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. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Machine Learning Street Talk (MLST)
Claim This Podcastby Machine Learning Street Talk (MLST)
4.8(497 reviews)
257 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇨🇭
79
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality81
Social0
YouTube93
Engagement99
Podcast Overview
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. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Language
🇺🇲
Publishing Since
4/24/2020
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
79
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality81
Social0
YouTube93
Engagement99
9
Excellent Areas
2
Good Performance
8
Growth Opportunities
excellent
Episode Length
1h 21m
Performing excellently!
good
Publishing Consistency
Every 9 days
Recommendations available
Unlock the full report to see detailed tips
poor
Episode Thumbnails
Recommendations available
Unlock the full report to see detailed tips
+16 More Metrics
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
What's Included in Your Full Report
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
Get your free podcast insights report
See how your show performs across every key metric
Instant delivery
No spam
Attract Better Guests
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Secure Sponsorships
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Grow Your Audience
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
3 verified contact emails on file for Machine Learning Street Talk (MLST)
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 13, 2026
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Alistair Pullen, CEO and co-founder of Cosine AI, discusses building a sovereign AI model with Tim Scarfe, exploring economic bets and trustworthy agents.
July 1, 2026
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
Host Tim Scarfe interviews Tufa Labs founder Benjamin Crouzier and team members Jeroen Cottaar, Dries Smit, Stefano Viel, and Michal Tesnar about their ARC-AGI-3 winning system and what the benchmark truly tests.
June 28, 2026
The First Thermodynamic AI Computing Chip - Thomas Ahle
Host Tim interviews Thomas Ahle, CEO of Normal Computing, about their thermodynamic AI chip and the challenges of verifying AI-generated designs.
257 total episodes available with 122 transcripts
Recent guests on Machine Learning Street Talk (MLST)
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Alistair Pullen
Guest
Benjamin Crouzier
Guest
Jeroen Cottaar
Guest
Dries Smit
Guest
Stefano Viel
Guest
Michal Tesnar
Guest
Thomas Ahle
Guest
John Jumper
Guest
Brad Carson
Guest
Michael I Jordan
Guest
Beth Barnes
Guest
David Rein
Guest
Similar Podcasts
Discover related shows you might enjoy
Dwarkesh Podcast
Dwarkesh Patel
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
No Priors: Artificial Intelligence | Machine Learning | Technology | Startups
Conviction
Training Data
Sequoia Capital
Unsupervised Learning
by Redpoint Ventures
Google DeepMind: The Podcast
Hannah Fry
Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
Practical AI: Machine Learning, Data Science
Daniel Whitenack and Chris Benson
Last Week in AI
Skynet Today
The Pragmatic Engineer Podcast
Gergely Orosz
Signals and Threads
Jane Street
AI + a16z
a16z
a16z Podcast
Andreessen Horowitz
Big Technology Podcast
Alex Kantrowitz
The AI Podcast
NVIDIA
Deep-dive analytics for Machine Learning Street Talk (MLST)
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Machine Learning Street Talk (MLST)?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.