Machine Learning Street Talk (MLST)

56
Technology #169

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/).

Recent Episodes
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Recent Reviews
  • RandomUserOfYourApp
    Was great
    I used to love this but it’s starting to come off as a platform for product promotion webinars. I don’t know what’s in it for the creator but it has lost my trust. I’ll still check with interest for good content and of course there are always things to learn amongst the marketing bullets but I miss the earlier days here.
  • diamond bishop
    Clear expert sharing with others
    Worth listening to and learning. My only note is the Connor episodes can be skipped.
  • harryoekndn
    Super informative!
    A podcast that has truly changed my life over the past three years. Phenomenal guests, impeccable ideas.
  • Usability guy
    Neel Nanda episode was fantastic
    Adds to a strong catalog.
  • Rainbow Stalin
    Please don’t use music while talking
    Please don’t use music while people are talking. I just listened to the new episode with David Chalmers, but it was very difficult due to the music.
  • Todd Morrill
    The real deal
    I love these guys. They’re the real deal. They dig into tough topics with A-list guests. And as someone who builds deep learning models and has seen them come up short enough times, I absolutely appreciate all the time devoted to discussions of formal reasoning and symbolic systems.
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