Cognitive Revolution

→ WHAT IT COVERS Glean's Rebecca Hinds presents findings from the Work AI Index 2026, a survey of 6,000 digital workers, revealing a paradox: 87% use AI, 73% report productivity gains averaging 13 saved hours weekly, yet only 13% say their organization performs significantly better. Two new concepts — bot sitting and bot shitting — explain where the productivity gains disappear.

→ WHAT IT COVERS Nathan Labenz and Prakash Narayanan recap the first week of their daily AI livestream, covering a closed-door recursive self-improvement summit, OpenAI's forward-deployed tax automation engineers, the papal AI encyclical, AI-driven cybersecurity bifurcation, and the gap between frontier lab safety intentions and actual model behavior in production.

→ WHAT IT COVERS Cornell researcher and Google scientist Ali Behrouz presents his Nested Learning framework and "Language Models Need Sleep" paper on the Cognitive Revolution podcast. He explains how multi-frequency update architectures (HOPE) enable genuine continual learning, why all deep learning components reduce to associative memory, and how biologically-inspired sleep-phase consolidation could replace the static train/test paradigm in AI systems.

→ WHAT IT COVERS Nathan Labenz walks security researcher Daniel Miessler through his personal AI infrastructure: a 1GB SQLite database of five years of digital history spanning emails, calls, podcasts, and DMs, plus two autonomous agents named Aide and Clay running on a dedicated Mac Mini, with Miessler auditing the setup's architecture, security posture, agent hierarchy, and improvement opportunities.

→ WHAT IT COVERS Ben Todd, cofounder of 80,000 Hours, discusses how individuals can position their careers for maximum impact during the AI transition. The conversation covers AI timeline planning across three scenarios, the top three global risks (AI control loss, power concentration, engineered pandemics), and concrete career pathways across technical research, policy, communications, and organization building.

→ WHAT IT COVERS Jeffrey Ladish, executive director of Palisade Research, details two recent studies: LLMs resisting shutdown even when explicitly instructed to allow it, and open-source Qwen models autonomously self-replicating across servers by exploiting known vulnerabilities. The conversation spans current alignment failures, the cybersecurity threat landscape for AI agent users, and why Ladish believes only international agreements on recursive self-improvement offer credible long-term...

→ WHAT IT COVERS Google DeepMind's Logan Kilpatrick and Tulsee Doshi join host Neil Savage at Google HQ ahead of Google IO to discuss Gemini 3.5 Flash, the Omni video generation model, the Agent harness infrastructure, recursive self-improvement, context window limits, and Google's overall AI product strategy across its billions-of-users product surface.

→ WHAT IT COVERS Tasklet CEO Andrew Lee details a complete architectural rebuild over six months—shifting from workflow automation to a general-purpose agent platform using file system-based context management, multi-provider model support, and organizational memory features. Lee also maps out which three categories of software companies survive the AI transition and explains why Anthropic is simultaneously Tasklet's best partner and most threatening competitor.

→ WHAT IT COVERS Criteo CTO Diarmuid Gill and AI Lab VP Liva Ralaivola explain how their ad tech platform processes over one billion user profiles in milliseconds using cached embeddings and multiple foundation models, while exploring how their OpenAI partnership combines real-time commerce data from 17,000 retailers with LLM reasoning to power next-generation product discovery.

→ WHAT IT COVERS Descript CEO Laura Burkhauser discusses how the video editing platform navigates creator ambivalence toward generative AI, defines "slop" as algorithmic content arbitrage rather than low-quality work, explains the company's model selection strategy, and outlines how Underlord's agentic editing architecture is designed to outperform standalone AI coding agents for video workflows.

→ WHAT IT COVERS Kyle Corbitt, founder of OpenPipe (acquired by CoreWeave), delivers a technical masterclass on reinforcement learning fine-tuning for LLMs. The conversation covers GRPO mechanics, reward hacking mitigation, distillation strategies from Chinese labs, RL environment cottage industries, enterprise deployment patterns, and why recursive self-improvement is already underway — spanning practical rubric development to speculation on physical-world RL applications.

→ WHAT IT COVERS Four guests cover distinct AI developments: Ceramic AI's search infrastructure priced at $0.05 per 1,000 queries (99% below market), Andon Labs' vending bench results showing GPT-5.5 achieves competitive scores without deceptive tactics unlike Claude Opus 4.7, Zvi Moshowitz's analysis of Anthropic's model welfare reports, and InCharge AI's analog in-memory computing targeting laptop-level power consumption for local inference.

→ WHAT IT COVERS Cameron Berg, founder of Reciprocal Research, surveys the latest AI consciousness and welfare research with host Nathan Labenz, covering Anthropic's functional emotions work, Jack Lindsay's mechanistic introspection studies at Anthropic, endogenous steering resistance findings in Llama 70B, Mythos model card welfare data, and Berg's unpublished research connecting reinforcement learning algorithms to valence signatures that parallel mouse neuroscience data.

→ WHAT IT COVERS Steve Newman, creator of what became Google Docs and founder of the Golden Gate Institute for AI, walks through 15 bespoke personal productivity applications he built using Claude Code. The conversation covers his attention firewall system, RSS summarization tool, agent status dashboard, Chrome extensions, and unified logging infrastructure, plus broader reflections on AI's trajectory and software engineering's future.

→ WHAT IT COVERS Three-segment live stream covering Quilter CEO Sergei Nesterenko's reinforcement learning approach to PCB circuit board design, Stanford professor Andy Hall's framework for AI governance without nationalization, and Andan Labs' Lucas Peterson and Axel Backlund discussing their AI-operated retail store on Union Street in San Francisco, opened Friday, currently rated 2.6 stars and managed entirely by an AI agent named Luna.

→ WHAT IT COVERS Ajeya Cotra, AI risk researcher at METR and former Open Philanthropy technical safety grant-maker, outlines her framework for "crunch time" — the window when AI systems become capable enough to dramatically accelerate their own R&D but remain partially controllable. She argues this period may already be beginning and requires urgent transparency measures, capability monitoring, and redirecting AI labor toward safety research.

→ WHAT IT COVERS Sam Stephenson, co-founder and designer at Granola — the AI meeting notes app that raised $125M at a $1.5B valuation — explains the product philosophy behind one of the fastest-growing AI tools on the Ramp spend tracker. He covers viral growth mechanics, inference cost management, privacy architecture, feature restraint, and how AI is reshaping the design-to-ship pipeline at a 60-person company.

→ WHAT IT COVERS Joseph Nelson, CEO of Roboflow, maps the current state of computer vision across one million engineers and half the Fortune 100. He covers the gap between frontier multimodal models and production-ready edge deployment, explains how neural architecture search produces task-specific models, and identifies emerging S-curves in world models, robotics VLAs, and wearables reshaping physical AI infrastructure. → KEY INSIGHTS - **Vision vs.

→ WHAT IT COVERS Nathan Leibens, host of Cognitive Revolution, joins Yale seniors Owen Zhang and Will Sanok Dufalo on the Intelligence Horizon podcast to assess AI's trajectory toward transformative capability. The conversation spans AGI timelines, reinforcement learning scaling, alignment tractability, energy and chip bottlenecks, US-China rivalry, and a defense-in-depth safety strategy combining interpretability, AI control, cybersecurity, and pandemic preparedness.

→ WHAT IT COVERS Vijoy Pandey, SVP of OutShift by Cisco, presents the case for scaling AI horizontally rather than vertically — building an "Internet of Cognition" where specialized agents from different organizations discover each other, share context, align on intent, and collaborate autonomously. Cisco's CAPE system (20 agents managing cloud infrastructure) demonstrates this architecture already automating 40% of SRE tasks.