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Artwork for "The Cognitive Revolution"

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Erik Torenberg, Nathan Labenz
Artificial Intelligence
AI Safety
Openai
Machine Learning
Reinforcement Learning
AI Ethics
AI Governance
AI Alignment
Artificial General Intelligence
AI Agents
AI Development
AI Models
AI In Biology
Biosecurity
Large Language Models
China
AI Research
Ethics Of AI
Cybersecurity
RAISE Act

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

PublishesTwice weeklyEpisodes359Founded3 years ago
Number of ListenersCategories
BusinessEntrepreneurshipTechnology

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Artwork for "The Cognitive Revolution"

Latest Episodes

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. He argues... more

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 the limits ... more

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 Automated Foundati... more

YouTube

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 evaluate 3D desig... more

YouTube

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Recent Guests

Ramin Hasani
CEO and co-founder of Liquid AI
Liquid AI
Episode: Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models
Thomas von Tschammer
Co-Founder and US Managing Director, Neural Concept
Neural Concept
Episode: 1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering
David Duvenaud
Machine learning professor; co-writer of Gradual Disempowerment
University of Toronto / Google Anthropic staff (historical)
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Michiel Bakker
Google DeepMind researcher; MIT Professor; co-author of Europe 2031
Google DeepMind / MIT
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Swyx (Shawn Wang)
Latent Space founder; AI engineer; advisor to Cognition
Latent Space / Cognition
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Robbie Goldfarb
Co-founder and CTO of Forum AI; expert in AI judgments and benchmarks
Forum AI
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Erik Vaughn
CEO of Ignite Tech; AI-focused organizational leadership
Ignite Tech
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Bing Xu
Co-creator of MXNet; runs self-improving infrastructure projects
MXNet / self-improving infrastructure ventures
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
Trisha Martinez
Executive at DAPL on sovereign AI infrastructure
DAPL
Episode: AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha

Hosts

Nathan Labenz
Host of The Cognitive Revolution; engages with AI builders and researchers on strategy, risk, and practical deployment.
Erik Torenberg
Co-host known for deep-dive questions and framing discussions around AI progress, governance, and business impact.

Reviews

4.6 out of 5 stars from 282 ratings
  • Solid podcast: Nathan is an articulate and engaging host, and his guests are interesting and intellectually diverse.

    Podcast Addict
    5
    stafforini
    23 days ago
  • As a specialist of education, I can say that this episode presents no interest for learners, educators or school administrators in any fashion. Anecdotes, figures and graphs. Save precious time and give it a miss.

    Podcast Addict
    1
    alpha
    8 months ago
  • The best AI episode I’ve ever listened. Full stop

    I listen to AI podcasts all of the time and I have never written a review. The most recent episode on how Nathan is using AI to help his son is the best episode on artificial intelligence that I’ve ever listened to. Nathan, first and foremost, your son is in all of our prayers. A distant but important second is that your podcast is an extremely important and nuanced conversation about the benefits and risks of AI.

    Apple Podcasts
    5
    SonnetTokenCruncher
    United States8 months ago
  • Annoying

    Possibly the most annoying voice of any I’ve listened to

    Apple Podcasts
    1
    prophack
    United Kingdom9 months ago
  • Always Great, Zvi needs a mic!

    Always valuable conversations. Zvi is on enough that I think Turpentine should buy him a mic! We want to really hear what he has to say. Love the show.

    Apple Podcasts
    5
    UnhappyMarinersFan
    United States10 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

audiences appreciate practical insights into real-world deployments and governance discussions.
Some criticize the host for talking too much at times, preferring guests to have more room to contribute.
Common feedback highlights the quality of guests and the value of technical depth for decision-makers.
Listeners consistently praise the depth and breadth of AI coverage and guests.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#85
United States/Technology
Apple Podcasts
#62
United Kingdom/Technology
Apple Podcasts
#143
Canada/Technology
Apple Podcasts
#69
Australia/Technology
Apple Podcasts
#139
Germany/Technology
Apple Podcasts
#175
France/Technology

Talking Points

Recent interactions between the hosts and their guests.

Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work
Q: What is bot sitting and why does it matter?
Bot sitting is the ongoing manual labor of feeding context, debugging, and managing AI outputs; it is a major portion of time savings and a key bottleneck that can undermine perceived ROI if not managed with proper context and incentives.
Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work
Q: How does Glean's Work AI Index 2026 collect its data?
The index blends a large survey of 6,000 knowledge workers across the US, UK, and Australia with aggregated, anonymous telemetry from the Glean platform, allowing triangulation between subjective responses and objective usage patterns.
Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work
Q: What is your expectation for AI timelines and the nature of future AI work?
Rebecca suggests AI progress will be long and iterative, with significant human-centric change management. The main takeaway is that the human piece—context, culture, and organization design—will determine whether productivity gains translate into real business performance.
Inside Nathan's Second Brain: Daniel Miessler, Security Expert & Creator of PAI, Audits My AI Setup
Q: Could I have an AI service, sort of a booking producer for the podcast, and do that without me having to approve every outbound email?
The guest explains that he uses a tiered approach with high-level goals and some automation, but he still wants human oversight for key decisions and uses structured prompts to govern when and how autonomous actions are taken, while exploring how far automation can safely go.
Nested Learning: Ali Behrouz on the Quest for Continual Learning & Illusion of AI Architectures
Q: What are the main safety and alignment concerns with continual learning, and how might they be mitigated?
Continual learners can drift in alignment as they update over time; mitigating requires careful design of knowledge transfer across levels, human-in-the-loop feedback, and dreaming mechanisms that prune or distill updates to preserve core values and avoid runaway behavior.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Frequently Asked Questions About "The Cognitive Revolution"

What is "The Cognitive Revolution" about and what kind of topics does it cover?

A biweekly show that spotlights the people building AI on the edge while unpacking the dramatic shifts likely to reshape business and society. Guests range from AI researchers and engineers to policy-minded thinkers and industry practitioners, with recurring focus on AI agents, safety and governance, real-world deployments, and the economics of next-generation models. The conversations mix technical depth with practical implications for startups, publishers, advertisers, and tech-enabled enterprises, often featuring live analyses of current systems, platform strategies, and interoperability across tools and providers. A standout is the blend of hands-on engineering insight with big-picture governance and strategic bets, making it valuable f... more

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1. No Priors: Artificial Intelligence | Technology | Startups
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3. Practical AI
4. Machine Learning Street Talk (MLST)
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How many episodes of "The Cognitive Revolution" are there?

"The Cognitive Revolution" launched 3 years ago and published 359 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on "The Cognitive Revolution"?

Recent guests on "The Cognitive Revolution" include:

1. Ramin Hasani
2. Thomas von Tschammer
3. David Duvenaud
4. Michiel Bakker
5. Swyx (Shawn Wang)
6. Robbie Goldfarb
7. Erik Vaughn
8. Bing Xu

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