By

Thibault Schrepel

The Apple Music Streaming Case: The Good, The Bad, and The Ugly

On March 4, 2024, the European Commission fined Apple €1.84 billion “over abusive App store rules for music streaming providers”. In particular, the Commission was concerned about the anti-steering provisions that Apple imposed on these providers. Although the full decision has not yet been published (I am told it could be a matter of months),...
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Privacy or Antitrust First? Answering with Agent-Based Modeling

Legal scholars have long been interested in predicting the effects of new rules and standards. They have focused very little on the timing of regulation. In a recent working paper co-authored with John Schuler, we explore how agent-based modeling can help. Agent-based modeling (“ABM”), as we explain, is a computer simulation with unique agents that...
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Thibault Schrepel: “Toward A Working Theory of Ecosystems in Antitrust Law: The Role of Complexity Science”

The Network Law Review is pleased to present a symposium entitled “Dynamics of Generative AI,” where lawyers, economists, computer scientists, and social scientists gather their knowledge around a central question: what will define the future of AI ecosystems? To bring all this expertise together, a conference co-hosted by the Weizenbaum Institute and the Amsterdam Law...
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Reading suggestions – February 2024

Here are the Network Law Review’s monthly reading suggestions on the dynamics of generative AI, big tech’s R&D expenditure, a pro-innovation approach to AI regulation, the unreasonable effectiveness of algorithms, synthetic data, Gemini and Google’s culture, increasing returns, and more... brought to you by Thibault Schrepel
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Reading suggestions – January 2024

Here are the Network Law Review’s monthly reading suggestions on how to design better antitrust agencies, computational antitrust, generative AI, the fight for open source, computable law, Chinese AI regulations, crypto islands, combining crypto and AI, e/acc, new measure of digital gains, and more... brought to you by Thibault Schrepel
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A Database of Antitrust Initiatives Targeting Generative AI

Antitrust agencies are increasingly interested in generative AI. This can be good news. As Sandy Pentland and I wrote last year (here), the competitive dynamics in this space can be supported by a careful antitrust agenda. While the AI Act should be improved if the EU wants innovation to flourish (see this article), enforcement actions...
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The Fight for Open Source in Generative AI

This contribution tackles the technology (what open source is), the market (how open source creates competitive pressure in generative AI), and the law (what should - and shouldn’t - be done about it)
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Reading suggestions – December 2023

Here are the Network Law Review’s monthly reading suggestions on the concept of future markets, superhuman science, trustworthy AI, the AI Act and its impact on innovation, the resurgence of crypto, cypherpunks, the post-open source movement, evolutionary economic theory and more... brought to you by Thibault Schrepel
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Reading suggestions – November 2023

Here are the Network Law Review’s monthly reading suggestions on FTC rulemaking on noncompetes, neo-Brandeisianism’s democracy paradox, natural selection of artificial intelligence, blockchain antitrust, nano contracts, the impact of regulation on innovation, the Santa Fe Institute and more... brought to you by Thibault Schrepel
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Reading suggestions – October 2023

Here are the Network Law Review’s monthly reading suggestions on how the AI Act impacts competition (law), how the Brown Shoe case glorifies waste, the DSA’s appeal for authoritarian regimes, Binance’s antitrust issues, the law and economics of privacy, a new kind of metaverse interview, the greatest economist of all time, assembly theory, and more......
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What competition experts should know about the AI Act

This short article serves as an introduction to Thibault Schrepel’s latest working paper, “Decoding the AI Act: A Critical Guide for Competition Experts” (open-access) *** Europe is experiencing a legislative frenzy. In recent months, European institutions have adopted or debated the Digital Markets Act (“DMA”), the Digital Services Act (“DSA”), the Data Act, the Data...
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Reading suggestions – September 2023

Here are the Network Law Review’s monthly reading suggestions on generative AI, the new merger guidelines, AI in legal analysis, complexity science, Nvidia, the metaverse, the Trolley Problem, regulatory capture, and more... brought to you by Thibault Schrepel
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Complexity Science for Antitrust Lawyers

This short article serves as an introduction to Thibault Schrepel’s latest working paper, “Being an Arthurian: Complexity Economics, Law, and Science” (open-access) *** Complexity science provides a general framework for approaching all fields of science. Unlike other scientific methods, complexity looks at how multiple interactions between agents (be they humans, insects, animals, companies, etc.) create a...
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Reading suggestions – August 2023

Here are the Network Law Review’s monthly reading suggestions on the new merger guidelines, startup failure, deglobalization, EU protectionism, ChatGPT political bias, lessons from GDPR, complexity economics applied to generative AI, and more... brought to you by Thibault Schrepel
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Reading suggestions – July 2023

Here are the Network Law Review’s monthly reading suggestions on computational antitrust, antitrust by intimidation, a discussion of AI smartness, climate impacts of bitcoin mining, the Worldcoin, innovation and appropriability, Harvard’s newest professor, 18 articles on dynamic competition, and more... brought to you by Thibault Schrepel
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