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 | Twice monthly | Episodes | 231 | Founded | 5 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
We sat down with Sara Saab (VP of Product at Prolific) and Enzo Blindow (VP of Data and AI at Prolific) to explore the critical role of human evaluation in AI development and the challenges of aligning AI systems with human values. Prolific is a huma... more
Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agents
Ever wondered what happens when AI agents start talking to each other—or worse, when they start breaking things? Ilia Shumailov spent years at Dee... more
We need AI systems to synthesise new knowledge, not just compress the data they see. Jeremy Berman, is a research scientist at Reflection AI and recent winner of the ARC-AGI v2 public leaderboard.**SPONSOR MESSAGES**—Take the Prolific human data surv... more
Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many parameters ... more
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Reviews
Host talks too much, cuts off guests and talks about all his Twitter posts and books ad nausea.
Podcast Addict22 months agoLockeEarly episodes are a great listen. Last year it felt more like each episode was sponsored.
Podcast Addict22 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 Podcasts2RandomUserOfYourApp
United Statesa year ago A great podcast without much fluff or product placements.
Podcast Addict5a year agokretyn- Generally good but episode with Maria was awful
Maria’s anti-AI denialism was ridiculous. Generally I like to hear people from outside the field. But she stated her position with complete certainty and no reasoned arguments at all and spoke of areas she clearly had no knowledge
. She was arrogant and insulted listeners intelligence. There are dangers in AI but her arguments were paper thin. The arguments that we can write without thinking is ridiculous. Does she know that her subconscious is working hard. Then she said China’s autocracy was ... more
Apple Podcasts1Adrian1423
United Kingdoma year ago
Listeners Say
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #140 | United States/Technology |
Spotify | #47 | United Kingdom/Technology |
Apple Podcasts | #231 | United Kingdom/Technology |
Apple Podcasts | #87 |  Germany/Technology |
Apple Podcasts | #111 |  Italy/Technology |
Apple Podcasts | #207 |  Australia/Technology |
Talking Points
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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?
Focusing on advanced discussions surrounding artificial intelligence, neuroscience, and cognitive science, analytical conversations engage with leading experts in the field. The show aims for a comprehensive exploration of cutting-edge topics, offering a nuanced perspective that often contrasts with mainstream narratives. This podcast stands out for its commitment to intellectual diversity, combining rigorous inquiries into philosophical concepts with applied considerations in technology and AI. Listeners can expect a deep dive into the philosophical implications of AI advancements, ethical considerations, and the exploration of consciousness and intelligence, making it a rich resource for both enthusiasts and professionals in the area.
Where can I find podcast stats for Machine Learning Street Talk?
Rephonic provides a wide range of podcast stats for Machine Learning Street Talk. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Machine Learning Street Talk and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
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. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Dwarkesh Podcast
3. No Priors: Artificial Intelligence | Technology | Startups
4. Practical AI
5. Super Data Science: ML & AI Podcast with Jon Krohn
How many episodes of Machine Learning Street Talk are there?
Machine Learning Street Talk launched 5 years ago and published 231 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. Sara Saab
2. Enzo Blindow
3. Andrew Gordon Wilson
4. Karl Friston
5. Michael Timothy Bennett
6. Dan Hendrycks
7. Akarsh Kumar
8. Eiso Kant
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.