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 Replication Could Teach Machines What Good Science Looks Like — Edward Hughe...
Machine Learning Street Talk (MLST)
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
Machine Learning Street Talk (MLST)
Designing How AI Grows — Tom McGrath
Machine Learning Street Talk (MLST)
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander...
Machine Learning Street Talk (MLST)
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
Machine Learning Street Talk (MLST)
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
Machine Learning Street Talk (MLST)
How Researchers Test AI for Hidden Goals — Apollo Research
Machine Learning Street Talk (MLST)
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Machine Learning Street Talk (MLST)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
Machine Learning Street Talk (MLST)
The Thermodynamic AI Computing Chip - Thomas Ahle
Machine Learning Street Talk (MLST)
He won a Nobel here for AlphaFold. Then he left. - John Jumper
Machine Learning Street Talk (MLST)
When AI Decides You're a Threat — Brad Carson
Machine Learning Street Talk (MLST)
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkele...
Machine Learning Street Talk (MLST)
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [...
Machine Learning Street Talk (MLST)
When AI Discovers The Next Transformer - Robert Lange (Sakana)
Machine Learning Street Talk (MLST)
"Vibe Coding is a Slot Machine" - Jeremy Howard
Machine Learning Street Talk (MLST)
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
Machine Learning Street Talk (MLST)
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
Machine Learning Street Talk (MLST)
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
Machine Learning Street Talk (MLST)
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
Machine Learning Street Talk (MLST)
Your Brain is Running a Simulation Right Now [Max Bennett]
Machine Learning Street Talk (MLST)
The 3 Laws of Knowledge [César Hidalgo]
Machine Learning Street Talk (MLST)
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
Machine Learning Street Talk (MLST)
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik...
Machine Learning Street Talk (MLST)
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Pe...
Machine Learning Street Talk (MLST)
The Mathematical Foundations of Intelligence [Professor Yi Ma]
Machine Learning Street Talk (MLST)
Pedro Domingos: Tensor Logic Unifies AI Paradigms
Machine Learning Street Talk (MLST)
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones a...
Machine Learning Street Talk (MLST)
Why Humans Are Still Powering AI [Sponsored]
Machine Learning Street Talk (MLST)
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
Machine Learning Street Talk (MLST)
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
Machine Learning Street Talk (MLST)
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
Machine Learning Street Talk (MLST)
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov...
Machine Learning Street Talk (MLST)
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
Machine Learning Street Talk (MLST)
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NY...
Machine Learning Street Talk (MLST)
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
Machine Learning Street Talk (MLST)
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
Machine Learning Street Talk (MLST)
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
Machine Learning Street Talk (MLST)
Superintelligence Strategy (Dan Hendrycks)
Machine Learning Street Talk (MLST)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
Machine Learning Street Talk (MLST)
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David...
Machine Learning Street Talk (MLST)
Pushing compute to the limits of physics
Machine Learning Street Talk (MLST)
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar...
Machine Learning Street Talk (MLST)
The Fractured Entangled Representation Hypothesis (Intro)
Machine Learning Street Talk (MLST)
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus,...
Machine Learning Street Talk (MLST)
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield
Machine Learning Street Talk (MLST)
"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
Machine Learning Street Talk (MLST)
Google AlphaEvolve - Discovering new science (exclusive interview)
Machine Learning Street Talk (MLST)
Prof. Randall Balestriero - LLMs without pretraining and SSL
Machine Learning Street Talk (MLST)
