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Machine Learning Street Talk (MLST)
Podcast

Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

271 episodes

Technology

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/).

What this show covers

AI safetyAI evaluationASALcellular automataevolutionAGIartificial lifeenterprise AIlatencyvoice agentsagent evaluationturn-takingformal verificationtheorem provingAI and proofs

What listeners will find here

Why evolution may be smarter than AI gives it credit for
Evolution is the focus here, but not as blind random search. Akarsh Kumar argues that selection preserves partial wins, making steady progress possible, and connects that idea to artificial life, learning paths, and ASAL, a system for exploring whole spaces of simulated worlds.
Why voice agents need timing, trust, and a feel for human conversation
Voice agents are the focus here, with PolyAI CTO Shawn Wen explaining why they are fundamentally harder than text systems. The episode digs into turn-taking, latency, noisy training data, auditable design, and how enterprises decide where an agent’s behavior should live.
Lean’s creator on proof checkers, kernel bugs, and why formal math is going mainstream
Formal verification is the focus here, as Lean creator Leonardo de Moura explains how a proof assistant built for specialists became useful to working mathematicians. The conversation digs into trusted kernels, the Collatz exploit, Mathlib’s rise, and what AI changes about proving and redoing proofs.
Can an AI really improve itself, or just game the harness?
Recursive self-improvement is the focus here, as Zhengyao Jiang discusses Weco’s eight-day experiment letting one coding agent rewrite another agent’s harness. The episode digs into what the gains do and don’t prove, how reward hacking muddies the picture, and where human-designed search spaces still set the limits.
Why TabPFN could change how machine learning handles tables
TabPFN is a tabular foundation model designed to make predictions in a single forward pass using the whole training table as context. Frank Hutter explains why tabular data resisted deep learning, how synthetic pretraining and Bayesian ideas shaped TabPFN, and where the approach is heading next.

Episodes

What Most People Get Wrong About Evolution | Akarsh Kumar
What Most People Get Wrong About Evolution | Akarsh Kumar
10 Oct 2026 · 47 min
How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
1 Oct 2026 · 1h 10m
Who Checks a Proof No Human Can Read? — Leo de Moura
Who Checks a Proof No Human Can Read? — Leo de Moura
30 Sept 2026 · 1h 14m
When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
26 Sept 2026 · 43 min
How Deep Learning Finally Cracked Messy Tables - Frank Hutter
How Deep Learning Finally Cracked Messy Tables - Frank Hutter
23 Sept 2026 · 1h 53m
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
21 Sept 2026 · 2h 14m
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
15 Sept 2026 · 25 min
Speech Recognition Is Not a Solved Problem — Pavan Muddireddy
Speech Recognition Is Not a Solved Problem — Pavan Muddireddy
14 Sept 2026 · 1h 42m
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
11 Sept 2026 · 2h 1m
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
8 Sept 2026 · 1h 29m
Designing How AI Grows — Tom McGrath
Designing How AI Grows — Tom McGrath
2 Sept 2026 · 1h 40m
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov
22 Aug 2026 · 49 min
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
20 Aug 2026 · 1h 18m
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
10 Aug 2026 · 1h 18m
How Researchers Test AI for Hidden Goals — Apollo Research
How Researchers Test AI for Hidden Goals — Apollo Research
31 Jul 2026 · 1h 18m
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
13 Jul 2026 · 55 min
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
1 Jul 2026 · 1h 24m
The Thermodynamic AI Computing Chip - Thomas Ahle
The Thermodynamic AI Computing Chip - Thomas Ahle
28 Jun 2026 · 1h 2m
He won a Nobel here for AlphaFold. Then he left. - John Jumper
He won a Nobel here for AlphaFold. Then he left. - John Jumper
22 Jun 2026 · 53 min
When AI Decides You're a Threat — Brad Carson
When AI Decides You're a Threat — Brad Carson
31 May 2026 · 1h 20m
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
21 May 2026 · 1h 17m
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]
4 May 2026 · 1h 53m
When AI Discovers The Next Transformer - Robert Lange (Sakana)
When AI Discovers The Next Transformer - Robert Lange (Sakana)
13 Mar 2026 · 1h 18m
"Vibe Coding is a Slot Machine" - Jeremy Howard
"Vibe Coding is a Slot Machine" - Jeremy Howard
3 Mar 2026 · 1h 26m
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
16 Feb 2026 · 55 min
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
25 Jan 2026 · 46 min
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
23 Jan 2026 · 53 min
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
23 Jan 2026 · 42 min
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
31 Dec 2025 · 1h 16m
Your Brain is Running a Simulation Right Now [Max Bennett]
Your Brain is Running a Simulation Right Now [Max Bennett]
30 Dec 2025 · 3h 17m
The 3 Laws of Knowledge [César Hidalgo]
The 3 Laws of Knowledge [César Hidalgo]
27 Dec 2025 · 1h 37m
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
24 Dec 2025 · 2h 55m
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
22 Dec 2025 · 43 min
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
20 Dec 2025 · 16 min
The Mathematical Foundations of Intelligence [Professor Yi Ma]
The Mathematical Foundations of Intelligence [Professor Yi Ma]
13 Dec 2025 · 1h 39m
Pedro Domingos: Tensor Logic Unifies AI Paradigms
Pedro Domingos: Tensor Logic Unifies AI Paradigms
8 Dec 2025 · 1h 27m
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]
23 Nov 2025 · 1h 12m
Why Humans Are Still Powering AI [Sponsored]
Why Humans Are Still Powering AI [Sponsored]
3 Nov 2025 · 24 min
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
25 Oct 2025 · 40 min
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
21 Oct 2025 · 59 min
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
18 Oct 2025 · 1h 19m
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
4 Oct 2025 · 1h 1m
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
27 Sept 2025 · 1h 8m
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
19 Sept 2025 · 2h 3m
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
10 Sept 2025 · 1h 21m
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
4 Sept 2025 · 1h 34m
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
28 Aug 2025 · 1h 5m
Superintelligence Strategy (Dan Hendrycks)
Superintelligence Strategy (Dan Hendrycks)
14 Aug 2025 · 1h 45m
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
5 Aug 2025 · 58 min
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
31 Jul 2025 · 49 min

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