Machine Learning Street Talk (MLST)
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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...
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233 episode![The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1761389525347-aa00a453b8ad9.jpg)
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
"What is life?" - asks Chris Kempes, a professor at the Santa Fe Institute.
Chris explains that scientists are moving beyond a pur...
Life, Intelligence, and Embodied Computation - Blaise Agüera y Arcas
Blaise Agüera y Arcas explores some mind-bending ideas about what intelligence and life really are—and why they might be more similar than we think (f...
![Why AI Needs Culture (Not Just Data) [Sponsored] (Sara Saab, Enzo Blindow - Prolific)](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1760796298029-c4a7d8b4ae19c.jpg)
Why AI Needs Culture (Not Just Data) [Sponsored] (Sara Saab, Enzo Blindow - Prolific)
We sat down with Sara Saab (VP of Product at Prolific) and Enzo Blindow (VP of Data and AI at Prolific) to explore the critical role of human evaluati...
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agents
Ever wondered what happens...
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
We need AI systems to synthesise new knowledge, not just compress the data they see. Jeremy Berman, is a research scientist at Reflection AI and recen...
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in mac...
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
In this episode, hosts Tim and Keith finally realize their long-held dream of sitting down with their hero, the brilliant neuroscientist Professor Kar...
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
We are joined by Cristopher Moore, a professor at the Santa Fe Institute with a diverse background in physics, computer science, and machine learning....
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
Dr. Michael Timothy Bennett is a computer scientist who's deeply interested in understanding artificial intelligence, consciousness, and what it means...
Superintelligence Strategy (Dan Hendrycks)
Deep dive with Dan Hendrycks, a leading AI safety researcher and co-author of the "Superintelligence Strategy" paper with former Google CEO Eric Schmi...
![DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1754404123587-11ae564331fec.jpg)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
This episode features Shlomi Fuchter and Jack Parker Holder from Google DeepMind, who are unveiling a new AI called Genie 3. The host, Tim Scarfe, des...
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
Prof. David Krakauer, President of the Santa Fe Institute argues that we are fundamentally confusing knowledge with intelligence, especially when it c...
Pushing compute to the limits of physics
Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic.
Guillaume shares...
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)
Are the AI models you use today imposters?
Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hh...
The Fractured Entangled Representation Hypothesis (Intro)
What if today's incredible AI is just a brilliant "impostor"? This episode features host Dr. Tim Scarfe in conversation with guests Prof. Kenneth Stan...
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)
What if the most powerful technology in human history is being built by people who openly admit they don't trust each other? In this explosive 2-hour...
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield
We interview Professor Christopher Summerfield from Oxford University about his new book "These Strange New Minds: How AI Learned to Talk and What It"...
"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
"Blurring Reality" - Chai's Social AI Platform - sponsored
This episode of MLST explores the groundbreaking work of Chai, a social...
Google AlphaEvolve - Discovering new science (exclusive interview)
Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplicat...
Prof. Randall Balestriero - LLMs without pretraining and SSL
Randall Balestriero joins the show to discuss some counterintuitive findings in AI. He shares research showing that huge language models, even when st...
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Prof. Kevin Ellis and Dr. Zenna Tavares talk about making AI smarter, like humans. They want AI to learn from just a little bit of information by acti...
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software developmen...
The Compendium - Connor Leahy and Gabriel Alfour
Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artifici...
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
We are joined by Francois Chollet and Mike Knoop, to launch the new version of the ARC prize! In version 2, the challenges have been calibrated with h...
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Mohamed Osman joins to discuss MindsAI's highest scoring entry to the ARC challenge 2024 and the paradigm of test-time fine-tuning. They explore how t...
GSMSymbolic paper - Iman Mirzadeh (Apple)
Iman Mirzadeh from Apple, who recently published the GSM-Symbolic paper discusses the crucial distinction between intelligence and achievement in AI s...
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Dr. Max Bartolo from Cohere discusses machine learning model development, evaluation, and robustness. Key topics include model reasoning, the DynaBenc...
Tau Language: The Software Synthesis Future (sponsored)
This sponsored episode features mathematician Ohad Asor discussing logical approaches to AI, focusing on the limitations of machine learning and intro...
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
John Palazza from CentML joins us in this sponsored interview to discuss the critical importance of infrastructure optimization in the age of Large La...
Transformers Need Glasses! - Federico Barbero
Federico Barbero (DeepMind/Oxford) is the lead author of "Transformers Need Glasses!".
Have you ever wondered why LLMs struggle w...
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.
Th...
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Clement Bonnet discusses his novel approach to the ARC (Abstraction and Reasoning Corpus) challenge. Unlike approaches that rely on fine-tuning LLMs o...
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Prof. Jakob Foerster, a leading AI researcher at Oxford University and Meta, and Chris Lu, a researcher at OpenAI -- they explain how AI is moving bey...
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Daniel Franzen and Jan Disselhoff, the "ARChitects" are the official winners of the ARC Prize 2024. Filmed at Tufa Labs in Zurich - they revealed how...
Sepp Hochreiter - LSTM: The Comeback Story?
Sepp Hochreiter, the inventor of LSTM (Long Short-Term Memory) networks – a foundational technology in AI. Sepp discusses his journey, the origins of...
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Professor Randall Balestriero joins us to discuss neural network geometry, spline theory, and emerging phenomena in deep learning, based on research p...
Nicholas Carlini (Google DeepMind)
Nicholas Carlini from Google DeepMind offers his view of AI security, emergent LLM capabilities, and his groundbreaking model-stealing research. He re...
Subbarao Kambhampati - Do o1 models search?
Join Prof. Subbarao Kambhampati and host Tim Scarfe for a deep dive into OpenAI's O1 model and the future of AI reasoning systems.
How Do AI Models Actually Think? - Laura Ruis
Laura Ruis, a PhD student at University College London and researcher at Cohere, explains her groundbreaking research into how large language models (...
Jurgen Schmidhuber on Humans co-existing with AIs
Jürgen Schmidhuber, the father of generative AI, challenges current AI narratives, revealing that early deep learning work is in his opinion misattrib...