Alessio Fanelli

speaker

10,045 appearances 92 recordings 1 series first heard Oct 2024 last heard 20 May

Alessio Fanelli’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 28 in all, peaking in Oct 2025 with 7.

Appearances

newest first · ▶ plays the moment

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

Um, yeah, kind of like an open floor for you guys. matched

Awesome guys. matched

I know we're running out of time, so any final thoughts, call to action? matched

You got the whole audience, so go ahead. matched

Are you messing the latent space of the transcriber model? matched

All right, guys. matched

Um yeah, thank you so much for joining us. matched

This was a lot of fun. matched

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

Hey everyone, welcome to the Laden Space Podcast. matched

This is Alessio, founder of Kernel Labs, and I'm joined by Swix, editor of Laden Space. matched

Hello, hello. matched

How do you think about jail bricks overall? matched

So I think people understand the concept, but there's you know, some people then might say, Hey, are you jailbreaking to get instructions on how to make a bomb? matched

And I think that's what some of the, you know, people in in politics are trying to use to regulate some of the tech versus task specific jail bricks and things like that. matched

Just I think most people are not very familiar with like the scope of it. matched

So maybe just give people like a overview of like what it means. matched

means to like liberate a model. matched

Um and then we can kinda take it from there. matched

And can you maybe specify between jail breaking out of like a system prompt and, you know, more kind of like inference time security, so to speak, versus things that are being post trained out of the model and maybe the different levels of difficulty, like what is possible, what is not possible, and maybe the trajectory of the models, how better they've gotten. matched

I think the refusal is like one of the main benchmarks that the model providers still post and matched

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