Guest:

• Melanie Mitchell, Resident Professor, Santa Fe Institute

Hosts: Abha Eli Phoboo

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Follow us on:
Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

More info:

• Tutorial: Fundamentals of Machine Learning
• Lecture: Artificial Intelligence
• SFI programs: Education
• Competition: ARC Prize

Books:

• Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter
• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
• Complexity: A Guided Tour by Melanie Mitchell

Talks:

• The Future of Artificial Intelligence by Melanie Mitchell
• Introduction: AI and the Barrier of Meaning 2 by Melanie Mitchell
• Conceptual Abstraction and Analogy in Natural and Artificial Intelligence by Melanie Mitchell

Papers & Articles:

• “The metaphors of artificial intelligence,” in Science (November 14, 2024), doi: 10.1126/science.adt6140
• “Using counterfactual tasks to evaluate the generality of analogical reasoning in Large Language Models,” in arXiv (February 14, 2024), doi.org/10.48550/arXiv.2402.08955
• “Comparing humans, GPT-4, and GPT-4V on abstraction and reasoning tasks, ” (Proceedings of the LLM-CP Workshop, AAAI 2024), arXiv (December 11, 2023), doi.org/10.48550/arXiv.2311.09247
• “The debate over understanding in AI’s large language models,” in PNAS (March 21, 2023), doi.org/10.1073/pnas.2215907120
• “The ConceptARC benchmark: evaluating understanding and generalization in the ARC domain,” in Transactions on Machine Learning Research (August 2023), arXiv (May 11, 2023), doi.org/10.48550/arXiv.2305.07141

Guests:

• Erica Cartmill, Professor, Anthropology and Cognitive Science, Indiana University Bloomington
• Ellie Pavlick, Assistant Professor, Computer Science and Linguistics, Brown University

Hosts: Abha Eli Phoboo & Melanie Mitchell

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Follow us on:
Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

More info:

• Tutorial: Fundamentals of Machine Learning
• Lecture: Artificial Intelligence
• SFI programs: Education
• Diverse Intelligences Summer Institute

Books:

• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

Talks:

• How do we know what an animal understands by Erica Cartmill
• The Future of Artificial Intelligence by Melanie Mitchell

Papers & Articles:

• “Just kidding: the evolutionary roots of playful teasing,” in Biology Letters (September 23, 2020), doi.org/10.1098/rsbl.2020.0370
• “Overcoming bias in the comparison of human language and animal communication,” in PNAS (November 13, 2023), doi.org/10.1073/pnas.22187991
• “Using the senses in animal communication,” by Erica Cartmill, in A New Companion to Linguistic Anthropology, Chapter 20, Wiley Online Library (March 21, 2023)
• “Symbols and grounding in large language models,” in Philosophical Transactions of the Royal Society A (June 5, 2023), doi.org/10.1098/rsta.2022.0041
• “Emergence of abstract state representations in embodied sequence modeling,” in arXiv (November 7, 2023), doi.org/10.48550/arXiv.2311.02171
• “How do we know how smart AI systems are,” in Science (July 13, 2023), doi: 10.1126/science.adj59

Guests:

• Linda Smith, Distinguished Professor and Chancellor's Professor, Psychological and Brain Sciences, Department of Psychological and Brain Sciences, Indiana University Bloomington
• Michael Frank, Benjamin Scott Crocker Professor of Human Biology, Department of Psychology, Stanford University

Hosts: Abha Eli Phoboo & Melanie Mitchell

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Follow us on:
Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

More info:

• Tutorial: Fundamentals of Machine Learning
• Lecture: Artificial Intelligence
• SFI programs: Education

Books:

• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

Talks:

• Why "Self-Generated Learning” May Be More Radical and Consequential Than First Appears by Linda Smith
• Children’s Early Language Learning: An Inspiration for Social AI, by Michael Frank at Stanford HAI
• The Future of Artificial Intelligence by Melanie Mitchell

Papers & Articles:

• “Curriculum Learning With Infant Egocentric Videos,” in NeurIPS 2023 (September 21)
• “The Infant’s Visual World The Everyday Statistics for Visual Learning,” by Swapnaa Jayaraman and Linda B. Smith, in The Cambridge Handbook of Infant Development: Brain, Behavior, and Cultural Context, Chapter 20, Cambridge University Press (September 26, 2020)
• “Can lessons from infants solve the problems of data-greedy AI?” in Nature (March 18, 2024), doi.org/10.1038/d41586-024-00713-5
• “Episodes of experience and generative intelligence,” in Trends in Cognitive Sciences (October 19, 2022), doi.org/10.1016/j.tics.2022.09.012
• “Baby steps in evaluating the capacities of large language models,” in Nature Reviews Psychology (June 27, 2023), doi.org/10.1038/s44159-023-00211-x
• “Auxiliary task demands mask the capabilities of smaller language models,” in COLM (July 10, 2024)
• “Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model,” in Cognitive Science (First published: 14 May 2024), doi.org/10.1111/cogs.13448