Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
241 Episodes
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Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Published: 2/8/2025 -
Nicholas Carlini (Google DeepMind)
Published: 1/25/2025 -
Subbarao Kambhampati - Do o1 models search?
Published: 1/23/2025 -
How Do AI Models Actually Think? - Laura Ruis
Published: 1/20/2025 -
Jurgen Schmidhuber on Humans co-existing with AIs
Published: 1/16/2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Published: 1/15/2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Published: 1/9/2025 -
Jeff Clune - Agent AI Needs Darwin
Published: 1/4/2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Published: 12/7/2024 -
Jonas Hübotter (ETH) - Test Time Inference
Published: 12/1/2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Published: 11/25/2024 -
Nora Belrose - AI Development, Safety, and Meaning
Published: 11/17/2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Published: 11/13/2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Published: 11/11/2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Published: 11/6/2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Published: 11/4/2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Published: 10/24/2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Published: 10/23/2024 -
Dr. Sanjeev Namjoshi - Active Inference
Published: 10/22/2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Published: 10/20/2024
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/).
