All Episodes
Machine Learning Street Talk (MLST) — 271 episodes · page 1 of 3
What Most People Get Wrong About Evolution | Akarsh Kumar
How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
Who Checks a Proof No Human Can Read? — Leo de Moura
When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
How Deep Learning Finally Cracked Messy Tables - Frank Hutter
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
Designing How AI Grows — Tom McGrath
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
How Researchers Test AI for Hidden Goals — Apollo Research
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
The Thermodynamic AI Computing Chip - Thomas Ahle
He won a Nobel here for AlphaFold. Then he left. - John Jumper
When AI Decides You're a Threat — Brad Carson
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]
When AI Discovers The Next Transformer - Robert Lange (Sakana)
"Vibe Coding is a Slot Machine" - Jeremy Howard
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
Your Brain is Running a Simulation Right Now [Max Bennett]
The 3 Laws of Knowledge [César Hidalgo]
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
The Mathematical Foundations of Intelligence [Professor Yi Ma]
Pedro Domingos: Tensor Logic Unifies AI Paradigms
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]
Why Humans Are Still Powering AI [Sponsored]
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
Superintelligence Strategy (Dan Hendrycks)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
Pushing compute to the limits of physics
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)
The Fractured Entangled Representation Hypothesis (Intro)
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield
"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
Google AlphaEvolve - Discovering new science (exclusive interview)
Prof. Randall Balestriero - LLMs without pretraining and SSL
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
The Compendium - Connor Leahy and Gabriel Alfour
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
GSMSymbolic paper - Iman Mirzadeh (Apple)
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Tau Language: The Software Synthesis Future (sponsored)
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Transformers Need Glasses! - Federico Barbero
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Sepp Hochreiter - LSTM: The Comeback Story?
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Nicholas Carlini (Google DeepMind)
Subbarao Kambhampati - Do o1 models search?
How Do AI Models Actually Think? - Laura Ruis
Jurgen Schmidhuber on Humans co-existing with AIs
Yoshua Bengio - Designing out Agency for Safe AI
Francois Chollet - ARC reflections - NeurIPS 2024
Jeff Clune - Agent AI Needs Darwin
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Jonas Hübotter (ETH) - Test Time Inference
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Nora Belrose - AI Development, Safety, and Meaning
Why Your GPUs are underutilised for AI - CentML CEO Explains
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Pattern Recognition vs True Intelligence - Francois Chollet
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Michael Levin - Why Intelligence Isn't Limited To Brains.
Speechmatics CTO - Next-Generation Speech Recognition
Dr. Sanjeev Namjoshi - Active Inference
Joscha Bach - Why Your Thoughts Aren't Yours.
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
It's Not About Scale, It's About Abstraction - Francois Chollet
Bold AI Predictions From Cohere Co-founder
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Ben Goertzel on "Superintelligence"
Taming Silicon Valley - Prof. Gary Marcus
Prof. Mark Solms - The Hidden Spring