

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/).
Episodes


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

Superintelligence Strategy (Dan Hendrycks)
Superintelligence strategy and the future of AI development hinge on balancing competitive geopolitical pressures with existential risk management. Dan Hendrycks, an expert in AI safety and strategy, argues that current benchmarks like MMLU and "Humanities Last Exam" are becoming saturated, necessitating more complex, ...

DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
The podcast features an interview with Shlomi Fruchter and Jack Parker Holder from Google DeepMind, who discuss Genie 3, their latest world model capable of generating interactive environments from text prompts. They contextualize Genie 3 by comparing it to its predecessors, Genie 1 and 2, highlighting the advancements...

Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

Pushing compute to the limits of physics

The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

The Fractured Entangled Representation Hypothesis (Intro)

Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
This podcast explores Chai, a social AI platform, and its unique approach to creating engaging chatbot experiences. It discusses Chai's origins, its focus on user-generated AI, and its success in building a large and loyal user base. The podcast delves into the technical aspects of Chai, including its use of reinforcem...

Google AlphaEvolve - Discovering new science (exclusive interview)

Prof. Randall Balestriero - LLMs without pretraining and SSL

How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
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