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)

Subbarao Kambhampati - Do o1 models search?

Subbarao Kambhampati - Do o1 models search?

Join Prof. Subbarao Kambhampati and host Tim Scarfe for a deep dive into OpenAI's O1 model and the future of AI reasoning systems. * How O1 likely uses reinforcement learning similar to AlphaGo, wit...

23 Jan 20251h 32min

How Do AI Models Actually Think? - Laura Ruis

How Do AI Models Actually Think? - Laura Ruis

Laura Ruis, a PhD student at University College London and researcher at Cohere, explains her groundbreaking research into how large language models (LLMs) perform reasoning tasks, the fundamental mec...

20 Jan 20251h 18min

Jurgen Schmidhuber on Humans co-existing with AIs

Jurgen Schmidhuber on Humans co-existing with AIs

Jürgen Schmidhuber, the father of generative AI, challenges current AI narratives, revealing that early deep learning work is in his opinion misattributed, where it actually originated in Ukraine and ...

16 Jan 20251h 12min

Yoshua Bengio - Designing out Agency for Safe AI

Yoshua Bengio - Designing out Agency for Safe AI

Professor Yoshua Bengio is a pioneer in deep learning and Turing Award winner. Bengio talks about AI safety, why goal-seeking “agentic” AIs might be dangerous, and his vision for building powerful AI ...

15 Jan 20251h 41min

Francois Chollet - ARC reflections - NeurIPS 2024

Francois Chollet - ARC reflections - NeurIPS 2024

François Chollet discusses the outcomes of the ARC-AGI (Abstraction and Reasoning Corpus) Prize competition in 2024, where accuracy rose from 33% to 55.5% on a private evaluation set. SPONSOR MESSAGE...

9 Jan 20251h 26min

Jeff Clune - Agent AI Needs Darwin

Jeff Clune - Agent AI Needs Darwin

AI professor Jeff Clune ruminates on open-ended evolutionary algorithms—systems designed to generate novel and interesting outcomes forever. Drawing inspiration from nature’s boundless creativity, Clu...

4 Jan 20252h

Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

Neel Nanda, a senior research scientist at Google DeepMind, leads their mechanistic interpretability team. In this extensive interview, he discusses his work trying to understand how neural networks f...

7 Des 20243h 42min

Jonas Hübotter (ETH) - Test Time Inference

Jonas Hübotter (ETH) - Test Time Inference

Jonas Hübotter, PhD student at ETH Zurich's Institute for Machine Learning, discusses his groundbreaking research on test-time computation and local learning. He demonstrates how smaller models can ou...

1 Des 20241h 45min

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