Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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Joscha Bach - AGI24 Keynote (Cyberanimism)
Opublikowany: 21.08.2024 -
Gary Marcus' keynote at AGI-24
Opublikowany: 17.08.2024 -
Is ChatGPT an N-gram model on steroids?
Opublikowany: 15.08.2024 -
Jay Alammar on LLMs, RAG, and AI Engineering
Opublikowany: 11.08.2024 -
Can AI therapy be more effective than drugs?
Opublikowany: 8.08.2024 -
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Opublikowany: 29.07.2024 -
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Opublikowany: 28.07.2024 -
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Opublikowany: 18.07.2024 -
Prof. Murray Shanahan - Machines Don't Think Like Us
Opublikowany: 14.07.2024 -
David Chalmers - Reality+
Opublikowany: 8.07.2024 -
Ryan Greenblatt - Solving ARC with GPT4o
Opublikowany: 6.07.2024 -
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Opublikowany: 29.06.2024 -
New "50%" ARC result and current winners interviewed
Opublikowany: 18.06.2024 -
Cohere co-founder Nick Frosst on building LLM apps for business
Opublikowany: 16.06.2024 -
What’s the Magic Word? A Control Theory of LLM Prompting.
Opublikowany: 5.06.2024 -
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Opublikowany: 6.05.2024 -
Dr. Thomas Parr - Active Inference Book
Opublikowany: 1.05.2024 -
Connor Leahy - e/acc, AGI and the future.
Opublikowany: 21.04.2024 -
Prof. Chris Bishop's NEW Deep Learning Textbook!
Opublikowany: 10.04.2024 -
Philip Ball - How Life Works
Opublikowany: 7.04.2024
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/).
