00:00:00
Speaker 1: You know, Thomas, I got to tell you, and I mentioned this at the beginning of my show to my listeners who listen to all three hours, and they're my favorites. I just saw a college major in Europe that combines two things. It combines philosophy and ethics with the study of AI, and the purpose of the degree is to be able to begin or work or continue the work of injecting ethics into the development of artificial intelligence and large language models. And your columns today aren't exactly that, but they kind of are in a way.
00:00:42
Speaker 2: They really are.
00:00:43
Speaker 3: Yes that that actually makes really good sense, because.
00:00:49
Speaker 2: We actually under need to.
00:00:51
Speaker 3: Understand AI in a lot of different ways, and that's taking a giant step in the right direction.
00:00:59
Speaker 1: Anyway, Well, well, you know right now, AI is functionally a search engine that has the ability to crunch large amounts of data in such a way that's very palatable. But it has limitations. And one of the limitations, and I want to just start with the first column of the series of three that you sent me, one of the limitations is that it has a limited amount of curiosity. And I didn't know where you were going with this when I started reading, but once I started reading, I'm like, Wow, maximum curiosity is what we should all want, But what is maximum curiosity for my audience?
00:01:36
Speaker 2: So back up just a little bit.
00:01:39
Speaker 3: Elon Musk it's been saying that for AI systems we need to design them to be maximally truthful and to be maximally curious. And I think we all know what maximally truthful means.
00:01:54
Speaker 2: But then when you start playing around with the.
00:01:56
Speaker 3: Idea of curious, that that raises a lot of interesting questions.
00:02:01
Speaker 2: And so if it's.
00:02:02
Speaker 3: Maximally curious, then it's always asking what came before that, or what happened as a result of that, or what happens after that That comes together and so it's like that little kid that's asking why twelve or thirteen times in a row. And so if you keep doing that, you start uncovering lots of interesting things. You start uncovering answers that you never thought you were ever going to start looking for. So in doing this series of columns, I wanted to really dive in and see what does looked like. And I think it's just absolutely fascinating because.
00:02:44
Speaker 2: If you could.
00:02:47
Speaker 3: Have a maximumly curious AI and you wanted to do your genealogy as an example, then you start looking at who came before them and who came before them, and every person has two parents, four grandparents, eight great grandparents, and if you go back ten generations, there's actually twenty and sixty four people that are involved in your ancestry just in ten generations. That's a huge amount of people, and it seems like an odd number, but that's the way it works out. So if you have a maximumly curious system, then it's figuring out ways of if you wanted to get an image of all of those people, even before photography was invented, it probably could devise ways to actually figure out how to come up with an image of those people and what they look like, what things they were doing during the day. And this is all based on this one I use this one principle that all information never created still in existence. And I find this quite fascinating because.
00:04:06
Speaker 2: When you're standing.
00:04:07
Speaker 3: Out inside your house and doing something, the sun shines on you and reflects off into space. That information is floating through space somewhere, and then you ask the question is it reassemblable? Well, if you had an axtimuently curious AI system, that would constantly keep pounding again and again and again.
00:04:30
Speaker 2: Try to figure out how to.
00:04:32
Speaker 3: Reassemble that information. It eventually would figure out how to do that. At least that's the conclusion I've been coming to until it reached the point where it was exhausting all of the resources of planet Earth trying to figure that question out.
00:04:50
Speaker 2: So this recursive self.
00:04:51
Speaker 3: Improvement is hammering at it more and more and more until you just come up with the answer.
00:04:58
Speaker 1: And you know what the answer, it's forty two from Hitchhiker's Guide to the Galaxy. That that is we're all going to find out after all, that's obvious. It's just forty two. No, I'm just kidding, of course. But in this column you actually got me thinking about our limitations and the way that we view things in such a linear fashion without asking any of those deeper dive questions. So if we did create AI that went as far and as deep and as you know, as far back and to the to the number forty two as we can get, then that would actually have a broader view of the world than a human being generally does.
00:05:39
Speaker 3: Right, try, So, let's I wrote one column on the Whole Earth ownership project.
00:05:46
Speaker 1: Yeah, let's talk about that, because that was cool too.
00:05:48
Speaker 3: So if you if you think about the land your house is on, somewhere along the way, you got a title to that house and they look did so you got a clear title to the house.
00:06:02
Speaker 2: But what does that mean? That means it goes back so far.
00:06:06
Speaker 3: If you go back farther, virtually every piece of land on planet Earth was at one time taken by some conqueror or stolen from somebody. So most of the land that we live on today has a dark history to it.
00:06:27
Speaker 2: And if you wanted to keep going back.
00:06:29
Speaker 3: Farther and farther and farther, do we want to really know all about all those details?
00:06:35
Speaker 2: So the whole Earth ownership.
00:06:38
Speaker 3: Project is likely to uncover all kinds of interesting twists and turns that we never saw coming.
00:06:46
Speaker 2: Yeah.
00:06:47
Speaker 3: So yeah, so the find finding our ancestry. That's what I refer to as a whole Earth genealogy project. Constantly hammering away at that. And then we could do other things too, like we can maximumly curious system turn. The other direction would constantly be hammering away at the future until we figure out things that are going to happen in the future.
00:07:14
Speaker 1: I mean, wait, wait, stop right there, mister, stop right there with and now we've got AI that's going to predict the future. I mean, the problem with predicting the future is that you could probably hammer out a likely scenario, but at any given moment, you know, you'd have a curve ball coming in that throws all of those assumptions into chaos. Right, So, I mean, when you're talking about what's going to happen in the future, what exactly are you talking about? Are we going to you know, talk like, because I say to and predict the future all the time, we're going to spend ourselves into oblivion. But what exactly would.
00:07:46
Speaker 3: That look like? Yeah, that that butterfly that's slapping it swings on the other side of the planet, that's causing an earthquake or a volcano on the other side of the planet. We would be able to to go back and find those original causes of these changes. So piecing all these details together, it's impossible for humans to do anything like this, But for a maximumly curious AI system that's recursively self improving, that has all kinds of possibilities that we've just never imagined in the past. That's why I find this hoping so fascinating.
00:08:30
Speaker 1: Well, it really does show the sort of and I don't want to use the word ethical, but it feels like this falls into the realm of the ethics of an AI, right, like how deep are they how deep are they going to dig? How far are they going to go back? Are they really in a search for truth or are they just going to regurgitate back? The easiest thing for the asker to get right, the asker to receive. Because if you ask someone, hey, what was the cause of the Civil War and an AI comes back with, well, there was a pushback between agrarian and urban societies that led to economic unfair and I mean here there's what they want to know is what was the thing that is most likely to be blamed for the cause of the Civil war? Right? I mean at what point how does this get programmed? What what silo does this go in?
00:09:18
Speaker 2: Well, yeah, do we put limits.
00:09:21
Speaker 3: On it because otherwise it uses up all the resources. I'm planning to try to come up with that. See when when we had the TV show The Prices, right, I think this is always fascinating that Bob Barker had come out and need show you what's behind door number one and door number two and then and then it's always would you want to keep one of those? Or are you on to trade it for what's behind door number three? And that's that's always sparked our curiosity, and that's kind of symbolic of how we think about things. U. I always want to know what's behind door number three, And so we're constantly looking at what caused that to happen? And then you step back in another generation say, well, what caused those things to happen?
00:10:13
Speaker 2: What caused those things to happen? And this, this to me, just.
00:10:20
Speaker 3: Raises so many interesting possibilities that we have to absolutely set limitations on it so we don't exhaust our all planet ears resources trying to figure these things out. But then, I mean, if you want to get into major philosophical questions, it's you get into why does anything exist?
00:10:43
Speaker 1: Stop it now? It is like talking to a four year old and what do you And you're like, wait, what, I didn't realize. I thought we were just going to read a story and go to.
00:10:51
Speaker 3: Bed, right right, yeah, And so then you get into really the deep meanings.
00:10:59
Speaker 2: Of the entire planetary system exists.
00:11:04
Speaker 3: Twas if you're religious why does God exist? Why does anything exist at all in the universe?
00:11:12
Speaker 1: And then that is number forty two. Let's talk for a second a little more expansively about the whole Earth genealogy project, because what's funny about this is I was bored the other day, and I know my father's lineage because one of my family members did a family tree, and I've got that. But my mother's mother was always something of a mystery, right, and no one actually knew her maid name. She immigrated over from Hungary, came back, my grandfather, went to medical school in Budapest, and came back married to my grandmother. So I was like, you know what, I'm just going to turn chat GBT loose on this and see if we can come up with my grandmother's maid name. Okay, just for fun. I don't even really care that much. I just thought it would be fun. In thirty seconds, chat GBT asked me several questions and then we found a marriage certificate for my grandmother, so I knew my grandmother's maide name. It was incredible to speed with which I was able to get to that information. And it's interesting because you begin to realize, especially in the United States of America. I think that everybody is like, we're all mutts right in the United States. We're all not all of us, but a lot of us have this this very mixed heritage of you know, various parts of the world and the whole Earth Genealogy project. You're saying we can map every human connection.
00:12:34
Speaker 3: Right all the way back to Adam and Eve, and that's that gets uh, yeah, I think it gets really interesting.
00:12:44
Speaker 2: A lot of a lot of these records.
00:12:46
Speaker 3: Are are kept by ancestry dot Com, which was started by the Mormon Church, and and so those records have somehow stayed private. There's aid secret so the AI systems have not been able to scan those yet, as to my understanding anyway, And so if.
00:13:10
Speaker 2: We were to, should should our.
00:13:14
Speaker 3: Ancestry be disclosed? Do organizations have a right to keep our history private? I'm not sure how to ask that any other way.
00:13:29
Speaker 1: Well, aren't you ultimately talking about something that I wanted to talk to you about? Anyway? So there are apps that do certain things, right, you have apps that you play games, you have apps to do this. So now there are a lot of apps that are very useful that I've had on my phone for a long time one that I can take a picture of a plant and it will tell me what that plant is, you know, things like that. But increasingly I can take a picture on Chat and get that same information for free. Now to your point about how long is be you and the Mormon Church going to be able to keep those records private? Part of that is because they charge you for access to those And in their defense, Thomas, they did gather all that stuff up, right, I mean that was their project, so they gathered it all in one place. But at some point are we going to see an erosion of sort of these different little applications that people may pay two dollars for or you know, a month or whatever. Are because I got to tell you there's apps that I've used for a long time that I'm like, I don't need it anymore? Why am I paying for it?
00:14:33
Speaker 2: Right?
00:14:33
Speaker 3: Right, just the way things are evolving at the moment, it seems like it's inevitable that something will somebody will figure out a system that can seep in ways and uncover this real world data that's out there. And should they be compensated for that, I think absolutely, But I don't think they can keep it a secret for too long. That's that's just my own personal thinking. I would I would love to be able to go back and trady so on my history. I'd love to get a video clip of Napoleon, video clip of Archimedes. Yeah, just all of these people that we hear about in the history books, that information about them is somewhere out there. All this information is probably stored in some rock somewhere that turn AI system risks on it and spend twenty twenty trillion dollars trying to find out what's in that rock.
00:15:53
Speaker 1: That Are they using AI to decipher ancient languages or hieroglyphics or stuff like that, because that would seem to be incredibly useful.
00:16:02
Speaker 3: Yeah, yeah, they are using it for all of those things, and we're going to find more and more ways to use it as time goes on.
00:16:13
Speaker 2: So the other day I was I had been given this.
00:16:18
Speaker 3: Piece of artwork, a painting of some horses I was given.
00:16:24
Speaker 2: That was given to me by.
00:16:25
Speaker 3: A Korean artist when I was over in Korea, and I was hanging on my wall and I was just sketching my head saying, I wonder what this is worth? So I took a picture of it, and I explained where it was and how I received it, and it wasn't able to come up with any valuation that was meaningful in any way at this point. But I got to think that sometimes are not too distant future that we'll be able.
00:16:51
Speaker 2: To find that out. That's cool, that's really cool.
00:16:57
Speaker 3: So I mean, you can go to take a picture of your house. How much is my house worth?
00:17:02
Speaker 2: Today? Oh?
00:17:04
Speaker 1: You know what I just did with Okay, this is what we're looking at, buying a small home near our kids in Ohio. But all of the homes around them are so ugly that I just can't. So now I take the picture of the front of the house, and I uploaded a chat GBT and say give me an update that costs me less than five thousand dollars, and Chat does. So it's like, I mean, there's so many different ways to use it. But the thought of it becoming superior to the human brain in a sense that we're talking about here, and having that level of maximum curiosity and being able to dig down and give more complete answers, that's a little bit scary to me because at that point you start to wonder why are we even here.
00:17:47
Speaker 2: But we're very complex people.
00:17:51
Speaker 3: If that's an example, I want I give the command to my AI.
00:17:58
Speaker 2: System to be the guardian.
00:18:00
Speaker 3: You know, it's human. I wanted to guard me. I wanted to protect me. Then it has to know all the things that I find valuable as well.
00:18:11
Speaker 2: So how does it.
00:18:13
Speaker 3: Not only guard me? How does it not only protect me? But how does it protect my community? The people that are in my neighborhood, that are in my city, that are in my state, that are in my country, that are that might go to the same church, that might belong to the same groups that I belong to. And then it starts getting really conflicted because not all these people are things actually think the same way, right, So you guard one thing and then you other things go unguarded then so but it raises all kinds of I don't know these fascinating questions. Is we're going to be losing jobs very fast here as AI grows in significance. So the World Economic Forum puts it at ninety two million jobs will disappear by twenty and thirty, and some of them have already started to disappear. But it also said that it's going to create one hundred and thirty three million new jobs. Now, the new jobs do not instantly absorb all the ninety two million that.
00:19:28
Speaker 2: Are going away, because not everybody's.
00:19:31
Speaker 3: Being programmed as being relevant for this new economy that's being developed. So that's one of the reasons I've actually started a new sub stack series on the relevance gap, and so I'm talking about how people need to go about staying relevant in the future.
00:19:55
Speaker 1: Amen, that's all on your website, the future speaker dot com, right.
00:20:01
Speaker 2: That one.
00:20:03
Speaker 3: Yeah, it's just starting to get up there right now. So yeah, the relevance gap is just something new in the last couple of weeks.
00:20:13
Speaker 2: So okay, Well, I've.
00:20:14
Speaker 1: Got links to all of these stories we talked about. They're super interesting. You really should go listen to them. Thomas Frye, I appreciate your time today. We'll talk to again next month.
00:20:22
Speaker 2: All right, appreciate it.
00:20:23
Speaker 1: Thanks, all right, man, we will talk to you later.
Speaker 1: You know, Thomas, I got to tell you, and I mentioned this at the beginning of my show to my listeners who listen to all three hours, and they're my favorites. I just saw a college major in Europe that combines two things. It combines philosophy and ethics with the study of AI, and the purpose of the degree is to be able to begin or work or continue the work of injecting ethics into the development of artificial intelligence and large language models. And your columns today aren't exactly that, but they kind of are in a way.
00:00:42
Speaker 2: They really are.
00:00:43
Speaker 3: Yes that that actually makes really good sense, because.
00:00:49
Speaker 2: We actually under need to.
00:00:51
Speaker 3: Understand AI in a lot of different ways, and that's taking a giant step in the right direction.
00:00:59
Speaker 1: Anyway, Well, well, you know right now, AI is functionally a search engine that has the ability to crunch large amounts of data in such a way that's very palatable. But it has limitations. And one of the limitations, and I want to just start with the first column of the series of three that you sent me, one of the limitations is that it has a limited amount of curiosity. And I didn't know where you were going with this when I started reading, but once I started reading, I'm like, Wow, maximum curiosity is what we should all want, But what is maximum curiosity for my audience?
00:01:36
Speaker 2: So back up just a little bit.
00:01:39
Speaker 3: Elon Musk it's been saying that for AI systems we need to design them to be maximally truthful and to be maximally curious. And I think we all know what maximally truthful means.
00:01:54
Speaker 2: But then when you start playing around with the.
00:01:56
Speaker 3: Idea of curious, that that raises a lot of interesting questions.
00:02:01
Speaker 2: And so if it's.
00:02:02
Speaker 3: Maximally curious, then it's always asking what came before that, or what happened as a result of that, or what happens after that That comes together and so it's like that little kid that's asking why twelve or thirteen times in a row. And so if you keep doing that, you start uncovering lots of interesting things. You start uncovering answers that you never thought you were ever going to start looking for. So in doing this series of columns, I wanted to really dive in and see what does looked like. And I think it's just absolutely fascinating because.
00:02:44
Speaker 2: If you could.
00:02:47
Speaker 3: Have a maximumly curious AI and you wanted to do your genealogy as an example, then you start looking at who came before them and who came before them, and every person has two parents, four grandparents, eight great grandparents, and if you go back ten generations, there's actually twenty and sixty four people that are involved in your ancestry just in ten generations. That's a huge amount of people, and it seems like an odd number, but that's the way it works out. So if you have a maximumly curious system, then it's figuring out ways of if you wanted to get an image of all of those people, even before photography was invented, it probably could devise ways to actually figure out how to come up with an image of those people and what they look like, what things they were doing during the day. And this is all based on this one I use this one principle that all information never created still in existence. And I find this quite fascinating because.
00:04:06
Speaker 2: When you're standing.
00:04:07
Speaker 3: Out inside your house and doing something, the sun shines on you and reflects off into space. That information is floating through space somewhere, and then you ask the question is it reassemblable? Well, if you had an axtimuently curious AI system, that would constantly keep pounding again and again and again.
00:04:30
Speaker 2: Try to figure out how to.
00:04:32
Speaker 3: Reassemble that information. It eventually would figure out how to do that. At least that's the conclusion I've been coming to until it reached the point where it was exhausting all of the resources of planet Earth trying to figure that question out.
00:04:50
Speaker 2: So this recursive self.
00:04:51
Speaker 3: Improvement is hammering at it more and more and more until you just come up with the answer.
00:04:58
Speaker 1: And you know what the answer, it's forty two from Hitchhiker's Guide to the Galaxy. That that is we're all going to find out after all, that's obvious. It's just forty two. No, I'm just kidding, of course. But in this column you actually got me thinking about our limitations and the way that we view things in such a linear fashion without asking any of those deeper dive questions. So if we did create AI that went as far and as deep and as you know, as far back and to the to the number forty two as we can get, then that would actually have a broader view of the world than a human being generally does.
00:05:39
Speaker 3: Right, try, So, let's I wrote one column on the Whole Earth ownership project.
00:05:46
Speaker 1: Yeah, let's talk about that, because that was cool too.
00:05:48
Speaker 3: So if you if you think about the land your house is on, somewhere along the way, you got a title to that house and they look did so you got a clear title to the house.
00:06:02
Speaker 2: But what does that mean? That means it goes back so far.
00:06:06
Speaker 3: If you go back farther, virtually every piece of land on planet Earth was at one time taken by some conqueror or stolen from somebody. So most of the land that we live on today has a dark history to it.
00:06:27
Speaker 2: And if you wanted to keep going back.
00:06:29
Speaker 3: Farther and farther and farther, do we want to really know all about all those details?
00:06:35
Speaker 2: So the whole Earth ownership.
00:06:38
Speaker 3: Project is likely to uncover all kinds of interesting twists and turns that we never saw coming.
00:06:46
Speaker 2: Yeah.
00:06:47
Speaker 3: So yeah, so the find finding our ancestry. That's what I refer to as a whole Earth genealogy project. Constantly hammering away at that. And then we could do other things too, like we can maximumly curious system turn. The other direction would constantly be hammering away at the future until we figure out things that are going to happen in the future.
00:07:14
Speaker 1: I mean, wait, wait, stop right there, mister, stop right there with and now we've got AI that's going to predict the future. I mean, the problem with predicting the future is that you could probably hammer out a likely scenario, but at any given moment, you know, you'd have a curve ball coming in that throws all of those assumptions into chaos. Right, So, I mean, when you're talking about what's going to happen in the future, what exactly are you talking about? Are we going to you know, talk like, because I say to and predict the future all the time, we're going to spend ourselves into oblivion. But what exactly would.
00:07:46
Speaker 3: That look like? Yeah, that that butterfly that's slapping it swings on the other side of the planet, that's causing an earthquake or a volcano on the other side of the planet. We would be able to to go back and find those original causes of these changes. So piecing all these details together, it's impossible for humans to do anything like this, But for a maximumly curious AI system that's recursively self improving, that has all kinds of possibilities that we've just never imagined in the past. That's why I find this hoping so fascinating.
00:08:30
Speaker 1: Well, it really does show the sort of and I don't want to use the word ethical, but it feels like this falls into the realm of the ethics of an AI, right, like how deep are they how deep are they going to dig? How far are they going to go back? Are they really in a search for truth or are they just going to regurgitate back? The easiest thing for the asker to get right, the asker to receive. Because if you ask someone, hey, what was the cause of the Civil War and an AI comes back with, well, there was a pushback between agrarian and urban societies that led to economic unfair and I mean here there's what they want to know is what was the thing that is most likely to be blamed for the cause of the Civil war? Right? I mean at what point how does this get programmed? What what silo does this go in?
00:09:18
Speaker 2: Well, yeah, do we put limits.
00:09:21
Speaker 3: On it because otherwise it uses up all the resources. I'm planning to try to come up with that. See when when we had the TV show The Prices, right, I think this is always fascinating that Bob Barker had come out and need show you what's behind door number one and door number two and then and then it's always would you want to keep one of those? Or are you on to trade it for what's behind door number three? And that's that's always sparked our curiosity, and that's kind of symbolic of how we think about things. U. I always want to know what's behind door number three, And so we're constantly looking at what caused that to happen? And then you step back in another generation say, well, what caused those things to happen?
00:10:13
Speaker 2: What caused those things to happen? And this, this to me, just.
00:10:20
Speaker 3: Raises so many interesting possibilities that we have to absolutely set limitations on it so we don't exhaust our all planet ears resources trying to figure these things out. But then, I mean, if you want to get into major philosophical questions, it's you get into why does anything exist?
00:10:43
Speaker 1: Stop it now? It is like talking to a four year old and what do you And you're like, wait, what, I didn't realize. I thought we were just going to read a story and go to.
00:10:51
Speaker 3: Bed, right right, yeah, And so then you get into really the deep meanings.
00:10:59
Speaker 2: Of the entire planetary system exists.
00:11:04
Speaker 3: Twas if you're religious why does God exist? Why does anything exist at all in the universe?
00:11:12
Speaker 1: And then that is number forty two. Let's talk for a second a little more expansively about the whole Earth genealogy project, because what's funny about this is I was bored the other day, and I know my father's lineage because one of my family members did a family tree, and I've got that. But my mother's mother was always something of a mystery, right, and no one actually knew her maid name. She immigrated over from Hungary, came back, my grandfather, went to medical school in Budapest, and came back married to my grandmother. So I was like, you know what, I'm just going to turn chat GBT loose on this and see if we can come up with my grandmother's maid name. Okay, just for fun. I don't even really care that much. I just thought it would be fun. In thirty seconds, chat GBT asked me several questions and then we found a marriage certificate for my grandmother, so I knew my grandmother's maide name. It was incredible to speed with which I was able to get to that information. And it's interesting because you begin to realize, especially in the United States of America. I think that everybody is like, we're all mutts right in the United States. We're all not all of us, but a lot of us have this this very mixed heritage of you know, various parts of the world and the whole Earth Genealogy project. You're saying we can map every human connection.
00:12:34
Speaker 3: Right all the way back to Adam and Eve, and that's that gets uh, yeah, I think it gets really interesting.
00:12:44
Speaker 2: A lot of a lot of these records.
00:12:46
Speaker 3: Are are kept by ancestry dot Com, which was started by the Mormon Church, and and so those records have somehow stayed private. There's aid secret so the AI systems have not been able to scan those yet, as to my understanding anyway, And so if.
00:13:10
Speaker 2: We were to, should should our.
00:13:14
Speaker 3: Ancestry be disclosed? Do organizations have a right to keep our history private? I'm not sure how to ask that any other way.
00:13:29
Speaker 1: Well, aren't you ultimately talking about something that I wanted to talk to you about? Anyway? So there are apps that do certain things, right, you have apps that you play games, you have apps to do this. So now there are a lot of apps that are very useful that I've had on my phone for a long time one that I can take a picture of a plant and it will tell me what that plant is, you know, things like that. But increasingly I can take a picture on Chat and get that same information for free. Now to your point about how long is be you and the Mormon Church going to be able to keep those records private? Part of that is because they charge you for access to those And in their defense, Thomas, they did gather all that stuff up, right, I mean that was their project, so they gathered it all in one place. But at some point are we going to see an erosion of sort of these different little applications that people may pay two dollars for or you know, a month or whatever. Are because I got to tell you there's apps that I've used for a long time that I'm like, I don't need it anymore? Why am I paying for it?
00:14:33
Speaker 2: Right?
00:14:33
Speaker 3: Right, just the way things are evolving at the moment, it seems like it's inevitable that something will somebody will figure out a system that can seep in ways and uncover this real world data that's out there. And should they be compensated for that, I think absolutely, But I don't think they can keep it a secret for too long. That's that's just my own personal thinking. I would I would love to be able to go back and trady so on my history. I'd love to get a video clip of Napoleon, video clip of Archimedes. Yeah, just all of these people that we hear about in the history books, that information about them is somewhere out there. All this information is probably stored in some rock somewhere that turn AI system risks on it and spend twenty twenty trillion dollars trying to find out what's in that rock.
00:15:53
Speaker 1: That Are they using AI to decipher ancient languages or hieroglyphics or stuff like that, because that would seem to be incredibly useful.
00:16:02
Speaker 3: Yeah, yeah, they are using it for all of those things, and we're going to find more and more ways to use it as time goes on.
00:16:13
Speaker 2: So the other day I was I had been given this.
00:16:18
Speaker 3: Piece of artwork, a painting of some horses I was given.
00:16:24
Speaker 2: That was given to me by.
00:16:25
Speaker 3: A Korean artist when I was over in Korea, and I was hanging on my wall and I was just sketching my head saying, I wonder what this is worth? So I took a picture of it, and I explained where it was and how I received it, and it wasn't able to come up with any valuation that was meaningful in any way at this point. But I got to think that sometimes are not too distant future that we'll be able.
00:16:51
Speaker 2: To find that out. That's cool, that's really cool.
00:16:57
Speaker 3: So I mean, you can go to take a picture of your house. How much is my house worth?
00:17:02
Speaker 2: Today? Oh?
00:17:04
Speaker 1: You know what I just did with Okay, this is what we're looking at, buying a small home near our kids in Ohio. But all of the homes around them are so ugly that I just can't. So now I take the picture of the front of the house, and I uploaded a chat GBT and say give me an update that costs me less than five thousand dollars, and Chat does. So it's like, I mean, there's so many different ways to use it. But the thought of it becoming superior to the human brain in a sense that we're talking about here, and having that level of maximum curiosity and being able to dig down and give more complete answers, that's a little bit scary to me because at that point you start to wonder why are we even here.
00:17:47
Speaker 2: But we're very complex people.
00:17:51
Speaker 3: If that's an example, I want I give the command to my AI.
00:17:58
Speaker 2: System to be the guardian.
00:18:00
Speaker 3: You know, it's human. I wanted to guard me. I wanted to protect me. Then it has to know all the things that I find valuable as well.
00:18:11
Speaker 2: So how does it.
00:18:13
Speaker 3: Not only guard me? How does it not only protect me? But how does it protect my community? The people that are in my neighborhood, that are in my city, that are in my state, that are in my country, that are that might go to the same church, that might belong to the same groups that I belong to. And then it starts getting really conflicted because not all these people are things actually think the same way, right, So you guard one thing and then you other things go unguarded then so but it raises all kinds of I don't know these fascinating questions. Is we're going to be losing jobs very fast here as AI grows in significance. So the World Economic Forum puts it at ninety two million jobs will disappear by twenty and thirty, and some of them have already started to disappear. But it also said that it's going to create one hundred and thirty three million new jobs. Now, the new jobs do not instantly absorb all the ninety two million that.
00:19:28
Speaker 2: Are going away, because not everybody's.
00:19:31
Speaker 3: Being programmed as being relevant for this new economy that's being developed. So that's one of the reasons I've actually started a new sub stack series on the relevance gap, and so I'm talking about how people need to go about staying relevant in the future.
00:19:55
Speaker 1: Amen, that's all on your website, the future speaker dot com, right.
00:20:01
Speaker 2: That one.
00:20:03
Speaker 3: Yeah, it's just starting to get up there right now. So yeah, the relevance gap is just something new in the last couple of weeks.
00:20:13
Speaker 2: So okay, Well, I've.
00:20:14
Speaker 1: Got links to all of these stories we talked about. They're super interesting. You really should go listen to them. Thomas Frye, I appreciate your time today. We'll talk to again next month.
00:20:22
Speaker 2: All right, appreciate it.
00:20:23
Speaker 1: Thanks, all right, man, we will talk to you later.
