Lee Cronin
๐ค SpeakerAppearances Over Time
Podcast Appearances
Yeah. And that means you need to have some idea of the anatomy.
I guess so. I mean, and I think this is a good way to apply machine learning and image recognition just to basically characterize things.
I guess so. I mean, and I think this is a good way to apply machine learning and image recognition just to basically characterize things.
I guess so. I mean, and I think this is a good way to apply machine learning and image recognition just to basically characterize things.
And the compression has to be... Remember the assembly universe, which is you have to go from assembly possible to assembly contingent. And that jump from... Because assembly possible, all possible brains, all possible features all the time. But we know that... On the tree of life and also on the lineage of life, going back to Luca, the human brain just didn't spring into existence yesterday.
And the compression has to be... Remember the assembly universe, which is you have to go from assembly possible to assembly contingent. And that jump from... Because assembly possible, all possible brains, all possible features all the time. But we know that... On the tree of life and also on the lineage of life, going back to Luca, the human brain just didn't spring into existence yesterday.
And the compression has to be... Remember the assembly universe, which is you have to go from assembly possible to assembly contingent. And that jump from... Because assembly possible, all possible brains, all possible features all the time. But we know that... On the tree of life and also on the lineage of life, going back to Luca, the human brain just didn't spring into existence yesterday.
It is a long lineage of brains going all the way back. And so if we could do assembly theory to understand the development, not just in evolutionary history, but in biological development as you grow, we are going to learn something more.
It is a long lineage of brains going all the way back. And so if we could do assembly theory to understand the development, not just in evolutionary history, but in biological development as you grow, we are going to learn something more.
It is a long lineage of brains going all the way back. And so if we could do assembly theory to understand the development, not just in evolutionary history, but in biological development as you grow, we are going to learn something more.
That is the first step. And also to say, look, we have a way of quantifying selection and evolution in a fairly, not mundane, but a fairly mechanical way. Because before now, the ground truth for it was very subjective.
That is the first step. And also to say, look, we have a way of quantifying selection and evolution in a fairly, not mundane, but a fairly mechanical way. Because before now, the ground truth for it was very subjective.
That is the first step. And also to say, look, we have a way of quantifying selection and evolution in a fairly, not mundane, but a fairly mechanical way. Because before now, the ground truth for it was very subjective.
Mm-hmm.
Mm-hmm.
Mm-hmm.
Whereas here, we're talking about clean observables. And there's going to be layers on that. I mean, with collaborators right now, we already think we can do assembly theory on language. And not only that, wouldn't it be great if we can figure out how under pressure language is going to evolve and be more efficient? Because you're going to want to transmit things.
Whereas here, we're talking about clean observables. And there's going to be layers on that. I mean, with collaborators right now, we already think we can do assembly theory on language. And not only that, wouldn't it be great if we can figure out how under pressure language is going to evolve and be more efficient? Because you're going to want to transmit things.
Whereas here, we're talking about clean observables. And there's going to be layers on that. I mean, with collaborators right now, we already think we can do assembly theory on language. And not only that, wouldn't it be great if we can figure out how under pressure language is going to evolve and be more efficient? Because you're going to want to transmit things.
And again, it's not just about compression. It is about understanding how you can make the most of the architecture you've already built. And I think this is something beautiful that evolution does. We're reusing those architectures. We can't just abandon our evolutionary history.