Machine Learning Street Talk
Hosted by Tim Scarfe and Keith Duggar
Deep learning theory · Reasoning and intelligence · Formal verification
About
Machine Learning Street Talk is a deeply technical show on AI, cognitive science and philosophy of mind, known for long interviews and a deliberate mix of viewpoints, including skeptics. Guests are hand-picked for technical depth rather than fame.
Who listens: A highly technical audience of engineers and research scientists.
Recent episodes
See all on Apple Podcasts- How a Voice Agent Learns the Rhythm of Conversation - Shawn WenGuest: Shawn Wen
- Who Checks a Proof No Human Can Read? - Leo de MouraGuest: Leo de Moura
- When AI Research Starts Moving Faster Than Human Research - Zhengyao JiangGuest: Zhengyao Jiang
- How Deep Learning Finally Cracked Messy Tables - Frank HutterGuest: Frank Hutter
- Why Scaling Prediction Cannot Create Intelligence - Alexander MattickGuest: Alexander Mattick
What they look for
- Researchers with novel technical work, such as formal methods or new foundation model types
- Technical co-founders and CTOs who can go deep on how their system works
- Scientists with a skeptical or contrarian view on intelligence and scaling
How to pitch
No public pitch process found. The About page covers sponsorship only, asks for direct contact with the host, and says no agents or agencies.
Their websiteFrom Apple Podcasts and the show's RSS feed, checked 2026-10-07. This show has not claimed its profile yet.