Andrew White

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993 appearances 1 recordings 1 series first heard Jan 2026 last heard 28 Jan

Andrew White’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · 🔬 Automating Science: World Models, Scientific Taste, Agent Loops — Andrew White · 28 Jan 2026 podcast

No, if you want to design a protein for X, use these tools.

That's a great question.

I think I guess the the short answer is that.

There's very f so so this is the domain of seaborne.

So chemical, biological, radiological, nuclear um uh weapons or I don't know, safety.

This domain has been explored a lot in history by a lot of uh organizations.

Yeah.

And um I would say that there was uh a big question mark for us a few years ago was like how much of this stuff is uh intellectually bottlenecked?

Like how often are people like, Oh wow, I want to cause harm, um, but I need to know like some facts and could LLMs make that easier or go faster or anything like that?

I think, you know, the first set of answers in twenty twenty three, I think, was basically no, is that like, you know, you can go find the synthesis route for many dangerous compounds on Wikipedia.

People know what are the targets in the human body that like are are are targeted by most biological weapons.

It's it's not really that much of a mystery.

So I I don't think there was a lot of like um there's a lot of new ground when LLMs first came about.

Then there's a lot of concern about like laboratory protocols.

Is that could agents or LLMs uh reveal some tacit knowledge that like maybe people couldn't find on Wikipedia, or like maybe for making something, there's some technique that requ that is required when you scale it up in size or something, or maybe there's like some way to get around like tracking lists by ordering different compounds or something.

So and that I think was really well tested um by a few different labs.

Not not me, but there were some groups that spun up that started making like tests for this and it and labs pay attention to I think it's really been put into process where LMs will like kind of shut down or be filtered in in those scenarios.

But I think that is actually an area where there is is some risk.

Um and so I think this is something that people pay attention to for open source models and there's still, I think, some some discussion there, but

I think to a large extent it's it's not really

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