Here are Thibault Schrepel’s monthly reading suggestions. Topics include: computational antitrust, efficiencies in the DMA, open-source AI, access to innovative AI, copyright in generative AI, a new GDPR, a new crypto task force, measures of economic complexity, a tribute to Richard Nelson, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include: the Vestager years, GPUs, policy cycles in the age of AI, business models eating law, the national security internet, GenAI at work, scaling intelligence, and more.Read More
Here are Thibault Schrepel's monthly reading suggestions: topics include competition amongst AI foundation models, computational antitrust in Egypt, the horizontal acquisitions of growth potential, the EU AI Act, the DMA, new economics, institutional technology, d/acc, the role of digital platforms in shaping tech venture innovation, 2025 predictions, and more.Read More
Here are the Network Law Review’s monthly reading suggestions: topics include Lina Khan's farewell, antitrust failures, AGI, the evolution of technology, poor industrial policy, Hayek's insights on psychology, DOGE, Nobel minds, and the good news of 2024, among others. Brought to you by Thibault Schrepel.Read More
Here are the Network Law Review’s monthly reading suggestions: topics include breaking up Big Tech, the evolution of market structure reasoning, regulating AI without stifling innovation, IKEA, an evolutionary take on platforms, an Olympic marathoner, and complexity science in law, among others. Brought to you by Thibault Schrepel.Read More
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
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
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
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
