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 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 SchrepelRead 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
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...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 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 SchrepelRead 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
This post features several rankings of “law & technology” journals and reviews, none of which were produced by the Network Law Review. Most of these rankings are US-centric. ** Google Scholar Metrics: Technology Law (2023) 1. Computer Law & Security Review 2. Berkeley Technology Law Journal 3. International Data Privacy Law 4. World Patent Information...Read 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
Here are the Network Law Review’s monthly reading suggestions on antimonopolism, innovation in antitrust law, the DMA, killer acquisitions and populism, AI doomers, generative AI, the end of big business, and more... brought to you by Thibault SchrepelRead More