Machine Learning Street Talk (MLST)

Tim Scarfe

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Booking Overview

This long-form interview podcast focuses on rigorous analysis of artificial intelligence, machine learning, cognitive science, neuroscience, and philosophy of mind, typically featuring prominent AI founders, researchers, and technical teams. Agencies could credibly pitch AI company CEOs and technical executives, frontier-model researchers, AI safety and evaluation experts, cognitive scientists, and computing-hardware innovators; booking difficulty is very high because the show prioritizes pre-eminent, deeply technical guests.

Metrics

Episodes: 256

Frequency: Weekly

Rating: 4.7/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 199.0k subscribers

Contact Information

For verified host and producer emails, sign up to view.

Host

Tim Scarfe - A Ph.D. holder focused on rigorous analysis of artificial intelligence, machine learning, and related scientific disciplines.

Booking Intelligence

Booking Requirements

very_high
Typical Credentials:  
Founders and senior technical leaders of AI companies, frontier AI researchers, benchmark creators, and established experts in machine learning, AI safety, cognitive science, computing, or related disciplines.
Required Achievements:  
Founded or led an AI or advanced-computing company, Developed frontier AI systems, benchmarks, or technical research, Published influential research or produced notable technical breakthroughs, Led recognized work in AI safety, evaluation, reasoning, or hardware innovation

Recent Guest Discussions

Alistair Pullen - Sovereign AI Models, Coding Agents, Open-weight Models, Reinforcement Learning, AI Reliability, And Export Controls.

Michal Tesnar - Arc-agi-3, Agentic Reasoning, Benchmark Design, And The Limits Of Current Language Models.

Stefano Viel - Arc-agi-3, Interactive Agents, Abstraction, Planning, And AI Capability Evaluation.

Dries Smit - Arc-agi-3, Brute-force Search, Action Efficiency, Agent Exploration, And Reasoning Limitations.

Jeroen Cottaar - Arc-agi-3, Interactive Reasoning, Agent Evaluation, Planning, And Benchmark Performance.

Recent Topics

Artificial Intelligence, Machine Learning, Cognitive Science, Neuroscience, Philosophy Of Mind

Episodes

Here's the recent few episodes on
Machine Learning Street Talk (MLST)
:

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

July 13, 2026

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstBritain's most capable coding model can't be exported, and that ban is the whole reason Cosine set out to build one from scratch. Alistair Pullen, CEO and co-founder of Cosine, sits down with Tim Scarfe to explain how a frontier system he calls Fable, locked behind US export controls, became the founding case for a UK sovereign model trained on the Isambard supercomput...

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

July 01, 2026

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 — to work out what their leaderboard-topping system does and what the benchmark is really testing.The cut opens on the games: a walkthrough of the Locksmith game, where you read the rules of an unfamiliar world straight from raw frames. ARC-AGI-3 makes ARC interactive and agentic, so the model has to *discover* the goal rather ...

The Thermodynamic AI Computing Chip - Thomas Ahle

June 28, 2026

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 and verification to tape-out. To get there, his team at wrote their own open-source Verilog simulator, 580,000 lines in 43 days, because commercial EDA verifiers run about $10,000 per core and there are no decent open-source compilers to build on.That sets up the question Tim keeps pressing: if an agent can produce a chip desi...

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