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

Nathan Labenz, Erik Torenberg

natalie@turpentine.co

For verified host and producer emails, sign up to view.

Booking Overview

A biweekly interview podcast focused on artificial intelligence research, AI builders, model architectures, hardware, and real-world deployment, typically featuring founders, CEOs, and technical leaders from AI companies. Credible pitches include AI startup executives, machine-learning researchers, infrastructure and hardware innovators, and leaders deploying AI in engineering or enterprise settings; booking is likely high difficulty because guests are technically accomplished industry leaders.

Metrics

Episodes: 359

Frequency: Biweekly

Rating: 4.5/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 42.1k subscribers

Contact Information

natalie@turpentine.co

For verified host and producer emails, sign up to view.

Host

Nathan Labenz - AI entrepreneur and investor who co-hosts discussions with leading artificial intelligence builders, researchers, and company executives.

Erik Torenberg - Entrepreneur, investor, and founder of the Turpentine podcast network, focused on technology, business, and the future of work.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Founders, CEOs, senior technical executives, distinguished researchers, and domain leaders building or deploying advanced artificial intelligence systems.
Required Achievements:  
Founding or leading an AI company, Developing significant machine-learning research or model architectures, Launching AI products or infrastructure, Demonstrating production deployments with measurable industry impact

Recent Guest Discussions

Ramin Hasani - Liquid Neural Networks, Automated Foundation Model Design, Efficient Model Architectures, On-device Intelligence, And Hardware-aware Ai.

Thomas von Tschammer - Physics-aware AI, Ai-native Engineering, Simulation And Test Data, Automotive Design, Manufacturing Workflows, And Accelerated Product Development.

Recent Topics

Artificial Intelligence, Machine Learning, Ai Research, Robotics, Engineering

Episodes

Here's the recent few episodes on
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
:

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

July 12, 2026

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 that global coordination around safe AI use is no longer plausible, so the crucial question is whether aligned AI systems can recognize shared notions of good, form defensive coalitions, and resist the corrupting incentives of verifier-gamed RL. ...

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

July 09, 2026

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 of what current probes can see. The episode then moves through Prakash’s AI Engineer World’s Fair field notes, Pangram AI-writing detector experiments, Dan Schwarz of FutureSearch on past-casting and AI superforecasting, Zeev Farbman on open world...

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

July 04, 2026

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 Foundation Model Design, he explains why efficient, hardware-aware architectures can look very different from frontier-scale attention models. The conversation centers on device-native foundation models for phones, laptops, cars, and wearables, including ...

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