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Speaker 1: What these guys do at work is probably not safe

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Speaker 1: for you.

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Speaker 2: To listen to at work. Maybe put some headphones on.

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Speaker 3: Welcome back to rovers morning, Glory.

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Speaker 1: Hizzy is coming up in just a moment. What do

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Speaker 1: you have on the way, du Gee, I'm.

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Speaker 4: Going to tell you what you need to eat to

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Speaker 4: poop if you have chronic constipation.

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Speaker 2: I've never had that.

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Speaker 5: If you have it, what you can eat to poop regularly.

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Speaker 1: We'll get to that in just a moment. Jeffries a

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Speaker 1: bad dad. Oh, come on, that's the person's text name.

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Speaker 1: Change that to Jefferys a good father. What do you

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Speaker 1: think about that, Jeffrey?

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Speaker 2: Or he just uses the last word, ditchit of his

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Speaker 2: phone number is real name? All right?

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Speaker 1: Seventy eight writes, Tell Jeffrey to make his instant oatmeal

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Speaker 1: with coffee. It will change his life. It tastes amazing,

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Speaker 1: and you get more caffeine. You like coffee, you like

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Speaker 1: instant oatmeal. Would you ever combined the two? You know?

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Speaker 2: I think I'll just use hot water, Thank you very much.

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Speaker 1: And disaster says, can we have someone come in and

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Speaker 1: get Jeffrey really high and see if he can eat

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Speaker 1: an entire taco?

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Speaker 2: Bell box. How much food is in a Taco Bell box?

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Speaker 2: What kind of box are we talking about here? I

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Speaker 2: don't know if it's a lux box. I get the

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Speaker 2: Supreme Lux Box for.

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Speaker 6: Like nine dollars and it has like four items, and

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Speaker 6: I could eat the whole thing.

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Speaker 4: Why do you need like a dinner box with like

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Speaker 4: fifteen tacos or something?

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Speaker 2: The most I could eat a six?

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Speaker 1: There was a I saw as somebody sent me there's

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Speaker 1: a marathon that was taking place or took place or

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Speaker 1: is taking place in Denver, Colorado. And it's like, I

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Speaker 1: don't know, twenty six miles or whatever. For some reason,

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Speaker 1: I think this was thirty one miles. I don't know

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Speaker 1: why it would be a marathon. Don okay, Well this

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Speaker 1: I believe that long. I don't know if it's every

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Speaker 1: mile or what it is. You have to stop up

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Speaker 1: and eat taco bell. They have just unlimited taco Bell

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Speaker 1: that you have to eat.

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Speaker 2: I guess, and.

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Speaker 1: That's what you do as E RaSE, and a lot

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Speaker 1: of people, few people at least sent me email saying

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Speaker 1: that Jeffrey loves to smash some bell.

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Speaker 2: You should send him on the camera. He he'll walk forever.

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Speaker 7: I mean, he won't he probably can't run that long,

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Speaker 7: but he could walk endlessly.

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Speaker 2: Do you think he could walk from here to Denver? Yes?

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Speaker 6: Absolutely, that's a coast that's about two thousand, five hundred

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Speaker 6: miles from here.

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Speaker 2: I don't know if I can walk that distance. I mean,

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Speaker 2: I know Rover Mede to claim that.

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Speaker 6: He says he could walk to Equival, like this is

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Speaker 6: a marathon, but he puts in all these other crazy stipulations.

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Speaker 2: He gets to do this stipulation, you have to take

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Speaker 2: a nap every half mile in there. There's definitely a nap. No,

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Speaker 2: But I remember hearing about it. I remember hear you

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Speaker 2: brag about it.

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Speaker 6: River, So I mean, I mean, remember the time I

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Speaker 6: walked from my old house to the radios, our old

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Speaker 6: radio station, and it took me about four and a

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Speaker 6: half hours to do, and I did having to hide

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Speaker 6: to take pea breaks.

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Speaker 2: Well, sometimes you don't.

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Speaker 1: You think you know, but you don't know, Jeffrey, considering

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Speaker 1: you say Cleveland to Denver is twenty five hundred miles,

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Speaker 1: it's actually about thirteen.

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Speaker 2: Hundred miles, So I was just guestimating. So I didn't know.

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Speaker 2: I didn't know the exact distance. So forgetting me out now,

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Speaker 2: it's not even the exact You didn't know the distance

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Speaker 2: period the tacoo was called was called guestimating. Dude.

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Speaker 8: Yeah, the taco bell fifty k. That's why it's thirty

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Speaker 8: one miles. Oh okay, it's uh. I put me on whoops.

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Speaker 8: And this is for next year, because we have a

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Speaker 8: whole year to plan for next year's nice. It goes

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Speaker 8: all around the map goes all around Denver, and you're

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Speaker 8: not ed.

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Speaker 2: To if I remember, you can't puke. You puke, you're

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Speaker 2: immediately out.

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Speaker 7: You also can't eat any tombs or anything like that,

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Speaker 7: and you can only go to designated You can only

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Speaker 7: go to the bathroom at taco bell.

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Speaker 2: There's ten taco bell stops. Yes, oh, and by ten stops,

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Speaker 2: it's nothing right. While you're running.

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Speaker 1: While you're running taco bell, the tocobo signs what do

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Speaker 1: you eat a taco No?

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Speaker 2: No, no.

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Speaker 7: There's a rule that you have to have a crunch

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Speaker 7: Wrap Supreme by the third stop or something at least,

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Speaker 7: and then a NATO's Bell Grande by the seventh one.

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Speaker 2: So you do have to consume a significant amount of

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Speaker 2: taco bell, finishing under eleven hours.

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Speaker 4: What they tell you to eat, you can't just do

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Speaker 4: a soft shell taco and you're on your way.

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Speaker 7: No, No, I think you can, except by the third

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Speaker 7: one you have to have at least you have to do.

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Speaker 1: You'll probably be hungry by that point of yeah, right.

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Speaker 2: I don't know.

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Speaker 1: I tried to limit my physical activity to walking in

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Speaker 1: from the parking garage, so I don't know exactly.

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Speaker 4: But Jeffree and I will go, we'll get really high,

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Speaker 4: and then we'll do this and then we could eat

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Speaker 4: tacos on the way to be.

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Speaker 1: Great disaster says the dinner box has twelve tacos. I

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Speaker 1: think I think he could get it if he was

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Speaker 1: really high. So, Jeffrey, would you like to travel next year?

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Speaker 1: If you guys are reminding me, perhaps we'll send you

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Speaker 1: and Crystal to Denver for.

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Speaker 2: The taco bell.

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Speaker 6: So you gotta remember, I cannot run for an extremely

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Speaker 6: long distance.

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Speaker 2: I can only run like maybe one hundred yards or less.

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Speaker 2: Could you do it?

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Speaker 4: Though?

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Speaker 1: You could walk? Just fast walk it? You have how long?

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Speaker 1: Eleven eleven hours finish? So how long is it?

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Speaker 6: If I remember correctly, it's four point one miles from

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Speaker 6: our old radio station to my old house. And I

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Speaker 6: can know, I know, I can walk dot about four

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Speaker 6: hours at a normal pace.

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Speaker 2: A whole lot of such.

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Speaker 1: You're telling me that from your house to the old

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Speaker 1: radio station was four miles.

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Speaker 2: No, no, it was eleven miles.

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Speaker 6: My bait, Okay, eleven was at one point, I think

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Speaker 6: eleven point four miles and at a normal pace, I

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Speaker 6: could probably walk that in about four hours fifteen minutes.

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Speaker 2: Well that's twelve.

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Speaker 1: If you have molt pied by three, you'd have to

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Speaker 1: walk two point eight miles per hour, which is not

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Speaker 1: super fast, in order to make that eleven hour mark.

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Speaker 2: So Jeffrey, I maybe you could. We could do that.

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Speaker 1: And if you finish it and you do it in

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Speaker 1: the eleven hours, I doubt they ad maybe he gets

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Speaker 1: some sort of reward like crystal flash.

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Speaker 2: Is he at the end or something. I don't know

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Speaker 2: if Skaty would appreciate that. So a year from now

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Speaker 2: they're going to be broken up. I'm all over the

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Speaker 2: act book.

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Speaker 1: Okay, all right, Dougie, are you ready for the award

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Speaker 1: winning shoosy?

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Speaker 2: Yeah, here we go, y on.

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Speaker 5: Rolls Morning Glory.

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Speaker 4: Carrie Elizabeth Romney, sister in law a former US Senator

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Speaker 4: Mitt Romney, was found dead Friday night, near a multi

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Speaker 4: story parking garage. This was in Valencia, California, which is

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Speaker 4: a suburb of La Now. Sheriff's investigators said the sixty

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Speaker 4: four year old may have fallen or even jumped from

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Speaker 4: the structure. No signs of foul play have been identified.

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Speaker 4: The Los Angeles County Medical Examiner listed the cause of

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Speaker 4: death is deferred, which is pending toxicology and fur their testing.

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Speaker 4: So a statement by Romney's office describe the family is

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Speaker 4: heartbroken and requested privacy while the investigation continues.

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Speaker 5: We have a.

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Speaker 4: Bizarre story about the CEO of lending Tree.

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Speaker 1: That is, I don't know what lending tree is exactly

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Speaker 1: other than I think I've heard of it.

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Speaker 2: I seen use, there's commercials or something.

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Speaker 4: It helps you find and compare mortgages or credit cards,

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Speaker 4: insurance and other financial products. So the CEO, his name

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Speaker 4: is Doug Lebda. He died over the weekend on Sunday

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Speaker 4: in an ATV accident on his family farm in North Carolina.

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Speaker 4: He was only fifty five years old. He founded lending

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Speaker 4: Tree in nineteen ninety six to simplify the simplify the

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Speaker 4: loan shopping process after getting frustrated when applying for his

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Speaker 4: first mortgage. The platform launched nationally in nineteen ninety eight

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Speaker 4: and went public in two thousand. So he had an

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Speaker 4: accident that killed him on it.

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Speaker 1: Was Was it like a little like a four wheeler?

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Speaker 1: Was it one of those things that I forget what

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Speaker 1: they're called, but they have like they're almost like doom

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Speaker 1: buggy sort of things. But those things are pretty wild.

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Speaker 1: I see people going nuts on those things. Was it

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Speaker 1: something like that?

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Speaker 2: Or I don't know the vehicle.

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Speaker 4: I know that when I was younger, a friend of

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Speaker 4: mine so stupid.

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Speaker 5: I can't believe.

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Speaker 4: I don't even know if my parents knew that I

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Speaker 4: was on it. But I was on a three wheeler. Yeah,

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Speaker 4: and you you have to lean into it. I didn't

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Speaker 4: know how to drive it, and we flipped it and

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Speaker 4: I sliced open. I still have a scar on my

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Speaker 4: kneecap sliced open my knee, and because we flipped it

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Speaker 4: and landed on a barb wire fence, and.

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Speaker 2: We could have died, like, oh, a lot of kids.

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Speaker 1: When I was horrible that I was on that, A

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Speaker 1: ton of kids actually died from riding three wheelers. They

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Speaker 1: outlawged three wheelers because they were so unstable now that

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Speaker 1: that's why all of them are four wheel now.

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Speaker 5: Yeah, when new TVs, but what he was driving.

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Speaker 2: It's very easy to flip those suckers.

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Speaker 5: When all terrain h DTV.

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Speaker 2: That's what ATV stands for. Yeah.

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Speaker 1: Elsewhere in the Alarest razor, somebody says, or side by

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Speaker 1: side somebody else says, Yeah, those those things are crazy,

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Speaker 1: Like I've seen people go completely nuts on those things.

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Speaker 1: And I don't know if maybe that's what he was

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Speaker 1: riding in or.

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Speaker 2: If it was just like a regular four wheeler or something.

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Speaker 2: All right, go on.

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Speaker 4: Taxpayers who requested a filing extension from the IRS earlier

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Speaker 4: this year must still submit their tax returns by October fifteenth,

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Speaker 4: which is tomorrow, despite the government's shutdown. The IRS said

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Speaker 4: the shutdown doesn't change federal income tax duties. About twenty

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Speaker 4: million Americans, or thirteen percent of all taxpayers, ask for

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Speaker 4: extensions each year. They give six extra months to file,

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Speaker 4: but don't exempt you from paying taxes owed by the

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Speaker 4: April fifteenth deadline. Half of the IRS workforce has been

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Speaker 4: on furlough since October eighth, but essential employees are still working.

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Speaker 4: So if you miss the October fifteenth deadline. The IRS

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Speaker 4: charges five percent of the amount due for each month

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Speaker 4: it's late, up to twenty five percent. So they said

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Speaker 4: that some residents of states including Arkansas, Tennessee, Kentucky, and

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Speaker 4: parts of West Virginia they have until November third file

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Speaker 4: because of some of the natural disasters that have happened

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Speaker 4: that would affect them. So they get a little bit

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Speaker 4: more of an extension. All right, what to eat if

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Speaker 4: you can't poop? What eases chronic constipation? Kiwis? Put kiwis

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Speaker 4: on your grocery list.

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Speaker 2: YEP.

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Speaker 5: New dietary guidelines from.

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Speaker 4: The British Dietetic Association published that kiwis, along with rye,

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Speaker 4: bread and certain supplements, can help improve your constipation symptoms.

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Speaker 4: The authors say that the first evidence based recommendations for

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Speaker 4: treating constipation with diet not medications.

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Speaker 5: So even though you said.

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Speaker 4: That mirra relax, uh huh, they're saying do diet first,

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Speaker 4: see instead, But a lot of people take mir relax

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Speaker 4: or what's the other one when you get older meta musal.

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Speaker 5: Yeah, meta musial and just do that every day to help.

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Speaker 2: Do you go to the bathroom every day? Yeah?

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Speaker 5: Every single day?

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Speaker 2: Yeah? Yeah, sometimes there's multiple times a day. Sometimes it's

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Speaker 2: too much.

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Speaker 4: Yeah, go on, definitely Kiwi's will help you with your constipation.

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Speaker 5: And we'll end with this.

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Speaker 4: Alec Baldwin and his brother are fine after they got

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Speaker 4: into a little accident they crashed. Alick crashed his SUV

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Speaker 4: into a tree yesterday while driving in East Hampton and

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Speaker 4: he was not injured. There was a statement that Baldeman

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Speaker 4: said a garbage truck the size of a whale cut

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Speaker 4: him off, forcing him to swerve to avoid hitting him.

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Speaker 4: He hit a tree. It was his wife's car. He

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Speaker 4: feels bad about that, but everyone is fine. And his

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Speaker 4: brother Stephen was with him at the time. So there's

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Speaker 4: a picture of them getting into that accident yesterday, but

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Speaker 4: everybody is okay.

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Speaker 5: There you go. That's the Hizzy on Rover's Morning Glory.

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Speaker 2: When the yit goes down, you better be watching.

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Speaker 3: RMG TV watch it live at Roverradio dot com.

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Speaker 2: I know you're a big investor.

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Speaker 1: Charlie and Stenzer too, By the way, they have extensive portfolios.

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Speaker 7: Live wide, different different companies, all sorts of different dividends, stocks, bonds.

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Speaker 1: I know the Arrays sixty Minutes had some story that

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Speaker 1: they did.

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Speaker 2: I was sitting at the airport.

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Speaker 1: I saw sixty minutes doing a story about I didn't

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Speaker 1: hear it.

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Speaker 2: The volume was off, but I know they were.

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Speaker 1: Doing some financial story talking about are we in an

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Speaker 1: AI bubble? Oh yeah, And there's a lot of people

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Speaker 1: have been talking about this. Because the stock market keeps

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Speaker 1: going up and up and up and up. All of

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Speaker 1: it is essentially driven by seven big tech companies. I

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Speaker 1: don't know, if I guess, I don't know. Are they

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Speaker 1: publicly traded opening but there?

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Speaker 2: I don't know.

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Speaker 7: I don't know if they are, but they are what's

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Speaker 7: driving the market every single day. They just jumped up.

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Speaker 7: They when they do a deal with the stock stock

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Speaker 7: jumps up. Who do they do a deal with yesterday?

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Speaker 7: Broad Com? Let's see it, broad Let's just you're gonna

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Speaker 7: see when they announced the deal.

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Speaker 2: Let's pull this. I don't think open it. Maybe they are.

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Speaker 2: I don't know.

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Speaker 1: I'm not not a big investor myself, but I know

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Speaker 1: that in Nvidia, who's a chip maker, they drive almost

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Speaker 1: all the stuff the stock market going up, as much

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Speaker 1: of it as it has is from like six or

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Speaker 1: seven different stocks, all tech stocks, and they are essentially

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Speaker 1: sort of doing deals with each other, giving money to

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Speaker 1: each other, and then that sort of reinforces the oh,

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Speaker 1: this is a great thing. And I don't know, I'm

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Speaker 1: not sophisticated enough to know whether we're in a bubble?

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Speaker 1: Can I remember I was working in Denver at the

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Speaker 1: time when the dot com bubble burst, and that was

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Speaker 1: when anybody that had dot com in their name, just

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Speaker 1: regular companies were just go, oh, let's let's take our

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Speaker 1: name and just throw a dot com at the end

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Speaker 1: and say that we're a tech company and our stock

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Speaker 1: will go through the roof.

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Speaker 2: And eventually people realized, well, there's not. There's just not.

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Speaker 2: All of these companies are not going to win.

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Speaker 1: And that's the worry right now that investors are investing

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Speaker 1: in a like every company who's involved in AI is

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Speaker 1: going to win it. And some of these companies aren't

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Speaker 1: even really they just they just put AI in their name.

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Speaker 7: Dam I mean the same thing as dot Com invested

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Speaker 7: in one. I remember it's called bear AI. Don't even

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Speaker 7: know what it is. Bear like a like a or

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Speaker 7: a bear like naked big bear like a bear animal

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Speaker 7: And that shot up?

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Speaker 2: What is that up?

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Speaker 7: Let's see if I can find how much it's up

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Speaker 7: in a month seventy three percent and going on that.

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Speaker 1: Okay, so let me, as a sophisticated investor yourself, tell

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Speaker 1: me what does bear AI do something?

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Speaker 7: Marjorie Taylor Green bought it, don't know she bought it,

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Speaker 7: and I bought it, you hand it went up seventy

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Speaker 7: two percent, seventy three percent.

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Speaker 2: Now do you think that?

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Speaker 1: So you're watching something some congressional stock tracker.

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Speaker 2: Is that?

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Speaker 7: That's how you actually have an auto trading? For me,

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Speaker 7: I put my money into this thing. Auto does it.

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Speaker 7: I give it a certain amount of money. I go

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Speaker 7: follow Nancy Pelosi's actual moves. And it's not a ETF

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Speaker 7: or whatever.

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Speaker 2: It's not.

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Speaker 7: This is managed. It's tracked, and it will actually take

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Speaker 7: my money. It will sell certain stocks if things start underperforming,

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Speaker 7: and then some Nancy Plos will announce.

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Speaker 2: Oh I just bought a bunch of Microsoft.

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Speaker 7: Mine will then switch it over and go, all right,

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Speaker 7: we're gonna put some more money in Microsoft Microsoft.

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Speaker 2: So I'm doing that. I have money in that. I'm

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Speaker 2: following that.

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Speaker 1: What I'm gonna ask you is that investment strategy there

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Speaker 1: there are there's a delay in the there is a

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Speaker 1: delay three months or something. I think it's three months

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Speaker 1: every quarter.

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Speaker 7: Yeah, so there is a delay, but once it's announced,

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Speaker 7: it shoots up, right.

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Speaker 1: But my question is does it shoot up because everybody

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Speaker 1: else is doing what you're doing and that's what makes

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Speaker 1: it go up.

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Speaker 7: Probably, And it's all hype, that's all it is. Yeah,

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Speaker 7: so you just got to follow the You're gonna follow

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Speaker 7: the hype train. So I'm doing that. I'm following three

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Speaker 7: different things that way. I've got any Pelosi. I have

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Speaker 7: one called unusual stock politicians or something, and all of

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Speaker 7: is is this one specifically, is when a politician buys

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Speaker 7: some weird stock, not yeah, like that's strange. Why do

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Speaker 7: they just buy this weird grain company in the middle

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Speaker 7: of Nebraska that nobody's ever heard of. Well then it

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Speaker 7: turns out there on the board of Agriculture or something,

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Speaker 7: and then some deals struck up up so that one

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Speaker 7: I'm on that, and then some other one. I don't

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Speaker 7: even know this guy, but it seems to be performing.

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Speaker 7: Jim Simon's I don't know who that is. He's a

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Speaker 7: fund manager. I can just follow what he says. So

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Speaker 7: three those I guess he's wait, he died, Charlie's just

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Speaker 7: doing his research. He performing pretty good though, but he's dead.

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Speaker 2: He's making my trade. He's definitely doing good.

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Speaker 7: And then the other thing I'm doing, so then that's

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Speaker 7: some of my money.

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Speaker 2: Say that's.

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Speaker 7: Fifty of my portfolio is doing that. It's out there,

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Speaker 7: it's it's auto doing it. Then the other ones are

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Speaker 7: I'm personally picking. I go, that looks good, Okay, Like

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Speaker 7: I I got lucky, and I put a bunch of

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Speaker 7: money into AMD like two weeks ago, not in video amdright,

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Speaker 7: And I remember I told Sincher, I was like, I

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Speaker 7: spot AMD and it's like ew because I think he's

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Speaker 7: an in video guy. And I was like, I don't

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Speaker 7: know why I bought it, but I think maybe they'll

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Speaker 7: do a deal with open ai or something. Literally a

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Speaker 7: week later did a deal with open ai to get

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Speaker 7: more chips. Shot up thirty percent overnight. So do you

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Speaker 7: hold on to that or do you sell it? Really,

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Speaker 7: I don't know what to do because it's still rising,

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Speaker 7: it's still going up, and I think I should probably.

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Speaker 2: Sell that one because I just I really lucky.

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Speaker 7: Guess I don't know why I picked that because in

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Speaker 7: Vidio doesn't stop, it just keeps going up.

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Speaker 2: It's the it's the the.

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Speaker 7: Most expensive company in the world right now, right, most valuable,

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Speaker 7: most valuable? Sorry, yeah, even better than Apple. What I

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Speaker 7: don't really know what it is. Chips, Well, they make

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Speaker 7: GPUs primarily, which are used in AI.

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Speaker 1: Now they're getting a little more specialized in AI stuff,

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Speaker 1: but they basically all the AI data centers are using

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Speaker 1: in video chips. But I don't know, man, I kind

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Speaker 1: of have a feeling like again, I don't know much

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Speaker 1: about this stuff. But they used to be like you'd

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Speaker 1: look at a company and go, okay, this company.

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Speaker 2: Has you know.

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Speaker 1: You you look at how what their earnings are and

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Speaker 1: what their total value is. Their market cap like is

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Speaker 1: you know, twenty times thirty times, forty times earnings. You

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Speaker 1: have companies now that their market cap is like five

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Speaker 1: hundred times their annual earnings, And I just hit in,

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Speaker 1: get out, keep getting in and get out. That's what

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Speaker 1: you're sitting there sticking. Move you will be stuck with

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Speaker 1: the bubble. So, I mean, I don't know much. But

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Speaker 1: also diversify. You gotta have a diversified portfolio. Can't put

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Speaker 1: all your eggs in one basket, Snitzer, one of yours

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Speaker 1: hot stock tips.

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Speaker 2: Do you think we're in an AI bubble right now.

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Speaker 8: Uh maybe yeah, I mean it's just going to go

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Speaker 8: up from here, but it will burst eventually, I'm sure.

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Speaker 2: So when it does.

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Speaker 1: When you say it's only going to go up from here,

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Speaker 1: but a bubble bursts and then.

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Speaker 2: Not in near future, how how long do we have

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Speaker 2: until it burst? We haven't even seen anything yet.

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Speaker 8: What do you mean like in AI stuff that's barely

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Speaker 8: we've barely scratched the surface.

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Speaker 2: So we're like maybe at the beginning of it.

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Speaker 1: And I think this is what some of the critics

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Speaker 1: are saying is people are investing in AI like everybody

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Speaker 1: in the AI space is going to succeed. But if

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Speaker 1: you look at social media, how many companies actually succeeded

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Speaker 1: in social media?

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Speaker 2: That's what's important. You should.

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Speaker 7: I would if it was me contrary and things that

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Speaker 7: are people are investing in open ai whatever open ai,

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Speaker 7: they're not going to fail, and the backbone stuff like

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Speaker 7: right after they're not going to fail.

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Speaker 2: There're not gonna be the The're not going to be

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Speaker 2: but they could. They're not gonna be the first to fail.

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Speaker 7: They could, but I think they have a lot of

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Speaker 7: government contracts, they have a lot of stuff going on

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Speaker 7: where They're just not going to be allowed to fail.

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Speaker 1: And I say, like one social media company primarily UH

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Speaker 1: succeeded over the past twenty years, and that was Facebook.

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Speaker 2: Now Meta.

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Speaker 1: If you go, oh, they're not going to fail, remember

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Speaker 1: my Space they failed. They were huge and then they fail.

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Speaker 1: A lot of these companies they get huge and then

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Speaker 1: they do indeed failed because somebody else comes along with

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Speaker 1: an incredible product.

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Speaker 7: That's way open ai will will be the one left

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Speaker 7: standing at first. Then there could be some other company

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Speaker 7: that comes in, but open ai will be there.

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Speaker 2: That's what everybody talks.

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Speaker 7: When people say UH, they don't say AI it, they

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Speaker 7: say chat gpt it. That's the Google right now, the Kleenex.

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Speaker 7: Nobody says, oh, I used the deep seat to look

444
00:21:50,840 --> 00:21:53,560
Speaker 7: this up. Nobody says that, note I used Gemini notes

445
00:21:53,640 --> 00:21:56,600
Speaker 7: chat GPT every single time. What are kids cheating with

446
00:21:57,080 --> 00:21:59,520
Speaker 7: chat GPT? They're not cheating with anything else they might be.

447
00:21:59,680 --> 00:22:02,479
Speaker 7: But every he knows the one company. You could go

448
00:22:02,520 --> 00:22:06,240
Speaker 7: ask your parents or anybody, what's AI, Well, it's chat cheapt.

449
00:22:07,240 --> 00:22:10,840
Speaker 1: And are they are they publicly traded?

450
00:22:10,960 --> 00:22:13,320
Speaker 2: I don't think they are, So you can't okay, so

451
00:22:13,320 --> 00:22:14,240
Speaker 2: you can't invest in them?

452
00:22:14,320 --> 00:22:16,600
Speaker 7: But every time they do this one of those deals,

453
00:22:17,840 --> 00:22:18,679
Speaker 7: it just keeps going up.

454
00:22:18,840 --> 00:22:22,880
Speaker 8: Any technology related to them, like in video. Whatever's to invest.

455
00:22:22,600 --> 00:22:25,800
Speaker 1: In coolant data center.

456
00:22:25,520 --> 00:22:27,119
Speaker 2: Builders, the guy who's coolant.

457
00:22:27,160 --> 00:22:29,560
Speaker 1: You need a lot of copper to build a data center,

458
00:22:30,280 --> 00:22:33,959
Speaker 1: tabling and stuff. So all right, there you go, some

459
00:22:34,080 --> 00:22:36,840
Speaker 1: investment advice from us. I'm not as uh, well.

460
00:22:36,720 --> 00:22:36,960
Speaker 2: It's not.

461
00:22:38,480 --> 00:22:41,000
Speaker 7: I'm not giving you advice. Yea, Mine's not investment advice.

462
00:22:41,040 --> 00:22:43,960
Speaker 7: I'm telling you what I'm doing, that's all I'm saying. Okay, yeah,

463
00:22:43,960 --> 00:22:46,639
Speaker 7: mine's more slow and steady. I I invest in like

464
00:22:46,760 --> 00:22:50,919
Speaker 7: ETF dividend ETFs, like the Schwab one that give me

465
00:22:50,920 --> 00:22:52,120
Speaker 7: four percent every month.

466
00:22:52,520 --> 00:22:56,280
Speaker 2: But it's slow, you know, but that's good. Slow and steady.

467
00:22:56,520 --> 00:23:00,639
Speaker 8: Invest in the top one hundred dividend stocks, so I

468
00:23:00,680 --> 00:23:02,840
Speaker 8: reinvest that dividend back into this doc.

469
00:23:02,920 --> 00:23:06,040
Speaker 7: Speaking of as, I'm up fifty seven percent for the year,

470
00:23:06,520 --> 00:23:10,680
Speaker 7: which sounds great and it is, but that's also because

471
00:23:10,680 --> 00:23:12,480
Speaker 7: at the beginning of the year we had a major

472
00:23:12,880 --> 00:23:15,680
Speaker 7: Remember how low it Aftergether I think everything got really

473
00:23:15,760 --> 00:23:20,800
Speaker 7: low around January for some reason, and everything went it tanked.

474
00:23:21,320 --> 00:23:22,920
Speaker 2: So I've recovered.

475
00:23:22,560 --> 00:23:24,919
Speaker 8: Uh huh, okay, and that I've you talking about my

476
00:23:24,960 --> 00:23:27,920
Speaker 8: crypto crystal in the.

477
00:23:27,840 --> 00:23:32,520
Speaker 2: Past few days. He went back up and it dropped

478
00:23:32,520 --> 00:23:35,320
Speaker 2: back down. Yeah, that's what it does. It's up and down.

479
00:23:35,359 --> 00:23:36,359
Speaker 2: He can't be looking at.

480
00:23:36,160 --> 00:23:42,200
Speaker 1: The day by the dip okay, speaking of AI and technology.

481
00:23:42,320 --> 00:23:44,400
Speaker 1: I was just reading something and I want to see

482
00:23:44,400 --> 00:23:46,359
Speaker 1: if Charlie, maybe you can find some video of this.

483
00:23:46,440 --> 00:23:48,399
Speaker 2: But I was not aware of this.

484
00:23:48,520 --> 00:23:52,320
Speaker 1: But the CEO of Ford went over to China a

485
00:23:52,359 --> 00:23:54,919
Speaker 1: few months ago and he came back. He goes, WHOA,

486
00:23:55,880 --> 00:23:59,159
Speaker 1: We're in big, big trouble. And I was reading something

487
00:23:59,200 --> 00:24:02,600
Speaker 1: that says the headline is why Western executives who visit

488
00:24:02,720 --> 00:24:06,600
Speaker 1: China are coming back terrified? Like what what is this

489
00:24:06,640 --> 00:24:09,960
Speaker 1: all about? What are they terrified about? I'll explain it

490
00:24:10,000 --> 00:24:12,000
Speaker 1: in just a minute. And if you have a job

491
00:24:12,200 --> 00:24:16,360
Speaker 1: working and manufacturing, maybe you should be terrified too.

492
00:24:16,400 --> 00:24:24,400
Speaker 2: We'll be right back hanging on, depressed, paranoid. You'll fit

493
00:24:24,640 --> 00:24:25,520
Speaker 2: right in with us.

494
00:24:26,200 --> 00:24:30,000
Speaker 6: Now back to rovers morning glory.

495
00:24:33,400 --> 00:24:37,040
Speaker 1: I was reading something last night. Excuse me. The headline

496
00:24:37,200 --> 00:24:44,880
Speaker 1: is why Western executives who visit China are coming back terrified?

497
00:24:45,680 --> 00:24:47,840
Speaker 2: You what could that? Before I read it, I go, what.

498
00:24:47,840 --> 00:24:54,560
Speaker 1: Are they coming back terrified terry, what's so, what's so

499
00:24:55,040 --> 00:24:59,800
Speaker 1: terrifying about it? And they quote the CEO of four

500
00:25:00,880 --> 00:25:04,960
Speaker 1: His name is Jim Farley. He went to China earlier

501
00:25:05,000 --> 00:25:08,680
Speaker 1: in the year and he said, quote, it's the most

502
00:25:08,800 --> 00:25:14,000
Speaker 1: humbling thing I've ever seen. He was astonished by the

503
00:25:14,080 --> 00:25:19,280
Speaker 1: technical innovations that are in Chinese factories, and not only

504
00:25:19,320 --> 00:25:23,040
Speaker 1: their factories, but in their cars, self driving tech, facial recognition,

505
00:25:24,440 --> 00:25:27,600
Speaker 1: and he said back in July, their cost and the

506
00:25:27,680 --> 00:25:31,679
Speaker 1: equality of their vehicles is far superior to what I

507
00:25:31,720 --> 00:25:34,600
Speaker 1: see in the West, meaning what he's producing and what

508
00:25:34,760 --> 00:25:38,359
Speaker 1: all of our companies are producing. We are in a

509
00:25:38,400 --> 00:25:41,680
Speaker 1: global competition with China, and it's not just evs. If

510
00:25:41,680 --> 00:25:44,719
Speaker 1: we lose this, we do not have a future at Ford.

511
00:25:45,240 --> 00:25:50,560
Speaker 1: He says. That's a pretty ominous warning. So what got

512
00:25:50,640 --> 00:25:53,679
Speaker 1: him so riled up? Well, even just some of the

513
00:25:53,720 --> 00:25:55,600
Speaker 1: pictures in this article. I don't know if you have

514
00:25:55,640 --> 00:25:58,080
Speaker 1: them since, but I mean you get to see some

515
00:25:58,119 --> 00:26:00,199
Speaker 1: of the factories that they have over there. They have

516
00:26:00,240 --> 00:26:04,280
Speaker 1: so many robots that there are no people building these cars.

517
00:26:04,400 --> 00:26:07,520
Speaker 1: These I mean there's very very few people building the cars.

518
00:26:07,560 --> 00:26:12,480
Speaker 1: Like I see factories here on TV. We're building engines

519
00:26:12,520 --> 00:26:15,119
Speaker 1: and cars and things like that, and we certainly have

520
00:26:15,280 --> 00:26:17,679
Speaker 1: robots on the line, there's no doubt about that, but

521
00:26:18,600 --> 00:26:20,600
Speaker 1: it is not what they have over in China. They

522
00:26:20,680 --> 00:26:24,760
Speaker 1: literally have factories where there's nobody in there working. They

523
00:26:24,800 --> 00:26:28,840
Speaker 1: even describe in this article what they call dark factories.

524
00:26:30,119 --> 00:26:35,000
Speaker 1: That is huge factories where electronics and other things are

525
00:26:35,000 --> 00:26:39,119
Speaker 1: being manufactured solely by robots. Just robots are in their

526
00:26:39,160 --> 00:26:42,800
Speaker 1: building things and they don't even turn the lights on

527
00:26:42,960 --> 00:26:43,560
Speaker 1: in the factory.

528
00:26:43,560 --> 00:26:46,040
Speaker 2: They're in the pitch black because.

529
00:26:45,760 --> 00:26:48,360
Speaker 1: The robots don't need the light to see, and there

530
00:26:48,400 --> 00:26:51,240
Speaker 1: are no humans there to actually do anything.

531
00:26:50,960 --> 00:26:51,600
Speaker 2: In the factory.

532
00:26:51,680 --> 00:26:52,240
Speaker 5: That's crazy.

533
00:26:52,320 --> 00:26:53,720
Speaker 2: So there are no lights in as.

534
00:26:53,560 --> 00:26:55,800
Speaker 1: They build all these no low lights are on as

535
00:26:55,800 --> 00:26:57,040
Speaker 1: they build all of these things.

536
00:26:58,400 --> 00:27:02,160
Speaker 2: They have. Obviously we've seen like humanoid robots.

537
00:27:02,160 --> 00:27:07,000
Speaker 1: We've seen like here, some like janky herky jerky humanoid robots.

538
00:27:07,040 --> 00:27:11,680
Speaker 1: They're actually deploying humanoid robots over there in China and

539
00:27:11,840 --> 00:27:18,840
Speaker 1: far more just I mean, incredibly technically sophisticated stuff. And

540
00:27:19,160 --> 00:27:22,320
Speaker 1: they are pulling ahead of the United States, which is

541
00:27:23,040 --> 00:27:27,560
Speaker 1: like way ahead, which is very concerning. You know, we've

542
00:27:27,560 --> 00:27:32,600
Speaker 1: talked about bringing factory jobs back, and certainly in this

543
00:27:32,720 --> 00:27:36,840
Speaker 1: area where our flagship station is. Manufacturing and factories were

544
00:27:36,920 --> 00:27:41,119
Speaker 1: very important. If you go to someplace like Pittsburgh or

545
00:27:41,160 --> 00:27:43,320
Speaker 1: anywhere where they're you know, they would have all these

546
00:27:43,320 --> 00:27:48,320
Speaker 1: factories and steel mills and things like that. And people always,

547
00:27:48,800 --> 00:27:52,840
Speaker 1: I think it's fantasy to believe that we're just going

548
00:27:52,920 --> 00:27:55,560
Speaker 1: to fire up all these brand new factories in the

549
00:27:55,640 --> 00:27:57,800
Speaker 1: United States and we're just going to put a bunch

550
00:27:57,800 --> 00:28:00,000
Speaker 1: of people to work in there like the good old days.

551
00:28:00,520 --> 00:28:04,359
Speaker 1: That's not how it's going to happen. Robots are going

552
00:28:04,440 --> 00:28:06,920
Speaker 1: to be working in those factories. And the factory is

553
00:28:06,960 --> 00:28:09,040
Speaker 1: so huge. They said, it's the size in China, the

554
00:28:09,080 --> 00:28:13,320
Speaker 1: size of San Francisco. What do you mean the size

555
00:28:13,320 --> 00:28:14,160
Speaker 1: of San Francisco.

556
00:28:14,280 --> 00:28:17,359
Speaker 7: What I said, the factory is literally the size of

557
00:28:17,359 --> 00:28:18,080
Speaker 7: San Francisco.

558
00:28:20,960 --> 00:28:23,040
Speaker 1: I must be missing something here or there's got to

559
00:28:23,080 --> 00:28:27,879
Speaker 1: be like some weird thing where the actual square foot

560
00:28:28,000 --> 00:28:34,040
Speaker 1: acreage of the city proper of San Francisco is very small,

561
00:28:34,080 --> 00:28:38,520
Speaker 1: but all of these surrounding suburbs which are technically different cities.

562
00:28:38,560 --> 00:28:42,520
Speaker 1: I mean, I mean, a factory the size of San Francisco.

563
00:28:42,680 --> 00:28:46,960
Speaker 1: I'm going to need some more context for that. But

564
00:28:49,320 --> 00:28:52,320
Speaker 1: so even the factories themselves. You go, well, we'll have

565
00:28:52,360 --> 00:28:56,040
Speaker 1: people building the factories. Sure, it's going to require some

566
00:28:56,160 --> 00:29:00,440
Speaker 1: humans to do that, no doubt. But as construction moves forward,

567
00:29:01,160 --> 00:29:04,360
Speaker 1: more and more construction tasks are also going to be

568
00:29:04,400 --> 00:29:08,240
Speaker 1: completed by robots, especially when it's a factory, and you go, Okay,

569
00:29:08,240 --> 00:29:11,160
Speaker 1: it's just we're building a big box essentially, and it's

570
00:29:11,240 --> 00:29:14,320
Speaker 1: to very these specifications, and we can build fifty of

571
00:29:14,320 --> 00:29:17,440
Speaker 1: these big boxes around the country. More and more of

572
00:29:17,480 --> 00:29:20,200
Speaker 1: that is going to be automated, but they're going to

573
00:29:20,280 --> 00:29:22,760
Speaker 1: need people to run the factories and do things. But

574
00:29:24,280 --> 00:29:27,600
Speaker 1: according to this article, what I'm reading is they have

575
00:29:27,640 --> 00:29:29,560
Speaker 1: these huge factories, the ones that don't even have the

576
00:29:29,640 --> 00:29:33,240
Speaker 1: lights on. The robots are making everything, and they do

577
00:29:33,320 --> 00:29:36,560
Speaker 1: have a few people in a control room that just

578
00:29:36,720 --> 00:29:41,200
Speaker 1: make sure like, oh, robot number eighty nine hasn't broken down.

579
00:29:41,960 --> 00:29:45,440
Speaker 1: That's it. That's all they do. So I think that's

580
00:29:45,480 --> 00:29:49,560
Speaker 1: the future of our manufacturing. I don't know, it's just

581
00:29:50,360 --> 00:29:53,320
Speaker 1: pretty crazy. Now, Charlie, you pulled a video. What is

582
00:29:53,360 --> 00:29:54,720
Speaker 1: this dolphin factory?

583
00:29:54,720 --> 00:29:55,280
Speaker 2: What does that mean?

584
00:29:55,440 --> 00:29:57,160
Speaker 7: I think that one might be an England side would

585
00:29:57,240 --> 00:30:00,000
Speaker 7: play the one save to another one. It's called China

586
00:30:00,120 --> 00:30:02,440
Speaker 7: a dark factory. Okay, and this is from the Wall

587
00:30:02,520 --> 00:30:06,120
Speaker 7: Street Journal. All right, here is this video.

588
00:30:06,160 --> 00:30:09,320
Speaker 1: You can always fire up RMGTV at roverradio dot com

589
00:30:09,440 --> 00:30:11,920
Speaker 1: or with the Rover Radio app on your phone, your tablet,

590
00:30:12,040 --> 00:30:15,600
Speaker 1: or your TV. And if you want to get RMG

591
00:30:15,720 --> 00:30:18,760
Speaker 1: Plus you can do that sign up at roverradio dot com.

592
00:30:18,760 --> 00:30:21,120
Speaker 1: Then you can watch or listen to the aftermath as

593
00:30:21,120 --> 00:30:25,080
Speaker 1: they continue Monday through Monday through Thursday. After the main

594
00:30:25,120 --> 00:30:27,200
Speaker 1: show they do the aftermath. We all stick around on

595
00:30:27,240 --> 00:30:30,760
Speaker 1: Fridays for the Friday leftover, so you get that additional content.

596
00:30:30,800 --> 00:30:34,360
Speaker 1: You can get the RMGTV archives if you're an RMG

597
00:30:34,440 --> 00:30:38,520
Speaker 1: plus subscriber. Here is a little bit of a dark factory.

598
00:30:38,520 --> 00:30:40,320
Speaker 1: Now I've not seen any video of this, so this

599
00:30:40,360 --> 00:30:42,040
Speaker 1: is one of these factories that I was talked about

600
00:30:42,040 --> 00:30:43,280
Speaker 1: where they just don't have lights on.

601
00:30:43,400 --> 00:30:43,840
Speaker 6: Huh.

602
00:30:44,200 --> 00:30:47,320
Speaker 9: All right, here it is with lights dimmed and no

603
00:30:47,520 --> 00:30:51,479
Speaker 9: workers in sight. This car factory in China uses hundreds

604
00:30:51,520 --> 00:30:54,480
Speaker 9: of robots to churn out dozens of electric vehicles an

605
00:30:54,560 --> 00:30:56,040
Speaker 9: hour twenty four to seven.

606
00:30:57,920 --> 00:30:58,480
Speaker 2: This is a.

607
00:30:58,520 --> 00:31:02,560
Speaker 9: Dark factory of the plants, so automated and with so

608
00:31:02,760 --> 00:31:06,720
Speaker 9: little human presence that in theory the lights could be

609
00:31:06,760 --> 00:31:10,600
Speaker 9: completely shut off. Factories like this one are part of

610
00:31:10,680 --> 00:31:14,160
Speaker 9: China's bid to use hyper automation to dominate the electric

611
00:31:14,280 --> 00:31:18,240
Speaker 9: vehicle or evy market, But the furious trade war between

612
00:31:18,320 --> 00:31:21,720
Speaker 9: Washington and Beijing raises a key question, who is going

613
00:31:21,800 --> 00:31:24,600
Speaker 9: to buy all these new cars?

614
00:31:25,640 --> 00:31:27,520
Speaker 2: Who is going to buy all those new cars if

615
00:31:27,560 --> 00:31:28,560
Speaker 2: they are Wait.

616
00:31:28,240 --> 00:31:30,840
Speaker 5: Did you see how those workers in the sewing factory?

617
00:31:31,000 --> 00:31:32,480
Speaker 1: But I think that this is what they're going to

618
00:31:32,560 --> 00:31:35,800
Speaker 1: do here and show frame. This is what it used

619
00:31:35,840 --> 00:31:40,000
Speaker 1: to look like fifty years ago or twenty years ago.

620
00:31:40,400 --> 00:31:42,560
Speaker 1: This is just this is how they would automate in China.

621
00:31:42,600 --> 00:31:44,600
Speaker 1: They go get a bunch of peasants and put them

622
00:31:44,600 --> 00:31:45,800
Speaker 1: behind sewing machines.

623
00:31:46,560 --> 00:31:47,360
Speaker 2: How they're doing it now.

624
00:31:47,400 --> 00:31:51,280
Speaker 9: Decades The abundance of cheap labor explained why China was

625
00:31:51,320 --> 00:31:55,280
Speaker 9: seen as the world's factory floor, but the economy is changing.

626
00:31:55,520 --> 00:31:58,840
Speaker 10: The labor cars had been going up in China for

627
00:31:58,920 --> 00:32:00,920
Speaker 10: many years as they could have, and faster than many

628
00:32:00,920 --> 00:32:02,880
Speaker 10: people in the West expected, and so if you're a

629
00:32:02,880 --> 00:32:05,120
Speaker 10: factory owner, you want to find a way to blunt

630
00:32:05,240 --> 00:32:08,360
Speaker 10: the impact of that, and the automation is one very

631
00:32:08,400 --> 00:32:10,160
Speaker 10: obvious way rapid.

632
00:32:09,880 --> 00:32:13,959
Speaker 9: Advancements in robotization has helped create what is now known

633
00:32:14,120 --> 00:32:15,480
Speaker 9: as dark factories.

634
00:32:18,480 --> 00:32:22,120
Speaker 1: So you're saying they have eight hundred robots working simultaneously

635
00:32:22,360 --> 00:32:25,720
Speaker 1: in their welding workshop. This is the vice president of

636
00:32:25,880 --> 00:32:29,480
Speaker 1: zeker zee k R. Is that a type of car

637
00:32:29,560 --> 00:32:33,320
Speaker 1: that they have over there, Zeker. I know that this

638
00:32:33,400 --> 00:32:38,760
Speaker 1: company byd they apparently a very sophisticated and advanced cars.

639
00:32:38,840 --> 00:32:40,760
Speaker 1: Now they don't sell them here in the United States.

640
00:32:41,280 --> 00:32:44,280
Speaker 1: They sell them in all sorts of all around the world,

641
00:32:44,360 --> 00:32:48,080
Speaker 1: but not in the United States, and they're supposed to

642
00:32:48,160 --> 00:32:49,280
Speaker 1: be incredible.

643
00:32:50,160 --> 00:32:53,880
Speaker 2: You're right in there, Charlie. All right, you're farting or something.

644
00:32:53,920 --> 00:32:57,400
Speaker 7: No, no, I blew my back out, Yestery, you blew

645
00:32:57,480 --> 00:33:00,320
Speaker 7: your bag backs done? That's done, right now, I just

646
00:33:00,360 --> 00:33:02,120
Speaker 7: switch out. I just switched out of my chair, my

647
00:33:02,200 --> 00:33:02,840
Speaker 7: normal chair.

648
00:33:03,480 --> 00:33:07,080
Speaker 2: I to not good. I can't sit right now. I'm

649
00:33:07,080 --> 00:33:07,560
Speaker 2: in pain.

650
00:33:07,680 --> 00:33:10,840
Speaker 1: All right, So how did you blow your back out yesterday?

651
00:33:12,320 --> 00:33:15,680
Speaker 2: That's good, It's really good. If you want to want

652
00:33:15,720 --> 00:33:17,680
Speaker 2: to hear I let me think.

653
00:33:17,800 --> 00:33:20,480
Speaker 1: Okay, so you were playing naked twister with some other

654
00:33:20,520 --> 00:33:24,280
Speaker 1: guys in the neighborhood and you tried to put your

655
00:33:24,280 --> 00:33:25,800
Speaker 1: hand on green Yes.

656
00:33:25,720 --> 00:33:27,880
Speaker 2: Yeah, yeah, no, I was.

657
00:33:28,240 --> 00:33:30,480
Speaker 7: I walked up the stairs here at work, took her

658
00:33:30,520 --> 00:33:33,200
Speaker 7: to the parking grush stop it and then the back

659
00:33:33,320 --> 00:33:33,760
Speaker 7: just went.

660
00:33:34,520 --> 00:33:35,880
Speaker 2: He slipped and fell down the stairs.

661
00:33:36,240 --> 00:33:38,120
Speaker 7: Just I was walking. I was walking, I was leaving

662
00:33:38,160 --> 00:33:40,520
Speaker 7: here yesterday. And then I was walking to my car.

663
00:33:41,120 --> 00:33:45,120
Speaker 7: I took a step too aggressively. I took an aggressive step,

664
00:33:45,320 --> 00:33:48,920
Speaker 7: and I just immediately felt a pinch, and I go, oh, no,

665
00:33:49,040 --> 00:33:50,520
Speaker 7: this is gonna be a problem for like a week.

666
00:33:50,600 --> 00:33:52,960
Speaker 1: When you say an aggressive step, you so you put

667
00:33:53,000 --> 00:33:56,960
Speaker 1: one foot in front of the other and.

668
00:33:56,240 --> 00:34:00,240
Speaker 7: Elevated myself up one stair one not the staircase, it's

669
00:34:00,280 --> 00:34:01,840
Speaker 7: just one specific I don't know whi's there.

670
00:34:01,920 --> 00:34:04,360
Speaker 2: But when I did it, just the back went.

671
00:34:04,480 --> 00:34:09,040
Speaker 7: Ah. And then then yesterday I laid around a lot

672
00:34:09,040 --> 00:34:11,560
Speaker 7: and it didn't really hurt. But now that I'm back here,

673
00:34:11,920 --> 00:34:13,920
Speaker 7: this is I'm in pain, a lot of pain.

674
00:34:14,160 --> 00:34:16,440
Speaker 2: So being here at work is causing you pain, just

675
00:34:16,480 --> 00:34:18,400
Speaker 2: being in the wrong, just in the chair. If I

676
00:34:18,400 --> 00:34:20,799
Speaker 2: could lay down, I feel much better. If you stand up,

677
00:34:20,880 --> 00:34:21,239
Speaker 2: was it better?

678
00:34:22,000 --> 00:34:22,400
Speaker 9: Uh?

679
00:34:23,280 --> 00:34:30,400
Speaker 2: Try and let's see it is now.

680
00:34:31,000 --> 00:34:31,040
Speaker 4: No.

681
00:34:31,320 --> 00:34:34,600
Speaker 2: If I could bring the mic up here, I think yeah,

682
00:34:34,640 --> 00:34:40,919
Speaker 2: But talking to the mics. Do you stretch it all? Ever?

683
00:34:41,239 --> 00:34:41,319
Speaker 3: No?

684
00:34:41,440 --> 00:34:42,480
Speaker 2: And then I think what else?

685
00:34:43,080 --> 00:34:45,280
Speaker 7: Saturday and Sunday I was helping my friends do drywall

686
00:34:45,320 --> 00:34:46,880
Speaker 7: and I don't know what I'm doing with that, but

687
00:34:46,920 --> 00:34:49,680
Speaker 7: there's there's a lot of lifting with the drywall ceiling

688
00:34:50,239 --> 00:34:52,799
Speaker 7: and oh, she I mean so.

689
00:34:53,239 --> 00:34:55,919
Speaker 2: That's what it was up. Well, yeah, this is why.

690
00:34:56,920 --> 00:34:57,279
Speaker 2: That's why.

691
00:34:57,400 --> 00:35:00,440
Speaker 1: I I'm not sure if that's what triggered my frozen

692
00:35:00,480 --> 00:35:03,760
Speaker 1: shoulder was from being in bankruptcy box with my hands.

693
00:35:03,960 --> 00:35:06,000
Speaker 1: It sounds so stupid. I can raise my right arm

694
00:35:06,040 --> 00:35:08,279
Speaker 1: over right, but I was doing stuff with my left

695
00:35:08,280 --> 00:35:11,720
Speaker 1: and I'm really doing stuff and just it doesn't seem

696
00:35:11,800 --> 00:35:14,719
Speaker 1: like much and you can make fun all you want,

697
00:35:14,760 --> 00:35:17,279
Speaker 1: but I was there for like three days straight with

698
00:35:17,320 --> 00:35:20,680
Speaker 1: my arms above my head for like eight hours a day,

699
00:35:21,040 --> 00:35:21,760
Speaker 1: and we did.

700
00:35:21,640 --> 00:35:23,160
Speaker 2: Two days straight. Yeah.

701
00:35:23,360 --> 00:35:25,480
Speaker 7: The problem is we had a drywall lift, so we

702
00:35:25,480 --> 00:35:27,480
Speaker 7: weren't even holding the really the drywall up. It was

703
00:35:27,480 --> 00:35:29,840
Speaker 7: a lot of picking the dry wall up, putting it

704
00:35:29,880 --> 00:35:31,920
Speaker 7: on the lift, cutting the drywall.

705
00:35:31,960 --> 00:35:33,040
Speaker 2: It's a drywall lift.

706
00:35:33,040 --> 00:35:35,920
Speaker 7: I'm unfamiliar with the device that will put it up

707
00:35:36,200 --> 00:35:38,439
Speaker 7: for it. You crank it up and then it will

708
00:35:38,480 --> 00:35:39,799
Speaker 7: press it so you don't have to hold it the

709
00:35:39,800 --> 00:35:42,279
Speaker 7: whole time, and you're screwing it in, screwing it in.

710
00:35:42,680 --> 00:35:45,680
Speaker 7: Your arm is up and you're on ladders. I'm stretching

711
00:35:45,760 --> 00:35:47,400
Speaker 7: weird ways because I don't want to move the ladder.

712
00:35:47,760 --> 00:35:49,560
Speaker 7: So you're trying to go, can I can I get

713
00:35:49,600 --> 00:35:51,360
Speaker 7: this one? And then you're just there's a lot of

714
00:35:51,400 --> 00:35:55,640
Speaker 7: movement and more physical work than my body is used to.

715
00:35:55,760 --> 00:35:59,080
Speaker 1: And you wonder why American manufacturing is in the toilet

716
00:35:59,719 --> 00:36:00,880
Speaker 1: the whole this is.

717
00:36:00,760 --> 00:36:03,400
Speaker 2: This is our labor force in action right here. It

718
00:36:03,560 --> 00:36:04,200
Speaker 2: was not so.

719
00:36:06,280 --> 00:36:08,040
Speaker 7: I mean I felt kind of sore the next day

720
00:36:08,080 --> 00:36:10,640
Speaker 7: after that, but it wasn't I wasn't in pain. Yeah,

721
00:36:11,440 --> 00:36:14,319
Speaker 7: the pain came from walking up the stairs. I don't

722
00:36:14,320 --> 00:36:16,919
Speaker 7: know if that's something that triggered it. Yeah, I don't

723
00:36:16,920 --> 00:36:18,680
Speaker 7: know if it was. I don't dry well even had

724
00:36:18,680 --> 00:36:20,799
Speaker 7: anything to do with it. But yeah, I'm not doing

725
00:36:20,840 --> 00:36:21,360
Speaker 7: hot today.

726
00:36:21,400 --> 00:36:22,080
Speaker 2: I saw a video.

727
00:36:22,120 --> 00:36:25,800
Speaker 1: I don't know anything about drywall, literally nothing about drywall,

728
00:36:25,840 --> 00:36:29,560
Speaker 1: but for some reason on Facebook or TikTok or something

729
00:36:30,760 --> 00:36:32,920
Speaker 1: maybe just talking about it on the show. Like a

730
00:36:33,000 --> 00:36:36,239
Speaker 1: year ago, I at Bankruptcy Box, they were doing some

731
00:36:36,320 --> 00:36:41,480
Speaker 1: drywall stuff and I started getting served dry wall videos

732
00:36:41,520 --> 00:36:44,040
Speaker 1: from like I'm just making this. You know, the drywall

733
00:36:44,160 --> 00:36:47,360
Speaker 1: master or whatever, you know, some guy on TikTok or something,

734
00:36:48,520 --> 00:36:50,799
Speaker 1: and this guy. You should see the way that this

735
00:36:50,840 --> 00:36:56,160
Speaker 1: guy is doing drywall. He's got like he is moving

736
00:36:56,320 --> 00:37:00,640
Speaker 1: and flipping and almost like twirling drywall like it some basketball.

737
00:37:01,360 --> 00:37:06,239
Speaker 1: He's he's an ultra lights half inch he's he even still,

738
00:37:06,520 --> 00:37:07,439
Speaker 1: I mean it's totally different.

739
00:37:07,520 --> 00:37:13,160
Speaker 7: That's three corners five eights. But you saw him putting

740
00:37:13,160 --> 00:37:15,840
Speaker 7: it up. I assume walls the ceilings need five eights,

741
00:37:16,360 --> 00:37:19,680
Speaker 7: which is a much heavier dry wall. That's where that

742
00:37:19,760 --> 00:37:22,960
Speaker 7: guy's not flipping around five eighths. Well, this guy was

743
00:37:23,000 --> 00:37:25,759
Speaker 7: putting up a wall whatever, whatever you're using, you're using

744
00:37:25,920 --> 00:37:29,160
Speaker 7: half inch, okay, well still even still.

745
00:37:29,120 --> 00:37:30,600
Speaker 2: No, it's impressive. I'm just saying.

746
00:37:31,000 --> 00:37:34,120
Speaker 1: And the way he was able to like just and

747
00:37:34,160 --> 00:37:36,719
Speaker 1: do it so fast and cut things and score it

748
00:37:36,800 --> 00:37:37,239
Speaker 1: and do it.

749
00:37:37,280 --> 00:37:42,280
Speaker 2: I go, Jesus christ Man. No robots going to compete

750
00:37:42,280 --> 00:37:43,680
Speaker 2: with mister drywall.

751
00:37:44,080 --> 00:37:48,080
Speaker 7: No, No, because uh yeah, I mean here's here's what

752
00:37:48,120 --> 00:37:49,800
Speaker 7: we did. We did this whole ceiling here.

753
00:37:51,480 --> 00:37:54,720
Speaker 1: Oh there there's construction, Charlie.

754
00:37:54,880 --> 00:37:56,239
Speaker 2: That's good. That's the action. Figure I want.

755
00:37:56,920 --> 00:38:01,120
Speaker 7: Yeah, it took two days to do that ceiling, which

756
00:38:01,160 --> 00:38:02,920
Speaker 7: is I think we thought we were gonna be able

757
00:38:02,920 --> 00:38:06,719
Speaker 7: to do the entire room in a day. The top

758
00:38:06,719 --> 00:38:09,520
Speaker 7: we're in, the ceiling, walls, shouldn't be, shouldn't be, should

759
00:38:09,680 --> 00:38:12,720
Speaker 7: be anything, And two days just to do the ceiling,

760
00:38:12,880 --> 00:38:14,800
Speaker 7: so we never got we never even got to the walls.

761
00:38:15,000 --> 00:38:19,440
Speaker 2: I called it quits. So are you taking anything for

762
00:38:19,520 --> 00:38:20,120
Speaker 2: this bag?

763
00:38:20,200 --> 00:38:20,399
Speaker 4: No?

764
00:38:20,440 --> 00:38:24,399
Speaker 7: Because yesterday wasn't When it happened yesterday, it sucked. I went,

765
00:38:24,520 --> 00:38:28,080
Speaker 7: oh that hurts, went home, didn't really do anything yesterday.

766
00:38:28,160 --> 00:38:30,160
Speaker 7: So I wasn't in pain because I was doing a

767
00:38:30,200 --> 00:38:33,520
Speaker 7: lot of just laying and I didn't think it was

768
00:38:33,560 --> 00:38:35,480
Speaker 7: that bad until I got here this morning.

769
00:38:35,520 --> 00:38:37,279
Speaker 2: So I have no I have nothing with me. I

770
00:38:37,320 --> 00:38:41,000
Speaker 2: didn't take anything at all. Is that I need a

771
00:38:41,800 --> 00:38:42,879
Speaker 2: little more than time?

772
00:38:44,000 --> 00:38:45,520
Speaker 7: That would it would be great to have something else,

773
00:38:45,560 --> 00:38:48,560
Speaker 7: But I need something for muscle eggs?

774
00:38:49,000 --> 00:38:53,880
Speaker 2: Is that is that? I appropriate? That's what I need?

775
00:38:54,280 --> 00:38:54,400
Speaker 3: Oh?

776
00:38:55,080 --> 00:38:57,759
Speaker 4: Do you want me to run to CBS and get

777
00:38:57,760 --> 00:39:00,840
Speaker 4: like a backpacked like I just got one for Giannas

778
00:39:00,960 --> 00:39:02,600
Speaker 4: waterback it's like a thermal.

779
00:39:04,200 --> 00:39:04,719
Speaker 2: No, I don't like.

780
00:39:05,840 --> 00:39:09,120
Speaker 7: I don't do any of that heat cold might help,

781
00:39:09,160 --> 00:39:13,440
Speaker 7: it would work, Okay, Devin says, did Rover just admit

782
00:39:13,480 --> 00:39:14,440
Speaker 7: he uses TikTok?

783
00:39:14,480 --> 00:39:16,520
Speaker 2: The main one who talks down about the app?

784
00:39:16,640 --> 00:39:20,240
Speaker 1: I actually, I'm sure whatever I was watching the drywall stuff,

785
00:39:20,400 --> 00:39:25,360
Speaker 1: it most certainly wasn't TikTok, because I uh it's it

786
00:39:25,400 --> 00:39:29,520
Speaker 1: was probably Facebook. I'm guessing because sometimes I'll sit down

787
00:39:30,120 --> 00:39:33,719
Speaker 1: on the toilet in the bathroom and I just just

788
00:39:33,880 --> 00:39:35,719
Speaker 1: you open up Facebook, and I don't even use it

789
00:39:35,760 --> 00:39:36,360
Speaker 1: to communicate.

790
00:39:36,400 --> 00:39:37,759
Speaker 2: I don't follow anybody. I don't.

791
00:39:38,200 --> 00:39:40,560
Speaker 1: I'm not sending messages to people. I'm not like Jeffery

792
00:39:40,760 --> 00:39:44,319
Speaker 1: was talking to chicks on Facebook. But somehow, man, this

793
00:39:44,400 --> 00:39:46,440
Speaker 1: sucker knows what I'm the name. I want to look

794
00:39:46,480 --> 00:39:46,799
Speaker 1: him up.

795
00:39:46,920 --> 00:39:48,919
Speaker 2: I don't know. I just made that up. I don't.

796
00:39:49,040 --> 00:39:51,520
Speaker 2: It was like a year ago drive ale Master, I've

797
00:39:51,560 --> 00:39:53,839
Speaker 2: just made that up. I don't. I don't know, don't

798
00:39:53,920 --> 00:39:54,319
Speaker 2: qult me up.

799
00:39:54,320 --> 00:39:55,520
Speaker 8: I saw a video of a guy like in the

800
00:39:55,920 --> 00:39:57,760
Speaker 8: who was the fifties or the forties or something.

801
00:39:57,920 --> 00:39:58,359
Speaker 2: I did too.

802
00:39:58,600 --> 00:40:00,920
Speaker 8: Oh, the guy with the one axe whatever he had

803
00:40:01,239 --> 00:40:04,120
Speaker 8: had like one tool in his hand. He's like like

804
00:40:04,120 --> 00:40:08,399
Speaker 8: everything was wondarious. Is this the guy that's the guy

805
00:40:09,120 --> 00:40:11,320
Speaker 8: he's just he's like one freaking it's a hammer with

806
00:40:11,360 --> 00:40:12,480
Speaker 8: an axe on the other side.

807
00:40:12,360 --> 00:40:15,479
Speaker 2: And he's just he's dry walling with one tool. Based.

808
00:40:15,480 --> 00:40:17,320
Speaker 2: Those are a little drywall sheets. Now I'm looking at it.

809
00:40:17,400 --> 00:40:19,040
Speaker 2: Look he's scoring it.

810
00:40:19,040 --> 00:40:21,560
Speaker 7: It's still great work, but those those are little tiny sheets.

811
00:40:24,120 --> 00:40:35,200
Speaker 1: Even pounds out the little hole for the outmarch. Probably, Yeah,

812
00:40:35,200 --> 00:40:36,879
Speaker 1: we were not doing this.

813
00:40:38,440 --> 00:40:40,120
Speaker 7: We had all the power tools in the world that

814
00:40:40,160 --> 00:40:42,400
Speaker 7: we could want, and we were not moving this fast.

815
00:40:42,719 --> 00:40:47,560
Speaker 7: Oh and nailing it too. We had drills, special drywall drills.

816
00:40:47,480 --> 00:40:51,320
Speaker 2: That we're coming out of his mouth. Here's somebody rover.

817
00:40:51,440 --> 00:40:54,799
Speaker 1: How is AI going to take my job wiring and

818
00:40:54,880 --> 00:40:57,920
Speaker 1: cabling data centers? A. I can't deal with the crap.

819
00:40:58,000 --> 00:41:00,840
Speaker 1: I deal with trying to engineer a solution, finding paths

820
00:41:00,880 --> 00:41:04,799
Speaker 1: and connectors, crimping and torquing everything to spec and code compliant.

821
00:41:04,840 --> 00:41:06,920
Speaker 2: Well not today, it can't.

822
00:41:07,600 --> 00:41:11,000
Speaker 1: But just like self driving cars and trucks aren't going

823
00:41:11,040 --> 00:41:15,080
Speaker 1: to take over today, are you telling me that they

824
00:41:15,120 --> 00:41:17,160
Speaker 1: won't in the future? You remember, I remember on this

825
00:41:17,239 --> 00:41:22,080
Speaker 1: show talking not even ten years ago, maybe five years

826
00:41:22,120 --> 00:41:26,160
Speaker 1: ago or less, talking to truck drivers who would tell

827
00:41:26,200 --> 00:41:29,719
Speaker 1: me there's no way, no way, will we ever have

828
00:41:29,800 --> 00:41:32,960
Speaker 1: self driving trucks? There's just too much going on, loads

829
00:41:33,080 --> 00:41:36,160
Speaker 1: moving around, this, that and the other. Now do we

830
00:41:36,239 --> 00:41:39,600
Speaker 1: have self driving semi trucks today? Maybe a handful and

831
00:41:39,719 --> 00:41:43,320
Speaker 1: testing we don't have it. But all of these things

832
00:41:43,320 --> 00:41:47,719
Speaker 1: are coming. And when you say automation or robots or

833
00:41:47,760 --> 00:41:51,120
Speaker 1: AI won't take your job and insert job here, whatever

834
00:41:51,239 --> 00:41:52,080
Speaker 1: job that is.

835
00:41:52,880 --> 00:41:55,719
Speaker 2: Don't be so sure about that. Do not be so

836
00:41:55,840 --> 00:41:56,560
Speaker 2: sure about that.

837
00:42:00,840 --> 00:42:05,799
Speaker 1: So yeah, will they take over your job today or tomorrow? No,

838
00:42:06,680 --> 00:42:09,440
Speaker 1: five years from now, ten years from now, fifteen years

839
00:42:09,440 --> 00:42:13,160
Speaker 1: from now. Probably I've got to take a break. Eight

840
00:42:13,200 --> 00:42:16,480
Speaker 1: sixty six yo Rover. No one will ever take over

841
00:42:16,600 --> 00:42:24,560
Speaker 1: for Dougie and News, the absolute pinnacle of accuracy and informativeness.

842
00:42:24,880 --> 00:42:28,000
Speaker 1: I'm just making words up, uh, Dougie, What do you

843
00:42:28,080 --> 00:42:29,640
Speaker 1: have coming up in the show? Utterly?

844
00:42:29,719 --> 00:42:32,280
Speaker 5: Woman was at the wrong place at the wrong time.

845
00:42:32,680 --> 00:42:34,920
Speaker 5: A weather situation got.

846
00:42:34,680 --> 00:42:35,439
Speaker 2: This old lady.

847
00:42:35,440 --> 00:42:38,480
Speaker 4: I'll tell you what hotter got her, shot her, nick

848
00:42:38,520 --> 00:42:40,400
Speaker 4: her out her, tell you what happened.

849
00:42:40,480 --> 00:42:41,320
Speaker 2: We'll be right back. Hang on