Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST) 268 - How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu

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/).

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04 oct. 2025

27 sep. 2025

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04 sep. 2025

28 aug. 2025

14 aug. 2025

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31 iul. 2025

21 iul. 2025

06 iul. 2025

05 iul. 2025

24 iun. 2025

17 iun. 2025

26 mai 2025

Machine Learning Street Talk (MLST)

Episoade

How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu

Speech Recognition Is Not a Solved Problem — Pavan Muddireddy

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)