Talk Title: Stylized Facts about AI and Human Capabilities
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: Tom Cunningham, Data Scientist, METR (previously at OpenAI)
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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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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