Scaling Laws

Adi Tantravahi, founder of Cofactor, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to talk about how AI can help cut through the administrative red tape that underlies and, in many ways, undermines the modern healthcare system.

Cofactor’s AI platform focuses on denial management—an area where hospitals routinely lose revenue because insurance claims go unchallenged due to staffing constraints. Kevin and Adi unpack the economics of healthcare billing, why administrative overhead has grown so dramatically in American medicine, and how AI systems capable of autonomously managing appeals and reimbursement workflows might reshape the financial infrastructure of hospitals.
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Andy Masley joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior editor at Lawfare, and Alan Rozenshtein, research director at Lawfare and associate professor at Minnesota Law, to unpack the increasingly contentious issues related to data centers.

They discuss Andy’s efforts to challenge what he sees as misleading claims about data center water use, land use, electricity rates, and local community impacts.

Be sure to check out Andy’s substack here.
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Kal Clark, co-founder of Zauron Labs, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explain how AI is already reducing diagnostic errors in radiology.

Kal details how Zauron’s AI system functions as a second-look safety layer, reviewing imaging exams for high-impact missed findings before those results translate into patient outcomes.

Kal and Kevin then discuss the scale of diagnostic error in modern healthcare, the institutional barriers that have prevented systematic second reviews, and how open-source AI models combined with on-premise deployment might allow hospitals to build their own diagnostic intelligence while protecting patient data.
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Alan Rozenshtein, associate professor of law at the University of Minnesota and research director at Lawfare, and Kate Klonick, associate professor of law at St. John's University School of Law and a senior editor at Lawfare, spoke with science fiction novelist and technology journalist Cory Doctorow about about his new book, The Reverse Centaur's Guide to Life After AI, which argues that AI is being deployed to turn workers into "reverse centaurs" who serve machines rather than direct them, and that the economics of the AI industry add up to an unsustainable bubble.

The conversation covered the distinction between centaurs and reverse centaurs in automation theory; why Doctorow thinks the AI business loses money on every customer and can't pencil out; whether the AI boom is a "productive residue" bubble like the dot-com fiber glut or a pure value-destroyer like crypto; how AI has fused with the state and the stock market, raising the prospect of a slow deflation rather than a clean crash; whether statistical inference can ever amount to genuine understanding; AI's effect on labor, from warehouse injury rates to the burden of "marking the AI's homework"; AI art and the problem of intention; security risks like "slop squatting"; and the threat of knowledge collapse and what it means for the future of education.

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Dhruv Diddi, founder of Solo Tech, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the emerging frontier of Physical AI. Solo Tech builds infrastructure that allows developers to deploy AI models directly onto robots and edge devices rather than relying on cloud-based computation. In other words, think about allowing AI systems to operate in remote areas that have traditionally struggled to leverage the latest and greatest tech.

Kevin and Dhruv look into what it takes to move AI systems out of digital environments and into the physical world. They also chat about the idea of "gyms" for AI and policy challenges associated with highly-sophisticated robots becoming more ubiquitious.
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