Exploring Automation in Scientific Discovery | 4min snip from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Automating Scientific Discovery, with Andrew White, Head of Science at Future House

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Exploring Automation in Scientific Discovery

This chapter explores the integration of large language models in scientific experimentation, emphasizing the potential for hybrid systems that combine human input with automation. It discusses the effectiveness of these methods compared to traditional approaches and contemplates the implications for the future roles of researchers in scientific discovery.

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In this episode of The Cognitive Revolution, Nathan interviews Andrew White, Professor of Chemical Engineering at the University of Rochester and Head of Science at Future House. We explore groundbreaking AI systems for scientific discovery, including PaperQA and Aviary, and discuss how large language models are transforming research. Join us for an insightful conversation about the intersection of AI and scientific advancement with this pioneering researcher in his first-ever podcast appearance.

Check out Future House: https://www.futurehouse.org

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CHAPTERS:

(00:00:00) Teaser

(00:01:13) About the Episode

(00:04:37) Andrew White's Journey

(00:10:23) GPT-4 Red Team

(00:15:33) GPT-4 & Chemistry

(00:17:54) Sponsors: Oracle Cloud Infrastructure (OCI) | SelectQuote

(00:20:19) Biology vs Physics

(00:23:14) Conceptual Dark Matter

(00:26:27) Future House Intro

(00:30:42) Semi-Autonomous AI

(00:35:39) Sponsors: Shopify