Here are the Network Law Review’s monthly reading suggestions: topics include innovation competition, how IP stimulates online competition, empirical work on merger control, AI compliance tools, the story of Meta, the new crypto report, the danger of digital sovereignty, Nobel in economics and Hayek among others. Brought to you by Thibault Schrepel.Read More
Here are the Network Law Review’s monthly reading suggestions: topics include digital refusals to deal, antitrust litigation against academic publishers, antitrust policy under the Biden administration, competition among AI foundation models, the political science behind large tech companies, patent hunters, and methods to measure the costs and benefits of regulation, among others. Brought to you...Read More
Here are the Network Law Review’s monthly reading suggestions on the Commission guidelines on exclusionary abuses, the myth of lax merger enforcement, competition in platform ecosystems, the myth AI scaling, fully automated AI research, the universality of technology diffusion, Bitcoin power law, complexity economics, start-up acquisitions, and more... brought to you by Thibault SchrepelRead More
Context: In Aldous Huxley’s Brave New World, the World State is governed by ten men known as World Controllers. They oversee a society where stability, order, and happiness are preserved at the expense of individuality, freedom, and genuine human emotion. The following piece is satirical and should be interpreted accordingly. It has been written in...Read More
Here are the Network Law Review’s monthly reading suggestions on neo-brandeisians, privacy and antitrust, killer acquisitions, the AI Act impact on innovation, openness in AI, the link between AI, capitalism and democracy, software eating the world, industrial policy in semiconductors, Haruki Murakami, running marathons, effective altruism, and more... brought to you by Thibault SchrepelRead More
Here are the Network Law Review’s monthly reading suggestions on neo-brandesians, digital tying, innovation networks, AI’s persuasive power, scaling plurality, VCs and startups, Kenneth Arrow and more... brought to you by Thibault Schrepel.Read More
Here are the Network Law Review’s monthly reading suggestions on the openness of AI models, populism in antitrust, antitrust myths, AI regulation, the AI Act, the great flattening, crypto regulation, Adam Smith, law & political economy, Fermat’s last theorem and more... brought to you by Thibault SchrepelRead More
This short article serves as an introduction to the working paper by Thibault Schrepel and Jason Pott entitled “Measuring the Openness of AI Foundation Models: Competition and Policy Implications” *** Antitrust agencies are showing a strong interest in AI foundation models and Generative AI (“GenAI”) applications. They want to ensure that the AI ecosystem remains...Read More
Here are the Network Law Review’s monthly reading suggestions on computational antitrust, the DMA, Microsoft, open-source AI, the evolution of technologies, dynamic competition, and more... brought to you by Thibault SchrepelRead More
Here are the Network Law Review’s monthly reading suggestions on the dynamics of generative AI, networks-of-networks science, global computational antitrust, the Apple Music streaming case, dynamic competition, AI doomsayers, AI influencers, the evolution of technologies, behavioral economics, scaling theory, and more... brought to you by Thibault SchrepelRead More
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),...Read More
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...Read More
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...Read More
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 SchrepelRead More
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 SchrepelRead More
