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
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