Cybersecurity & Tech

Scaling Laws: The Open Questions Surrounding Open Source AI with Nathan Lambert and Keegan McBride

Alan Z. Rozenshtein, Kevin Frazier, Keegan McBride, Nathan Lambert
Thursday, August 21, 2025, 10:00 AM
Exploring the current state of open source AI model development.

Published by The Lawfare Institute
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Keegan McBride, Senior Policy Advisor in Emerging Technology and Geopolitics at the Tony Blair Institute, and Nathan Lambert, a post-training lead at the Allen Institute for AI, join Alan Rozenshein, Associate Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore the current state of open source AI model development and associated policy questions.

The pivot to open source has been swift following initial concerns that the security risks posed by such models outweighed their benefits. What this transition means for the US AI ecosystem and the global AI competition is a topic worthy of analysis by these two experts.


Alan Z. Rozenshtein is an Associate Professor of Law at the University of Minnesota Law School, Research Director and Senior Editor at Lawfare, a Nonresident Senior Fellow at the Brookings Institution, and a Term Member of the Council on Foreign Relations. Previously, he served as an Attorney Advisor with the Office of Law and Policy in the National Security Division of the U.S. Department of Justice and a Special Assistant United States Attorney in the U.S. Attorney's Office for the District of Maryland. He also speaks and consults on technology policy matters.
Kevin Frazier is an AI Innovation and Law Fellow at UT Austin School of Law and Senior Editor at Lawfare .
Dr. Keegan McBride serves is a Lecturer in AI, government, and policy at the Oxford Internet Institute, a Non-Resident Senior Fellow at the Foundation for American Innovation, and an Adjunct Senior Fellow in National Security and Technology at the Center for a New American Security. His research explores how new and emerging disruptive technologies are transforming our understanding of the state, government, and power.
Nathan Lambert is a post-training lead at the Allen Institute for AI.
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