Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
Categorie:
190 Episodio
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STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics
Pubblicato: 15/08/2023 -
Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS
Pubblicato: 14/08/2023 -
Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy
Pubblicato: 04/08/2023 -
Dr. MAXWELL RAMSTEAD - The Physics of Survival
Pubblicato: 16/07/2023 -
MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]
Pubblicato: 02/07/2023 -
[SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)
Pubblicato: 29/06/2023 -
Joscha Bach and Connor Leahy on AI risk
Pubblicato: 20/06/2023 -
Neel Nanda - Mechanistic Interpretability
Pubblicato: 18/06/2023 -
Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)
Pubblicato: 04/06/2023 -
Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]
Pubblicato: 31/05/2023 -
ROBERT MILES - "There is a good chance this kills everyone"
Pubblicato: 21/05/2023 -
AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)
Pubblicato: 16/05/2023 -
Future of Generative AI [David Foster]
Pubblicato: 11/05/2023 -
PERPLEXITY AI - The future of search.
Pubblicato: 08/05/2023 -
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Pubblicato: 16/04/2023 -
Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction
Pubblicato: 10/04/2023 -
#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY
Pubblicato: 02/04/2023 -
#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc
Pubblicato: 01/04/2023 -
#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
Pubblicato: 23/03/2023 -
#109 - Dr. DAN MCQUILLAN - Resisting AI
Pubblicato: 20/03/2023
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/).