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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
Artificial General Intelligence
AI Alignment
AI Agents
AI Development
AI Models
China
AI In Biology
Biosecurity
AGI
Large Language Models
AI Research
Ethics Of AI
Cybersecurity

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 weeklyEpisodes341Founded3 years ago
Number of ListenersCategories
EntrepreneurshipBusinessTechnology

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Artwork for "The Cognitive Revolution"

Latest Episodes

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 discuss why per... more

YouTube

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 understanding mat... more

YouTube

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 techniques can im... more

YouTube

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 on Opus 4.... more

YouTube

Key Facts

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Recent Guests

Kyle Corbitt
RL expert, founder of OpenPipe, now leading serverless training at CoreWeave
CoreWeave / OpenPipe
Episode: The RL Fine-Tuning Playbook: CoreWeave's Kyle Corbitt on GRPO, Rubrics, Environments, Reward Hacking
Anna Patterson
Founder and CEO of Ceramic AI (former Google VP of Engineering)
Ceramic AI
Episode: AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute
Naveen Verma
Princeton Professor of Electrical Engineering and Co-Founder/CEO of EnCharge AI
EnCharge AI
Episode: AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute
Cameron Berg
AI consciousness researcher, founder of Reciprocal Research
Reciprocal Research
Episode: Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research
Andy Hall
Professor of Political Economy at Stanford GSB
Stanford University
Episode: Welcome to AI in the AM: RL for EE, Oversight w/out Nationalization, & the first AI-Run Retail Store
Lukas Peterson
From Andon Labs, AI-powered retail and vending machine initiatives
Andon Labs
Episode: Welcome to AI in the AM: RL for EE, Oversight w/out Nationalization, & the first AI-Run Retail Store
Ajeya Cotra
Senior AI safety researcher and strategist; former Open Philanthropy technical AI safety grantmaker; currently involved in risk assessment initiatives
Coefficient Giving / METER (as described in episode)
Episode: It's Crunch Time: Ajeya Cotra on RSI & AI-Powered AI Safety Work, from the 80,000 Hours Podcast
Sam Stephenson
Co-founder and designer at Granola
Granola
Episode: Calm AI for Crazy Days: Inside Granola's Design Philosophy, with co-founder Sam Stephenson
Joseph Nelson
CEO of Roboflow, a computer vision platform
Roboflow
Episode: Training the AIs' Eyes: How Roboflow is Making the Real World Programmable, with CEO Joseph Nelson

Hosts

Nathan Labenz
Host and co-founder of The Cognitive Revolution, exploring AI advancements and their broader impacts.
Erik Torenberg
Co-host and thought leader, engaging in deep discussions about the implications of AI.

Reviews

4.7 out of 5 stars from 280 ratings
  • 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
    6 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 States6 months ago
  • Annoying

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

    Apple Podcasts
    1
    prophack
    United Kingdom7 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 States8 months ago
  • Way to many sponsors

    I had to stop listening because it feels like there are more sponsors than content. Too bad, it looked like an interesting podcast. I support sponsoring, but there is a limit.

    Apple Podcasts
    3
    pluckedrh
    Germanya year ago

Listeners Say

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

Covers timely topics in a thought-provoking manner that resonates with listeners interested in AI advancements.
The hosts are knowledgeable but occasionally dominate discussions, limiting guest contributions.
Insightful and informative content that keeps listeners engaged with varying perspectives on AI.

Chart Rankings

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

Apple Podcasts
#132
United States/Technology
Apple Podcasts
#41
United Kingdom/Technology
Apple Podcasts
#173
Canada/Technology
Apple Podcasts
#67
Australia/Technology
Apple Podcasts
#152
Germany/Technology
Apple Podcasts
#174
Italy/Technology

Talking Points

Recent interactions between the hosts and their guests.

Welcome to AI in the AM: RL for EE, Oversight w/out Nationalization, & the first AI-Run Retail Store
Q: How does Quilter's reinforcement learning reward structure work for PCB routing?
Quilter focuses on constructing high-quality, human-aligned environments and fast, conservative reward functions that reflect topology and parasitics rather than brute-force optimization, using fast approximations before full-wave simulations.
Vibe-Coding an Attention Firewall, w/ Steve Newman, creator of The Curve
Q: How do you handle security and data ownership when using AI across your tools?
He emphasizes a cautious, iterative approach, maintaining personal data control, careful access provisioning, and a rubric-driven method to determine when to grant AI access versus handling tasks manually.
Vibe-Coding an Attention Firewall, w/ Steve Newman, creator of The Curve
Q: Tell me what you're building today and how it fits with your long career in software.
Steve describes a suite of personal productivity tools built around Claude-based agents, an Attention Firewall, and a network of micro-apps and data integrations designed to manage information overload and automate context-aware tasks across multiple projects.
Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research
Q: How do introspection and welfare research relate to real-world AI deployment?
Introspection studies (like Mechanisms of Introspective Awareness) show that models can reflect on their own states, but the results are nuanced and not a simple yes/no about consciousness; welfare research (model welfare reports) raises questions about how a model feels about its state and how that should influence deployment and policy.
Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research
Q: What definitions are most important to ground the conversation about consciousness?
Consciousness is framed as the capacity for subjective experience, with a clear distinction between mere computation, self-awareness, and sentience, which includes the presence of valence or emotions that can be positive or negative.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
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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?

The discussions range across a variety of topics, primarily centered on advancements and implications of artificial intelligence (AI) in diverse fields such as healthcare, cybersecurity, and the philosophical aspects of AI systems. Notable subjects include AI's role in cancer treatment, automated digital forensics, and decentralized computing, emphasizing how AI not only transforms industries but also raises ethical and societal questions. This podcast is distinctive in its deep exploration of both technical and theoretical dimensions of AI, making it a valuable resource for anyone interested in understanding the broader implications of this technology on society and individual lives.

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3. Practical AI
4. Training Data
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"The Cognitive Revolution" launched 3 years ago and published 341 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. Kyle Corbitt
2. Anna Patterson
3. Naveen Verma
4. Cameron Berg
5. Andy Hall
6. Lukas Peterson
7. Ajeya Cotra
8. Sam Stephenson

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