Machine Learning Street Talk (MLST)
En podcast af Machine Learning Street Talk (MLST)
233 Episoder
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Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Udgivet: 7.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Udgivet: 1.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Udgivet: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Udgivet: 17.11.2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Udgivet: 13.11.2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Udgivet: 11.11.2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Udgivet: 6.11.2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Udgivet: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Udgivet: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Udgivet: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Udgivet: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Udgivet: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Udgivet: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Udgivet: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Udgivet: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Udgivet: 4.10.2024 -
Ben Goertzel on "Superintelligence"
Udgivet: 1.10.2024 -
Taming Silicon Valley - Prof. Gary Marcus
Udgivet: 24.9.2024 -
Prof. Mark Solms - The Hidden Spring
Udgivet: 18.9.2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Udgivet: 16.9.2024
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/).
