Machine Learning Street Talk (MLST)
Ein Podcast von Machine Learning Street Talk (MLST)
239 Folgen
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Subbarao Kambhampati - Do o1 models search?
Vom: 23.1.2025 -
How Do AI Models Actually Think? - Laura Ruis
Vom: 20.1.2025 -
Jurgen Schmidhuber on Humans co-existing with AIs
Vom: 16.1.2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Vom: 15.1.2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Vom: 9.1.2025 -
Jeff Clune - Agent AI Needs Darwin
Vom: 4.1.2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Vom: 7.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Vom: 1.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Vom: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Vom: 17.11.2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Vom: 13.11.2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Vom: 11.11.2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Vom: 6.11.2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Vom: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Vom: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Vom: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Vom: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Vom: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Vom: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Vom: 12.10.2024
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/).
