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 appe...
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How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Machine Learning Street Talk (MLST)
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Machine Learning Street Talk (MLST)
The Compendium - Connor Leahy and Gabriel Alfour
Machine Learning Street Talk (MLST)
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Machine Learning Street Talk (MLST)
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Machine Learning Street Talk (MLST)
GSMSymbolic paper - Iman Mirzadeh (Apple)
Machine Learning Street Talk (MLST)
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Machine Learning Street Talk (MLST)
Tau Language: The Software Synthesis Future (sponsored)
Machine Learning Street Talk (MLST)
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Machine Learning Street Talk (MLST)
Transformers Need Glasses! - Federico Barbero
Machine Learning Street Talk (MLST)
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Machine Learning Street Talk (MLST)
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Machine Learning Street Talk (MLST)
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Machine Learning Street Talk (MLST)
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Machine Learning Street Talk (MLST)
Sepp Hochreiter - LSTM: The Comeback Story?
Machine Learning Street Talk (MLST)
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Bales...
Machine Learning Street Talk (MLST)
Nicholas Carlini (Google DeepMind)
Machine Learning Street Talk (MLST)
Subbarao Kambhampati - Do o1 models search?
Machine Learning Street Talk (MLST)
How Do AI Models Actually Think? - Laura Ruis
Machine Learning Street Talk (MLST)
Jurgen Schmidhuber on Humans co-existing with AIs
Machine Learning Street Talk (MLST)
Yoshua Bengio - Designing out Agency for Safe AI
Machine Learning Street Talk (MLST)
Francois Chollet - ARC reflections - NeurIPS 2024
Machine Learning Street Talk (MLST)
Jeff Clune - Agent AI Needs Darwin
Machine Learning Street Talk (MLST)
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Machine Learning Street Talk (MLST)
Jonas Hübotter (ETH) - Test Time Inference
Machine Learning Street Talk (MLST)
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Machine Learning Street Talk (MLST)
Nora Belrose - AI Development, Safety, and Meaning
Machine Learning Street Talk (MLST)
Why Your GPUs are underutilised for AI - CentML CEO Explains
Machine Learning Street Talk (MLST)
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Machine Learning Street Talk (MLST)
Pattern Recognition vs True Intelligence - Francois Chollet
Machine Learning Street Talk (MLST)
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Machine Learning Street Talk (MLST)
Michael Levin - Why Intelligence Isn't Limited To Brains.
Machine Learning Street Talk (MLST)
Speechmatics CTO - Next-Generation Speech Recognition
Machine Learning Street Talk (MLST)
Dr. Sanjeev Namjoshi - Active Inference
Machine Learning Street Talk (MLST)
Joscha Bach - Why Your Thoughts Aren't Yours.
Machine Learning Street Talk (MLST)
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Machine Learning Street Talk (MLST)
It's Not About Scale, It's About Abstraction - Francois Chollet
Machine Learning Street Talk (MLST)
Bold AI Predictions From Cohere Co-founder
Machine Learning Street Talk (MLST)
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Machine Learning Street Talk (MLST)
Ben Goertzel on "Superintelligence"
Machine Learning Street Talk (MLST)
Taming Silicon Valley - Prof. Gary Marcus
Machine Learning Street Talk (MLST)
Prof. Mark Solms - The Hidden Spring
Machine Learning Street Talk (MLST)
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Machine Learning Street Talk (MLST)
Ashley Edwards - Genie Paper (DeepMind/Runway)
Machine Learning Street Talk (MLST)
Cohere's SVP Technology - Saurabh Baji
Machine Learning Street Talk (MLST)
David Hanson's Vision for Sentient Robots
Machine Learning Street Talk (MLST)
The Fabric of Knowledge - David Spivak
Machine Learning Street Talk (MLST)
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTM...
Machine Learning Street Talk (MLST)
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Machine Learning Street Talk (MLST)
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Machine Learning Street Talk (MLST)