Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

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190 Episodio

  1. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

    Pubblicato: 15/08/2023
  2. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

    Pubblicato: 14/08/2023
  3. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

    Pubblicato: 04/08/2023
  4. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Pubblicato: 16/07/2023
  5. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

    Pubblicato: 02/07/2023
  6. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Pubblicato: 29/06/2023
  7. Joscha Bach and Connor Leahy on AI risk

    Pubblicato: 20/06/2023
  8. Neel Nanda - Mechanistic Interpretability

    Pubblicato: 18/06/2023
  9. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Pubblicato: 04/06/2023
  10. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Pubblicato: 31/05/2023
  11. ROBERT MILES - "There is a good chance this kills everyone"

    Pubblicato: 21/05/2023
  12. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Pubblicato: 16/05/2023
  13. Future of Generative AI [David Foster]

    Pubblicato: 11/05/2023
  14. PERPLEXITY AI - The future of search.

    Pubblicato: 08/05/2023
  15. #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

    Pubblicato: 16/04/2023
  16. Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

    Pubblicato: 10/04/2023
  17. #112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY

    Pubblicato: 02/04/2023
  18. #111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc

    Pubblicato: 01/04/2023
  19. #110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!

    Pubblicato: 23/03/2023
  20. #109 - Dr. DAN MCQUILLAN - Resisting AI

    Pubblicato: 20/03/2023

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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/).

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