Machine Learning Street Talk (MLST)
En podkast av Machine Learning Street Talk (MLST)
Kategorier:
209 Episoder
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#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
Publisert: 13.3.2023 -
#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
Publisert: 11.3.2023 -
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Publisert: 4.3.2023 -
#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Publisert: 22.2.2023 -
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
Publisert: 11.2.2023 -
#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism
Publisert: 11.2.2023 -
#101 DR. WALID SABA - Extrapolation, Compositionality and Learnability
Publisert: 10.2.2023 -
#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
Publisert: 10.2.2023 -
#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism
Publisert: 5.2.2023 -
[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information
Publisert: 3.2.2023 -
#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information
Publisert: 3.2.2023 -
#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
Publisert: 28.1.2023 -
#96 Prof. PEDRO DOMINGOS - There are no infinities, utility functions, neurosymbolic
Publisert: 30.12.2022 -
#95 - Prof. IRINA RISH - AGI, Complex Systems, Transhumanism
Publisert: 26.12.2022 -
#94 - ALAN CHAN - AI Alignment and Governance #NEURIPS
Publisert: 26.12.2022 -
#93 Prof. MURRAY SHANAHAN - Consciousness, Embodiment, Language Models
Publisert: 24.12.2022 -
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
Publisert: 23.12.2022 -
#91 - HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS
Publisert: 20.12.2022 -
(Music Removed) #90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]
Publisert: 19.12.2022 -
#90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]
Publisert: 19.12.2022
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/).
