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
| Publishes | Weekly | Episodes | 147 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
Listen to the Podcast
Latest Episodes
Connor is the CEO of Conjecture and one of the most famous names in the AI alignment movement. This is the "behind the scenes footage" and bonus Patreon interviews from the day of the Beff Jezos debate, including an interview with Daniel Clothiaux. I... more
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
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
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
Insights
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Reviews
- 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 Podcasts1Jakob.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 Podcasts3diamond bishop
United States3 months ago - Super informative!
A podcast that has truly changed my life over the past three years. Phenomenal guests, impeccable ideas.
Apple Podcasts5harryoekndnUnited States7 months ago - Neel Nanda episode was fantastic
Adds to a strong catalog.
Apple Podcasts5Usability guyUnited States10 months ago - MLST
A clear labour of love, highly technical and fun, and quite different to many out there.
Apple Podcasts5Mo Alloulah
United Kingdoma year ago
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Chart Rankings
Apple Podcasts | #98 | United States/Technology |
Apple Podcasts | #105 | United Kingdom/Technology |
Apple Podcasts | #75 |  France/Technology |
Apple Podcasts | #114 |  Australia/Technology |
Apple Podcasts | #127 |  Italy/Technology |
Apple Podcasts | #188 | Germany/Technology |
Audience
Listeners, engagement and demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Engagement Score | |||
|---|---|---|---|---|---|
| Primary Location | Social Media Reach | ||||
Frequently Asked Questions About Machine Learning Street Talk
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Machine Learning Street Talk launched 4 years ago and published 147 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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