Thibault SchrepelPublished 30 January 2026
Reading suggestions, January 2026
Academic papers and articles Thibault Schrepel enjoyed reading in January 2026.
AntitrustAIDigitalEcon
Antitrust
AI
- On the Slow Death of ScalingSara Hooker, SSRN
- AI Models Are Starting to Learn by Asking Themselves QuestionsWill Knight, Wired
Digital
- Scientific production in the era of large language modelsKusumegi et al., Science
- An Empirical Critique of the DSA Transparency DatabaseEline Leijten, SSRN
Econ
- A.I. and Our Economic FutureCharles I. Jones
- Markups and Business Dynamism across IndustriesAlbrecht & Decker, IJIO
- The software complexity of nationsSándor Juhász et al., Research Policy
- Cass Sunstein on Scaling LiberalismScaling Theory
- A New Year’s letter to a young personLuis Garicano, Substack
- Balance of powerVitalik Buterin
- Kílian Jornet on What We Can Learn From Pushing Our Bodies to ExtremesGarcia-Navarro, NYT
Earlier months
All months- December 2025Antitrust, Digital, Econ
- November 2025Antitrust, Artificial Intelligence, Econ
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