Machine Learning Street Talk (MLST) cover art

Machine Learning Street Talk (MLST)

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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Most frequent guests

  1. Francois Chollet 6 episodes
  2. Gary Marcus 5 episodes
  3. Connor Leahy 5 episodes
  4. Joscha Bach 3 episodes
  5. Karl Friston 3 episodes
  6. Kenneth Stanley 3 episodes
  7. Pedro Domingos 3 episodes
  8. Jeff Beck 3 episodes
  9. Jurgen Schmidhuber 3 episodes
  10. Sara Hooker 3 episodes

Every guest on Machine Learning Street Talk (MLST)

172 guests, ranked by how many people never want them back.

  1. —
    Michael Levin

    Michael Levin - Why Intelligence Isn't Limited To Brains. · Oct 2024

    0 votes
  2. —
    Yann Lecun

    061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero) · 2 episodes

    0 votes
  3. —
    Ryan Greenblatt

    Ryan Greenblatt - Solving ARC with GPT4o · Jul 2024

    0 votes
  4. —
    Francois Chollet

    ARC Prize v2 Launch! (Francois Chollet and Mike Knoop) · 6 episodes

    0 votes
  5. —
    Eliezer Yudkowsky

    Eliezer Yudkowsky and Stephen Wolfram on AI X-risk · 2 episodes

    0 votes
  6. —
    Michael I. Jordan

    Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria) · May 2026

    0 votes
  7. —
    Joscha Bach

    Joscha Bach - Why Your Thoughts Aren't Yours. · 3 episodes

    0 votes
  8. —
    George Hotz

    Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy · Aug 2023

    0 votes
  9. —
    Stephen Wolfram

    STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics · Aug 2023

    0 votes
  10. —
    Jeff Hawkins

    #59 - Jeff Hawkins (Thousand Brains Theory) · Sep 2021

    0 votes
  11. —
    Ishan Misra

    #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR). · Jun 2021

    0 votes
  12. —
    Ben Goertzel

    Ben Goertzel on "Superintelligence" · 2 episodes

    0 votes
  13. —
    Karl Friston

    Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle) · 3 episodes

    0 votes
  14. —
    Mike Israetel

    "I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · Dec 2025

    0 votes
  15. —
    Max Bennett

    Your Brain is Running a Simulation Right Now [Max Bennett] · Dec 2025

    0 votes
  16. —
    Daniel Dennett

    Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION) · Jun 2023

    0 votes
  17. —
    Daniel Kokotajlo

    AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen · 2 episodes

    0 votes
  18. —
    David Chalmers

    David Chalmers - Reality+ · Jul 2024

    0 votes
  19. —
    Gary Marcus

    Taming Silicon Valley - Prof. Gary Marcus · 5 episodes

    0 votes
  20. —
    Yoshua Bengio

    Yoshua Bengio - Designing out Agency for Safe AI · 2 episodes

    0 votes
  21. —
    David Foster

    MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER] · 2 episodes

    0 votes
  22. —
    Aidan Gomez

    #80 AIDAN GOMEZ [CEO Cohere] - Language as Software · Nov 2022

    0 votes
  23. —
    Eiso Kant

    Eiso Kant (CTO poolside) - Superhuman Coding Is Coming! · Apr 2025

    0 votes
  24. —
    Kenneth Stanley

    The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar) · 3 episodes

    0 votes
  25. —
    Nick Frosst

    Cohere co-founder Nick Frosst on building LLM apps for business · Jun 2024

    0 votes
  26. —
    Pedro Domingos

    Pedro Domingos: Tensor Logic Unifies AI Paradigms · 3 episodes

    0 votes
  27. —
    Cesar Hidalgo

    The 3 Laws of Knowledge [César Hidalgo] · Dec 2025

    0 votes
  28. —
    Melanie Mitchell

    Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken! · 2 episodes

    0 votes
  29. —
    Philip Ball

    Philip Ball - How Life Works · Apr 2024

    0 votes
  30. —
    Adam Becker

    Every Exponential Ends — Silicon Valley Forgot — Adam Becker · Aug 2026

    0 votes
  31. —
    Anil Ananthaswamy

    The Elegant Math Behind Machine Learning - Anil Ananthaswamy · Nov 2024

    0 votes
  32. —
    Chris Kempes

    The Universal Hierarchy of Life - Prof. Chris Kempes [SFI] · Oct 2025

    0 votes
  33. —
    0 votes
  34. —
    Dan Hendrycks

    Superintelligence Strategy (Dan Hendrycks) · Aug 2025

    0 votes
  35. —
    Lukas Biewald

    #76 - LUKAS BIEWALD (Weights and Biases CEO) · Jun 2022

    0 votes
  36. —
    Alistair Pullen

    Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · Jul 2026

    0 votes
  37. —
    Connor Leahy

    The Compendium - Connor Leahy and Gabriel Alfour · 5 episodes

    0 votes
  38. —
    Edward Hughes

    How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes · Sep 2026

    0 votes
  39. —
    Jonathan Frankle

    The Lottery Ticket Hypothesis with Jonathan Frankle · May 2020

    0 votes
  40. —
    Nicholas Carlini

    Nicholas Carlini (Google DeepMind) · 2 episodes

    0 votes

Recent episodes

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