Mark Zuckerberg
speaker
5,870 appearances
89 recordings
51 series
first heard Jun 2023
last heard 2d ago
Mark Zuckerberg’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 36 in all, peaking in Jan 2026 with 6.
Appearances
This interesting problem space of what happens if you're at the intersection of those two areas.
Right.
So I mean you mentioned um
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?
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.
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.
I think you can just kind of, 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.
allowing you know folks who are good at AI to do the best they can with whatever biological data happens to be available.
But I mean there's
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.
And it's like
No, I mean I think that 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.
It's like, look, it maybe you get there, right?
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
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.
Totally.
Totally.
Yeah.
Well, I mean, one thing that we haven't talked about is the evolutionary scale team and Alex Reeves and and his team joining and they were like the announcement.
Yeah.
Showing 741–760 of 5,870 · page 38 of 294
← Previous
Next →