Li-Lian Ang
speaker
308 appearances
1 recordings
1 series
first heard Apr 2026
last heard 2 Apr
Li-Lian Ang’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 — 1 in all, peaking in Apr 2026 with 1.
Appearances
effort that's required within companies itself i think it like lowers to me like how necessarily impactful it is to be joining a company like a frontier company rather than say like an independent lab for example yeah yeah do you have any uh so you can anonymize these of course do you have any interesting stories of of how it is to try to influence these companies from the inside
Yeah, I think I've heard from one of these companies that the way that they operate is quite chaotic.
So it's kind of hard to know who are the people working on particular projects or who are the people who actually have a say or will give the final verdict on whether this project goes through or how much resources are going to be devoted to it.
Exactly.
And you don't always have the ear of senior leadership to tell them, I want this done and to make a case for that because these companies are growing to be thousands of employees and having offices all around the world.
It's tough.
super idealistically, which is hard, obviously.
But there's one proposal, which is like, oh, if AI companies make some kind of safety commitments, that they will definitely develop their things in a safe way and have all agreed on what this is, and that there is some accountability mechanism from a government or some other body that will ensure that they do this well.
then we can ensure that this kind of technology will be built in a so-called safe way.
But this, I think, is like... It feels very ambitious and hard to achieve.
I think it's a good direction to be on, where if some of the motivation for doing this comes from the companies themselves, it will work.
And if there is some other outside mechanism that keeps them in check, that will be good.
But I think realistically...
there will be cases where we just do not catch
certain kinds of dangerous capabilities that models are able to do because we have improper like not properly estimated or like not properly evaluated the risks that these models could have or that one of these companies just ends up defaulting on their agreements anyway because they get a crazy leader and they just decide to do whatever they want and if it gets rolled out it gets rolled out right like like it's kind of hard to just like
pull something back especially if they make a model open source you know that's kind of that's kind of it you know how are you going to like delete that from every single person's hard drive in the world which is then why we have this kind of like defense in depth kind of like thinking at Blue Dot where
We obviously want to plan for the best case scenario where we're able to actually control how these models are developed and they're developed in a safe way.
But realistically, it's not going to happen perfectly.
So then can we make sure that we're able to detect if a dangerous capability or if something like dangerous actions are being taken in the world and to do this in a robust way?
And barring our ability to be able to detect these well, this is where like the kind of like withstand or like societal resilience kind of layer kind of comes in.
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