160 - Jennifer Hu: From Human Minds to Artificial Minds

Su chats with Dr. Jennifer Hu. Jenn is an Assistant Professor of Cognitive Science and Computer Science at Johns Hopkins University, directing the Group for Language and Intelligence. Her research examines the computational principles that underlie human language, and how language and cognition might be achieved by artificial models. In her work to answer these questions, she combines cognitive science and machine learning, with the dual goals of understanding the human mind and safely advancing artificial intelligence. We are discussing Jenn’s paper titled “Signatures of human-like processing in Transformer forward passes."

Jenn’s paper: https://arxiv.org/abs/2504.14107 

Jenn’s lab website: https://www.glintlab.org/ 

Jenn’s personal website: https://jennhu.github.io/ 

Su’s Twitter: https://x.com/sudkrc 

Podcast Twitter @StanfordPsyPod

Podcast Substack https://stanfordpsypod.substack.com/

Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com