• Nature of Intelligence, Ep. 3: What kind of intelligence is an LLM?

  • 2024/10/23
  • 再生時間： 45 分
  • ポッドキャスト

Nature of Intelligence, Ep. 3: What kind of intelligence is an LLM?

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  • サマリー

  • Guests:

    • Tomer Ullman, Assistant Professor, Department of Psychology, Harvard University
    • Murray Shanahan, Professor of Cognitive Robotics, Department of Computing, Imperial College London; Principal Research Scientist, Google DeepMind

    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
    • The Technological Singularity by Murray Shanahan
    • Embodiment and the inner life: Cognition and Consciousness in the Space of Possible Minds by Murray Shanahan
    • Solving the Frame Problem by Murray Shanahan
    • Search, Inference and Dependencies in Artificial Intelligence by Murray Shanahan and Richard Southwick

    Talks:

    • The Future of Artificial Intelligence by Melanie Mitchell
    • Artificial intelligence: A brief introduction to AI by Murray Shanahan

    Papers & Articles:

    • “A Conversation With Bing’s Chatbot Left Me Deeply Unsettled,” in New York Times (Feb 16, 2023)
    • “Bayesian Models of Conceptual Development: Learning as Building Models of the World,” in Annual Review of Developmental Psychology Volume 2 (Oct 26, 2020), doi.org/10.1146/annurev-devpsych-121318-084833
    • “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/10.18653/v1/2023.findings-emnlp.264
    • “Role play with large language models,” in Nature (Nov 8, 2023), doi.org/10.1038/s41586-023-06647-8
    • “Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks,” arXiv (v5, March 14, 2023), doi.org/10.48550/arXiv.2302.08399
    • “Talking about Large Language Models,” in Communications of the ACM (Feb 12, 2024),
    • “Simulacra as Conscious Exotica,” in arXiv (v2, July 11, 2024), doi.org/10.48550/arXiv.2402.12422
    続きを読む 一部表示

あらすじ・解説

Guests:

  • Tomer Ullman, Assistant Professor, Department of Psychology, Harvard University
  • Murray Shanahan, Professor of Cognitive Robotics, Department of Computing, Imperial College London; Principal Research Scientist, Google DeepMind

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
  • The Technological Singularity by Murray Shanahan
  • Embodiment and the inner life: Cognition and Consciousness in the Space of Possible Minds by Murray Shanahan
  • Solving the Frame Problem by Murray Shanahan
  • Search, Inference and Dependencies in Artificial Intelligence by Murray Shanahan and Richard Southwick

Talks:

  • The Future of Artificial Intelligence by Melanie Mitchell
  • Artificial intelligence: A brief introduction to AI by Murray Shanahan

Papers & Articles:

  • “A Conversation With Bing’s Chatbot Left Me Deeply Unsettled,” in New York Times (Feb 16, 2023)
  • “Bayesian Models of Conceptual Development: Learning as Building Models of the World,” in Annual Review of Developmental Psychology Volume 2 (Oct 26, 2020), doi.org/10.1146/annurev-devpsych-121318-084833
  • “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/10.18653/v1/2023.findings-emnlp.264
  • “Role play with large language models,” in Nature (Nov 8, 2023), doi.org/10.1038/s41586-023-06647-8
  • “Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks,” arXiv (v5, March 14, 2023), doi.org/10.48550/arXiv.2302.08399
  • “Talking about Large Language Models,” in Communications of the ACM (Feb 12, 2024),
  • “Simulacra as Conscious Exotica,” in arXiv (v2, July 11, 2024), doi.org/10.48550/arXiv.2402.12422
続きを読む 一部表示

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