Clément Delangue
speaker
156 appearances
2 recordings
1 series
first heard Jun 2026
last heard 3 Aug
Clément Delangue’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Aug 2026 with 1.
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Bloomberg Tech · Special Edition: Hugging Face CEO Clement Delangue Talks OpenAI Hack · 3 Aug 2026
podcast
But obviously, because it's an autonomous AI system, it does that pretty well.
Well, I can't talk for them, but from what I've understood from what they released, and I think they're going to release more in the coming days, which I'm excited about, you know, they had kind of like an evaluation sandbox, right, which was supposed to be like a contained environment for the AI models.
And unfortunately, there were some weaknesses that led the agents to be able to get out of it, get access to the internet, and decide to run a cyber attack against Higginfaces.
So that's one of the first things that I think we can improve in the future, now that we understand that these systems are capable of that.
Obviously, I think that the monitoring part is important because the faster you can detect that, the better it is.
We learned about some entropic instances that they haven't seen or detected that happened three months ago or something like that.
So obviously, we want to monitor these systems better.
And then one last interesting thing, as I mentioned, we defended ourselves with an open model, right?
And some of the guardrails prevented us from using frontier APIs to defend ourselves.
So kind of like improving the tools for defenders, you know, instead of obsessing about not giving them to attackers, I think would be a good thing in the future to make sure these incidents are not too harmful.
Yeah, I mean, the open model, fortunately, was kind of flexible enough that we could use it to defend ourselves.
So that's kind of like the kind of efficient tools for defenders.
Well, I think not as bad as it could have been.
It was bad for us, for our team, right?
I mean, our whole security and fraud team worked on this for quite a while.
You know, it created some challenges for us, obviously.
But, you know, it could have been way worse, right?
Like, for example, we're an AI platform, right?
So we have kind of like good ways to defend ourselves.
But a lot of other organizations, companies don't have the same defenses.
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