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Machine Learning Street Talk (MLST)

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... more

PublishesWeeklyEpisodes146Founded4 years ago
Number of ListenersCategory
Technology

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Artwork for Machine Learning Street Talk

Latest Episodes

Professor Chris Bishop is a Technical Fellow and Director at Microsoft Research AI4Science, in Cambridge. He is also Honorary Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was ele... more

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8 days ago

Dr. Philip Ball is a freelance science writer. He just wrote a book called "How Life Works", discussing the how the science of Biology has advanced in the last 20 years. We focus on the concept of Agency in particular. more

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11 days ago

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep Learning and Algebraic Theory of Architectures". They aim to make neural networks more interpretable, composable and amenable to formal reasoning. The key is mathematica... more

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17 days ago

Dr. Minqi Jiang and Dr. Marc Rigter explain an innovative new method to make the intelligence of agents more general-purpose by training them to learn many worlds before their usual goal-directed training, which we call "reinforcement learning". Thei... more

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a month ago

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Reviews

4.8 out of 5 stars from 490 ratings
  • The Fall Of MLST

    Oh how the mighty have fallen. It deeply saddens me to say, but MLST went from my weekly go-to to a hard pass. The shift towards sponsored content is painfully obvious, with some episodes feeling more like infomercials. The "interviews” come off as nothing more than a platform for founders to pitch their ventures. If I wanted a non-stop sales pitch, I’d tune in to a shopping network. more

    Apple Podcasts
    1
    Jakob.tungs25
    Germany2 months ago
  • Strong sometimes

    Lots of potential and a great host usually but there are too many episodes (most recent included) where he brings on someone who does not know how to debate for a debate. Great example is that Connor keeps taking air time. It really ruins the quality and feels like a high school debate being recorded as he talks down to people and tries to “establish” hypothetical decision points. Go back to the expert discussions and depth over clickbait and you’ll have a great show.

    Apple Podcasts
    3
    diamond bishop
    United States2 months ago
  • Super informative!

    A podcast that has truly changed my life over the past three years. Phenomenal guests, impeccable ideas.

    Apple Podcasts
    5
    harryoekndn
    United States7 months ago
  • Neel Nanda episode was fantastic

    Adds to a strong catalog.

    Apple Podcasts
    5
    Usability guy
    United States10 months ago
  • MLST

    A clear labour of love, highly technical and fun, and quite different to many out there.

    Apple Podcasts
    5
    Mo Alloulah
    United Kingdoma year ago

Chart Rankings

Apple Podcasts
#144 United States/Technology
Spotify
#26 United Kingdom/Technology
Apple Podcasts
#38 United Kingdom/Technology
Apple Podcasts
#105 Canada/Technology
Spotify
#40 Germany/Technology
Apple Podcasts
#68 Australia/Technology

Audience

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Machine Learning Street Talk launched 4 years ago and published 146 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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