Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
217 Avsnitt
-
Ben Goertzel on "Superintelligence"
Publicerades: 2024-10-01 -
Taming Silicon Valley - Prof. Gary Marcus
Publicerades: 2024-09-24 -
Prof. Mark Solms - The Hidden Spring
Publicerades: 2024-09-18 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Publicerades: 2024-09-16 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Publicerades: 2024-09-13 -
Cohere's SVP Technology - Saurabh Baji
Publicerades: 2024-09-12 -
David Hanson's Vision for Sentient Robots
Publicerades: 2024-09-10 -
The Fabric of Knowledge - David Spivak
Publicerades: 2024-09-05 -
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Publicerades: 2024-08-28 -
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Publicerades: 2024-08-25 -
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Publicerades: 2024-08-22 -
Joscha Bach - AGI24 Keynote (Cyberanimism)
Publicerades: 2024-08-21 -
Gary Marcus' keynote at AGI-24
Publicerades: 2024-08-17 -
Is ChatGPT an N-gram model on steroids?
Publicerades: 2024-08-15 -
Jay Alammar on LLMs, RAG, and AI Engineering
Publicerades: 2024-08-11 -
Can AI therapy be more effective than drugs?
Publicerades: 2024-08-08 -
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Publicerades: 2024-07-29 -
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Publicerades: 2024-07-28 -
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Publicerades: 2024-07-18 -
Prof. Murray Shanahan - Machines Don't Think Like Us
Publicerades: 2024-07-14
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/).