Machine Learning Street Talk (MLST)

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