Release Schedules and Iterative Deployment with Open AI's Ziad Reslan

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Scaling Laws

Lawfare & University of Texas Law School

191 episodes

2 days ago

Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

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Hosted on Acast. See acast.com/privacy for more information.

Release Schedules and Iterative Deployment with Open AI's Ziad Reslan

Scaling Laws

51 minutes 8 seconds

1 week ago

Release Schedules and Iterative Deployment with Open AI's Ziad Reslan

Ziad Reslan, a member of OpenAI’s Product Policy Staff and a Senior Fellow with the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power at Yale University, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to talk about iterative deployment--the lab’s approach to testing and deploying its models. It’s a complex and, at times, controversial approach.

Ziad provides the rationale behind iterative deployment and tackles some questions about whether the strategy has always worked as intended.

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