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Machine Learning Street Talk (MLST)

Podcasts · Technology

Machine Learning Street Talk (MLST)

219 episodes · 6 with AI analysis

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/).

AI Intelligence · across all analyzed episodes

Topics · top 10

Evolutionary algorithms for AILarge language model ensemblesAutomated scientific discoveryCircle packing optimizationARC AGI challengeSample efficiency in AI systemsOpen-ended optimizationAI scientist automationProgram synthesis and mutationMulti-armed bandit algorithms

Analyzed Episodes

Mar 13, 2026

When AI Discovers The Next Transformer - Robert Lange (Sakana)

Evolutionary algorithms for AILarge language model ensemblesAutomated scientific discovery
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Mar 3, 2026

"Vibe Coding is a Slot Machine" - Jeremy Howard

AI-powered coding limitationsTransfer learning and ULMFit architectureSoftware engineering vs coding distinction
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Jan 23, 2026

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]

Free Energy Principle and neuroscience reductionismBrain metaphors and technological determinism in scienceFallacy of misplaced concreteness in AI and neuroscience
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Jan 23, 2026

Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

Abstraction and Idealization in SciencePhilosophy of NeuroscienceComputational Theory of Mind
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Jan 25, 2026

VAEs Are Energy-Based Models? [Dr. Jeff Beck]

Energy-Based Models and Bayesian InferenceVariational Autoencoders (VAEs)Joint Embedding Prediction Architectures (JEPA)
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Feb 16, 2026

Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas

Artificial Life ExperimentsSymbiogenesis TheoryEmbodied Computation
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