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...Read More

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)Read More

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 SchrepelRead More

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......Read More

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 SchrepelRead More

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...Read More

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 SchrepelRead More

Here are the Network Law Review’s monthly reading suggestions on competition between ai foundation models, dynamic competition, computational antitrust, how AI will save the world, DAOs, the AI Act, unfair machine learning, MiCA, longevity, vetocracy, and more... brought to you by Thibault SchrepelRead More

Here are the Network Law Review’s monthly reading suggestions on automated antitrust, great power competition, killer acquisitions big hype, generative AI, crypto exchanges, pro-innovation policies, complexity, and more... brought to you by Thibault SchrepelRead More

Great Power Competition refers to the rivalry and strategic competition among the world’s most powerful nations (“great powers”) for global influence, resources, and dominance. These powers typically include the United States, Russia, China, and the European Union. In practice, Great Power Competition consists of the use of economic, military, technological, and diplomatic means to gain...Read More