Machine Learning Street Talk (MLST)
Un pódcast de Machine Learning Street Talk (MLST)
217 Episodo
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Jurgen Schmidhuber on Humans co-existing with AIs
Publicado: 16/1/2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Publicado: 15/1/2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Publicado: 9/1/2025 -
Jeff Clune - Agent AI Needs Darwin
Publicado: 4/1/2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Publicado: 7/12/2024 -
Jonas Hübotter (ETH) - Test Time Inference
Publicado: 1/12/2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Publicado: 25/11/2024 -
Nora Belrose - AI Development, Safety, and Meaning
Publicado: 17/11/2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Publicado: 13/11/2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Publicado: 11/11/2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Publicado: 6/11/2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Publicado: 4/11/2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Publicado: 24/10/2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Publicado: 23/10/2024 -
Dr. Sanjeev Namjoshi - Active Inference
Publicado: 22/10/2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Publicado: 20/10/2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Publicado: 19/10/2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Publicado: 12/10/2024 -
Bold AI Predictions From Cohere Co-founder
Publicado: 10/10/2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Publicado: 4/10/2024
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/).