All Episodes
Machine Learning Street Talk (MLST) — 252 episodes
When AI Decides You're a Threat — Brad Carson
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]
When AI Discovers The Next Transformer - Robert Lange (Sakana)
"Vibe Coding is a Slot Machine" - Jeremy Howard
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]
Your Brain is Running a Simulation Right Now [Max Bennett]
The 3 Laws of Knowledge [César Hidalgo]
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
The Mathematical Foundations of Intelligence [Professor Yi Ma]
Pedro Domingos: Tensor Logic Unifies AI Paradigms
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]
Why Humans Are Still Powering AI [Sponsored]
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)
Michael Timothy Bennett: Defining Intelligence and AGI Approaches
Superintelligence Strategy (Dan Hendrycks)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)
Pushing compute to the limits of physics
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)
The Fractured Entangled Representation Hypothesis (Intro)
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield
"Blurring Reality" - Chai's Social AI Platform (SPONSORED)
Google AlphaEvolve - Discovering new science (exclusive interview)
Prof. Randall Balestriero - LLMs without pretraining and SSL
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
The Compendium - Connor Leahy and Gabriel Alfour
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
GSMSymbolic paper - Iman Mirzadeh (Apple)
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Tau Language: The Software Synthesis Future (sponsored)
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Transformers Need Glasses! - Federico Barbero
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Sepp Hochreiter - LSTM: The Comeback Story?
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Nicholas Carlini (Google DeepMind)
Subbarao Kambhampati - Do o1 models search?
How Do AI Models Actually Think? - Laura Ruis
Jurgen Schmidhuber on Humans co-existing with AIs
Yoshua Bengio - Designing out Agency for Safe AI
Francois Chollet - ARC reflections - NeurIPS 2024
Jeff Clune - Agent AI Needs Darwin
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Jonas Hübotter (ETH) - Test Time Inference
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Nora Belrose - AI Development, Safety, and Meaning
Why Your GPUs are underutilised for AI - CentML CEO Explains
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Pattern Recognition vs True Intelligence - Francois Chollet
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Michael Levin - Why Intelligence Isn't Limited To Brains.
Speechmatics CTO - Next-Generation Speech Recognition
Dr. Sanjeev Namjoshi - Active Inference
Joscha Bach - Why Your Thoughts Aren't Yours.
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
It's Not About Scale, It's About Abstraction - Francois Chollet
Bold AI Predictions From Cohere Co-founder
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Ben Goertzel on "Superintelligence"
Taming Silicon Valley - Prof. Gary Marcus
Prof. Mark Solms - The Hidden Spring
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Ashley Edwards - Genie Paper (DeepMind/Runway)
Cohere's SVP Technology - Saurabh Baji
David Hanson's Vision for Sentient Robots
The Fabric of Knowledge - David Spivak
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Joscha Bach - AGI24 Keynote (Cyberanimism)
Gary Marcus' keynote at AGI-24
Is ChatGPT an N-gram model on steroids?
Jay Alammar on LLMs, RAG, and AI Engineering
Can AI therapy be more effective than drugs?
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Prof. Murray Shanahan - Machines Don't Think Like Us
David Chalmers - Reality+
Ryan Greenblatt - Solving ARC with GPT4o
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
New "50%" ARC result and current winners interviewed
Cohere co-founder Nick Frosst on building LLM apps for business
What’s the Magic Word? A Control Theory of LLM Prompting.
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Dr. Thomas Parr - Active Inference Book
Connor Leahy - e/acc, AGI and the future.
Prof. Chris Bishop's NEW Deep Learning Textbook!
Philip Ball - How Life Works
Dr. Paul Lessard - Categorical/Structured Deep Learning
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Prof. Nick Chater - The Language Game (Part 1)
Kenneth Stanley created a new social network based on serendipity and divergence
Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos
Mahault Albarracin - Cognitive Science
$450M AI Startup In 3 Years | Chai AI
DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Prof. BERT DE VRIES - ON ACTIVE INFERENCE
MULTI AGENT LEARNING - LANCELOT DA COSTA
THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
DR. JEFF BECK - THE BAYESIAN BRAIN
Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!
Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead
STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics
Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS
Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy
Dr. MAXWELL RAMSTEAD - The Physics of Survival
MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]
[SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)
Joscha Bach and Connor Leahy on AI risk
Neel Nanda - Mechanistic Interpretability
Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)
Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]
ROBERT MILES - "There is a good chance this kills everyone"
AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)
Future of Generative AI [David Foster]
PERPLEXITY AI - The future of search.
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction
#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY
#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc
#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
#109 - Dr. DAN MCQUILLAN - Resisting AI
#108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism
#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism
[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information
#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information
#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
#96 Prof. PEDRO DOMINGOS - There are no infinities, utility functions, neurosymbolic
#95 - Prof. IRINA RISH - AGI, Complex Systems, Transhumanism
#94 - ALAN CHAN - AI Alignment and Governance #NEURIPS
#93 Prof. MURRAY SHANAHAN - Consciousness, Embodiment, Language Models
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
#91 - HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS
(Music Removed) #90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]
#90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]
#88 Dr. WALID SABA - Why machines will never rule the world [UNPLUGGED]
#86 - Prof. YANN LECUN and Dr. RANDALL BALESTRIERO - SSL, Data Augmentation, Reward isn't enough [NEURIPS2022]
#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]
#84 LAURA RUIS - Large language models are not zero-shot communicators [NEURIPS UNPLUGGED]
#83 Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED]
#82 - Dr. JOSCHA BACH - Digital Physics, DL and Consciousness [UNPLUGGED]
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
#80 AIDAN GOMEZ [CEO Cohere] - Language as Software
#79 Consciousness and the Chinese Room [Special Edition] (CHOLLET, BISHOP, CHALMERS, BACH)
MLST #78 - Prof. NOAM CHOMSKY (Special Edition)
#77 - Vitaliy Chiley (Cerebras)
#76 - LUKAS BIEWALD (Weights and Biases CEO)
#75 - Emergence [Special Edition] with Dr. DANIELE GRATTAROLA
#74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]
#67 Prof. KARL FRISTON 2.0
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
#65 Prof. PEDRO DOMINGOS [Unplugged]
#64 Prof. Gary Marcus 3.0
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
#60 Geometric Deep Learning Blueprint (Special Edition)
#59 - Jeff Hawkins (Thousand Brains Theory)
#58 Dr. Ben Goertzel - Artificial General Intelligence
#57 - Prof. Melanie Mitchell - Why AI is harder than we think
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
#52 - Unadversarial Examples (Hadi Salman, MIT)
#51 Francois Chollet - Intelligence and Generalisation
#50 Christian Szegedy - Formal Reasoning, Program Synthesis
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
#48 Machine Learning Security - Andy Smith
047 Interpretable Machine Learning - Christoph Molnar
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
#044 - Data-efficient Image Transformers (Hugo Touvron)
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
#042 - Pedro Domingos - Ethics and Cancel Culture
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
#039 - Lena Voita - NLP
#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned
#037 - Tour De Bayesian with Connor Tann
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
#035 Christmas Community Edition!
#034 Eray Özkural- AGI, Simulations & Safety
#033 Prof. Karl Friston - The Free Energy Principle
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
NLP is not NLU and GPT-3 - Walid Saba
AI Alignment & AGI Fire Alarm - Connor Leahy
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
The Social Dilemma Part 3 - Dr. Rebecca Roache
The Social Dilemma - Part 1
Capsule Networks and Education Targets
Programming Languages, Software Engineering and Machine Learning
Computation, Bayesian Model Selection, Interactive Articles
Kernels!
Explainability, Reasoning, Priors and GPT-3
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Sayak Paul
Robert Lange on NN Pruning and Collective Intelligence
WelcomeAIOverlords (Zak Jost)
Facebook Research - Unsupervised Translation of Programming Languages
Francois Chollet - On the Measure of Intelligence
OpenAI GPT-3: Language Models are Few-Shot Learners
Jordan Edwards: ML Engineering and DevOps on AzureML
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
ICLR 2020: Yann LeCun and Energy-Based Models
The Lottery Ticket Hypothesis with Jonathan Frankle
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Exploring Open-Ended Algorithms: POET