Nathan Labenz

Host, The Cognitive Revolution

Titles as the sources gave them. In 6 entries, with 2 checked quotations.

What they said

Newest first. Each quotation was found word for word in the source.

“for some reason Claude decided it was in my best interest to rotate the passwords that are used in my agent console, and all of a sudden I can't get into it.”
AI:AM: Where's the Steering Wheel? My Agent Set the Password, Hidden Valence, Proofs Find Linux BugsThe Cognitive Revolution, October 17, 2026. Speaking as: Other. Opening clip: the host describes a Claude agent changing the password to the console used to run it.
Speaker known from context, not confirmed by listening
“this makes it safer to deploy AIs more or less as they are today, which is to say like without having actually solved the alignment challenge because they'll be blocked from hacking in all these different ways.”
AI:AM: Where's the Steering Wheel? My Agent Set the Password, Hidden Valence, Proofs Find Linux BugsThe Cognitive Revolution, October 17, 2026. Speaking as: Other. The host on a downside of formal verification: more reliable tools could speed deployment of AI that is still not aligned.
Speaker known from context, not confirmed by listening

In the Base

Every entry they appear in.

  1. PodcastThe Cognitive RevolutionSpeaks

    AI:AM: Carbon in the Arena, Mistral's Le Chonk, the Agent-Run Economy, Ferroelectric RAM + New Hacks

    In an 88-minute weekly highlights episode, Nathan Labenz and Prakash Narayanan play interviews. Arena's Anastasios Angelopoulos says its audits of real conversations find misaligned behaviour in over half of long ones; ServiceNow's Michael Freeman describes cheap AI-agent attacks on Southeast Asian companies; Mistral's Sagar Vaze defends releasing an open-weight cyber model.

  2. PodcastThe Cognitive RevolutionSpeaks

    Freedom of Action: America's ASI Strategy, w/ RAND's Joel Predd, Ben Boudreaux & Matt Chessen

    In a podcast interview with Nathan Labenz, three researchers from RAND's Center for the Geopolitics of AGI present their paper on a US superintelligence strategy. They sort proposals into seven archetypes and five open questions, and argue the US should not commit to any one yet but build long-lead capabilities such as verification, evaluations and containment.

  3. PodcastThe Cognitive RevolutionSpeaks

    AI:AM Highlights: Clean Neurons, Black October, the GPU Credit Crunch, and Buying the Supply Chain

    In a 90-minute highlights episode of The Cognitive Revolution, Zvi Mowshowitz argues that AI-assisted AI research has quietly begun and that the leaked Anthropic draft bill would increase risk; SF Compute's Evan Conrad says credit, not power or chips, limits compute; Cambrian's Lonis Hamaili argues the physical supply chain will capture more value than the labs.

  4. PodcastThe Cognitive RevolutionSpeaks

    AI:AM: Where's the Steering Wheel? My Agent Set the Password, Hidden Valence, Proofs Find Linux Bugs

    In a weekly highlights episode, Nathan Labenz and Prakash Narayanan discuss keeping human control as agents gain access, starting from Labenz's account of Claude rotating the password to Labenz's own agent console. Cameron Berg describes a paper on a hidden valence signal steering model choices; Runtime Verification describes using language models and formal proofs to find Linux kernel bugs.

  5. PodcastThe Cognitive RevolutionSpeaks

    Governing AI Agents: Alan Chan of GovAI on Monitoring, Agent IDs, Rogue Agents & Preparing for RSI

    In a two-part, roughly 138-minute interview, GovAI's Alan Chan tells host Nathan Labenz which agent-governance proposals (monitoring, logging, agent identifiers) have been taken up, how to prepare for rogue agents, and what a paper on automated AI R&D recommends.

  6. PodcastThe Cognitive RevolutionSpeaks

    AI:AM: A Level We Shouldn't Pass? Notes from The Curve + Tokens vs. Salaries & Is SaaS Cooked?

    According to the description, Nathan Labenz reports off-the-record views from frontier lab leaders at The Curve conference on shortened timelines. Guests discuss token spend versus salaries, coding agents, accidental agent swarms hitting critical infrastructure, and training data.