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 | 249 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
Listen to this Podcast
Latest Episodes
Robert Lange, founding researcher at Sakana AI, joins Tim to discuss *Shinka Evolve* — a framework that combines LLMs with evolutionary algorithms to do open-ended program search. The core claim: systems like AlphaEvolve can optimize solutions to fix... more
Dive into the realities of AI-assisted coding, the origins of modern fine-tuning, and the cognitive science behind machine learning with fast.ai founder Jeremy Howard. In this episode, we unpack why AI might be turning software engineering into a slo... more
What if life itself is just a really sophisticated computer program that wrote itself into existence?
Blaise Agüera y Arcas presenting at ALife 2025 — the most technically detailed public walkthrough of the ideas in his *What is Life?* and *What is ... more
What makes something truly *intelligent?* Is a rock an agent? Could a perfect simulation of your brain actually *be* you? In this fascinating conversation, Dr. Jeff Beck takes us on a journey through the philosophical and technical foundations of age... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Recent Guests
Host
Reviews
- 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 States3 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
Germany3 months ago - 😎😎
норм подкастик. много свежих инсайтов
Apple Podcasts5Вода Природная
Russia3 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 Podcasts2DePrincipatibusGermany4 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 Podcasts3AwsedrftgyhujikolmUnited States6 months 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 | #159 | United States/Technology |
Apple Podcasts | #95 |  United Kingdom/Technology |
Apple Podcasts | #225 |  Canada/Technology |
Apple Podcasts | #188 | Germany/Technology |
Apple Podcasts | #215 |  Australia/Technology |
Apple Podcasts | #238 |  France/Technology |
Talking Points
Recent interactions between the hosts and their guests.
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
Frequently Asked Questions About Machine Learning Street Talk
What is Machine Learning Street Talk about and what kind of topics does it cover?
Engaging conversations unfold with pre-eminent figures in artificial intelligence, cognitive science, and philosophy. The discussions emphasize a rigorous examination of contemporary topics, shedding light on current affairs within the AI landscape while stripping away the hype often surrounding these subjects. A strong focus on intellectual diversity leads to the exploration of various ideas, including the philosophical implications of advancements in AI and neuroscience. Over time, episodes have included in-depth analyses that challenge traditional perceptions while inviting a broad array of viewpoints to encourage more profound insights.
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?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Machine Learning Street Talk, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for Machine Learning Street Talk?
Rephonic provides comprehensive predictive audience data for Machine Learning Street Talk, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
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. Latent Space: The AI Engineer Podcast
2. Dwarkesh Podcast
3. No Priors: Artificial Intelligence | Technology | Startups
4. Training Data
5. Practical AI
How many episodes of Machine Learning Street Talk are there?
Machine Learning Street Talk launched 6 years ago and published 249 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?
Rephonic pulls ratings and reviews for Machine Learning Street Talk from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
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?
Rephonic provides full transcripts for episodes of Machine Learning Street Talk. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
What guests have appeared on Machine Learning Street Talk?
Recent guests on Machine Learning Street Talk include:
1. Robert Lange
2. Mazviita Chirimuuta
3. Max Bennett
4. Chris Kempes
5. Sara Saab
6. Enzo Blindow
7. Andrew Gordon Wilson
8. Karl Friston
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.