Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]
Opublikowany: 2.07.2023 -
[SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)
Opublikowany: 29.06.2023 -
Joscha Bach and Connor Leahy on AI risk
Opublikowany: 20.06.2023 -
Neel Nanda - Mechanistic Interpretability
Opublikowany: 18.06.2023 -
Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)
Opublikowany: 4.06.2023 -
Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]
Opublikowany: 31.05.2023 -
ROBERT MILES - "There is a good chance this kills everyone"
Opublikowany: 21.05.2023 -
AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)
Opublikowany: 16.05.2023 -
Future of Generative AI [David Foster]
Opublikowany: 11.05.2023 -
PERPLEXITY AI - The future of search.
Opublikowany: 8.05.2023 -
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Opublikowany: 16.04.2023 -
Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction
Opublikowany: 10.04.2023 -
#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY
Opublikowany: 2.04.2023 -
#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc
Opublikowany: 1.04.2023 -
#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
Opublikowany: 23.03.2023 -
#109 - Dr. DAN MCQUILLAN - Resisting AI
Opublikowany: 20.03.2023 -
#108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
Opublikowany: 16.03.2023 -
#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
Opublikowany: 13.03.2023 -
#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
Opublikowany: 11.03.2023 -
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Opublikowany: 4.03.2023
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/).