Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
245 Episoade
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Gary Marcus' keynote at AGI-24
Publicat: 17.08.2024 -
Is ChatGPT an N-gram model on steroids?
Publicat: 15.08.2024 -
Jay Alammar on LLMs, RAG, and AI Engineering
Publicat: 11.08.2024 -
Can AI therapy be more effective than drugs?
Publicat: 08.08.2024 -
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Publicat: 29.07.2024 -
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Publicat: 28.07.2024 -
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Publicat: 18.07.2024 -
Prof. Murray Shanahan - Machines Don't Think Like Us
Publicat: 14.07.2024 -
David Chalmers - Reality+
Publicat: 08.07.2024 -
Ryan Greenblatt - Solving ARC with GPT4o
Publicat: 06.07.2024 -
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Publicat: 29.06.2024 -
New "50%" ARC result and current winners interviewed
Publicat: 18.06.2024 -
Cohere co-founder Nick Frosst on building LLM apps for business
Publicat: 16.06.2024 -
What’s the Magic Word? A Control Theory of LLM Prompting.
Publicat: 05.06.2024 -
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Publicat: 06.05.2024 -
Dr. Thomas Parr - Active Inference Book
Publicat: 01.05.2024 -
Connor Leahy - e/acc, AGI and the future.
Publicat: 21.04.2024 -
Prof. Chris Bishop's NEW Deep Learning Textbook!
Publicat: 10.04.2024 -
Philip Ball - How Life Works
Publicat: 07.04.2024 -
Dr. Paul Lessard - Categorical/Structured Deep Learning
Publicat: 01.04.2024
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/).
