Machine Learning Street Talk (MLST)
Ein Podcast von Machine Learning Street Talk (MLST)

Kategorien:
217 Folgen
-
David Chalmers - Reality+
Vom: 8.7.2024 -
Ryan Greenblatt - Solving ARC with GPT4o
Vom: 6.7.2024 -
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Vom: 29.6.2024 -
New "50%" ARC result and current winners interviewed
Vom: 18.6.2024 -
Cohere co-founder Nick Frosst on building LLM apps for business
Vom: 16.6.2024 -
What’s the Magic Word? A Control Theory of LLM Prompting.
Vom: 5.6.2024 -
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Vom: 6.5.2024 -
Dr. Thomas Parr - Active Inference Book
Vom: 1.5.2024 -
Connor Leahy - e/acc, AGI and the future.
Vom: 21.4.2024 -
Prof. Chris Bishop's NEW Deep Learning Textbook!
Vom: 10.4.2024 -
Philip Ball - How Life Works
Vom: 7.4.2024 -
Dr. Paul Lessard - Categorical/Structured Deep Learning
Vom: 1.4.2024 -
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Vom: 20.3.2024 -
Prof. Nick Chater - The Language Game (Part 1)
Vom: 1.3.2024 -
Kenneth Stanley created a new social network based on serendipity and divergence
Vom: 28.2.2024 -
Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Vom: 13.2.2024 -
Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos
Vom: 3.2.2024 -
Mahault Albarracin - Cognitive Science
Vom: 14.1.2024 -
$450M AI Startup In 3 Years | Chai AI
Vom: 9.1.2024 -
DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya
Vom: 7.1.2024
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/).