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What's with this "Internet of Things"? · Stuff You Should Know

• 0:01
  Speaker 1: Welcome to Stuff You Should Know from House Stuff Works
• 0:04
  Speaker 1: dot com. Hey, and welcome to the podcast. I'm Josh Clark,
• 0:13
  Speaker 1: and there's Charles W. Chuck Bryant. Jerome's to my right, uh,
• 0:19
  Speaker 1: and this is stuff you should There's probably some people going,
• 0:22
  Speaker 1: did they replaced Jerry with Jerome? Named Jerome? Yeah, that's
• 0:26
  Speaker 1: just the nickname we have for Jerry. Uh. It's a
• 0:31
  Speaker 1: it's an arcane reference to the librarian at the beginning
• 0:35
  Speaker 1: of Ghostbusters whose uncle thought he was sat Jerome. No, really,
• 0:41
  Speaker 1: that's what I've always been referencing. I thought we were
• 0:43
  Speaker 1: on the same page about it. We also call her Jarre's.
• 0:47
  Speaker 1: That's a reference to nothing, right, Jerry, all right, that's
• 0:52
  Speaker 1: a that was a great Jerry Chuck um chuck. Yes,
• 0:56
  Speaker 1: have you ever been on the Internet of Things? M Well,
• 1:03
  Speaker 1: you can't really be on the Internet of things. I
• 1:06
  Speaker 1: don't understand. Explain. Well, the Internet of Things, my friend,
• 1:10
  Speaker 1: is a really just a collection of interconnected devices to
• 1:15
  Speaker 1: make your life simpler and more and less private, pretty
• 1:21
  Speaker 1: much in front with potential complications, but more convenient. Allegedly,
• 1:28
  Speaker 1: there's a lot of people who also say this is
• 1:30
  Speaker 1: all just a bunch of navel gazing in a lot
• 1:32
  Speaker 1: of ways, you know, Like, do we really need these apps?
• 1:35
  Speaker 1: I ran across a a vape for smoking weed as
• 1:40
  Speaker 1: they call it, that has an app. Uh, it's an
• 1:44
  Speaker 1: a vaping system for smoking. It's just a little pipe marijuana.
• 1:49
  Speaker 1: But but it's just a little pipe, and um, it
• 1:52
  Speaker 1: has an app that goes with it that remotely controls
• 1:56
  Speaker 1: it the heat settings and stuff. Oh does it like
• 2:00
  Speaker 1: things like you've smoked one ounce of weed this month? No,
• 2:04
  Speaker 1: which would be pretty intriguing. I guess that would be. Yeah,
• 2:09
  Speaker 1: And that's the point. There's a lot of there's a
• 2:11
  Speaker 1: lot of stuff that you can point to and say,
• 2:13
  Speaker 1: this is pretty neat. This thing feeds my cat while
• 2:15
  Speaker 1: I spend twenties three hours a day at work. Yeah,
• 2:19
  Speaker 1: that's it's nice that I can keep this cat alive
• 2:21
  Speaker 1: that I have no connection with any longer because I'm
• 2:24
  Speaker 1: at work all the time. But this machine feeds it
• 2:26
  Speaker 1: because I can control it remotely with an app. Right.
• 2:29
  Speaker 1: But if you have something tracking how much we do
• 2:31
  Speaker 1: you smoke? You're either smoking far too much or not
• 2:33
  Speaker 1: nearly enough, or you have too much money is another
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  Speaker 1: way to put it. Yeah. Uh, you know what my
• 2:39
  Speaker 1: friend Clay. I don't know if you've met Clay, but
• 2:42
  Speaker 1: he told me something. The way, as far as being
• 2:48
  Speaker 1: concerned about security and privacy rights and things, is what
• 2:51
  Speaker 1: they do is they sell it to you first as
• 2:53
  Speaker 1: a convenience and then before you know it, you know,
• 2:59
  Speaker 1: dot dot dot Clay Clay never finished the sence he did,
• 3:02
  Speaker 1: but you know, I don't remember exactly he finished it.
• 3:05
  Speaker 1: Clay said this in Oh, yeah, I think i'd like
• 3:09
  Speaker 1: Clay like way before, like he was probably just talking
• 3:12
  Speaker 1: about geez, I don't even know, like a credit card
• 3:17
  Speaker 1: or something, and and he was just like, just be aware, man.
• 3:20
  Speaker 1: He was like, they sell it to he is a
• 3:22
  Speaker 1: convenience before you know what. Everyone is doing it that way,
• 3:26
  Speaker 1: and it's fraught with complications, was essentially what he was saying. Yeah,
• 3:29
  Speaker 1: I think that's very precient because that's exactly the point
• 3:32
  Speaker 1: that we're at right now. And we'll talk a little more,
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  Speaker 1: well a lot more, I'm sure, about security and privacy
• 3:37
  Speaker 1: and all that stuff, but ultimately it's like you said,
• 3:40
  Speaker 1: the Internet of things. Is this A lot of other
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  Speaker 1: people call it the internet, Like this is just the
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  Speaker 1: next wave of the Internet. This is where the Internet
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  Speaker 1: is going but the I guess the best description of
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  Speaker 1: it is it's a series of interconnected UM machines devices that,
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  Speaker 1: since the environment in a lot of k is, UM
• 4:01
  Speaker 1: can carry out some sort of function. Usually it is
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  Speaker 1: a sensing function, and UM can communicate with central servers,
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  Speaker 1: usually in the cloud, via the Internet. It's about as
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  Speaker 1: simple as that. Like, that's the Internet of things. Yeah,
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  Speaker 1: Like if you think, boy, this all sounds weird and
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  Speaker 1: I don't use stuff like that, if you have anything
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  Speaker 1: that has the word smart in front of it, then
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  Speaker 1: you're probably using the Internet of things already, right if
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  Speaker 1: you've got a smartphone that to a smart thermostat or
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  Speaker 1: a smart smoke detector, or if you wear a exercise tracker.
• 4:34
  Speaker 1: This that's the Internet of things right exactly. And the
• 4:37
  Speaker 1: there's a lot of obvious steps that are right there
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  Speaker 1: on the horizon coming after this is like the idea
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  Speaker 1: that UM your refrigerator will be able to be like, oh,
• 4:47
  Speaker 1: these guys are almost out of cash. You milk, I'll
• 4:50
  Speaker 1: contact Amazon and have it delivered in two hours. And
• 4:54
  Speaker 1: you're like, I don't drink cash, you milk anymore? Fridge,
• 4:56
  Speaker 1: dupid fridge? How many times do I have to abuse
• 5:00
  Speaker 1: was you. But that's pretty neat. I mean I think
• 5:03
  Speaker 1: a lot of this. It's it's both good and a
• 5:06
  Speaker 1: little creepy. Like that'd be cool. If I showed up
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  Speaker 1: at home one day and I was out of milk
• 5:11
  Speaker 1: and it was waiting on my doorstep, I of milk.
• 5:14
  Speaker 1: You wouldn't want waiting on your doorstep. O, cash your milk.
• 5:17
  Speaker 1: It doesn't matter. Oh you don't in refrigerate it no way,
• 5:19
  Speaker 1: because it's not milk, it's cash your juice. Yes, it
• 5:21
  Speaker 1: is what they should call it. Um the I don't
• 5:25
  Speaker 1: disagree with you, right, Like, I'm sure it is pretty neat.
• 5:28
  Speaker 1: It's pretty cool, and in five years it'll be totally
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  Speaker 1: second nature to us. Right. But the in my experience,
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  Speaker 1: the more mechanized, the more automated, the more convenient and
• 5:40
  Speaker 1: I just made air quotes, life gets, the more difficult
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  Speaker 1: it is to keep up with, the less simple it is,
• 5:48
  Speaker 1: and the more horrific it is when something breaks down. Interesting,
• 5:52
  Speaker 1: So in within simplification, you think it becomes more complicated, Yeah,
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  Speaker 1: because you you rely on machines that can break, and
• 5:59
  Speaker 1: when they break, you're like, I forgot how to order
• 6:02
  Speaker 1: cash your milk? Where you get that stuff. So you
• 6:05
  Speaker 1: think we're headed for idiocracy, uh, to an extent, But
• 6:09
  Speaker 1: I think it's more. It's more than that. In the
• 6:11
  Speaker 1: short term. I think it's just that it's it's so
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  Speaker 1: much easier to walk to a grocery store and buy
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  Speaker 1: cash you milk, and walk back home than it is
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  Speaker 1: to um ensure that your fridge has all of the
• 6:25
  Speaker 1: updated firmware and make sure that it's it's ordering correctly
• 6:29
  Speaker 1: from Amazon, and to make sure Amazon gets there. And
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  Speaker 1: you're just relying on all these other components rather than
• 6:34
  Speaker 1: your own two feet and the idea that the people
• 6:36
  Speaker 1: at the store are gonna have your cash you milk.
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  Speaker 1: I see that in a way, but I also disagree
• 6:41
  Speaker 1: in a way. Like, for instance, I have I have
• 6:44
  Speaker 1: a few things in my life that I've set to
• 6:46
  Speaker 1: auto order, like air filters, baby formula, stuff that water
• 6:53
  Speaker 1: my fridge water filter like this stuff gets shipped to
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  Speaker 1: me automatically, and it's wonderful because I don't have to
• 6:58
  Speaker 1: think about it at all. So does your fridge order
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  Speaker 1: itself or you just put a time around like Amazon,
• 7:04
  Speaker 1: it's on a timer to these you know, not even Amazon,
• 7:08
  Speaker 1: like you know, the fridge filter company. You can just
• 7:10
  Speaker 1: set it to auto deliver like every sixty days. So
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  Speaker 1: it's nice because I don't have to think about it.
• 7:15
  Speaker 1: The only thing is missing is the camera or the
• 7:17
  Speaker 1: device itself being hooked up telling the company, Hey, my
• 7:21
  Speaker 1: air filter is over or you know, spent um, which
• 7:25
  Speaker 1: would be pretty awesome to tell you the truth, if
• 7:28
  Speaker 1: your air filter could be like it's actually we're at
• 7:32
  Speaker 1: we need to go ahead and order. However, you know what,
• 7:35
  Speaker 1: that's a little I never really thought about that being
• 7:37
  Speaker 1: a little dicey, because you know, you need a new
• 7:40
  Speaker 1: water filter, trust me, Like really, but what if you
• 7:44
  Speaker 1: could get another month out of this one that you're
• 7:47
  Speaker 1: throwing away and you're ordering early, then they can sell
• 7:49
  Speaker 1: another to a year to you exactly. That's what I
• 7:53
  Speaker 1: assume when you're trusting them, like when they're like you
• 7:55
  Speaker 1: have to change your oil every three thousand miles or
• 7:57
  Speaker 1: or yeah, you need to change your water filter every
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  Speaker 1: three months, Like I never changed my oil. Yeah, I forget.
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  Speaker 1: That's for chumps. It's a scam. Uh anyway, all right,
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  Speaker 1: so that's a little personal overview. The phrase Internet of
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  Speaker 1: Things is actually coined, they think, in the late nineties
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  Speaker 1: by guy named Kevin Ashton, who worked for PNG. I'll
• 8:18
  Speaker 1: bet he has a T shirt that says I coined
• 8:20
  Speaker 1: the term Internet of things. Well just so he can
• 8:23
  Speaker 1: invite people to punch him in the face or give
• 8:25
  Speaker 1: him a hug, depending on who you are. He worked
• 8:28
  Speaker 1: for Procter and Gamble, and he had a presentation, Uh,
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  Speaker 1: they're at work where he said, you know what we
• 8:34
  Speaker 1: should do. We should put um radio frequency ID tags
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  Speaker 1: r F I D s on lipstick in the store,
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  Speaker 1: so and have that hooked up to a machine where
• 8:44
  Speaker 1: we could automatically send that information and say, hey, the
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  Speaker 1: store is running low on lipstick, get a shipment over there.
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  Speaker 1: And he coined the term Internet of things supposedly in
• 8:54
  Speaker 1: that meeting, and apparently though at this time, but prior
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  Speaker 1: to that, the nineties were a big time for something
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  Speaker 1: called ubiquitous computing, which is the basically the predecessor to
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  Speaker 1: the idea of the Internet of things, where like computers
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  Speaker 1: would just be integrated into our lives totally and completely um,
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  Speaker 1: and the Internet of things is in that vein a
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  Speaker 1: little similarly. But from stuff I've read, there's a lot
• 9:17
  Speaker 1: of people were like, I didn't quite feel fulfill the
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  Speaker 1: promise of ubiquitous computing. This is just kind of like
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  Speaker 1: life slightly more convenient now thanks to this, But that
• 9:27
  Speaker 1: that his original idea, Kevin Ashton's, makes total and complete sense,
• 9:32
  Speaker 1: you know, like the you could how many sales do
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  Speaker 1: you miss when your lipstick thing is empty until you
• 9:39
  Speaker 1: get you find out it's empty, and then get to
• 9:40
  Speaker 1: refill it, Like if your lipstick the last one can
• 9:44
  Speaker 1: be like, hey, I'm the last one here, you guys,
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  Speaker 1: better sense and replacements. It's great. That makes perfect, total sense,
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  Speaker 1: and that was ultimately the original basis of the Internet
• 9:53
  Speaker 1: of Things. It's taking um dumb things and making them,
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  Speaker 1: like you said, smart, by give then the ability to
• 10:01
  Speaker 1: sense their surroundings and communicate that data to a central
• 10:06
  Speaker 1: server where that's analyzed and then the proper people are alerted. Yeah,
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  Speaker 1: and here's the thing that I also never considered is
• 10:14
  Speaker 1: they must have discovered that there was a need for that.
• 10:17
  Speaker 1: And the only need I can imagine would be that
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  Speaker 1: the employees were so bad at realizing that they were
• 10:23
  Speaker 1: running out of stock that they would go several days
• 10:26
  Speaker 1: without having lipstick on hand. So they were like, these
• 10:29
  Speaker 1: people can't even do that. Well, what if let's say
• 10:33
  Speaker 1: that you have a person whose job it is to
• 10:36
  Speaker 1: restock lipstick, right, and they go one week and there's
• 10:41
  Speaker 1: like five million tubes of orange, so much orange, they
• 10:44
  Speaker 1: just take some handful and throw throw it away just
• 10:47
  Speaker 1: because they don't want their bosses to feel bad about
• 10:49
  Speaker 1: the orange lipstick that's not being sold. Tubes of orange
• 10:52
  Speaker 1: come back right the next week and it's all gone
• 10:55
  Speaker 1: sold out. And then it's erratic like that, you've got
• 10:58
  Speaker 1: an employee you're sending there, Um that's just hit or miss,
• 11:02
  Speaker 1: whether you just wasted a bunch of gas in the
• 11:04
  Speaker 1: employees time, rather than being alerted like now you guys
• 11:08
  Speaker 1: can come before it's too late. Sure, that's the thing
• 11:12
  Speaker 1: that makes the most sense to me. Kevin Ashton genius.
• 11:16
  Speaker 1: Maybe so I meant to look him up to see
• 11:18
  Speaker 1: what he was doing these days, if he was just
• 11:20
  Speaker 1: wearing the T shirt or he might be a professional
• 11:24
  Speaker 1: term coiner, you know, haven't worked out quite as well
• 11:28
  Speaker 1: to sit back in the fishnet of the future. Yeah,
• 11:31
  Speaker 1: that that was that kind of caught on a little
• 11:33
  Speaker 1: bit early in the two thousand's, but then it just yeah,
• 11:37
  Speaker 1: it went the way the dodo, which was coined by Yeah,
• 11:44
  Speaker 1: that's been around for a while. It's the Dodo. Um,
• 11:48
  Speaker 1: the Dodo died, all right, So let's talk about a
• 11:52
  Speaker 1: little bit what you What you've got essentially is a
• 11:55
  Speaker 1: is a step by step system that many times starts
• 11:58
  Speaker 1: with a smartphone this connected to the internet. Uh. Then
• 12:03
  Speaker 1: you have other pieces of hardware in your home that
• 12:05
  Speaker 1: are also connected to the internet, and there is most
• 12:08
  Speaker 1: likely an app for that hardware on your smartphone, and
• 12:11
  Speaker 1: then that's usually sent out to the cloud. It's not
• 12:15
  Speaker 1: some guy or some ladies sitting in a room in
• 12:19
  Speaker 1: looking at your data. It's eight thousand steps today, just
• 12:24
  Speaker 1: following behind you, counting count No, they're looking at the
• 12:28
  Speaker 1: data from your wearable. Yeah, so just in your guest room.
• 12:31
  Speaker 1: That become a neat I don't know. No, it depends
• 12:36
  Speaker 1: on whether they like get along with you, or if
• 12:39
  Speaker 1: they drink your cash you milk. Well, Todd drinks all
• 12:43
  Speaker 1: the cash you milk. So that's why Todd's not wanted.
• 12:46
  Speaker 1: He's being counterproductive. So then it usually goes to the cloud,
• 12:50
  Speaker 1: which is where we send our data these days, where
• 12:52
  Speaker 1: it's analyzed, and that's a big that's a big part
• 12:54
  Speaker 1: of the Internet things too, Chuck, is the cloud, because
• 12:57
  Speaker 1: that means that you don't have to analyze the day
• 13:00
  Speaker 1: in the little machine, in the little censer. All it
• 13:03
  Speaker 1: has to do is sense stuff and create that data
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  Speaker 1: and then send it to the cloud, where you're basically
• 13:08
  Speaker 1: outsourcing all the analysis. That takes a lot more computing power.
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  Speaker 1: So that was a big development that there's such a
• 13:14
  Speaker 1: thing as the cloud now. Yeah, that's it kind of
• 13:16
  Speaker 1: puts the smart into it all. Um. And if you're
• 13:20
  Speaker 1: wondering how big it is right now, that depends on
• 13:22
  Speaker 1: who you ask, but some say between fifteen and twenty
• 13:25
  Speaker 1: five billion devices already that are connected, and uh, some
• 13:30
  Speaker 1: people say by twenty it could be anywhere from fifty
• 13:36
  Speaker 1: billion to a trillion devices connected, depending on how much
• 13:41
  Speaker 1: it catches on, you know, how every day it becomes.
• 13:43
  Speaker 1: But it's at it that way for sure. I don't
• 13:45
  Speaker 1: think there's any going back from this. I think they're
• 13:48
  Speaker 1: going to stick a some sort of um computing hardware
• 13:53
  Speaker 1: that taps into the Internet on everything everything, okay, And
• 14:00
  Speaker 1: and it doesn't necessarily have to be a smart thermostat,
• 14:04
  Speaker 1: like they have devices now that you can tag to
• 14:07
  Speaker 1: everyday items to keep up with things. Yeah, or let's
• 14:12
  Speaker 1: say cameras that Let's say you have a security system
• 14:15
  Speaker 1: at your house that you can view from your smartphone
• 14:18
  Speaker 1: from anywhere in the world, and maybe it automatically calls
• 14:21
  Speaker 1: the police. That's the Internet of things, right you know. Yeah,
• 14:26
  Speaker 1: I mean there's a lot of great applications for it.
• 14:28
  Speaker 1: And again, like this is just we're in the the
• 14:32
  Speaker 1: nascent period of of this, like the stuff that's like, wow,
• 14:36
  Speaker 1: holy cow, I have a smart doorbell. That's amazing and
• 14:40
  Speaker 1: it's it's awesome and it works really well. But there's
• 14:44
  Speaker 1: you can't you basically can't apply your imagination to predict
• 14:49
  Speaker 1: what's even gonna be fifteen years into the future as
• 14:52
  Speaker 1: far as the Internet of things goes, Like just the
• 14:55
  Speaker 1: the change in uh, how we deal in inner act
• 15:00
  Speaker 1: with the Internet and our surroundings is it's it's inestimable. Yeah,
• 15:05
  Speaker 1: who wrote this one was a strickling No, this was
• 15:08
  Speaker 1: Bernadette Johnson. Well, she wrote a line in here that
• 15:11
  Speaker 1: I'm just gonna read because it really kind of hit
• 15:13
  Speaker 1: home for me. She said, we've essentially given common physical
• 15:16
  Speaker 1: objects both computing power and senses, and that explains it
• 15:22
  Speaker 1: to a t. Yeah, you did a good job with this.
• 15:24
  Speaker 1: There's a lot of information, Like you could do anything.
• 15:27
  Speaker 1: You can make anything smart that you wanted. You could
• 15:29
  Speaker 1: have a smart can't open her smart tuba lipstick, yeah exactly,
• 15:35
  Speaker 1: or smart tube of toothpaste that you know when you're
• 15:38
  Speaker 1: squeezing the end and your how do you get all
• 15:41
  Speaker 1: the toothpaste out? What's your method? Oh? You know they
• 15:44
  Speaker 1: make a little um remover. I can't remember what it's called.
• 15:48
  Speaker 1: You gotta you got a machine? No, well, yeah, I
• 15:51
  Speaker 1: have a smart toothpaste remover. It's like a little it
• 15:54
  Speaker 1: looks like a remember those candy lips, the wax lips.
• 15:57
  Speaker 1: It looks like those, but it's pocket right now. Okay,
• 16:00
  Speaker 1: so pull us out. Um. If you had a like
• 16:03
  Speaker 1: a slit in the lips, you put the tube of
• 16:07
  Speaker 1: toothpaste in the like the end of it in there,
• 16:09
  Speaker 1: and you just kind of tilted at an angle a
• 16:11
  Speaker 1: little bit and puts pressure and you just slide it
• 16:13
  Speaker 1: along and it pushes it to the to the front. Yeah.
• 16:17
  Speaker 1: I use my toothbrush to do the same thing. How
• 16:20
  Speaker 1: Oh you slide the tooth trust the toothpaste tube on
• 16:24
  Speaker 1: the sink and just you know, use it as a
• 16:27
  Speaker 1: uh flattener. Squeezer, squeezer. Yeah, that's a good one. Interesting. Yeah,
• 16:33
  Speaker 1: I never realized you just hacked your tooth brush. What
• 16:37
  Speaker 1: do you? Uh, what do you pay for something like
• 16:39
  Speaker 1: what you got? Like a dollar something like that? Yeah, yeah, nothing,
• 16:43
  Speaker 1: nothing too much. Well, boy, I guess I got away
• 16:45
  Speaker 1: with it. See now, if if I if there was
• 16:49
  Speaker 1: some sort of computing chip on this thing that calculated
• 16:53
  Speaker 1: how much toothpaste was left and sent that information to
• 16:56
  Speaker 1: my app, that would be a smart toothpaste squeezer, that's it.
• 17:00
  Speaker 1: Or you come home and open the mailbox and there's
• 17:02
  Speaker 1: a new toothpaste and you're like, I didn't even know
• 17:05
  Speaker 1: I was out because I haven't been using my my
• 17:07
  Speaker 1: lippy device. You know, Yeah, I forgot to brush my
• 17:12
  Speaker 1: teeth for three weeks. Let's take a break. Yeah, it's
• 17:15
  Speaker 1: getting a little silly. Yeah, And you go brush your
• 17:17
  Speaker 1: teeth and we'll meet back in here. And how long
• 17:20
  Speaker 1: does it take you to brush your teeth? Like? Seven?
• 17:22
  Speaker 1: Eight seconds? Great, we'll be back here in eight seconds.
• 17:40
  Speaker 1: By the way, seven or eight seconds is not nearly
• 17:43
  Speaker 1: enough time. I just know. That's washing your hands. You're
• 17:46
  Speaker 1: supposed to do the alphabet whie for brushing your teeth.
• 17:51
  Speaker 1: Either for washing your hands, or brushing your teeth, you know,
• 17:54
  Speaker 1: if you're supposed to do like three minutes for brushing
• 17:56
  Speaker 1: your teeth. I've got the we won't name check here
• 18:01
  Speaker 1: and buzz market, but I've got a mechanical toothbrush and
• 18:06
  Speaker 1: it um electric toothbrush and you know it has it
• 18:10
  Speaker 1: beeps and you divide your mouth up into four zones.
• 18:13
  Speaker 1: Oh yeah, I think I have the same top left,
• 18:14
  Speaker 1: top right, bottom left, bottom right, and it just beeps
• 18:16
  Speaker 1: and deep like vibrates. Oh really, it's already vibrating though.
• 18:22
  Speaker 1: How can you tell the difference? It changes its vibration really? Yeah,
• 18:25
  Speaker 1: how weird. I guess maybe it's a pause in the
• 18:27
  Speaker 1: vibration that I think about it. I just assigned to
• 18:29
  Speaker 1: a vibration. Yeah, the same deal though. Yeah. And they
• 18:32
  Speaker 1: again there's smart toothbrushes that can keep up with how
• 18:35
  Speaker 1: much you brush your teeth and that kind of stuff.
• 18:37
  Speaker 1: Are they really uh? Their WiFi connected toothbrushes that connect
• 18:42
  Speaker 1: to an app. You know, my brother in law, the
• 18:46
  Speaker 1: Marine Corps general um he. I used to laugh at
• 18:50
  Speaker 1: him because I was in his bathroom once and opened
• 18:53
  Speaker 1: the drawer and he had a log of his razor
• 18:56
  Speaker 1: and shaving log and like how many times he'd used
• 18:59
  Speaker 1: the raser And it's basically pre smart Internet of Things
• 19:04
  Speaker 1: smart razor, because I'm sure they have those now to
• 19:07
  Speaker 1: alert you, like when you should change your your razor blades.
• 19:10
  Speaker 1: I haven't heard of that one, but I wouldn't be
• 19:12
  Speaker 1: surprised if there was. I just thought it was very funny.
• 19:14
  Speaker 1: I mean, I said a lot about who he was.
• 19:16
  Speaker 1: Oh yeah, you know, and no surprised that he's a
• 19:19
  Speaker 1: Marine Corps general. If he's keeping up with stuff like that,
• 19:21
  Speaker 1: I can I can see him, like, um, I met him.
• 19:24
  Speaker 1: He's a great guy, just sitting at the edge of
• 19:26
  Speaker 1: the bed right before bedtime, petting his cat fifty times,
• 19:29
  Speaker 1: no more, no less, and than putting it in the
• 19:31
  Speaker 1: foot locker at the end of the bed for the night,
• 19:33
  Speaker 1: and like tucking himself in. Yeah, he's the one that
• 19:35
  Speaker 1: trere me on to peeing sitting down too. So oh yeah,
• 19:38
  Speaker 1: a great debt to him. Nice hats off. Is he
• 19:41
  Speaker 1: coming to our DC show again? Uh? No, man, they're
• 19:44
  Speaker 1: transferred over overseas for the first time ever. Are they
• 19:47
  Speaker 1: coming to our UK shows? No, not that overseas. I'm
• 19:52
  Speaker 1: not allowed to say where he's going. Okay, that's cool.
• 19:56
  Speaker 1: I'm with you top secret, huh. I can tell you
• 19:58
  Speaker 1: off the airs. That says, I see what you're saying.
• 20:01
  Speaker 1: It probably doesn't matter. I'm just respecting this privacy by
• 20:04
  Speaker 1: telling everyone that he taught me to be sitting down.
• 20:07
  Speaker 1: You really got starting that national combo? Why don't you
• 20:10
  Speaker 1: I just think it's important, you know, I need to
• 20:13
  Speaker 1: be talking about it. No mistakes is the motto of
• 20:16
  Speaker 1: the tagline. No no drips, no runs, no errors. Nice. Um,
• 20:22
  Speaker 1: did we just take a break and we came back
• 20:24
  Speaker 1: with this garbage? Maybe we should start over again, Jerry,
• 20:29
  Speaker 1: all right, well let's talk about the chech how about that? Yeah,
• 20:35
  Speaker 1: telemetry nothing new, No apparently, this says. And again, the whole,
• 20:41
  Speaker 1: the whole basis of the Internet of Things is what's
• 20:43
  Speaker 1: called machine to machine um communication. Right, you have like
• 20:48
  Speaker 1: your smart lipstick just sitting there sensing that it's the
• 20:51
  Speaker 1: last tube it can sense all day long, and it's
• 20:53
  Speaker 1: still a dumb stick, a lips lipstick. It can't tell you,
• 20:57
  Speaker 1: right unless it can communicate that data to the people
• 21:01
  Speaker 1: who need to know that stuff. And they do that
• 21:03
  Speaker 1: through machine to machine communication. And like you're saying, telemetry
• 21:07
  Speaker 1: was the original version of that, which apparently dates back
• 21:09
  Speaker 1: the Yeah, it's comes from the Greek um tele means
• 21:14
  Speaker 1: remote and uh metro metron means measure. And that's where
• 21:20
  Speaker 1: you're basically in a remote area, you would measure something
• 21:24
  Speaker 1: and then send that uh via back then telephone line, right,
• 21:29
  Speaker 1: like an Arctic station or something set up to watch animals,
• 21:33
  Speaker 1: like deep in the jungle or something. It's like, there's
• 21:36
  Speaker 1: a world the beast, don't we go there's a wild beast.
• 21:38
  Speaker 1: That was early telemetry exactly. And that's essentially just an
• 21:42
  Speaker 1: extension of what we're doing now. Yeah, now it's an
• 21:45
  Speaker 1: extension of from then. Well we've we've built upon that.
• 21:48
  Speaker 1: I mean think like the first dial up stuff that
• 21:50
  Speaker 1: was I would guess probably telemetry, you know, the series
• 21:53
  Speaker 1: of like the and all that. I mean, you're sending
• 21:57
  Speaker 1: signals from one machine to another saying and let me online.
• 22:01
  Speaker 1: Yeah it's your problem. Why are you so slow? Uh?
• 22:04
  Speaker 1: And what's allowed the Internet of Things to take root? Um?
• 22:08
  Speaker 1: Very simply it gets more complicated, but the invention of
• 22:12
  Speaker 1: the Worldwide Web by Mr Tim Burners Lee off Man
• 22:17
  Speaker 1: h Then the ubiquitous nous is that a word? Ubiquity ubiquitousness,
• 22:24
  Speaker 1: ubiquitousness of WiFi. Although yeah, I think ubiquity is yeah,
• 22:29
  Speaker 1: is that right? Yeah, WiFi, I do the porky pig
• 22:34
  Speaker 1: thing where I just skip it. Um, the the widespread
• 22:39
  Speaker 1: nature of WiFi all of a sudden, where um, you
• 22:42
  Speaker 1: don't have to be physically connected to something that really
• 22:44
  Speaker 1: advanced things speed. And then like we already said, the cloud, Yeah,
• 22:49
  Speaker 1: I think the cloud is the thing that really kind
• 22:51
  Speaker 1: of allows it more than anything else. It's just if
• 22:54
  Speaker 1: you had to have that kind of computing power right
• 22:58
  Speaker 1: there in the sensor, then it's just would be very limiting.
• 23:01
  Speaker 1: You couldn't put it on just anything, and it would
• 23:03
  Speaker 1: be a lot more expensive. To these things that they're
• 23:05
  Speaker 1: adding to to you know, normal inanimate objects to make
• 23:10
  Speaker 1: them smart are very cheap to produce. They just need
• 23:15
  Speaker 1: a few components. They need computing hardware, they need sensors,
• 23:19
  Speaker 1: they need communication hardware, and then they need some sort
• 23:22
  Speaker 1: of power source, which you can get that from the
• 23:25
  Speaker 1: machine itself that you plug in, right, So like if
• 23:28
  Speaker 1: it's a smart coffee maker, it can draw power from
• 23:30
  Speaker 1: the the plug that the coffee maker runs off of.
• 23:34
  Speaker 1: And then it needs Internet access, which if you have
• 23:36
  Speaker 1: a smart coffee maker, but you don't have internet at
• 23:38
  Speaker 1: your house. You made a poorer decision in your coffee
• 23:41
  Speaker 1: maker purchase. Like pretty much everything comes with internet access
• 23:45
  Speaker 1: at this point right in the Western world. Sure. Uh.
• 23:48
  Speaker 1: The other thing we've kind of been talking about is
• 23:51
  Speaker 1: UM your own devices in your home. But it just
• 23:55
  Speaker 1: you don't have to be just hooked up to things
• 23:57
  Speaker 1: that you own. You can hook up to other like
• 23:59
  Speaker 1: SIST devices. Like let's say your town has UM devices
• 24:04
  Speaker 1: that monitor traffic conditions, you can tap into that. I
• 24:08
  Speaker 1: guess that's what WAYS is, right or is that all
• 24:10
  Speaker 1: self reported? I looked up and UM, it seems to
• 24:13
  Speaker 1: be all self reported. But there's something called like WAYS
• 24:16
  Speaker 1: Citizen or something like that, and it it appears to
• 24:19
  Speaker 1: be WAYS trying to get smart cities to let them
• 24:22
  Speaker 1: tap into their information like traffic cams and stuff like that. Yeah,
• 24:26
  Speaker 1: and apparently that's already a thing like if you just
• 24:28
  Speaker 1: leave your phone open or like the Bluetooth on, if
• 24:31
  Speaker 1: you're driving through a smart city with UM traffic sensors,
• 24:35
  Speaker 1: it basically uses your phone's information while you're in traffic
• 24:39
  Speaker 1: as real time traffic information because your phone has something
• 24:43
  Speaker 1: like a an accelerometer in it, so it knows how
• 24:46
  Speaker 1: fast you're moving at any given point. And if it's
• 24:49
  Speaker 1: giving that information to just a panel on the side
• 24:52
  Speaker 1: of the street, that panel can put all that info
• 24:55
  Speaker 1: together and be like oh, peach trees like super backed
• 24:58
  Speaker 1: up right now, and then if Ways can get their
• 25:01
  Speaker 1: hands on their information, they can send that out to
• 25:04
  Speaker 1: their users. But for right now. Ways, as far as
• 25:06
  Speaker 1: I know, is is it's a it's a social apps.
• 25:10
  Speaker 1: It relies on its users to update conditions, which, by
• 25:14
  Speaker 1: the way, Ways I think might be the best app
• 25:17
  Speaker 1: of the twenty one century so far. I didn't start
• 25:20
  Speaker 1: using it. I had it on my phone for a while,
• 25:22
  Speaker 1: but I never used it, but have a little bit recently. Um,
• 25:27
  Speaker 1: I don't I don't like interact with it much. I'll
• 25:29
  Speaker 1: just set it to tell me where to go, like
• 25:32
  Speaker 1: I don't report accidents and things. Does that mean I'm
• 25:35
  Speaker 1: a bad user? I mean you're you're you're using like
• 25:38
  Speaker 1: the efforts of other people without contributing. I mean the
• 25:42
  Speaker 1: point is is for everybody to contribute. It makes it
• 25:44
  Speaker 1: more robust. But it's not like you're going to show
• 25:46
  Speaker 1: up at your house, you pull over on the highway,
• 25:50
  Speaker 1: that's That's probably the one big thing about about ways
• 25:55
  Speaker 1: is that like you're not supposed to be using it
• 25:57
  Speaker 1: in that situation. If you're the driver, you're supposed to
• 25:59
  Speaker 1: be the passengers. But they're also kind of telling you
• 26:02
  Speaker 1: to you know well, I mean there's a thing that
• 26:04
  Speaker 1: when when it comes up or when you try to start,
• 26:07
  Speaker 1: it'll say like are you a passenger? And they just
• 26:10
  Speaker 1: assume that you're going to just be truthful about that. Yeah.
• 26:13
  Speaker 1: That's like the website to say, like, tell us your
• 26:15
  Speaker 1: twenty one by clicking here exactly and then welcome to
• 26:18
  Speaker 1: the party. Yeah, and the twenty year olds like, no, shoot,
• 26:21
  Speaker 1: you can click on this close two weeks, I'll be
• 26:24
  Speaker 1: back in two weeks um. The other thing I was
• 26:28
  Speaker 1: wondering too, like what if the lipstick as an example,
• 26:32
  Speaker 1: what if they that's open uh to where you can
• 26:36
  Speaker 1: look at your app and say like, well, no, this
• 26:38
  Speaker 1: store is out of lipstick. That'd be cool, you know. Yeah,
• 26:41
  Speaker 1: I said, of having to call and talk to a
• 26:42
  Speaker 1: dumb person, I know it's awful wait for them to
• 26:45
  Speaker 1: go look with their eyes. Well, but you know, I
• 26:47
  Speaker 1: get it though, because now the days you call and
• 26:49
  Speaker 1: say hey, I want to check and see if you
• 26:50
  Speaker 1: have something stock, and you usually met with all right,
• 26:54
  Speaker 1: hold on and not like sure, I'd be happy to
• 26:58
  Speaker 1: go check before user. They're like, oh man, I can't
• 27:02
  Speaker 1: wait to get outsourced to a robot, right. But then
• 27:05
  Speaker 1: you get to the store and they don't have it
• 27:07
  Speaker 1: in stock, and you're like, I called and asked someone.
• 27:08
  Speaker 1: They're like, who'd you talk to? There's no one by
• 27:12
  Speaker 1: their name of works here. Sorry, and he's like got
• 27:14
  Speaker 1: covering his name back with his hand. Um and Chuck.
• 27:19
  Speaker 1: Speaking of smart cities, you know, traffic info is a
• 27:22
  Speaker 1: big one, so was um smart traffic lights, which I
• 27:28
  Speaker 1: wish they's been around starting when I was sixteen, because
• 27:32
  Speaker 1: there is there are a few things to me that
• 27:34
  Speaker 1: are more of a waste of time than sitting in
• 27:36
  Speaker 1: a traffic light when there's no traffic going through Decatur
• 27:39
  Speaker 1: where near a while it is famous for its lights
• 27:42
  Speaker 1: not being timed or trip tripped or whatever, and it's
• 27:45
  Speaker 1: there forever it's horrible. Yeah, Decator does have really long
• 27:48
  Speaker 1: lights and yeah, they don't even have the We found
• 27:51
  Speaker 1: out it's either a metal detector or a weight sensor
• 27:54
  Speaker 1: that where there's like the lines that where they obviously
• 27:57
  Speaker 1: cut out the the um a hard top in front
• 28:01
  Speaker 1: of you in front of a light. If you don't
• 28:04
  Speaker 1: even have that, that's a problem. But even those ones
• 28:08
  Speaker 1: that have sensors don't always like to it immediately. This
• 28:11
  Speaker 1: should be like, it should be a lot smarter than that.
• 28:13
  Speaker 1: And that's part of what the revenure engine. You're that
• 28:16
  Speaker 1: guy have to stop right? You know Decatur's motto when
• 28:19
  Speaker 1: you drive in it says Decator, what's your hurry? Really? No,
• 28:23
  Speaker 1: I can kind of see it actually slow down, Decatur.
• 28:26
  Speaker 1: What's with all the baby strollers to be another one
• 28:30
  Speaker 1: road baby strollers? Why they have this big off road
• 28:34
  Speaker 1: like jogging baby stroller with the huge tires and yet
• 28:37
  Speaker 1: one of those Yeah, but that's uh, well no, I
• 28:41
  Speaker 1: mean that I don't really go off road, But that's
• 28:43
  Speaker 1: because the sidewalks in my neighborhood are awful there. They suck.
• 28:47
  Speaker 1: Ye is off road might as well be like tree
• 28:49
  Speaker 1: roots growing up everywhere, that kind of thing. Yeah, they're like, O,
• 28:52
  Speaker 1: this tree's never gonna grow, Let's put a sidewalk up
• 28:54
  Speaker 1: right next to it. Um, well, you're talking about smart cities.
• 28:59
  Speaker 1: The other cool thing part actually that they could do
• 29:01
  Speaker 1: They might actually be doing this is infrastructure, like embedding
• 29:05
  Speaker 1: sensors into sidewalks. Well, that's a good example. Like a
• 29:10
  Speaker 1: sidewalk that becomes cracked or broken, or bridge that becomes
• 29:14
  Speaker 1: weak in one point, they can send the signal and say, hey,
• 29:17
  Speaker 1: maybe you should come check out this bridge, and then
• 29:20
  Speaker 1: eventually they will send a signal to the robots sidewalk crew,
• 29:25
  Speaker 1: who will come out and prepare the sidewalk and everything
• 29:27
  Speaker 1: will look perfect all the time thanks to the robots. Right,
• 29:30
  Speaker 1: but there's forty robots and like thirty of them are
• 29:33
  Speaker 1: just standing around working And where did they learn to
• 29:38
  Speaker 1: smoke cigarettes? It seems weird to get so rubbed at
• 29:42
  Speaker 1: cigarette breakes because I didn't smoke. Yeah, and I was
• 29:45
  Speaker 1: always like, you know, I'm just gonna go stand outside
• 29:48
  Speaker 1: and the boss will be like, you can't do that. Yeah,
• 29:51
  Speaker 1: I mean you could take a break, but cigarette brakes
• 29:53
  Speaker 1: weren't even real breaks. Someone's just like a new smoke,
• 29:55
  Speaker 1: but you can never go you know, I'm just gonna
• 29:57
  Speaker 1: go stand outside for five minutes. Like you have to
• 30:00
  Speaker 1: be killing yourself to make that allowed. Yeah. No, I
• 30:03
  Speaker 1: that dawned on me when I was smoker, to like
• 30:05
  Speaker 1: that's when I was young and like, uh, you know,
• 30:08
  Speaker 1: I was more angry back then about justice. Yeah. So again,
• 30:13
  Speaker 1: we can sit here basically all day and talk about
• 30:16
  Speaker 1: you know, devices and applications for this kind of thing.
• 30:19
  Speaker 1: But there's some hurdles that are coming up that need
• 30:22
  Speaker 1: to be addressed, um pretty soon, and we'll talk about
• 30:25
  Speaker 1: those right after this. Alright, chuckers, we're back hurdles. So
• 30:45
  Speaker 1: right now, there's some immediate hurdles, including the idea that
• 30:50
  Speaker 1: a lot of smart technology operates on using totally different languages,
• 30:56
  Speaker 1: different protocols, different everything, um, so that if you have
• 31:00
  Speaker 1: a house full of different smart gadgets, you probably have
• 31:03
  Speaker 1: an app for every single one of them, rather than
• 31:06
  Speaker 1: one integrated gap or app. And that's that's a it's
• 31:10
  Speaker 1: not a hurdle, like you can have that many apps,
• 31:12
  Speaker 1: but the idea of it being seamlessly integrated into just
• 31:16
  Speaker 1: one part of your phone would be great. And if
• 31:19
  Speaker 1: they could talk to one another without you having to
• 31:22
  Speaker 1: control it. You know, like you're, um, you're the light
• 31:28
  Speaker 1: sensor on your light shade notices that the sun story
• 31:32
  Speaker 1: and you go down, so it opens your blinds a
• 31:35
  Speaker 1: little bit, right, and when that happens that you're you're smart.
• 31:38
  Speaker 1: Candle up slicer knows that you like a slice the
• 31:41
  Speaker 1: candle up before dinner, so it slices up the candle up.
• 31:44
  Speaker 1: And they're all talking to one another. So it's not
• 31:46
  Speaker 1: like everything's on a timer and things happen at once.
• 31:49
  Speaker 1: It's happening because one thing is sensing this and it's
• 31:52
  Speaker 1: relaying that information to the other devices in your house
• 31:54
  Speaker 1: is as well, that's not happening right now. Yeah, what
• 31:58
  Speaker 1: I need is I need between seven and nine am.
• 32:04
  Speaker 1: I need my toilet, toilet to flush about every eight minutes. Yeah,
• 32:09
  Speaker 1: man alive. It would be my smart house. Or as
• 32:13
  Speaker 1: soon as the coffee starts brewing seven minutes later, the
• 32:17
  Speaker 1: toilet flushes. That happens. See, coffee is good for that.
• 32:20
  Speaker 1: It's great for that. But that's another thing that's coming
• 32:22
  Speaker 1: very soon too. Smart toilets. I can tell you, like,
• 32:25
  Speaker 1: you've got a lot of Billy Rubens in here, Yeah,
• 32:27
  Speaker 1: what's up with that? It'll say, what's up with that?
• 32:32
  Speaker 1: Uh So, basically, what you're talking about is systems that
• 32:34
  Speaker 1: aren't integrated because it's a bunch of different companies with
• 32:36
  Speaker 1: all their own devices. But there are companies trying to
• 32:40
  Speaker 1: come together to um join up with open source platforms uh,
• 32:46
  Speaker 1: and one of them is created by Qualcom called the
• 32:49
  Speaker 1: All Scene Alliance, which is when like it sounds something
• 32:54
  Speaker 1: like from a future horror movie, sounds really creepy, the
• 32:58
  Speaker 1: All Scene Alliance or a new speak like we might
• 33:02
  Speaker 1: as you might as well just say, like, we want
• 33:04
  Speaker 1: a camera in every room of your home so we
• 33:07
  Speaker 1: can all just talk to each other and make your
• 33:08
  Speaker 1: life simpler, just relax, laid back. Apple's Home Kit always
• 33:15
  Speaker 1: make it sound cute and not creepy, and it's probably
• 33:18
  Speaker 1: creepier than the All Seeing the Lions. Yeah, a bunch
• 33:21
  Speaker 1: of people have one. Google, as M, Samsung, there's one
• 33:24
  Speaker 1: called everything That's missing a couple of vowels. Wink is
• 33:27
  Speaker 1: a big one. Um, it's a big one right now.
• 33:30
  Speaker 1: It controls some stuff like I think Phillips lights, and
• 33:32
  Speaker 1: it works with Nest maybe or something like that. It
• 33:35
  Speaker 1: does like two things, so it's like cutting manage right now.
• 33:38
  Speaker 1: But um, as the author of this article, Bernadett Johnson
• 33:41
  Speaker 1: puts out, none are all encompassing, which I saw that
• 33:44
  Speaker 1: and I was like, Mitch Hedberg would have like that sentence,
• 33:47
  Speaker 1: none are all encompassing. Yeah, he said he was like
• 33:49
  Speaker 1: trying new words and um rather than like totally he
• 33:53
  Speaker 1: said he was eating totally too much. They'd be like
• 33:56
  Speaker 1: Mitch to you like s'mores, and'd be like all encompassingly.
• 34:02
  Speaker 1: So another hurdle, UM that we are already getting around
• 34:05
  Speaker 1: was um. Back in the nineties, we started to realize
• 34:09
  Speaker 1: we were running out of IP addresses. The standard IP
• 34:12
  Speaker 1: address was the UH, well it still is in some ways,
• 34:17
  Speaker 1: the I p V four. Yes, I p V four,
• 34:21
  Speaker 1: And in the nineties they got smart. It wasn't like
• 34:24
  Speaker 1: the Y two K bug. We're like, oh my gosh,
• 34:27
  Speaker 1: things are going to be different in a month. Uh.
• 34:30
  Speaker 1: They got on this a while ago and created the
• 34:33
  Speaker 1: I p v six and started UH basically created uh
• 34:41
  Speaker 1: potentially what's the number, an undisillion number of at three
• 34:46
  Speaker 1: forty undisillian addresses that is one with thirty six zeros
• 34:52
  Speaker 1: behind it and enough to give uh IP addresses to
• 34:57
  Speaker 1: everyone on the planet times ten to the tw the
• 35:00
  Speaker 1: eighth power right, So basically they said, we don't want
• 35:03
  Speaker 1: to run out ever again. Well, the funny thing is,
• 35:06
  Speaker 1: Chuck is in one when they came up with the
• 35:09
  Speaker 1: I p v four that came up with four point
• 35:11
  Speaker 1: to nine five billion possible addresses. Yeah, they're like, that's
• 35:16
  Speaker 1: we're doing. And then what within like thirty thirty years,
• 35:20
  Speaker 1: thirty five years, they started really run out. And apparently
• 35:24
  Speaker 1: there was a prediction that in two thousand and fifteen
• 35:26
  Speaker 1: we were gonna straight up run out of I p
• 35:28
  Speaker 1: v four Internet addresses or IP addresses UM, and apparently
• 35:33
  Speaker 1: that was a cliff we avoided, obviously, because that's still
• 35:36
  Speaker 1: we're still making things that have their own IP addresses.
• 35:39
  Speaker 1: I thought they did run out, No, they used They
• 35:42
  Speaker 1: used different things to mitigate it, including this network address
• 35:45
  Speaker 1: translation really kind of open things up, and that's where
• 35:49
  Speaker 1: a server identifies a network as a single IP address
• 35:53
  Speaker 1: and then leads it to the local network to decide
• 35:57
  Speaker 1: where the information that's supposed to be going to. One
• 35:59
  Speaker 1: can you around the network goes see what I'm saying,
• 36:02
  Speaker 1: but to the server, to the rest of the Internet,
• 36:04
  Speaker 1: that whole network, which can be a ton of computers
• 36:08
  Speaker 1: um is just one IP address. So you just reduced
• 36:11
  Speaker 1: it by that many computers that are on that local network.
• 36:15
  Speaker 1: That was a big one. But then also building um
• 36:18
  Speaker 1: new things on the i p v six platform has
• 36:21
  Speaker 1: helped mitigate it. A little bit too. So I think
• 36:23
  Speaker 1: it's a cliff that we came very close to but
• 36:25
  Speaker 1: avoided going over. Well, it doesn't matter now because I
• 36:29
  Speaker 1: p V six is the new way forward. It is,
• 36:31
  Speaker 1: but there's a lot of stuff still in use that's
• 36:34
  Speaker 1: plenty good for the next couple of years that have
• 36:37
  Speaker 1: like I p V before p I p V four
• 36:40
  Speaker 1: addresses that still need to like they're like me too, Well,
• 36:44
  Speaker 1: that doesn't matter. They can they're compatible now. Well, they're
• 36:47
  Speaker 1: working to make them compatible. I think they're already a
• 36:49
  Speaker 1: long way down that road. They're using both seamlessly pretty much. Um,
• 36:54
  Speaker 1: there's a great wire state, well I think so. There's
• 36:57
  Speaker 1: a great Wired article about it. Uh and they basically say,
• 37:00
  Speaker 1: at first they weren't entirely compatible. Uh, you had to
• 37:04
  Speaker 1: have some sort of layer in between to make them
• 37:06
  Speaker 1: basically be friends. And um, they're still working on it.
• 37:10
  Speaker 1: It's not like finished, but it said so far the
• 37:14
  Speaker 1: transition has been pretty seamless. Like you're using you're interacting
• 37:17
  Speaker 1: with I PB six right now. You don't even know it. Yeah,
• 37:20
  Speaker 1: I would assume like if you have something that was
• 37:22
  Speaker 1: made in the last couple of years, it's probably I
• 37:24
  Speaker 1: p V six, That's what I would guess, So that's
• 37:28
  Speaker 1: pretty neat Undistillian didn't even know there was a thing.
• 37:32
  Speaker 1: I didn't either, I had to look it up. It's like,
• 37:33
  Speaker 1: what the heck is that a typo on? So I
• 37:39
  Speaker 1: don't think we can put it off any longer, Chuck.
• 37:41
  Speaker 1: There's a lot of security and privacy concerns that crop
• 37:46
  Speaker 1: up from the just the presence of the Internet of things. Right,
• 37:50
  Speaker 1: if you have a bunch of sensors in your house
• 37:52
  Speaker 1: collecting data and everything from you know how how many
• 37:56
  Speaker 1: times you toss and turn in your sleep to um,
• 38:00
  Speaker 1: you know how many minutes the toilet needs to be
• 38:03
  Speaker 1: flushed in intervals to whether you're moving around your house
• 38:07
  Speaker 1: or not, whether you're home. There's a lot of sensors
• 38:10
  Speaker 1: in in even now the standard home in the United States, UM,
• 38:15
  Speaker 1: that can that are collecting data and there's not a
• 38:19
  Speaker 1: lot of regulation on what happens to that data, who
• 38:23
  Speaker 1: has access to that data, how safe that data has
• 38:26
  Speaker 1: to be, and um, it's just wide open for government surveillance, hackers,
• 38:32
  Speaker 1: targeted ads. I mean, if you're paranoid about government stuff,
• 38:36
  Speaker 1: then this probably worries you. Hacking as a whole different
• 38:40
  Speaker 1: can of worms, like everyone should worry about that. Yeah,
• 38:43
  Speaker 1: I feel like everyone should worry about governments aveillance as well,
• 38:47
  Speaker 1: big time some people. You know, I think that's bunk.
• 38:51
  Speaker 1: But governments aveillance well some people. Yeah, sure they are fools.
• 38:58
  Speaker 1: Maybe people are utter fool and the world is full
• 39:00
  Speaker 1: of fools. That's crazy to me. How could you not?
• 39:05
  Speaker 1: I mean, like, there's there's testimony from the head of
• 39:09
  Speaker 1: the n s A. There was Snowdon releasing the prison files. Like,
• 39:12
  Speaker 1: how could anyone just say, no, that's not the case
• 39:15
  Speaker 1: any Well, what you're saying is everyone should be as
• 39:18
  Speaker 1: up on this as I am. And that's that's the
• 39:20
  Speaker 1: foolish statement. Your people on the street today, fifty of
• 39:25
  Speaker 1: them would say that's just that's just conspiracy stuff that
• 39:30
  Speaker 1: I see. I thought you were saying like people knew
• 39:32
  Speaker 1: and and they were saying like, no, this isn't a
• 39:34
  Speaker 1: real thing. No, I think I got most people probably
• 39:37
  Speaker 1: have their head in the sand of totally agree. I
• 39:39
  Speaker 1: see what you mean. I still think they're foolish and
• 39:44
  Speaker 1: and sad because there's the one thing that would press
• 39:49
  Speaker 1: security into the Internet of things. There isn't any right now,
• 39:53
  Speaker 1: there's virtually none, but I mean, it's all got to
• 39:55
  Speaker 1: be self installed, not by the person but by the company, like, hey,
• 40:00
  Speaker 1: we know you're probably worried, so we've done this, this
• 40:02
  Speaker 1: and this right. And the way that that will happen
• 40:04
  Speaker 1: is if people say, oh, that brand is not very secure,
• 40:08
  Speaker 1: I'm going to go to their competitor, which is super secure,
• 40:10
  Speaker 1: or if they get sued, sure, and that will cause
• 40:13
  Speaker 1: brands to which are self regulating right now as far
• 40:15
  Speaker 1: as security goes, to become more secure. But if people
• 40:19
  Speaker 1: are unaware of it or just don't think that kind
• 40:21
  Speaker 1: of stuff is going on, then there's not gonna be
• 40:23
  Speaker 1: any call for that, and they'll be able to continue
• 40:25
  Speaker 1: to put sensors, sensors in our home, devices in our
• 40:28
  Speaker 1: home that can you drop on us, that can detect
• 40:31
  Speaker 1: all sorts of different things about us without any thought
• 40:34
  Speaker 1: for security whatsoever. Yeah, well, they have a great example
• 40:37
  Speaker 1: in here, and it's not just the Internet of Things
• 40:40
  Speaker 1: is already happening. Um with target His dad in two
• 40:44
  Speaker 1: thousand twelve got mad because his teenage daughter was getting
• 40:50
  Speaker 1: baby ads targeted toward her, and he was like, why
• 40:54
  Speaker 1: are you trying to get my teenage daughter to have
• 40:56
  Speaker 1: a baby? Why do you keep center to this stuff.
• 40:58
  Speaker 1: And he found out she's pregnant and was like he
• 41:02
  Speaker 1: actually apologized to them, but I still think like he
• 41:06
  Speaker 1: had a beef because what I thought is they were
• 41:09
  Speaker 1: just using her search uh information to target ads like,
• 41:14
  Speaker 1: which is what goes on all the time. But she wasn't.
• 41:17
  Speaker 1: What Target does is they have every customer. Every time
• 41:23
  Speaker 1: you shop at Target with a credit card, you have
• 41:25
  Speaker 1: a guest I D number that says, oh, here's that
• 41:29
  Speaker 1: credit card from Josh Clark again, he's back in my store.
• 41:32
  Speaker 1: Here's all the things that he's bought. Uh. So let's
• 41:37
  Speaker 1: target ads at him simply by shopping there without using cash,
• 41:42
  Speaker 1: which I didn't know that happened. Well, yeah, and it
• 41:44
  Speaker 1: used to be you had to sign up for like
• 41:46
  Speaker 1: a rewards program like a Kroger cards that I understand.
• 41:50
  Speaker 1: This is the same thing without you opting into it.
• 41:53
  Speaker 1: You know. Yeah, it's just tracking your credit card. And
• 41:56
  Speaker 1: I think it's New York Times. I read one article
• 41:58
  Speaker 1: where eventually they quit talking to the New York Times,
• 42:01
  Speaker 1: but he got a little information at first, uh, And
• 42:05
  Speaker 1: he said he talked to a Target employee that said,
• 42:07
  Speaker 1: here's the hypothetical example. Let's say this. There's a girl
• 42:11
  Speaker 1: in Atlanta shopping here. She buys a cocoa butter lotion.
• 42:15
  Speaker 1: She buys a big purse that could be a diaper bag.
• 42:18
  Speaker 1: She buys magnesium supplements, uh, and a bright blue rug.
• 42:23
  Speaker 1: They might just surmise, Hey, I bet this lady's pregnant,
• 42:26
  Speaker 1: but she's gonna have a boy because she's gonna buy
• 42:29
  Speaker 1: that bright blue rug. He's gonna smell like cocoa butter.
• 42:32
  Speaker 1: And yeah, and so you know what, I bet you
• 42:34
  Speaker 1: she's doing August too, uh, determined to buy what she's purchasing.
• 42:38
  Speaker 1: So let's start bombarding her, bombarding her with ads. And
• 42:42
  Speaker 1: that just seems a little creepy if you're not opting
• 42:44
  Speaker 1: in with I mean, it's a little creepy anyway if
• 42:46
  Speaker 1: you get like the shopper's card, but you're you're saying like, sure,
• 42:51
  Speaker 1: I'll take a little bit of a discount and exchange
• 42:53
  Speaker 1: for you keeping checking my spending habits, or you willingly
• 42:57
  Speaker 1: check the box terms and conditions with reading it, Well,
• 43:00
  Speaker 1: that's I think terms and conditions should be a whole
• 43:03
  Speaker 1: other episode. Man, there's a documentary about that. Yeah, that's
• 43:07
  Speaker 1: I think it's called terms and Conditions apply and it's maybe,
• 43:11
  Speaker 1: but boy it is creepy. Yeah, you know, I think
• 43:15
  Speaker 1: no way, and they make it that long so that
• 43:17
  Speaker 1: no one would but it's yeah, And there's actually we've
• 43:20
  Speaker 1: read this uh Guardian article. Did you check that out
• 43:23
  Speaker 1: that I sent you? So in the Guardian article there's
• 43:26
  Speaker 1: a mention of Samsung which had, uh, they had terms
• 43:31
  Speaker 1: and conditions for their TV. I think it was in
• 43:33
  Speaker 1: two fourteen or fifteen that it came out and it says,
• 43:37
  Speaker 1: in the terms and conditions for the TV that you
• 43:40
  Speaker 1: bring into your home, please be aware that if your
• 43:43
  Speaker 1: spoken words include personal or other sensitive information, that information
• 43:48
  Speaker 1: will be among the data captured and transmitted to a
• 43:51
  Speaker 1: third party through your use of voice recognition, which means
• 43:55
  Speaker 1: your TV is listening to you and transmitting your conversations.
• 43:59
  Speaker 1: Are at the very least keywords from your conversations in
• 44:01
  Speaker 1: your voice to somebody else who can figure out how
• 44:04
  Speaker 1: to target ads, who can put you on a government
• 44:06
  Speaker 1: watch list, who can do anything, Which means that you're
• 44:09
  Speaker 1: talking normally in your own home and your TV's eavesdropping
• 44:12
  Speaker 1: on you. Yeah, and you uh, you think you say
• 44:15
  Speaker 1: that's okay, not you, but one says that's fine. Because
• 44:19
  Speaker 1: I don't want to touch my remote. I just want
• 44:20
  Speaker 1: to say, turn up volume. You know, yeah, I can't
• 44:25
  Speaker 1: be bothered to use my finger. Fine, Nicolas Cage movies
• 44:29
  Speaker 1: come a bad one. He didn't make bad movies, dude, kidding.
• 44:36
  Speaker 1: I used to love Andy Sandberg's Nick Cage on SNL.
• 44:40
  Speaker 1: I don't think I ever saw that one. So funny.
• 44:42
  Speaker 1: I like Nick Cage's tiny elvis. Oh yeah, that was good.
• 44:45
  Speaker 1: He was so bizarre. He's I love Nicholas Cage because
• 44:49
  Speaker 1: he's unabashed. He will do some really great smaller movies
• 44:53
  Speaker 1: where you're like, man, this dude is an amazing actor,
• 44:56
  Speaker 1: and then he'll do the worst garbage you can imagine
• 44:59
  Speaker 1: for money, yes, and just it's like, yeah, I wanna
• 45:02
  Speaker 1: buy eight new motorcycles. But I think he's a great
• 45:04
  Speaker 1: example of what a good director can do with an
• 45:07
  Speaker 1: actor if they know what they're doing with them, because
• 45:10
  Speaker 1: he does virtually the same thing in all all movies.
• 45:13
  Speaker 1: It's just how much more he's doing it and how
• 45:15
  Speaker 1: much he's reined in, or how good the script is.
• 45:18
  Speaker 1: He comes in, he's like, you want Cage or Age.
• 45:22
  Speaker 1: I mean, you're right. He has made some great movies.
• 45:24
  Speaker 1: But man, he has made some bad ones. Wow. Oh wait,
• 45:29
  Speaker 1: hold on, yeah, let's get back on track. There's one
• 45:31
  Speaker 1: other thing too. There's a big debate going on right now, Chuck,
• 45:34
  Speaker 1: about whether your phone is eaves dropping on you for
• 45:38
  Speaker 1: at the very least targeted ads. Again, if you think
• 45:41
  Speaker 1: that your phone is not eaves dropping on you, you're
• 45:46
  Speaker 1: you're deluding yourself. Your phone, your TV, your laptop, everything
• 45:52
  Speaker 1: around you that is connected to the Internet and has
• 45:54
  Speaker 1: a microphone and or a video camera is eaves dropping
• 45:58
  Speaker 1: on you. And you don't care, right, I do care,
• 46:02
  Speaker 1: But I also have a feeling like what you have
• 46:04
  Speaker 1: a smart what can I do? I know you cannot
• 46:07
  Speaker 1: have a smart phone. That's part of it. And there's
• 46:09
  Speaker 1: there's a that's a big thing. There's a there's a
• 46:11
  Speaker 1: trade off. It's like, Okay, I want to be able
• 46:13
  Speaker 1: to read Twitter every thirty seconds and just be like
• 46:16
  Speaker 1: I was boring and then do it again thirty seconds later. Um,
• 46:22
  Speaker 1: And I'm willing to trade that ability for the idea
• 46:25
  Speaker 1: that yeah, I'm being listened to in the in the
• 46:27
  Speaker 1: gamble that well, I mean, I guess I'm not saying
• 46:30
  Speaker 1: anything that important, you know, But I mean, like that's
• 46:33
  Speaker 1: that's that's wrong, Like that's wrong. Well, or the people
• 46:36
  Speaker 1: say like, well, if you don't have nothing to hide,
• 46:38
  Speaker 1: then you know, that's that's a fallacy. That's a logical
• 46:40
  Speaker 1: fallacy that a lot of the people collecting that data
• 46:44
  Speaker 1: bank on it has it still has a chilling effect
• 46:47
  Speaker 1: on on society at large. And if they ever do
• 46:49
  Speaker 1: want something on you, brother, they got it. Man, I'm sorry,
• 46:54
  Speaker 1: I'm worked up. I was driving. I mean, I'm gonna
• 47:00
  Speaker 1: be cool. Then that light didn't change green. It all
• 47:05
  Speaker 1: went south. It's a dumb traffic light, all right. So
• 47:08
  Speaker 1: we talked a little bit about hackers. Um, and we're
• 47:11
  Speaker 1: not just talking about stealing your information or tapping into
• 47:14
  Speaker 1: your bank. Um. What about if you if you're if
• 47:18
  Speaker 1: your grandmother who is a shut in, has this great
• 47:22
  Speaker 1: new smart health system that is hooked up to her
• 47:25
  Speaker 1: body and alerts her doctor if something's wrong, she's low
• 47:30
  Speaker 1: on meds. Uh. These are all great things, but what
• 47:32
  Speaker 1: if someone can hack into that and tell you know,
• 47:36
  Speaker 1: and hacking the grandma systems where it doesn't alert, then
• 47:39
  Speaker 1: her life is literally at stake. Or what if you
• 47:42
  Speaker 1: have and this has happened too, what if you go
• 47:45
  Speaker 1: into your baby's room and your baby monitor you hear
• 47:48
  Speaker 1: some guy's voice on the end of their end, yelling
• 47:50
  Speaker 1: and screaming curse words in Russian. I think that's happened
• 47:54
  Speaker 1: to your baby? Is just like, what's this guy's problem? Yeah,
• 47:58
  Speaker 1: he usually tells me nice stories. Where's Sergey wants back?
• 48:04
  Speaker 1: It's all really creepy, man. You know one of my heroes,
• 48:08
  Speaker 1: Charles c Man, who I've never heard of it. He
• 48:12
  Speaker 1: also he wrote an article in Vanity Fair called look
• 48:15
  Speaker 1: Out He's Got a Phone, and it was all about
• 48:17
  Speaker 1: the ways that the Internet of Things could be hacked
• 48:20
  Speaker 1: to like basically really threatened somebody. Like if you've got
• 48:23
  Speaker 1: a smart pacemaker or smart insulin pump, those things could
• 48:26
  Speaker 1: be hacked, you know, and that's a that's a something
• 48:29
  Speaker 1: that we're gonna have to deal with, or we're dealing
• 48:31
  Speaker 1: with now as it as it stands. Well, one of
• 48:34
  Speaker 1: the things that could help and what should be going
• 48:36
  Speaker 1: on is these devices at the very least should be
• 48:40
  Speaker 1: giving you options on how much data they get their
• 48:44
  Speaker 1: hands on, how it's stored, uh, and what the expiration
• 48:48
  Speaker 1: date on that is, Like if you quit using this device,
• 48:52
  Speaker 1: they still have your information or might still be collecting
• 48:56
  Speaker 1: it too. Yeah, absolutely, or uh, when I didn't think
• 49:00
  Speaker 1: about when these systems are no longer supported, like you know,
• 49:04
  Speaker 1: the company shuts down or something, it needs to have
• 49:08
  Speaker 1: a suicide uh measure programmed in to where it like
• 49:13
  Speaker 1: it kills itself after it's not supported anymore, and it
• 49:16
  Speaker 1: should do it gruesomely. What about economics, Well, as you
• 49:23
  Speaker 1: can imagine, if there's hundreds of billions of devices on
• 49:26
  Speaker 1: the horizon being connected, it's going to have a pretty
• 49:30
  Speaker 1: big economic impact. And they're talking about something on the
• 49:34
  Speaker 1: order of what was it four point three trillion dollars
• 49:37
  Speaker 1: in value up from nine billion? It seems low to me. Yeah,
• 49:44
  Speaker 1: you know, like think about just in cash you milk
• 49:47
  Speaker 1: alone trillion dollars. Yeah. Well, it's also costing some companies. Um.
• 49:54
  Speaker 1: How so, well, if you've heard of square, yeah, you'd
• 49:58
  Speaker 1: probably pay for a lot of things with ware of
• 50:00
  Speaker 1: these days. It's a great thing because it allows a
• 50:02
  Speaker 1: small business. Previously there was only one way to make
• 50:06
  Speaker 1: credit card transactions. You had to get a fairly expensive
• 50:10
  Speaker 1: system that uh or a cash register that you know
• 50:15
  Speaker 1: made it all possible, and you had to They kind
• 50:17
  Speaker 1: of had you over a barrel a little bit. Then
• 50:19
  Speaker 1: Square came along and said, now you know what, you
• 50:20
  Speaker 1: don't need that stuff. Let's democratize this. Yeah, we have
• 50:23
  Speaker 1: the Internet. Now here's some competition. All you need this
• 50:25
  Speaker 1: little thing to plug in to your tablet and you
• 50:28
  Speaker 1: can swipe it right there in the cab or in
• 50:31
  Speaker 1: the place of business and avoid the middlemen and use
• 50:35
  Speaker 1: or use PayPal and basically skirt these companies that have
• 50:38
  Speaker 1: kind of been ripping you off, um, as a business,
• 50:42
  Speaker 1: and then that business passes the cost on to you
• 50:44
  Speaker 1: as a customer so in a way, or they're like,
• 50:47
  Speaker 1: we don't take that credit card there, fees are too
• 50:49
  Speaker 1: high or whatever. Yeah, exactly. Um, but you're right, it's
• 50:54
  Speaker 1: the democratization, which is good. I mean it's great. It's
• 50:58
  Speaker 1: opened up a lot of a lot. It's taken etsy
• 51:01
  Speaker 1: into the real world. That's right, you know. And isn't
• 51:05
  Speaker 1: that awesome? Well yeah, Um, there's also worry that it
• 51:09
  Speaker 1: could cost jobs. Like you said, what if the lipstick
• 51:11
  Speaker 1: um stocker gets fired? Um because he threw away all
• 51:16
  Speaker 1: those orange tubes of lipstick. Yeah, he deserves that. He
• 51:18
  Speaker 1: didn't do his job good enough. Um. Well that's it.
• 51:21
  Speaker 1: Like this, I think this article kind of just kind
• 51:24
  Speaker 1: of glosses over that issue, and it's a big issue
• 51:26
  Speaker 1: in and of itself. I don't know, but I don't
• 51:28
  Speaker 1: think it glossed over it so much as there's a
• 51:30
  Speaker 1: school of thought, a very like prominent school of thought
• 51:34
  Speaker 1: that says, no, that's not what happens. People get different
• 51:38
  Speaker 1: jobs and learn new things. And the one example they
• 51:41
  Speaker 1: used in here, which I think makes sense is, um,
• 51:44
  Speaker 1: a t M s A TMS popped up everywhere and
• 51:47
  Speaker 1: people like, oh, well, there's not gonna be any more
• 51:49
  Speaker 1: bank tellers. No one needs to go to a bank,
• 51:51
  Speaker 1: And well, yeah, but they actually increased in number, right, Yeah,
• 51:55
  Speaker 1: they did, uh. And they think part of that reason
• 51:57
  Speaker 1: is because banks could open more branches because they didn't
• 52:02
  Speaker 1: need to staff it with fourteen bankers, they just needed
• 52:05
  Speaker 1: a couple. Yeah, but more branches meant ultimately more tellers,
• 52:09
  Speaker 1: just not in one place. The thing is is, I
• 52:11
  Speaker 1: I would be very curious to know whether that was
• 52:14
  Speaker 1: an anomaly like that. You know, if if typically in
• 52:18
  Speaker 1: an industry that gets replaced by a machine, a good
• 52:22
  Speaker 1: one like an a t M works pretty well, Um,
• 52:25
  Speaker 1: if they if they actually if jobs actually go up,
• 52:28
  Speaker 1: or if that was just like one of the very
• 52:30
  Speaker 1: rare examples of it. Well, I think it's it depends
• 52:33
  Speaker 1: on your industry. If you're one of the people that
• 52:36
  Speaker 1: did that thing, you're like, well, I lost my job
• 52:38
  Speaker 1: to a robot. If you build the robots, you're like,
• 52:42
  Speaker 1: I got a job because I'm now building robots. Right.
• 52:45
  Speaker 1: And again, I think we talked about this, I don't
• 52:47
  Speaker 1: remember in what episode, but if you are getting rid
• 52:51
  Speaker 1: of an industry and and putting a lot of people
• 52:54
  Speaker 1: out of their their employment your careers. Um, I'm not
• 53:00
  Speaker 1: against automating stuff like that, but I think part and
• 53:04
  Speaker 1: parcel with that is to figure out a way to
• 53:07
  Speaker 1: take those out of work people and train them to
• 53:10
  Speaker 1: go into new fields or just to to um build
• 53:14
  Speaker 1: the stuff that that took over their jobs or whatever.
• 53:18
  Speaker 1: But you can't just be like, best of luck, we
• 53:20
  Speaker 1: figured out a way for a robot to do what
• 53:22
  Speaker 1: you're doing. Go uh, go get hooked on oxyconton and
• 53:26
  Speaker 1: go die. Wait, we gotta what was that because we
• 53:29
  Speaker 1: got a great listener mail about that. Yeah, that's that's
• 53:32
  Speaker 1: what I was talking about. A certain amount of people
• 53:35
  Speaker 1: from this industry. It was a Kentucky coal coal industry
• 53:39
  Speaker 1: like that were then cross trained to do computer work.
• 53:42
  Speaker 1: Wasn't even that long ago, but I can't remember exactly
• 53:44
  Speaker 1: what it was, but that's exactly what I mean. Like,
• 53:46
  Speaker 1: that's number one. That's a role of government. In my opinion,
• 53:49
  Speaker 1: it's one of the it's one of the clear things
• 53:51
  Speaker 1: that you can look at and be like, oh, yeah,
• 53:52
  Speaker 1: that's what government's for. They're supposed to invest in infrastructure
• 53:55
  Speaker 1: and education to to um keep people employed so that
• 54:00
  Speaker 1: everyone can earn a decent wage. That's that's my soapbox.
• 54:05
  Speaker 1: This has basically been one long soapbox, hasn't it. I
• 54:07
  Speaker 1: don't think so. Well, it's the Internet of Things. There's
• 54:10
  Speaker 1: literally nothing more to speak about it. Okay, no more. Uh,
• 54:16
  Speaker 1: I'm just kidding. And if you want to know more
• 54:18
  Speaker 1: about that kind of stuff, you should go check out
• 54:19
  Speaker 1: our compadre, John Strickland's podcast, tech Stuff. I guarantee talks
• 54:24
  Speaker 1: about the Internet of Things every other week, I would imagine. Um.
• 54:28
  Speaker 1: If you want to know more about it. In the meantime,
• 54:30
  Speaker 1: you can look up this article on how stuff works
• 54:33
  Speaker 1: dot com by typing Internet of Things on the search bar.
• 54:36
  Speaker 1: And since I said things, it's time for a listener
• 54:39
  Speaker 1: mail No, sir, Oh yeah, we already did listener mail.
• 54:42
  Speaker 1: Well that's right, but we have a bonus because now
• 54:44
  Speaker 1: we're gonna finish up with part two of Administered. Okay,
• 54:58
  Speaker 1: alright again, if you're new to the show, this is
• 55:00
  Speaker 1: when we thank people for the nice things they send us.
• 55:03
  Speaker 1: And it goes a little something like this. Uh. Peter,
• 55:08
  Speaker 1: the organization People for the Ethical Treatment of Animals, they
• 55:12
  Speaker 1: send us a cat care package after our cat podcast,
• 55:16
  Speaker 1: and I think probably partially because of my soapbox on
• 55:20
  Speaker 1: declining and outdoor cats, They're like this guy, yeah, send
• 55:24
  Speaker 1: him some cats stuff. Give him some cat stuff stat.
• 55:26
  Speaker 1: So thanks for that. Put a cat in a box
• 55:28
  Speaker 1: and mail it to him. That's Peter's way. We got
• 55:32
  Speaker 1: a postcard from China from Mary Kate Mueller. Thanks a
• 55:38
  Speaker 1: lot for that, Mary Kate. We appreciate it. Beautiful. Lisa
• 55:42
  Speaker 1: of black Bow Sweets, send us some candied pecans. Dude,
• 55:46
  Speaker 1: those are dangerous. Oh yeah, they did not last long
• 55:49
  Speaker 1: in the Clarkhouse. No, almost didn't make it. On the
• 55:53
  Speaker 1: ride home, I had to be like, I, man, they're good. Uh.
• 55:59
  Speaker 1: Aaron Supper send us the bottle of Sonoma County Distilling
• 56:02
  Speaker 1: Companies west of Kentucky Bourbon number one. I haven't tried
• 56:06
  Speaker 1: it as a good I have not tried it yet either,
• 56:08
  Speaker 1: but I'm very much looking forward to it. So thanks
• 56:09
  Speaker 1: a lot eron. And speaking of whiskey, uh, thirty three Books,
• 56:14
  Speaker 1: Dave from thirty three Books sent us a whiskey tasting
• 56:18
  Speaker 1: set which is a little uh I think imported from Ireland.
• 56:23
  Speaker 1: Even a little whiskey tasting glass and book for note
• 56:27
  Speaker 1: and a pen even. Yeah, it's everything you need, everything
• 56:29
  Speaker 1: you need to taste whiskey. So thanks Dave for that. Um,
• 56:33
  Speaker 1: we got a postcard from Caitlin and her fiance from
• 56:37
  Speaker 1: the Mayo Clinic, remember the Helen Branch mentioned and I think,
• 56:41
  Speaker 1: like I think some Unsolved Mysteries. We heard the episode
• 56:46
  Speaker 1: on Unsolved Mysteries long ago. Yeah, but we got a
• 56:49
  Speaker 1: Mayo Clinic postcard. Yeah, why not? Robin and Arran sent
• 56:54
  Speaker 1: us some coasters, some Detroit coasters because they know, even
• 56:58
  Speaker 1: though we poked on a Detroit, we secretly love Detroit. Yeah,
• 57:02
  Speaker 1: thanks Robin and Aaron for that. Mark Singleton over at
• 57:05
  Speaker 1: Rudolph Food sent us a ton of pork crimes and
• 57:09
  Speaker 1: a bunch of great gear to go with it. So
• 57:11
  Speaker 1: we can wear camouflaged hat while we eat our pork
• 57:14
  Speaker 1: crimes right as it should be. Sam Meckling of Jeffson's
• 57:19
  Speaker 1: Millard of Chicago, Yeah, sent us bottles of Milord, And
• 57:24
  Speaker 1: if you've never heard of Milord, it is Chicago's own
• 57:28
  Speaker 1: special uh liqueur, it's something it is. It's um known
• 57:35
  Speaker 1: for its ah harsh aftertaste. Guess it's a good way
• 57:44
  Speaker 1: to put it. Yeah. The great thing about Mallord, though,
• 57:45
  Speaker 1: is they know the deal. They're not like, this is
• 57:49
  Speaker 1: so delicious, You're just never gonna have anything better here.
• 57:53
  Speaker 1: You seem to be having a good day. Let's change that. Um. Yeah,
• 57:57
  Speaker 1: but Mlord actually have gotten this is the best thing
• 58:00
  Speaker 1: you can say. I've gotten used to it, and um,
• 58:02
  Speaker 1: it's an interesting taste. You should try it out. Well.
• 58:05
  Speaker 1: Thanks to the dudes who sent us that, we appreciate.
• 58:07
  Speaker 1: Thank you, Sam Um. Speaking of Booze, I think we
• 58:10
  Speaker 1: mentioned it the other day, but also again, thank you
• 58:13
  Speaker 1: to the people at Spring forty four, which is a
• 58:15
  Speaker 1: Colorado distillery for the old tom Jin that they sent us. Yeah,
• 58:19
  Speaker 1: that was just beautiful yea and actually just ran out Yeah,
• 58:23
  Speaker 1: so just fire just thrown that out there. Badger body
• 58:28
  Speaker 1: body products. Um, a competitive of my own wife. Even.
• 58:31
  Speaker 1: That was Dave who sent us those Dave from Badger
• 58:34
  Speaker 1: Body Products for outam New Hampshire sentence shaving stuff and
• 58:38
  Speaker 1: sunscreen and beared oils and such. That was Dave Morrell.
• 58:41
  Speaker 1: He was the beer guy. Yeah, he worked at Sweetwater. Yeah,
• 58:44
  Speaker 1: so he used to bring a sweetwater. He's a great
• 58:46
  Speaker 1: guy and like all beer guys, he ended up in
• 58:48
  Speaker 1: New Hampshire. Um. But Emily, actually my own wife, who
• 58:53
  Speaker 1: has her natural body product company, went and she usually
• 58:56
  Speaker 1: poop boo's because people say they're natural in art. She went, oh,
• 58:59
  Speaker 1: she's like Badger's good. Actually, yeah, she's like they make
• 59:02
  Speaker 1: good stuff. So I used their beard oil. Now, well
• 59:05
  Speaker 1: thanks a lot, David. I've been using the um the
• 59:08
  Speaker 1: They have a bug repellent sun block that works, smells awesome,
• 59:12
  Speaker 1: smells like citron now that works like a charm. So
• 59:15
  Speaker 1: thank you for that. Pie Lady and Son, oh yeah,
• 59:18
  Speaker 1: out of New York. They sent us Pie Dude and
• 59:20
  Speaker 1: they were just getting started with their shipping program and
• 59:24
  Speaker 1: Pie Lady and Son I have to tell you it
• 59:26
  Speaker 1: worked great. They showed up fresh and delicious, and by
• 59:30
  Speaker 1: delicious I mean really really delicious. Yeah, thanks a lot
• 59:32
  Speaker 1: for that guy. Yeah, so you can support them as well.
• 59:34
  Speaker 1: Pie Lady and Son out of New York City. UM
• 59:38
  Speaker 1: Zach debt More sent us some beautiful cherry, walnut and
• 59:41
  Speaker 1: maplewood boxes. Those are great. Yeah, you got mine on
• 59:44
  Speaker 1: my desk. Matt Dent sent us his He's a he's
• 59:49
  Speaker 1: a comic strip guy who's created the Willie who comics
• 59:52
  Speaker 1: around for twenty five years. I know, I saw that book.
• 59:54
  Speaker 1: It's amazing. Yeah. He sent us a big collection collector's edition.
• 59:57
  Speaker 1: Congratulations Matt and Chuck. Some buddy, Uh made us a
• 1:00:01
  Speaker 1: longboard that I've got stuff. You should know, a longboard.
• 1:00:05
  Speaker 1: It's amazing. I don't know. We lost the correspondence. Who
• 1:00:08
  Speaker 1: don't know who made it? Yes, so if you made it,
• 1:00:10
  Speaker 1: send that in and we'll reach your name. Yeah, well,
• 1:00:13
  Speaker 1: thank you, but thank you very much for the longboard.
• 1:00:15
  Speaker 1: Our buttery butter buddy, Tyler Murphy, he's there, butter, He's
• 1:00:20
  Speaker 1: our butter, our bread and butter. Uh from South Dakota
• 1:00:24
  Speaker 1: sinis Um Instant Empire shirts and records, which is really cool.
• 1:00:29
  Speaker 1: And I just realized that Tyler's emails has been going
• 1:00:31
  Speaker 1: to my spam folder. I emailed them today because I
• 1:00:34
  Speaker 1: never look in there and I happened to for something else.
• 1:00:37
  Speaker 1: That's a bunch of emails from Tyler. I'm like, dude,
• 1:00:39
  Speaker 1: so sorry. Yeah. Um, Hillary lows Are and Mike Dude.
• 1:00:45
  Speaker 1: I don't know if Mike's a lows Are or not,
• 1:00:49
  Speaker 1: but Hillary Mike have been with us for years. They
• 1:00:51
  Speaker 1: are also from the Dakotas and travel to see our
• 1:00:54
  Speaker 1: shows in Seattle and they're wonderful people. Hillary is a
• 1:00:57
  Speaker 1: teacher and they as always sent us to list just
• 1:01:00
  Speaker 1: delicious flathead like cheese. Dude, that is the best cheese
• 1:01:04
  Speaker 1: on the planet. I think, who you got better cheese
• 1:01:06
  Speaker 1: and flathead like? Send it in? Let us be the
• 1:01:09
  Speaker 1: judge Rachel Stone, who is artist from Australia's East Coast.
• 1:01:14
  Speaker 1: She has a site called Land of Wonderful dot com.
• 1:01:18
  Speaker 1: She sent us a lovely handmade cards and letters. So
• 1:01:20
  Speaker 1: thanks a lot, Rachel. Uh. And then finally you got
• 1:01:23
  Speaker 1: any more? Nope? Last one. Emily and the crew at
• 1:01:26
  Speaker 1: Kickapoo Joy Drinks. Oh yeah, they have their Kickapoo Joy
• 1:01:30
  Speaker 1: Juice and their Atlanta base and they make all natural drinks, juice,
• 1:01:35
  Speaker 1: juices and sodasn't things Kickapoo Juice and they sent us
• 1:01:38
  Speaker 1: a box and that was super nice. Thanks a lot, guys.
• 1:01:41
  Speaker 1: Thanks to everybody who sent us stuff. We appreciate it
• 1:01:44
  Speaker 1: every time, so thank you. Uh. If you want to
• 1:01:47
  Speaker 1: hang out with us on social media, you can go
• 1:01:49
  Speaker 1: to s Y s K podcast on Instagram and Twitter.
• 1:01:53
  Speaker 1: You can go to Facebook dot com slash stuff you
• 1:01:55
  Speaker 1: Should Know. You can send us an email to Stuff
• 1:01:58
  Speaker 1: podcast at how stuff works dot com and is always
• 1:02:00
  Speaker 1: trying to start a home on the web. Stuff you
• 1:02:02
  Speaker 1: Should Know dot com. For more on this and thousands
• 1:02:10
  Speaker 1: of other topics, is it how stuff Works dot com