Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
217 Odcinki
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Jurgen Schmidhuber on Humans co-existing with AIs
Opublikowany: 16.01.2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Opublikowany: 15.01.2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Opublikowany: 9.01.2025 -
Jeff Clune - Agent AI Needs Darwin
Opublikowany: 4.01.2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Opublikowany: 7.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Opublikowany: 1.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Opublikowany: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Opublikowany: 17.11.2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Opublikowany: 13.11.2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Opublikowany: 11.11.2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Opublikowany: 6.11.2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Opublikowany: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Opublikowany: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Opublikowany: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Opublikowany: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Opublikowany: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Opublikowany: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Opublikowany: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Opublikowany: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Opublikowany: 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/).
