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The Thomistic Institute

Can a Machine Understand?: ChatGPT, Knowledge, and the Nature of Understanding – Prof. Tomás Bogardus

The Thomistic Institute

The Thomistic Institute

Catholic Intellectual Tradition, Catholic, Thomism, Society & Culture, Religion & Spirituality, Catholicism, Philosophy, Christianity

4.8873 Ratings

🗓️ 12 January 2026

⏱️ 57 minutes

🧾️ Download transcript

Summary

Prof. Tomás Bogardus asks whether a machine can truly understand by unpacking how large language models like ChatGPT function and arguing that genuine knowledge requires rational insight and responsibility to truth that go beyond statistical text prediction.


This lecture was given on November 17th, 2025, at University of Georgia.


For more information on upcoming events, visit us at thomisticinstitute.org/upcoming-events.


About the Speakers:


Tomás Bogardus earned his BS in biology at UC San Diego, his MA in philosophy at Biola University, and his PhD in philosophy at the University of Texas at Austin. He works mainly in metaphysics and epistemology, and is most interested in the mind-body problem, the rationality of religious belief, and the nature of gender.


Keywords: Artificial Intelligence, Insight, Knowledge versus Prediction, Large Language Models, Next-Token Prediction Models, Pattern Recognition and Meaning, Statistical Language Modeling, Truth and Responsibility, Understanding

Transcript

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0:00.0

Welcome to the Tumistic Institute podcast.

0:06.0

Our mission is to promote the Catholic intellectual tradition in the university, the church, and the wider public square.

0:12.0

The lectures on this podcast are organized by university students at Tumistic Institute chapters around the world.

0:19.0

To learn more and to attend these events, visit us at

0:21.6

to mystic institute.org.

0:23.6

Today I'm doing something a little bit different.

0:27.6

Michael invited me to give a talk on a certain topic, not one that I had thought much about before.

0:34.6

The topic was, can a machine machine understand and he wanted to have a

0:39.7

little reflection on the relationship between artificial intelligence, knowledge, wisdom,

0:44.3

and understanding. And that sounded intriguing to me and so I thought like a good wedding

0:50.1

DJ, maybe I should take some requests and this is the product of that work.

0:56.9

So I think, I mean, the field of artificial intelligence,

0:59.3

as far as I can understand, is in some ways a collaborative field,

1:02.7

like what cognitive science was in the 90s,

1:05.9

and philosophers play some role in that.

1:10.6

And to speak intelligently about these issues, it looks like ideally you'd be super well informed

1:15.7

in computer science, mathematics, philosophy, maybe some other fields.

1:20.6

Nobody's super well informed in all those areas.

1:23.2

So what you're going to hear today is a little contribution using, relying on my background

1:28.9

and philosophy of mind and epistemology and then venturing pretty far outside of my lane

1:34.0

to talk about large language models.

1:37.8

And we're privileged to have as a guest an emeritus professor of artificial intelligence

...

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