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)

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

Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Sara Hooker is VP of Research at Cohere and leader of Cohere for AI. We discuss her recent paper critiquing the use of compute thresholds, measured in FLOPs (floating point operations), as an AI gover...

18 Jul 20241h 5min

Prof. Murray Shanahan - Machines Don't Think Like Us

Prof. Murray Shanahan - Machines Don't Think Like Us

Murray Shanahan is a professor of Cognitive Robotics at Imperial College London and a senior research scientist at DeepMind. He challenges our assumptions about AI consciousness and urges us to rethin...

14 Jul 20242h 15min

David Chalmers - Reality+

David Chalmers - Reality+

In the coming decades, the technology that enables virtual and augmented reality will improve beyond recognition. Within a century, world-renowned philosopher David J. Chalmers predicts, we will have ...

8 Jul 20241h 17min

Ryan Greenblatt - Solving ARC with GPT4o

Ryan Greenblatt - Solving ARC with GPT4o

Ryan Greenblatt from Redwood Research recently published "Getting 50% on ARC-AGI with GPT-4.0," where he used GPT4o to reach a state-of-the-art accuracy on Francois Chollet's ARC Challenge by generati...

6 Jul 20242h 18min

Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

Aidan Gomez, CEO of Cohere, reveals how they're tackling AI hallucinations and improving reasoning abilities. He also explains why Cohere doesn't use any output from GPT-4 for training their models. ...

29 Jun 20241h

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