Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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/).

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Episoder(271)

New "50%" ARC result and current winners interviewed

New "50%" ARC result and current winners interviewed

The ARC Challenge, created by Francois Chollet, tests how well AI systems can generalize from a few examples in a grid-based intelligence test. We interview the current winners of the ARC Challenge—Ja...

18 Jun 20242h 14min

Cohere co-founder Nick Frosst on building LLM apps for business

Cohere co-founder Nick Frosst on building LLM apps for business

Nick Frosst, co-founder of Cohere, on the future of LLMs, and AGI. Learn how Cohere is solving real problems for business with their new AI models. This is the first podcast from our new Cohere partn...

16 Jun 202441min

What’s the Magic Word? A Control Theory of LLM Prompting.

What’s the Magic Word? A Control Theory of LLM Prompting.

These two scientists have mapped out the insides or “reachable space” of a language model using control theory, what they discovered was extremely surprising. Please support us on Patreon to get acc...

5 Jun 20241h 17min

CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

Maria Santacaterina, with her background in the humanities, brings a critical perspective on the current state and future implications of AI technology, its impact on society, and the nature of human ...

6 Mai 20242h 31min

Dr. Thomas Parr - Active Inference Book

Dr. Thomas Parr - Active Inference Book

Thomas Parr and his collaborators wrote a book titled "Active Inference: The Free Energy Principle in Mind, Brain and Behavior" which introduces Active Inference from both a high-level conceptual pers...

1 Mai 20241h 37min

Connor Leahy - e/acc, AGI and the future.

Connor Leahy - e/acc, AGI and the future.

Connor is the CEO of Conjecture and one of the most famous names in the AI alignment movement. This is the "behind the scenes footage" and bonus Patreon interviews from the day of the Beff Jezos debat...

21 Apr 20241h 19min

Prof. Chris Bishop's NEW Deep Learning Textbook!

Prof. Chris Bishop's NEW Deep Learning Textbook!

Professor Chris Bishop is a Technical Fellow and Director at Microsoft Research AI4Science, in Cambridge. He is also Honorary Professor of Computer Science at the University of Edinburgh, and a Fellow...

10 Apr 20241h 22min

Philip Ball - How Life Works

Philip Ball - How Life Works

Dr. Philip Ball is a freelance science writer. He just wrote a book called "How Life Works", discussing the how the science of Biology has advanced in the last 20 years. We focus on the concept of Age...

7 Apr 20242h 9min

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