Bay Area Tech Economics Seminar with Tom Cunningham, METR
Overview
Speaker: Tom Cunningham, Data Scientist, METR (previously at OpenAI)
Abstract: We discuss stylized facts about the capabilities of recent AI models and how they compare to human capabilities. We particularly draw attention to a common latent factor of capabilities among AI models, and the fact that this latent factor is different from the distribution of human capabilities. We discuss various candidates for the “missing capability” that would unlock a greater economic impact.
Speaker Bio: Tom has worked as a senior data scientist at Meta, Twitter, and OpenAI, on a range of topics, including strategy, pricing, anti-trust, advertiser behavior, and auction design, network effects (experimentation, modeling, tipping points), many aspects of experimentation, LLM model behavior, and content moderation.
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Highlights
- 2 hours
- In person
Location
John A. and Cynthia Fry Gunn Rotunda, E241 at the ChEM-H / Neuro research complex
290 Jane Stanford Way
Neuroscience Building (East Wing), 2nd floor Stanford, CA 94305
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Organized by
Stanford Data Science
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