Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
245 Episoade
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Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
Publicat: 31.07.2025 -
Pushing compute to the limits of physics
Publicat: 21.07.2025 -
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)
Publicat: 06.07.2025 -
The Fractured Entangled Representation Hypothesis (Intro)
Publicat: 05.07.2025 -
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)
Publicat: 24.06.2025 -
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield
Publicat: 17.06.2025 -
"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
Publicat: 26.05.2025 -
Google AlphaEvolve - Discovering new science (exclusive interview)
Publicat: 14.05.2025 -
Prof. Randall Balestriero - LLMs without pretraining and SSL
Publicat: 23.04.2025 -
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Publicat: 08.04.2025 -
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Publicat: 02.04.2025 -
The Compendium - Connor Leahy and Gabriel Alfour
Publicat: 30.03.2025 -
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Publicat: 24.03.2025 -
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Publicat: 22.03.2025 -
GSMSymbolic paper - Iman Mirzadeh (Apple)
Publicat: 19.03.2025 -
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Publicat: 18.03.2025 -
Tau Language: The Software Synthesis Future (sponsored)
Publicat: 12.03.2025 -
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Publicat: 10.03.2025 -
Transformers Need Glasses! - Federico Barbero
Publicat: 08.03.2025 -
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Publicat: 01.03.2025
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/).
