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

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

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

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 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 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

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