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PODCAST

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

technology

All Episodes

02:49:14

#96 Prof. PEDRO DOMINGOS - There are no infinities,...

Machine Learning Street Talk (MLST) ·

2022/12/30

Pedro Domingos, Professor Emeritus of Computer Science and Engineering at the University of Washington, is renowned for his research in machine learning, particularly for his work on Markov logic networks that allow for uncertain inference. He is also the author of the acclaimed book "The Master Algorithm". Panel: Dr. Tim Scarfe TOC: [00:00:00] Introduction [00:01:34] Galaxtica / misinformation / gatekeeping [00:12:31] Is there a master algorithm? [00:16:29] Limits of our understanding [00:21:57]

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00:39:12

#95 - Prof. IRINA RISH - AGI, Complex Systems,...

Machine Learning Street Talk (MLST) ·

2022/12/26

Canadian Excellence Research Chair in Autonomous AI. Irina holds an MSc and PhD in AI from the University of California, Irvine as well as an MSc in Applied Mathematics from the Moscow Gubkin Institute. Her research focuses on machine learning, neural data analysis, and neuroscience-inspired AI. In particular, she is exploring continual lifelong learning, optimization algorithms for deep neural networks, sparse modelling and probabilistic inference, dialog generation, biologically plausible

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00:13:34

#94 - ALAN CHAN - AI Alignment and Governance #NEURIPS

Machine Learning Street Talk (MLST) ·

2022/12/26

Support us! https://www.patreon.com/mlst Alan Chan is a PhD student at Mila, the Montreal Institute for Learning Algorithms, supervised by Nicolas Le Roux. Before joining Mila, Alan was a Masters student at the Alberta Machine Intelligence Institute and the University of Alberta, where he worked with Martha White. Alan's expertise and research interests encompass value alignment and AI governance. He is currently exploring the measurement of harms from language models and the incentives that agents

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01:20:14

#93 Prof. MURRAY SHANAHAN - Consciousness,...

Machine Learning Street Talk (MLST) ·

2022/12/24

Support us! https://www.patreon.com/mlst Professor Murray Shanahan is a renowned researcher on sophisticated cognition and its implications for artificial intelligence. His 2016 article ‘Conscious Exotica’ explores the Space of Possible Minds, a concept first proposed by philosopher Aaron Sloman in 1984, which includes all the different forms of minds from those of other animals to those of artificial intelligence. Shanahan rejects the idea of an impenetrable realm of subjective experience and

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00:51:31

#92 - SARA HOOKER - Fairness, Interpretability,...

Machine Learning Street Talk (MLST) ·

2022/12/23

Support us! https://www.patreon.com/mlst Sara Hooker is an exceptionally talented and accomplished leader and research scientist in the field of machine learning. She is the founder of Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. She is passionate about creating more points of entry into machine learning research and has dedicated her efforts to understanding how progress in this field can be translated into reliable and accessible machine learning

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00:21:14

#91 - HATTIE ZHOU - Teaching Algorithmic Reasoning...

Machine Learning Street Talk (MLST) ·

2022/12/20

Support us! https://www.patreon.com/mlst Hattie Zhou, a PhD student at Université de Montréal and Mila, has set out to understand and explain the performance of modern neural networks, believing it a key factor in building better, more trusted models. Having previously worked as a data scientist at Uber, a private equity analyst at Radar Capital, and an economic consultant at Cornerstone Research, she has recently released a paper in collaboration with the Google Brain team, titled ‘Teaching

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00:53:47

(Music Removed) #90 - Prof. DAVID CHALMERS -...

Machine Learning Street Talk (MLST) ·

2022/12/19

Support us! https://www.patreon.com/mlst (On the main version we released; the music was a tiny bit too loud in places, and some pieces had percussion which was a bit distracting -- here is a version with all music removed so you have the option! ) David Chalmers is a professor of philosophy and neural science at New York University, and an honorary professor of philosophy at the Australian National University. He is the co-director of the Center for Mind, Brain, and Consciousness, as well as the

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00:53:47

#90 - Prof. DAVID CHALMERS - Consciousness in LLMs...

Machine Learning Street Talk (MLST) ·

2022/12/19

Support us! https://www.patreon.com/mlst David Chalmers is a professor of philosophy and neural science at New York University, and an honorary professor of philosophy at the Australian National University. He is the co-director of the Center for Mind, Brain, and Consciousness, as well as the PhilPapers Foundation. His research focuses on the philosophy of mind, especially consciousness, and its connection to fields such as cognitive science, physics, and technology. He also investigates areas such

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01:21:59

#88 Dr. WALID SABA - Why machines will never rule the...

Machine Learning Street Talk (MLST) ·

2022/12/16

Support us! https://www.patreon.com/mlst Dr. Walid Saba recently reviewed the book Machines Will Never Rule The World, which argues that strong AI is impossible. He acknowledges the complexity of modeling mental processes and language, as well as interactive dialogues, and questions the authors' use of "never." Despite his skepticism, he is impressed with recent developments in large language models, though he questions the extent of their success. We then discussed the successes of cognitive

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00:30:28

#86 - Prof. YANN LECUN and Dr. RANDALL BALESTRIERO -...

Machine Learning Street Talk (MLST) ·

2022/12/11

Yann LeCun is a French computer scientist known for his pioneering work on convolutional neural networks, optical character recognition and computer vision. He is a Silver Professor at New York University and Vice President, Chief AI Scientist at Meta. Along with Yoshua Bengio and Geoffrey Hinton, he was awarded the 2018 Turing Award for their work on deep learning, earning them the nickname of the "Godfathers of Deep Learning". Dr. Randall Balestriero has been researching learnable signal

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00:36:55

#85 Dr. Petar Veličković (Deepmind) - Categories,...

Machine Learning Street Talk (MLST) ·

2022/12/08

Dr. Petar Veličković is a Staff Research Scientist at DeepMind, he has firmly established himself as one of the most significant up and coming researchers in the deep learning space. He invented Graph Attention Networks in 2017 and has been a leading light in the field ever since pioneering research in Graph Neural Networks, Geometric Deep Learning and also Neural Algorithmic reasoning. If you haven’t already, you should check out our video on the Geometric Deep learning blueprint, featuring Petar

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00:27:47

#84 LAURA RUIS - Large language models are not...

Machine Learning Street Talk (MLST) ·

2022/12/06

In this NeurIPSs interview, we speak with Laura Ruis about her research on the ability of language models to interpret language in context. She has designed a simple task to evaluate the performance of widely used state-of-the-art language models and has found that they struggle to make pragmatic inferences (implicatures). Tune in to learn more about her findings and what they mean for the future of conversational AI. Laura

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00:20:36

#83 Dr. ANDREW LAMPINEN (Deepmind) - Natural...

Machine Learning Street Talk (MLST) ·

2022/12/04

First in our unplugged series live from #NeurIPS2022 We discuss natural language understanding, symbol meaning and grounding and Chomsky with Dr. Andrew Lampinen from DeepMind. We recorded a LOT of material from NeurIPS, keep an eye out for the uploads. YT version: https://youtu.be/46A-BcBbMnA References [Paul Cisek] Beyond the computer metaphor: Behaviour as interaction https://philpapers.org/rec/CISBTC Linguistic Competence (Chomsky

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01:15:18

#82 - Dr. JOSCHA BACH - Digital Physics, DL and...

Machine Learning Street Talk (MLST) ·

2022/11/27

AI Helps Ukraine - Charity Conference A charity conference on AI to raise funds for medical and humanitarian aid for Ukraine https://aihelpsukraine.cc/ YT version: https://youtu.be/LgwjcqhkOA4 Support us! https://www.patreon.com/mlst Dr. Joscha Bach (born 1973 in Weimar, Germany) is a German artificial intelligence researcher and cognitive scientist focusing on cognitive architectures, mental representation, emotion, social modelling, and multi-agent

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01:09:46

#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games,...

Machine Learning Street Talk (MLST) ·

2022/11/20

Support us (and please rate on podcast app) https://www.patreon.com/mlst In this show tonight with Prof. Julian Togelius (NYU) and Prof. Ken Stanley we discuss open-endedness, AGI, game AI and reinforcement learning. [Prof Julian Togelius] https://engineering.nyu.edu/faculty/julian-togelius https://twitter.com/togelius [Prof Ken Stanley] https://www.cs.ucf.edu/~kstanley/ https://twitter.com/kenneth0stanley TOC: [00:00:00] Introduction [00:01:07] AI and computer games [00:12:23]

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00:51:50

#80 AIDAN GOMEZ [CEO Cohere] - Language as Software

Machine Learning Street Talk (MLST) ·

2022/11/15

We had a conversation with Aidan Gomez, the CEO of language-based AI platform Cohere. Cohere is a startup which uses artificial intelligence to help users build the next generation of language-based applications. It's headquartered in Toronto. The company has raised $175 million in funding so far. Language may well become a key new substrate for software building, both in its representation and how we build the software. It may democratise software building so that more people can build software,

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02:09:34

#79 Consciousness and the Chinese Room [Special...

Machine Learning Street Talk (MLST) ·

2022/11/08

This video is demonetised on music copyright so we would appreciate support on our Patreon! https://www.patreon.com/mlst We would also appreciate it if you rated us on your podcast platform. YT: https://youtu.be/_KVAzAzO5HU Panel: Dr. Tim Scarfe, Dr. Keith Duggar Guests: Prof. J. Mark Bishop, Francois Chollet, Prof. David Chalmers, Dr. Joscha Bach, Prof. Karl Friston, Alexander Mattick, Sam Roffey The Chinese Room Argument was first proposed by philosopher John Searle in 1980. It is an argument

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03:37:01

MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

Machine Learning Street Talk (MLST) ·

2022/07/08

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB In this special edition episode, we have a conversation with Prof. Noam Chomsky, the father of modern linguistics and the most important intellectual of the 20th century. With a career spanning the better part of a century, we took the chance to ask Prof. Chomsky his thoughts not only on the progress of linguistics and cognitive science but also the deepest enduring mysteries of science and philosophy as a whole - exploring

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01:07:33

#77 - Vitaliy Chiley (Cerebras)

Machine Learning Street Talk (MLST) ·

2022/06/16

Vitaliy Chiley is a Machine Learning Research Engineer at the next-generation computing hardware company Cerebras Systems. We spoke about how DL workloads including sparse workloads can run faster on Cerebras hardware. [00:00:00] Housekeeping [00:01:08] Preamble [00:01:50] Vitaliy Chiley Introduction [00:03:11] Cerebrus architecture [00:08:12] Memory management and FLOP utilisation [00:18:01] Centralised vs decentralised compute architecture [00:21:12] Sparsity [00:23:47] Does Sparse NN imply

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00:57:36

#76 - LUKAS BIEWALD (Weights and Biases CEO)

Machine Learning Street Talk (MLST) ·

2022/06/09

Check out Weights and Biases here! https://wandb.me/MLST Lukas Biewald is an entrepreneur living in San Francisco. He was the founder and CEO of Figure Eight an Internet company that collects training data for machine learning. In 2018, he founded Weights and Biases, a company that creates developer tools for machine learning. Recently WandB got a cash injection of 15 million dollars in its second funding round. Lukas has a bachelors and masters in mathematics and computer science respectively from

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