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. 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/).
Letzte Episode
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta] (23.01.2026)
Frühere Episoden
- Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
- Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
- Your Brain is Running a Simulation Right Now [Max Bennett]
- The 3 Laws of Knowledge [César Hidalgo]
- "I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
- Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
- Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
- The Mathematical Foundations of Intelligence [Professor Yi Ma]
- Pedro Domingos: Tensor Logic Unifies AI Paradigms
- He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]
- Why Humans Are Still Powering AI [Sponsored]
- The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
- Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
- The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
- AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
- New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
- Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
- Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
- The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
- Michael Timothy Bennett: Defining Intelligence and AGI Approaches
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