eventSeminar
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Talk Title: Economics for the Coasean Singularity
Abstract: Andrey will discuss two active research areas at the intersection of economics and AI. First, Fradkin draws on their work about the market for LLMs to outline the open questions regarding competition among models, creators, and providers. Second, they will discuss the idea of a Coasean Singularity and some barriers to existing agentic technologies in fulfilling this ideal. Throughout, Fradkin poses open questions that we should be working on as a community.
Speaker: Andrey Fradkin, Associate Professor of Marketing, Boston University Questrom School of Business; Economics of AI, Amazon (on leave)
Speaker Bio: Andrey Fradkin is an associate professor of marketing at the Boston University Questrom School of Business and an affiliate of the Boston University Economics Department, currently on leave working on the economics of AI at Amazon. His research focuses on the economics of digital markets and AI, quantitative marketing, and search and matching markets, and has been published in top marketing, economics, and computer science outlets. He has provided expert input on the digital economy to the President's Council on Science and Technology and the Federal Trade Commission. He worked as a data scientist at Airbnb while completing his Ph.D. in Economics at Stanford University. He co-hosts the podcast Justified Posteriors.
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This talk is co-sponsored by USF's Master's in Applied Economics and the Stanford Causal Science Center. For additional information and abstracts from past talks, please click here
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