Machine Learning Street Talk (MLST) artwork

Technology · 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/).

Chart trend

Position in the Technology chart (US), last 90 days.

#40
all-time peak
2
days in the top 50 since Nov 2024

Latest episodes

Showing 20 · updated from the feed

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

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

Sep 11
2 h 01 min

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

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 A, a prop

Sep 8
1 h 29 min

Designing How AI Grows — Tom McGrath

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 learn, whethe

Sep 2
1 h 40 min

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

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

Aug 22
49 min

Every Exponential Ends — Silicon Valley Forgot — Adam Becker

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

Aug 20
1 h 18 min

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

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

Aug 10
1 h 18 min

How Researchers Test AI for Hidden Goals — Apollo Research

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 Reward-Seek

Jul 31
1 h 18 min

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

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlst Britain's most capable coding model can't be exported,

Jul 13
55 min

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

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 Tesnar —

Jul 1
1 h 24 min

The Thermodynamic AI Computing Chip - Thomas Ahle

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, formalisation a

Jun 28
1 h 02 min

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

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

Jun 22
53 min

When AI Decides You're a Threat — Brad Carson

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 Americans for

May 31
1 h 20 min

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

Michael I. Jordan, described by Science magazine as the most influential computer scientist alive, has never thought of himself as an AI researcher. In this conversation

May 21
1 h 17 min

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

Beth Barnes and David Rein on the one graph that ate the AI timelines discourse, and why the two people who built it are the most careful about how you read it.**SPONSOR*

May 4
1 h 53 min

When AI Discovers The Next Transformer - Robert Lange (Sakana)

Robert Lange, founding researcher at Sakana AI, joins Tim to discuss *Shinka Evolve* — a framework that combines LLMs with evolutionary algorithms to do open-ended progra

Mar 13
1 h 18 min

"Vibe Coding is a Slot Machine" - Jeremy Howard

Dive into the realities of AI-assisted coding, the origins of modern fine-tuning, and the cognitive science behind machine learning with fast.ai founder Jeremy Howard. In

Mar 3
1 h 26 min

Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas

What if life itself is just a really sophisticated computer program that wrote itself into existence? Blaise Agüera y Arcas presenting at ALife 2025 — the most technical

Feb 16
55 min

VAEs Are Energy-Based Models? [Dr. Jeff Beck]

What makes something truly *intelligent?* Is a rock an agent? Could a perfect simulation of your brain actually *be* you? In this fascinating conversation, Dr. Jeff Beck

Jan 25
46 min

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

Professor Mazviita Chirimuuta joins us for a fascinating deep dive into the philosophy of neuroscience and what it really means to understand the mind.*What can neuroscie

Jan 23
53 min

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]

What if everything we think we know about the brain is just a really good metaphor that we forgot was a metaphor?This episode takes you on a journey through the history o

Jan 23
42 min

Chart positions

Where Machine Learning Street Talk (MLST) ranks today in each Apple Podcasts chart (US, Sep 13, 2026).

#88 ▲ 18 Technology US

What listeners say

A curated, balanced selection of Apple Podcasts reviews.

I love these guys. They’re the real deal. They dig into tough topics with A-list guests. And as someone who builds deep learning models and has seen them come up short enough times, I absolutely appreciate all the time devoted to discussions of formal reasoning and symbolic systems.

Todd Morrill · May 2022

A podcast that has truly changed my life over the past three years. Phenomenal guests, impeccable ideas.

harryoekndn · Sep 2023

Please don’t use music while people are talking. I just listened to the new episode with David Chalmers, but it was very difficult due to the music.

Rainbow Stalin · Dec 2022

I used to love this but it’s starting to come off as a platform for product promotion webinars. I don’t know what’s in it for the creator but it has lost my trust. I’ll still check with interest for good content and of course there are always things to learn amongst the marketing bullets but I miss the earlier days here.

RandomUserOfYourApp · Sep 2024

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About Machine Learning Street Talk (MLST) on Reason.fm

Here you find the Apple Podcasts chart positions of Machine Learning Street Talk (MLST), its latest episodes to listen to directly, and reviews from listeners. Rankings are updated daily for the United States.

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