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 | 271 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Selection hangs on to partial solutions, so mutations only need to be useful about 1% of the time... more
Tsung-Hsien (Shawn) Wen, CTO of PolyAI, tells Tim Scarfe why voice agents are harder than text agents. Voice adds time, and a good conversation depends on adapting to the person on the line, not just on reasoning to the best answer. Shawn describes a... more
Leonardo de Moura created Lean and co-created Z3. ---This episode is sponsored by Parallel.Parallel, where agents find answers: web search, extraction and deep research APIs built for AI agents.Start free with the Parallel MCP server and $5 of credit... more
Weco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fixed. Tim Scarfe asks Weco co-founder Zhengyao Jiang what the reported gains over two years ... more
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Reviews
- Great
This podcast is a gem. It is much more than ml
Apple Podcasts5Tosvarsan
Sweden4 months ago - You let this happen?!
The person who moderated (or failed to) the Wolfram and Yudkowsy conversation wasted both guests and the audience’s time
Apple Podcasts1Leopold P Bloom
United States9 months ago - quantum mechanics
I really enjoy Machine Learning Street Talk, even when I don’t agree with every opinion.
I’m curious what happens when we add quantum mechanics to the discussion.
I’d love to hear your thoughts.
Boaz Kaizman, artist, Cologne
Apple Podcasts5Bzeev
Germany9 months ago - 😎😎
норм подкастик. много свежих инсайтов
Apple Podcasts5Вода Природная
Russia10 months ago - 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 Podcasts2DePrincipatibusGermanya year ago
Listeners Say
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #114 | United States/Technology |
Spotify | #41 |  United Kingdom/Technology |
Apple Podcasts | #84 | United Kingdom/Technology |
Apple Podcasts | #144 |  Canada/Technology |
Apple Podcasts | #96 |  France/Technology |
Apple Podcasts | #103 |  Italy/Technology |
Talking Points
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Audience Metrics
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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?
A rigorous tech and ideas podcast featuring deep dives into AI, cognitive science, neuroscience, and philosophy of mind. Episodes commonly explore safety, governance, abstraction, and the implications of frontier AI, often with industry researchers, philosophers, and seasoned practitioners as guests. The show is known for technical depth, broad intellectual curiosity, and a critical stance toward hype, with occasional critiques about sponsorship and production that shape listener perceptions. Potential listeners who want thoughtful, theory-to-practice discussions on AI and its broader human implications will likely find it compelling, while those seeking lighter or more promotional formats may feel differently.</summary
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?
To see how many followers or subscribers Machine Learning Street Talk has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
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. Training Data
4. No Priors: Artificial Intelligence | Technology | Startups
5. Practical AI
How many episodes of Machine Learning Street Talk are there?
Machine Learning Street Talk launched 6 years ago and published 271 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?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for Machine Learning Street Talk?
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View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
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. Leo de Moura
2. Zhengyao Jiang
3. Frank Hutter
4. Alexander Mattick
5. Ming-Yu Liu
6. Pavan Muddireddy
7. Edward Hughes
8. Daniel Kokotajlo
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.