Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

230 | Raphaël Millière on How Artificial Intelligence Thinks

Mar 20, 2023

Raphaël Millière, a philosopher and cognitive scientist at Columbia University, dives into the intricacies of artificial intelligence and its thought processes. He distinguishes between artificial and biological intelligence, highlighting the simplicity of AI's neural networks compared to human brains. Millière discusses the evolution of language models and their learning mechanisms while emphasizing their limitations and the implications for AI safety. The conversation also probes ethical questions surrounding AI's perceived rights and the significance of embodied experiences in human cognition.

01:57:52

Episode guests

Raphaël Millière

Highlights

AI Chapters

Episode notes

Rethink Your Intuition on Model Interpolation

01:14

Memorization enables creativity through generalization

01:59

Semantic Competence in Language Models: A Controversial Perspective

00:56

Beware the Power-Seeking AI

01:22

Intro

5min

Unraveling Artificial Intelligence: From Past to Present

11min

Understanding the Gap Between Artificial and Biological Intelligence

4min

Unpacking the Complexity of Neural Networks in AI

4min

The Complexity of AI Language Models

27min

Exploring Compositionality in Cognition and AI

21min

Understanding AI: Intelligence, Creativity, and Language Models

26min

Understanding the Limitations of Language Models and AI Safety

5min

Emergent Abilities and Risks in Scaling AI Models

3min

10.

Intelligence Unpacked: AI vs Human Cognition

15min

Welcome to another episode of Sean Carroll's Mindscape. Today, we're joined by Raphaël Millière, a philosopher and cognitive scientist at Columbia University. We'll be exploring the fascinating topic of how artificial intelligence thinks and processes information. As AI becomes increasingly prevalent in our daily lives, it's important to understand the mechanisms behind its decision-making processes. What are the algorithms and models that underpin AI, and how do they differ from human thought processes? How do machines learn from data, and what are the limitations of this learning? These are just some of the questions we'll be exploring in this episode. Raphaël will be sharing insights from his work in cognitive science, and discussing the latest developments in this rapidly evolving field. So join us as we dive into the mind of artificial intelligence and explore how it thinks.

[The above introduction was artificially generated by ChatGPT.]

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Raphaël Millière received a DPhil in philosophy from the University of Oxford. He is currently a Presidential Scholar in Society and Neuroscience at the Center for Science and Society, and a Lecturer in the Philosophy Department at Columbia University. He also writes and organizes events aimed at a broader audience, including a recent workshop on The Challenge of Compositionality for Artificial Intelligence.

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