Scaling Theory
#18 – James Evans: Science in the Age of AI
May 7, 2025
In this engaging discussion, James Evans, a Professor of Sociology and Computational Science at the University of Chicago, shares insights on how AI is transforming research methodologies. He explores the potential and pitfalls of using large language models to simulate human behavior, highlighting their impact on social dynamics and policy-making. The conversation delves into the future of research collaborations, emphasizing the importance of small teams and interdisciplinary innovation. Evans also reflects on the philosophical implications of viewing humanity as part of a grand experiment.
40:56
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Quick takeaways
- AI is revolutionizing research methodologies by enabling complex simulations of human behaviors and societal interactions through large language models.
- The effectiveness of small, agile research teams is crucial for innovation, combining AI's technological advantages with the benefits of human collaboration.
Deep dives
The Impact of AI on Research Methodology
AI is significantly transforming research methodologies by enabling the simulation of complex human behaviors and societal interactions. This transformation includes the use of large language models (LLMs) to simulate various social agents, such as a farmer or a police officer, providing insights into macro phenomena and historical counterfactuals. Researchers believe that these models will become common practice, especially in fields where data is scarce, particularly in scenarios related to existential risks and threats. The potential for AI to aid in data-driven decision-making and policy formulation highlights the urgency for scientists to adapt to these emerging methodologies.
