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(252)

Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

Andrew Ilyas, a PhD student at MIT who is about to start as a professor at CMU. We discuss Data modeling and understanding how datasets influence model predictions, Adversarial examples in machine lea...

22 Aug 20241h 28min

Joscha Bach - AGI24 Keynote (Cyberanimism)

Joscha Bach - AGI24 Keynote (Cyberanimism)

Dr. Joscha Bach introduces a surprising idea called "cyber animism" in his AGI-24 talk - the notion that nature might be full of self-organizing software agents, similar to the spirits in ancient beli...

21 Aug 202457min

Gary Marcus' keynote at AGI-24

Gary Marcus' keynote at AGI-24

Prof Gary Marcus revisited his keynote from AGI-21, noting that many of the issues he highlighted then are still relevant today despite significant advances in AI. MLST is sponsored by Brave: The Bra...

17 Aug 20241h 12min

Is ChatGPT an N-gram model on steroids?

Is ChatGPT an N-gram model on steroids?

DeepMind Research Scientist / MIT scholar Dr. Timothy Nguyen discusses his recent paper on understanding transformers through n-gram statistics. Nguyen explains his approach to analyzing transformer b...

15 Aug 202432min

Jay Alammar on LLMs, RAG, and AI Engineering

Jay Alammar on LLMs, RAG, and AI Engineering

Jay Alammar, renowned AI educator and researcher at Cohere, discusses the latest developments in large language models (LLMs) and their applications in industry. Jay shares his expertise on retrieval ...

11 Aug 202457min

Can AI therapy be more effective than drugs?

Can AI therapy be more effective than drugs?

Daniel Cahn, co-founder of Slingshot AI, on the potential of AI in therapy. Why is anxiety and depression affecting a large population? To what extent are these real categories? Why is the mental heal...

8 Aug 20242h 14min

Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

Prof. Subbarao Kambhampati argues that while LLMs are impressive and useful tools, especially for creative tasks, they have fundamental limitations in logical reasoning and cannot provide guarantees a...

29 Jul 20241h 42min

Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

How seriously should governments take the threat of existential risk from AI, given the lack of consensus among researchers? On the one hand, existential risks (x-risks) are necessarily somewhat specu...

28 Jul 202449min

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