Machine Learning Street Talk (MLST)

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/).

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Episoder(252)

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

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

What if everything we think we know about the brain is just a really good metaphor that we forgot was a metaphor?This episode takes you on a journey through the history of scientific simplification, f...

23 Jan 42min

Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]

Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]

Dr. Jeff Beck, mathematician turned computational neuroscientist, joins us for a fascinating deep dive into why the future of AI might look less like ChatGPT and more like your own brain.**SPONSOR MES...

31 Des 20251h 16min

Your Brain is Running a Simulation Right Now [Max Bennett]

Your Brain is Running a Simulation Right Now [Max Bennett]

Tim sits down with Max Bennett to explore how our brains evolved over 600 million years—and what that means for understanding both human intelligence and AI.Max isn't a neuroscientist by training. He'...

30 Des 20253h 17min

The 3 Laws of Knowledge [César Hidalgo]

The 3 Laws of Knowledge [César Hidalgo]

César Hidalgo has spent years trying to answer a deceptively simple question: What is knowledge, and why is it so hard to move around?We all have this intuition that knowledge is just... information. ...

27 Des 20251h 37min

 "I Desperately Want To Live In The Matrix" - Dr. Mike Israetel

"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel

This is a lively, no-holds-barred debate about whether AI can truly be intelligent, conscious, or understand anything at all — and what happens when (or if) machines become smarter than us.Dr. Mike Is...

24 Des 20252h 55min

Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)

Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)

We often think of Large Language Models (LLMs) as all-knowing, but as the team reveals, they still struggle with the logic of a second-grader. Why can’t ChatGPT reliably add large numbers? Why does it...

22 Des 202543min

Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)

Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)

Is a car that wins a Formula 1 race the best choice for your morning commute? Probably not. In this sponsored deep dive with Prolific, we explore why the same logic applies to Artificial Intelligence....

20 Des 202516min

The Mathematical Foundations of Intelligence [Professor Yi Ma]

The Mathematical Foundations of Intelligence [Professor Yi Ma]

What if everything we think we know about AI understanding is wrong? Is compression the key to intelligence? Or is there something more—a leap from memorization to true abstraction? In this fascinatin...

13 Des 20251h 39min

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