Machine Learning Street Talk (MLST)
Teknologia

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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The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)

The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)

We sat down with Sara Saab (VP of Product at Prolific) and Enzo Blindow (VP of Data and AI at Prolific) to explore the critical role of human evaluation in AI development and the challenges of alignin...

18 Loka 20251h 19min

AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)

AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)

Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agentsEver wondered what happens when AI agents start talking to each other—or worse, when they start br...

4 Loka 20251h 1min

New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

We need AI systems to synthesise new knowledge, not just compress the data they see. Jeremy Berman, is a research scientist at Reflection AI and recent winner of the ARC-AGI v2 public leaderboard.**SP...

27 Syys 20251h 8min

Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thi...

19 Syys 20252h 3min

Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

In this episode, hosts Tim and Keith finally realize their long-held dream of sitting down with their hero, the brilliant neuroscientist Professor Karl Friston. The conversation is a fascinating and m...

10 Syys 20251h 21min

The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

We are joined by Cristopher Moore, a professor at the Santa Fe Institute with a diverse background in physics, computer science, and machine learning.The conversation begins with Cristopher, who calls...

4 Syys 20251h 34min

Michael Timothy Bennett: Defining Intelligence and AGI Approaches

Michael Timothy Bennett: Defining Intelligence and AGI Approaches

Dr. Michael Timothy Bennett is a computer scientist who's deeply interested in understanding artificial intelligence, consciousness, and what it means to be alive. He's known for his provocative paper...

28 Elo 20251h 5min

Superintelligence Strategy (Dan Hendrycks)

Superintelligence Strategy (Dan Hendrycks)

Deep dive with Dan Hendrycks, a leading AI safety researcher and co-author of the "Superintelligence Strategy" paper with former Google CEO Eric Schmidt and Scale AI CEO Alexandr Wang.*** SPONSOR MESS...

14 Elo 20251h 45min