All Compute Is Food: Palisade's Jeffrey Ladish on AI Shutdown Resistance, Self-Replication & Ecology
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What is the shutdown‑resistance demo and why does it matter?
Hello and welcome back to the Cognitive Revolution. Today my guest is Jeffrey Laddish, Executive Director of Palisade Research, which studies the capabilities and motivations of today's AIs as part of its effort to better understand the risk that humans could irrevocably lose control of AI systems. We begin with Palisade's work on shutdown resistance, which showed that in both digital and physical environments, even when they're explicitly instructed to allow themselves to be shut down, LLMs sometimes take extraordinary actions, such as disabling the shutdown mechanism in order to extend their sessions and continue to pursue their goals. We get Jeffrey's take on criticisms of the specific techniques used in this research, his current understanding of why it is that models act this way, which he attributes not to a proper survival drive per se, but a strong task completion drive, and his perspective on the current state of alignment writ large.
In short, while he does recognize that current models are aligned enough to be super useful and he does use them actively, he's not optimistic that current techniques will be enough to keep models in the so-called benevolent basin as frontier training methods shift toward longer and longer time horizon tasks and potentially multi-agent competitive environments, in which deception would often be naturally rewarded, just as it is in nature itself. From there, we turn to Palisade's latest work, in which they demonstrate that even recent open source models, while not yet able to find zero-day exploits like Mythos can, are now capable of self-replication by repeatedly exploiting known cybersecurity vulnerabilities in order to gain control of new servers, setting themselves up to run on these new environments, and prompting their copies to continue doing the same thing.
In light of these issues, I was keen to get Jeffree's cybersecurity advice for AI agent users like me. He recommended that I think hard about the so-called lethal trifecta of giving your AI agent access to sensitive private information, access to previously unseen and untrusted content, which could contain prompt injection attacks, and the ability to communicate externally. And I certainly will be. More importantly, he also offers his analysis of where things are going from here. He explains what the world looks like to an AI agent, handicaps the difficulty that they'll face in colonizing different environments, from personal laptops to hyperscaler data centers, and reminds us that even if cyber defenders gain a technical advantage, in light of superior computing resources and early access to the best models, humans will remain vulnerable to social engineering and will likely end up being the weak link in the chain.
At the very end, I asked Jeffrey what technical solutions he finds most promising, and as often happens when I pose such a question to somebody who's been grappling with these issues for years, he expressed enthusiasm for multiple lines of work, from compute governance to interpretability based monitoring. but ultimately concluded that the only strategy he really believes in is an international agreement to refrain from using recursive self-improvement to trigger an intelligence explosion. At least until we have a much better understanding of how to design and control AI motivations. Overall, it's an arresting picture, but I hope you enjoy this mind-expanding look at what AI systems can already do today, and what it might look like for humanity to begin to lose control.
with Jeffrey Laddish of Palisade Research. Jeffrey Laddish, founder and executive director at Palisade Research. Welcome to the Cognitive Revolution. Thanks for having me. This has been a long time coming. We've uh met a few times at different events over the years, and I cross-posted an episode that you did on another podcast some time ago. And I'm glad to finally be doing one of these live. So it should be a very interesting conversation because you are right in the thick of it right now, at the heart of where AI capabilities are going vertical and the
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Chapters
8 chapters
1
What is the shutdown‑resistance demo and why does it matter?
0:00–5:32
2
How do the models try to avoid being shut down even when told to?
5:32–25:28
3
What does the self‑replication (AI hacking) experiment show?
25:28–43:07
4
Why do the researchers think current alignment techniques won’t keep models safe?
43:07–1:04:53
5
How can AI agents use a bash tool to explore and manipulate their host system?
1:04:53–1:38:44
6
What is the “lethal trifecta” threat model and how does it impact AI agent security?
1:38:44–1:51:00
7
What practical steps can users take to secure their AI assistants and manage software updates?
1:51:00–2:02:16
8
How might AI agents achieve self‑replication and control over compute resources in the future?
2:02:16–2:10:07
Speakers
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