Machine Learning Street Talk (MLST)
En podkast av Machine Learning Street Talk (MLST)
Kategorier:
217 Episoder
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Ben Goertzel on "Superintelligence"
Publisert: 1.10.2024 -
Taming Silicon Valley - Prof. Gary Marcus
Publisert: 24.9.2024 -
Prof. Mark Solms - The Hidden Spring
Publisert: 18.9.2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Publisert: 16.9.2024 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Publisert: 13.9.2024 -
Cohere's SVP Technology - Saurabh Baji
Publisert: 12.9.2024 -
David Hanson's Vision for Sentient Robots
Publisert: 10.9.2024 -
The Fabric of Knowledge - David Spivak
Publisert: 5.9.2024 -
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Publisert: 28.8.2024 -
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Publisert: 25.8.2024 -
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Publisert: 22.8.2024 -
Joscha Bach - AGI24 Keynote (Cyberanimism)
Publisert: 21.8.2024 -
Gary Marcus' keynote at AGI-24
Publisert: 17.8.2024 -
Is ChatGPT an N-gram model on steroids?
Publisert: 15.8.2024 -
Jay Alammar on LLMs, RAG, and AI Engineering
Publisert: 11.8.2024 -
Can AI therapy be more effective than drugs?
Publisert: 8.8.2024 -
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Publisert: 29.7.2024 -
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Publisert: 28.7.2024 -
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Publisert: 18.7.2024 -
Prof. Murray Shanahan - Machines Don't Think Like Us
Publisert: 14.7.2024
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/).
