Mark Zuckerberg

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5,808 appearances 84 recordings 48 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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Recordings per month over the last 12 months — 32 in all, peaking in Jan 2026 with 6.

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The a16z Show · Mark Zuckerberg & Priscilla Chan: How AI Will Help Cure Disease · 9 Jul 2026 podcast

One of the kind of most important things that we're doing right now, there's this great company, Evolutionary Scale, who actually had a bunch of researchers who'd formerly worked at Meta on protein folding models, is joining...

a biohub and and alex reeves the the uh leader of it is actually going to be the the kind of head of the whole science program which is actually kind of interesting yeah when you think about it where it's like you have ai and biology coming together and really it's like an ai person who understands biology is running it rather than a biologist who has some understanding of ai i think just kind of speaks a little bit to where we think the the relative um weight of these things is but you

I mean, we basically view, you know, like Priscilla was saying with the different biohubs, New York doing cellular engineering will basically make it so that you can have cells that can record different things that are going on around the body and share that data and then you can build that into models.

The Chicago biohub being able to

record inflammation um and basically study that in order to kind of help understand um like that that's a that's a different data set we have the imaging institute which is we just trained our first set of models around that which are the first like spatial models around understanding like the way that that kind of cells look in different states and eventually we

Just like you have this analogy on the kind of the industry side or on language models where you have different capabilities and then over time you train them into models and it gets more and more general.

That's kind of the idea here.

So we'll build the biohubs around grand biological challenges.

The biohubs will build tools that will generate novel data sets.

We will build models based on those and then eventually combine the models into an increasingly general view of a virtual cell that will be useful in

both for scientists and hopefully startups and companies that are working on finding drugs, which is not our part of the whole thing, but I think is obviously a really important part of what needs to happen.

Exactly.

And just like the language models, you build in specific capabilities.

So it's not... So, for example, you know, one of the models that we're publishing...

is is variant former right it basically you know makes it so that um it's trained on a bunch of effectively pairs if you you have a cell you apply crisper to it in a place so you see what comes out at the other side so it's it basically is able to make that kind of a prediction like okay if you have this edit that you're doing to to a cell what is likely going to happen um

another one of the models is it's this diffusion model.

Basically you can describe a type of cell that you would like it to simulate, then it will just produce a kind of synthetic model of, of, of the cell.

Um, again, I mean, it's kind of interesting because to Priscilla's point before about how everyone is different and, and like, and different cells have, have kind of, um,

And you want to be able to simulate these kind of rare configurations.

Having at least a synthetic version of what that could look like is interesting.

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