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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Every guest on Machine Learning Street Talk (MLST)

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

1. —
   Gabriel Alfour
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2. —
   Gadi Singer
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3. —
   Guy Emerson

   #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics · Feb 2022

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4. —
   Hadi Salman

   #52 - Unadversarial Examples (Hadi Salman, MIT) · May 2021

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5. —
   Harri Valpola

   Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning · May 2020

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6. —
   Hattie Zhou

   #91 - HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS · Dec 2022

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7. —
   Hugo Touvron

   #044 - Data-efficient Image Transformers (Hugo Touvron) · Feb 2021

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8. —
   Igor Krawczuk
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9. —
   Ilia Shumailov

   Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov · 2 episodes

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10. —
    Iman Mirzadeh

    GSMSymbolic paper - Iman Mirzadeh (Apple) · Mar 2025

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11. —
    J. Mark Bishop

    #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it. · Feb 2021

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12. —
    Jack Parker Holder

    DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter) · Aug 2025

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13. —
    Jakob Foerster

    Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning? · Feb 2025

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14. —
    Jan Disselhoff
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15. —
    Jay Alammar

    Jay Alammar on LLMs, RAG, and AI Engineering · Aug 2024

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16. —
    Jeff Beck

    VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 3 episodes

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17. —
    Jeff Clune

    Jeff Clune - Agent AI Needs Darwin · Jan 2025

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18. —
    Jeremy Berman

    New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman · Sep 2025

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19. —
    Jeremy Howard

    "Vibe Coding is a Slot Machine" - Jeremy Howard · Mar 2026

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20. —
    Jim Hughes

    Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford] · May 2023

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21. —
    John Jumper

    He won a Nobel here for AlphaFold. Then he left. - John Jumper · Jun 2026

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22. —
    John Palazza

    John Palazza - Vice President of Global Sales @ CentML ( sponsored) · Mar 2025

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23. —
    Jonas Hübotter

    Jonas Hübotter (ETH) - Test Time Inference · Dec 2024

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24. —
    Jordan Edwards

    Jordan Edwards: ML Engineering and DevOps on AzureML · Jun 2020

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25. —
    Julian Togelius

    #81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED] · Nov 2022

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26. —
    Jurgen Schmidhuber

    Jurgen Schmidhuber on Humans co-existing with AIs · 3 episodes

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27. —
    Kevin Ellis

    How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares) · Apr 2025

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28. —
    Lancelot Da Costa

    MULTI AGENT LEARNING - LANCELOT DA COSTA · Nov 2023

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29. —
    Laura Ruis

    How Do AI Models Actually Think? - Laura Ruis · 2 episodes

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30. —
    Lena Voita

    #039 - Lena Voita - NLP · Jan 2021

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31. —
    Letitia Parcalabescu

    #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED] · Mar 2022

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32. —
    Llion Jones

    He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI] · Nov 2025

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33. —
    Luis Lamb
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34. —
    Luke Darlow
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35. —
    Mahault Albarracin

    Mahault Albarracin - Cognitive Science · Jan 2024

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36. —
    Marc Rigter
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37. —
    Maria Santacaterina

    CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina · May 2024

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38. —
    Mark Saroufim

    #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris) · Mar 2021

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39. —
    Mathew Salvaris
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40. —
    Mathilde Caron

    SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron) · Sep 2020

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