Machine Learning Street Talk (MLST)

En podkast av Machine Learning Street Talk (MLST)

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209 Episoder

  1. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

    Publisert: 14.8.2023
  2. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

    Publisert: 4.8.2023
  3. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Publisert: 16.7.2023
  4. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

    Publisert: 2.7.2023
  5. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Publisert: 29.6.2023
  6. Joscha Bach and Connor Leahy on AI risk

    Publisert: 20.6.2023
  7. Neel Nanda - Mechanistic Interpretability

    Publisert: 18.6.2023
  8. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Publisert: 4.6.2023
  9. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Publisert: 31.5.2023
  10. ROBERT MILES - "There is a good chance this kills everyone"

    Publisert: 21.5.2023
  11. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Publisert: 16.5.2023
  12. Future of Generative AI [David Foster]

    Publisert: 11.5.2023
  13. PERPLEXITY AI - The future of search.

    Publisert: 8.5.2023
  14. #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

    Publisert: 16.4.2023
  15. Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

    Publisert: 10.4.2023
  16. #112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY

    Publisert: 2.4.2023
  17. #111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc

    Publisert: 1.4.2023
  18. #110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!

    Publisert: 23.3.2023
  19. #109 - Dr. DAN MCQUILLAN - Resisting AI

    Publisert: 20.3.2023
  20. #108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]

    Publisert: 16.3.2023

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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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