Sean Carroll
@seancarroll·255K subscribers·596 videos
Chandra Sripada on How LLMs and Humans are Cognitive Cousins | Mindscape 363
Posted
August 10, 2026
Views
2,957
Likes
136
Comments
42
Engagement
6.02%
August 10, 2026
2,957
136
42
6.02%
Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
Episode Timeline
Every episode in order around the one you’re watching — click any card and the page flips straight to it.
1:25:22
1:54:14Now PlayingBlog post with audio player, show notes, and transcript
Large Language Models display an uncanny ability to construct human-sounding speech, and can synthesize concepts in novel ways. Is this because they are truly thinking like human beings in some way, or have they found a way to be human-like without reproducing the internal mechanisms of human thought? Chandra Sripada argues that LLM cognition is more human-like than we suppose, and offers evidence from the ways that cognitive scientists study actual humans.
Chandra Sripada received an M.D. from the University of Texas and a Ph.D. in philosophy from Rutgers University. He is currently a professor of philosophy and psychiatry at the University of Michigan, where he holds the Theophile Raphael Research Professorship and directs the Weinberg Institute for Cognitive Science. He writes Cognition, Decoded, a Substack newsletter about AI, cognitive science, and philosophy.
Mindscape Podcast playlist
Sean Carroll channel
#podcast #ideas #science #philosophy #culture
Babbel is offering listeners up to 60% off. Go to #ad
Get 60% off an annual plan from Incogni using code MINDSCAPE at #ad
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.
