Guests: <ul><li>Tomer Ullman, Assistant Professor, Department of Psychology, Harvard University</li><li>Murray Shanahan, Professor of Cognitive Robotics, Department of Computing, Imperial College London; Principal Research Scientist, Google DeepMind</li></ul>Hosts: Abha Eli Phoboo & Melanie MitchellProducer: 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></ul>Books: <ul><li>Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell</li><li>The Technological Singularity by Murray Shanahan</li><li>Embodiment and the inner life: Cognition and Consciousness in the Space of Possible Minds by Murray Shanahan</li><li>Solving the Frame Problem by Murray Shanahan</li><li>Search, Inference and Dependencies in Artificial Intelligence by Murray Shanahan and Richard Southwick</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.bbc.com/news/av/technology-30296999">Artificial intelligence: A brief introduction to AI</a> by Murray Shanahan</li></ul>Papers & Articles:<ul><li>“<a href="https://www.nytimes.com/2023/02/16/technology/bing-chatbot-microsoft-chatgpt.html">A Conversation With Bing’s Chatbot Left Me Deeply Unsettled</a>,” in New York Times (Feb 16, 2023)</li><li>“Bayesian Models of Conceptual Development: Learning as Building Models of the World,” in <a href="https://www.annualreviews.org/content/journals/devpsych">Annual Review of Developmental Psychology </a><a href="https://www.annualreviews.org/content/journals/devpsych/2/1">Volume 2</a> (Oct 26, 2020), <a href="https://doi.org/10.1146/annurev-devpsych-121318-084833">doi.org/10.1146/annurev-devpsych-121318-084833</a></li><li>“Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models,” in Findings of the Association for Computational Linguistics (December 2023), doi.org/<a href="https://doi.org/10.18653/v1/2023.findings-emnlp.264">10.18653/v1/2023.findings-emnlp.264</a></li><li>“Role play with large language models,” in Nature (Nov 8, 2023), <a href="http://doi.org/10.1038/s41586-023-06647-8">doi.org/10.1038/s41586-023-06647-8</a></li><li>“Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks,” arXiv (v5, March 14, 2023), <a href="https://doi.org/10.48550/arXiv.2302.08399">doi.org/10.48550/arXiv.2302.08399</a></li><li>“<a href="https://cacm.acm.org/research/talking-about-large-language-models/">Talking about Large Language Models</a>,” in Communications of the ACM (Feb 12, 2024), </li><li>“Simulacra as Conscious Exotica,” in arXiv (v2, July 11, 2024), <a href="https://doi.org/10.48550/arXiv.2402.12422">doi.org/10.48550/arXiv.2402.12422</a></li></ul>

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