Machine Learning Street Talk (MLST)
Un pódcast de Machine Learning Street Talk (MLST)
Categorías:
208 Episodo
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"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Publicado: 25/8/2024 -
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Publicado: 22/8/2024 -
Joscha Bach - AGI24 Keynote (Cyberanimism)
Publicado: 21/8/2024 -
Gary Marcus' keynote at AGI-24
Publicado: 17/8/2024 -
Is ChatGPT an N-gram model on steroids?
Publicado: 15/8/2024 -
Jay Alammar on LLMs, RAG, and AI Engineering
Publicado: 11/8/2024 -
Can AI therapy be more effective than drugs?
Publicado: 8/8/2024 -
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Publicado: 29/7/2024 -
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Publicado: 28/7/2024 -
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Publicado: 18/7/2024 -
Prof. Murray Shanahan - Machines Don't Think Like Us
Publicado: 14/7/2024 -
David Chalmers - Reality+
Publicado: 8/7/2024 -
Ryan Greenblatt - Solving ARC with GPT4o
Publicado: 6/7/2024 -
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Publicado: 29/6/2024 -
New "50%" ARC result and current winners interviewed
Publicado: 18/6/2024 -
Cohere co-founder Nick Frosst on building LLM apps for business
Publicado: 16/6/2024 -
What’s the Magic Word? A Control Theory of LLM Prompting.
Publicado: 5/6/2024 -
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Publicado: 6/5/2024 -
Dr. Thomas Parr - Active Inference Book
Publicado: 1/5/2024 -
Connor Leahy - e/acc, AGI and the future.
Publicado: 21/4/2024
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/).
