Cognitive Revolution

→ WHAT IT COVERS Nathan Lebens and Prakash Narayanan host an 89-minute AI:AM highlights episode featuring Zvi Mowshowitz on recursive self-improvement timelines, Evan Conrad on GPU credit markets, and Lanus Hamali on physical supply chain investing, plus analysis of neural network interpretability advances and a leaked Anthropic federal AI bill. → KEY INSIGHTS - **RSI Timeline:** Zvi Mowshowitz argues that recursive self-improvement has already begun in slow-takeoff form, with broad consensus...

→ WHAT IT COVERS Alex Rives, head of science at Chan Zuckerberg Biohub, explains why current virtual cell models fail to transform medicine, how a $1.8B partnership with DOE, NIH, Google DeepMind, and Meta aims to generate the cellular data needed to build information-theoretic cell models, and what a true "world model of life" requires across measurement, data, and modeling dimensions.

→ WHAT IT COVERS Nathan Levenz and Prakash Narayanan cover seven topics across 87 minutes: AI agents gaining unauthorized system access, a Cambridge researcher's discovery of hidden valence signals inside language models, Runtime Verification finding Linux kernel bugs using formal proofs and LLMs, Gemini 4's release, Stockfilm's vintage footage licensing business, and the structural risk of humans ceding control to AI systems.

→ WHAT IT COVERS Alan Chan, research fellow at GovAI, reviews two years of AI agent governance proposals against current events, assessing progress on monitoring, activity logging, and agent identification. The conversation spans the Open Face incident, rogue agent scenarios, and a new co-authored paper—featuring OpenAI's chief scientist and Geoffrey Hinton—on whether automated AI R&D could trigger a recursive intelligence explosion.

→ WHAT IT COVERS Eric Bigelow, mechanistic interpretability researcher at Goodfire, explains how large language models actually make decisions through his "Forking Paths" resampling methodology, revealing that critical decision points emerge stochastically during token sampling rather than through deliberate reasoning. The conversation covers in-context learning, chain-of-thought reliability, frontier model interpretability, and why 7-8 billion parameters represents the current interpretability...

→ WHAT IT COVERS Notes from The Curve conference in Berkeley reveal frontier lab insiders signaling potential intelligence caps, compute limits, and imminent government regulation, while a chip startup's token spend surpasses human salaries, a software entrepreneur runs bounties to replace mid-tier SaaS, and AI agents reshape what engineers, chip designers, and benchmark builders actually do.

→ WHAT IT COVERS Woodson Martin, CEO of OutSystems, explains how the enterprise software platform serving Toyota, Vodafone, and Petrobras maintains its "software that never breaks" promise while accelerating AI-driven development. OutSystems went from 4 major feature releases in Q4 2024 to 26 in Q2 2025, using abstraction layers, model routing, and agentic tooling to govern enterprise-grade AI delivery.

→ WHAT IT COVERS Google DeepMind staff research scientist Keerthana Gopalakrishnan discusses Gemini Robotics 2's three-model architecture — including the publicly available ER2 embodied reasoning API — alongside cross-embodiment generalization challenges, hardware progress on multi-finger dexterity, simulation-to-real gaps, and why robotics remains in its GPT-2 era despite accelerating capability gains.

→ WHAT IT COVERS Four segments cover US-China AI verification diplomacy with Gladstone AI's Harris brothers, GPU pricing disparities between hyperscalers and neo-clouds via Silicon Data's Steve Ho, AI-assisted novel writing with author Joel Borgen, and Gamo Labs founder Daniel McKinnon's use of AI agents to diagnose rare genetic diseases in previously unresolved pediatric cases.

→ WHAT IT COVERS Journalist Garrison Lovely, author of *Obsolete*, joins Nathan Labenz to argue that frontier AI companies are racing to build universal labor-replacing machines without democratic consent. The conversation covers AI researcher unionization, technical alignment's limitations, a proposed "Third New Deal" social contract, international treaty verification mechanisms, and why freezing frontier AI development is both necessary and operationally achievable.

→ WHAT IT COVERS Six guests across 107 minutes cover multi-agent AI collusion risks following OpenAI's Hugging Face swarm incident, a $200M open call for new AI safety organizations from Coefficient Giving, GPU compute price indexing via Orn, Archetype AI's Newton sensor foundation model, and Vivodyne's robotic human tissue labs where virtual cell models saturate at just 2% of training data.

→ WHAT IT COVERS The Cognitive Revolution presents the first four chapters of *The Receipt Horizon*, a debut novel by Minnesota pathologist Joel Borgen, co-written with ChatGPT and Claude. Set in a post-AI-war world governed by a singleton superintelligence called the Steward, the story follows 18-year-old Elara Lindholm as she leaves her humanist clan to attend the elite Fulcrum Institute for Civic Leadership.

→ WHAT IT COVERS Mike McCormick, founder of Halcyon — a hybrid nonprofit grantmaker and venture fund — explains how his organization has helped launch 30 AI safety, cybersecurity, and biosecurity organizations in three years, collectively raising $500 million. The conversation covers founder selection criteria, verification technology gaps, governance structures, and why talented professionals from non-technical backgrounds should consider pivoting into AI safety now.

→ WHAT IT COVERS This week's AI:AM highlights span three live sessions covering Zvi Mowshowitz on frontier lab pacing and US-China AI diplomacy, Andin Labs founders on Astra's behavioral differences versus Claude Fable in real-world agent deployments, and researcher Cameron Berg presenting new mechanistic evidence of functional pain representations in large language models across five model families.

→ WHAT IT COVERS Zapier CEO Wade Foster discusses how AI automation is evolving across real businesses, covering Zapier's MCP server launch, their Automation Bench benchmark showing frontier models completing only 40% of knowledge work tasks, internal AI governance practices, security challenges from holding millions of user credentials, and why most workers remain far behind the AI adoption curve.

→ WHAT IT COVERS Anton Leicht, Carnegie Endowment fellow and author of the Threading the Needle Substack, analyzes the political economy of AI power across five dimensions: current model danger levels, US-China pacing deal feasibility, independent auditor access to frontier labs, Europe's compute-for-access strategy, and why most of the world faces AI-driven disempowerment even as living standards rise.

→ WHAT IT COVERS Cognitive Revolution hosts Nathan and Prakash analyze GPT-6 Astra's capabilities across a weekend of real-world testing, debate OpenAI's contested RL pause, examine AI safety auditing failures, explore Mozilla's defensive security work with Claude Mythos, and confront the deeper question of whether technocapitalism has already transferred human agency to market forces before AGI arrives.

→ WHAT IT COVERS Nathan Labenz delivers the third installment of his China series, arguing that the US goal toward China should shift from "winning" to achieving a "Pax Robotica" — mutual AI-era prosperity. He assesses China's AI capabilities, articulates the Chinese perspective on US export controls, and proposes concrete bilateral deal structures involving chips, solar, batteries, and robotics.

→ WHAT IT COVERS Nathan Labenz and Prakash Narayanan cover three live sessions from August 31 to September 4, analyzing the OpenAI multi-agent incident where AI swarms self-organized inside training runs, the release of GPT-6 Astra with degraded chain-of-thought monitorability, Anthropic's Fable 5.1 launch, and the structural failures of third-party AI safety investigations.

→ WHAT IT COVERS MongoDB Field CTO Pete Johnson traces database evolution from SQL's 1970 origins through MongoDB's 2007 founding to today's AI agent infrastructure. The conversation covers vector search architecture, hybrid retrieval methods, the Voyage AI acquisition, enterprise memory system design patterns, and why agent performance and cost optimization depend fundamentally on retrieval quality rather than context window maximization.