Machine Learning Street Talk (MLST)
Un podcast de Machine Learning Street Talk (MLST)
217 Épisodes
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Jurgen Schmidhuber on Humans co-existing with AIs
Publié: 16/01/2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Publié: 15/01/2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Publié: 09/01/2025 -
Jeff Clune - Agent AI Needs Darwin
Publié: 04/01/2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Publié: 07/12/2024 -
Jonas Hübotter (ETH) - Test Time Inference
Publié: 01/12/2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Publié: 25/11/2024 -
Nora Belrose - AI Development, Safety, and Meaning
Publié: 17/11/2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Publié: 13/11/2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Publié: 11/11/2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Publié: 06/11/2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Publié: 04/11/2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Publié: 24/10/2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Publié: 23/10/2024 -
Dr. Sanjeev Namjoshi - Active Inference
Publié: 22/10/2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Publié: 20/10/2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Publié: 19/10/2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Publié: 12/10/2024 -
Bold AI Predictions From Cohere Co-founder
Publié: 10/10/2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Publié: 04/10/2024
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/).