Jen Kha

speaker
107 appearances 1 recordings 1 series first heard Jul 2026 last heard 3 Jul

Jen Kha’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

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When a capability is on a thumb drive, export controls are a joke.
You can't actually control it in that way.
And there is real power, as we talked about earlier, in the models that the world runs on being run on trusted models.
When people are using an American model, they don't have to worry there's an intentional backdoor.
As we talked about earlier, they don't have to worry that a chatbot's answers will be framed by censoring to fit a particular political story of an authoritarian government.
So the question for now is to say, how do we build in the degree of safety in models so that they can be used in environments that need that safety?
And that is somewhere where, because the main models are American, we're in a particular position
to think through and build that out.
And I think this is not done by government.
It's not done by the private sector.
What it really needs is people who really understand the models best from the private sector at the table with folks on the government side who are thinking about how do we both promote innovation and control for these risks and building out the right set of government policies to enable both the use as well as the understanding of how do you protect against the risks that come with the models as well.
And I think to that point, we'll focus on the cyber aspect because that's gotten so much attention with anthropic mythos model, et cetera.
I think what AI models essentially do, to Ben's point, is you want to be the first to hack your systems because we often use the expression of digital doorknobs.
It now allows attackers to jiggle every doorknob continuously and at scale.
So your hope for your network is using those models first to find where you're vulnerable and frankly then be able to fix it.
And that was an attractable problem before.
And I think now the models help you, particularly for code bases that were public, particularly for if you're relying on third party code or open source code.
And that's some of the biggest areas of risk or where there is dependencies on code that nobody was really maintaining.
So I think we're now seeing, you know, companies coming together, taking responsibility for that because now the, I would say, the cost of not addressing insecure code has gone up and the cost of addressing it has gone down.
Yeah, which is a good shift from where we were before.
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