Two Think Minimum

Inside the NIH w/ Jay Bhattacharya on Innovation, Replication, and mRNA Policy by Technology Policy Institute

Welcome to a special edition of Two Think Minimum, the podcast of the Technology Policy Institute. This podcast is a replay of our August 18th panel discussion on antitrust policy from the 2025 TPI Aspen Forum. The panel covers Biden to Trump 2 asking whether antitrust traded expertise for populism, they hit mergers versus monopolization, politicization, content moderation, fights, and whether any of this will actually stick. The discussion was moderated by TPI President Emeritus and Senior Fellow Tom Lenard, and featured Dennis Carlton from the University of Chicago, Carl Shapiro from UC Berkeley, Howard Shelanski from Georgetown Law, and Christopher Yoo from the University of Pennsylvania.

Rewriting the Rules: Antitrust and the FTC with Jonathan M. Barnett and Larry White by Technology Policy Institute

William Kovacic and Jon Nuechterlein on Agency Independence and Humphrey's Executor by Technology Policy Institute

Little Tech, Big Challenges: Competing in the AI Era with Matt Perault by Technology Policy Institute

On the latest episode of Two Think Minimum, Gordon Crovitz, Co-CEO and Co-Founder of NewsGuard joins hosts Tom Lenard, Sarah Oh Lam, and Scott Wallsten to discuss the evolving landscape of news credibility, misinformation, and the role of media ratings. They discuss NewsGuard’s approach to assessing news sources, the controversies surrounding its ratings, and the broader implications of government involvement in media regulation.

Stablecoin Policy and the Future of Crypto with Christian Catalini by Technology Policy Institute

In this episode of Two Think Minimum, Nicolas Petit, Chair in Competition Law at the European University Institute, joins hosts Tom Lenard, Scott Wallsten, and Sarah Oh Lam to explore the pressing challenges facing European competitiveness. Drawing insights from the recent Draghi Report, Petit discusses Europe's innovation gaps, the role of big tech, and the critical policy shifts needed to secure the region's economic future.

On the latest episode of Two Think Minimum, TPI hosts Tom Lenard, Sarah Oh Lam, and Scott Wallsten explore the world of polls and prediction markets with Aristotle CEO John Phillips and General Counsel David Mason. Aristotle helps run PredictIt, a platform which enables research into how markets can forecast events in real-time. The conversation covers how PredictIt is navigating CFTC regulation, the broad value of small-dollar prediction markets to understanding public opinion and risk forecasting, and how PredictIt determines which questions to create contracts for. This episode offers valuable insights for anyone interested in the intersection of market dynamics, public opinion, and data-driven insights.

The Economics of AI: Prediction Machines and Their Impact with Ajay Agrawal by Technology Policy Institute

In this episode of Two Think Minimum, Ellen P. Goodman, a distinguished professor of law at Rutgers Law School and former Senior Advisor for Algorithmic Justice at NTIA, U.S. Department of Commerce discusses artificial intelligence accountability policy. The podcast revolves around the NTIA AI Accountability Policy Report, which was released in March 2024, which Goodman was the principal author of. Goodman shares insights into the process of gathering and analyzing public comments for the report, the challenges of defining accountability in the context of AI, and the complexities of establishing standards in a rapidly evolving field. The conversation also touches on the potential impact of AI on labor markets, the role of auditors in ensuring AI accountability, and the government's own use of AI technology. Goodman concludes by discussing her current research on AI and copyright issues, particularly the copyrightability of AI-generated outputs.

In this episode of Two Think Minimum, MIT Professor Catherine Tucker discusses her research on competition policy and artificial intelligence. The discussion focuses on how AI's unique cost structures differs from that of traditional digital economics, how economists think about AI, and the implications of AI for competition policy and antitrust enforcement. Tucker explains that the current high fixed and marginal costs in AI are likely temporary, and that it's difficult to predict which firms will succeed in the AI industry. She also highlights the challenges AI poses for antitrust enforcement, such as the potential lack of "hot docs," the need for greater technical expertise among regulators, and the importance of understanding the role of data and algorithms in competition analysis.

In this episode of Two Think Minimum, Caroline Cecot, an associate professor of law at Antonin Scalia Law School at George Mason University, talks about her recent article "The Meaning of ‘Silence.’" The discussion focuses on the potential consequences of narrowing the applicability of the Chevron doctrine and consequences on the major questions doctrine. She discusses the broader implications of overruling or limiting Chevron deference and the role of cost-benefit analysis in agency decision-making and the effect of the composition and views of the Supreme Court on administrative law issues.

FTC Actions on Antitrust Reforms with Ginger Jin and Liad Wagman by Technology Policy Institute

The latest episode of the TPI Two Think Minimum podcast featured guest Megan McArdle, discussing pressing issues at the intersection of technology and society. The podcast covered several topics related to technology, policy, and societal impact, emphasizing the need for careful consideration of the implications of technological advancements and regulatory actions. Key topics included the proposed U.S. legislation to ban or force a sale of TikTok over national security concerns, the biases detected in Google's AI system Gemini that favored certain political perspectives, and the broader societal adjustments that may be required as AI transforms various industries and jobs.