Mark Zuckerberg

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5,969 appearances 91 recordings 52 series first heard Jun 2023 last heard yesterday

Mark Zuckerberg’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · Priscilla Chan and Mark Zuckerberg: Frontier AI + Virtual Biology To Solve All Diseases · 6 Nov 2025 podcast

And I think you can think about biology in that way too. matched

And there's sort of a concept of a frontier biology lab. matched

Like, what is the idea of a, you know, it's a like labs that are kind of at the cutting edge of like building the most advanced imaging, like measuring, you know, inflammation or doing cellular engineering in the most advanced ways that w whatever the the problem space is that you're at. matched

And then I think that there's a lot of things. matched

This interesting problem space of what happens if you're at the intersection of those two areas. matched

Right. matched

So I mean you mentioned um matched

The work that DeepMind did on AlphaFold, which is great, that's an example of a frontier AI lab using a data set that was just generated by other scientists like over decades, right? matched

But I think part of what we're trying to unlock here with BioHub is the idea of what actually happens if you do frontier biology and frontier AI in sync together, and you're designing the tools on the frontier biology side. matched

In order to specifically collect and be able to learn types of data that you then want to feed into specific types of models that you want to build so that it can understand the cells and the body at different types of resolution. matched

I think you can just kind of um, I don't know, you it's like a much more integrated approach that that allows you know designing the things that you need that that should eventually get towards more grounding and not just. matched

allowing you know folks who are good at AI to do the best they can with whatever biological data happens to be available. matched

But I mean there's matched

You know, a lot of people I think often take these things to the extreme and are like, Okay, pretty soon if you have these models, you're just gonna be able to run experiments with the models without even having to go to a wet lab. matched

And it's like matched

No, I mean I think that that's that's kind of like I think that that's sort of the biological version of like eventually AI is gonna automate every single thing in society. matched

It's like, look at maybe you get there, right? matched

And I think that there's like some chance over time, but well before you do, you're going to be able to have models that can help generate hypotheses and scientists can apply their taste on which ideas or kind of suggestions matched

come from this are worth testing, and then you test them and then you feed it back into the model, which I think is basically the way that every AI model is deployed into even in code and other places. matched

Totally. matched

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