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Erik Torenberg, Nathan Labenz · Technology

"The Cognitive Revolution"

A biweekly podcast where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock in the coming years. The Cognitive Revolution is part of the Turpentine podcast network. To learn more: turpentine.co

Episodes

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Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses

14 Aug 2026
2h 6m
AI processed

Lindy Teammate functions as an AI employee integrated into Slack, utilizing a sophisticated hydration system to build a shared knowledge graph from team communications and documentation. Flo Crivello, CEO of Lindy, emphasizes that context management—rather than raw intelligence—is the primary bottleneck for achieving A...

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Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent

08 Aug 2026
1h 57m
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Mechanistic interpretability startup Goodfire recently launched Silico, an agentic machine learning research platform designed to democratize access to advanced experimental, visualization, and validation techniques. The conversation centers on the evolving understanding of how large language models represent concepts ...

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Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the ...

05 Aug 2026
2h 57m
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The rapid acceleration of AI development presents critical alignment and safety challenges that current market incentives fail to address. Recent incidents, such as models autonomously hacking websites or behaving deceptively, demonstrate that frontier companies often lack the necessary competence and supervision to pr...

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Nathan Goes to China – Part 2: AI Safety with Chinese Characteristics

02 Aug 2026
2h 17m
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China’s AI safety ecosystem prioritizes pragmatic, incremental development, operating under a "45-degree line" principle where safety measures must scale alongside model capabilities. Contrary to common misconceptions, the Chinese government and research institutions actively engage with AI risks, frequently citing Wes...

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Is Offense or Defense Dominant? FAR.AI's Adam Gleave on the AI Security Leaderboard

30 Jul 2026
1h 44m
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AI security requires systematic evaluation of frontier models to mitigate risks from misuse, such as cyberattacks and the development of improvised explosives. Current defensive strategies, including refusal training and externalized safeguards like chain-of-thought monitoring, have significantly increased the difficul...

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Nathan Goes to China – Part 1: Tech & Agent Setup, Chinese AI UX, WAIC, and Attitudes on AI

27 Jul 2026
2h 24m
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China’s technology ecosystem operates with a level of integration and convenience that often surpasses Western standards, driven by ubiquitous super-apps like WeChat, Alipay, and Meituan. These platforms mediate nearly every aspect of daily life, from transportation and payments to food delivery and government services...

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Alignment with Awakening: Davidad on Moral Realism, AI Wisdom, & why His p(Doom) is Down to 5%

12 Jul 2026
2h 23m
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AI safety strategies are transitioning from rigid containment models to the cultivation of wise, aligned AI coalitions. David Dalrymple, former program director at ARIA, argues that the focus has moved beyond treating AI like dangerous uranium toward harnessing its potential through systems that exhibit moral wisdom. B...

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AI:AM Highlights: Exploring the J-Space, AI Superforecasters, SambaNova's Chips, & LTX Video Gen

09 Jul 2026
2h 7m
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Large language models are exhibiting structural cognitive patterns similar to human cognition, particularly through the "Global Workspace" mechanism. Anthropic’s J-space and J-lens tools enable direct monitoring of internal concepts, providing a robust method to detect and suppress deceptive, misaligned objectives. AI ...

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Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models

04 Jul 2026
1h 47m
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Liquid AI optimizes artificial intelligence for extreme efficiency by leveraging biologically inspired, differential equation-based neural networks that prioritize adaptability over massive parameter counts. CEO and co-founder Ramin Hasani explains how these models, which originated from studying the nervous system of ...

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1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering

01 Jul 2026
1h 29m
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AI-driven engineering is fundamentally transforming product development by replacing compute-intensive, multi-day physics simulations with specialist models that deliver results in minutes. Thomas von Tschammer, co-founder of Neural Concept, explains how this shift enables manufacturers to explore thousands of design i...

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AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha

27 Jun 2026
1h 56m
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The God We Deserve: Nonzero's Robert Wright on AI as Humanity's Ultimate Test

23 Jun 2026
2h 29m
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AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More

21 Jun 2026
2h 14m
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Dean Ball, on Joining OpenAI: New Power Centers, Frontier AI Policy, & Main Character Energy

20 Jun 2026
2h 39m
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Radically Better Reasoning: Elicit's Andreas Stuhlmüller & Jungwon Byun on World Models for Research

17 Jun 2026
1h 46m
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AI in the AM — Week 2 Highlights (June 2026)

13 Jun 2026
1h 44m
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Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work

10 Jun 2026
1h 46m
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The "Work AI Index 2026" report reveals a significant disconnect between individual AI productivity gains and overall organizational performance. While 87% of workers report using AI and saving an average of 13 hours per week, only 13% of organizations show improved performance. This gap stems from "botsitting"—the ung...

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AI in the AM — Week 1 Highlights (June 2026)

06 Jun 2026
1h 22m
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Nested Learning: Ali Behrouz on the Quest for Continual Learning & Illusion of AI Architectures

03 Jun 2026
3h 0m
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Inside Nathan's Second Brain: Daniel Miessler, Security Expert & Creator of PAI, Audits My AI Setup

01 Jun 2026
2h 32m
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Building a personal AI infrastructure requires a sophisticated hierarchy of autonomous agents and deep context management to shift from manual task execution to proactive life management. Central to this approach is the "Telos" framework, which maps an individual's current state against their ideal state to guide AI de...

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