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 | 273 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Joscha Bach is a cognitive scientist and the founder of the California Institute for Machine Consciousness.
SPONSOR:
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Parallel is a single platform for all your agentic research: web search built for AI agents, with Pareto-optimal quality, cost... more
Kevin Hartnett is the author of *The Proof in the Code*.SPONSOR:---Cyber Fund built the Monastery to help founders ship products that were impossible a year ago. Applications for Batch 1 are now open.Apply now: cyber.fund---In 1998 Thomas Hal... more
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
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Reviews
- Great
This podcast is a gem. It is much more than ml
Apple Podcasts5Tosvarsan
Sweden5 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 States10 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
Germany10 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 | #147 | United States/Technology |
Spotify | #43 |  United Kingdom/Technology |
Apple Podcasts | #115 | United Kingdom/Technology |
Apple Podcasts | #200 |  Canada/Technology |
Apple Podcasts | #153 | Germany/Technology |
Apple Podcasts | #194 |  France/Technology |
Talking Points
Recent interactions between the hosts and their guests.
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?
In-depth conversations with leading researchers, founders, authors, and other specialists explore artificial intelligence alongside mathematics, cognitive science, neuroscience, and philosophy of mind. Discussions move between technical detail and broader questions about intelligence, consciousness, scientific discovery, safety, and AI's effects on society. Recurring host Tim Scarfe guides interviews that often examine how systems work, where current approaches fall short, and what evidence or practical experience supports competing claims. Topics range from formal proof verification and machine learning architectures to artificial life, speech technology, interpretability, and AI forecasting.
The emphasis is on technical substance and int... more
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. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
3. Dwarkesh Podcast
4. Training Data
5. No Priors: Artificial Intelligence | Technology | Startups
How many episodes of Machine Learning Street Talk are there?
Machine Learning Street Talk launched 7 years ago and published 273 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. Joscha Bach
2. Paul Lessard
3. Kevin Hartnett
4. Kevin Buzzard
5. Leonardo de Moura
6. Jeremy Avigad
7. Akarsh Kumar
8. Leo de Moura
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.