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 appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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Every guest on Machine Learning Street Talk (MLST)

172 guests, ranked by how many people never want them back.

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Thomas Parr
Dr. Thomas Parr - Active Inference Book · May 2024

0 votes
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Tim Rocktäschel
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel · Oct 2024

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Tom Zahavy
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind) · Mar 2021

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Vitaliy Chiley
#77 - Vitaliy Chiley (Cerebras) · Jun 2022

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Walid Saba
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED] · 3 episodes

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Wieland Brendel

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Wouter M. Koolen
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen) · Nov 2020

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Yasaman Razeghi
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks · Apr 2022

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Zak Jost
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED] · 2 episodes

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Zenna Tavares

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David Krakauer
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer) · Jul 2025

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Robert Langer
When AI Discovers The Next Transformer - Robert Lange (Sakana) · 2 episodes

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Recent episodes

265 episodes from the feed, newest first.

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

Sep 2026
Speech Recognition Is Not a Solved Problem — Pavan Muddireddy
with Pavan Muddireddy

Sep 2026
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
with Edward Hughes

Sep 2026
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
with Daniel Kokotajlo

Sep 2026
Designing How AI Grows — Tom McGrath
with Tom McGrath

Sep 2026
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov
with Ilia Shumailov

Aug 2026
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
with Adam Becker

Aug 2026
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
with Matthieu Wyart

Aug 2026
How Researchers Test AI for Hidden Goals — Apollo Research
Jul 2026
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
with Alistair Pullen

Jul 2026
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
Jul 2026
The Thermodynamic AI Computing Chip - Thomas Ahle
with Thomas Ahle

Jun 2026
He won a Nobel here for AlphaFold. Then he left. - John Jumper
with John Jumper

Jun 2026
When AI Decides You're a Threat — Brad Carson
with Brad Carson

May 2026
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
with Michael I. Jordan

May 2026
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]
with Beth Barnes

May 2026
When AI Discovers The Next Transformer - Robert Lange (Sakana)
with Robert Langer

Mar 2026
"Vibe Coding is a Slot Machine" - Jeremy Howard
with Jeremy Howard

Mar 2026
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
Feb 2026
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
with Jeff Beck

Jan 2026
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
with Mazviita Chirimuuta

Jan 2026
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
Jan 2026
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
with Jeff Beck

Dec 2025
Your Brain is Running a Simulation Right Now [Max Bennett]
with Max Bennett

Dec 2025
The 3 Laws of Knowledge [César Hidalgo]
with Cesar Hidalgo

Dec 2025