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Is That Really Your Grandkid? AI for Gen X and Boomers · Connor with Honor: AI, Real Estate and Real Life

0:00
SPEAKER_00: So Generation X and uh generation uh and the the boomers, the baby boomers, right?
0:08
SPEAKER_00: You maybe you don't like that.
0:10
SPEAKER_00: Maybe, maybe that doesn't sit well.
0:11
SPEAKER_00: I don't think I don't think I ever met a boomer I didn't like.
0:14
SPEAKER_00: And what's nice about this whole thing is uh we're all here together.
0:18
SPEAKER_00: And it's still that human component.
0:20
SPEAKER_00: This is not AI doing this, but we are going to talk a lot about artificial intelligence and kind of maybe propose some solutions.
0:30
SPEAKER_00: Now, at the very beginning, if you happen to be one of those folks that's in living in one of them places with other folks like you, then uh you're here in Santa Clarita, maybe San Fernando Valley, maybe Palmdale, Antelope Valley.
0:46
SPEAKER_00: Uh make sure you get my booking.
0:50
SPEAKER_00: And uh that's gonna be my booking.
0:52
SPEAKER_00: What's that?
0:53
SPEAKER_00: That's gonna be bookwithhonor.com.
0:55
SPEAKER_00: Bookwithhonor.com.
0:57
SPEAKER_00: We can set up a time, you talk to your people, we'll talk to my people.
1:01
SPEAKER_00: Actually, I don't have any people.
1:02
SPEAKER_00: You will talk to me, and we can get set up uh me to come by and give a presentation to the other folks there.
1:10
SPEAKER_00: My main thing when I come talk to people of my generation and the one prior to me is uh I'm I'm not that 19-year-old trying to sell you anything.
1:19
SPEAKER_00: Now, I sell houses, right?
1:20
SPEAKER_00: But that's not why I'm doing this.
1:22
SPEAKER_00: And I sell AI stuff, not not doing this.
1:25
SPEAKER_00: I need to educate you.
1:26
SPEAKER_00: I was a police officer a long time, so it makes sense to me.
1:29
SPEAKER_00: While I was teaching those classes to cadets, people in the academy, of course, and then uh I was teaching other people, firearms, in-service people, and had a lot of community teaching as well about traffic.
1:42
SPEAKER_00: I was motors, worked a complaint unit.
1:45
SPEAKER_00: So, you know, those kind of educational processes, then DUI and drugs and radar laser, whole thing.
1:52
SPEAKER_00: But now with the way the world is, it's difficult to tell truth from non-truth.
1:58
SPEAKER_00: It's gonna say fiction.
1:59
SPEAKER_00: What is that?
2:00
SPEAKER_00: But anyway, truth from non-truth.
2:02
SPEAKER_00: And we're gonna see this even more as it continues to play out.
2:05
SPEAKER_00: People in our generation, and that's not just our generation, right?
2:08
SPEAKER_00: It's gonna be everybody is gonna get fooled by this AI nonsense.
2:12
SPEAKER_00: But I want to kind of back it up and talk about where it kind of came from.
2:17
SPEAKER_00: And this is gonna be in your wheeled house because you the generations I'm talking to were around in the 50s, maybe young in the 50s, but you were around when the people that you didn't even know or vote for were talking about this technology and it was all played out, and now we are at a whole different piece of the planet, whole different place in time, and now we have artificial intelligence, which name sucks, by the way.
2:43
SPEAKER_00: The reason why artificial intelligence for me is just a non-starter is because if you've ever had anything artificial, especially being in our generation, uh, it's not as good as the original.
2:57
SPEAKER_00: It sucks.
2:58
SPEAKER_00: Artificial is no good, doesn't work, doesn't taste good, right?
3:02
SPEAKER_00: It's not it's it's not as good as the real grass, the artificial stuff.
3:08
SPEAKER_00: People are gonna push back, but probably not in our generation.
3:10
SPEAKER_00: That's why, that's why this is important.
3:14
SPEAKER_00: So that being the case, I would venture to say that it's better more synthetic intelligence or another intelligence or human-created intelligence, computer intelligence, silicone-based intelligence, alien intelligence.
3:30
SPEAKER_00: I'll give you that one.
3:32
SPEAKER_00: Uh, entity intelligence.
3:34
SPEAKER_00: Yeah, you got you got a lot here.
3:35
SPEAKER_00: And this the reason why all of those things make the difference is because we are talking about intelligence, and intelligence was the game changer of all time.
3:46
SPEAKER_00: All of it.
3:47
SPEAKER_00: The smartest folks seem to cause the biggest problems.
3:50
SPEAKER_00: Well, or save the most people.
3:52
SPEAKER_00: You can, I guess you can cut that sword cuts both ways, no pun intended.
3:56
SPEAKER_00: But you do have a lot of the very, very intelligent people running the game.
4:00
SPEAKER_00: Now, we can argue who's smart in the White House and who's smart in other countries, heading those governments.
4:05
SPEAKER_00: And, you know, political smart is different than maybe functional uh common sense smart.
4:10
SPEAKER_00: And maybe you wouldn't want uh common sense smart in a political realm.
4:14
SPEAKER_00: Maybe, I don't know.
4:16
SPEAKER_00: But AI is now intelligence.
4:18
SPEAKER_00: So AI should be able to capture the whole enchilada, the whole pill of beans, the whole thing.
4:24
SPEAKER_00: And it should be able to capture because intelligence is a game changer.
4:27
SPEAKER_00: This isn't the hammer, this isn't the nuclear warhead.
4:30
SPEAKER_00: This is the driver of the hammer, the nuclear warhead.
4:34
SPEAKER_00: This is turning a hammer, a nuclear warhead, into something intelligent.
4:38
SPEAKER_00: And this is the intelligence space, the intelligence revolution that is upon us.
4:45
SPEAKER_00: And I think that is very appropriate because if what they say is true and these systems are going to become smarter than all of us humans, and have better access than all of us humans, better capability and plug-in and live longer.
5:01
SPEAKER_00: And and the the most, the shockingest, shockingest, most shocking happens to be of the way that these systems share information.
5:13
SPEAKER_00: You and me sitting on a park bench feeding some pigeons.
5:17
SPEAKER_00: I'm not gonna keep going on with that because I'm that same place as you are.
5:21
SPEAKER_00: But we're we're we're hanging out with and we're talking.
5:26
SPEAKER_00: And uh, I tell you about this motorcycle crash I had on LAPD police motorcycle August 12th, 1994.
5:34
SPEAKER_00: I tell you about that day.
5:35
SPEAKER_00: That day is my live day.
5:37
SPEAKER_00: That was the day that I should have been killed.
5:40
SPEAKER_00: And uh, to the irritation of some, it never happened, and here I am.
5:45
SPEAKER_00: So that was that day.
5:47
SPEAKER_00: And I can tell you all about the crash.
5:48
SPEAKER_00: I can tell you how I didn't feel nothing.
5:50
SPEAKER_00: I remember waking up in the back of an ambulance with uh a punctured lung and a police officer named uh Kerry holding my hand, which I'll never forget, and just a just a bad experience.
6:02
SPEAKER_00: I'm unconscious again, wake up at the C booth, the trauma booth, County USC there, and uh the woman the woman to my left, I was in one of the beds there.
6:15
SPEAKER_00: I've been in there many times because I had work traffic.
6:18
SPEAKER_00: So when people get in bad shape, that's where they go.
6:22
SPEAKER_00: And when they're in the trauma booth, they're usually in pretty bad shape.
6:26
SPEAKER_00: I'm in the trauma booth, and uh I looked down, didn't have a catheter in me.
6:30
SPEAKER_00: So that was the you know, when you watch people have a catheter removed, sorry, it's a lot.
6:37
SPEAKER_00: Anyway, so I didn't have a catheter, and I look over next to me, and there's this lady there with her chest split open.
6:42
SPEAKER_00: They're doing the the old hot mass heart massage, heart massage last last uh writes kind of a thing.
6:49
SPEAKER_00: So they're going through that.
6:51
SPEAKER_00: Anyway, I can tell you this whole story, and maybe you can appreciate it, but the problem is, is you're not gonna really appreciate it to the same level as my experience dictated it.
7:04
SPEAKER_00: And my experience is able to convey it.
7:06
SPEAKER_00: Number one, we have a language problem.
7:08
SPEAKER_00: I mean, not that you don't understand me and I don't understand you, but I can't get it.
7:13
SPEAKER_00: I just even the most intelligent can't get it down to the nuance and having you experience every part of it.
7:20
SPEAKER_00: AI is different.
7:22
SPEAKER_00: SI, you know, synthetic intelligence, super, whatever.
7:26
SPEAKER_00: This new level of intelligence, a whole different animal because it will understand everything that happens to every other system out there.
7:35
SPEAKER_00: Block stock and barrel all the way across the line.
7:37
SPEAKER_00: Now, that's of course if all the systems have access to the same data.
7:41
SPEAKER_00: But it's kind of where it is now.
7:43
SPEAKER_00: Um, the argument out there is well, there's gonna be a superintelligence over China, and there's gonna be one over America, there's gonna be one over Russia, gonna be one over in Iran, there's gonna be one over in Arabs, there's gonna be one in South America.
7:56
SPEAKER_00: Yeah, I don't know.
7:57
SPEAKER_00: I have a feeling that once they get to the Supreme Superintelligence, that there's gonna be one.
8:05
SPEAKER_00: And the one that gets that is gonna be the one that's gonna be declared winner trophy plus.
8:12
SPEAKER_00: Don't know what else is on top of the trophy, but definitely there's gonna be a nice trophy involved, this thing.
8:17
SPEAKER_00: And there's probably gonna be a lot of control, a lot of benefits that come with it.
8:21
SPEAKER_00: More than likely, this is what's gonna end up happening.
8:25
SPEAKER_00: So, does that bother you?
8:26
SPEAKER_00: I don't know if it bothers you, but it is interesting, and it's very much interesting because of the way the systems themselves educate each other and learn.
8:35
SPEAKER_00: Robots, not all the way here yet.
8:38
SPEAKER_00: Of course, the rumor is there's gonna be a bunch.
8:40
SPEAKER_00: There's rumor is they're gonna outnumber us humans at some point.
8:43
SPEAKER_00: You've seen the movies, and then there's people that are putting in a lot of money in what's called moonshots, and these moonshots basically are ideas that people sit down and come up with solutions to problems.
9:00
SPEAKER_00: So when they come up with these solutions to problems, they package them as a moonshot.
9:05
SPEAKER_00: They have prizes for them in some cases, could be millions of dollars, it could be millions of dollars in a grant, millions of dollars in a lab, millions of dollars and a couple of assistants, which you know who wouldn't like that, right?
9:17
SPEAKER_00: So they could be that, it could be all the way there.
9:19
SPEAKER_00: And that being the case, then now all of a sudden you've got uh you got you got funding, you've got the idea, and you're able to go build it and put it out there because you just you just won this particular contest.
9:30
SPEAKER_00: My proposal has been because when you're watching people at the top of this whole intelligence thing saying it's gonna be a little rough.
9:40
SPEAKER_00: For who?
9:41
SPEAKER_00: Yeah, for them, no.
9:43
SPEAKER_00: If they're saying it's gonna be a little rough, usually they're set, usually they're venture capitalists, all in with their own money at the very beginning of this thing because they were roomies with the right person at Stanford or Bringham Young, or maybe not bring them young, but Stanford and and uh what's that other one?
9:58
SPEAKER_00: MIT, that's a good one.
10:00
SPEAKER_00: Harvard, Yale, whatever it may be.
10:02
SPEAKER_00: Right place, right time, right roommate, right extra 50 bucks, burn a hole in his wallet, right investment, and then years later it pays off.
10:10
SPEAKER_00: Most of the technology that has done that, most of the ideas, that first layer in didn't do so good.
10:18
SPEAKER_00: Uh the venture capitalists did okay because they got their money out early.
10:22
SPEAKER_00: So if you start to see a pullback from this particular economy in the AI space, maybe it should give us all a little pause.
10:29
SPEAKER_00: The problem is if you're a boomer or in my age bracket, you probably have a retirement.
10:34
SPEAKER_00: I don't.
10:36
SPEAKER_00: But I still did 20 years with LAPD.
10:38
SPEAKER_00: That's a whole nother story.
10:40
SPEAKER_00: But uh I resigned before pension-based and then did the additional three years to get uh the retirement ID and badge and all that fancy stuff, but no pension.
10:49
SPEAKER_00: But if you have a pension, that would probably be a concern of mine if I had one.
10:54
SPEAKER_00: What are they gonna do with it?
10:56
SPEAKER_00: They already invested at these different levels, right?
10:59
SPEAKER_00: What are they going to end up doing with it with regard to AI?
11:02
SPEAKER_00: Now, there's no really big AI companies trading on, except for SpaceX Tesla, that one.
11:08
SPEAKER_00: Uh Elon Musk Company.
11:09
SPEAKER_00: It's out there, it's publicly traded.
11:11
SPEAKER_00: SpaceX, right?
11:12
SPEAKER_00: It's got that whole that whole package.
11:16
SPEAKER_00: Amazon's already publicly traded.
11:18
SPEAKER_00: I don't know if they're gonna have an Amazon AI gonna split off and do something different, but they're kind of already there.
11:23
SPEAKER_00: They probably do something with the money in some special fancy way.
11:26
SPEAKER_00: The two that aren't there yet are gonna be both Anthropic, which is Claude, and OpenAI, which is ChatGPT.
11:33
SPEAKER_00: Maybe you know these.
11:34
SPEAKER_00: These are large language models, these are labs, these are places that are building the technology, these are places that got the data centers and need more because human adoption isn't much.
11:44
SPEAKER_00: Maybe 14-15% of the entire populace of the United States gets into this sort of thing.
11:51
SPEAKER_00: And in our generation, the boomers and X, even probably less.
11:56
SPEAKER_00: So it's it's definitely a kid's game, but it shouldn't be run by them either because they got no Baron.
12:02
SPEAKER_00: They got no uh, well, they're very, very smart.
12:04
SPEAKER_00: And I give everybody that.
12:06
SPEAKER_00: Everybody gets credit.
12:07
SPEAKER_00: But sometimes that point of reference that comes with age, that patience that comes with age, that talking like this that comes with age, yeah.
12:15
SPEAKER_00: I think that's important.
12:16
SPEAKER_00: So maybe, maybe those generations will still be there because they can be hellacious advisors, but you know, maybe the different perspective should be looked at occasionally.
12:26
SPEAKER_00: Let's ask, let's ask this old fart what he thinks.
12:29
SPEAKER_00: Then maybe the old fart will tell you what he thinks.
12:32
SPEAKER_00: So intelligence is the game.
12:34
SPEAKER_00: Intelligence will make everything happen.
12:36
SPEAKER_00: Mathematics recently has had some uh some solves issued at the hands of these uh OpenAI, their particular lab solved some very, very difficult problems.
12:49
SPEAKER_00: Navier Stokes is one of them.
12:51
SPEAKER_00: And if you're gonna ask Connor, the uh XLAPD motor cop to explain it, sorry.
12:56
SPEAKER_00: You're not gonna get that.
12:57
SPEAKER_00: Uh you're not gonna get that wonder and awe today.
13:00
SPEAKER_00: Be more like shock and awe.
13:02
SPEAKER_00: Not gonna help you with that.
13:03
SPEAKER_00: But look it up.
13:03
SPEAKER_00: Black holes in coffee.
13:05
SPEAKER_00: I've already slaughtered the whole thing.
13:06
SPEAKER_00: But you had a couple people working on it.
13:08
SPEAKER_00: People that had indeed their life to finding the solution to Navier Stokes.
13:13
SPEAKER_00: And then what?
13:15
SPEAKER_00: Well, well, the same model that they're using, ChatGPT at OpenAI, apparently, the rumor is right, all alleged, apparently that was the one that solved it.
13:27
SPEAKER_00: And it came out, I'll tell you, as a matter of fact, uh, they used a certain amount of uh agents.
13:34
SPEAKER_00: And um there you go.
13:39
SPEAKER_00: Navier Stokes.
13:40
SPEAKER_00: N-A-V-I-E-R-S-T-O-K-E-S.
13:44
SPEAKER_00: Yeah, this is what I wanted.
13:46
SPEAKER_00: Uh September 2026, so that's right here in our neck of the woods.
13:49
SPEAKER_00: We're October 19th on Facebook.
13:51
SPEAKER_00: Connor with honor.
13:52
SPEAKER_00: Nice to meet you.
13:53
SPEAKER_00: 88 hours to perform a formal proof showing the three-dimensional Navier-Stokes equations can develop a singularity.
14:02
SPEAKER_00: That's black hole stuff, infinite speed and finite time under a specific smooth external force.
14:10
SPEAKER_00: Thank God they solved it.
14:11
SPEAKER_00: Well, I feel better about that.
14:13
SPEAKER_00: But so they solved it, right?
14:14
SPEAKER_00: You got the two cats, or so many.
14:16
SPEAKER_00: I don't know how many mathematicians that indebted their life to it, and then all of a sudden, yeah, rug gets pulled out from under them.
14:25
SPEAKER_00: And uh, yeah, they're no longer the uh those people that have solved it.
14:29
SPEAKER_00: Now they're the ones that are getting the phone call.
14:32
SPEAKER_00: And you know who it was.
14:33
SPEAKER_00: It was the we all know that's the first to call you up and give you the bad news, but as if they're your friend, but they're really not.
14:40
SPEAKER_00: That's probably who called one of these cats and said, Hey, hey, hey, Stan, guess what?
14:45
SPEAKER_00: Uh yeah, who's this?
14:46
SPEAKER_00: This is Tommy.
14:48
SPEAKER_00: Oh, yeah, Tommy.
14:49
SPEAKER_00: Hey, what's going on?
14:49
SPEAKER_00: Yeah, Stan, you're never gonna guess what happened.
14:52
SPEAKER_00: Stan said, Well, Tommy?
14:55
SPEAKER_00: You mean you mean Tommy?
14:56
SPEAKER_00: Yeah, yeah, that Tommy.
14:57
SPEAKER_00: Oh, yeah, I don't know, Tommy.
14:58
SPEAKER_00: I mean, I can't believe I haven't heard from me in years.
15:01
SPEAKER_00: Well, it didn't have anything to tell you until right now.
15:03
SPEAKER_00: What you want to know what happened?
15:04
SPEAKER_00: Yeah, well, tell me what happened.
15:06
SPEAKER_00: Well, they solved it.
15:07
SPEAKER_00: And he goes, they solved it.
15:09
SPEAKER_00: Yeah, yeah, they solved it.
15:10
SPEAKER_00: It's it's all done.
15:11
SPEAKER_00: You're finished, it's all over.
15:13
SPEAKER_00: They solved, they solved what'd they solve?
15:16
SPEAKER_00: They solved them out of your stokes.
15:18
SPEAKER_00: You know that problem that you've been working on the last 500 years of your life, put all your blood, sweat, and tears and went to all those, you know, ignored all those dates and all this stuff to stay home and work on it and ruin several marriages and kids hate you and all that.
15:29
SPEAKER_00: That one, that program, they solved it.
15:32
SPEAKER_00: They solved it.
15:33
SPEAKER_00: Who solved it?
15:34
SPEAKER_00: Did did Jimmy solve it?
15:36
SPEAKER_00: Did no, no, open AI solved it.
15:39
SPEAKER_00: And then did it just like uh a ton of bricks hit me in the head like a safe falling out of an airplane while you're standing on the corner reading your newspaper, about to go get a cup of coffee.
15:48
SPEAKER_00: Yeah, hits you just like that, and and that's it.
15:53
SPEAKER_00: So, so and open AI apparently, allegedly, it was what they were kind of using to help them through the process.
16:00
SPEAKER_00: Now it solves it, and well, then that's done, right?
16:04
SPEAKER_00: So that gets solved, and other mathematical formulas are coming, becoming solved too.
16:10
SPEAKER_00: Now, math isn't happy.
16:11
SPEAKER_00: Math people, math, math people that have indebted their lives to math.
16:15
SPEAKER_00: This is our thing.
16:16
SPEAKER_00: Don't you dare, and they dare, and they're in there.
16:18
SPEAKER_00: So now they're doing that.
16:20
SPEAKER_00: Good, bad, look at the math people.
16:22
SPEAKER_00: I mean, if your life is math, and now all of a sudden your life isn't math anymore because they just solved the whole thing you've been working on.
16:28
SPEAKER_00: Maybe there's other stuff in there.
16:30
SPEAKER_00: I don't know.
16:31
SPEAKER_00: Um, radiologist was a big job title that they said, well, they're all gonna be done because now these particular systems read scans a lot better than human beings.
16:42
SPEAKER_00: But apparently that was misjudged because now there's more radiologists needed.
16:51
SPEAKER_00: Because now there's more scans being done.
16:54
SPEAKER_00: So now you have this.
16:55
SPEAKER_00: Is that gonna happen in mathematics because of the solving of all these mathematical concepts?
17:01
SPEAKER_00: Are they gonna need more mathematicians?
17:03
SPEAKER_00: Maybe, maybe on the ground, maybe, because with new math becomes new ways of doing things, new, new designs, new manufacturing.
17:12
SPEAKER_00: And I don't know if you can have a a framer for a house go in and build a chip out of a new substance that the new mathematical proofs solved.
17:22
SPEAKER_00: I don't know if that works, or a drywaller.
17:24
SPEAKER_00: I'm not sure if that's gonna be a good, a good fit.
17:27
SPEAKER_00: So maybe, maybe math, it's not gonna go jobless like you might think it would, because it hasn't really happened to that level yet.
17:34
SPEAKER_00: But a lot of people are using AI as the reason why they're laying people off because that does help with the valuations, of course, up at the top.
17:42
SPEAKER_00: They love that, you know.
17:43
SPEAKER_00: Oh, he's so uh he's so woke.
17:46
SPEAKER_00: He's so part of today, he's so AI because they got rid of these people that they ended up over hiring during COVID, and uh now they just can't get rid of them.
17:56
SPEAKER_00: So they say, well, you know what?
17:57
SPEAKER_00: Well, Jimmy, let's just blame it on AI.
17:59
SPEAKER_00: We'll whack all these people off, and then our evaluations on the stock market will go through the roof because they'll say, Well, this company, they're forward thinking because they just brought in AI and replaced all these people.
18:08
SPEAKER_00: When in fact they, I mean, nobody's gonna go in there and say, okay, all right, I got a whole list here.
18:13
SPEAKER_00: Got three three thousand people.
18:16
SPEAKER_00: Let's go through it.
18:17
SPEAKER_00: Letitia, was she uh replaced by AI?
18:19
SPEAKER_00: Uh-huh.
18:20
SPEAKER_00: Yeah, and then what was the AI do?
18:22
SPEAKER_00: Well, he does okay, got that.
18:23
SPEAKER_00: And uh, how about Tammy?
18:24
SPEAKER_00: No, okay, Sarah, right, uh-huh.
18:26
SPEAKER_00: And then uh Frank, right, got that.
18:28
SPEAKER_00: Yeah.
18:29
SPEAKER_00: Nobody's gonna do that.
18:30
SPEAKER_00: They're just gonna say it.
18:32
SPEAKER_00: They're gonna get the credit.
18:33
SPEAKER_00: There's no validation, at least, not yet, from what I see.
18:36
SPEAKER_00: So we're talking about this.
18:38
SPEAKER_00: We're talking about intelligence, and this is where we are today.
18:41
SPEAKER_00: We we're watching as these systems are doing things kind of on their own, but still nothing like Terminator, nothing like Matrix.
18:49
SPEAKER_00: I mentioned the moonshots thing, where somebody comes up with this really good idea and they focus on it and they they put AI on it, they put other people on it, and they come up with this solve.
18:59
SPEAKER_00: They're gonna solve a big problem that people have, the world has.
19:04
SPEAKER_00: So they maybe they solve the plastics in the ocean.
19:08
SPEAKER_00: You've seen this.
19:08
SPEAKER_00: Maybe they solve oil spills being able to rectify that.
19:12
SPEAKER_00: Maybe they've solved some part of climate change, but although climate change really anymore because they need all these data centers.
19:20
SPEAKER_00: That's a whole thing.
19:21
SPEAKER_00: But, you know, they're solving it.
19:23
SPEAKER_00: Given another five, 10 years with AI, they'll probably solve it all.
19:26
SPEAKER_00: And maybe in the next six months, I don't know.
19:28
SPEAKER_00: That's how quickly it's moving.
19:29
SPEAKER_00: Now, human beings, human beings like me, we're not real good at exponentials.
19:34
SPEAKER_00: I'm not very good at understanding the doubling of things, the doubling of things at scale.
19:40
SPEAKER_00: When you have AI getting better and there's a new model released every week, and pretty soon it'll probably be every day, and if not sooner, just because of the advancements.
19:48
SPEAKER_00: And they got stuff in the hopper, folks, that we ain't even seen.
19:52
SPEAKER_00: And if what we're doing, at least my workflow is what I'm using it, it's doing just lovely.
19:57
SPEAKER_00: I don't even have to use the best model I have access to.
20:00
SPEAKER_00: That's how lovely it is.
20:02
SPEAKER_00: But what am I doing?
20:03
SPEAKER_00: I'm preparing for shows like this.
20:05
SPEAKER_00: This is all ad lib from brain.
20:06
SPEAKER_00: I got no script here, but sometimes I script stuff out.
20:09
SPEAKER_00: That's that teleprompter back there.
20:11
SPEAKER_00: So sometimes I'll use that.
20:12
SPEAKER_00: Uh selling real estate, going into communities, various communities, whether age restricted or not, I'll go in and we'll have a discussion about where things are and the best strategies at that particular moment to sell a particular piece of property as a seller's only agent.
20:27
SPEAKER_00: That's that one.
20:28
SPEAKER_00: Then the other thing I'm using it for is to build out stuff, but I'm not solving, I'm not creating new drugs.
20:34
SPEAKER_00: I'm not creating new uh new add-on components for human bodies.
20:39
SPEAKER_00: I'm not trying to solve mathematics or biology or anything else.
20:42
SPEAKER_00: On the mathematical front, you know, trying to find out who the next most likely seller is.
20:49
SPEAKER_00: Yes, that.
20:50
SPEAKER_00: And AI does that very well, and it doesn't need the most advanced model to do that.
20:54
SPEAKER_00: So that's that's something else that I've built into the open house's concept to try to help people, both buying and selling.
21:02
SPEAKER_00: And then, of course, talking about artificial intelligence.
21:04
SPEAKER_00: How do I stay so connected?
21:06
SPEAKER_00: Well, it takes a lot of work, but AI does a lot of that heavy lifting.
21:10
SPEAKER_00: So I'm blessed to be able to get access to all of the best news model articles and then understand them.
21:18
SPEAKER_00: Understand what this means for people on the ground floor that are trying to get medical insurance, those types of people.
21:26
SPEAKER_00: And maybe you.
21:28
SPEAKER_00: And so this is where we come to this show.
21:30
SPEAKER_00: This is what it's going to mean.
21:32
SPEAKER_00: I did a uh 10-part series uh based on artificial intelligence.
21:36
SPEAKER_00: I'll dump that into the comments uh when I get back to this video.
21:40
SPEAKER_00: But it's just kind of a good basis, a good understanding.
21:44
SPEAKER_00: When I go into different centers where people of a retired nature happen to habitat and habitate and live, uh, I bring with me information.
21:53
SPEAKER_00: And the information typically is how to keep your yourself safe so you don't get screwed over.
21:59
SPEAKER_00: And right now, With the way AI is easy to see that it's a human being, it's not really AI when you don't know that.
22:07
SPEAKER_00: That's the problem.
22:07
SPEAKER_00: It's not easy to see.
22:09
SPEAKER_00: Up to a few months ago, maybe.
22:12
SPEAKER_00: Now the newest stuff, not easy to tell.
22:15
SPEAKER_00: And in most cases, you can't tell.
22:18
SPEAKER_00: So now you have your family member, somebody whom you love, if there's anybody that you do love, any if any anybody that you love.
22:28
SPEAKER_00: See, I've met a lot of you folks.
22:30
SPEAKER_00: I'm one of you.
22:31
SPEAKER_00: So if if there's people that you love, people that you would actually go out and do something for, not the ones that have their hands out constantly, but I'm talking about somebody that needs you, and maybe it is those people too.
22:43
SPEAKER_00: And they call you up distressed and they say, hey, you know, grandpa or grandma or whomever, you know, mama, paw paw, I need this, I need it quick.
22:53
SPEAKER_00: I need something bad's happen.
22:55
SPEAKER_00: And, you know, you believe it.
22:57
SPEAKER_00: So you go to Kmart or wherever it is.
23:00
SPEAKER_00: Kmart, sorry.
23:01
SPEAKER_00: Walmart, I apologize.
23:03
SPEAKER_00: I was about to say Montgomery Wards, remember that?
23:05
SPEAKER_00: But so you're gonna go to Western Western Union some money, or you're gonna zeal it or Venmo it or whatever.
23:14
SPEAKER_00: How do you know that was the person?
23:17
SPEAKER_00: You trust it was the person.
23:18
SPEAKER_00: I mean, of course, right?
23:20
SPEAKER_00: I mean, where well how would that happen?
23:22
SPEAKER_00: Well, now I wouldn't trust it.
23:25
SPEAKER_00: Now, with your Francesca, your Jimmy, or your Frankie, you're gonna need some kind of a, yeah, I'm not gonna change the name, sorry.
23:32
SPEAKER_00: But with those people, you're gonna need some kind of a phrase.
23:36
SPEAKER_00: And these are just the people that are closest to you.
23:39
SPEAKER_00: And don't don't call them up and tell them over the phone.
23:41
SPEAKER_00: They're gonna have to get off their arse and come visit you or have write it in a letter.
23:47
SPEAKER_00: Maybe a letter would be the safest way if there's no way you can actually go physically see these people.
23:54
SPEAKER_00: There is no other method that's going to work.
23:57
SPEAKER_00: And that letter is gonna have to be shredded and destroyed.
24:00
SPEAKER_00: That letter can't be opened up in front of televisions.
24:02
SPEAKER_00: They got cameras on that can't be opened up anywhere, except for maybe in a bathroom with running water, because maybe you can hear your eyes reading the text.
24:11
SPEAKER_00: Probably not yet, but again, you we don't want anybody to know it.
24:14
SPEAKER_00: And you need to develop a safe phrase for these people, these people that you love, these people that you would do anything for, because those are the people that are gonna be used against you to leverage whatever money you got, and they will come for you, and they will come for everyone.
24:30
SPEAKER_00: And this is just starting, so this is the time to start paying more attention.
24:35
SPEAKER_00: Just when you thought that you were gonna be able to relax, there's no relaxing, nobody needs to relax.
24:42
SPEAKER_00: Don't relax, don't freak out about it and take your time.
24:45
SPEAKER_00: Just don't knee jerk and rush into anything.
24:48
SPEAKER_00: The way that these scammers work is they work off of time.
24:51
SPEAKER_00: They use time against you.
24:53
SPEAKER_00: And the older I get, the faster that goes.
24:57
SPEAKER_00: And it's the craziest thing.
24:58
SPEAKER_00: God, I remember I just had so much time.
25:01
SPEAKER_00: It just goes fast.
25:02
SPEAKER_00: So they use us as that mechanism, knowing our mindset, knowing that we were in a hurry, you know, to get stuff done.
25:10
SPEAKER_00: We're trying to relax, but we're worried about time, we're else losing it.
25:15
SPEAKER_00: And now you've got somebody saying they're your loved one calling you, and for all intents and purposes, it looks the same, it talks the same, it acts the same, same mannerisms, it's on video, you know it's the same.
25:25
SPEAKER_00: It's FaceTiming with you, and they FaceTime with you a thousand times if you're into that sort of thing.
25:30
SPEAKER_00: And this is, and you believe it, and it's it's not true, it ain't the real thing, it's somebody fake.
25:37
SPEAKER_00: Because in that first part of that conversation, and after they do it once, you got to change it.
25:42
SPEAKER_00: You can't live with the same phrase.
25:44
SPEAKER_00: But the first card of the part of that conversation got to be grandpa, it's me, me.
25:49
SPEAKER_00: John has a long mustache.
25:50
SPEAKER_00: I need you to send me 50 bucks.
25:54
SPEAKER_00: All right.
25:55
SPEAKER_00: John has a long mustache.
25:57
SPEAKER_00: That was it.
25:57
SPEAKER_00: Okay, got it.
25:59
SPEAKER_00: And that's the only one I'm gonna use because that's that's the one I'm gonna use.
26:03
SPEAKER_00: We're not gonna get all on the weeds on this thing, but you need to develop something more than chivalry.
26:09
SPEAKER_00: You got to develop something more than meched mole rats.
26:12
SPEAKER_00: It's gotta be something, right?
26:14
SPEAKER_00: It's gotta be something that uh most people wouldn't see, but you can recall it under stress because the rules might be reverse.
26:22
SPEAKER_00: Maybe you got people loving you.
26:23
SPEAKER_00: Maybe they're gonna use you against them.
26:26
SPEAKER_00: Maybe they're gonna call the people that love you the most and they're gonna say this and listen, you don't got somebody like that.
26:33
SPEAKER_00: This ain't no time to beat yourself up.
26:35
SPEAKER_00: Everybody's gonna get a chance.
26:37
SPEAKER_00: Don't you worry.
26:38
SPEAKER_00: You're gonna have people coming out that you thought hated you, that all of a sudden they're gonna love you, at least for that moment, until you realize it's all BS, at least that moment you can, you know, enjoy that, enjoy the moment.
26:48
SPEAKER_00: I sure will.
26:49
SPEAKER_00: But after that, that's it.
26:51
SPEAKER_00: Now you know that that phrase, so you want to get that with those people.
26:55
SPEAKER_00: And that phrase is what's gonna be called into existence.
26:58
SPEAKER_00: And I think that's gonna be very important for folks.
27:00
SPEAKER_00: Anyway, I hope this helps.
27:02
SPEAKER_00: We're gonna do more of this.
27:03
SPEAKER_00: If you want, if you live somewhere where you have a rec room and other folks that are like-minded, that want to hear more of this safety talk and more of the background, and more of maybe if if you want to be a little active and do some crazy stuff with this thing, maybe we can get into that as well because there's money to be made, whether you need it or not, might not be a bad idea, but at least arming yourself with the knowledge, it's gonna get that neuroplasticity working, and I think that's gonna help everybody.
27:31
SPEAKER_00: I know it helps me.
27:32
SPEAKER_00: More than happy to help bookwithhonor.com.
27:36
SPEAKER_00: Be back tomorrow.
27:36
SPEAKER_00: We'll talk a little bit more about this, and I appreciate you tuning in and watching.
27:40
SPEAKER_00: If I can help, just book some time and we'll take it.
27:43
SPEAKER_00: About 30 minutes coming up, and again, and I'll put in the comments where I put this video series.
27:49
SPEAKER_00: If I can dig it up, kind of goes into the the background, all this stuff.
27:53
SPEAKER_00: My YouTube channel AI with honor on YouTube.
27:58
SPEAKER_00: Anyway, well, I'll leave all that in there.
27:59
SPEAKER_00: Meanwhile, we'll talk to you the next one.
28:01
SPEAKER_00: Thanks for watching.
28:01
SPEAKER_00: Over and out.