Guest: <ul><li>Melanie Mitchell, Resident Professor, Santa Fe Institute</li></ul>Hosts: Abha Eli PhobooProducer: Katherine MoncurePodcast theme music by: Mitch MignanoFollow us on:<a href="http://twitter.com/sfiscience">Twitter</a> • <a href="http://youtube.com/c/sfiscience">YouTube</a> • <a href="http://facebook.com/santafeinstitute">Facebook</a> • <a href="http://instagram.com/sfiscience">Instagram</a> • <a href="https://linkedin.com/company/20131/">LinkedIn</a>  • <a href="https://bsky.app/profile/sfiscience.bsky.social">Bluesky</a>More info:<ul><li>Tutorial: <a href="https://www.complexityexplorer.org/courses/81-fundamentals-of-machine-learning">Fundamentals of Machine Learning</a></li><li>Lecture: <a href="https://www.complexityexplorer.org/courses/108-lecture-artificial-intelligence/segments/10440?summary">Artificial Intelligence</a></li><li>SFI programs: <a href="https://www.santafe.edu/engage/learn/overview">Education</a></li><li>Competition: <a href="https://arcprize.org/">ARC Prize</a></li></ul>Books: <ul><li>Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter</li><li>Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell</li><li>Complexity: A Guided Tour by Melanie Mitchell</li></ul>Talks: <ul><li><a href="https://www.youtube.com/watch?v=GwHDAfAAKd4">The Future of Artificial Intelligence</a> by Melanie Mitchell</li><li><a href="https://www.youtube.com/watch?v=SIWN00FjIxY">Introduction: AI and the Barrier of Meaning 2</a> by Melanie Mitchell</li><li><a href="https://www.youtube.com/watch?v=rT4MH9BZ7WU">Conceptual Abstraction and Analogy in Natural and Artificial Intelligence</a> by Melanie Mitchell</li></ul>Papers & Articles:<ul><li>“The metaphors of artificial intelligence,” in Science (November 14, 2024), <a href="https://doi.org/10.1126/science.adt6140">doi: 10.1126/science.adt6140</a></li><li>“Using counterfactual tasks to evaluate the generality of analogical reasoning in Large Language Models,” in arXiv (February 14, 2024), <a href="https://doi.org/10.48550/arXiv.2402.08955">doi.org/10.48550/arXiv.2402.08955</a></li><li>“Comparing humans, GPT-4, and GPT-4V on abstraction and reasoning tasks, ” (Proceedings of the LLM-CP Workshop, AAAI 2024), arXiv (December 11, 2023), <a href="https://doi.org/10.48550/arXiv.2311.09247">doi.org/10.48550/arXiv.2311.09247</a></li><li>“The debate over understanding in AI’s large language models,” in PNAS (March 21, 2023), <a href="https://doi.org/10.1073/pnas.2215907120">doi.org/10.1073/pnas.2215907120</a></li><li>“The ConceptARC benchmark: evaluating understanding and generalization in the ARC domain,” in Transactions on Machine Learning Research (August 2023), arXiv (May 11, 2023), <a href="https://doi.org/10.48550/arXiv.2305.07141">doi.org/10.48550/arXiv.2305.07141</a></li></ul>

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