Evidence receipt / belief
Published · transcript-backedJeffrey Ladish: belief
24 May 2026 The Cognitive Revolution All Compute Is Food: Palisade's Jeffrey Ladish on AI Shutdown Resistance, Self-Replication & Ecology
“I think you're thinking about this fairly well, but I think there's one, there's like 1 concept that I think you should really have if you don't have it already, which you might, but it's it's the lethal trifecta.”
Source trail
Everything needed to verify it.
- Speaker
- Jeffrey Ladish
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 24 May 2026
- Publisher
- The Cognitive Revolution
Transcript context
…Yeah, so for the moment, just some practical advice. What should I be doing right? I am currently talking to you on my laptop as well, where I have persistent accounts on everything and I've got cloud code locally set up. And then I have exported from all of my commissions platforms, Gmail and Slack and so on into a single local database kind of the last five years of my digital messaging history so that Claude can do local search. Now, obviously I'm also sending the results of those local searches to Anthropic Cloud to be processed. So one thing I might be concerned about is maybe I shouldn't trust not Anthropic specifically, but maybe I don't, you know, maybe I should try to move some of that inference locally. But then I also separately have the desire to have a like more autonomous AI assistant that I can delegate projects to. So the way I've broken it down so far is on my laptop where I have these persistent accounts, I basically don't run long running jobs or give the AIS like larger scale goals. Instead, I just give them like local commands like do this, run through that, you know, boom. And it they're, you know, pretty narrow in scope. That's not like a precise definition, but I think of that as high access, low autonomy on my main laptop where I'm logged in and everything. Yeah, yeah, next to it is the Mac mini over here on this side. And this is where I'm trying to set up the high autonomy but relatively lower access agent. And it's got its own Gmail. And you know, I'm working through things like password sharing with one password and secret sharing with in physical. And these are things I never cared about at all before. And I'm kind of like vibing through it by like sort of asking the models and then also just sometimes being like, alright, I'm getting a little bit overwhelmed here. And we just like sleep on it and you know, try to develop my own intuitions so you know, it's over here doing its thing. And I'm, my hope is that, and I've got like 2 wikis also on top of all that, you know, I built up a wiki that's like, here's all the people I know, here's all the, you know, organizations I have relationship to whatever. There's two versions of that. There's like the personal version that lives on the laptop. And then there's the version for the autonomous agents where I tried to follow a model of like, what would I give to a human assistant, you know, and, and I tried to, of course the AIS did all this. So like, how well do they do it? I haven't, It's not like I've reviewed all these articles, but the instructions I kind of like use the heuristic of if something would be normal and acceptable to share with a human assistant. Like I'm certainly going to give my human assistant the emails of the people that I work with so they can, you know, correspond as needed. But if there's like certain details in my like private information that I wouldn't share with a personal assistant, then like don't share that with the agency either. I think you're thinking about this fairly well, but I think there's one, there's like 1 concept that I think you should really have if you don't have it already, which you might, but it's it's the lethal trifecta. Are you familiar with this term? No.…
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