Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
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Kategorier:
205 Avsnitt
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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 -
David Chalmers - Reality+
Publicerades: 2024-07-08 -
Ryan Greenblatt - Solving ARC with GPT4o
Publicerades: 2024-07-06 -
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Publicerades: 2024-06-29 -
New "50%" ARC result and current winners interviewed
Publicerades: 2024-06-18 -
Cohere co-founder Nick Frosst on building LLM apps for business
Publicerades: 2024-06-16 -
What’s the Magic Word? A Control Theory of LLM Prompting.
Publicerades: 2024-06-05 -
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Publicerades: 2024-05-06 -
Dr. Thomas Parr - Active Inference Book
Publicerades: 2024-05-01 -
Connor Leahy - e/acc, AGI and the future.
Publicerades: 2024-04-21 -
Prof. Chris Bishop's NEW Deep Learning Textbook!
Publicerades: 2024-04-10 -
Philip Ball - How Life Works
Publicerades: 2024-04-07 -
Dr. Paul Lessard - Categorical/Structured Deep Learning
Publicerades: 2024-04-01
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/).