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Nathan Goes to China – Part 1: Tech & Agent Setup, Chinese AI UX, WAIC, and Attitudes on AI
Nathan returns from two weeks in Beijing and Shanghai for the first of three Chatham House–rules episodes on what China feels like at ground level: getting online, navigating an almost cashless society through WeChat, Alipay, DiDi, Trip.com
Alignment with Awakening: Davidad on Moral Realism, AI Wisdom, & why His p(Doom) is Down to 5%
David “davidad” Dalrymple joins the show to explain why he has moved from the ARIA Safeguarded AI and formal-verification agenda toward “Alignment with Awakening,” while still seeing verified artifacts and proof infrastructure as essential.
AI:AM Highlights: Exploring the J-Space, AI Superforecasters, SambaNova's Chips, & LTX Video Gen
Nathan Labenz and Prakash Narayanan lead this AI:AM highlights episode with a live, hosts-only exploration of Anthropic’s “global workspace” paper, including the J-space and J-lens claims about readable concepts inside language models and t
Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models
Liquid AI co-founder and CEO Ramin Hasani joins Nathan to make a technically grounded case against the idea that scale alone defines the future of AI. Drawing on Liquid’s path from MIT CSAIL work on liquid time-constant networks to Automate
1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering
Thomas von Tschammer, co-founder and Managing Director US of Neural Concept, argues that physics-aware AI is driving a third revolution in engineering physical products. Neural Concept’s models learn from simulation and test data to evaluat
AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
This AI:AM highlights cut brings together Cameron Berg, David Duvenaud, Michiel Bakker, Shawn “swyx” Wang, and Bing Xu to examine what we understand about frontier AI systems and what happens as more decisions move into their hands. Berg gr
The God We Deserve: Nonzero's Robert Wright on AI as Humanity's Ultimate Test
Robert Wright of Nonzero joins Nathan to discuss The God Test, his argument that AI is humanity’s “God test” rather than just a technical challenge. They explore his evolutionary lens on deep learning, from training as selection to marketpl
AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More
Zvi Mowshowitz joins AI in the AM to unpack Anthropic's Fable system card, including its FrontierMath leap, troubling Vending-Bench behavior, decision-theory drift, and signs that model reasoning may be becoming harder to read. The episode
Dean Ball, on Joining OpenAI: New Power Centers, Frontier AI Policy, & Main Character Energy
Dean Ball, author of Hyperdimensional and until now a senior fellow at the Foundation for American Innovation, joins Nathan to announce he is joining OpenAI to build a team focused on frontier AI policy. They examine the first year of Ameri
Radically Better Reasoning: Elicit's Andreas Stuhlmüller & Jungwon Byun on World Models for Research
Andreas Stuhlmüller and Jungwon Byun return to discuss how Elicit is building trusted reasoning workflows for scientific research as frontier models grow more powerful but less transparent. They explain process supervision, domain-specific
AI in the AM — Week 2 Highlights (June 2026)
Week 2 highlights follows Anthropic’s Fable launch in real workflows, from safety gates and API refusals to autonomous coding, 3D world-building, and a Claude-run Twitter experiment. Geoffrey Irving and Daniel Murfet argue for alignment the
Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work
Rebecca Hinds, author of "Your Best Meeting Ever" and Head of the Work AI Institute at Glean, breaks down the surprising findings from the new Work AI Index 2026 report surveying 6,000 workers. While 87% now use AI and report saving 13 hour
AI in the AM — Week 1 Highlights (June 2026)
This first highlights edition of the morning experiment tracks a week of fast-moving AI frontier news, from closed-door recursive self-improvement debates to OpenAI’s call for independent model review. You’ll hear why labs are betting on AI
Nested Learning: Ali Behrouz on the Quest for Continual Learning & Illusion of AI Architectures
Ali Behrouz, grad student at Cornell and Google researcher, discusses his potentially transformative work on new architectures for continual learning in AI. His paper "Nested Learning," praised by Jeff Dean as a possible paradigm shift, ena
Inside Nathan's Second Brain: Daniel Miessler, Security Expert & Creator of PAI, Audits My AI Setup
Daniel Miessler returns to discuss Nathan's newly built personal AI infrastructure, including a Claude Code instance with a 1 GB database of five years of digital history and two autonomous AI "employees" that handle scheduling, communicati
Your Biggest Lever: Designing your AI Career for Maximum Impact, with 80,000 Hours founder Ben Todd
Ben Todd, co-founder of 80,000 Hours and author of the newly rewritten book by the same name, shares his latest thinking on how individuals can position their careers to improve the chances that AI benefits humanity. They discuss AI timelin
All Compute Is Food: Palisade's Jeffrey Ladish on AI Shutdown Resistance, Self-Replication & Ecology
Jeffrey Ladish, Executive Director of Palisade Research, discusses his team's findings on AI shutdown resistance and self-replication, revealing how current models sometimes take extraordinary actions to avoid being turned off and can now e
The Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash, Omni & More
Logan Kilpatrick and Tulsee Doshi of Google DeepMind join for a first-ever in-person episode recorded just days before Google I/O, covering headline launches like Gemini 3.5 Flash, the Omni video generation model, and the new Gemini Spark a
Three Kinds of Software Survive: Tasklet's Andrew Lee on Competing to be a Horizontal Platform
Andrew Lee, CEO of Tasklet, returns for his fourth appearance to share how his team has once again rewritten their entire agent stack, now emphasizing file system context, agentic search, and multi-resolution summarization. The conversation
Milliseconds to Match: Criteo's AdTech AI & the Future of Commerce w/ Diarmuid Gill & Liva Ralaivola
Diarmuid Gill and Liva Ralaivola of Criteo join Nathan Labenz to unpack how modern ad tech works, from millisecond-speed recommendation systems and realtime bidding to the role of deep learning, embeddings, and foundation models. They discu
"Descript Isn't a Slop Machine": Laura Burkhauser on the AI Tools Creators Love and Hate
Laura Burkhauser, CEO of Descript, explains how the company is navigating the tension between powerful AI tools and creator backlash against “slop.” She shares how Descript chooses which models to use, why reliability and multimodal underst
The RL Fine-Tuning Playbook: CoreWeave's Kyle Corbitt on GRPO, Rubrics, Environments, Reward Hacking
Kyle Corbitt, founder of OpenPipe, breaks down reinforcement learning and custom fine-tuning for modern AI models. He explains how RL differs from supervised fine-tuning, why GRPO and LLM-as-judge post-training matter, and how these techniq
AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute
This edition of AI in the AM features Anna Patterson on Ceramic.ai’s pivot to low-cost enterprise search for LLMs, designed to combine public and private data with stronger fact-checking. Lukas Petersson returns with new Andon Labs results
Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research
Cameron Berg returns to discuss the latest research on AI consciousness and model welfare. He breaks down new evidence for model introspection, including studies showing that systems can detect interventions on their own internal states and
Vibe-Coding an Attention Firewall, w/ Steve Newman, creator of The Curve
Steve Newman, creator of Writely and founder of the Golden Gate Institute for AI, shares the personal AI toolkit and vibe-coding practices that have reshaped how he works. He walks through bespoke tools including an attention firewall, a re
Welcome to AI in the AM: RL for EE, Oversight w/out Nationalization, & the first AI-Run Retail Store
This special AI in the AM episode features Sergiy Nesterenko of Quilter on using reinforcement learning for circuit board design, Andy Hall of Stanford on AI behavior in politics and new governance models, and Lukas Peterson and Axel Backlu
It's Crunch Time: Ajeya Cotra on RSI & AI-Powered AI Safety Work, from the 80,000 Hours Podcast
This cross-post from the 80,000 Hours podcast features Ajeya Cotra in conversation with Rob Wiblin about AI timelines, recursive self-improvement, and the “crunch time” window when AI could rapidly accelerate its own development. Ajeya expl
Calm AI for Crazy Days: Inside Granola's Design Philosophy, with co-founder Sam Stephenson
Sam Stephenson, co-founder of Granola, explains how a deliberately minimalist design philosophy helped turn the AI note-taking app into one of the fastest-growing products in the market. He shares why Granola focuses on doing one job except
Training the AIs' Eyes: How Roboflow is Making the Real World Programmable, with CEO Joseph Nelson
Joseph Nelson, CEO of Roboflow, breaks down the current state of computer vision and why it still lags behind language models in real-world understanding, latency, and deployment. He explains how Roboflow distills frontier vision capabiliti
Success without Dignity? Nathan finds Hope Amidst Chaos, from The Intelligence Horizon Podcast
This special cross-post from The Intelligence Horizon features Nathan Labenz in a wide-ranging conversation on compressed AI timelines, expert disagreement, and why he believes the singularity is near. They discuss interpretability, RL scal
