Ep136: Hurricanes, Health, and the Role of AI

In this episode of Welcome to Cloulandia, We delve into a range of topics, starting with the impact of natural disasters like hurricanes, discussing their unpredictable effects and the challenges of recovery in affected areas. The conversation transitions into a discussion about health, where insights on traditional Chinese medicine and its approach to addressing common illnesses are shared. We highlight how ancient practices like herbal treatments and scraping therapy remain relevant today.

We then explore a fascinating scientific discussion on fructose and its historical role in human survival, as well as its connection to modern health issues like diabetes and dementia. The implications of diet and sugar consumption are examined with insights from experts who have dedicated their careers to studying these links.

Turning to technology, We discuss the evolving role of artificial intelligence (AI), highlighting its potential in creative and practical applications

SHOW HIGHLIGHTS

Dan and I discuss the impact of hurricanes, focusing on their unpredictable effects and the recovery challenges faced by affected regions. I share insights on traditional Chinese medicine, including treatments like herbal remedies and scraping therapy, and how these methods address common health issues. We examine the role of fructose in human survival and its modern connections to health problems like diabetes and dementia, drawing on expert perspectives. We explore the evolving applications of artificial intelligence, discussing its potential in creative fields, communication, and education. The conversation touches on the limitations and risks of AI, including concerns about quality and the pace of technological adoption. We reflect on the technological history of politics, discussing how innovations like FM radio and cable television have influenced public discourse over time. We share observations on the psychological and societal effects of rapid technological advancements, including shifting expectations for speed and efficiency. The episode highlights examples of AI in action, such as automated customer service and editing tools, and their implications for productivity. Dan and I discuss the contextual complexity of decision-making, emphasizing the importance of considering multiple factors in understanding trends and behaviors. We conclude with reflections on how these topics intersect, offering a perspective on the evolving relationship between technology, society, and individual experiences.

Links:
WelcomeToCloudlandia.com
StrategicCoach.com
DeanJackson.com
ListingAgentLifestyle.com

TRANSCRIPT

(AI transcript provided as supporting material and may contain errors)

Dean: Mr Sullivan, you have survived the hurricane, I survived the hurricane. Yes, we actually got almost nothing in Winter Haven.

Dan: Yes.

Dean: Winter Haven lived up to its name.

Dan: No, I checked the weather condition in Winter Haven just in case I'd have to send an emergency package.

Dean: Yeah, emergency, that's right we ended up. It was very. You know, it's a perfect example of you know when the hurricanes are coming. Of course you start out with that. You know the national news oh boy, there's a hurricane brewing, there's a tropical storm, it's forming in the Caribbean right now, or it's forming below Mexico or below Cuba, and then every day this is intensifying all the language, all the total emotional language, and then this is going to be devastating. And then you see the big buzzsaw working its way through the Gulf of Mexico on its approach to the mainland, and it could go anywhere, dan the cone of probability.

And this one luckily stayed far enough to the west that we really got nothing. I mean, I got one band of wind and rain. It was like one of the outer perimeter bands, but not to say that it wasn't a devastating hurricane, because the whole the Gulf Coast, like in Tampa and St Petersburg and especially up in the Panhandle, they got really like rocked with this. And then North Carolina is getting pummeled with flooding and I mean like unbelievable stuff that's going on.

Yeah, it's wild. You know our friend Chad Jenkins. He's got a place in, or had a place in, the mountains and the whole road going into the community just washed away, you know those guys are gonna be. I mean it's gonna be a long cleanup to get up from under all the flooding and stuff that's happened in North Carolina and most of you know Georgia and North Florida, but just shows you what it was?

Dan: Well, it must have gone pretty far north, because Joe Polish was doing an event, supposedly today.

Dean: In Cincinnati, yeah.

Dan: In Cincinnati and the stage got destroyed.

Dean: I saw that. The whole event, so it got pretty far north yes, yeah, because cincinnati I mean I think two things there, right that that's. Most people don't realize actually how far south cincinnati is, as you know, you know, it's almost kentucky, basically kentucky.

Dan: So yeah, you can see. Well, comington is right across the river. You know Exactly.

Dean: But still.

Dan: I mean compared to Florida, it's pretty far north.

Dean: Oh yeah, You're absolutely right. Yeah, you're home safe.

Dan: Oh yeah, yeah, no, it's been nice here, it's been you know we've had probably the classic summer in September this year, I mean here it is almost the end of the month and all the leaves are completely green. We have a big Lots of leaves. We have lots of leaves with big oak trees that we have in our compound. We have six or seven, I think, seven big, seven big trees. But, nothing's turned yet, none of the colors have started yet, but it's been warm. It's been. You know, yesterday was 73, 74, which is great.

Dean: It's the best. It's the best.

Dan: Yeah, it's been terrific, and yeah sorry you couldn't make it to.

Dean: Genius Phoenix, yeah.

Dan: It was great. It was great. Who'd you catch that call from? I forget.

Dean: Oh my goodness, Super spreader, super spreader Sullivan, that's you.

Dan: Yeah, what was that? But?

Dean: that came on fast.

Dan: You know he.

Dean: We had brunch on Saturday were there was nothing going on. We had dinner sunday night at your house and then monday, you were like full in the throes of it. And then we had dinner monday night and of course I was right beside you and by by Wednesday I went downhill, you know, and I could tell that it was coming on bad and I was supposed to speak at Giovanni's big event in the Arcane Summit, but I could tell I was going downhill. And then, thursday I switched my flight to come back to Florida because the original plan was I was going to speak at Giovanni's event and then on Sunday, fly to Phoenix for to be with you guys.

Dan: Yeah, but anyway I made it home.

Dean: I made it home just in time. I went full immersion in you know self-care, nipping in the bud, I think the warm, moist air really a lot to get rid of it yeah, well, you still sound like you, I was just gonna say you still sound yeah, no, I still, yeah, I still have it.

Dan: Yeah. So we went to we have a really great chinese doctor here in toronto and uh you know, he does everything through pulse and he took my pulse and yeah his name's dr zhao and you know I've got a track record going back 20 years where you try this, it doesn't work. You try this, it doesn't work. You go to a doctor, it doesn't work. Then you go to dr zhao and within three or four days, then take these little.

Dean: I went to a chinese doctor one time. No, they're herb.

Dan: He gives you little packets of herbs and you make them like coffee and it's foul tasting, as it should be, and three or four. I can feel myself coring up already. I went on Friday and we have a Vietnamese massage therapist going back 30 years now. She's been with us since 32 years and she does scraping. Do you know what scraping is?

Dean: I do not.

Dan: Is that? No, it's. You know, she scrapes the skin hard. You know it's hard. Yeah, it's painful, it's actually quite painful. She did it on me. I just came from that about an hour ago.

Dean: What is she scraping it with?

Dan: Well, I don't know what it is. It's like stones. A special tool, it's like stones, oh, like bones. Yeah, sharp stones, you know.

Dean: Bone things.

Dan: yeah, and she doesn't take the scalp. You know she doesn. She doesn't take your scalp off, she just scrapes your back and scrapes your chest and it releases all the phlegm. You know the interesting word phlegm? So Chinese and Vietnamese in a space of three days and I'll be as good as new on Wednesday. In about a week. Takes about two or three days.

Takes about two or three days you know I'm very, you know I've got a lot of compartments in my brain and people say you don't believe in that stuff. No, I do. And I said I think it works, even if you don't believe in it.

Dean: Right, that's exactly it.

Dan: Yeah.

Dean: It's not up for debate. That's funny. Yeah, well, you went to the Chinese have.

Dan: yeah, well, you went to the chinese have lasted.

Dean: The chinese have lasted a long time, you know, and I guess some of it works did you go to canyon ranch?

Dan: this time no we just we went to richard rossi's. Oh, that's what it was, I knew there was something yeah yeah, what was the big.

Dean: It was good. Yeah, what was the big yeah, there he had to.

Dan: Richard is just terrific in his curating of scientists. You know, he had a lot of scientists come in and talk and we had two especially one of them around 70. And he's been looking into the impact of fructose pretty well for 60 or 70, 50 or 60 years.

And he really says that fructose is basically involved in anything bad that happens to you. You know, almost every kind of ailment and disease there's a fructose trigger to it. And he said and it was once a very good thing, when you know, thousands, tens of thousands of years ago, when we couldn't count on food, you know the food supply was not a predictable thing and he's just traced it to three or four genes. That got changed back in the prehistoric times when it was very necessary to stock up on fruit. You know, eat fruit as much as you could before the famine season came, usually winter, you know, sort of. You know there wasn't any food.

And Buddy said then it's, you know, it was good at one time, but now we're in different conditions and now it's a problem. So anyway, he was great and I'm going to have him as a speaker at CoachCon 26 in Orlando. His name's Richard Johnson. Yeah, fascinating guy. Yeah, fascinating guy. And his whole career has been based on taking his research as far as he can and then finding someone in the world who has mastered the whole area that he's just entered.

And he does a collaboration with them and then they create something new, and his whole career has been these collaborations with people who are more expert at what he's just discovered. And then they together do something even beyond what either of them have done before. So he's going to do one day on fructose and he's going to do the next day on collaboration.

Dean: Oh wow, is he mad at fruit? Is he mad at fruit? Is fruit considered the same thing or is he talking about? No, it's Coke, it's Coca-Cola.

Dan: That's what I mean. Like the fructose corn syrup, but not naturally. No, he's not against fruit. He the process, the intense fructose that they use, you know, to get people addicted to other kinds of foods yes, oh exactly, yeah yeah wow, but it was very interesting just how step by step, how step, he tracked down sort of the culprit.

You know, and he said that pretty well, almost anything bad that can happen you. There's a fructose trigger in it. And you know and he said that pretty well, almost anything bad that can happen to you. There is a fructose trigger in it. And you know, then, including dementia, like including dementia and well diabetes leads to dementia. You know. They now have a pretty clear connection between diabetes and dementia.

Dean: And yeah, that was what they're saying. I heard somebody refer to it as pre-dementia. Diabetes is pre. Like you know, everybody's walking around with pre-diabetes and the next level of diabetes is pre-dementia.

Dan: Yeah, yeah, and then pre-dementia is pre-presidency.

Dean: Oh my goodness, exactly. It's almost like a requirement.

Dan: It's almost like a requirement. It's almost like a requirement. It's almost like a merit badge. Yeah, when we're coming down the stretch it shows one thing We've had a virtually uncapable person in the White House for four years and the country still runs. That's what I mean.

Dean: That's what I really see. I think it's yeah.

Dan: I mean, I don't think it gives you the sense of momentum that probably a good president would do. But here we are, you know, and who knows who's actually been making the decisions for the last four years. You know, it's an interesting test case, you know. Yeah, I don't think the israelis could get away with that oh my goodness, I just saw I think, they need someone. I think they need somebody right on the job, you know in the moment at all times they don't have much margin for error no, exactly yeah, that's wild huh.

Dean: Well, I mean, uh, I just saw you were coming now into october, very around the heels here. So we're coming down the home stretch ready for the october surprise. Dan, everybody is all wondering what's the October surprise going to be, you know?

Dan: Yeah, there may be no surprise.

Dean: That could be the surprise, right there.

Dan: Yeah, yeah, it's hard. It's hard to, you know, impose the past on the future. You know I mean it may, nothing may happen, it may just go along the way it is. Nothing may happen, it may just go along the way it is. But I feel that the Kamala is losing ground. Each week I get a feeling that there's this kind of erosion.

that's happening week by week but she doesn't have any message. As a matter of fact, she's avoiding messages and I think it's hard to get the ground troops excited when you don't have a message. It's hard to get you. You know it's hard to get the check writers interested, probably in the last 33 or 34 weeks when you don't have a message.

Dean: One of my favorite things that happened was I don't know whether it was an official ad or whether it was a meme, but it was Kamala saying if Donald Trump wins, there'll be the largest mass deportation in American history. Can you imagine what that would even look like? And then it ends and it goes. I'm Donald Trump. I approve this message. How perfect is that.

Dan: Can you even imagine what that would look like? I'm Donald Trump. I approve this message.

Dean: How perfect is that? Can you even imagine what that would look like? I'm Donald Trump. I approve this message.

Dan: I think he's a rascal.

Dean: But that's like so funny. Now we're getting somewhere.

Dan: Yeah, oh, yeah, yeah. Even my opponent is working for my campaign.

Dean: Exactly. Oh my goodness, so funny.

Dan: Yeah, yeah, yeah, yeah, yeah. But you know, I think that there's kind of like an American center at any given time, like yeah, this is my yeah. What is it I started voting in? 68 was the first year that I voted. First presidential election because it was. The voting age was 21 when I was 20 and 64. I was 20 and 60. So I couldn't vote for the presidency in 64, so I had to wait until 68.

And so you know, that's a whole number of years. It's 32, it's 56 years, so this is my 14th election and the thing is that at any given point there's sort of a center to things and I think the center moves around. But the person whose activities and message most corresponds to the American center during presidential year wins. You know, they just win I think it moves and I think America is a bit of an ADD country, you know that hyper, focusing on something different.

you know every presidential cycle something and I just get the sense that there's she's not in the center. You know, you get a feeling that what she says and how she talks about it, it's just not in the center.

Dean: Oh, and there was another ad showing. You know it was taking her words from 2020 and then exactly saying the opposite right now. Like every you know so like, thing after thing, her complete change on positions. You know it's pretty wild to see when you and she says things with such conviction and matter of fact it's like there can be no other way than this. Like how do?

you not see this as the thing, and then she's saying it with the same tone and the same conviction the exact opposite thing. It's pretty amazing. I started watching last night, about halfway through, a documentary about Lee Atwater. Does that sound familiar? He?

Dan: was quite Lee really changed American politics.

Dean: Yeah, I didn't really know about him. I'd heard the name, of course, but yeah, this documentary really kind of digs into it. I didn't realize he was Karl Rove's mentor and so pivotal in Ronald Reagan and the Bushes.

Dan: Yeah, he was the first of the take no prisoners, so there's a lot of shenanigans going on, so there's always been shenanigans.

Dean: I guess that's really the thing Whenever the stakes are high, clever people are going to dream up shenanigans.

Dan: Yeah, he was the one who George Bush Sr the outrouter was this is 88, 1988.

Dean: Yeah.

Dan: And he took down Dukakis in about three weeks. Yes, dukakis was kind of a, you know he was a governor of Massachusetts and sort of solid you know solid record and everything else. But boy, he was not prepared at all for the type of things that happen when you run for president, I mean when it's nationwide governor who's been basically in one state for all his political career, you know, just doesn't have the experience to deal with what can happen on a national level. I think that's one of the things that gives Trump the edge, I think is the fact that this is his third complete national campaign. So you know, from everything I've read about him and everything, I think he's a fast learner. You know he adjusts quickly to new circumstances, and so I think that just understanding how the entire campaign works, in it.

you know it really starts about 18 months before the election day and you know to know exactly, step by step, what's happening, I think is a huge advantage.

Dean: And it became clear watching the Lee Atwater thing that it's really it's most with what I was, you know, thinking, reading in same as ever. You know where the whole thing is, that good news takes, you know, build slowly and against resistance, and bad news gets is immediate, and that was what his thing was, what he found, what he said he found fascinating is you could end somebody's entire career in a day, that it could all fall apart. You just had the right thing that hits the right chord and it catches fire. And in another election he was accused or suspected of arranging this third party candidate to say the things that the primary candidate couldn't say, draw attention to this candidate's lack of belief in God, and it was really something.

Dan: I think he died around 90, 1991. He got cancer or something. He died young. I mean he wasn't very old. I think he was in his 40s when he died. It's really interesting when you look at the technological basis for politics and you know the left, you know, goes frantic. Left and right is an event. I don't know if you know where left wing and right wing or the listeners do. It comes from the French Revolution.

Dean: The French.

Dan: Revolution, they had a national assembly and on the right were the traditional landowners in France. So these were families that maybe for half a millennia had owned land and there was always suspicion in how rich people got their land back then. You know, you never knew how they got their land. And then there was the church, and the church was on the side of the landowners. And then there was the government, you know the monarchy. They were the supporters of the monarchy and they were on the right, and the ones on the left were actually the new news media, the new intellectual class and actually the bureaucrats, the new bureaucrats who you know the state was getting big and you had these bureaucrats and they were on the left. And so that's really you know where that term right wing and left wing really starts, and and you know it's gone through different shapes and forms over the last 250 years or so. And but what I believe is that after the Second World War, the mainstream of the university were basically the mainstream and they were actually.

Today we would say that they were sort of left wing and there really wasn't any right wing. There really wasn't right wing, because they controlled the magazines, they controlled the newspapers, they controlled the radio. Television was just, you know, just in its infancy, and there was one technological change that actually brought what we call the right wing today to the forefront, and it was FM radio.

And FM radio was possible in the 1930s or 1940s. They already knew the technology of it, but that NBC, which was the dominant network. Back then you had ABC, cbs and NBC, but NBC was the dominant and they didn't want FM radio. So they literally stopped it for 30 years and then the government had to overrule them and allow FM radio to exist. And when FM radio came in it became the radios of the big city because it's got very limited bandwidth.

Dean: You know it reaches.

Dan: I don't know bandwidth, I mean FM doesn't go more than about 30 miles. Pardon me, but it became the radio station of the universities and the big cities.

Dean: New York.

Dan: Chicago, boston and everything else, and they moved out of AM radio and they said we don't want that small town stuff, am radios. So they left a vacuum. What we would call the left wing today moved to FM radio like national public radio is all FM radio, which is left wing.

The NPR is the left wing medium. Based on today's landscape it's left wing and it just left the entire right wing with many more stations, but they had tremendous reach, like AM radio. You know, on a clear night in Ohio when I was a kid, I could get New Orleans, I could get St Louis, I could get Chicago, I could get New York, Philadelphia and I could get the charlatan radio from Mexico. Yeah, mean that was a million watt, million watt, radio station.

Dean: So you had these really powerful radio stations and they were just abandoned was the idea behind fm, that it it was a shorter length but a higher quality signal. Is that what was?

Dan: Yeah, yeah, yeah yeah, and you know, and it was available. So all these bandwidths were taken over by big city stations because you couldn't get the reach. You know you couldn't get the reach, but what you could make up with it was a denser population. So you would have a, you know, a big city would have a much denser population. So you would have a big city would have a much denser population. And what these stations got taken over by were religious congregations, preachers and everything like that, and they were against the mainstream government. Know, that's where Rush Limbaugh came along.

you know he became the and Billy Graham came along.

Dean: Right. Am radio is where you often think about. That was you know became talk radio. That's really where that all started, right.

Dan: Yeah, yeah, yeah. And the Democratic left in the United States just lost its control of AM radio, you know, and that was a big technological change. And then cable television came in. Of course you could have any kind of station, TV station.

Dean: So there was a technological basis to politics technological basis to politics.

Yeah, this is. I was listening. I've just been exposed in the last week here to the I think it's called Google Notebook, and it's the AI that you can load up you know some text or you know information into train, the kind of whatever the language tool is that it's drawing from, and it will create a podcast that's two people talking and explaining. You're making content about what you load up, for instance, like I just thought you know, it's pretty like it's amazing to hear these no, I listened to it.

Dan: I listened to it. Oh, you did okay for the first time.

Dean: Yeah, hamish what's?

Dan: hamish mcdonald's. Uh, yeah, yeah, it was a particular piece of legislation in. Prince Edward Island. And so the government was using Google notebook to explain it, and it's a man and a woman talking to each other. And they said, and I mean the discussion quality and the voice quality was really terrific Like it sounds like two real people but the thing was they were just uniformly enthusiastic and positive about the regulation or the regulations that were doing that and that was my tee off that this is phony.

Not phony, but artificial, right, you know I mean. I mean artificial. One of the meanings of artificial is phony. You know and everything. But it was really interesting to listen to it and I think it's good for education, explaining things you know.

Dean: Yes, yeah.

Dan: Because they go back and forth with each other, so I thought it was pretty good.

Dean: Huh, and just like. So you look at this as this, if this is crawling, you know, if you look at that as the beginning of it, because that's the first I've seen of that capability. It's really pretty. It's really pretty amazing what we're up against.

Just to put it in context, I heard someone talking about where we are now, the new I don't know how they number them, but the 0.01 or 01 or whatever now is the latest level of it context of a scale like the phases, the level five kind of thing, being the peak. You know, general intelligence, that that knows everything, this 101 or 10 or whatever it is. It was just tested at 120 IQ, which is higher than 91% of the population.

Dan: And it means that 91% of the population isn't going to understand it.

Dean: That could be. I mean, that's exactly right.

Dan: Or listen to it. Yeah, but they're saying that if we look at the scale.

Dean: If we look at the scale from 1 to 5, we're at about 2 right now, on the way to 5 by say 20 or whatever.

Dan: I don't know really what that means. Iq 120 about what? Yeah, I mean.

Dean: Yeah, I don't know I mean even IQ itself.

Dan: You know it's being more and more discounted, as you know, as any kind of, I mean. What it means is pattern recognition. I think the Q now comes back to pattern. But, for example, above 150, I mean there's's people, there's an organization called mensa I mean yeah, you know which is people? I think it's 160 or above and what they find is that they're kind of dismal failures. You know, yeah, you know.

Dean: No, I heard a thing that the actual, most, the most beneficial iq is about 125.

Dan: that it gets in the way yeah, yeah, yeah, I think it's the practical realm, the practical realm is 120 to 140. And you know that people think better than other people, but they also make better decisions and they take better actions. I think that's probably the realm, and it's very interesting when they compare all the IQ tests of men and women. They have different curves.

And so there's far more males below 100 than there are females in relationship to how many males. So a higher percentage of males are below 120 or below 100 and a much bigger percentage of males are above 140. And the women control the area between 100 and 140. I mean just statistically based on yeah, and so the idiots and the geniuses men have they struggle, that's funny, I had them.

Dean: so, yeah, I, yeah, I did. Years ago as an adult, though, I did my IQ just for fun, to see what. See where I'm at, and it's always 140, and which was see where I'm at. I was 140, which was very superior intelligence, dan, they call it VVSI on the tip of the I knew that the moment I met you. That's so funny. Yeah, I don't know what that means.

Dan: It was a good choice of restaurants. It was on Avenue Road.

Dean: That's exactly right, yes, yeah, that's right. Yeah, boba, yeah, yeah, so funny. So I think that this I remember saying to you a few years ago. I remember somebody tweeting which I thought was funny. They were saying however bullish you are about AI and circa 2030, you are insufficiently bullish, is what they were saying, and I thought those words just struck me as funny. But now we're starting to see, like, because that was even before ai, that was before t came out, because that's really only it's. It'll be two years in november, right that we?

got the very first, 30th, 30th of november well, the very first sorry, that's okay the very first taste of it. And look at how it's changed in two years. You can only imagine what it's going to be in 2030.

Dan: But I don't see any real impact of it out in the world. I don't see any impact.

Dean: Yeah, let's talk about that. It's not obvious.

Dan: Yeah.

Dean: I don't see anything.

Dan: Yeah, my sense is that we're sort of in a tinkering stage right now and that you give AI to one person and they do something with it. You give it to another person and they do something different with it.

You give it to a million people and a million people do a million different things with it, but I don't see any unity or focus to it whatsoever, any unity or focus to it whatsoever. And it's bothering the investment markets, like Goldman Sachs, the big investment bank, who they're sort of alert to trends in the market because that's how they make their money. They said that they're very disappointed that in two years there's been billions and billions and billions of dollars spent in corporations bringing in AI, but they don't see any results whatsoever yet. So I think it's. My sense is that it's having a great impact, but it's not measurable by standard economic standards. It's not measurable, it's invisible standards.

Dean: It's not measurable, it's invisible, right, and I I wonder, like you know, I've been talking about and thinking about this. You know I almost liken it to the way when the iphone came out. We had all the capabilities that went with it, right, like the gyroscope and the geographic, you know, knowing where you are geographically and the accelerometer and the touch screen and all of those capabilities that it could do, and, of course, the first things that people did was make games that you could you know, the other thing is photography yeah photography really changed huh, and now you see, like yeah, because now the, but being able.

The big difference now with the ai is the sort of generative creativity, the photography and the things. I was laughed. There was about several years ago when AI was first start of sort of really getting legs. Before GPT, there were just the micro capabilities that AI was using. There was a website, and still is called thispersondoesnotexistcom, and every time you push refresh on the thing it creates a new image, photo image of a person that is an amalgam of all of the photo. You know millions of photos, and so it just is infinitely combining characteristics and hair color, hairstyle, eye color, skin tone, facial features, all of that to make a unique person that does not exist.

Those are now along with the. When you couple that with the capability now of creating video avatars, like the AI videos, that you can have them say your script you know in, and it looks like a real person doing those things and it's just. I think, as all these capabilities come together, it's going to be a lot like the app store, where people are going to corral these capabilities into a very specific outcome. You know that you can. You know that you can tap into. I mean what a time to be a creative right now, you know, in terms of having vision and being able to pair up with infinite capabilities.

Dan: Yeah, it's kind of you know I mean, there's some interesting insights about that that you're still constrained by one thing, because that on the receiving end of all this, people can still only think about one thing at a time. Okay, and you know so, you're not going to speed up anybody's intelligence on the receiving end. You may speed up your intelligence on the grave, but you're not going to speed. As a matter of fact, you may be dumbing them down at the other end.

But what I think it's going to do is big systems. I mean, one of the great big systems that's been created over the last probably 50, 60 years is air traffic control. So there's not been a commercial accident in the air. I think it. You know, it may be 15, 20 years, I don't know.

The last time, two planes collided in the air Right, right Like a collision in the air. And there you know, if you go back to the 30s, 40s and 50s, there were quite a few, you know, fog or something and everything like that, and so I think it's going to be big systems, like big electrical systems. That's where you're going to see the impact. I don't think it's going to be at the individual level. I think it's going to be at the big system level, and my sense is the Israelis are doing a lot of this at the big system level and my sense is the Israelis are doing a lot of this. I think the Israelis and you know the precision bombing they're doing now is really quite extraordinary, like they killed the head of Hezbollah on Friday.

Dean: I just saw that. I saw something about that. I didn't have a chance to dig in, but that guy yeah.

Dan: And they? First of all, they phoned everybody in the neighborhood within 500 meters and they said get out within the next 20 minutes because we're going to be bombing some buildings. So they have everybody's phone number.

like in Beirut and Lebanon, they've got everybody's text number and phone number and they just mail them and says you know, get out of your building because there's bombs coming, you know. And so it was colossal. They cleared a block. I mean, when you look at it's three buildings and there's nothing but rubble and everything like that, well, there are hundreds of people around there. I think two people got killed and you know 50, 50 were injured, but I think you know typically technology leaps ahead in warfare, you know 50-50, we're injured, but I think you know typically technology leaps ahead in warfare, you know that's number one.

Number two is games, you know, and the gaming industry is probably using this extraordinarily quickly and you know, and other forms of entertainment, other forms of entertainment, that's where it happens. But yeah, I'm not seeing the big jump. You know, I hear, you know Peter Diamandis sends out this is going to happen. And then you extrapolate in a straight line Well, because they're IQ 120, you know, in five years is going to be IQ 180. But most humans with 180 IQ are pretty worthless yeah you know they can't change a tire.

You know they have problems in practice, right exactly yeah, they become more impractical and it's not clear that, beyond a certain amount of it, that intelligence is that great an advantage? You know, I don't know, I'm not, you know I'm, don't know, I'm not, you know, I'm just not convinced. Yet I mean, I use, you know, perplexity, and you know I really like perplexity because it gives me nice answers to things. I'm interested in, but not once has anything I've done on perplexity actually entered into my work.

Dean: Right, you know it's Stuart Bell who runs my 90-minute book team. You know we were having a conversation about it and you know they're integrating into the editing process some.

Dan: AI.

Dean: So the first two passes of editing are now AI. First two passes of editing are now AI and he was amazed actually at how good it is. Most of the time the editing process is reductive, meaning that there's less. You put in this many words and you come out with something less than that many words. But this past, the way they've got it going now is it actually is a little bit expansive and you come out with about 10 more words than what it was, but reads. But reads very, you know very easily. So so he's very impressed with the way that's gone and it happens in moments rather than days of going through a traditional editing process. That was always the biggest time constraint.

Dan: Bottleneck is the editing process, but that means that you can only charge less for it. Time constraint, bottleneck is the editing process, you know.

Dean: Yeah, but that means that you can only charge less for it. I mean, let me just pose a counter possibility. Wait a second now yeah, possibility.

Dan: I had a lawyer once and he said everything went to hell in the legal industry when fax machines came in, and he was explaining this to me that he said it used to be that you'd go and have a meeting with the client and then you'd go back and he would grant you three or four days to make revisions and then you know, send it by courier and over yeah and he noticed that over the first two years of fax they expected the revisions to be back that day so if things speed up people's expectations.

People's expectations jump to saying well, you know, you just ran that through the ai, so why should I pay you for? You know I would. It take you three minutes to do this, you know why should I but? You put yeah. So my sense is that there's an economic factor that doesn't increase when the speed increases. Actually, the economic factor decreases as the speed increases.

You know it used to be that they gave you two weeks to come up with a. You know a script for a play. Now they want it back an hour after you've talked you know, because they say well, we're not. We know you're using the ai and so you know we expect it to happen sooner you watch.

I mean, we'll just keep track of this on our podcast as we go over yeah, but once you have a tech, once you have a speedier technology, people's expectation of speed goes up to match what other evidence is there for that?

Dean: what other analogs?

Dan: well, fax machine, yeah, fax machines and an email. Yeah, email very definitely, but the world hasn't slowed down with faster technology.

Dean: No.

Dan: No, everything's gotten faster. It's like sugar.

Dean: Yeah, sugar.

Dan: Everything speeds up. Everything speeds up with sugar.

Dean: Yes, exactly, I don't know.

Dan: You know, all I know is, in my 50 years of being an entrepreneur, I don't feel I've ever been at a disadvantage by adjusting to technology slowly.

Dean: Yeah, it's just I just see now, if you take the through line of where things are going. Like I was really kind of amazed by this couple on that Google Notebook podcast, Like just that as a capability is pretty amazing. You know, I think you know and you're seeing now, those AI, you know telephony things where you can talk to an AI.

Dan: A lot of it is things in sales they're doing. Chris johnson yeah, chris johnson in prezone really has an amazing.

It's a calling service yeah so he had 32 callers and now he's got five callers and that's a real noticeable thing. And the software and I he gave a an example is about a minute and a half of the caller calling a woman and she's got it. It's. She's got a slight accent I can't quite tell what the accent is, you know, and but she's very responsive. You know she's very responsive and their voice modulation goes up and down in response to the person who answers the phone call you know, and, as a matter of fact, he's the person who answered the phone sounded like a real deadhead.

So we were about halfway through and I said to Chris. I said which one's the robot? I can't quite tell.

Dean: Which one is the?

Dan: robot. The person who answered the phone was just really dead. He was really monotonic and everything like that.

Dean: But the caller.

Dan: She says, oh well, she says you know. She says you indicated interest in finding out more what our company does. And I'm just calling to schedule where we can give you a little bit more information. I'm not the person who does that. I'm just going to set up a meeting where someone can talk to you and it won't last more than 10 minutes, but they're really experts, and so I'm looking at the schedule for tomorrow and I've got 10 o'clock and I've got 3 o'clock. Would one of them be useful for you? He said something like 3 o'clock and I've got three o'clock. Would one of them be useful for you? He said you know something like three o'clock. He says, good, I'll put you in there. And he said you know, we just want to give you the kind of information that would indicate if you want to go further in that and everything like that. So thanks a lot for this and it was really good.

But that that AI program can make 25,000 calls a minute.

Dean: That's crazy isn't it?

Dan: In other words, if people answered the phone as a result of sending this out, you could have 1,000 people talking at the same time. Now, I see that as a real breakthrough.

Dean: Yeah, agreed, I mean that's kind of ridiculous.

but yeah you think about that? I you know, when I started out in real estate I would do. I was making a hundred cold calls a day, but I was doing a survey. Was my, was my approach right? So I was saying the same thing. My idea was that I was going to call through the phone book for Georgetown, but I didn't want to, and then I would make a record of I had little or D, and I would only, of course, then follow up with the ones who were willing, happy and had a potential need in the future. That was my game plan and I would make these calls.

I was just thinking now how easy it would be for an AI to do that now, like I would just call people. I'd say hey, mr Sullivan, it's Dean Jackson calling from Royal LePage. We're doing a quick area market survey. I wonder if you have a minute to be included, and most of the time they'd say no, or sometimes they'd say yes. But even if they said no, or I would just say it's just five questions that take one minute, I promise, and most people would go along with that and then I would just ask them have you lived in Georgetown for more than five years and how many years in your current house and how'd you happen to choose Georgetown?

And then, if you were to move, would you stay within Georgetown or would you move out of the area? And then, whatever they said, I said when would that be? When would that be? That was the punchline of the whole thing and it was so. You know, it was so amazing, but I could you imagine making 25 000 of those calls in one minute. You call george, every household in geor, those calls in one minute.

You call every household in Georgetown in one minute and identify all the people who were, because I could imagine an AI saying having that exact interaction that I just shared with you, right? Oh yeah, just the yeah, we're just doing an area market survey. Wonder if you'd have a minute. It's just five questions, one minute, I promise, and then go right into it. I mean that's pretty amazing. You know, if that's a possibility, that's a pretty.

Dan: Well, I think you know. I mean, here's where you're. You know we're at the crawling stage with it, but again it all depends on whether people answer the phone or not, right?

Dean: We're finding about a third. So we've got a lot of our realtors and others are, you know, following up with people who request books. So when they dial about a third of the people will answer the phone.

Dan: Basically you just never reach me. But yeah, my sense about this is that there's very definitely an increase in quantity and I'm not convinced yet that there's an increase in quality, you know right.

Right, you know quality of experience and so, for example, you know quality of experience and so, for example, what Hamish McDonald was sending me had to do with the piece of legislation, because there's something that they want to do and it requires following the rules of government ministry. But it was a little too cheerful and enthusiastic. I found the couple's talk. There would be no negatives in it. And I've never had any experience with government that didn't have a negative in it. So, from a possibility.

Dean: I wonder if you could have. I wonder if you could, you know, prompt one person to take the positive one, to take the negative or debate it.

Dan: You know, debate fun to take the negative or debate it. Yeah, you know, debate could be, you know, yeah, but my, my sense is that we get better at spotting dishonesty.

You know like yeah, my sense, I think one of the like I. I have people who use ai all the time and you know, and they send me something and I read it and then we have a discussion over the over Zoom usually, and I'll say I didn't quite get it from what you wrote. There was something missing from. So I'm just going to ask you a whole bunch of questions like content wise. But the context is the real. You know, context is hard to grasp unless you're telling the truth, you know, and the reason is because you have to be touching about 10 different points, and one of the things I find with perplexity the AI is I've got this sort of way of approaching and perplexity always has to tell me 10 things about the subject I'm interested in. Okay, so 10 things.

For example, I asked, I put in 10 reasons why evs are not being adopted as quickly as was predicted okay and 10 and phew, 10 of them, and you could see that each of them was a little bit of a game stopper. But when you put all 10 of them together it really gave you a sense of why there's a lot of late nights in the EV world right now, trying to figure out why things aren't happening as fast as they could be.

So that's a contextual answer. It's not just, and what I've discovered from working with perplexity is there's no reason. There's no one reason for anything in the world. There's always at least 10 reasons why something happens or why something doesn't happen, and everything else.

Dean: Yeah.

Dan: I'm being educated. I'm being educated, but it's just something that's developed in the relationship between me and the AI. You know, because if you say what are the reasons why AI is not or E-MAT being adopted as quickly as we thought, I think the answer that came back would be very different from my tell me 10 reasons, because it just does what you ask it to do. That's exactly it.

Dean: All of it has to. You have to have somebody driving. Yeah, holy cow, it's top of the hour. Dan, that's so funny. I put up a post on Facebook today about just before we got. I told you, ai makes things happen faster it really does just even our real life conversation when you talk about AI, the hour just speeds by.

Dan: It really does anyway. Yeah well, you know it's a forever subject because we're going to be with it from now on.

Dean: I think that's true, yeah. Yeah, love it All right. Well, you have a great day, all right, and I will talk to you next week. Okay, Thanks, Bye.