Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
236 Episoade
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Yoshua Bengio - Designing out Agency for Safe AI
Publicat: 15.01.2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Publicat: 09.01.2025 -
Jeff Clune - Agent AI Needs Darwin
Publicat: 04.01.2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Publicat: 07.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Publicat: 01.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Publicat: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Publicat: 17.11.2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Publicat: 13.11.2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Publicat: 11.11.2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Publicat: 06.11.2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Publicat: 04.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Publicat: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Publicat: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Publicat: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Publicat: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Publicat: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Publicat: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Publicat: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Publicat: 04.10.2024 -
Ben Goertzel on "Superintelligence"
Publicat: 01.10.2024
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/).
