Mark Zuckerberg
speaker
5,808 appearances
84 recordings
48 series
first heard Jun 2023
last heard 2d ago
Mark Zuckerberg’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 — 32 in all, peaking in Jan 2026 with 6.
Appearances
Um, the real focus in the unifying.
Theme at this point is the virtual biology initiative around taking the unique um data sets that are able to be generated in order to model um uh effectively starting with the smallest pieces of of proteins, but then eventually cells and whole biological systems.
But that's kind of how we've evolved is you know, this this idea that um that we talk about.
A around that some of this is an AI problem and you want to build a frontier AI lab, but you need to couple that with a frontier biology effort that can do the work of um of of basically being able to uh understand and get the data that you need to actually be able to build these models.
Because unlike language models, where there's just like a lot of data out there on the internet, that's not really
the case with biology.
I mean there are
Obviously, a bunch of different data sets that exist that academia and scientists have generated over the decades.
But a lot of the stuff that I think we want to put into this, it doesn't exist.
Right.
It's like you want to be able to visualize things that people haven't been able to see before, which is why we were doing the imaging work.
You want to be able to record things that are going on inside the body, which is why we're doing the kind of cellular engineering work, right?
You want to be able to measure things like inflammation in ways that have
Been possible, which is why the Chicago Biohub is focused on building those kind of devices and being able to do that.
And that will fundamentally create um
New types of data sets that will allow new types of models.
And I think it's just a very exciting thing that going back to what you're saying, if the if the scientific field it primarily needs um kind of tool development that now is going to empower scientists across the the field to be able to do their work faster, that's what we think we can provide through this kind of long-term focus on tool development.
I mean, there are probably some differences.
I mean you can probably talk more to the specifics around this, but like
I mean, I think each layer is gonna end up being somewhat qualitatively different, right?
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