Economics, Hayek, and Large Language Models
For the first time, Large Language Models give us a direct and effective means of conversing with Artificial Intelligence on substantive questions of our choosing, including matters of economics. How do Large Language Models change our conception of how economies work? Are economies better described by words than we thought, or less well described? Given this new power of text, is Michael Polanyi's phenomenon of inarticulable knowledge more or less important?
Overall, what can economists learn from this new development, and what will it mean for economies?
Meet our speaker and chair
Tyler Cowen (@tylercowen) is Holbert L. Harris Professor of Economics at George Mason University and also Director of the Mercatus Center. He received his PhD in economics from Harvard University in 1987.
Nava Ashraf (@profnavaashraf) is Professor in the Department of Economics at the London School of Economics and Political Science (LSE).
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