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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

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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01:55:28

#75 - Emergence [Special Edition] with Dr. DANIELE...

Machine Learning Street Talk (MLST) ·

2022/04/29

An emergent behavior or emergent property can appear when a number of simpleentities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties arising in systems as a result of the low-level interactions, these might be interactions between components of the system or the components and their environment. In our epic

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01:05:38

#74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI...

Machine Learning Street Talk (MLST) ·

2022/04/14

Please note that in this interview Dr. Lampinen was expressing his personal opinions and they do not necessarily represent those of DeepMind. Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB YT version: https://youtu.be/yPMtSXXn4OY Dr. Andrew Lampinen is a Senior Research Scientist at DeepMind, and he thinks that symbols are subjective in the relativistic sense. Dr. Lampinen completed his PhD in Cognitive Psychology at Stanford University. His background is in

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00:55:53

#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP...

Machine Learning Street Talk (MLST) ·

2022/04/07

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB YT version: https://youtu.be/RzGaI7vXrkk This week we speak with Yasaman Razeghi and Prof. Sameer Singh from UC Urvine. Yasaman recently published a paper called Impact of Pretraining Term Frequencies on Few-Shot Reasoning where she demonstrated comprehensively that large language models only perform well on reasoning tasks because they memorise the dataset. For the first time she showed the accuracy was linearly correlated

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01:24:48

#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity...

Machine Learning Street Talk (MLST) ·

2022/03/29

YT version: https://youtu.be/DxBZORM9F-8 Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Prof. Ken Stanley argued in his book that our world has become saturated with objectives. The process of setting an objective, attempting to achieve it, and measuring progress along the way has become the primary route to achievement in our culture. He’s not saying that objectives are bad per se, especially if they’re modest, but he thinks that when goals are ambitious then the

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01:02:35

#71 - ZAK JOST (Graph Neural Networks + Geometric DL)...

Machine Learning Street Talk (MLST) ·

2022/03/25

Special discount link for Zak's GNN course - https://bit.ly/3uqmYVq Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB YT version: https://youtu.be/jAGIuobLp60 (there are lots of helper graphics there, recommended if poss) Want to sponsor MLST!? Let us know on Linkedin / Twitter. [00:00:00] Preamble [00:03:12] Geometric deep learning [00:10:04] Message passing [00:20:42] Top down vs bottom up [00:24:59] All NN architectures are different forms of information diffusion

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01:18:30

#70 - LETITIA PARCALABESCU - Symbolics, Linguistics...

Machine Learning Street Talk (MLST) ·

2022/03/19

Today we are having a discussion with Letitia Parcalabescu from the AI Coffee Break youtube channel! We discuss linguistics, symbolic AI and our respective Youtube channels. Make sure you subscribe to her channel! In the first 15 minutes Tim dissects the recent article from Gary Marcus "Deep learning has hit a wall". Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB YT: https://youtu.be/p2D2duT-R2E [00:00:00] Comments on Gary Marcus Article / Symbolic AI [00:14:57]

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00:50:38

#69 DR. THOMAS LUX - Interpolation of Sparse...

Machine Learning Street Talk (MLST) ·

2022/03/12

Today we are speaking with Dr. Thomas Lux, a research scientist at Meta in Silicon Valley. In some sense, all of supervised machine learning can be framed through the lens of geometry. All training data exists as points in euclidean space, and we want to predict the value of a function at all those points. Neural networks appear to be the modus operandi these days for many domains of prediction. In that light; we might ask ourselves — what makes neural networks better than classical techniques like

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01:42:14

#68 DR. WALID SABA 2.0 - Natural Language...

Machine Learning Street Talk (MLST) ·

2022/03/07

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud YT version: https://youtu.be/pMtk-iUaEuQ Dr. Walid Saba is an old-school polymath. He has a background in cognitive psychology, linguistics, philosophy, computer science and logic and he’s is now a Senior Scientist at Sorcero. Walid is perhaps the most outspoken critic of BERTOLOGY, which is to say trying to solve the problem of natural language understanding with application of large statistical language models. Walid

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01:42:10

#67 Prof. KARL FRISTON 2.0

Machine Learning Street Talk (MLST) ·

2022/03/02

We engage in a bit of epistemic foraging with Prof. Karl Friston! In this show; we discuss the free energy principle in detail, also emergence, cognition, consciousness and Karl's burden of knowledge! YT: https://youtu.be/xKQ-F2-o8uM Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud [00:00:00] Introduction to FEP/Friston [00:06:53] Cheers to Epistemic Foraging! [00:09:17] The Burden of Knowledge Across Disciplines [00:12:55] On-show introduction to Friston [00:14:23]

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