Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
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.
The logistics details for each session will be provided to registered participants. Sign up here to be included on the mailing list and learn about future events.
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
The BATES events are completely free to attend. If you’d like to support future events and our research, please consider making a gift to Stanford Data Science: https://bit.ly/supportSDS