- Measuring the Openness of AI Foundation Models: Competition & Policy Implications (Schrepel & Potts)
- Developing New Measures of Market and Tech Dynamism (Erik Brynjolfsson – Stanford) 🎥
- Using Natural Language Processing to Delineate Digital Markets (Gugler, Szücs Wohak – Stanford)
- Neither Populist nor Neoclassical: The Classical Roots of (…) Antitrust Law (Niccola Giocoli – HPE)
- The 2023 Merger Guidelines: Lessons in the Importance of Incipiency, Modern Economics, and Monopsony (Susan Athey & David Lawrence – SSRN)
- Economic Analysis in Antitrust Litigation: Empirical Evidence from the Courts (Ciliberto, Elzinga, Sokol)
- A Closer Look at the Rationale and Goals of Digital Competition Regulations (Radic, Manne, Auer – ICLE)
- Memes and Myths of Antitrust (Richard N. Langlois – Mercatus)
Artificial Inteligence:
- AI Dynamics and Regulation + here & here (Yann LeCun & Thibault Schrepel – Scaling Theory) 🎥
- The AI Act Explorer (Future of Life Institute)
- GPT-4o launches, Glue demo, Ohalo breakthrough, Druck’s Argentina bet, did Google kill Perplexity?
(Chamath, Jason, Sacks & Friedberg – All-In) 🎧 - The EU AI Act: Open-Source Exceptions and Considerations for Your AI Strategy (Julia Apostle – Orrick)
Digital:
- A New Measure For GenAI Competition (Thibault Schrepel – NLR)
- The Great Flattening (Ben Thompson – Stratechery)
- The Sea Change on Crypto-Regulation (Alex Tabarrok – MR)
Econ:
- Why Read Adam Smith Today? (Peter J. Boettke – SSRN)
- Good Law & Economics, Bad Law & Political Economy (Boettke & Candela – SSRN)
- How should we measure competition? (Brian Albrecht – Economic Forces)
Other:
- Fermat’s Last Theorem (BBC) 🎥
- Student Evaluation of Teaching Ratings and Student Learning Are Not Related (Uttl et al. – SEE)
Thibault Schrepel
@ProfSchrepel