Cover art for podcast Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

78 EpisodesProduced by Machine Learning Street TalkWebsite

Welcome! We at MLST are inspired by scientists and each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is ridiculously technical and we believe strongly in diversity of thought in AI, covering all the main ideas in the field, avoiding hype where possibl… read more

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#77 - Vitaliy Chiley (Cerebras)

June 16th, 2022


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.

#76 - LUKAS BIEWALD (Weights and Biases CEO)

June 9th, 2022


Check out Weights and Biases here!

Lukas Biewald is an entrepreneur living in San Francisco. He was the founder and CEO of …

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

April 29th, 2022


An emergent behavior or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a …

#74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]

April 14th, 2022


Please note that in this interview Dr. Lampinen was expressing his personal opinions and they do not necessarily represent those of DeepMind. 



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

April 7th, 2022




YT version:

This week we speak with Yasaman Razeghi and Prof. Sameer Singh from UC Urvine. Yasaman recently …

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

March 29th, 2022


YT version:



Prof. Ken Stanley argued in his book that our world has become saturated with objectives. The …

#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

March 19th, 2022


Today we are having a discussion with Letitia Parcalabescu from the AI Coffee Break youtube channel! We discuss linguistics, symbolic AI and our …

#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

March 12th, 2022


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 …

#67 Prof. KARL FRISTON 2.0

March 2nd, 2022


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!


#66 ALEXANDER MATTICK - [Unplugged / Community Edition]

February 28th, 2022


We have a chat with Alexander Mattick aka ZickZack from Yannic's Discord community. Alex is one of the leading voices in that community and has an impressive technical depth. Don't forget MLST has now started it's own …

#65 Prof. PEDRO DOMINGOS [Unplugged]

February 26th, 2022


Note: there are no politics discussed in this show and please do not interpret this show as any kind of a political statement from us.  We have …

#64 Prof. Gary Marcus 3.0

February 24th, 2022





We have a chat with Prof. Gary Marcus about everything which is currently top of mind for him, …

#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

February 22nd, 2022


We are now sponsored by Weights and Biases! Please visit our sponsor link:


For Yoshua Bengio, GFlowNets are the most exciting thing on the horizon of Machine …

#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

February 3rd, 2022


Dr. Guy Emerson is a computational linguist and obtained his Ph.D from Cambridge university where he is now a research fellow and lecturer. On panel we also have myself, Dr. Tim Scarfe, as well as Dr. Keith Duggar and …

#60 Geometric Deep Learning Blueprint (Special Edition)

September 19th, 2021



The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by …

#59 - Jeff Hawkins (Thousand Brains Theory)

September 3rd, 2021



The ultimate goal of neuroscience is to learn how the human brain gives rise to human intelligence and what it …

#58 Dr. Ben Goertzel - Artificial General Intelligence

August 11th, 2021


The field of Artificial Intelligence was founded in the mid 1950s with the aim of constructing “thinking machines” - that is to say, computer systems with human-like general intelligence. Think of humanoid robots that …

#57 - Prof. Melanie Mitchell - Why AI is harder than we think

July 25th, 2021


Since its beginning in the 1950s, the field of artificial intelligence has vacillated between periods of optimistic predictions and massive investment and periods of disappointment, loss of confidence, and reduced …

#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

July 8th, 2021


It has been over three decades since the statistical revolution overtook AI by a storm and over two  decades since deep learning (DL) helped usher …

#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

June 21st, 2021


Dr. Ishan Misra is a Research Scientist at Facebook AI Research where he works on Computer Vision and Machine Learning. His main research interest is reducing the need for human supervision, and indeed, human knowledge …

#54 Gary Marcus and Luis Lamb - Neurosymbolic models

June 4th, 2021


Professor Gary Marcus is a scientist, best-selling author, and entrepreneur. He is Founder and CEO of Robust.AI, and was Founder and CEO of Geometric Intelligence, a machine learning company acquired by Uber in 2016. …

#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

May 19th, 2021


Bob Coercke is a celebrated physicist, he's been a Physics and Quantum professor at Oxford University for the last 20 years. He is particularly …

#52 - Unadversarial Examples (Hadi Salman, MIT)

May 1st, 2021


Performing reliably on unseen or shifting data distributions is a difficult challenge for modern vision systems, even slight corruptions or …

#51 Francois Chollet - Intelligence and Generalisation

April 16th, 2021


In today's show we are joined by Francois Chollet, I have been inspired by Francois ever since I read his Deep Learning with Python book and started …

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

April 4th, 2021


Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first object detection algorithms, the inceptionnet architecture, and co-invented batchnorm. He …

#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

March 23rd, 2021


The race is on, we are on a collective mission to understand and create artificial general intelligence. Dr. Tom Zahavy, a Research Scientist at …

#48 Machine Learning Security - Andy Smith

March 16th, 2021


First episode in a series we are doing on ML DevOps. Starting with the thing which nobody seems to be talking about enough, security! We chat with cyber security expert Andy Smith about threat modelling and trust …

047 Interpretable Machine Learning - Christoph Molnar

March 14th, 2021


Christoph Molnar is one of the main people to know in the space of interpretable ML. In 2018 he released the first version of his incredible online …

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

March 6th, 2021


Academics think of themselves as trailblazers, explorers — seekers of the truth.

Any fundamental discovery involves a significant degree of risk. If …

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)

February 28th, 2021


Microsoft has an interesting strategy with their new “autonomous systems” technology also known as Project Bonsai. They want to create an interface …

#044 - Data-efficient Image Transformers (Hugo Touvron)

February 25th, 2021


Today we are going to talk about the *Data-efficient image Transformers paper or (DeiT) which Hugo is the primary author of. One of the recipes of …

#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

February 19th, 2021


Professor Mark Bishop does not think that computers can be conscious or have phenomenological states of consciousness unless we are willing to accept …

#042 - Pedro Domingos - Ethics and Cancel Culture

February 11th, 2021


Today we have professor Pedro Domingos and we are going to talk about activism in machine learning, cancel culture, AI ethics and kernels. In Pedro's …

#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

February 3rd, 2021


Dr. Simon Stringer. Obtained his Ph.D in mathematical state space control theory and has been a Senior Research Fellow at Oxford University for over …

#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

January 31st, 2021


Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. there's good reason to believe neural networks look at very different …

#039 - Lena Voita - NLP

January 23rd, 2021


ena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously, She was a research scientist at Yandex Research and worked closely with the Yandex Translate team. She still teaches …

#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

January 20th, 2021


Professor Kenneth Stanley is currently a research science manager at OpenAI in San Fransisco. We've Been dreaming about getting Kenneth on the show since the very begininning of Machine Learning Street Talk. Some of you …

#037 - Tour De Bayesian with Connor Tann

January 11th, 2021


Connor Tan is a physicist and senior data scientist working for a multinational energy company where he co-founded and leads a data science team. He …

#036 - Max Welling: Quantum, Manifolds & Symmetries in ML

January 3rd, 2021


Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technologies Netherlands B.V. 

Max is a strong believer …

#035 Christmas Community Edition!

December 27th, 2020


Welcome to the Christmas special community edition of MLST! We discuss some recent and interesting papers from Pedro Domingos (are NNs kernel …

#034 Eray Özkural- AGI, Simulations & Safety

December 20th, 2020


Dr. Eray Ozkural is an AGI researcher from Turkey, he is the founder of Celestial Intellect Cybernetics. Eray is extremely critical of Max Tegmark, Nick Bostrom and MIRI founder Elizier Yodokovsky and their views on AI …

#033 Prof. Karl Friston - The Free Energy Principle

December 13th, 2020


This week Dr. Tim Scarfe, Dr. Keith Duggar and Connor Leahy chat with Prof. Karl Friston. Professor Friston is a British neuroscientist at University …

#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

December 6th, 2020


This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to …

#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

November 28th, 2020


In this special edition, Dr. Tim Scarfe, Yannic Kilcher and Keith Duggar speak with Gary Marcus and Connor Leahy about GPT-3. We have all had a significant amount of time to experiment with GPT-3 and show you demos of …

#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

November 20th, 2020


This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic Kilcher discuss multi-arm bandits and pure exploration with Dr. Wouter M. Koolen, Senior …

#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

November 8th, 2020


This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic Kilcher and Connor Leahy cover a broad range of topics, ranging from academia, GPT-3 and whether …

NLP is not NLU and GPT-3 - Walid Saba

November 4th, 2020



This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic Kilcher speak with veteran NLU expert Dr. Walid Saba. 

Walid is an old-school …

AI Alignment & AGI Fire Alarm - Connor Leahy

November 1st, 2020


This week Dr. Tim Scarfe, Alex Stenlake and Yannic Kilcher speak with AGI and AI alignment specialist Connor Leahy a machine learning engineer from Aleph Alpha and founder of EleutherAI.

Connor believes that AI …

Kaggle, ML Community / Engineering (Sanyam Bhutani)

October 28th, 2020


Join Dr Tim Scarfe, Sayak Paul, Yannic Kilcher, and Alex Stenlake have a conversation with Mr. Chai Time Data Science; Sanyam Bhutani!

00:00:00 …

Sara Hooker - The Hardware Lottery, Sparsity and Fairness

October 20th, 2020


Dr. Tim Scarfe, Yannic Kilcher and Sayak Paul chat with Sara Hooker from the Google Brain team! We discuss her recent hardware lottery paper, pruning …

The Social Dilemma Part 3 - Dr. Rebecca Roache

October 11th, 2020


This week join Dr. Tim Scarfe, Yannic Kilcher, and Keith Duggar have a conversation with Dr. Rebecca Roache in the last of our 3-part series on the social dilemma Netflix film. Rebecca is a senior lecturer in philosophy …

The Social Dilemma - Part 2

October 6th, 2020


This week on Machine Learning Street Talk, Dr. Tim Scarfe, Dr. Keith Duggar, Alex Stenlake and Yannic Kilcher have a conversation with the founder and principal researcher at the Montreal AI Ethics institute -- Abhishek …

The Social Dilemma - Part 1

October 3rd, 2020


In this first part of our three part series on the Social Dilemma Netflix film, Dr. Tim Scarfe, Yannic "Lightspeed" Kilcher and Zak Jost gang up with Cybersecurity expert Andy Smith. We give you our take on the film. We …

Capsule Networks and Education Targets

September 29th, 2020


In today's episode, Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe chat about the education chapter in Kenneth Stanley's "Greatness cannot be planned" book, and we relate it to our Algoshambes conversation a few …

Programming Languages, Software Engineering and Machine Learning

September 25th, 2020


This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic "Lightspeed" Kilcher have a conversation with Microsoft Senior Software Engineer Sachin Kundu. We speak about programming languages including which our favourites are …

Computation, Bayesian Model Selection, Interactive Articles

September 22nd, 2020


This week Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe discuss the theory of computation, intelligence, Bayesian model selection, the intelligence explosion and the the phenomenon of "interactive articles". 


September 18th, 2020


Today Yannic Lightspeed Kilcher and I spoke with Alex Stenlake about Kernel Methods. What is a kernel? Do you remember those weird kernel things which everyone obsessed about before deep learning? What about Representer …

Explainability, Reasoning, Priors and GPT-3

September 16th, 2020


This week Dr. Tim Scarfe and Dr. Keith Duggar discuss Explainability, Reasoning, Priors and GPT-3. We check out Christoph Molnar's book on …

SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

September 14th, 2020


This week Dr. Tim Scarfe, Yannic Lightspeed Kicher, Sayak Paul and Ayush Takur interview Mathilde Caron from Facebook Research (FAIR).

We discuss …

UK Algoshambles, Neuralink, GPT-3 and Intelligence

September 7th, 2020


This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic "Lightspeed" Kilcher respond to the "Algoshambles" exam fiasco in the UK where the government were forced to step in to standardise the grades which were grossly …

Sayak Paul

July 17th, 2020


This week we spoke with Sayak Paul, who is extremely active in the machine learning community. We discussed the AI landscape in India, unsupervised …

Robert Lange on NN Pruning and Collective Intelligence

July 8th, 2020


We speak with Robert Lange!

Robert is a PhD student at the Technical University Berlin. His research combines Deep Multi-Agent Reinforcement Learning …

WelcomeAIOverlords (Zak Jost)

June 30th, 2020


We welcome Zak Jost from the WelcomeAIOverlords channel. Zak is an ML research scientist at Amazon. He has a great blog at and also a Discord channel at

Facebook Research - Unsupervised Translation of Programming Languages

June 24th, 2020


In this episode of Machine Learning Street Talk Dr. Tim Scarfe, Yannic Kilcher and Connor Shorten spoke with Marie-Anne Lachaux, Baptiste Roziere and Dr. Guillaume Lample from Facebook Research (FAIR) in Paris. They …

Francois Chollet - On the Measure of Intelligence

June 19th, 2020


We cover Francois Chollet's recent paper.

Abstract; To make deliberate progress towards more intelligent and more human-like artificial systems, we …

OpenAI GPT-3: Language Models are Few-Shot Learners

June 6th, 2020


In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten discuss their takeaways from OpenAI’s GPT-3 language model. With the help of Microsoft’s ZeRO-2 / DeepSpeed optimiser, …

Jordan Edwards: ML Engineering and DevOps on AzureML

June 3rd, 2020


This week we had a super insightful conversation with  Jordan Edwards, Principal Program Manager for the AzureML team!  Jordan is on the coalface of …

One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

June 2nd, 2020


*Note this is an episode from Tim's Machine Learning Dojo YouTube channel. 

Join Eric Craeymeersch on a wonderful discussion all about ML …

Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

May 25th, 2020


In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten interviewed Harri Valpola, CEO and Founder of Curious …

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

May 22nd, 2020


In this episode of Machine Learning Street Talk, Tim Scarfe, Connor Shorten and Yannic Kilcher react to Yoshua Bengio’s ICLR 2020 Keynote “Deep Learning Priors Associated with Conscious Processing”. Bengio takes on many …

ICLR 2020: Yann LeCun and Energy-Based Models

May 19th, 2020


This week Connor Shorten, Yannic Kilcher and Tim Scarfe reacted to Yann LeCun's keynote speech at this year's ICLR conference which just passed. ICLR is the number two ML conference and was completely open this year, …

The Lottery Ticket Hypothesis with Jonathan Frankle

May 19th, 2020


In this episode of Machine Learning Street Talk, we chat with Jonathan Frankle, author of The Lottery Ticket Hypothesis. Frankle has continued researching Sparse Neural Networks, Pruning, and Lottery Tickets leading to …

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

May 19th, 2020


In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten chat about Large-scale Transfer Learning in Natural Language Processing. The Text-to-Text Transfer Transformer (T5) model …

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

May 2nd, 2020


According to Yann Le Cun, the next big thing in machine learning is unsupervised learning. Self-supervision has changed the entire game in the last few years in deep learning, first transforming the language world with …

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