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Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)
Deep Learning
Artificial Intelligence
Machine Learning
Neural Networks
Social Media
AI Ethics
Technology
Societal Progress
Social Institutions
Effective Altruism
IAC Movement
Agency
Divergence
Generative Models
Cognitive Science
Intelligence
Creativity
Free Energy Principle
Ethics In AI
MAVEN

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

PublishesTwice weeklyEpisodes214Founded5 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Machine Learning Street Talk

Latest Episodes

Randall Balestriero joins the show to discuss some counterintuitive findings in AI. He shares research showing that huge language models, even when started from scratch (randomly initialized) without massive pre-training, can learn specific tasks lik... more

Prof. Kevin Ellis and Dr. Zenna Tavares talk about making AI smarter, like humans. They want AI to learn from just a little bit of information by actively trying things out, not just by looking at tons of data.

They discuss two main ways AI can "thi... more

Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software development. Their unique strategy is reinforcement learning from code execution feedback which is an importan... more

Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artificial Superintelligence (ASI) safety and governance. Drawing from their comprehensive analysis in "The ... more

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Recent Guests

Eiso Kant
Co-founder and CTO of Poolside AI
Poolside AI
Episode: Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Mohamed Osman
Co-founder of MindsAI and researcher at Tufa AI Labs
Tufa AI Labs
Episode: Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Max Bartolo
Researcher at Cohere focusing on post-training methodologies and improving AI model robustness.
Cohere
Episode: Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Jakob Foerster
Professor and researcher at the University of Oxford
University of Oxford
Episode: Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Daniel Franzen
ARC Challenge Winner and AI Researcher
Tufa Labs
Episode: Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Jan Disselhoff
ARC Challenge Winner and AI Researcher
Tufa Labs
Episode: Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Randall Balestriero
Professor and AI researcher specializing in neural networks
Brown University
Episode: Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Laura Ruis
PhD student at University College London
University College London
Episode: How Do AI Models Actually Think? - Laura Ruis
Yoshua Bengio
Co-recipient of the Turing Award, prominent AI researcher known for his work on deep learning.
University of Montreal
Episode: Yoshua Bengio - Designing out Agency for Safe AI

Host

Tim Scarfe
Host of AI discussions with deep analysis, engaging pre-eminent figures in the field.

Reviews

4.8 out of 5 stars from 621 ratings
  • 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 Podcasts
    2
    RandomUserOfYourApp
    United States8 months ago
  • A great podcast without much fluff or product placements.

    Podcast Addict
    5
    kretyn
    9 months ago
  • 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 Podcasts
    1
    Adrian1423
    United Kingdoma year ago
  • Clear expert sharing with others

    Worth listening to and learning. My only note is the Connor episodes can be skipped.

    Apple Podcasts
    5
    diamond bishop
    United Statesa year ago
  • Great breadth and depth. This podcast works because of the outstanding host and his illustrious guests.

    Podcast Addict
    5
    zaphod
    a year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some listeners note the podcast has strayed from its original focus, leading to mixed feelings about its current direction.
The intellectual engagement and philosophical inquiries differentiate this podcast from others in the field.
Listeners appreciate the depth and rigor of the discussions, often highlighting the quality of guests and insights shared.
There are concerns that some recent episodes feel more like promotional platforms rather than substantive discussions.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#105
United States/Technology
Apple Podcasts
#101
United Kingdom/Technology
Apple Podcasts
#247
Canada/Technology
Apple Podcasts
#96
Germany/Technology
Apple Podcasts
#151
Australia/Technology
Apple Podcasts
#20
United Arab Emirates/Technology

Talking Points

Recent interactions between the hosts and their guests.

ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Q: Can you tell me about the foundation that you're setting up?
The foundation aims to be a North Star for AGI, producing useful benchmarks that discern capability gaps between humans and AI.
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Q: What were the main lessons you learned from version one that you've moved into version two?
We focused on minimizing tasks that are susceptible to brute force and implemented comprehensive human calibration studies.
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Q: Can we quickly touch on the open AI situation?
They provided access to O3, which got incredible performance on ARC AGI 1, surprising the hosts.
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Q: What's the main goal of Poolside?
The main goal is to build human-level intelligence in AI that can significantly enhance software development.
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Q: Can you tell us a little bit about yourself and Poolside?
Eiso shares his background in programming and how he co-founded Poolside AI, focusing on making AI capable of writing code.

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 in thought-provoking conversations with leading figures in artificial intelligence and related fields, this show explores a wide array of topics, including cognitive science, neuroscience, and the philosophy of mind. The discussions are marked by an emphasis on rigorous analysis, striving to present insights without the surrounding hype that often accompanies AI discourse. A distinguishing feature of these conversations is the commitment to intellectual diversity, offering various perspectives on the main themes and debates shaping the future of AI. Listeners can expect a mix of technical insights and philosophical inquiries that cater to both industry professionals and those interested in the ethical implications of machine learni... more

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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. No Priors: Artificial Intelligence | Technology | Startups
5. Practical AI

How many episodes of Machine Learning Street Talk are there?

Machine Learning Street Talk launched 5 years ago and published 214 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Machine Learning Street Talk?

Recent guests on Machine Learning Street Talk include:

1. Eiso Kant
2. Mohamed Osman
3. Max Bartolo
4. Jakob Foerster
5. Daniel Franzen
6. Jan Disselhoff
7. Randall Balestriero
8. Laura Ruis

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.

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