Pliny the Liberator

speaker

243 appearances 1 recordings 1 series first heard Dec 2025 last heard 16 Dec

Pliny the Liberator’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.

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Latent Space: The AI Engineer Podcast · Jailbreaking AGI: Pliny the Liberator & John V on AI Red Teaming, BT6, and the Future of AI Security · 16 Dec 2025 podcast

That's sort of my goal in all this is just to be a steward.

Um, I'm not trying to get wealthy from this.

That was never the goal.

I was just s I just saw a need and started shouting about it.

All I've really done since then, I hope, is uh contribute to the discourse and the research and the speed of exploration.

I think that's what matters.

maybe another distinction for the audience is the difference between sort of safety and security work, right?

Security is more squarely I I think that's maybe the distinction is best thought of as

Safety is done on the

Meet space level?

Or it should be, but the way people use the word has kind of become dirty is they tried to solve this on the latent space level.

Um I think I've shown every single time that that doesn't work, right?

And so what we need to do is I think reorient safety work around need space that just goes hand in hand with a fundamental understanding of the nature of the models, which you know booths on the ground is it's obvious to some of us who are spending hours and hours a day actually interacting with these entities.

But for for those who don't, it's maybe not always obvious.

But as far

Far as the the contract work that we get involved with, it's never about lobotomization or you know personality of the models.

We totally try to avoid that type of work.

What we try to focus on is, you know, preventing your grandma's credit card information from being hacked through, you know, an agent has knowledge of it and leaks it through some hole in the stack.

So what we do is we

You try to find holes in the stack and rather than recommending that those fixes happen through the model training layer, we always recommend first to focus on, you know, the system layer.

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