"The Cognitive Revolution"

AI Discovered Antibiotics: How Small Data & Small GNNs Led to Big Results, w/ MIT Prof. Jim Collins

Education in the AI Age: a Teacher Rethinks Learning & Purpose, w/ Johan Falk of Graspable AI

The Customer Service Revolution: Building Fin, with Eoghan McCabe & Fergal Reid of Intercom

In this episode of The Cognitive Revolution, Nathan Labenz interviews Eoghan McCabe and Fergal Reid from Intercom about their AI customer service agent, Fin. They discuss how Intercom stays current with AI, the importance of testing in production, and the pressure to be quick to market with new AI capabilities. They al...

Training an AI Scientist with Feedback from Reality, w- Liam Fedus & Ekin Dogus Cubuk (from a16z)

The Machines Are Taking Our Jobs - Thank God? Emad Mostaque’s Guide to the next 1000 Days

Stripe's Payments Foundation Model: How Data & Infra Create Compounding Advantage, w/ Emily Sands

Full-Stack AI Safety: Why Defense-in-Depth Might Work, with Far.AI CEO Adam Gleave

Can We Stop AI Deception? Apollo Research Tests OpenAI's Deliberative Alignment, w/ Marius Hobbhahn

User-Owned AI: On-Chain Training, Inference, and Agents, with NEAR's Illia Polosukhin

Coaching the Creators: Inside the Minds Building Frontier AI with Executive Coach Joe Hudson

Zvi Mowshowitz on Longer Timelines, RL-induced Doom, and Why China is Refusing H20s

Zvi Mowshowitz returns to The Cognitive Revolution to discuss the state of AI as of late 2025. He notes that timelines to AGI have modestly lengthened due to the lack of paradigm-shifting developments, despite on-trend progress in areas like IMO gold medals and GPT-5. Zvi expresses increased concern about AI safety due...

In-AI Advertising: Better Answers for Users, Big Questions for Society, with ZeroClick's Ryan Hudson

Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery

In this episode of The Cognitive Revolution, Nathan interviews Joseph Krause and Jorge Colindres, co-founders of Radical AI, about their work in automating materials science using AI and robotics. They discuss the challenges in traditional materials science, including high costs, long development times, and fragmentati...

Untangling Neural Network Mechanisms: Goodfire's Lee Sharkey on Parameter-based Interpretability

In this episode of The Cognitive Revolution, the host interviews Lee Sharkey, Principal Investigator at GoodFire, about their work on mechanistic interpretability, specifically focusing on parameter decomposition in neural networks. The discussion contrasts activation-based and parameter-based decomposition, highlighti...

Untangling Neural Network Mechanisms: Goodfire's Lee Sharkey on Parameter-based Interpretability

What if Humans Weaponize Superintelligence, w/ Tom Davidson, from Future of Life Institute Podcast

The Cognitive Revolution podcast presents a cross-post from the Future of Life Institute podcast, featuring Gus Docker interviewing Tom Davidson about the risk of AI-enabled coups. Tom argues that powerful individuals could use AI to seize power, rather than AI systems rising up independently. He outlines necessary AI ...

The AI Whistleblower Initiative: Supporting AGI Insiders When It Matters Most, w/ founder Karl Koch

Autonomous Organizations: Vending Bench & Beyond, w/ Lukas Petersson & Axel Backlund of Andon Labs

Dean W. Ball on America's AI Action Plan & 4 Months at the White House

Jake Sullivan on Navigating AI Uncertainty and Managing Competition with China