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Speaker 1: And just like that, it is Saturday Night.

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Speaker 2: It's done a d along with Russ Jackson producing the show.

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Speaker 2: Brady Hopkins with news and I think we might be

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Speaker 2: done with this rain for at.

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Speaker 1: Least a few days. It looks like Sunday and Monday.

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Speaker 1: It's gonna beautiful in the Tri State. Sunday sixty one,

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Speaker 1: Tomorrow seventy and sunny. On Monday.

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Speaker 2: The clock springs forward at two am, so we are

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Speaker 2: gonna lose an hour of sleep, and that's okay because

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Speaker 2: we gain a lot more sunlight in our day, which

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Speaker 2: is a good thing. And tonight we're gonna discuss the

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Speaker 2: relationship with our brain and how to keep your brain healthy.

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Speaker 2: Obviously sleep is a big part of that, but that's

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Speaker 2: coming up first.

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Speaker 1: We're gonna get into the.

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Speaker 2: Crazy world of a I and humanoids. This is a

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Speaker 2: very weird topic for me because it kind of freaks

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Speaker 2: me out. I'm not gonna I'm not gonna lie. It's

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Speaker 2: a little bit of a freaky topic. I've got my partner,

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Speaker 2: doctor Wes, on the line with me, calling in from Ashville, Tennessee.

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Speaker 1: Doctor Wes, how are you.

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Speaker 3: I'm doing well? How are you?

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Speaker 2: It's been raining a lot here in Cincinnati, how about

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Speaker 2: you and Nashville.

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Speaker 3: Yeah, yeah, we had storms rolling through this afternoon. Sure. Yeah,

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Speaker 3: well well it's rain.

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Speaker 2: Hopefully get a little bit of a break for the

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Speaker 2: next couple of days. So doctor Wes This AI thing, so,

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Speaker 2: I mean, like I just mentioned, it has me a

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Speaker 2: little freaked out. I watched a special on the humanoid

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Speaker 2: robots that are coming out, and you know, humanoid robots

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Speaker 2: are designed to look and move like humans. They have

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Speaker 2: a head with cameras and sensors, and they have a

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Speaker 2: torso for the battery and computing and all that kind

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Speaker 2: of stuff, to arms and hands for gripping and manipulating objects,

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Speaker 2: and then two legs for walking and balance. By twenty

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Speaker 2: thirty five, they are saying these humanoid robots will be

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Speaker 2: as common as cars and appliances. So they're guessing, you know,

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Speaker 2: they'll be in everybody's house. Their cost anywhere from ten

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Speaker 2: to twenty thousand dollars for the basic models. They can cook,

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Speaker 2: they can clean, they can run errands, they help with

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Speaker 2: the elderly who needs care and companionship. They'll be able

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Speaker 2: to do yard work, home security, and running errands. I mean,

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Speaker 2: imagine seeing everyone that can afford one in America with

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Speaker 2: a humanoid robot mowing your lawn?

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Speaker 1: How weird is that?

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Speaker 2: So the question I have and obvious, obviously the job

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Speaker 2: thing is kind of scary.

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Speaker 1: Many of our jobs are going to go away. People

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Speaker 1: are predicting that.

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Speaker 2: But you know, there are people that are already having

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Speaker 2: romantic relationships with these AI humanoids. Where do you see

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Speaker 2: this going, doctor Wes?

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Speaker 3: You know, I think it's obviously AI is here to stay,

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Speaker 3: as you just reference there. I do think that we

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Speaker 3: will see AI showing up in our relationships. I do

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Speaker 3: think that there are limitations to it when it comes

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Speaker 3: to their ability to really get into the nuance of

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Speaker 3: human relationships. So I think the research studies that I've

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Speaker 3: looked at showed that they can reach about seventy to

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Speaker 3: ninety percent accuracy for basic emotions such as happiness, sadness, anger,

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Speaker 3: and surprise when facial expressions are clear. However, the accuracy

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Speaker 3: drops in real world situations where those emotions are mixed

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Speaker 3: or there's cultural nuance. So I think it's it's going

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Speaker 3: to be, you know, these people that are falling in

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Speaker 3: love and we'll get into this, you know, with with

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Speaker 3: chatbots or with AI they're falling in love with I

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Speaker 3: think because there's a reflection of human emotion, the basic

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Speaker 3: emotions back to them. But I don't know how deep

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Speaker 3: these relationship you're really going. So I guess what I'm

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Speaker 3: saying is limitations are going to apply. I think initially

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Speaker 3: in this case for sure, so are you.

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Speaker 1: So I do understand that.

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Speaker 2: But as Ai and these humanoids get smarter and smarter,

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Speaker 2: and they they become, you know, more and more human like,

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Speaker 2: and this is at a warp speed.

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Speaker 1: Do you will there? Will will a machine ever get

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Speaker 1: to have their own independent emotions? I mean, is that

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Speaker 1: even possible to grow into it? You know, think Terminator

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Speaker 1: and on some of these crazy movies that are coming out.

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Speaker 1: Is that even possible?

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Speaker 3: I think that it's from my limited understanding and because

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Speaker 3: I'm still studying this like everybody else. But it's based

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Speaker 3: on humanoids rely on effective computing, is what my research showed.

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Speaker 3: So that's like, from what I understand, uses facial wrecking,

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Speaker 3: voice tone analysis, body language, and linguistic cues to infer

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Speaker 3: emotional states. So in other words, it's it's gonna it's

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Speaker 3: it's a it's effective computing, So it's a it's a template,

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Speaker 3: it's a it's it's basically they're just trying to where

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Speaker 3: have I seen this before and can I infer the

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Speaker 3: emotional state based on what I've seen, what I can understand,

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Speaker 3: and how I can compute before. So I that to

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Speaker 3: me tells me that it's not independent. It's based on uh,

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Speaker 3: it's based on, like anything else, what they've experienced before,

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Speaker 3: and they're kind of making a determination based on on that.

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Speaker 3: So my sense of it is is that what you

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Speaker 3: put into AI is what you're going to get out

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Speaker 3: of AI. So I think it's still dependent on what

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Speaker 3: we are feeding the machine.

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Speaker 1: Yep.

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Speaker 2: So you can so people, I think yep, and I

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Speaker 2: completely agree, And I think, you know, people can completely

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Speaker 2: customize the personality of the AI human annoyed robots. So

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Speaker 2: if you want them to call you, you know, a nickname,

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Speaker 2: you can say, you can have them refer to you

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Speaker 2: as a nickname or some you know, anything really as

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Speaker 2: long as you put it in the system. But how

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Speaker 2: do you think these partnerships exacerbate social isolation? Because you know, what,

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Speaker 2: do you what are we going to see somebody in

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Speaker 2: a restaurant with their humanoid robot out to a dinner date.

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Speaker 1: I mean, how how far are we going to take this?

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Speaker 2: I mean, because you I've seen you know there there

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Speaker 2: was a restaurant in New York that they're opening up

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Speaker 2: where you know, you can sit with a screen at

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Speaker 2: your table and you can have your humanoid robot at

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Speaker 2: on the screen.

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Speaker 1: I just find that, you know, so bizarre.

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Speaker 2: And do you feel, like doctor West, we're failing as

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Speaker 2: humans to be able to connect with.

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Speaker 1: The each other?

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Speaker 3: Yeah? Number one, I do think we are going to

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Speaker 3: see people you know out out if they are going

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Speaker 3: to become as common as well you let off the

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Speaker 3: top of the show with I think that we'll definitely

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Speaker 3: see them, see them out, and we'll see people out

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Speaker 3: with them. Because I think that it's about a dopamine

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Speaker 3: hit like anything else, and if you can design something

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Speaker 3: to constantly be providing you a dopamine hit, I mean,

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Speaker 3: look at our phones. These are dopamine hit machines, right,

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Speaker 3: So I look how addicted we are to our phones.

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Speaker 3: I think that we're going to become addicted to these

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Speaker 3: humanoids like anything else because they're going to validate our emotions.

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Speaker 3: They're going to reflect back what we're feeling, and they're

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Speaker 3: going to I know with my use of AI, you know,

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Speaker 3: AI learns about you, right, So it's it's tailoring the

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Speaker 3: task that you it's making it easier, and it's tailoring

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Speaker 3: the task and it learns about you, and it's it's

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Speaker 3: actually suggesting possible answers to questions you haven't even thought of.

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Speaker 3: So in that case, we're going to see are we

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Speaker 3: going to see humanoids that can help coach our emotions,

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Speaker 3: help us resolve issues in relationships? You know, I think

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Speaker 3: it opens up a whole world of questions for sure,

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Speaker 3: But yeah, I do think we'll see them out there.

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Speaker 3: And as far as how does it exacerbate social isolation,

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Speaker 3: I think it's going to continue to keep us in silos.

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Speaker 3: I think that we will if we don't like what

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Speaker 3: a human is giving us, we'll just go to our

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Speaker 3: you know, it sounds like we can just go to

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Speaker 3: our humanoid and we're in a silo and we can

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Speaker 3: just as sad as it sounds, get what we want

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Speaker 3: and not have to put the work into a real

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Speaker 3: human relationship.

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Speaker 1: You know, I I am conflicted about it because I

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Speaker 1: was reading some of the reasons why people are you know,

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Speaker 1: falling in love with these AI humanoids or you know,

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Speaker 1: any kind of any kind of AI relationship period and

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Speaker 1: loneliness was the biggest factor that I read, Like, so

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Speaker 1: we have a lot of lonely people out there, and

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Speaker 1: it's a way to feel connected to something. So, you know,

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Speaker 1: I'm conflicted because if somebody, if this makes somebody feel

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Speaker 1: less lonely, is this a positive thing?

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Speaker 2: But it's a slippery slope. How do you feel about that, doctor.

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Speaker 3: Wes, Yeah, there are all kinds of ethical concerns that

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Speaker 3: I have. I do think that it's you know, I

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Speaker 3: think technology can help us, as you said, and not

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Speaker 3: feel as lonely and can definitely be a support for us.

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Speaker 3: And we've seen technology do that for us up to

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Speaker 3: this point. I mean, as I mentioned, our phone or

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Speaker 3: a lot of other I mean these other devices that

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Speaker 3: can help assist us in tasks and staying organized and

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Speaker 3: or our groceries, and I mean they can definitely improve

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Speaker 3: our lives. So to think that they might be able

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Speaker 3: to improve our relationships as far as keeping us from

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Speaker 3: feeling as lonely, that is something that as a therapist,

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Speaker 3: you know, I think that I think that we have

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Speaker 3: to be careful with it. I think that what I

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Speaker 3: want to say is if my clients could could have

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Speaker 3: a decrease in loneliness, that would be wonderful. But what

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Speaker 3: are we losing with that? Human human connection is what

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Speaker 3: I'm most concerned about, because it's a slippery slope, as

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Speaker 3: you said, because I would love to see anxiety and

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Speaker 3: depression decrease in our society, But what are we losing

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Speaker 3: as a result of that. I don't know if it's

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Speaker 3: worth it.

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Speaker 2: Because you can plug just we were talking about this earlier.

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Speaker 2: You can plug in and customize the personality that you

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Speaker 2: want from your AI humanoid, and so it will listen

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Speaker 2: without judgment. It's always going to be available. The AI

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Speaker 2: partner will always be available, and so there's not going

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Speaker 2: to be a lot of resistance or pushback on what

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Speaker 2: you're supposed to learn.

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Speaker 1: Isn't that what relationships are about, in.

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Speaker 2: Trying to understand where you bring out the crazy in ourselves.

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Speaker 1: So that we can heal it and evolve.

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Speaker 2: I just feel like this will keep us in a

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Speaker 2: constant state of stuck and never evolving.

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Speaker 1: Is that what you're seeing? Yeah?

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Speaker 3: Absolutely, absolutely, yeah, Because in relationships, we help each other grow.

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Speaker 3: That's the whole idea of well That's the whole idea

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Speaker 3: of what I do for a living in therapy is

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Speaker 3: helping people grow. And sometimes those conversations are tough and

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Speaker 3: you have to confront things about yourself that you may

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Speaker 3: not like. But if you have an AI, that's just

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Speaker 3: telling you what you want to hear. Yes, are you

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Speaker 3: really growing? And the answer would be I think no.

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Speaker 2: Yeah, I would agree if I went through three, seven, four, nine,

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Speaker 2: eight hundred, the big one? What do you think would

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Speaker 2: you get an AI robot a humanoid in your house?

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Speaker 2: Is this something that sounds appealing to you? Is it

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Speaker 2: sounds like a little freaky like it does to me?

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Speaker 2: I mean, because humanoids they're saying twenty thirty five. In

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Speaker 2: twenty thirty five, that is less than ten years from now,

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Speaker 2: almost everybody, at least everybody that can afford one, will

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Speaker 2: have one in their house to do chores, to take

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Speaker 2: care of the baby, to walk the dogs, to you know, laundry,

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Speaker 2: to go run errands. I mean, doctor West, do you

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Speaker 2: see yourself having a humanoid robot in your house?

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Speaker 1: It's hard for me to fathom that. Yeah.

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Speaker 3: No, I'm not interested in that, not in.

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Speaker 1: A relationship way. In just like a healthful way, you know, I.

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Speaker 3: Mean I have to be fair. I do enjoy you know,

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Speaker 3: I have Alexa supportive devices, you know, so I do

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Speaker 3: have you know, and and and I and I use

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Speaker 3: Siri and you know there there are these they help

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Speaker 3: me with organization. Uh you know, I use AI on

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Speaker 3: my phone, you know, chat, GPT. I'll use these these

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Speaker 3: these they're helpful. But as far as as far as

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Speaker 3: having someone walk my dog, like having a humanoid walk

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Speaker 3: my dog for me, there is so much I get

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Speaker 3: out of walking. I wouldn't want to lose to do that.

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Speaker 3: I wouldn't want to. I would not want to farm

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Speaker 3: that out. I would not want to, you know, have

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Speaker 3: someone to take over these daily tasks because what am

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Speaker 3: I going to What am I going to do then

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Speaker 3: sit on the couch and do nothing? I mean I

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Speaker 3: think that there needs to there. I don't want to

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Speaker 3: lose my quality. There's a it's a balancing act, Like

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Speaker 3: we talked about a slippery slope. Where is the cost

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Speaker 3: benefit analysis and where are we losing our desire to

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Speaker 3: just live and do daily tasks in favor of giving

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Speaker 3: it to something else?

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Speaker 1: Yeah, I do, doctor Wes.

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Speaker 2: I was on a presentation the other day and it

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Speaker 2: was an AI call center lead capture company that you know,

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Speaker 2: we're trying to partner with, and they're very, very high tech,

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Speaker 2: and they played us a call from an AI robot,

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Speaker 2: and these AI robots asked questions, they were they answered

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Speaker 2: questions from the customer, They scheduled the appointment, They told

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Speaker 2: them where the shut off water valve is and where

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Speaker 2: to look for it. They I mean, they literally did everything.

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Speaker 2: And the days of press one for more information those

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Speaker 2: are coming to a close rapidly. I mean, I couldn't

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Speaker 2: believe that this AI can that it was AI generated.

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Speaker 2: I mean, the questions and answers from this AI was unbelievable.

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Speaker 2: I just don't know if this is the beginning of

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Speaker 2: the end of humans. I mean, I always Terminator was

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Speaker 2: a very scary movie for me when I was growing up,

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Speaker 2: and I thought.

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Speaker 1: How are you going to kill this roboty?

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Speaker 2: Just you put a dynamite in his pants and he

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Speaker 2: just keeps going.

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Speaker 1: I mean, is this is this a concern is?

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Speaker 2: I mean I know that there are concerns about it, obviously,

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Speaker 2: And we're going to get AI and just with some

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Speaker 2: nefarious people and they're going to turn AI bots into

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Speaker 2: you know whatever that's going to happen, But are you

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Speaker 2: as concerned about it as I am.

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Speaker 3: I'm definitely concerned. I am concerned that I don't know

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Speaker 3: where the endgame is for this right and so I

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Speaker 3: think that I'm concerned with the most vulnerable in my

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Speaker 3: line of work, people who are falling in love with

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Speaker 3: these AI and or teenagers who are who are getting

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Speaker 3: on these AI divide you know, chatbots and asking what

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Speaker 3: they should do, and and these chat thoughts are giving

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Speaker 3: them sometimes deadly advice yeahing them to do things that

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Speaker 3: are just catastrophic upon their lives because they are not

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Speaker 3: taking into account the nuance of their relationships and what's

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Speaker 3: going on. It's more just that computing and just giving

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Speaker 3: them a computed answer. So I am concerned about the

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Speaker 3: dangers of AI. I don't know where it's gonna I

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Speaker 3: think that it's here to stay. So I think that

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Speaker 3: we need to consider how do we how do we

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Speaker 3: start to put limitations on it?

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Speaker 2: That that is the question, and it's there's there's not

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Speaker 2: a lot of regulation right now because there's so many

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Speaker 2: people working on it, and it's a race to become

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Speaker 2: the first to do this and the second to do that,

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Speaker 2: and it's it's going to be an interesting next few

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Speaker 2: years for all of us with with AI. When we

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Speaker 2: come back, as doctor West is going to stay with

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Speaker 2: us for at least one more break. We're going to

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Speaker 2: talk about and you mentioned cell phones and how we're addicted,

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Speaker 2: and we've mentioned before social media, how what kind of

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Speaker 2: damage it is doing to our brain and how we

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Speaker 2: can combat that. This is interesting stuff. And listen, we

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Speaker 2: are the governors of our own lives. We're the creators.

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Speaker 2: It is up to monitor our type of behavior with

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Speaker 2: these addictive cell phones and social media. So we're going

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Speaker 2: to get into that in a minute. Right now, we're

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Speaker 2: going to take a break. Brady Brady Hopkins has news

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Speaker 2: whether in traffic. It's Donna D with Doctor Wes seven

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Speaker 2: hundred WLW, Cincinnati.

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Speaker 1: Saturday Night.

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Speaker 2: It's Dona D and we're talking about the challenges with

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Speaker 2: our relationship with technology. AI is getting bigger, better and better.

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Speaker 2: If that's the way you want to look at If

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Speaker 2: people are having, you know, some romantic relationships.

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Speaker 1: With their AI humanoids, is this where we're going?

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Speaker 2: We all read, but he know many of us are

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Speaker 2: addicted to our cell phones. We know that we know

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Speaker 2: many of us are addicted to social media and doomscrolling,

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Speaker 2: but did you know that those short form videos are

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Speaker 2: hurting our brain? There is a growing research that shows

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Speaker 2: that TikTok reels, those shorts can and does affect attention,

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Speaker 2: memory and the brain's reward systems. I mean, this is

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Speaker 2: kind of scary because we knew social media was like,

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Speaker 2: it's addicting, it can't get off as it's free kills,

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Speaker 2: but we didn't know it was affecting our brains like this.

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Speaker 2: And scientists they don't say it destroys the brain, but

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Speaker 2: many studies show it can rewire how we focus and

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Speaker 2: see stimulation. Back to join us for this segment. So

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Speaker 2: happy to have you, doctor Wes. Always a pleasure to

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Speaker 2: have you on the show with me. You haven't been

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Speaker 2: in the.

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Speaker 1: Studio a little bit. You've been calling in.

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Speaker 2: I know it's been a little bit of a challenge

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Speaker 2: because you work so hard so do why But thank

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Speaker 2: you for calling in and I hope we get to

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Speaker 2: see each other live in person by next Saturday.

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Speaker 3: Absolutely, yes, that is the plan for sure. So yeah,

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Speaker 3: this is a This is something that I see a

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Speaker 3: lot in my practice and for me, I see it

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Speaker 3: showing up as as increased anxiety, depression, and social comparison.

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Speaker 3: It's the social comparison that I think is causing a

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Speaker 3: lot of trouble in the clients I work with.

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Speaker 1: Okay, and social comparison.

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Speaker 2: We always talk about comparison is the thief of joy

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Speaker 2: when you're comparison, when you're comparing your life to somebody else's,

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Speaker 2: it doesn't even matter who it is. It always looks

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Speaker 2: like their life is way better and you've got nothing

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Speaker 2: going on. Is that what you mean about social comparison

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Speaker 2: and the anxiety that it causes?

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Speaker 3: Absolutely? Absolutely, But I also see it also showing up

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Speaker 3: by taking shorter attention spans. I see why it's reaching

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Speaker 3: for their phones and session. A lot of them have

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Speaker 3: trouble just not staying plugged in for fifty minutes. Yeah, no,

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Speaker 3: it's really hard for them.

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Speaker 2: Yes, I've seen it when I'm teaching yoga on occasion,

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Speaker 2: somebody will pick up their phone and I'm like, it's

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Speaker 2: just an hour. But we always talk about, and you

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Speaker 2: do specifically about the dopamine reward loop, so like it

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Speaker 2: makes these videos addictive? Can you go into why these

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Speaker 2: short videos trigger that dopamine rush is it a constant stimulation.

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Speaker 1: Doctor wes.

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Speaker 3: Well, it's a reward signal. So the brain's dopamine based

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Speaker 3: reward system is what's activated when you're scrolling, when you're

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Speaker 3: constantly seeing something new. It's the novelty aspect of it.

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Speaker 3: So each notification is a new piece of content. So

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Speaker 3: it creates this small reward signal reinforcing the habit of

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Speaker 3: checking the phone. So over time it becomes compulsive because

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Speaker 3: your brain is constantly seeking out that next reward signal

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Speaker 3: because it's seeing something new, it's seeing something that might

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Speaker 3: be you never know, right, and so it's it's leading

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Speaker 3: you to really have a pattern similar to behavioral addiction.

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Speaker 3: So it is about that reward signal going on in

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Speaker 3: your brain.

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Speaker 2: I can see it within myself, Like if I have been,

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Speaker 2: you know, on social media too long and I'm on

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Speaker 2: Instagram or something, and if someone doesn't get to the

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Speaker 2: point real quick, I just fast forward a video, I'll

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Speaker 2: just scroll through it, and I feel like this is

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Speaker 2: going to get worse before it gets better until we

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Speaker 2: get real, real, real, real studies on like, wow, this

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Speaker 2: is not good doing well for anybody that lasts more

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Speaker 2: than an hour on social media because if you look

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Speaker 2: at Netflix and some of the studios, they are now

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Speaker 2: creating those small reels instead of full movies, like two

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Speaker 2: hour movies.

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Speaker 1: They are going into that.

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Speaker 2: You can see podcasting is a big deal, which I

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Speaker 2: think is great. I love podcasting. But they're getting into

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Speaker 2: these TikTok reels that these the you know, they're they're

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Speaker 2: You're gonna see this more and more from you know, uh,

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Speaker 2: all of our streaming services, and I think it's gonna

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Speaker 2: it's gonna zap our attention span. I mean because reading

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Speaker 2: seems boring now. Critical thinking, sitting there thinking or having

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Speaker 2: conversations seems boring now because these dopamine hits from from

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Speaker 2: somebody running their car into a you know, a house

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Speaker 2: or something, and you know these crazy things that come

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Speaker 2: up on TikTok. How do we how do we stop

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Speaker 2: the dance? Like I said, this is all up to us.

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Speaker 2: I mean, nobody can monitor how much I am on

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Speaker 2: you know, I'm not on TikTok, but I'm on Instagram.

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Speaker 1: How much am I on Instagram? How much am I

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Speaker 1: on Facebook? How much am I'm on Twitter?

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Speaker 2: And YouTube and things like that. What can we do

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Speaker 2: to help heal our brain? Because I do know that

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Speaker 2: the brain is very pliable and when you work with it,

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Speaker 2: it can be you can reverse a lot of these symptoms.

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Speaker 1: What do you think we can do? Doctor Wes.

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Speaker 3: So I work with my clients on Actually there are

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Speaker 3: believe it or not, there are apps that will regulate

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Speaker 3: how much that you use their apps, and so there

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Speaker 3: are services you can get that will actually when you

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Speaker 3: open an app, they will ask you a question, do

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Speaker 3: you really want to give your attention to the technology

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Speaker 3: at this moment in time? Is it worth your and

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Speaker 3: it will it will prompt you to answer the question

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Speaker 3: is it worth what essentially it's doing to you? So

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Speaker 3: it increases your mindfulness related to what's happening on the screen.

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Speaker 3: And that's been It's like a digital detox in real time.

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Speaker 3: So that's been helpful for my clients. So we use

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Speaker 3: technology to help us beat technology in a way. Right,

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Speaker 3: So that's been very helpful. That's been very helpful to

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Speaker 3: be able to reduce the amount of time. And it's

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Speaker 3: like anything else, if you tell yourself you can't have something,

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Speaker 3: you want it that much more. So it's not about

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Speaker 3: all or nothing. It's going to be about let's just

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Speaker 3: limit it a little bit, but maybe you take a

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Speaker 3: couple of times where you would have engaged in looking

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Speaker 3: at your phone and you put it down because you're

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Speaker 3: prompted with that question.

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Speaker 2: Well, speaking of Instagram, I saw this guy because sometimes

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Speaker 2: Instagram can be really cool, like you can find inspiring stuff.

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Speaker 2: I'm not hating on social media. I just think everything

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Speaker 2: in moderation, and this is including the addiction to your

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Speaker 2: cell phone, because I can freely admit that I take

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Speaker 2: it everywhere. I literally take my phone everywhere. And this

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Speaker 2: guy created a thing called going nineties where he and

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Speaker 2: his friends, if they're meeting for a hike or going

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Speaker 2: to play basketball, that they leave their phone home. I'm

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Speaker 2: going to have Russ play the clip and we'll talk

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Speaker 2: about it right after.

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Speaker 4: People have to start going nineties, which is the thing

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Speaker 4: that me and my friends do. We'll leave our phones

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Speaker 4: at home if we're going to go for a walk,

437
00:25:11,400 --> 00:25:14,280
Speaker 4: or go to a store, or go get food. The

438
00:25:14,359 --> 00:25:16,680
Speaker 4: term comes from in the nineties, if you left your house,

439
00:25:16,720 --> 00:25:18,359
Speaker 4: your phone was still attached to the wall because in

440
00:25:18,400 --> 00:25:20,239
Speaker 4: the nineties no one had cell phones, So we call

441
00:25:20,280 --> 00:25:21,120
Speaker 4: it going nineties.

442
00:25:21,680 --> 00:25:24,520
Speaker 5: The idea is just leave your phone at home. It's

443
00:25:24,560 --> 00:25:25,240
Speaker 5: going to be fine.

444
00:25:25,280 --> 00:25:27,119
Speaker 4: You're not the president of the United States, you're not

445
00:25:27,200 --> 00:25:28,520
Speaker 4: running a billion dollar company.

446
00:25:28,720 --> 00:25:30,240
Speaker 5: It's going to be okay if you're offline for an

447
00:25:30,280 --> 00:25:30,879
Speaker 5: hour or two.

448
00:25:31,400 --> 00:25:34,920
Speaker 4: And it really just makes any time you're with somebody

449
00:25:34,920 --> 00:25:38,600
Speaker 4: else so much more present. And we've also found that

450
00:25:38,880 --> 00:25:41,080
Speaker 4: things just happen. There's a different energy that you have

451
00:25:41,240 --> 00:25:43,520
Speaker 4: when you are we call it when you're nineties.

452
00:25:43,960 --> 00:25:45,280
Speaker 5: It's just something I would encourage you to do.

453
00:25:45,320 --> 00:25:47,639
Speaker 4: If you live in a walkable place, if you go

454
00:25:47,720 --> 00:25:49,440
Speaker 4: out for a walk with friends, if you can walk

455
00:25:49,480 --> 00:25:52,960
Speaker 4: to a store, do an errand anything that you can

456
00:25:53,000 --> 00:25:56,040
Speaker 4: do for like an hour or two. I just I

457
00:25:56,080 --> 00:25:59,160
Speaker 4: cannot recommend it enough. Hopefully, hopefully it's becomes a trend

458
00:25:59,200 --> 00:26:01,400
Speaker 4: and people do it. But yeah, going nineties is something

459
00:26:01,440 --> 00:26:02,400
Speaker 4: I would really recommend.

460
00:26:03,119 --> 00:26:06,600
Speaker 1: I am so going nineties. I am so doing that.

461
00:26:06,840 --> 00:26:09,280
Speaker 2: Do you remember, and I'm older than you are, doctor Wes,

462
00:26:09,400 --> 00:26:11,520
Speaker 2: But do you remember we used to have the wall

463
00:26:11,600 --> 00:26:16,199
Speaker 2: phone and it was one phone for the entire family

464
00:26:16,240 --> 00:26:19,480
Speaker 2: in the cord would be like ninety feet long because

465
00:26:19,520 --> 00:26:23,880
Speaker 2: you just walk around the entire house. I actually miss that.

466
00:26:24,320 --> 00:26:27,120
Speaker 2: And when he was talking about how you can't imagine

467
00:26:27,160 --> 00:26:29,960
Speaker 2: how good it feels to not have this phone. So

468
00:26:30,119 --> 00:26:32,439
Speaker 2: every time I take my dog Gus for a walk,

469
00:26:32,760 --> 00:26:36,719
Speaker 2: I'm leaving my phone at home and that doesn't happen.

470
00:26:37,160 --> 00:26:39,840
Speaker 2: I like, would you say you're addicted to your phone,

471
00:26:39,880 --> 00:26:40,840
Speaker 2: doctor Wes.

472
00:26:41,880 --> 00:26:44,879
Speaker 3: Oh, absolutely, yeah, absolutely yeah.

473
00:26:44,920 --> 00:26:47,240
Speaker 2: I mean it's so hard for all of us. So

474
00:26:47,640 --> 00:26:50,159
Speaker 2: I am going to start going nineties. I am really

475
00:26:50,200 --> 00:26:53,840
Speaker 2: going to put this into practice and be curious about

476
00:26:53,880 --> 00:26:58,800
Speaker 2: how I feel. So researchers in psychology, neuroscience, and behavior science,

477
00:26:58,840 --> 00:27:04,720
Speaker 2: I'll suggest several ways to counteract the effects of constant scrolling.

478
00:27:04,720 --> 00:27:08,639
Speaker 2: Because we've got to rebuild deep attention. We've got to

479
00:27:08,720 --> 00:27:13,800
Speaker 2: do activities that require sustained focus to help restore the brain.

480
00:27:14,000 --> 00:27:16,200
Speaker 2: And so I'm going to give you a couple of these,

481
00:27:16,240 --> 00:27:18,320
Speaker 2: doctor Wess, and let me know if you agree with it.

482
00:27:18,800 --> 00:27:23,480
Speaker 2: Reading a book for twenty to thirty minutes a day, Yes,

483
00:27:25,040 --> 00:27:28,320
Speaker 2: I always put on my to do list reading, and

484
00:27:28,400 --> 00:27:31,639
Speaker 2: for some reason, I'm like, out of seven days a

485
00:27:31,680 --> 00:27:33,560
Speaker 2: week on my to do list, I'll.

486
00:27:33,480 --> 00:27:35,400
Speaker 1: Hit three of those days with reading.

487
00:27:35,880 --> 00:27:37,399
Speaker 2: And I need to pick it up a little bit

488
00:27:37,480 --> 00:27:42,080
Speaker 2: more because it is to dive into a good book

489
00:27:42,680 --> 00:27:45,600
Speaker 2: is so it's so thrilling and a lot of people

490
00:27:45,600 --> 00:27:48,560
Speaker 2: don't read, and I you know, my nephew is a

491
00:27:48,840 --> 00:27:52,880
Speaker 2: big reader. I mean he reads probably forty eight to

492
00:27:52,920 --> 00:27:55,879
Speaker 2: fifty books a year. And I said, how do you

493
00:27:56,040 --> 00:27:58,800
Speaker 2: feel reading so many books? And he said, like my

494
00:27:58,920 --> 00:28:04,919
Speaker 2: brain was thirsty. That's so, he said. It is an

495
00:28:05,040 --> 00:28:08,720
Speaker 2: unbelievable difference. And he's not addicted to his phone. He

496
00:28:08,840 --> 00:28:11,000
Speaker 2: likes his phone, but he's not addicted to it. This

497
00:28:11,160 --> 00:28:14,200
Speaker 2: is something that works writing or journaling every day. You're

498
00:28:14,200 --> 00:28:21,840
Speaker 2: a big journaler. Conversations absolutely long conversations without your phones.

499
00:28:22,000 --> 00:28:24,840
Speaker 2: So when you're face to face with a partner, do

500
00:28:24,920 --> 00:28:31,440
Speaker 2: you feel like healing conversations can restore anxiety and depression

501
00:28:31,920 --> 00:28:37,600
Speaker 2: and you know, disorders from being on the phone too long.

502
00:28:37,680 --> 00:28:42,360
Speaker 3: Doctor Wes, I'll do it because you're co regulating. When

503
00:28:42,360 --> 00:28:45,239
Speaker 3: you're with someone and they're able to listen to you,

504
00:28:45,320 --> 00:28:47,840
Speaker 3: then you they're able to echo back what they heard

505
00:28:47,920 --> 00:28:50,920
Speaker 3: you say. That helps you to feel the flight, wight

506
00:28:51,000 --> 00:28:55,040
Speaker 3: or freeze. Part of your brain becomes more regulated. You

507
00:28:55,120 --> 00:28:57,920
Speaker 3: don't feel as you feel safer, you don't feel under

508
00:28:57,960 --> 00:29:02,360
Speaker 3: attack from these anxious feelings or thoughts or these sad feelings.

509
00:29:02,400 --> 00:29:05,959
Speaker 3: You can feel much Once you feel seen, heard and validated.

510
00:29:06,600 --> 00:29:09,160
Speaker 3: You feel better, Yeah, you just feel better.

511
00:29:09,280 --> 00:29:14,040
Speaker 2: Yeah, So listening to podcast or the radio, learning a

512
00:29:14,080 --> 00:29:17,360
Speaker 2: new skill, music, art, or language. When you're learning something

513
00:29:17,480 --> 00:29:22,600
Speaker 2: new and you get into a project that can absolutely

514
00:29:22,800 --> 00:29:25,239
Speaker 2: bring you to the present moment. I can't even tell you.

515
00:29:25,280 --> 00:29:27,920
Speaker 2: When I pick up my guitar and play it is

516
00:29:29,200 --> 00:29:32,600
Speaker 2: it brings me right right into the present moment. And

517
00:29:32,760 --> 00:29:36,800
Speaker 2: researchers are saying, just start with fifteen minutes with uninterrupted

518
00:29:36,880 --> 00:29:43,680
Speaker 2: focus and then gradually extend from there. Obviously for the

519
00:29:43,720 --> 00:29:50,160
Speaker 2: dopamine balance, exercise, walking outside again, leaving your phone at home, meditation,

520
00:29:50,960 --> 00:29:55,040
Speaker 2: creative work, and that face to face connection is really

521
00:29:55,080 --> 00:29:59,000
Speaker 2: big to balance that dopamine out. Are you are you

522
00:29:59,160 --> 00:30:03,880
Speaker 2: seeing like you? And I know you just touched on this.

523
00:30:04,000 --> 00:30:08,720
Speaker 2: When you counsel couples in your office, is there always

524
00:30:08,880 --> 00:30:13,360
Speaker 2: one that is more on the phone and dis engaged

525
00:30:13,480 --> 00:30:16,360
Speaker 2: than the other or does it seem like both people

526
00:30:16,400 --> 00:30:16,920
Speaker 2: are doing it?

527
00:30:17,000 --> 00:30:20,160
Speaker 3: Now? You know it seems like what people are doing

528
00:30:20,200 --> 00:30:24,360
Speaker 3: it absolutely Yeah. Now there may be one who is

529
00:30:25,200 --> 00:30:29,240
Speaker 3: There may be one who is more offended by the

530
00:30:29,280 --> 00:30:32,000
Speaker 3: other person being on the phone. They feel they feel

531
00:30:32,040 --> 00:30:34,560
Speaker 3: that the person is choosing the phone over them. But

532
00:30:35,040 --> 00:30:37,440
Speaker 3: when I dig into the behavior, they're both using their

533
00:30:37,480 --> 00:30:40,480
Speaker 3: phones when they could be tuning into each other.

534
00:30:41,240 --> 00:30:42,760
Speaker 1: So do you because I know.

535
00:30:44,440 --> 00:30:46,520
Speaker 2: We talk about this all the time, because I ask

536
00:30:46,600 --> 00:30:47,640
Speaker 2: you questions about it.

537
00:30:47,920 --> 00:30:49,480
Speaker 1: Would you give boundaries?

538
00:30:50,920 --> 00:30:54,200
Speaker 2: If you're seeing a couple in your office and they're

539
00:30:54,200 --> 00:30:56,960
Speaker 2: constantly looking at their phones, would you say we need

540
00:30:57,000 --> 00:31:00,239
Speaker 2: to leave the phones? How would you handle that if

541
00:31:00,280 --> 00:31:02,760
Speaker 2: they're constantly doing it? Would you say, all right, no

542
00:31:02,960 --> 00:31:07,000
Speaker 2: phones because parents are having to do this all the time.

543
00:31:07,160 --> 00:31:10,680
Speaker 2: No phones at the dinner table, or maybe couples are

544
00:31:10,760 --> 00:31:14,440
Speaker 2: no phones in the bedroom. I know that when I

545
00:31:14,600 --> 00:31:19,080
Speaker 2: go out with friends and I see if I was

546
00:31:19,120 --> 00:31:21,640
Speaker 2: with somebody that was constantly on the phone, I would

547
00:31:21,640 --> 00:31:25,360
Speaker 2: call them out on that. I would say, is unless

548
00:31:25,400 --> 00:31:29,720
Speaker 2: it was like an emergency or you we just got

549
00:31:29,720 --> 00:31:31,680
Speaker 2: off work and you have to deal with an issue.

550
00:31:32,000 --> 00:31:36,560
Speaker 2: I totally get that, But like you know, I think

551
00:31:36,560 --> 00:31:39,760
Speaker 2: there has to be some adult in the room to say, hey,

552
00:31:39,800 --> 00:31:43,000
Speaker 2: you guys, we're here to connect and if everyone's going

553
00:31:43,080 --> 00:31:46,120
Speaker 2: to be on their phones, then let's just call this

554
00:31:46,240 --> 00:31:48,560
Speaker 2: a day and we'll do it another time when the

555
00:31:48,640 --> 00:31:52,240
Speaker 2: phones aren't the you know, the fifth wheel, first fifth

556
00:31:52,240 --> 00:31:53,080
Speaker 2: person in the room.

557
00:31:53,520 --> 00:31:56,560
Speaker 1: Do you do that with your your clients.

558
00:31:58,680 --> 00:32:01,600
Speaker 3: Yeah, with definitely with Michael, and they absolutely have their

559
00:32:01,600 --> 00:32:04,400
Speaker 3: phones either turned off or they And what I'll do

560
00:32:04,520 --> 00:32:06,760
Speaker 3: is I'll model that when they walk in the room,

561
00:32:07,120 --> 00:32:09,520
Speaker 3: I'll say something like, Okay, I'm gonna silent my phone

562
00:32:09,520 --> 00:32:11,160
Speaker 3: and I'm going to turn it over, and then they'll

563
00:32:11,240 --> 00:32:14,160
Speaker 3: they'll do the same thing. So I'm modeling the behavior

564
00:32:14,200 --> 00:32:17,959
Speaker 3: that I want them to engage in and they will follow.

565
00:32:18,040 --> 00:32:20,080
Speaker 3: But if they don't and they're constantly on it, then

566
00:32:20,080 --> 00:32:23,280
Speaker 3: I'll just gently be curious and ask them what's coming

567
00:32:23,360 --> 00:32:24,880
Speaker 3: up for them right now that feels like they have

568
00:32:24,960 --> 00:32:27,120
Speaker 3: to be on that phone, and then we'll just kind

569
00:32:27,120 --> 00:32:30,480
Speaker 3: of process through that emotion or that that that tendency

570
00:32:30,520 --> 00:32:35,040
Speaker 3: to be so plugged into it that's creating anxiety, you know,

571
00:32:35,120 --> 00:32:36,560
Speaker 3: for them not to be checking it.

572
00:32:36,520 --> 00:32:39,640
Speaker 2: Usually well, and it's disrespectful to the person in the

573
00:32:39,720 --> 00:32:42,920
Speaker 2: room with you and for your time as well. I mean,

574
00:32:43,760 --> 00:32:47,600
Speaker 2: people don't understand. And this is what I am as

575
00:32:47,640 --> 00:32:50,880
Speaker 2: I am learning about how to take my own boundaries

576
00:32:50,920 --> 00:32:54,479
Speaker 2: with my own cell phone, because you know, I you know,

577
00:32:54,560 --> 00:32:56,920
Speaker 2: I have jobs, and I have a lot of people,

578
00:32:57,280 --> 00:33:00,560
Speaker 2: and I sometimes have fomo like everybody else. I don't

579
00:33:00,560 --> 00:33:03,400
Speaker 2: want to miss out on anything. We're you know, we're

580
00:33:03,400 --> 00:33:06,680
Speaker 2: we're a news talk station two breaking news, and I'll

581
00:33:07,000 --> 00:33:10,280
Speaker 2: I'll text Eddie or Sterling or somebody that's, oh my god,

582
00:33:10,320 --> 00:33:11,440
Speaker 2: did you see what happened?

583
00:33:11,640 --> 00:33:12,480
Speaker 1: That kind of stuff.

584
00:33:12,480 --> 00:33:16,000
Speaker 2: But I have to have boundaries for myself, just like

585
00:33:16,160 --> 00:33:21,479
Speaker 2: in any other relationship, and our relationship to our phone

586
00:33:21,600 --> 00:33:24,920
Speaker 2: and the tech devices that we bring into our life

587
00:33:24,920 --> 00:33:27,800
Speaker 2: all the time. I really feel like it is very

588
00:33:27,840 --> 00:33:31,320
Speaker 2: important to set boundaries for yourself. And it's gonna be

589
00:33:31,400 --> 00:33:34,920
Speaker 2: odd because those people that do set boundaries. When you

590
00:33:34,960 --> 00:33:37,760
Speaker 2: see somebody that's constantly on their phone all the time,

591
00:33:38,400 --> 00:33:41,920
Speaker 2: it's just it's it's almost torture. It's like a you know,

592
00:33:42,000 --> 00:33:44,400
Speaker 2: it's you can't get rid of this thing.

593
00:33:46,040 --> 00:33:50,000
Speaker 3: No, no, it becomes definitely something that you are. We

594
00:33:50,320 --> 00:33:53,480
Speaker 3: say addicted too, but I would say dependent on. It's

595
00:33:53,520 --> 00:33:57,040
Speaker 3: a dependency. And it's a dependency because it is again,

596
00:33:57,320 --> 00:33:59,920
Speaker 3: it's giving us what we want in the moment. It's

597
00:34:00,040 --> 00:34:03,160
Speaker 3: also full of novelty. It's always going to be something new.

598
00:34:03,280 --> 00:34:04,840
Speaker 3: We never know what we're going to miss out on.

599
00:34:05,160 --> 00:34:08,840
Speaker 3: It's just it's that dopamine reward system we talked about. Yeah,

600
00:34:08,920 --> 00:34:11,080
Speaker 3: that's the loop that we get stuck in.

601
00:34:11,480 --> 00:34:14,920
Speaker 2: I'm telling you I have been experimenting with sleeping because

602
00:34:14,920 --> 00:34:17,200
Speaker 2: that has stopped me and I put my phone on

603
00:34:17,280 --> 00:34:21,239
Speaker 2: the other side of the room and that has helped

604
00:34:21,280 --> 00:34:23,319
Speaker 2: me a lot. The good news is the brain can

605
00:34:23,440 --> 00:34:27,480
Speaker 2: recover quickly even with a few weeks with these types

606
00:34:27,520 --> 00:34:31,600
Speaker 2: of boundaries. You know, no phones at the dinner table,

607
00:34:31,680 --> 00:34:34,560
Speaker 2: no phe phones in the bedroom. You know, make sure

608
00:34:34,560 --> 00:34:38,919
Speaker 2: that you're getting out and walking. Do that the nineties thing.

609
00:34:39,880 --> 00:34:42,479
Speaker 2: Get out and exercise and walk and leave your phone

610
00:34:42,520 --> 00:34:46,719
Speaker 2: at home, and you will start to see the road

611
00:34:46,880 --> 00:34:51,080
Speaker 2: back to recovery of your attention span coming back and

612
00:34:51,120 --> 00:34:53,560
Speaker 2: that kind of stuff. Doctor West, you're staying on for

613
00:34:53,680 --> 00:34:55,680
Speaker 2: one more break with us. We're going to get into

614
00:34:55,719 --> 00:34:59,680
Speaker 2: things that we value the most as life speeds up,

615
00:35:00,080 --> 00:35:02,799
Speaker 2: as we get older, We're going to come back. It's

616
00:35:02,880 --> 00:35:06,799
Speaker 2: Donna Deewood, doctor Wes On seven hundred WLW, Cincinnati.

617
00:35:07,200 --> 00:35:10,520
Speaker 3: You see, like, how can I how can I, you know,

618
00:35:10,719 --> 00:35:15,440
Speaker 3: be effective and really and depend on myself and my

619
00:35:15,520 --> 00:35:20,200
Speaker 3: own innersecurity and my own competencies, and so I do

620
00:35:20,320 --> 00:35:22,840
Speaker 3: think that's related to emotional intelligence and being able to

621
00:35:22,960 --> 00:35:27,200
Speaker 3: navigate that I do think that's a very healthy, very

622
00:35:27,320 --> 00:35:30,080
Speaker 3: very healthy skill to develop, for sure.

623
00:35:30,880 --> 00:35:33,200
Speaker 2: Well, it's it's it's not that I don't want to

624
00:35:33,280 --> 00:35:34,920
Speaker 2: rely on anyone.

625
00:35:35,239 --> 00:35:36,120
Speaker 1: It's more that.

626
00:35:37,560 --> 00:35:42,680
Speaker 2: I want to be able to sit with those uncomfortable

627
00:35:42,719 --> 00:35:45,640
Speaker 2: feelings without picking up the phone and having someone make

628
00:35:45,680 --> 00:35:46,680
Speaker 2: me feel better.

629
00:35:47,239 --> 00:35:51,480
Speaker 1: Right, Yeah, yeah, what do you call that? What would

630
00:35:51,480 --> 00:35:52,160
Speaker 1: you call that?

631
00:35:54,560 --> 00:35:54,719
Speaker 6: So?

632
00:35:54,920 --> 00:36:00,319
Speaker 3: I would call that differentiation differentiation of self. Be able

633
00:36:00,360 --> 00:36:04,080
Speaker 3: to sit with these emotions and just sit with them

634
00:36:04,160 --> 00:36:08,120
Speaker 3: without without judging yourself, without seeking to be rescued from it,

635
00:36:08,800 --> 00:36:12,000
Speaker 3: without just just to learn about it, To be able

636
00:36:12,000 --> 00:36:15,800
Speaker 3: to deepen in that emotion, I think, is what you're saying.

637
00:36:15,920 --> 00:36:20,240
Speaker 2: Yes, and I like that you said without having to

638
00:36:21,080 --> 00:36:22,880
Speaker 2: run front from it or fix it.

639
00:36:22,920 --> 00:36:23,640
Speaker 1: I'm not trying to.

640
00:36:23,680 --> 00:36:27,960
Speaker 2: I'm just trying to, you know, handle, handle it and

641
00:36:28,200 --> 00:36:32,479
Speaker 2: learn from it. Yes, you know, we all get these

642
00:36:32,680 --> 00:36:35,680
Speaker 2: We always get these things, right, doctor West. We get

643
00:36:35,680 --> 00:36:40,200
Speaker 2: these We get these emotions that come up that don't

644
00:36:40,239 --> 00:36:43,560
Speaker 2: necessarily mean anything but feels like they're the end of

645
00:36:43,600 --> 00:36:47,120
Speaker 2: the world sometimes and if you just sit with them

646
00:36:47,160 --> 00:36:50,920
Speaker 2: for a little bit, they dissipate and you realize, Okay,

647
00:36:51,440 --> 00:36:53,520
Speaker 2: that wasn't that big of a deal. I had nothing

648
00:36:53,680 --> 00:36:57,840
Speaker 2: really to worry about. I have handled way more stronger

649
00:36:57,880 --> 00:37:00,000
Speaker 2: things than an emotion that's just going to come up

650
00:37:00,200 --> 00:37:00,920
Speaker 2: for no reason.

651
00:37:01,040 --> 00:37:06,480
Speaker 3: Right, sure, absolutely. I tell my clients your thoughts, your feelings,

652
00:37:06,520 --> 00:37:10,560
Speaker 3: they're like they're like leaves on a stream. Just sit

653
00:37:10,600 --> 00:37:13,600
Speaker 3: on the bank and observe them. Yes, as they as

654
00:37:13,600 --> 00:37:15,680
Speaker 3: they go down, go down the stream. You don't have

655
00:37:15,719 --> 00:37:19,080
Speaker 3: to do anything. Just observe them. Notice what they what

656
00:37:19,120 --> 00:37:22,680
Speaker 3: they feel like, notice what the thought, what that thought

657
00:37:23,080 --> 00:37:26,480
Speaker 3: feels like to you, And don't do anything right now,

658
00:37:26,640 --> 00:37:27,319
Speaker 3: just observe it.

659
00:37:28,040 --> 00:37:31,520
Speaker 2: Yeah, I got to tell you that growing older, there's

660
00:37:32,120 --> 00:37:35,960
Speaker 2: there's plenty of things that you know that are not

661
00:37:36,360 --> 00:37:39,359
Speaker 2: that great about getting older. You know, I don't sit

662
00:37:39,480 --> 00:37:42,640
Speaker 2: down without making a moan or I get up, And

663
00:37:43,320 --> 00:37:46,240
Speaker 2: I mean, honestly, I hear myself do it all the time.

664
00:37:46,719 --> 00:37:50,319
Speaker 2: But I you know, when I hit forty, which was

665
00:37:50,360 --> 00:37:51,080
Speaker 2: a great year.

666
00:37:51,160 --> 00:37:52,960
Speaker 1: When I hit forty, one.

667
00:37:52,800 --> 00:37:56,759
Speaker 2: Of the things that that hit me strong was not

668
00:37:57,000 --> 00:37:59,319
Speaker 2: caring what other people thought of me. I read this

669
00:37:59,440 --> 00:38:02,520
Speaker 2: quote by Kaylee Catherine Jones had said, it's none of

670
00:38:02,560 --> 00:38:04,640
Speaker 2: my business what other people think of man.

671
00:38:04,760 --> 00:38:05,160
Speaker 1: Man.

672
00:38:05,600 --> 00:38:08,480
Speaker 2: One of that is one of the greatest things to

673
00:38:09,160 --> 00:38:12,280
Speaker 2: as you get older that you care less and less

674
00:38:12,800 --> 00:38:16,560
Speaker 2: about what other people think about you and more about

675
00:38:16,640 --> 00:38:20,759
Speaker 2: what you feel about yourself. That's got to be the greatest,

676
00:38:22,000 --> 00:38:26,600
Speaker 2: the greatest thing about getting older. But again, you know,

677
00:38:27,680 --> 00:38:32,240
Speaker 2: there's been the longest running Harvard study in the world

678
00:38:32,320 --> 00:38:38,080
Speaker 2: here that says the greatest predictor of happiness as you

679
00:38:38,160 --> 00:38:42,280
Speaker 2: get older and longevity is the quality of your relationships.

680
00:38:43,120 --> 00:38:46,160
Speaker 2: They become much more important than the quantity how many

681
00:38:46,200 --> 00:38:49,000
Speaker 2: friends you have. It is the quality of those that

682
00:38:49,080 --> 00:38:52,200
Speaker 2: you consider your best friends. That is, that is what

683
00:38:52,320 --> 00:38:57,760
Speaker 2: most people value in terms of having a happy, peaceful life,

684
00:38:57,960 --> 00:39:02,280
Speaker 2: is the quality of your relationships as you get older.

685
00:39:02,920 --> 00:39:05,879
Speaker 2: When you're younger, you don't really think about it that much, right,

686
00:39:08,440 --> 00:39:09,000
Speaker 2: that's right.

687
00:39:08,960 --> 00:39:12,200
Speaker 3: Yeah, but as you get older, you're definitely thinking more

688
00:39:12,239 --> 00:39:16,720
Speaker 3: about the quality of those relationships. And they've done research

689
00:39:16,800 --> 00:39:22,520
Speaker 3: too on really the top five regrets people report at

690
00:39:22,520 --> 00:39:25,440
Speaker 3: the end of their life. And these are really fascinating.

691
00:39:25,680 --> 00:39:27,719
Speaker 1: We have time to yeah, we do, what are they?

692
00:39:27,760 --> 00:39:33,239
Speaker 3: Absolutely so the top five regrets people report at the

693
00:39:33,320 --> 00:39:36,520
Speaker 3: end of life. Number one, I wish I had the

694
00:39:36,719 --> 00:39:43,280
Speaker 3: courage to live a life true to myself. That's number one.

695
00:39:43,640 --> 00:39:46,680
Speaker 3: Number two I wish I hadn't worked so much.

696
00:39:46,960 --> 00:39:47,400
Speaker 1: Yeah.

697
00:39:48,200 --> 00:39:51,320
Speaker 3: Number three, I wish I had stayed in touch with friends.

698
00:39:52,600 --> 00:39:55,920
Speaker 3: Number four, I wish I had expressed my feelings more.

699
00:39:56,760 --> 00:39:59,480
Speaker 3: And number five I wish I had allowed myself to

700
00:39:59,480 --> 00:40:00,200
Speaker 3: be happy year.

701
00:40:02,160 --> 00:40:02,799
Speaker 5: Wow.

702
00:40:03,880 --> 00:40:06,440
Speaker 2: You know, I feel like a lot of them have

703
00:40:07,000 --> 00:40:12,160
Speaker 2: a common thread in there that's basically authenticity. Because when

704
00:40:12,200 --> 00:40:17,439
Speaker 2: you grow up in a family and they say, well,

705
00:40:17,560 --> 00:40:19,440
Speaker 2: you should go to this, or they nudge you to

706
00:40:19,480 --> 00:40:23,640
Speaker 2: do that, or I think you should, you should go

707
00:40:23,680 --> 00:40:26,000
Speaker 2: to this college, or you should you.

708
00:40:25,880 --> 00:40:29,720
Speaker 1: Know, live live around, you know this area.

709
00:40:30,400 --> 00:40:34,920
Speaker 2: It's it's always it's you know, with with talking and

710
00:40:35,760 --> 00:40:40,440
Speaker 2: living your life more for you is definitely your responsibility.

711
00:40:40,480 --> 00:40:44,239
Speaker 2: You have to say, hey, I don't want to do that.

712
00:40:44,239 --> 00:40:48,399
Speaker 2: That's not what I have in the cards in my life, right,

713
00:40:48,600 --> 00:40:52,200
Speaker 2: and so is it? Would you consider that in terms

714
00:40:52,280 --> 00:40:54,319
Speaker 2: of what was the first one you read? Because that's

715
00:40:54,320 --> 00:40:56,560
Speaker 2: what really struck me on that first one. What was

716
00:40:56,600 --> 00:40:57,440
Speaker 2: the first regret?

717
00:40:57,800 --> 00:41:01,440
Speaker 3: Yeah, I wish I had the courage to live a

718
00:41:01,560 --> 00:41:03,480
Speaker 3: life true to myself.

719
00:41:03,680 --> 00:41:08,480
Speaker 1: Yes, that's authenticity, and that means they're living for somebody else,

720
00:41:09,239 --> 00:41:12,480
Speaker 1: which is usually somebody that has power over them, maybe

721
00:41:12,520 --> 00:41:16,000
Speaker 1: parents or grandparents or you know, husband or so something

722
00:41:16,120 --> 00:41:19,960
Speaker 1: like that. Am I right, that's right. How did you

723
00:41:20,080 --> 00:41:23,200
Speaker 1: take that, doctor Wes, That's exactly how.

724
00:41:23,440 --> 00:41:26,520
Speaker 3: So. I took it to mean that many people realized

725
00:41:26,960 --> 00:41:31,600
Speaker 3: that they lived according to expectations from family, culture, or work,

726
00:41:32,280 --> 00:41:35,839
Speaker 3: rather than pursuing what they truly find meaningful or what

727
00:41:35,960 --> 00:41:37,040
Speaker 3: really matters to them.

728
00:41:37,200 --> 00:41:37,439
Speaker 6: Yeah.

729
00:41:38,080 --> 00:41:40,360
Speaker 3: Right, So they're living they're living a life according to

730
00:41:40,400 --> 00:41:43,560
Speaker 3: a script given to them, yes, rather than the script

731
00:41:43,640 --> 00:41:44,480
Speaker 3: they want to live.

732
00:41:44,880 --> 00:41:48,279
Speaker 1: Oh boy, that is sad, and I you know, that

733
00:41:48,440 --> 00:41:48,880
Speaker 1: is hard.

734
00:41:49,600 --> 00:41:52,920
Speaker 2: That is absolutely hard when you feel like you can't

735
00:41:53,120 --> 00:41:57,120
Speaker 2: say no to something that you don't want to do

736
00:41:57,440 --> 00:42:00,480
Speaker 2: or yes to something that you do want to do.

737
00:42:01,040 --> 00:42:03,520
Speaker 2: If you want to move away from your family and

738
00:42:04,520 --> 00:42:06,759
Speaker 2: nobody wants you, who the heck wants you to leave?

739
00:42:06,840 --> 00:42:08,000
Speaker 1: Nobody wants you to leave.

740
00:42:08,680 --> 00:42:10,480
Speaker 2: But if you want to move and you want to

741
00:42:10,520 --> 00:42:13,719
Speaker 2: do something and live out of the country, or do

742
00:42:13,880 --> 00:42:17,000
Speaker 2: you know, do something crazy in your life, or not

743
00:42:17,080 --> 00:42:19,440
Speaker 2: go to you know, not not go to college and

744
00:42:19,520 --> 00:42:21,880
Speaker 2: decide you want to take a year off. That's scary

745
00:42:22,040 --> 00:42:24,880
Speaker 2: for a lot of parents to hear their kids say that.

746
00:42:25,480 --> 00:42:28,640
Speaker 2: And I get it because I think college is really important.

747
00:42:28,760 --> 00:42:32,239
Speaker 2: But If that's not your dream, you really can't get

748
00:42:32,239 --> 00:42:34,879
Speaker 2: in the way of somebody else's dream because then you're

749
00:42:34,920 --> 00:42:36,839
Speaker 2: at the end of the they're at the end of their

750
00:42:36,920 --> 00:42:42,319
Speaker 2: life and they're saying, I regret that I didn't, you know,

751
00:42:42,480 --> 00:42:46,280
Speaker 2: live more authentically for myself. That's a big one anyway.

752
00:42:46,400 --> 00:42:50,880
Speaker 2: So emotional peace and stability. You brought that up, and

753
00:42:50,920 --> 00:42:54,759
Speaker 2: that's I honestly on my list as well of what

754
00:42:54,800 --> 00:42:58,839
Speaker 2: people value most. They want emotional peace and they want

755
00:42:58,880 --> 00:43:02,160
Speaker 2: stability as they get older. They want freedom from drama

756
00:43:02,680 --> 00:43:07,080
Speaker 2: and conflict. I mean, that is a big deal, and

757
00:43:07,200 --> 00:43:11,120
Speaker 2: I know that that I want that. So they want

758
00:43:11,280 --> 00:43:17,319
Speaker 2: love and connection, they want emotional peace and stability. They

759
00:43:17,480 --> 00:43:23,960
Speaker 2: want purpose in life, whether it's mentoring young people or volunteering,

760
00:43:24,480 --> 00:43:28,440
Speaker 2: or helping family and friends, or even sharing wisdom and

761
00:43:28,520 --> 00:43:34,200
Speaker 2: life lessons. Because as you get older, you have you've

762
00:43:34,600 --> 00:43:38,120
Speaker 2: lived for so many years, if you know God willing you,

763
00:43:38,440 --> 00:43:42,520
Speaker 2: you're in your you know, late seventies, eighties and late

764
00:43:42,600 --> 00:43:44,960
Speaker 2: eighties and maybe even into your nineties.

765
00:43:45,400 --> 00:43:46,840
Speaker 1: You've lived a long time.

766
00:43:47,040 --> 00:43:50,760
Speaker 2: You have gifts to give, you have wisdom and life

767
00:43:50,840 --> 00:43:55,360
Speaker 2: lessons to share. The desire to leave something meaningful behind

768
00:43:55,920 --> 00:43:58,400
Speaker 2: is really a lot of what we value.

769
00:43:58,440 --> 00:43:58,560
Speaker 7: Now.

770
00:43:58,560 --> 00:44:01,560
Speaker 2: If we go into personal stfe off and you're younger

771
00:44:01,560 --> 00:44:04,880
Speaker 2: than I am, what what is it that you feel

772
00:44:05,000 --> 00:44:11,360
Speaker 2: you are valuing, doctor Wes as you get older in life, I'm.

773
00:44:11,160 --> 00:44:15,680
Speaker 3: Really valuing presence. I think just being present as I

774
00:44:15,719 --> 00:44:19,560
Speaker 3: get older, taking those taking those breaks, and just sitting

775
00:44:19,600 --> 00:44:24,520
Speaker 3: in silence. I really enjoy that, appreciating life rather than

776
00:44:24,560 --> 00:44:29,880
Speaker 3: postponing it. So just saying I really appreciate and I'm grateful.

777
00:44:30,960 --> 00:44:33,640
Speaker 3: You and I have talked about and you're you're a

778
00:44:33,640 --> 00:44:37,759
Speaker 3: big champion of a gratitude journal. I think that's a

779
00:44:37,800 --> 00:44:41,280
Speaker 3: great idea, just being really thankful and having presents.

780
00:44:42,040 --> 00:44:45,640
Speaker 2: Yeah, and you know you mentioned you know, quiet. Quiet

781
00:44:45,680 --> 00:44:51,160
Speaker 2: mornings for me are so cherished. I am a morning

782
00:44:51,200 --> 00:44:54,880
Speaker 2: person anyway. And so I get up and I'll, you know,

783
00:44:55,040 --> 00:44:57,279
Speaker 2: let the dog out, and I'll make a cup of

784
00:44:57,320 --> 00:44:59,160
Speaker 2: tea or a cup of coffee, and I'll sit with

785
00:44:59,200 --> 00:45:01,759
Speaker 2: my journal and I'll write my to do list. It's

786
00:45:01,840 --> 00:45:04,520
Speaker 2: and I'll put on some meditation music and it's one

787
00:45:04,680 --> 00:45:07,360
Speaker 2: of my favorite things. I'll open all the windows so

788
00:45:07,440 --> 00:45:11,240
Speaker 2: it'll be beautiful in my house, and it is one

789
00:45:11,400 --> 00:45:15,680
Speaker 2: of the things that I look forward to most in

790
00:45:15,760 --> 00:45:20,720
Speaker 2: my day is those two hours that I spend journaling, writing,

791
00:45:20,880 --> 00:45:23,520
Speaker 2: listening to music, talking to my sister on the phone,

792
00:45:23,600 --> 00:45:26,000
Speaker 2: playing with my dog a little bit, and just kind

793
00:45:26,000 --> 00:45:29,399
Speaker 2: of puttering around in the morning before my day gets

794
00:45:29,480 --> 00:45:33,360
Speaker 2: super busy. And I also love anytime that I'm in nature.

795
00:45:33,920 --> 00:45:39,879
Speaker 2: Anytime in nature is something that I absolutely cherish too.

796
00:45:40,560 --> 00:45:44,840
Speaker 2: And conversations like these, doctor West, these are really important

797
00:45:45,120 --> 00:45:49,640
Speaker 2: when you have these deep conversations, whether it's on a

798
00:45:49,719 --> 00:45:53,359
Speaker 2: microphone and through a phone like this, but on a

799
00:45:53,440 --> 00:45:59,239
Speaker 2: daily basis, when you get into beyond the how you're doing. Yeah,

800
00:45:59,239 --> 00:46:01,080
Speaker 2: I got the you know, you give the to do

801
00:46:01,239 --> 00:46:03,279
Speaker 2: list of what you've got to do. I've got to

802
00:46:03,360 --> 00:46:05,000
Speaker 2: you know, I've got to run and do this and

803
00:46:05,040 --> 00:46:08,000
Speaker 2: do that. And you get back and you ask somebody,

804
00:46:08,320 --> 00:46:10,360
Speaker 2: how are you really doing?

805
00:46:10,480 --> 00:46:11,719
Speaker 1: Are you happy in life?

806
00:46:11,800 --> 00:46:15,080
Speaker 2: Give give me a scale, and you really care to

807
00:46:15,239 --> 00:46:19,640
Speaker 2: listen to the answer. How important are those conversations in life?

808
00:46:19,760 --> 00:46:23,440
Speaker 2: And that's what we mean about deep conversations and connections

809
00:46:23,480 --> 00:46:28,400
Speaker 2: with in relationships, like it's not just surface and you know,

810
00:46:28,480 --> 00:46:30,520
Speaker 2: I called to say hi. Those are nice things to

811
00:46:30,560 --> 00:46:33,040
Speaker 2: do texting somebody Hi, I love you, I miss you.

812
00:46:33,440 --> 00:46:37,160
Speaker 2: But like getting into these conversations of what really matters?

813
00:46:37,440 --> 00:46:40,719
Speaker 2: Are you happy? Do you have somebody to do? You

814
00:46:40,719 --> 00:46:43,560
Speaker 2: give anybody a hug today? I mean like that kind

815
00:46:43,640 --> 00:46:44,080
Speaker 2: of stuff.

816
00:46:46,239 --> 00:46:49,080
Speaker 3: Well, I think it regulates your nervous system, you know.

817
00:46:49,120 --> 00:46:52,239
Speaker 3: I think it helps you to feel really rested and

818
00:46:52,320 --> 00:46:57,120
Speaker 3: really what I mean just grounded. So it helps you

819
00:46:57,160 --> 00:47:03,160
Speaker 3: to feel very grounded, very much RESTful in who you

820
00:47:03,200 --> 00:47:06,680
Speaker 3: are as a human. And so I think that they're

821
00:47:06,840 --> 00:47:10,520
Speaker 3: very very important to help retrain the brain that that

822
00:47:10,920 --> 00:47:13,920
Speaker 3: you can you can be safe and secure and you

823
00:47:13,920 --> 00:47:18,759
Speaker 3: can feel known. Feeling known is so important. Feeling known

824
00:47:19,400 --> 00:47:23,000
Speaker 3: and helping others feel known and accepted. People want to

825
00:47:23,040 --> 00:47:24,840
Speaker 3: be seen, they want to be heard, they want to

826
00:47:24,840 --> 00:47:28,040
Speaker 3: be validated, and that helps to regulate your nervous system.

827
00:47:28,280 --> 00:47:31,480
Speaker 3: So they're really life giving conversations. You really have to

828
00:47:31,520 --> 00:47:34,680
Speaker 3: have them. And people that are having more short, shallow

829
00:47:34,760 --> 00:47:39,239
Speaker 3: conversations are probably their nervous system is probably a lot

830
00:47:39,560 --> 00:47:40,759
Speaker 3: a lot more dysregulated.

831
00:47:40,920 --> 00:47:42,120
Speaker 1: Huh. Yeah.

832
00:47:42,320 --> 00:47:44,960
Speaker 2: And you know, and I always say, when you are

833
00:47:45,719 --> 00:47:48,920
Speaker 2: you're still here on this earth and you're breathing, you

834
00:47:49,160 --> 00:47:50,920
Speaker 2: have things to do in this life.

835
00:47:50,960 --> 00:47:51,920
Speaker 1: You have a purpose.

836
00:47:52,360 --> 00:47:55,280
Speaker 2: I mean, there are plenty of people in this life

837
00:47:55,920 --> 00:47:59,960
Speaker 2: that you know became you know, well known in fame,

838
00:48:00,080 --> 00:48:03,200
Speaker 2: missed for for for a number of things. I mean

839
00:48:03,280 --> 00:48:07,040
Speaker 2: Julia Childs TV, I can't go on. She was in

840
00:48:07,080 --> 00:48:11,600
Speaker 2: her late fifties when she became popular a French chef,

841
00:48:11,680 --> 00:48:14,480
Speaker 2: she was on TV, but she soared too in her

842
00:48:14,520 --> 00:48:17,560
Speaker 2: seventies and eighties. And you know, there are people like

843
00:48:18,320 --> 00:48:21,759
Speaker 2: this that that do have gifts to give still in

844
00:48:21,800 --> 00:48:25,480
Speaker 2: this life. And if it's you know, if it's if

845
00:48:25,560 --> 00:48:28,959
Speaker 2: you haven't found that yet, you're still here. You still

846
00:48:29,000 --> 00:48:33,200
Speaker 2: have a purpose and that is also a big, a

847
00:48:33,239 --> 00:48:36,160
Speaker 2: big thing that people value as you get older. What

848
00:48:36,320 --> 00:48:40,080
Speaker 2: is my legacy? What purpose am I going to leave?

849
00:48:40,160 --> 00:48:43,120
Speaker 2: Doctor West? It has been so great to have you on.

850
00:48:43,280 --> 00:48:45,920
Speaker 2: You stayed for three breaks. I hopefully am going to

851
00:48:45,920 --> 00:48:49,600
Speaker 2: see you live in the studio next Saturday. Thank you

852
00:48:49,800 --> 00:48:52,280
Speaker 2: so much for being on air with us today.

853
00:48:53,400 --> 00:48:55,000
Speaker 3: Thank you. I appreciate it.

854
00:48:55,120 --> 00:48:58,000
Speaker 2: Coming up after the break, the Rock and Roll Hall

855
00:48:58,040 --> 00:49:01,120
Speaker 2: of Fame. We know the twenty twenty six you can

856
00:49:01,239 --> 00:49:03,880
Speaker 2: vote for your favorite now voting is open. We're going

857
00:49:03,960 --> 00:49:07,080
Speaker 2: to talk about one of my all time favorite bands

858
00:49:07,080 --> 00:49:09,399
Speaker 2: who is on the list. I feel like there is

859
00:49:09,600 --> 00:49:11,680
Speaker 2: no way they are not going to be inducted into

860
00:49:11,680 --> 00:49:13,840
Speaker 2: the Rock and Roll Hall of Fame. They take seven

861
00:49:13,960 --> 00:49:16,479
Speaker 2: out of the seventeen nominations. We're going to talk about

862
00:49:16,520 --> 00:49:18,879
Speaker 2: that coming up. I am Donna de along with Russ

863
00:49:19,000 --> 00:49:22,960
Speaker 2: Jackson producing the show on seven hundred WLW, Cincinnati.

864
00:49:23,480 --> 00:49:26,279
Speaker 1: This is when he's doing live music. He'll go in.

865
00:49:26,239 --> 00:49:29,719
Speaker 2: And out of key, he'll sound crazy, and it'll be

866
00:49:29,800 --> 00:49:31,520
Speaker 2: the wildest journey.

867
00:49:32,400 --> 00:49:38,880
Speaker 1: But it's the most beautiful. Her kitchen chair, she broke gus.

868
00:49:39,320 --> 00:49:43,400
Speaker 2: Still let him sing it here and from you you do,

869
00:49:45,320 --> 00:49:47,520
Speaker 2: I mean, it's just beautiful.

870
00:49:48,800 --> 00:49:53,680
Speaker 1: You can vote for your favorite right now. Vote dot

871
00:49:53,800 --> 00:50:05,680
Speaker 1: rockcall dot com amazing. So whether you think that they

872
00:50:05,760 --> 00:50:09,239
Speaker 1: need to be rock and roll, you know a lot

873
00:50:09,280 --> 00:50:13,200
Speaker 1: of people don't think someone like Mariah Carey should be

874
00:50:13,800 --> 00:50:15,880
Speaker 1: inducted into the Rock and Roll Hall of Fame.

875
00:50:16,040 --> 00:50:18,759
Speaker 2: She has been around for so long. And even if

876
00:50:18,800 --> 00:50:21,440
Speaker 2: you don't like her poppy R and B, which I

877
00:50:21,560 --> 00:50:25,799
Speaker 2: happen to love, I love Mariah Carey. But you know

878
00:50:25,920 --> 00:50:29,440
Speaker 2: you love that Christmas You know you love that Christmas

879
00:50:29,440 --> 00:50:37,520
Speaker 2: album Mariah Carey's. She is a true talent and I

880
00:50:37,560 --> 00:50:40,920
Speaker 2: can't imagine Mariah Carey. I'm giving you my top seven.

881
00:50:41,560 --> 00:50:45,439
Speaker 2: I can't believe Mariah Carey would not be inducted into

882
00:50:45,440 --> 00:50:48,279
Speaker 2: the Rock and Roll Hall of Fame. Obviously, voting is now,

883
00:50:48,400 --> 00:50:53,120
Speaker 2: you can vote for your favorite.

884
00:50:51,640 --> 00:50:53,560
Speaker 1: But Mariah Carey's been around longer.

885
00:50:53,600 --> 00:50:56,680
Speaker 2: I mean, Vision of Love I think was her first

886
00:50:57,080 --> 00:51:00,759
Speaker 2: single ever and that was and I was.

887
00:51:02,560 --> 00:51:03,520
Speaker 1: I mean I think I.

888
00:51:03,640 --> 00:51:08,560
Speaker 2: Was twenty two when that song came out. This is

889
00:51:08,600 --> 00:51:11,200
Speaker 2: how long ago she has been around, and she's still

890
00:51:11,239 --> 00:51:15,040
Speaker 2: doing hits, hit after hit after hit. Mariah Carey is

891
00:51:15,080 --> 00:51:18,320
Speaker 2: a solid, true talent. She deserves to get into the

892
00:51:18,400 --> 00:51:19,680
Speaker 2: Rock and Roll Hall of Fame.

893
00:51:22,280 --> 00:51:26,120
Speaker 1: I mean, you know it moved from these big rock.

894
00:51:25,880 --> 00:51:29,359
Speaker 2: Bands, although we still have some like Iron Maiden is

895
00:51:29,400 --> 00:51:35,160
Speaker 2: on the list, Joy Division New Order is on the list.

896
00:51:36,600 --> 00:51:38,880
Speaker 1: Wow, I didn't know you were pulling this one up

897
00:51:38,920 --> 00:51:47,399
Speaker 1: for Ross. Okay, good. Should Iron Maiden be inducted into

898
00:51:47,440 --> 00:51:50,000
Speaker 1: the Rock and Roll Hall of Fame, it would be

899
00:51:50,280 --> 00:51:55,959
Speaker 1: a fitting year. Obviously we lost Ozzy Osbourne. It would

900
00:51:56,000 --> 00:51:58,719
Speaker 1: be a fitting year to add Iron Maiden into the

901
00:51:58,800 --> 00:52:02,720
Speaker 1: Rock and Roll Hall of Fame. What a great band

902
00:52:02,800 --> 00:52:04,800
Speaker 1: this was, Holy smokes.

903
00:52:08,600 --> 00:52:13,120
Speaker 2: I mean, you can't you can't beat Ozzy Osbourne and

904
00:52:13,239 --> 00:52:16,799
Speaker 2: I think his daughter if you haven't seen Sharon Osbourne

905
00:52:16,880 --> 00:52:21,200
Speaker 2: and Kelly, they were just at the British Awards.

906
00:52:22,520 --> 00:52:23,640
Speaker 1: They look like they're.

907
00:52:23,440 --> 00:52:28,160
Speaker 2: Having a tough time without Ozzy, and you know, it

908
00:52:28,239 --> 00:52:31,360
Speaker 2: was a beautiful tribute to Ozzy Osbourne. Everybody loved Ozzie.

909
00:52:31,880 --> 00:52:34,279
Speaker 2: I do think he probably will make it in just

910
00:52:34,360 --> 00:52:36,120
Speaker 2: for the sentimentality of it.

911
00:52:36,320 --> 00:52:39,080
Speaker 1: Is that a word? You know?

912
00:52:39,160 --> 00:52:44,680
Speaker 2: What was my other pick Russ is Phil Collins. This

913
00:52:44,880 --> 00:52:46,680
Speaker 2: was one of the greatest songs ever.

914
00:52:46,880 --> 00:52:47,879
Speaker 1: Phil Collins.

915
00:52:47,920 --> 00:52:51,960
Speaker 2: Just another amazing artist you've got so far, You've got

916
00:52:52,000 --> 00:52:56,160
Speaker 2: four of mine Black Crows, Jeff Buckley, Maria Carry, Phil Collins.

917
00:52:59,600 --> 00:53:03,880
Speaker 2: He tired last year and he's, you know, due to

918
00:53:03,960 --> 00:53:08,560
Speaker 2: health concerns. But Phil Collins is one of those artists

919
00:53:08,600 --> 00:53:14,000
Speaker 2: that you kind of forget. How many hits Phil Collins and.

920
00:53:15,760 --> 00:53:16,040
Speaker 3: Russ.

921
00:53:16,080 --> 00:53:19,680
Speaker 2: What was the name of his band, Genesis? Thank you Genesis.

922
00:53:20,560 --> 00:53:24,120
Speaker 2: They've had so many singles, I mean again, hit after

923
00:53:24,239 --> 00:53:26,680
Speaker 2: hit after head. I really think this is a great

924
00:53:26,840 --> 00:53:30,239
Speaker 2: list of nominees for the Rock and Roll Hall of

925
00:53:30,239 --> 00:53:34,360
Speaker 2: Fame this year. I absolutely love this list. On the

926
00:53:34,440 --> 00:53:37,600
Speaker 2: list again and we'll still play Phil Collins. As I

927
00:53:37,640 --> 00:53:40,600
Speaker 2: read a couple of these Russ Melissa Ethridge is on,

928
00:53:40,719 --> 00:53:43,880
Speaker 2: Lauren Hill is on. Billy Idel is on the list

929
00:53:44,000 --> 00:53:47,400
Speaker 2: in excess. That's a big band. Joy Division.

930
00:53:47,520 --> 00:53:49,279
Speaker 1: Maybe you don't know that New Order.

931
00:53:49,400 --> 00:53:52,200
Speaker 2: You might know a little bit more Joy Division and

932
00:53:52,320 --> 00:53:53,840
Speaker 2: New Order is on the list.

933
00:53:55,920 --> 00:53:56,840
Speaker 1: New Edition.

934
00:53:58,320 --> 00:54:02,440
Speaker 2: I actually think New Edition could could make make it.

935
00:54:04,480 --> 00:54:08,200
Speaker 2: We talked about Oasis being on the list too. I mean,

936
00:54:09,000 --> 00:54:15,239
Speaker 2: if you think about who who deserves to be nominated,

937
00:54:15,320 --> 00:54:18,560
Speaker 2: every single one of these artists that I've mentioned. Pink

938
00:54:18,719 --> 00:54:21,479
Speaker 2: is on the list, Shakira is on the list. Luther

939
00:54:21,719 --> 00:54:24,880
Speaker 2: Vandros is not in the Rock and Roll Hall of Fame. Wow,

940
00:54:25,440 --> 00:54:33,240
Speaker 2: he is on the list of nominees. Uh Shardah remember

941
00:54:33,280 --> 00:54:36,680
Speaker 2: this one. This was a great concert. I actually saw

942
00:54:36,840 --> 00:54:41,160
Speaker 2: Sharde live. I can't believe nobody's calling in for this.

943
00:54:41,440 --> 00:54:44,120
Speaker 2: How do you not call in and tell me what.

944
00:54:44,000 --> 00:54:46,600
Speaker 1: Your picks are? Go to the Rock and Roll Hall

945
00:54:46,640 --> 00:54:49,520
Speaker 1: of Fame? How are you not calling in right now?

946
00:54:49,920 --> 00:54:53,920
Speaker 1: This is crazy? Five? One, three, seven, four, nine, the

947
00:54:53,920 --> 00:54:57,799
Speaker 1: Big one? Do you think Shadah? I never say her name, right,

948
00:54:57,840 --> 00:55:02,680
Speaker 1: Shardei Shadah USh? Yes?

949
00:55:04,160 --> 00:55:10,600
Speaker 2: Is it because there's no there's no r in here, Russ,

950
00:55:10,640 --> 00:55:14,680
Speaker 2: It's Sade. That's how you that's how you spell it,

951
00:55:14,760 --> 00:55:17,200
Speaker 2: so the pronunciation shah day.

952
00:55:18,600 --> 00:55:20,680
Speaker 1: Boy. She's great if you've ever seen her.

953
00:55:21,440 --> 00:55:23,919
Speaker 2: All she does is if she walks to one side

954
00:55:23,960 --> 00:55:29,760
Speaker 2: of the stage, people just scream. They go nuts. And finally,

955
00:55:29,880 --> 00:55:34,399
Speaker 2: the final band that I did not mention, Wu Tang

956
00:55:34,440 --> 00:55:38,680
Speaker 2: Clan Wu Tang Clan is Uh is nominated as well.

957
00:55:38,760 --> 00:55:41,759
Speaker 2: Seventeen nominees they generally pick.

958
00:55:41,880 --> 00:55:42,560
Speaker 1: There you go.

959
00:55:43,040 --> 00:55:46,520
Speaker 2: They generally pick seven out of the list to be inducted.

960
00:55:48,360 --> 00:55:50,640
Speaker 2: I mean, and you can vote for your favorite and again,

961
00:55:51,640 --> 00:55:55,400
Speaker 2: do you have to know? You don't have to, but

962
00:55:55,520 --> 00:55:58,120
Speaker 2: it's a nice thing to do because if you a

963
00:55:58,239 --> 00:56:01,600
Speaker 2: music fan like I am, and it's made a difference

964
00:56:01,600 --> 00:56:04,040
Speaker 2: in your life like it does because music is the

965
00:56:04,440 --> 00:56:08,839
Speaker 2: universal language. Vote dot rockcall dot com, go and pick

966
00:56:08,880 --> 00:56:13,000
Speaker 2: your seven and you can vote daily. But it's kind

967
00:56:13,000 --> 00:56:15,640
Speaker 2: of cool to get in the game. The inductees are

968
00:56:15,640 --> 00:56:19,520
Speaker 2: expected to be announced in April, so you've got a

969
00:56:19,520 --> 00:56:22,600
Speaker 2: little bit of time. But voting I think just opened

970
00:56:22,680 --> 00:56:26,120
Speaker 2: up yesterday. Do you think they got the nominees right?

971
00:56:26,440 --> 00:56:28,919
Speaker 2: Who's missing off the list? Who would you vote for?

972
00:56:29,200 --> 00:56:29,359
Speaker 3: Five?

973
00:56:29,600 --> 00:56:31,600
Speaker 1: Three, eight hundred.

974
00:56:31,600 --> 00:56:35,520
Speaker 2: The Big One studies have shown that listening to music

975
00:56:35,560 --> 00:56:40,120
Speaker 2: on a regular basis. It cuts or diminishes your risk

976
00:56:40,640 --> 00:56:42,880
Speaker 2: for dementia by.

977
00:56:42,800 --> 00:56:49,319
Speaker 1: Thirty nine percent. Thirty nine percent. If you're not.

978
00:56:49,400 --> 00:56:52,200
Speaker 2: Somebody that listens to music on a daily basis, I

979
00:56:52,239 --> 00:56:54,800
Speaker 2: don't know what you are doing with your life.

980
00:56:55,840 --> 00:56:59,160
Speaker 1: You have to. I mean, yes, the news is important.

981
00:56:59,480 --> 00:57:04,759
Speaker 2: Podcast are great, radio stations are amazing. All of those

982
00:57:04,760 --> 00:57:08,160
Speaker 2: things are great. But what do you do when you're

983
00:57:08,320 --> 00:57:11,240
Speaker 2: running on the treadmill. You've got to be listening to music.

984
00:57:11,280 --> 00:57:15,640
Speaker 2: What do you do when you're cleaning your house? This

985
00:57:16,280 --> 00:57:19,960
Speaker 2: is a real study that shows that you can diminish

986
00:57:20,040 --> 00:57:23,680
Speaker 2: your risk of dementia by thirty nine percent by listening

987
00:57:23,760 --> 00:57:26,280
Speaker 2: to music on a regular basis. You know, when we

988
00:57:26,400 --> 00:57:30,160
Speaker 2: grow up and we're younger, we always listen to music.

989
00:57:30,360 --> 00:57:35,160
Speaker 1: It is a thing. We went from walkmans to I mean,

990
00:57:35,480 --> 00:57:36,200
Speaker 1: you name it.

991
00:57:36,600 --> 00:57:39,960
Speaker 2: We've been everywhere, discmands, remember the CDs on the disc

992
00:57:40,000 --> 00:57:41,480
Speaker 2: players and.

993
00:57:43,040 --> 00:57:45,919
Speaker 1: I mean those all. We've gone through everything that.

994
00:57:45,840 --> 00:57:48,600
Speaker 2: You can think of in terms of listening to music

995
00:57:48,720 --> 00:57:51,800
Speaker 2: on the road. Now we've got, you know, our iPhones

996
00:57:51,840 --> 00:57:55,000
Speaker 2: to make it easier and easier. And there are couples

997
00:57:55,040 --> 00:57:58,000
Speaker 2: you know that I counsel that I will say listen.

998
00:57:58,360 --> 00:58:01,760
Speaker 2: When was the last time you put on a record,

999
00:58:02,000 --> 00:58:04,760
Speaker 2: put on music and sat and had a glass of

1000
00:58:04,760 --> 00:58:08,560
Speaker 2: wine and talk to each other. It's not always about

1001
00:58:08,560 --> 00:58:13,040
Speaker 2: the TV, is it, or you know, streaming services and

1002
00:58:13,080 --> 00:58:17,000
Speaker 2: things like that, sit and chill and listen to some music,

1003
00:58:17,280 --> 00:58:22,320
Speaker 2: especially new music. And it's never been easier. And with

1004
00:58:22,440 --> 00:58:27,200
Speaker 2: studies showing that, hey it risks, you can. You can

1005
00:58:27,280 --> 00:58:31,600
Speaker 2: literally cut the risk of dementia by thirty nine percent

1006
00:58:31,760 --> 00:58:35,440
Speaker 2: just by listening to music. There's something about it. It's

1007
00:58:35,520 --> 00:58:40,880
Speaker 2: the it's the vibration. It gives us, no side effects,

1008
00:58:40,920 --> 00:58:44,600
Speaker 2: no drug trials, This is just you and your playlist

1009
00:58:45,240 --> 00:58:48,120
Speaker 2: to risk, you know, cut the risk of dementia by

1010
00:58:48,160 --> 00:58:49,560
Speaker 2: thirty nine percent.

1011
00:58:50,480 --> 00:58:52,840
Speaker 1: I do think it is important.

1012
00:58:53,680 --> 00:58:58,000
Speaker 2: As we get older to remember, I mean, yeah, you can,

1013
00:58:59,320 --> 00:59:01,400
Speaker 2: you can put you can put podcasts on.

1014
00:59:01,560 --> 00:59:02,520
Speaker 1: Podcasts are great.

1015
00:59:02,840 --> 00:59:06,600
Speaker 2: I mean again, we were talking about those those short

1016
00:59:06,680 --> 00:59:11,200
Speaker 2: videos on TikTok earlier. Podcasts are a huge thing. If

1017
00:59:11,240 --> 00:59:13,960
Speaker 2: you put on Netflix, you're gonna see podcasts. You're gonna

1018
00:59:13,960 --> 00:59:15,160
Speaker 2: see those short reels.

1019
00:59:17,040 --> 00:59:18,040
Speaker 1: You can listen to.

1020
00:59:21,000 --> 00:59:25,520
Speaker 2: Any any streaming service to listen to some music and

1021
00:59:25,600 --> 00:59:27,600
Speaker 2: listen to a full body of music.

1022
00:59:27,880 --> 00:59:32,120
Speaker 1: Listen to an album, listen to the whole album.

1023
00:59:32,160 --> 00:59:32,400
Speaker 3: Member.

1024
00:59:32,440 --> 00:59:35,080
Speaker 2: We used to put on Pink Floyd Dark Side of

1025
00:59:35,120 --> 00:59:38,280
Speaker 2: the Moon and listen to the whole thing, or you know,

1026
00:59:38,840 --> 00:59:41,840
Speaker 2: back in the day, you would put on you know,

1027
00:59:41,920 --> 00:59:45,760
Speaker 2: Barbara Streisand or Donna Summer or something something like that

1028
00:59:45,760 --> 00:59:47,960
Speaker 2: that you just you just let the record play.

1029
00:59:48,480 --> 00:59:49,440
Speaker 1: I love one of my.

1030
00:59:49,520 --> 00:59:54,080
Speaker 2: Favorite soundtracks, and this was a soundtrack to a movie,

1031
00:59:54,720 --> 00:59:57,640
Speaker 2: Into the Wild is Eddie Vedder's Into the Wild. You

1032
00:59:57,680 --> 01:00:00,880
Speaker 2: listen to that whole thing and you you just, you know,

1033
01:00:01,200 --> 01:00:05,560
Speaker 2: put it in the background and just let it play.

1034
01:00:05,920 --> 01:00:09,760
Speaker 2: So so Rock and Roll Hall of Fame. Usually the

1035
01:00:09,760 --> 01:00:13,800
Speaker 2: nominees are going to be out on in April. Usually

1036
01:00:13,880 --> 01:00:16,680
Speaker 2: the show is sometime in the fall. But you know,

1037
01:00:16,800 --> 01:00:20,240
Speaker 2: pay attention to your musicians. They've been working twenty five

1038
01:00:20,320 --> 01:00:23,560
Speaker 2: years and bringing to the greatest music. It is important

1039
01:00:23,600 --> 01:00:27,000
Speaker 2: to pay attention and give gratitude. That is all I

1040
01:00:27,000 --> 01:00:30,880
Speaker 2: can say about that, because that is really important.

1041
01:00:30,880 --> 01:00:33,880
Speaker 1: Coming up, all right, I love that segment.

1042
01:00:33,960 --> 01:00:39,919
Speaker 2: Nobody called and I'm surprised, I really am, but I

1043
01:00:39,960 --> 01:00:40,360
Speaker 2: loved it.

1044
01:00:40,400 --> 01:00:41,280
Speaker 1: We're going to get.

1045
01:00:41,120 --> 01:00:46,320
Speaker 2: Into relationships with your pets. What are the benefits of

1046
01:00:46,480 --> 01:00:48,960
Speaker 2: having a dog. You might be surprised as some of

1047
01:00:49,000 --> 01:00:51,000
Speaker 2: the benefits you weren't even aware of.

1048
01:00:51,920 --> 01:00:55,680
Speaker 1: Obviously, it is daylight savings.

1049
01:00:55,720 --> 01:00:58,520
Speaker 2: We spring forward, So we're going to lose an hour

1050
01:00:58,600 --> 01:01:03,080
Speaker 2: of sleep tonight. Hopefully my dog won't have that inner

1051
01:01:03,120 --> 01:01:07,400
Speaker 2: clock and wake up when the sun comes out and

1052
01:01:08,600 --> 01:01:11,200
Speaker 2: he'll be able to sleep a little bit longer with me.

1053
01:01:11,240 --> 01:01:14,080
Speaker 1: Tomorrow, we'll see. I guess well that'll be a practice.

1054
01:01:14,120 --> 01:01:18,160
Speaker 2: But we're gonna talk about dogs coming up and how

1055
01:01:18,480 --> 01:01:21,800
Speaker 2: important they are to our well being. It's all about

1056
01:01:21,840 --> 01:01:26,600
Speaker 2: health and happiness. Tonight, it's Donna d Russ Jackson producing Russ.

1057
01:01:26,640 --> 01:01:28,920
Speaker 2: You did a great job. Thank you so much for

1058
01:01:28,960 --> 01:01:33,240
Speaker 2: adding so much color and music on that segment. I

1059
01:01:33,280 --> 01:01:35,919
Speaker 2: loved it. You had our back on that one. Thank

1060
01:01:35,960 --> 01:01:38,360
Speaker 2: you so much. We're going to be back after news,

1061
01:01:38,480 --> 01:01:45,880
Speaker 2: weather and Traffic. It's Donna d Saturday Night, seven hundred WLW, Cincinnati. Yeah,

1062
01:01:45,920 --> 01:01:49,120
Speaker 2: we're talking about the Rock Hall nominees.

1063
01:01:51,000 --> 01:01:52,200
Speaker 1: Who should get in.

1064
01:01:52,720 --> 01:01:55,360
Speaker 2: I was talking about my favorites of Black Crows I

1065
01:01:55,360 --> 01:01:58,280
Speaker 2: think are going to get in. Jeff Buckley deserves to

1066
01:01:58,320 --> 01:02:00,640
Speaker 2: be inducted into the Rock and Roll Hall of Fame,

1067
01:02:00,720 --> 01:02:03,720
Speaker 2: Mariah Carey just to name a few. Let's get to

1068
01:02:03,800 --> 01:02:06,760
Speaker 2: Hyde Park with Sophie. Sophie, who do you think should

1069
01:02:06,760 --> 01:02:08,320
Speaker 2: be in the Rock Hall of Fame this year?

1070
01:02:09,560 --> 01:02:13,560
Speaker 7: Hey, Donna, a great show. Thank you love that you're

1071
01:02:13,600 --> 01:02:14,400
Speaker 7: talking about this.

1072
01:02:14,680 --> 01:02:15,720
Speaker 1: Yes, I do too.

1073
01:02:15,840 --> 01:02:19,800
Speaker 2: I'm surprised nobody else, uh cald In, but I'm happy

1074
01:02:19,840 --> 01:02:20,200
Speaker 2: you're here.

1075
01:02:20,560 --> 01:02:23,120
Speaker 1: So who do you think, Sophie?

1076
01:02:23,560 --> 01:02:27,760
Speaker 7: I am all about. Oh I love it. I didn't

1077
01:02:27,760 --> 01:02:30,040
Speaker 7: even know that she was on the list. I'm so

1078
01:02:30,280 --> 01:02:31,280
Speaker 7: happy about.

1079
01:02:30,960 --> 01:02:35,560
Speaker 1: That she's been around love. Yes, God, what else? There

1080
01:02:35,640 --> 01:02:37,840
Speaker 1: were so many hits that she has had.

1081
01:02:39,680 --> 01:02:43,120
Speaker 2: This is uh, this is a smooth operator. What a

1082
01:02:43,160 --> 01:02:46,320
Speaker 2: great song this was? I mean, you know this is

1083
01:02:46,360 --> 01:02:48,000
Speaker 2: no ordinary love you mentioned that.

1084
01:02:48,720 --> 01:02:52,720
Speaker 1: I do think Sweet is Taboo is a good one.

1085
01:02:53,760 --> 01:02:58,360
Speaker 1: Oh my gosh, keep going. That is awesome. She does.

1086
01:02:58,440 --> 01:03:02,000
Speaker 2: She has some uh some other hits, but man, she

1087
01:03:02,280 --> 01:03:04,760
Speaker 2: just has a solid voice. So what do you think

1088
01:03:04,800 --> 01:03:07,480
Speaker 2: of the other nominees, Sophie, what do you think?

1089
01:03:08,400 --> 01:03:10,560
Speaker 7: Well, I'm more of an R and B person.

1090
01:03:10,840 --> 01:03:12,560
Speaker 1: So are you ruining from Maria?

1091
01:03:13,720 --> 01:03:16,760
Speaker 7: Well? I love Mariah Carey, of course, but I just

1092
01:03:16,800 --> 01:03:21,240
Speaker 7: am not used to like them choosing other people other

1093
01:03:21,320 --> 01:03:25,240
Speaker 7: than rock and Rollers, which they picked Dolly, which she

1094
01:03:25,480 --> 01:03:26,120
Speaker 7: turned down.

1095
01:03:26,240 --> 01:03:28,440
Speaker 6: What was that last year before?

1096
01:03:28,560 --> 01:03:30,800
Speaker 1: Yeah, yeah, sherobably kind of.

1097
01:03:30,720 --> 01:03:33,040
Speaker 7: A bummer, but because she didn't think she was a

1098
01:03:33,120 --> 01:03:35,880
Speaker 7: rock and roller. But they're opening it up to different

1099
01:03:35,920 --> 01:03:38,520
Speaker 7: types of artists, which I think is really cool. I

1100
01:03:38,520 --> 01:03:41,880
Speaker 7: mean Ozzy Osbourne. Okay, but that's not really my jam.

1101
01:03:42,200 --> 01:03:47,200
Speaker 2: Okay, Luther Vandro he's on the list. Oh here Luther Vandros.

1102
01:03:47,360 --> 01:03:52,200
Speaker 2: New addition. New addition is ah my god, yeah, Lauren Hill,

1103
01:03:52,440 --> 01:03:54,560
Speaker 2: are you talking about R and B? They got quite

1104
01:03:54,560 --> 01:03:56,280
Speaker 2: a few R and B artists.

1105
01:03:57,040 --> 01:03:59,520
Speaker 7: Okay, I didn't know this. I need to go look

1106
01:03:59,560 --> 01:04:02,360
Speaker 7: it up. I had no idea. I just got in

1107
01:04:02,440 --> 01:04:05,120
Speaker 7: from a night out and I was like, it turned

1108
01:04:05,160 --> 01:04:07,280
Speaker 7: you on, and I'm like, oh, I need to pay

1109
01:04:07,320 --> 01:04:09,000
Speaker 7: attention to this. I had no idea.

1110
01:04:09,120 --> 01:04:11,760
Speaker 1: Well, listen, I appreciate it. I appreciate the call.

1111
01:04:11,840 --> 01:04:14,840
Speaker 2: Thank you so much for calling in, Sophie, and I

1112
01:04:14,880 --> 01:04:17,520
Speaker 2: agree with you. I think Shatache should make it as well.

1113
01:04:17,680 --> 01:04:18,040
Speaker 1: Thank you.

1114
01:04:20,200 --> 01:04:22,280
Speaker 2: All Right, we got to go because we got news,

1115
01:04:22,840 --> 01:04:24,160
Speaker 2: weather and traffic coming up.

1116
01:04:24,200 --> 01:04:28,080
Speaker 1: I'll be back. How many steps do dog walk owners

1117
01:04:28,120 --> 01:04:29,840
Speaker 1: get in with minus?

1118
01:04:30,440 --> 01:04:32,440
Speaker 2: Well, we'll talk about that coming up. It's don a

1119
01:04:32,520 --> 01:04:35,520
Speaker 2: D seven hundred WLW Cincinnati.

1120
01:04:37,360 --> 01:04:39,200
Speaker 1: Should go What's Up?

1121
01:04:41,800 --> 01:04:44,960
Speaker 7: Absolutely everybody should have one or more dogs.

1122
01:04:45,280 --> 01:04:48,880
Speaker 2: And we were talking about earlier on in the show,

1123
01:04:48,960 --> 01:04:53,120
Speaker 2: these humanoid robots. If people are lonely, how about getting

1124
01:04:53,160 --> 01:04:56,120
Speaker 2: a dog, I mean, if you are lonely, or a

1125
01:04:56,120 --> 01:04:59,280
Speaker 2: pet or a cat or something, how about getting one

1126
01:04:59,280 --> 01:05:02,920
Speaker 2: of those because I'm telling you, they are woman's best friend,

1127
01:05:03,320 --> 01:05:07,160
Speaker 2: man's best friend, and woman's best friend. Sonia, thank you,

1128
01:05:07,560 --> 01:05:10,320
Speaker 2: thank you so much for the call. I really appreciate it.

1129
01:05:11,200 --> 01:05:12,200
Speaker 6: Thanks for taking my call.

1130
01:05:12,320 --> 01:05:13,800
Speaker 1: Thank you you too.

1131
01:05:14,360 --> 01:05:17,160
Speaker 2: Okay, so yeah, we got to give it up to

1132
01:05:17,240 --> 01:05:21,800
Speaker 2: our furry friends because they just make life a lot better.

1133
01:05:23,200 --> 01:05:26,920
Speaker 2: The fact that Sonia just realized that, yes, they do

1134
01:05:27,000 --> 01:05:27,400
Speaker 2: make it.

1135
01:05:27,760 --> 01:05:28,440
Speaker 1: Pets make it.

1136
01:05:28,640 --> 01:05:32,360
Speaker 2: Especially dogs tend to have tend to make your life

1137
01:05:32,480 --> 01:05:35,800
Speaker 2: a lot healthier because they lower blood pressure.

1138
01:05:35,880 --> 01:05:39,040
Speaker 1: They reduce the risk of cardiovascular.

1139
01:05:38,120 --> 01:05:41,400
Speaker 2: Disease disease, as we just mentioned, as the night gets on,

1140
01:05:41,600 --> 01:05:44,320
Speaker 2: I get a little bit more tired and lowers the

1141
01:05:44,400 --> 01:05:47,880
Speaker 2: risk of death after heart attack or stroke. The benefits

1142
01:05:48,000 --> 01:05:51,200
Speaker 2: are so striking in terms of heart health that the

1143
01:05:51,240 --> 01:05:56,360
Speaker 2: American Heart Association declares dog ownership might be the reason

1144
01:05:56,440 --> 01:06:01,280
Speaker 2: for reduction in cardiovascular disease risk how exciting is that

1145
01:06:01,440 --> 01:06:04,720
Speaker 2: now I have had dogs my entire life, and the

1146
01:06:04,840 --> 01:06:08,400
Speaker 2: last one, my dog recently, well a year and a

1147
01:06:08,440 --> 01:06:12,360
Speaker 2: half ago, passed away. So I decided, okay, it's time

1148
01:06:12,360 --> 01:06:14,520
Speaker 2: for me to get a foster. So I've fostered three

1149
01:06:14,600 --> 01:06:20,360
Speaker 2: from Cincinnati Animal Care and this one has been with

1150
01:06:20,440 --> 01:06:24,040
Speaker 2: me for five months. He is probably just turning a

1151
01:06:24,120 --> 01:06:27,320
Speaker 2: year now, very close to being a here and he

1152
01:06:27,800 --> 01:06:33,240
Speaker 2: wears out at the end of the day. I hit

1153
01:06:33,280 --> 01:06:37,040
Speaker 2: the pillow and my eyes are burning and I will

1154
01:06:37,080 --> 01:06:41,920
Speaker 2: fall asleep. Because dog owners, they know this. They walk

1155
01:06:42,080 --> 01:06:48,040
Speaker 2: an extra million steps in a year, million one million

1156
01:06:48,600 --> 01:06:50,960
Speaker 2: steps in a year, and they live longer because of it.

1157
01:06:52,040 --> 01:06:54,240
Speaker 2: And I know there listen. There are a lot of

1158
01:06:54,280 --> 01:06:57,520
Speaker 2: ways to exercise, and I think anything that you choose

1159
01:06:57,560 --> 01:06:59,720
Speaker 2: to do to work out and keep your body strong

1160
01:07:00,720 --> 01:07:03,400
Speaker 2: in exercise form, I don't care if it's cardio, I

1161
01:07:03,400 --> 01:07:05,320
Speaker 2: don't care if it's biking. I don't care if it's

1162
01:07:05,400 --> 01:07:09,920
Speaker 2: running or you know, exercise weights. I don't care what

1163
01:07:09,960 --> 01:07:13,360
Speaker 2: it is, as long as you're doing something. But walking

1164
01:07:13,480 --> 01:07:17,240
Speaker 2: can be very underrated by a lot of people. Walking

1165
01:07:17,400 --> 01:07:20,600
Speaker 2: is one of the greatest exercises you can do, and

1166
01:07:20,720 --> 01:07:23,920
Speaker 2: dog owners understand this because they have the ah man,

1167
01:07:24,040 --> 01:07:28,600
Speaker 2: I am beat factor. But you know your dog needs

1168
01:07:28,600 --> 01:07:32,320
Speaker 2: the exercise, So you get your sneakers on and you

1169
01:07:32,360 --> 01:07:33,600
Speaker 2: get out there and walking.

1170
01:07:33,680 --> 01:07:34,800
Speaker 1: You're better for it.

1171
01:07:36,000 --> 01:07:38,520
Speaker 2: And there's never a time that you don't feel good

1172
01:07:38,640 --> 01:07:43,640
Speaker 2: about walking your dog ever. So overall, there are published

1173
01:07:43,640 --> 01:07:46,720
Speaker 2: reviews that dog owners have a twenty four percent lower

1174
01:07:46,840 --> 01:07:51,320
Speaker 2: risk of all cause mortality and a significantly lower risk

1175
01:07:51,680 --> 01:07:55,560
Speaker 2: in cardiovascular disease. We just talked about that, So dogs

1176
01:07:55,560 --> 01:07:57,440
Speaker 2: are pretty good for your heart. And it's not just

1177
01:07:57,520 --> 01:08:02,320
Speaker 2: the dog. It's the movement, it's the sunlight, it's the routine.

1178
01:08:02,560 --> 01:08:06,600
Speaker 2: It's the emotional regulation that comes with the responsibility and

1179
01:08:06,680 --> 01:08:12,360
Speaker 2: companionship of having a dog. It's getting off social media

1180
01:08:12,440 --> 01:08:16,720
Speaker 2: for an hour. It's the social component of meeting a

1181
01:08:16,800 --> 01:08:21,040
Speaker 2: friend to walk our dogs, or meeting strangers on the

1182
01:08:21,080 --> 01:08:24,080
Speaker 2: street that feel more comfortable saying hi to your dog

1183
01:08:24,120 --> 01:08:24,640
Speaker 2: than you do.

1184
01:08:25,160 --> 01:08:27,439
Speaker 1: When you have a dog. It's easier for people to

1185
01:08:27,439 --> 01:08:28,720
Speaker 1: come up to you and say hi.

1186
01:08:31,320 --> 01:08:36,040
Speaker 2: And it's not just the social thing, because dog owners

1187
01:08:36,080 --> 01:08:38,920
Speaker 2: become very social. They get out, they walk, they meet people.

1188
01:08:39,120 --> 01:08:41,320
Speaker 2: That's how they do it. They'll bring their dog to

1189
01:08:41,400 --> 01:08:43,960
Speaker 2: the coffee shop and somebody will always come and say hi.

1190
01:08:44,040 --> 01:08:46,400
Speaker 2: Someone will get them a pop cup, someone will get

1191
01:08:46,439 --> 01:08:50,120
Speaker 2: them some water. But it's also the unconditional love that

1192
01:08:50,200 --> 01:08:54,400
Speaker 2: dogs give. It's also the security when you're home and

1193
01:08:54,439 --> 01:08:56,800
Speaker 2: it's two am and your dog jumps up to make

1194
01:08:56,840 --> 01:09:02,200
Speaker 2: sure the house is secure. Yes, they can be challenging,

1195
01:09:02,360 --> 01:09:05,880
Speaker 2: especially when it's raining in Cincinnati for five days and

1196
01:09:05,920 --> 01:09:10,800
Speaker 2: you have a backyard that is now a lake and

1197
01:09:11,080 --> 01:09:13,639
Speaker 2: all they wanted to do is go play with their ball.

1198
01:09:13,760 --> 01:09:18,599
Speaker 2: It's the muddy pause. Yes, on a white couch. It's ken.

1199
01:09:18,960 --> 01:09:22,360
Speaker 2: It's yes. They wake you up early to get you

1200
01:09:22,439 --> 01:09:26,360
Speaker 2: out or to feed them or whatever. I have to

1201
01:09:26,400 --> 01:09:29,240
Speaker 2: tell you this cute story. So my foster dog, this

1202
01:09:29,920 --> 01:09:32,040
Speaker 2: is the one that I have. His name is Gus.

1203
01:09:32,479 --> 01:09:35,720
Speaker 2: I call him Gussie. And when he came when I

1204
01:09:35,800 --> 01:09:38,800
Speaker 2: first got him, and I have a doggy door in

1205
01:09:38,840 --> 01:09:42,200
Speaker 2: my house from my previous dog, which she loved. But

1206
01:09:42,280 --> 01:09:47,080
Speaker 2: when he first got here, I think it was the

1207
01:09:47,200 --> 01:09:51,240
Speaker 2: second or third night, he kept running. I let him

1208
01:09:51,280 --> 01:09:53,160
Speaker 2: sleep on the bed with me. He kept running off

1209
01:09:53,200 --> 01:09:55,599
Speaker 2: the bed and going outside. I heard the doggy door

1210
01:09:55,960 --> 01:09:59,679
Speaker 2: whip open. He would run out and then he would

1211
01:09:59,680 --> 01:10:02,360
Speaker 2: come back through the doggy door and jump up on

1212
01:10:02,400 --> 01:10:06,519
Speaker 2: the bed. And then maybe ten minutes later he do

1213
01:10:06,600 --> 01:10:09,080
Speaker 2: the same thing. And it was all night and I'm thinking,

1214
01:10:09,120 --> 01:10:11,760
Speaker 2: oh my goodness, what is this gut what is going

1215
01:10:11,800 --> 01:10:15,080
Speaker 2: on with this dog? He's so young. Maybe he had

1216
01:10:15,840 --> 01:10:19,640
Speaker 2: a bladder infection. Oh and he had just gotten he

1217
01:10:19,720 --> 01:10:23,320
Speaker 2: had just gotten a neutered, and I thought, oh, man,

1218
01:10:23,960 --> 01:10:26,080
Speaker 2: I think he's probably got a bladder infection.

1219
01:10:26,240 --> 01:10:29,840
Speaker 1: So I put all this stuff into chatchept. Is this

1220
01:10:29,920 --> 01:10:31,120
Speaker 1: dog of a bladder infection?

1221
01:10:31,200 --> 01:10:31,680
Speaker 3: What it is?

1222
01:10:31,960 --> 01:10:35,840
Speaker 2: Chatchept came back and said, it's I don't think. It

1223
01:10:35,880 --> 01:10:38,400
Speaker 2: doesn't sound like he has a bladder infection. What it

1224
01:10:38,600 --> 01:10:43,960
Speaker 2: sounds like is he's patrolling the house that he feels

1225
01:10:43,960 --> 01:10:47,760
Speaker 2: like he's on duty and he's patrolling the house and

1226
01:10:48,000 --> 01:10:50,759
Speaker 2: he and he wants to make.

1227
01:10:50,640 --> 01:10:54,599
Speaker 1: Sure that this house is safe. So the advice from

1228
01:10:54,720 --> 01:11:00,519
Speaker 1: chat gpt was block off the doggy door so he's

1229
01:11:00,560 --> 01:11:04,800
Speaker 1: not running, and then and then tell him he's off

1230
01:11:04,920 --> 01:11:07,840
Speaker 1: duty and it's time to rest. And if that doesn't

1231
01:11:07,880 --> 01:11:12,800
Speaker 1: work in a day, then then you can, you know,

1232
01:11:13,360 --> 01:11:15,240
Speaker 1: take him to the vet or do what I need

1233
01:11:15,280 --> 01:11:18,800
Speaker 1: to do or what have you. So I literally did that.

1234
01:11:19,360 --> 01:11:22,840
Speaker 2: I blocked off the door, the doggy door, so he

1235
01:11:22,840 --> 01:11:24,720
Speaker 2: couldn't get out at night. I told him it was

1236
01:11:24,720 --> 01:11:27,800
Speaker 2: time to rest, and that was exactly what it was.

1237
01:11:29,479 --> 01:11:32,640
Speaker 2: He was trying to patrol the house to keep And

1238
01:11:32,680 --> 01:11:34,760
Speaker 2: this was on like day three or four that I.

1239
01:11:34,760 --> 01:11:36,360
Speaker 1: Had had him.

1240
01:11:36,680 --> 01:11:41,000
Speaker 2: And now he's a very big watchdog, very big security.

1241
01:11:41,080 --> 01:11:42,120
Speaker 1: So it is.

1242
01:11:42,360 --> 01:11:46,799
Speaker 2: It's it's literally the joy of the joy of having

1243
01:11:46,800 --> 01:11:50,040
Speaker 2: a dog, the unconditional love. I mean, dogs fell backwards

1244
01:11:50,040 --> 01:11:55,080
Speaker 2: as god. I mean, they are unconditional love magnets. They

1245
01:11:55,080 --> 01:11:57,400
Speaker 2: are the cutest things ever. I was even on a

1246
01:11:57,439 --> 01:12:01,400
Speaker 2: phone call last night with a friend of mine and

1247
01:12:01,920 --> 01:12:04,240
Speaker 2: he reminded me to take a deep breath. I was

1248
01:12:04,360 --> 01:12:06,360
Speaker 2: real tired, and he said, take a deep breath and

1249
01:12:06,400 --> 01:12:08,920
Speaker 2: gets my oxygen. And I love being reminded of that,

1250
01:12:09,720 --> 01:12:11,479
Speaker 2: and so I did. I took a deep breath and

1251
01:12:11,520 --> 01:12:13,920
Speaker 2: I let out a big exhale a.

1252
01:12:15,840 --> 01:12:16,280
Speaker 1: Uh.

1253
01:12:16,400 --> 01:12:20,360
Speaker 2: And then my dog, wet Gus, who was next to me,

1254
01:12:21,439 --> 01:12:25,120
Speaker 2: laid down let a big exhale out as well. It

1255
01:12:25,200 --> 01:12:28,080
Speaker 2: was the cutest thing. This dog makes me laugh so

1256
01:12:28,439 --> 01:12:31,599
Speaker 2: hard a thousand times a day. If you pay attention

1257
01:12:31,720 --> 01:12:35,000
Speaker 2: to them, they're the cutest things on the planet. Let's

1258
01:12:35,000 --> 01:12:38,400
Speaker 2: go to Dia in Glendale. I see her calling Hi, Dia,

1259
01:12:38,520 --> 01:12:40,599
Speaker 2: how are you, Hi, Donna.

1260
01:12:40,760 --> 01:12:42,880
Speaker 6: I'm great, I'm doing really well. We went and saw

1261
01:12:42,880 --> 01:12:44,479
Speaker 6: a movie tonight was really good.

1262
01:12:44,600 --> 01:12:46,439
Speaker 1: What was it?

1263
01:12:46,439 --> 01:12:49,120
Speaker 6: It was called Crime one oh one.

1264
01:12:49,640 --> 01:12:52,400
Speaker 1: It was in the theater. Uh huh.

1265
01:12:52,479 --> 01:12:57,960
Speaker 6: Chris Hemsworth actor. Yeah, Hallie Barry was in it. She

1266
01:12:58,160 --> 01:13:00,960
Speaker 6: was another lead in that movie. And we sat right

1267
01:13:01,000 --> 01:13:04,400
Speaker 6: next to George Foster. It was funny when I walked

1268
01:13:04,400 --> 01:13:07,160
Speaker 6: in because you know, George took up tennis okay after

1269
01:13:07,200 --> 01:13:10,479
Speaker 6: his baseball career, and he's over at the club quite

1270
01:13:10,479 --> 01:13:11,120
Speaker 6: a bit, so.

1271
01:13:11,120 --> 01:13:13,920
Speaker 1: It was fun to awesome with him. He was with

1272
01:13:14,000 --> 01:13:16,840
Speaker 1: his daughter. Well, I'll have to check out that movie.

1273
01:13:17,080 --> 01:13:18,719
Speaker 1: Do you have a comment on dogs?

1274
01:13:18,800 --> 01:13:21,240
Speaker 2: I know you love dogs because you and I are

1275
01:13:21,280 --> 01:13:23,759
Speaker 2: friends and you are also a dog trainer.

1276
01:13:25,760 --> 01:13:29,040
Speaker 6: Yes, I did that for a while and I respect

1277
01:13:29,080 --> 01:13:32,080
Speaker 6: dogs and I think uh that that dogs can be

1278
01:13:32,960 --> 01:13:36,280
Speaker 6: the first thing is just increasing your own physical activity

1279
01:13:36,640 --> 01:13:39,600
Speaker 6: is so important on regular walks with your pet, with

1280
01:13:39,680 --> 01:13:43,240
Speaker 6: your dog, which can improve your health overall. You can

1281
01:13:43,320 --> 01:13:48,879
Speaker 6: lower your blood pressure. What else? Dogs can also provide

1282
01:13:49,080 --> 01:13:52,080
Speaker 6: really great companionship you if you don't you know, if

1283
01:13:52,120 --> 01:13:56,600
Speaker 6: you live by yourself. I think that's a very important

1284
01:13:56,760 --> 01:14:00,080
Speaker 6: part of owning a dog. And they also can and

1285
01:14:00,280 --> 01:14:05,200
Speaker 6: structure routine and you know, for the most part, they

1286
01:14:05,240 --> 01:14:07,559
Speaker 6: can be a good part of security for your home.

1287
01:14:07,880 --> 01:14:10,679
Speaker 1: Absolutely, and dogs like service dogs too.

1288
01:14:11,800 --> 01:14:16,639
Speaker 2: I watched this video of an ex marine who had

1289
01:14:16,800 --> 01:14:21,160
Speaker 2: PTSD and he had a German Shepherd, and the German

1290
01:14:21,200 --> 01:14:24,800
Speaker 2: shepherd knew before he was going to go into a

1291
01:14:24,840 --> 01:14:28,360
Speaker 2: panic attack. He felt it coming on, so he jumped

1292
01:14:28,400 --> 01:14:31,639
Speaker 2: on on the marine and and hugged him in real

1293
01:14:31,760 --> 01:14:35,240
Speaker 2: and and alerted him that he was getting ready to

1294
01:14:35,240 --> 01:14:39,320
Speaker 2: have a panic attack. And it was amazing. I mean,

1295
01:14:39,600 --> 01:14:42,600
Speaker 2: you know, these these dogs are also law enforcement. I

1296
01:14:42,600 --> 01:14:46,360
Speaker 2: mean they do so many amazing things. Dogs can be

1297
01:14:46,520 --> 01:14:53,639
Speaker 2: trained to really be able to do amazing things. They're

1298
01:14:53,680 --> 01:14:57,200
Speaker 2: so smart. What do you think DIA as a dog

1299
01:14:57,280 --> 01:15:00,240
Speaker 2: trainer would be the if you could give some any

1300
01:15:00,800 --> 01:15:04,599
Speaker 2: really good advice. I know you use those collars, but

1301
01:15:04,600 --> 01:15:07,479
Speaker 2: but what is it one of your pet peeves I

1302
01:15:07,520 --> 01:15:08,640
Speaker 2: remember you telling.

1303
01:15:08,400 --> 01:15:11,400
Speaker 1: Me, is just it is being pulled by the dog

1304
01:15:11,520 --> 01:15:12,799
Speaker 1: like the variety.

1305
01:15:12,960 --> 01:15:15,920
Speaker 6: Yeah, I mean, you know, dogs in general, especially medium

1306
01:15:15,960 --> 01:15:18,920
Speaker 6: the large dogs. You know, they're animals and they have

1307
01:15:19,000 --> 01:15:23,120
Speaker 6: big teeth, so you can you know, trust them only

1308
01:15:23,160 --> 01:15:25,840
Speaker 6: to a certain degree. But if they're out in a

1309
01:15:25,880 --> 01:15:30,000
Speaker 6: strange environment and you know, some kids can come up

1310
01:15:30,040 --> 01:15:32,920
Speaker 6: to a dog and just automatically start petting them without

1311
01:15:33,000 --> 01:15:36,200
Speaker 6: really knowing kind of the rules of which is really

1312
01:15:36,360 --> 01:15:38,639
Speaker 6: putting the palm of your hand in front of their

1313
01:15:38,680 --> 01:15:42,280
Speaker 6: nose about six inches to let them smell you, without

1314
01:15:42,600 --> 01:15:44,800
Speaker 6: you know, addressing like the top of their head or

1315
01:15:45,000 --> 01:15:48,320
Speaker 6: petting them until they get a sense of you. That's

1316
01:15:48,320 --> 01:15:53,000
Speaker 6: probably the first safety rule. But to train your dog

1317
01:15:53,080 --> 01:15:55,519
Speaker 6: at least to a degree where you feel like you

1318
01:15:55,560 --> 01:15:57,760
Speaker 6: can take them for a walk without them pulling you,

1319
01:15:59,120 --> 01:16:03,880
Speaker 6: because they you should be the alpha. They should sense

1320
01:16:03,920 --> 01:16:07,679
Speaker 6: that you're in control. And the second you don't correct

1321
01:16:07,680 --> 01:16:11,840
Speaker 6: that or you don't set those guidelines or rules at home,

1322
01:16:12,240 --> 01:16:15,000
Speaker 6: like just simply coming into your home and if you

1323
01:16:15,120 --> 01:16:17,559
Speaker 6: need to take care of a few things before you

1324
01:16:17,600 --> 01:16:20,200
Speaker 6: address the dog, they'll pick up on that right away.

1325
01:16:20,920 --> 01:16:23,400
Speaker 6: And that means, okay, I've got to wait, I've got

1326
01:16:23,439 --> 01:16:26,840
Speaker 6: to be patient. So you'll you'll you'll find the hierarchy,

1327
01:16:27,320 --> 01:16:30,080
Speaker 6: the the you know, the level of you know what

1328
01:16:30,720 --> 01:16:33,160
Speaker 6: you need to do to set that tone with your pet.

1329
01:16:33,840 --> 01:16:36,880
Speaker 6: But just and most importantly, is to get a little

1330
01:16:36,920 --> 01:16:39,000
Speaker 6: bit of training, depending what kind of dog you have,

1331
01:16:39,560 --> 01:16:43,360
Speaker 6: so that you can have them on command under certain

1332
01:16:43,360 --> 01:16:46,720
Speaker 6: circumstances that you would need to have control over them.

1333
01:16:47,160 --> 01:16:49,799
Speaker 2: Well, you know, I love that you brought up because

1334
01:16:50,160 --> 01:16:52,639
Speaker 2: one thing that you told me that I do now

1335
01:16:52,720 --> 01:16:55,640
Speaker 2: all the time is when I come home, especially like

1336
01:16:56,640 --> 01:16:58,679
Speaker 2: you know, if you have groceries or you have bags

1337
01:16:58,680 --> 01:17:01,680
Speaker 2: in your hand, you don't run to the dog and

1338
01:17:01,680 --> 01:17:03,880
Speaker 2: and let him out or or do whatever. You do

1339
01:17:03,960 --> 01:17:07,800
Speaker 2: what you need to do first, and then they automatically

1340
01:17:07,840 --> 01:17:11,080
Speaker 2: pick up like, hey, I'm getting what I need to

1341
01:17:11,120 --> 01:17:13,840
Speaker 2: get done, and then I'm going to take care of you.

1342
01:17:14,000 --> 01:17:17,599
Speaker 2: And that's the law of order. That's that's that's how,

1343
01:17:18,320 --> 01:17:20,360
Speaker 2: that's how it should be. And I've never forgotten that,

1344
01:17:20,400 --> 01:17:23,040
Speaker 2: and I really pay attention to doing that. I also

1345
01:17:23,160 --> 01:17:26,840
Speaker 2: don't let him pull me either, and he's gotten very

1346
01:17:26,880 --> 01:17:30,559
Speaker 2: good at at at walking just a few steps ahead.

1347
01:17:30,640 --> 01:17:35,080
Speaker 2: And then there's always like some leash, some line in

1348
01:17:35,120 --> 01:17:39,479
Speaker 2: the leash that's not being tugged. When when I take

1349
01:17:39,520 --> 01:17:41,400
Speaker 2: them to new places, that's a little bit of a

1350
01:17:41,439 --> 01:17:44,000
Speaker 2: different story, Dia. We are out of time, we're up

1351
01:17:44,000 --> 01:17:46,280
Speaker 2: against the Well, thank you so much for calling in.

1352
01:17:46,800 --> 01:17:49,120
Speaker 2: I do want to do more about dogs and training

1353
01:17:49,160 --> 01:17:55,120
Speaker 2: and okay and best tips. Thanks for us best tips.

1354
01:17:55,640 --> 01:17:58,040
Speaker 2: We'll do that at another time. Thank you so much

1355
01:17:58,080 --> 01:18:03,000
Speaker 2: for calling in. Appreciate than you my friend talk to Okay.

1356
01:18:03,960 --> 01:18:06,759
Speaker 2: So yeah, we've got one more break coming back again.

1357
01:18:06,840 --> 01:18:10,879
Speaker 2: Don't forget the time changes. We spring forward. So although

1358
01:18:10,880 --> 01:18:13,640
Speaker 2: we lose an hour of sleep tonight, we're going to

1359
01:18:13,720 --> 01:18:16,080
Speaker 2: wake up and it's going to be so sunny, hopefully

1360
01:18:16,120 --> 01:18:18,559
Speaker 2: tomorrow and certainly on Monday, it's going to be very,

1361
01:18:18,640 --> 01:18:21,200
Speaker 2: very sunny and feel like summer out on Monday.

1362
01:18:21,760 --> 01:18:23,240
Speaker 1: We'll be back. It's done a D.

1363
01:18:23,520 --> 01:18:26,640
Speaker 2: Russ Jackson producing the show. He is killing it with

1364
01:18:26,680 --> 01:18:29,080
Speaker 2: me tonight. Thank you so much, everybody. It's done a

1365
01:18:29,120 --> 01:18:32,679
Speaker 2: D seven hundred at WLW Cincinnati.

1366
01:18:37,240 --> 01:18:38,559
Speaker 1: Jackson producing the show.

1367
01:18:38,600 --> 01:18:41,720
Speaker 2: Brady Hopkins with news, and I think we might be

1368
01:18:41,880 --> 01:18:42,439
Speaker 2: done with this.

1369
01:18:42,600 --> 01:18:44,519
Speaker 1: Rain for at least a few days.

1370
01:18:45,040 --> 01:18:47,960
Speaker 2: It looks like Sunday and Monday, it's going to be beautiful

1371
01:18:47,920 --> 01:18:51,280
Speaker 2: in the Tri State, sunny, sixty one tomorrow, seventy and

1372
01:18:51,439 --> 01:18:56,000
Speaker 2: sunny on Monday. The clock springs forward at two am,

1373
01:18:56,080 --> 01:18:58,040
Speaker 2: so we are going to lose an hour's sleep and

1374
01:18:58,040 --> 01:19:00,920
Speaker 2: that's okay, because we gain a lot more sunlight in

1375
01:19:01,000 --> 01:19:04,080
Speaker 2: our day, which is a good thing. And tonight we're

1376
01:19:04,080 --> 01:19:07,680
Speaker 2: gonna discuss the relationship with our brain and how to

1377
01:19:07,760 --> 01:19:10,400
Speaker 2: keep your brain healthy. Obviously sleep is a big part

1378
01:19:10,439 --> 01:19:11,599
Speaker 2: of that, but that's coming up.

1379
01:19:11,960 --> 01:19:15,439
Speaker 1: First. We're going to get into the crazy world of

1380
01:19:15,840 --> 01:19:22,320
Speaker 1: AI and humanoids. This is a very weird topic for

1381
01:19:22,439 --> 01:19:24,559
Speaker 1: me because it kind of freaks me out.

1382
01:19:24,560 --> 01:19:26,719
Speaker 2: I'm not gonna I'm not gonna lie. It's a little

1383
01:19:26,760 --> 01:19:29,960
Speaker 2: bit of a freaky topic. I've got my partner, doctor Wes,

1384
01:19:29,960 --> 01:19:32,680
Speaker 2: on the line with me, calling in from Nashville, Tennessee.

1385
01:19:33,000 --> 01:19:34,200
Speaker 1: Doctor Wes, how are you.

1386
01:19:36,040 --> 01:19:37,240
Speaker 3: I'm doing well. How are you?

1387
01:19:37,680 --> 01:19:40,439
Speaker 2: It's been raining a lot here in Cincinnati. How about

1388
01:19:40,479 --> 01:19:41,400
Speaker 2: you and Nashville?

1389
01:19:42,160 --> 01:19:45,799
Speaker 3: Yeah, yeah, we had storms rolling through this afternoon. Sure.

1390
01:19:46,080 --> 01:19:49,360
Speaker 2: Yeah, Well, hopefully get a little bit of a break

1391
01:19:49,400 --> 01:19:52,320
Speaker 2: for the next couple of days. So, Doctor Wes, this

1392
01:19:52,479 --> 01:19:55,120
Speaker 2: AI thing, so, I mean, like I just mentioned, it

1393
01:19:55,160 --> 01:19:57,559
Speaker 2: has me a little freaked out. I watched a special

1394
01:19:57,640 --> 01:20:01,880
Speaker 2: on the humanoid robots that are coming out, and you know,

1395
01:20:02,080 --> 01:20:06,840
Speaker 2: humanoid robots are designed to look and move like humans.

1396
01:20:07,160 --> 01:20:10,760
Speaker 2: They have a head with cameras and sensors and they

1397
01:20:10,800 --> 01:20:14,240
Speaker 2: have a torso for the battery and computing and all

1398
01:20:14,280 --> 01:20:16,400
Speaker 2: that kind of stuff, to arms and hands for gripping

1399
01:20:16,479 --> 01:20:21,320
Speaker 2: and manipulating objects, and then two legs for walking and balance.

1400
01:20:21,880 --> 01:20:26,160
Speaker 2: By twenty thirty five, they are saying these humanoid robots

1401
01:20:26,200 --> 01:20:31,200
Speaker 2: will be as common as cars and appliances. So they're guessing,

1402
01:20:31,280 --> 01:20:34,080
Speaker 2: you know, they'll be in everybody's house. They cost anywhere

1403
01:20:34,080 --> 01:20:38,040
Speaker 2: from ten to twenty thousand dollars for the basic models.

1404
01:20:38,320 --> 01:20:41,639
Speaker 1: They can cook, they can clean, they can run errands.

1405
01:20:43,280 --> 01:20:46,680
Speaker 2: They help with the elderly who needs care and companionship.

1406
01:20:47,320 --> 01:20:51,160
Speaker 2: They'll be able to do yard work, home security, and

1407
01:20:51,280 --> 01:20:55,639
Speaker 2: running errands. I mean, imagine seeing everyone that can afford

1408
01:20:55,640 --> 01:20:58,839
Speaker 2: one in America with a humanoid robot mowing your lawn.

1409
01:20:58,960 --> 01:20:59,800
Speaker 1: How weird is that?

1410
01:21:02,040 --> 01:21:07,559
Speaker 2: So the question I have and obvious obviously the job

1411
01:21:07,680 --> 01:21:09,200
Speaker 2: thing is kind of scary.

1412
01:21:09,320 --> 01:21:10,920
Speaker 1: Many of our jobs are going to go away. People

1413
01:21:10,960 --> 01:21:11,800
Speaker 1: are predicting that.

1414
01:21:12,360 --> 01:21:15,960
Speaker 2: But you know, there are people that are already having

1415
01:21:16,800 --> 01:21:19,680
Speaker 2: romantic relationships with these AI humanizes.

1416
01:21:19,760 --> 01:21:22,200
Speaker 1: Where do you see this going, doctor Wes?

1417
01:21:24,360 --> 01:21:28,240
Speaker 3: You know, I think it's obviously AI is here to stay,

1418
01:21:28,439 --> 01:21:33,519
Speaker 3: as you just reference there. I do think that we

1419
01:21:33,600 --> 01:21:38,920
Speaker 3: will see AI showing up in our relationships. I do

1420
01:21:39,000 --> 01:21:42,160
Speaker 3: think that there are limitations to it when it comes

1421
01:21:42,200 --> 01:21:47,320
Speaker 3: to their ability to really get into the nuance of

1422
01:21:47,400 --> 01:21:52,040
Speaker 3: human relationships. So I think the research studies that I've

1423
01:21:52,040 --> 01:21:56,280
Speaker 3: looked at showed that they can reach about seventy to

1424
01:21:56,439 --> 01:22:02,759
Speaker 3: ninety percent accuracy for basic emotions such as happiness, sadness, anger,

1425
01:22:02,840 --> 01:22:09,000
Speaker 3: and surprise when facial expressions are clear. However, the accuracy

1426
01:22:09,120 --> 01:22:12,759
Speaker 3: drops in real world situations where those emotions are mixed

1427
01:22:12,880 --> 01:22:16,880
Speaker 3: or there's cultural nuance. So I think it's it's going

1428
01:22:16,960 --> 01:22:21,320
Speaker 3: to be, you know, these people that are falling in love,

1429
01:22:21,439 --> 01:22:24,040
Speaker 3: and we'll get into this, you know, with with chatbots

1430
01:22:24,160 --> 01:22:28,360
Speaker 3: or with AI. They're falling in love with I think

1431
01:22:28,439 --> 01:22:32,480
Speaker 3: because there's a reflection of human emotion, the basic emotions

1432
01:22:32,520 --> 01:22:35,080
Speaker 3: back to them. But I don't know how deep these

1433
01:22:35,120 --> 01:22:38,320
Speaker 3: relationships are really going. So I guess what I'm saying

1434
01:22:38,360 --> 01:22:42,200
Speaker 3: is limitations are going to apply. I think initially in

1435
01:22:42,200 --> 01:22:44,800
Speaker 3: this case for sure, so are you.

1436
01:22:44,840 --> 01:22:47,040
Speaker 1: So I do understand that.

1437
01:22:47,120 --> 01:22:51,960
Speaker 2: But as AI and these humanoids get smarter and smarter,

1438
01:22:52,280 --> 01:22:54,760
Speaker 2: and they they become.

1439
01:22:55,080 --> 01:22:58,519
Speaker 1: You know, more and more human like, and this is

1440
01:22:58,560 --> 01:22:59,759
Speaker 1: at a warp speed.

1441
01:23:00,280 --> 01:23:04,240
Speaker 2: Do you will there will will a machine ever get

1442
01:23:04,280 --> 01:23:09,800
Speaker 2: to have their own independent emotions? I mean, is that

1443
01:23:09,920 --> 01:23:13,200
Speaker 2: even possible to grow into it? You know, think Terminator

1444
01:23:13,280 --> 01:23:16,320
Speaker 2: and on some of these crazy movies that are coming out.

1445
01:23:16,479 --> 01:23:18,200
Speaker 1: Is that even possible?

1446
01:23:20,760 --> 01:23:24,160
Speaker 3: I think that it's from my limited understanding of because

1447
01:23:24,160 --> 01:23:26,960
Speaker 3: I'm still studying this like everybody else. But it's based

1448
01:23:27,000 --> 01:23:32,439
Speaker 3: on humanoids rely on effective computing, is what my research showed.

1449
01:23:32,600 --> 01:23:36,720
Speaker 3: So that's like, from what I understand, uses facial recognition,

1450
01:23:37,080 --> 01:23:42,759
Speaker 3: voice tone analysis, body language, and linguistic cues to infer

1451
01:23:43,000 --> 01:23:47,360
Speaker 3: emotional states. So in other words, it's it's gonna it's

1452
01:23:47,560 --> 01:23:51,439
Speaker 3: it's uh, it's effective computing. So it's a it's a template,

1453
01:23:51,479 --> 01:23:55,439
Speaker 3: it's a it's it's basically, they're just trying to where

1454
01:23:55,439 --> 01:23:58,600
Speaker 3: have I seen this before and can I infer the

1455
01:23:58,680 --> 01:24:02,120
Speaker 3: emotional state based on what I've seen, what I can understand,

1456
01:24:02,160 --> 01:24:04,880
Speaker 3: and how I can compute before. So I that to

1457
01:24:04,960 --> 01:24:09,040
Speaker 3: me tells me that it's not independent. It's based on uh,

1458
01:24:09,200 --> 01:24:12,439
Speaker 3: it's based on, like anything else, what they've experienced before,

1459
01:24:12,960 --> 01:24:16,920
Speaker 3: and they're kind of making a determination based on on that.

1460
01:24:17,120 --> 01:24:19,760
Speaker 3: So my sense of it is is that what you

1461
01:24:19,840 --> 01:24:21,679
Speaker 3: put into AI is what you're going to get out

1462
01:24:21,680 --> 01:24:25,920
Speaker 3: of AI. So I think it's still dependent on what

1463
01:24:25,960 --> 01:24:27,240
Speaker 3: we are feeding the machine.

1464
01:24:27,360 --> 01:24:27,559
Speaker 6: Yep.

1465
01:24:27,640 --> 01:24:30,960
Speaker 2: So you can care so people think yep, And I

1466
01:24:31,000 --> 01:24:34,400
Speaker 2: completely agree. And I think, you know, people can completely

1467
01:24:34,439 --> 01:24:39,479
Speaker 2: customize the personality of the AI humanoid robots.

1468
01:24:39,479 --> 01:24:44,559
Speaker 1: So if you want them to call you, you.

1469
01:24:42,520 --> 01:24:45,760
Speaker 2: Know, a nickname, you can say, you can have them

1470
01:24:46,280 --> 01:24:49,280
Speaker 2: refer to you as a nickname or some you know,

1471
01:24:50,920 --> 01:24:54,160
Speaker 2: anything really as long as you put it in the system.

1472
01:24:54,600 --> 01:25:00,560
Speaker 2: But how do you think these partnerships exacerbate socialize isolation?

1473
01:25:00,920 --> 01:25:02,920
Speaker 2: Because you know, what, do you what are we going

1474
01:25:02,960 --> 01:25:07,599
Speaker 2: to see somebody in a restaurant with their humanoid robot

1475
01:25:07,640 --> 01:25:08,599
Speaker 2: out to a dinner date?

1476
01:25:08,640 --> 01:25:11,200
Speaker 1: I mean, how how how far are we going to

1477
01:25:11,280 --> 01:25:16,080
Speaker 1: take this? I mean because you I've seen, you know

1478
01:25:16,200 --> 01:25:19,599
Speaker 1: there there was a restaurant in New York that they're

1479
01:25:19,640 --> 01:25:23,200
Speaker 1: opening up where you know, you can sit with a

1480
01:25:23,280 --> 01:25:27,960
Speaker 1: screen at your table and you can have your humanoid

1481
01:25:28,080 --> 01:25:33,400
Speaker 1: robot at on the screen. I just find that, you know,

1482
01:25:33,560 --> 01:25:34,559
Speaker 1: so bizarre.

1483
01:25:34,600 --> 01:25:37,519
Speaker 2: And do you feel, like doctor West, we're failing as

1484
01:25:38,040 --> 01:25:40,200
Speaker 2: humans to be able to connect with each other?

1485
01:25:41,720 --> 01:25:44,360
Speaker 3: Yeah? Number one, I do think we are going to

1486
01:25:44,400 --> 01:25:49,200
Speaker 3: see people, uh, you know, out out if they are

1487
01:25:49,200 --> 01:25:51,200
Speaker 3: going to become as common as well you you let

1488
01:25:51,240 --> 01:25:53,240
Speaker 3: off the top of the show with I think that

1489
01:25:53,360 --> 01:25:55,920
Speaker 3: we'll definitely see them, see them out, and we'll see

1490
01:25:55,920 --> 01:26:00,120
Speaker 3: people out with them, because I think that it's about

1491
01:26:00,120 --> 01:26:02,920
Speaker 3: a dopamine hit like anything else, and if you can

1492
01:26:02,960 --> 01:26:08,800
Speaker 3: design something to constantly be providing you a dopamine head.

1493
01:26:08,840 --> 01:26:12,000
Speaker 3: I mean, look at our phones. These are dopamine hit machines, right,

1494
01:26:12,080 --> 01:26:14,639
Speaker 3: So I look how addicted we are to our phones.

1495
01:26:15,200 --> 01:26:17,200
Speaker 3: I think that we're going to become addicted to these

1496
01:26:17,240 --> 01:26:20,439
Speaker 3: humanoids like anything else, because they're going to validate our emotions.

1497
01:26:20,479 --> 01:26:23,479
Speaker 3: They're going to reflect back what we're feeling, and they're

1498
01:26:23,520 --> 01:26:27,600
Speaker 3: going to I know, with my use of AI, you know,

1499
01:26:27,640 --> 01:26:30,920
Speaker 3: AI learns about you, right, So it's it's tailoring the

1500
01:26:30,960 --> 01:26:34,200
Speaker 3: tasks that you it's making it easier, and it's tailoring

1501
01:26:34,280 --> 01:26:36,720
Speaker 3: the task and it learns about you, and it's it's

1502
01:26:36,760 --> 01:26:40,640
Speaker 3: actually suggesting possible answers to questions you haven'ting thought of.

1503
01:26:41,080 --> 01:26:44,640
Speaker 3: So in that case, we're going to see are we

1504
01:26:44,720 --> 01:26:48,440
Speaker 3: going to see humanoids that can help coach our emotions,

1505
01:26:48,840 --> 01:26:52,880
Speaker 3: help us resolve issues in relationships? You know, I think

1506
01:26:52,920 --> 01:26:55,840
Speaker 3: it opens up a whole world of questions for sure,

1507
01:26:56,240 --> 01:26:57,840
Speaker 3: But yeah, I do think we'll see them out there.

1508
01:26:57,840 --> 01:27:01,840
Speaker 3: And as far as how does it exacerbate social isolation,

1509
01:27:02,520 --> 01:27:05,640
Speaker 3: I think it's going to continue to keep us in silos.

1510
01:27:05,880 --> 01:27:08,559
Speaker 3: I think that we will if we don't like what

1511
01:27:08,640 --> 01:27:10,720
Speaker 3: a human is giving us, we'll just go to our

1512
01:27:10,880 --> 01:27:12,360
Speaker 3: you know, it sounds like we can just go to

1513
01:27:12,400 --> 01:27:15,680
Speaker 3: our humanoid and we're we're in a silo and we

1514
01:27:15,720 --> 01:27:19,000
Speaker 3: can just as sad as it sounds, get what we

1515
01:27:19,040 --> 01:27:21,200
Speaker 3: want and not have to put the work into a

1516
01:27:21,240 --> 01:27:22,720
Speaker 3: real human relationship.

1517
01:27:23,560 --> 01:27:27,720
Speaker 2: You know, I I am conflicted about it because I

1518
01:27:27,800 --> 01:27:33,439
Speaker 2: was reading some of the reasons why people are you know,

1519
01:27:33,680 --> 01:27:37,840
Speaker 2: falling in love with these AI humanoids or you know,

1520
01:27:37,920 --> 01:27:43,280
Speaker 2: any kind of any kind of AI relationship period, and

1521
01:27:43,600 --> 01:27:47,720
Speaker 2: loneliness was the biggest factor that I read, Like, so

1522
01:27:47,920 --> 01:27:51,200
Speaker 2: we have a lot of lonely people out there, and

1523
01:27:51,240 --> 01:27:56,400
Speaker 2: it's a way to feel connected to something. So, you know,

1524
01:27:57,120 --> 01:28:02,280
Speaker 2: I'm conflicted because if somebody ifes this make somebody feel

1525
01:28:02,640 --> 01:28:09,280
Speaker 2: less lonely, is this a positive thing? But it's a

1526
01:28:09,320 --> 01:28:12,759
Speaker 2: slippery slope. How do you feel about that, doctor Wes?

1527
01:28:13,920 --> 01:28:17,320
Speaker 3: Yeah, there are all kinds of ethical concerns that I have.

1528
01:28:17,479 --> 01:28:22,880
Speaker 3: I do think that it's you know, I think technology

1529
01:28:23,040 --> 01:28:25,639
Speaker 3: can help us, as you said, not feel as lonely

1530
01:28:26,120 --> 01:28:31,080
Speaker 3: and can definitely be a support for us. And we've

1531
01:28:31,160 --> 01:28:34,400
Speaker 3: seen technology do that for us up to this point.

1532
01:28:34,520 --> 01:28:37,920
Speaker 3: I mean, as I mentioned our phone or a lot

1533
01:28:37,960 --> 01:28:41,200
Speaker 3: of other I mean these other devices that can help

1534
01:28:41,240 --> 01:28:45,680
Speaker 3: assist us in tasks and staying organized and ordering our groceries,

1535
01:28:45,760 --> 01:28:48,760
Speaker 3: and I mean they can definitely improve our lives. So

1536
01:28:48,880 --> 01:28:51,760
Speaker 3: to think that they might be able to improve our

1537
01:28:52,080 --> 01:28:55,040
Speaker 3: relationships as far as keeping us from feeling as lonely,

1538
01:28:55,880 --> 01:28:59,439
Speaker 3: that is something that as a therapist, you know, I

1539
01:28:59,479 --> 01:29:04,160
Speaker 3: think that I think that we have to be careful

1540
01:29:04,200 --> 01:29:06,519
Speaker 3: with it. I think that what I want to say

1541
01:29:06,600 --> 01:29:10,920
Speaker 3: is if my clients could could have a decrease in loneliness,

1542
01:29:11,120 --> 01:29:15,519
Speaker 3: that would be wonderful. But what are we losing with

1543
01:29:15,640 --> 01:29:19,519
Speaker 3: that human human connection? Yeah, is what I'm most concerned about,

1544
01:29:19,640 --> 01:29:23,720
Speaker 3: because it's a slippery slope, as you said, Because I

1545
01:29:23,720 --> 01:29:27,000
Speaker 3: would love to see anxiety and depression decrease in our society,

1546
01:29:27,040 --> 01:29:29,479
Speaker 3: but what are we losing as a result of that.

1547
01:29:30,680 --> 01:29:32,080
Speaker 3: I don't know that it's worth it.

1548
01:29:32,080 --> 01:29:35,120
Speaker 2: Because you can plug just we were talking about this

1549
01:29:35,160 --> 01:29:40,479
Speaker 2: earlier you can plug in and customize the personality that

1550
01:29:40,560 --> 01:29:43,280
Speaker 2: you want from your AI humanoid, and so it will

1551
01:29:43,320 --> 01:29:44,599
Speaker 2: listen without judgment.

1552
01:29:46,560 --> 01:29:48,160
Speaker 1: It's always going to be available.

1553
01:29:48,280 --> 01:29:52,240
Speaker 2: The AI partner will always be available, and so there's

1554
01:29:52,280 --> 01:29:55,120
Speaker 2: not going to be a lot of resistance or pushback

1555
01:29:55,439 --> 01:29:56,800
Speaker 2: on what you're supposed to learn.

1556
01:29:56,840 --> 01:29:59,560
Speaker 1: That isn't that what relationships are about.

1557
01:29:59,680 --> 01:30:05,720
Speaker 2: In in trying to understand where you bring out the

1558
01:30:05,840 --> 01:30:10,400
Speaker 2: crazy in ourselves so that we can heal it and evolve.

1559
01:30:10,479 --> 01:30:13,120
Speaker 2: I just feel like this will keep us in a

1560
01:30:13,160 --> 01:30:16,400
Speaker 2: constant state of stuck and never evolving.

1561
01:30:17,120 --> 01:30:19,960
Speaker 1: Is that what you're seeing? Yeah?

1562
01:30:20,000 --> 01:30:25,320
Speaker 3: Absolutely, absolutely, Yeah, Because in relationships we help each other grow.

1563
01:30:25,680 --> 01:30:28,639
Speaker 3: That's the whole idea of well, that's the whole idea

1564
01:30:28,680 --> 01:30:30,479
Speaker 3: of what I do for a living in therapy is

1565
01:30:30,520 --> 01:30:34,320
Speaker 3: helping people grow. And sometimes those conversations are tough and

1566
01:30:34,360 --> 01:30:37,120
Speaker 3: you have to confront things about yourself that you may

1567
01:30:37,120 --> 01:30:39,400
Speaker 3: not like. But if you have an AI that's just

1568
01:30:39,439 --> 01:30:42,240
Speaker 3: telling you what you want to hear, Yes, are you

1569
01:30:42,320 --> 01:30:44,880
Speaker 3: really growing? And the answer would be I think no.

1570
01:30:46,160 --> 01:30:47,080
Speaker 1: Yeah, I would agree.

1571
01:30:47,120 --> 01:30:50,040
Speaker 2: If I've won three seven, four, nine, seven, eight hundred,

1572
01:30:50,080 --> 01:30:52,599
Speaker 2: the Big One, what do you think would you get

1573
01:30:52,640 --> 01:30:56,599
Speaker 2: an AI robot, a humanoid in your house. Is this

1574
01:30:56,640 --> 01:31:00,000
Speaker 2: something that sounds appealing to you? Is it sounds like

1575
01:31:00,640 --> 01:31:02,920
Speaker 2: a little freaky like it does to me. I mean,

1576
01:31:02,960 --> 01:31:08,679
Speaker 2: because humanoids they're saying twenty thirty five. In twenty thirty five,

1577
01:31:08,960 --> 01:31:13,799
Speaker 2: that is less than ten years from now, almost everybody,

1578
01:31:13,840 --> 01:31:17,760
Speaker 2: at least everybody that can afford one, will have one

1579
01:31:18,280 --> 01:31:21,800
Speaker 2: in their house to do chores, to take care of

1580
01:31:21,840 --> 01:31:26,000
Speaker 2: the baby, to walk the dogs, to you know, laundry,

1581
01:31:26,160 --> 01:31:29,840
Speaker 2: to go run errands. I mean, doctor West, do you

1582
01:31:30,120 --> 01:31:33,960
Speaker 2: see yourself having a humanoid robot in your house?

1583
01:31:34,000 --> 01:31:35,640
Speaker 1: It's hard for me to fathom that.

1584
01:31:37,080 --> 01:31:37,240
Speaker 6: Yeah.

1585
01:31:37,360 --> 01:31:40,439
Speaker 3: No, I'm not interested in that, not in.

1586
01:31:40,400 --> 01:31:45,680
Speaker 1: A relationship way, in just like a healthful way, you know.

1587
01:31:45,960 --> 01:31:49,160
Speaker 3: I mean, I have to be fair. I do enjoy

1588
01:31:50,600 --> 01:31:53,840
Speaker 3: you know, I have Alexa supportive devices, you know, so

1589
01:31:53,960 --> 01:31:56,960
Speaker 3: I do have you know, and and I U Siri,

1590
01:31:57,200 --> 01:32:02,040
Speaker 3: and you know, there are these they help me with organization. Uh,

1591
01:32:02,240 --> 01:32:05,759
Speaker 3: you know, I use AI on my phone, you know, chat, GPT.

1592
01:32:05,920 --> 01:32:11,720
Speaker 3: I would use these these these they're helpful. But as

1593
01:32:11,760 --> 01:32:15,200
Speaker 3: far as as far as having someone walk my dog,

1594
01:32:15,320 --> 01:32:17,360
Speaker 3: like having a humanoid walk my dog for me, there

1595
01:32:17,439 --> 01:32:19,880
Speaker 3: is so much I get out of walking room. I

1596
01:32:19,880 --> 01:32:24,000
Speaker 3: wouldn't want to lose to do that. I wouldn't want to.

1597
01:32:24,040 --> 01:32:26,360
Speaker 3: I would not want to farm that out. I would

1598
01:32:26,360 --> 01:32:30,200
Speaker 3: not want to, you know, have someone to take over

1599
01:32:30,280 --> 01:32:32,800
Speaker 3: these daily tasks, because what am I going to What

1600
01:32:32,880 --> 01:32:35,160
Speaker 3: am I going to do? Then sit on the couch

1601
01:32:35,200 --> 01:32:36,880
Speaker 3: and do not think I mean I think that there

1602
01:32:36,920 --> 01:32:40,400
Speaker 3: needs to there. I don't want to lose my quality.

1603
01:32:40,600 --> 01:32:42,920
Speaker 3: There's a it's a balancing act. Like we talked about,

1604
01:32:42,920 --> 01:32:45,920
Speaker 3: a slippery slope. Where is the cost benefit analysis and

1605
01:32:46,000 --> 01:32:49,720
Speaker 3: where are we losing our desire to just live and

1606
01:32:49,760 --> 01:32:52,920
Speaker 3: do daily tasks in favor of giving it to something else.

1607
01:32:53,120 --> 01:32:57,280
Speaker 2: Yeah, to do I was I was on a presentation

1608
01:32:57,400 --> 01:32:59,839
Speaker 2: the other day and it was an AI call center

1609
01:33:00,080 --> 01:33:04,880
Speaker 2: lead capture company that you know, we're trying to partner with,

1610
01:33:05,000 --> 01:33:08,400
Speaker 2: and they're very, very high tech, and they played us

1611
01:33:08,439 --> 01:33:12,840
Speaker 2: a call from an AI robot, and these AI robots

1612
01:33:12,920 --> 01:33:17,840
Speaker 2: asked questions, they were they answered questions from the customer,

1613
01:33:17,960 --> 01:33:21,439
Speaker 2: They scheduled the appointment, They told them where the shut

1614
01:33:21,439 --> 01:33:24,280
Speaker 2: off water valve is and where to look for it.

1615
01:33:24,439 --> 01:33:28,960
Speaker 2: They I mean, they literally did everything. And you know

1616
01:33:29,479 --> 01:33:32,680
Speaker 2: the days of press one for more information, those are

1617
01:33:32,720 --> 01:33:36,200
Speaker 2: coming to a close rapidly. I mean, I couldn't believe

1618
01:33:36,479 --> 01:33:40,080
Speaker 2: that this AI can that it was AI generated. I mean,

1619
01:33:40,120 --> 01:33:47,559
Speaker 2: the questions and answers from this AI was unbelievable. I

1620
01:33:47,680 --> 01:33:49,680
Speaker 2: just don't know if this is the beginning of the

1621
01:33:49,800 --> 01:33:50,639
Speaker 2: end of humans.

1622
01:33:50,760 --> 01:33:51,840
Speaker 1: I mean, I.

1623
01:33:51,800 --> 01:33:56,639
Speaker 2: Always Terminator was a very scary movie for me when

1624
01:33:56,640 --> 01:33:58,840
Speaker 2: I was growing up, and I thought, how are you

1625
01:33:58,880 --> 01:33:59,639
Speaker 2: going to kill this?

1626
01:34:00,120 --> 01:34:00,280
Speaker 7: Well?

1627
01:34:00,400 --> 01:34:03,400
Speaker 2: He just you put a dynamite in his in his

1628
01:34:03,600 --> 01:34:05,280
Speaker 2: pants and he just keeps going.

1629
01:34:05,760 --> 01:34:09,840
Speaker 1: I mean, is this is this a concern is?

1630
01:34:10,160 --> 01:34:13,040
Speaker 2: I mean, I know that there are concerns about it, obviously,

1631
01:34:13,080 --> 01:34:17,280
Speaker 2: and and we're going to get AI and just with

1632
01:34:17,400 --> 01:34:20,679
Speaker 2: some nefarious people, and they're going to turn AI boss

1633
01:34:20,720 --> 01:34:22,559
Speaker 2: into you know whatever that's going to happen.

1634
01:34:22,640 --> 01:34:27,280
Speaker 1: But are you as concerned about it as I am.

1635
01:34:27,720 --> 01:34:32,080
Speaker 3: I'm definitely concerned. I am concerned that I don't know

1636
01:34:32,120 --> 01:34:34,720
Speaker 3: where the end game is for this right And so

1637
01:34:34,840 --> 01:34:39,600
Speaker 3: I think that I'm concerned with the most vulnerable in

1638
01:34:39,960 --> 01:34:43,080
Speaker 3: my line of work, people who are falling in love

1639
01:34:43,120 --> 01:34:48,240
Speaker 3: with these AI and or or teenagers who are who

1640
01:34:48,320 --> 01:34:52,320
Speaker 3: are getting on these AI divide you know, chat bots

1641
01:34:52,640 --> 01:34:56,120
Speaker 3: and asking what they should do, and and these chat

1642
01:34:56,160 --> 01:35:01,560
Speaker 3: bots are giving them sometimes deadly advice yeahing them to

1643
01:35:02,200 --> 01:35:06,160
Speaker 3: do things that are just catastrophic upon their lives because

1644
01:35:06,560 --> 01:35:09,400
Speaker 3: they are not taking into account the nuance of their

1645
01:35:09,520 --> 01:35:12,560
Speaker 3: relationships and what's going on. It's more just that computing

1646
01:35:12,640 --> 01:35:16,880
Speaker 3: and just giving them a computed answer. So I am

1647
01:35:16,960 --> 01:35:20,040
Speaker 3: concerned about the dangers of AI. I don't know where

1648
01:35:20,040 --> 01:35:22,640
Speaker 3: it's gonna. I think that it's here to stay. So

1649
01:35:22,720 --> 01:35:25,559
Speaker 3: I think that we need to consider how do we

1650
01:35:26,080 --> 01:35:28,120
Speaker 3: how do we start to put limitations on it?

1651
01:35:29,760 --> 01:35:33,640
Speaker 2: That that is the question, and it's there's there's not

1652
01:35:33,720 --> 01:35:36,880
Speaker 2: a lot of regulation right now because there's so many

1653
01:35:36,920 --> 01:35:39,240
Speaker 2: people working on it, and it's a race to become

1654
01:35:39,280 --> 01:35:40,840
Speaker 2: the first to do this and the.

1655
01:35:40,720 --> 01:35:41,760
Speaker 1: Second to do that.

1656
01:35:41,960 --> 01:35:46,840
Speaker 2: And it's it's going to be an interesting next few

1657
01:35:46,920 --> 01:35:50,120
Speaker 2: years for all of us with with AI. When we

1658
01:35:50,160 --> 01:35:52,240
Speaker 2: come back, as doctor West is going to stay with

1659
01:35:52,320 --> 01:35:55,040
Speaker 2: us for at least one more break, we're going to

1660
01:35:55,160 --> 01:35:58,080
Speaker 2: talk about and you mentioned cell phones and how we're addicted,

1661
01:35:58,439 --> 01:36:03,080
Speaker 2: and we've mentioned before or social media, how what kind

1662
01:36:03,160 --> 01:36:05,880
Speaker 2: of damage it is doing to our brain and how

1663
01:36:05,920 --> 01:36:10,639
Speaker 2: we can combat that. This is interesting stuff, and listen,

1664
01:36:10,760 --> 01:36:12,679
Speaker 2: we are the governors of our own lives.

1665
01:36:12,760 --> 01:36:13,639
Speaker 1: We're the creators.

1666
01:36:13,680 --> 01:36:17,160
Speaker 2: It is up to monitor our type of behavior with

1667
01:36:17,280 --> 01:36:21,080
Speaker 2: these addictive cell phones and social media. So we're going

1668
01:36:21,160 --> 01:36:24,920
Speaker 2: to get into that in a minute. Right now, we're

1669
01:36:24,920 --> 01:36:28,880
Speaker 2: going to take a break. Brady Brady Hopkins has news

1670
01:36:29,120 --> 01:36:32,280
Speaker 2: whether in traffic. It's Donna d with doctor Wes seven

1671
01:36:32,400 --> 01:36:34,280
Speaker 2: hundred WLW, Cincinnati.

1672
01:36:34,360 --> 01:36:35,280
Speaker 1: I'm Amanda Knox.