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/).

Prof. Randall Balestriero - LLMs without pretraining and SSL
Apr 23, 2025 – 00:34:30
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Apr 8, 2025 – 01:16:55
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Apr 2, 2025 – 01:36:28
The Compendium - Connor Leahy and Gabriel Alfour
Mar 30, 2025 – 01:37:10
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Mar 24, 2025 – 00:54:15
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Mar 22, 2025 – 01:03:36
GSMSymbolic paper - Iman Mirzadeh (Apple)
Mar 19, 2025 – 01:11:23
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Mar 18, 2025 – 01:23:11
Tau Language: The Software Synthesis Future (sponsored)
Mar 12, 2025 – 01:41:19
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Mar 10, 2025 – 00:54:50
Transformers Need Glasses! - Federico Barbero
Mar 8, 2025 – 01:00:54
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Mar 1, 2025 – 01:37:54
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Feb 19, 2025 – 00:51:26
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Feb 18, 2025 – 00:53:31
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Feb 12, 2025 – 01:09:04
Sepp Hochreiter - LSTM: The Comeback Story?
Feb 12, 2025 – 01:07:01
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Feb 8, 2025 – 01:18:10
Nicholas Carlini (Google DeepMind)
Jan 25, 2025 – 01:21:15
Subbarao Kambhampati - Do o1 models search?
Jan 23, 2025 – 01:32:13
How Do AI Models Actually Think? - Laura Ruis
Jan 20, 2025 – 01:18:01
Jurgen Schmidhuber on Humans co-existing with AIs
Jan 16, 2025 – 01:12:50
Yoshua Bengio - Designing out Agency for Safe AI
Jan 15, 2025 – 01:41:53
Francois Chollet - ARC reflections - NeurIPS 2024
Jan 9, 2025 – 01:26:46
Jeff Clune - Agent AI Needs Darwin
Jan 4, 2025 – 02:00:13
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Dec 7, 2024 – 03:42:36
Jonas Hübotter (ETH) - Test Time Inference
Dec 1, 2024 – 01:45:56
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Nov 25, 2024 – 01:44:42
Nora Belrose - AI Development, Safety, and Meaning
Nov 17, 2024 – 02:29:50
Why Your GPUs are underutilised for AI - CentML CEO Explains
Nov 13, 2024 – 02:08:40
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Nov 11, 2024 – 04:18:30
Pattern Recognition vs True Intelligence - Francois Chollet
Nov 6, 2024 – 02:42:54
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Nov 4, 2024 – 01:53:11
Michael Levin - Why Intelligence Isn't Limited To Brains.
Oct 24, 2024 – 01:03:35
Speechmatics CTO - Next-Generation Speech Recognition
Oct 23, 2024 – 01:46:23
Dr. Sanjeev Namjoshi - Active Inference
Oct 22, 2024 – 02:45:32
Joscha Bach - Why Your Thoughts Aren't Yours.
Oct 20, 2024 – 01:52:45
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Oct 19, 2024 – 00:51:34
It's Not About Scale, It's About Abstraction - Francois Chollet
Oct 12, 2024 – 00:46:21
Bold AI Predictions From Cohere Co-founder
Oct 10, 2024 – 00:47:17
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Oct 4, 2024 – 00:55:10
Ben Goertzel on "Superintelligence"
Oct 1, 2024 – 01:37:18
Taming Silicon Valley - Prof. Gary Marcus
Sep 24, 2024 – 01:56:55
Prof. Mark Solms - The Hidden Spring
Sep 18, 2024 – 01:26:45
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Sep 16, 2024 – 01:13:46
Ashley Edwards - Genie Paper (DeepMind/Runway)
Sep 13, 2024 – 00:25:04
Cohere's SVP Technology - Saurabh Baji
Sep 12, 2024 – 01:30:25
David Hanson's Vision for Sentient Robots
Sep 10, 2024 – 00:53:14
The Fabric of Knowledge - David Spivak
Sep 5, 2024 – 00:46:28
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Aug 28, 2024 – 01:39:39
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Aug 25, 2024 – 02:12:15

Recent Reviews

RandomUserOfYourApp

Was great

I used to love this but it’s starting to come off as a platform for product promotion webinars. I don’t know what’s in it for the creator but it has lost my trust. I’ll still check with interest for good content and of course there are always things to learn amongst the marketing bullets but I miss the earlier days here.
diamond bishop

Clear expert sharing with others

Worth listening to and learning. My only note is the Connor episodes can be skipped.
harryoekndn

Super informative!

A podcast that has truly changed my life over the past three years. Phenomenal guests, impeccable ideas.
Usability guy

Neel Nanda episode was fantastic

Adds to a strong catalog.
Rainbow Stalin

Please don’t use music while talking

Please don’t use music while people are talking. I just listened to the new episode with David Chalmers, but it was very difficult due to the music.
Todd Morrill

The real deal

I love these guys. They’re the real deal. They dig into tough topics with A-list guests. And as someone who builds deep learning models and has seen them come up short enough times, I absolutely appreciate all the time devoted to discussions of formal reasoning and symbolic systems.