Machine Learning Street Talk (MLST)
Podcast tekijän mukaan Machine Learning Street Talk (MLST)
217 Jaksot
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Jurgen Schmidhuber on Humans co-existing with AIs
Julkaistiin: 16.1.2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Julkaistiin: 15.1.2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Julkaistiin: 9.1.2025 -
Jeff Clune - Agent AI Needs Darwin
Julkaistiin: 4.1.2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Julkaistiin: 7.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Julkaistiin: 1.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Julkaistiin: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Julkaistiin: 17.11.2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Julkaistiin: 13.11.2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Julkaistiin: 11.11.2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Julkaistiin: 6.11.2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Julkaistiin: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Julkaistiin: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Julkaistiin: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Julkaistiin: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Julkaistiin: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Julkaistiin: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Julkaistiin: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Julkaistiin: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Julkaistiin: 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/).
