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Sean Carroll's Mindscape · August 10, 2026 · 1h 51m

363 | Chandra Sripada on How LLMs and Humans are Cognitive Cousins

Large language models like ChatGPT produce human-like language and synthesize ideas in novel ways. Are they truly thinking like humans, or just faking it? Chandra Sripada, a philosopher and psychiatrist, argues that LLM cognition is fundamentally similar to human cognition, not just a superficial imitation. He draws on cognitive science research to show that the internal mechanisms of LLMs parallel how humans actually think. The conversation explores evidence from cognitive psychology and neuroscience, challenging the common assumption that AI is merely an alien intelligence. Sripada's perspective reshapes how we understand both artificial and human minds.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Novel

LLMs and Humans Are Cognitive Cousins
Chandra Sripada presents evidence that large language models are more human-like in their cognition than commonly assumed, sharing deep structural similarities with human thought processes.

Highlights

Cognitive Science Methods for Evaluating AI
Sripada argues that the tools of cognitive science—originally developed to study human minds—can be applied to analyze and understand large language models.
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