Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

by 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/).
271 episodes Updated 9d ago Website ↗

Episodes 271 total

What Most People Get Wrong About Evolution | Akarsh Kumar

Oct 10, 2026 · 47m

A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Sel…

How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen

Oct 1, 2026 · 1h 10m

Tsung-Hsien (Shawn) Wen, CTO of PolyAI, tells Tim Scarfe why voice agents are harder than text agents. Voice adds time, and a good conversation depends on adapt…

Who Checks a Proof No Human Can Read? — Leo de Moura

Sep 30, 2026 · 1h 14m

Leonardo de Moura created Lean and co-created Z3. ---This episode is sponsored by Parallel.Parallel, where agents find answers: web search, extraction and deep…

When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang

Sep 26, 2026 · 43m

Weco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fix…

How Deep Learning Finally Cracked Messy Tables - Frank Hutter

Sep 23, 2026 · 1h 53m

Frank Hutter, co-founder of Prior Labs, talks about TabPFN, a tabular foundation model that makes predictions in a single forward pass, and the research behind…

Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

Sep 21, 2026 · 2h 14m

Alexander Mattick is a researcher at Fraunhofer IIS and a PhD researcher at the University of Technology Nuremberg (UTN), and a regular on Yannic Kilcher's…

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

Sep 15, 2026 · 25m

The car making a left turn at the start of this episode was never filmed. Cosmos 3 generated it. Ming-Yu Liu, who leads the Cosmos research at NVIDIA, explains…

Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy

Sep 14, 2026 · 1h 42m

Pavan Kumar Reddy leads audio research at Mistral AI. He joins Tim Scarfe for a deep technical tour of Voxtral — and explains why the frontier of deployed voice…

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

Sep 11, 2026 · 2h 1m

Can a machine learn the judgement that separates a plausible-looking result from a faithful experiment? Edward Hughes, Chief Scientist and co-founder of Inheren…

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

Sep 8, 2026 · 1h 29m

Could slowing AI development make superintelligence safer? Daniel Kokotajlo and Thomas Larsen of the AI Futures Project join Tim Scarfe to examine AI 2040: Plan…

Designing How AI Grows — Tom McGrath

Sep 2, 2026 · 1h 40m

Tom McGrath is co-founder and Chief Scientist at Goodfire, and a former Google DeepMind researcher. He joins Tim Scarfe to ask what neural networks actually lea…

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

Aug 22, 2026 · 49m

Tim Scarfe speaks with Ilia Shumailov and Alexander Panfilov about their paper, Stealing Reasoning Traces from Proprietary LLM APIs.The core bug sounds deceptiv…

Every Exponential Ends — Silicon Valley Forgot — Adam Becker

Aug 20, 2026 · 1h 18m

Astrophysicist Adam Becker, author of "What Is Real?", joins Tim Scarfe to take apart the futures Silicon Valley keeps selling: the 2045 singularity…

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

Aug 10, 2026 · 1h 18m

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstWhy can deep networks discover abstraction…

How Researchers Test AI for Hidden Goals — Apollo Research

Jul 31, 2026 · 1h 18m

Can an AI do the right thing for the wrong reason? Tim Scarfe speaks with Apollo Research’s Alexander Meinke, Axel Højmark and Jérémy Scheurer about Measuring R…

Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)

Jul 13, 2026 · 55m

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstBritain's most capable coding model ca…

The Benchmark With No Instructions — ARC-AGI-3 (winning team!)

Jul 1, 2026 · 1h 24m

Tim Scarfe travels to Zurich to sit down with the Tufa Labs ARC-AGI-3 team — founder Benjamin Crouzier, with Jeroen Cottaar, Dries Smit, Stefano Viel and Michal…

The Thermodynamic AI Computing Chip - Thomas Ahle

Jun 28, 2026 · 1h 2m

Thomas Ahle wants Normal Computing to be the Lovable for chip design: type your intent, and a swarm of agents carries it from design through optimisation, forma…

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

Jun 22, 2026 · 53m

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstProtein folding stalled biology for fifty…

When AI Decides You're a Threat — Brad Carson

May 31, 2026 · 1h 20m

Brad Carson was the Army's General Counsel, served two terms in Congress and was Acting Under Secretary of Defense for Personnel and Readiness. He now heads Ame…