242 Episodes

  1. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Published: 2/3/2021

  2. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Published: 1/31/2021

  3. #039 - Lena Voita - NLP

    Published: 1/23/2021

  4. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Published: 1/20/2021

  5. #037 - Tour De Bayesian with Connor Tann

    Published: 1/11/2021

  6. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

    Published: 1/3/2021

  7. #035 Christmas Community Edition!

    Published: 12/27/2020

  8. #034 Eray Özkural- AGI, Simulations & Safety

    Published: 12/20/2020

  9. #033 Prof. Karl Friston - The Free Energy Principle

    Published: 12/13/2020

  10. #032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

    Published: 12/6/2020

  11. #031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

    Published: 11/28/2020

  12. #030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

    Published: 11/20/2020

  13. #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

    Published: 11/8/2020

  14. NLP is not NLU and GPT-3 - Walid Saba

    Published: 11/4/2020

  15. AI Alignment & AGI Fire Alarm - Connor Leahy

    Published: 11/1/2020

  16. Kaggle, ML Community / Engineering (Sanyam Bhutani)

    Published: 10/28/2020

  17. Sara Hooker - The Hardware Lottery, Sparsity and Fairness

    Published: 10/20/2020

  18. The Social Dilemma Part 3 - Dr. Rebecca Roache

    Published: 10/11/2020

  19. The Social Dilemma - Part 2

    Published: 10/6/2020

  20. The Social Dilemma - Part 1

    Published: 10/3/2020

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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/).