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