David Eagleman
๐ค SpeakerAppearances Over Time
Podcast Appearances
Then we can talk. But if the first thing you know about me is that I have a different political opinion, then it's a different ballgame.
Then we can talk. But if the first thing you know about me is that I have a different political opinion, then it's a different ballgame.
Exactly right. And by the way, it doesn't have to be the in-group everybody. It's my in-group is other hang gliders and other people who like this kind of dog. Like, that's my only group. That's fine, because there's nothing about that that's going to make me pick up arms and go to war over that stuff.
Exactly right. And by the way, it doesn't have to be the in-group everybody. It's my in-group is other hang gliders and other people who like this kind of dog. Like, that's my only group. That's fine, because there's nothing about that that's going to make me pick up arms and go to war over that stuff.
Exactly right. And by the way, it doesn't have to be the in-group everybody. It's my in-group is other hang gliders and other people who like this kind of dog. Like, that's my only group. That's fine, because there's nothing about that that's going to make me pick up arms and go to war over that stuff.
Exactly. Exactly right. And by the way, obviously these social media companies from our behavior and things we post, they know hundreds of data on us. So that can really be used for good by saying, hey, look, these two strangers have something in common that they like. Just whatever. We like Salvador Dali paintings or whatever it is.
Exactly. Exactly right. And by the way, obviously these social media companies from our behavior and things we post, they know hundreds of data on us. So that can really be used for good by saying, hey, look, these two strangers have something in common that they like. Just whatever. We like Salvador Dali paintings or whatever it is.
Exactly. Exactly right. And by the way, obviously these social media companies from our behavior and things we post, they know hundreds of data on us. So that can really be used for good by saying, hey, look, these two strangers have something in common that they like. Just whatever. We like Salvador Dali paintings or whatever it is.
Yeah. So, okay. The short answer is right now, we don't have the technology that would even get us close to that. Why? Because the brain is made up of 86 billion neurons, about that same number of glial cells. And the connections between the neurons is about 200 trillion synapses, the connections between them. Okay. What does that mean?
Yeah. So, okay. The short answer is right now, we don't have the technology that would even get us close to that. Why? Because the brain is made up of 86 billion neurons, about that same number of glial cells. And the connections between the neurons is about 200 trillion synapses, the connections between them. Okay. What does that mean?
Yeah. So, okay. The short answer is right now, we don't have the technology that would even get us close to that. Why? Because the brain is made up of 86 billion neurons, about that same number of glial cells. And the connections between the neurons is about 200 trillion synapses, the connections between them. Okay. What does that mean?
It means we don't have, if you took all the computing power on the planet right now, it's not enough. To actually... On the whole plane. On the whole plane. Yeah, because it's about a zettabyte of information is what it would take to actually scan and store your brain. And we have probably a quarter of that capacity right now. So we can't do that yet.
It means we don't have, if you took all the computing power on the planet right now, it's not enough. To actually... On the whole plane. On the whole plane. Yeah, because it's about a zettabyte of information is what it would take to actually scan and store your brain. And we have probably a quarter of that capacity right now. So we can't do that yet.
It means we don't have, if you took all the computing power on the planet right now, it's not enough. To actually... On the whole plane. On the whole plane. Yeah, because it's about a zettabyte of information is what it would take to actually scan and store your brain. And we have probably a quarter of that capacity right now. So we can't do that yet.
But 100 years for sure, we'll have the capacity. No problem there. Okay. But the question is, if we took your brain and we put it onto a different substrate, let's say on silicon, would it be you? In theory, yes. In theory, it would be because if we're running the algorithm of Jordan, that is you. And I could probably replicate it out of different material.
But 100 years for sure, we'll have the capacity. No problem there. Okay. But the question is, if we took your brain and we put it onto a different substrate, let's say on silicon, would it be you? In theory, yes. In theory, it would be because if we're running the algorithm of Jordan, that is you. And I could probably replicate it out of different material.
But 100 years for sure, we'll have the capacity. No problem there. Okay. But the question is, if we took your brain and we put it onto a different substrate, let's say on silicon, would it be you? In theory, yes. In theory, it would be because if we're running the algorithm of Jordan, that is you. And I could probably replicate it out of different material.
I could make it out of beer cans and tennis balls. And if it's running the right algorithm, I can say, hey, Jordan, how are you feeling? You say, oh, I'm feeling good, whatever. This is what's known as the computational hypothesis of neuroscience, which is it's the algorithms that matter and not the details of how Mother Nature had to build it out of cells. Okay, fine.
I could make it out of beer cans and tennis balls. And if it's running the right algorithm, I can say, hey, Jordan, how are you feeling? You say, oh, I'm feeling good, whatever. This is what's known as the computational hypothesis of neuroscience, which is it's the algorithms that matter and not the details of how Mother Nature had to build it out of cells. Okay, fine.
I could make it out of beer cans and tennis balls. And if it's running the right algorithm, I can say, hey, Jordan, how are you feeling? You say, oh, I'm feeling good, whatever. This is what's known as the computational hypothesis of neuroscience, which is it's the algorithms that matter and not the details of how Mother Nature had to build it out of cells. Okay, fine.