Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
Categories:
190 Episodes
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#108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
Published: 3/16/2023 -
#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
Published: 3/13/2023 -
#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
Published: 3/11/2023 -
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Published: 3/4/2023 -
#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Published: 2/22/2023 -
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
Published: 2/11/2023 -
#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism
Published: 2/11/2023 -
#101 DR. WALID SABA - Extrapolation, Compositionality and Learnability
Published: 2/10/2023 -
#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
Published: 2/10/2023 -
#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism
Published: 2/5/2023 -
[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information
Published: 2/3/2023 -
#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information
Published: 2/3/2023 -
#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
Published: 1/28/2023 -
#96 Prof. PEDRO DOMINGOS - There are no infinities, utility functions, neurosymbolic
Published: 12/30/2022 -
#95 - Prof. IRINA RISH - AGI, Complex Systems, Transhumanism
Published: 12/26/2022 -
#94 - ALAN CHAN - AI Alignment and Governance #NEURIPS
Published: 12/26/2022 -
#93 Prof. MURRAY SHANAHAN - Consciousness, Embodiment, Language Models
Published: 12/24/2022 -
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
Published: 12/23/2022 -
#91 - HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS
Published: 12/20/2022 -
(Music Removed) #90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]
Published: 12/19/2022
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).