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 | 243 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Dr. Jeff Beck, mathematician turned computational neuroscientist, joins us for a fascinating deep dive into why the future of AI might look less like ChatGPT and more like your own brain.
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Prolific - Quality data. From ... more
Tim sits down with Max Bennett to explore how our brains evolved over 600 million years—and what that means for understanding both human intelligence and AI.
Max isn't a neuroscientist by training. He's a tech entrepreneur who got curious, started r... more
César Hidalgo has spent years trying to answer a deceptively simple question: What is knowledge, and why is it so hard to move around?
We all have this intuition that knowledge is just... information. Write it down in a book, upload it to GitHub, tr... more
This is a lively, no-holds-barred debate about whether AI can truly be intelligent, conscious, or understand anything at all — and what happens when (or if) machines become smarter than us.
Dr. Mike Israetel is a sports scientist, entrepreneur, and ... more
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Reviews
- Once-excellent podcast
It used to be one of my favourite ML podcasts, with genuinely in-depth discussions and fascinating guests. Over time, though, it became increasingly clear that its primary goal had shifted to revenue generation, and the quality of the interviews declined accordingly. At its worst, entire episodes felt like thinly veiled sponsored ads for overhyped startups. It’s genuinely disappointing to watch such a once-excellent podcast lose its way.
Apple Podcasts2DePrincipatibus
Germany2 months ago - The Host is pretty biased / episodes that are just not understandable
The host is just against LLMs. Also, he has on some professors and they discuss fully specific PhD stuff, and it’s just not listenable
Apple Podcasts3Awsedrftgyhujikolm
United States3 months ago Host talks too much, cuts off guests and talks about all his Twitter posts and books ad nausea.
Podcast Addict25 months agoLockeEarly episodes are a great listen. Last year it felt more like each episode was sponsored.
Podcast Addict25 months agokretyn- 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.
Apple Podcasts2RandomUserOfYourAppUnited Statesa year ago
Listeners Say
Key themes from listener reviews, highlighting what works and what could be improved about the show.
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #123 | United States/Technology |
Apple Podcasts | #95 |  United Kingdom/Technology |
Apple Podcasts | #89 |  Australia/Technology |
Apple Podcasts | #201 | Germany/Technology |
Apple Podcasts | #234 |  France/Technology |
Apple Podcasts | #58 |  South Korea/Technology |
Talking Points
Recent interactions between the hosts and their guests.
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Frequently Asked Questions About Machine Learning Street Talk
What is Machine Learning Street Talk about and what kind of topics does it cover?
Engaging in deep and thought-provoking discussions, this experience often features pre-eminent figures in the fields of AI, cognitive science, neuroscience, and philosophy of mind. The conversations are marked by a critical take on current affairs and emerging trends in artificial intelligence, steering clear of hype and focusing instead on intellectual rigor and diversity of thought. Listeners can expect innovative ideas and analyses, often reflecting on the implications of technology and the intricate relationship between human and machine cognition, making it a unique resource for anyone interested in these evolving disciplines.
Where can I find podcast stats for Machine Learning Street Talk?
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How many listeners does Machine Learning Street Talk get?
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What are the audience demographics for Machine Learning Street Talk?
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How many subscribers and views does Machine Learning Street Talk have?
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Which podcasts are similar to Machine Learning Street Talk?
These podcasts share a similar audience with Machine Learning Street Talk:
1. Latent Space: The AI Engineer Podcast
2. Dwarkesh Podcast
3. No Priors: Artificial Intelligence | Technology | Startups
4. Google DeepMind: The Podcast
5. Practical AI
How many episodes of Machine Learning Street Talk are there?
Machine Learning Street Talk launched 6 years ago and published 243 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Machine Learning Street Talk?
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Where can I see ratings and reviews for Machine Learning Street Talk?
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How do I access podcast episode transcripts for Machine Learning Street Talk?
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What guests have appeared on Machine Learning Street Talk?
Recent guests on Machine Learning Street Talk include:
1. Max Bennett
2. Chris Kempes
3. Sara Saab
4. Enzo Blindow
5. Andrew Gordon Wilson
6. Karl Friston
7. Michael Timothy Bennett
8. Dan Hendrycks
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.