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Speaker 1: Brought to you by the reinvented two thousand twelve camera.

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Speaker 1: It's ready. Are you did? In touch with technology? With

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Speaker 1: tech stuff from house stuff works dot com. Hello everyone,

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Speaker 1: Welcome to tech stuff. My name is Chris Pollett, and

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Speaker 1: I'm an editor at house stuff works dot com. Sending

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Speaker 1: across from me as usual as senior writer Jonathan Strickline.

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Speaker 1: No one would have believed in the last years of

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Speaker 1: the nineteenth century that this world was being watched keenly

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Speaker 1: and closely by intelligence greater than man's and yet as

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Speaker 1: mortal as his own, that as men busied themselves about

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Speaker 1: their various concerns, they were being scrutinized and studied, perhaps

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Speaker 1: almost as narrowly as a man with a microscope might

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Speaker 1: scrutinize the transient creatures that swarm and multiply in a

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Speaker 1: drop of water. Burma, Why did you say, Burma? Uh?

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Speaker 1: What we just did a double quote? Um, I was

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Speaker 1: going to I didn't. We were sort of going over

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Speaker 1: what we were going to talk about. I'm gonna throw

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Speaker 1: Jonathan a very non curvy curveball here. Um. A while ago,

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Speaker 1: about maybe almost twenty years ago, is is mid nineties?

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Speaker 1: I uh listened to the founder of mind Spring Enterprises,

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Speaker 1: which was an Internet service provider here in the United States.

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Speaker 1: His name is Charles Brewer, and he was talking about

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Speaker 1: how in the future, um, and he wasn't talking distant future,

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Speaker 1: you know, he was talking realistically in the next few years.

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Speaker 1: He was saying in the mid nineties, uh, that you

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Speaker 1: would have stuff in your house. It wouldn't just be

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Speaker 1: you connecting to the internet to use email or the web.

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Speaker 1: He said, in in the next few years, your stuff

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Speaker 1: is going to be connected to the Internet and it's

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Speaker 1: going to talk to one another. And you know, he

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Speaker 1: was talking about appliances and things, and I thought, well,

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Speaker 1: that's kind of weird. I mean, how would you do that. Um.

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Speaker 1: Of course, at the time, we were still in a

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Speaker 1: very higle up world where you had to have a

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Speaker 1: modem attached to your computer or built into your computer

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Speaker 1: that dialed over the phone line and would you know,

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Speaker 1: connect to the internet. And it was very slow and

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Speaker 1: it was very spotty, and you know, it worked pretty well.

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Speaker 1: But I thought, well that that would be kind of cool.

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Speaker 1: And it seemed uh, you know, of course it's not

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Speaker 1: jet jet packs and uh, hoverboards, but it was at

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Speaker 1: the same time you know, kind of far off in

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Speaker 1: my head because I was thinking, I don't you know,

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Speaker 1: I guess people would adopt that. I don't know, it

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Speaker 1: seems kind of cool to me. Well, as it turns out,

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Speaker 1: we really have moved on to that kind of a model,

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Speaker 1: although we're not quite there yet. But um, this is

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Speaker 1: what people call the Internet of things. And the reason

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Speaker 1: we're talking about this is that actually was contacted by

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Speaker 1: a alien intelligence. Yes, but that is not what I

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Speaker 1: was going to mention. You know, now they have to

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Speaker 1: visit me again, Chris, Thank you so much, because I

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Speaker 1: had plans this weekend anyway. No, I was also contacted

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Speaker 1: by a tech conference to have a panel discussion about

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Speaker 1: this very topic, the Internet of things, and I thought, well, heck,

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Speaker 1: I'm I'm already preparing for that. Why don't we make

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Speaker 1: that a podcast as well? And here we are, so

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Speaker 1: let's talk a little bit about where we are right now. So, um,

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Speaker 1: we're still not at a point where everything is talking

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Speaker 1: to everything else, and there are a few different reasons

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Speaker 1: for that. I think one of the reasons is, uh,

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Speaker 1: like Chris was saying, you know, broadband rollout was probably

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Speaker 1: a little more gradual than we had anticipated when the

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Speaker 1: futurists were first starting to think about the possibilities of

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Speaker 1: the Internet of things. But that that's less of a

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Speaker 1: problem now for a good percentage of the population of

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Speaker 1: the United States, as well as for many other countries.

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Speaker 1: Clearly it's still a problem. Not everyone has broadband Internet

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Speaker 1: access now. In some cases, the information that these different

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Speaker 1: products would be sending back and forth would be very

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Speaker 1: small packets of data, So perhaps broadband access isn't as important.

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Speaker 1: I remember back as a nostalgic cast, as a slight tangent.

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Speaker 1: I remember buying uh. You may remember this to the

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Speaker 1: the age of when, um. There were publications like Yahoo

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Speaker 1: Internet Life back in the nineties when and there were

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Speaker 1: books too with Internet sites on them, and you would go, Okay,

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Speaker 1: so I got this Internet thing, what am I going

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Speaker 1: to do with it? One of the things I've had

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Speaker 1: in a book was this UH drink machine that was

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Speaker 1: hooked up to the Internet and you could and this

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Speaker 1: was all text. This is not you know, pretty worldwide

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Speaker 1: web stuff. This was You would ping the machine and

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Speaker 1: it would tell you how many of each drink it

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Speaker 1: had sold that day. And I was thinking, so you

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Speaker 1: can figure out how many people within the population of

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Speaker 1: that region had diabetes. Well was a it was a

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Speaker 1: college campus. Now, okay, so all of them. Yeah, so

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Speaker 1: we're we're talking about remember when we've talked about the

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Speaker 1: early Internet, the places that were wired, we're basically government

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Speaker 1: facilities and um educational institutions. So yes, they had broad

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Speaker 1: basearch facilities. Exactly, they had broadband people in the the

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Speaker 1: computer science department and whirre their drink machine and you

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Speaker 1: could pin it, you know, because why not? That's more

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Speaker 1: or less the deal. And that was why it was interesting,

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Speaker 1: because why not? But yeah, I mean, and and it

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Speaker 1: can be useful looking at it today. You could have

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Speaker 1: a vendor looking at okay, well we don't need to

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Speaker 1: restock this one today, send somebody out there. You can,

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Speaker 1: you could consolidate, but back then it was just for fun.

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Speaker 1: Right today, it makes a lot of sense. Like if

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Speaker 1: you own a vending machine company and you stock those

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Speaker 1: vending machines and you are able to look at a

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Speaker 1: glance and see where you need to send a delivery

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Speaker 1: person in order to restock those machines, then you may

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Speaker 1: not need as many delivery people on your staff because

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Speaker 1: you don't have to have someone go out and physically

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Speaker 1: check each machine, and and if the machines can alert

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Speaker 1: you if something's wrong, then you know to send someone

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Speaker 1: out to repair it. Um, there are a lot of

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Speaker 1: you know, you don't have to wait for a call

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Speaker 1: from a client or happen or for your maintenance guy

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Speaker 1: to happen upon it on a on a scheduled series

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Speaker 1: of rounds. Uh. Yeah, there are a lot of different

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Speaker 1: reasons for it. And then we have the consumer side,

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Speaker 1: like actual consumer products, not just you know, commercial products, huh,

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Speaker 1: and the possibilities that that holds. And they're already products

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Speaker 1: out on the market right now that have some form

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Speaker 1: of network capability. Um, they don't tend to all work

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Speaker 1: together necessarily, like you might have a bunch of independent

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Speaker 1: networks within your home network. Right. So for example, uh,

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Speaker 1: you could have a you can be purchasing your appliances

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Speaker 1: from a single company and you get a washer and

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Speaker 1: a dryer, and they have this connectivity ability so that

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Speaker 1: the washer and the dryer share information with each other.

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Speaker 1: So when you put a load of laundry in the

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Speaker 1: washer and you set it to a particular kind of setting,

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Speaker 1: like let's say it's permanent press, it sends that information

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Speaker 1: to the dryer, so that the dryer already has the

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Speaker 1: proper settings ready to go when you transfer the wash

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Speaker 1: from the washer dryer, so that way you don't have

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Speaker 1: to reset the dryer settings. It's already taken care of. Uh.

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Speaker 1: It might also even send you an alert somehow through

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Speaker 1: through the internet so that you know when your loads

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Speaker 1: laundry are done. So you might get a ping on

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Speaker 1: a smartphone or a tablet or your computer, or if

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Speaker 1: we're going to look into the future a little bit,

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Speaker 1: your television. Because you've got internet connected televisions out there.

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Speaker 1: It's only a matter of time before we get to

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Speaker 1: a point where these internet connected televisions have a the

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Speaker 1: ability to show alerts that are related to other appliance

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Speaker 1: that are in your house. We're not quite there yet,

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Speaker 1: but that's mainly because the approach most companies are taking

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Speaker 1: is to create a proprietary communication protocol for their products. Right,

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Speaker 1: so Company a's products do not communicate with Company bees products.

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Speaker 1: So unless you're buying everything from the same company, then

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Speaker 1: the the communication protocols aren't compatible and they don't understand

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Speaker 1: each other. They can't communicate. You need to C three

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Speaker 1: PO right there in the middle because they can speak

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Speaker 1: over six million different languages, including vaporators. One of their

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Speaker 1: first jobs was anyway, um, the point being that you know,

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Speaker 1: the odds of you finishing that quote or yeah, never

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Speaker 1: tell me the odds. Many both died to bring us

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Speaker 1: this podcast. So the the the different the different networks

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Speaker 1: can't really communicate with one another. So that's kind of

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Speaker 1: where we are right now. But we do have lots

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Speaker 1: of products out there, including ones like refrigerators that can

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Speaker 1: talk to stove and ovens. So you've got again from

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Speaker 1: the same company. So you might have a refrigerator that's

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Speaker 1: Internet connected and you think, well, why would I want that? Well,

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Speaker 1: if you haven't a fridge that connects to the internet

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Speaker 1: and it actually is able to keep an inventory of

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Speaker 1: the stuff that you put within that fridge, you know,

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Speaker 1: if there's some method whether you know you want it

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Speaker 1: to be as seamless as possible. Ideally you would have

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Speaker 1: a method in there where when you put something in

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Speaker 1: the fridge, it automatically detected its presence, knew what it was,

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Speaker 1: and logged it so it would know when you put

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Speaker 1: it in there, uh, and it would know what it was.

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Speaker 1: And even in a real ideal situation. It would know

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Speaker 1: when that product expires, so it could tell you, like, hey,

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Speaker 1: you've got some milk in the fridge. It's about to

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Speaker 1: go bad because it's muscling up to the potato salad,

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Speaker 1: So you want to make sure you're gonna go ahead

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Speaker 1: and drink that. Um, So just don't walk in on

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Speaker 1: the mayonnaise. It's dress boy. We were definitely punchy. We

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Speaker 1: recorded an episode that had more bloopers in it than

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Speaker 1: the previous previous three years of recording combined. So we're

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Speaker 1: all punchy now. But anyway, Yeah, the fridge would be

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Speaker 1: able to keep you alert on what you have in

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Speaker 1: your fridge. It could even give you recipes for stuff

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Speaker 1: that you can make based upon what is in the

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Speaker 1: refrigerator right now. So for example, you might think, well,

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Speaker 1: why am I gonna have for dinner tonight and you

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Speaker 1: could ask You could ask your refrigerator and they could say, well,

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Speaker 1: based upon what you've got in the fridge, this is

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Speaker 1: the kind of stuff you can make. Or it may

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Speaker 1: say you could have this meal. You just need to

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Speaker 1: go out and buy this, this, and this, so the

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Speaker 1: ingredients are complete and and with the possibility of purchasing

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Speaker 1: stuff online. You could even get to a point where

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Speaker 1: you you you authorize through your fridge purchases. Well, and

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Speaker 1: and that's the the Well, there are two sort of

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Speaker 1: things that that occurring to me to sort of funny things. UM.

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Speaker 1: One of which is, there's no reason we can't do

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Speaker 1: this right now or or really a couple of years ago.

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Speaker 1: It's just we haven't. UM. So it's not it's not

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Speaker 1: a a technology that we're waiting for it to develop. UM.

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Speaker 1: This is all pretty simple stuff really when you get

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Speaker 1: right down to it. UM. The other the other promise,

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Speaker 1: I mean, this really could be a very convenient thing

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Speaker 1: if they go forward with it, because it's the kind

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Speaker 1: of thing that you're you're talking about that would make

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Speaker 1: life really easy if you have the money to buy

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Speaker 1: this kind of stuff and the services available to you.

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Speaker 1: So let's say you have UM, your internet connected fridge

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Speaker 1: and the services necessary to complete this conversation. So you

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Speaker 1: got stuff in the fridge and some of it's starting

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Speaker 1: to expire and you've used some of it. So UH,

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Speaker 1: there are f I D tags radio frequency identification tags

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Speaker 1: on your things. So you have UM milk and UH,

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Speaker 1: you have cheese and things like that, and as you

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Speaker 1: use it up, the fridge realizes, hey, it's no longer

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Speaker 1: in the fridge. Um, so I'm going to Uh, Jonathan

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Speaker 1: has already said that he wants more milk as soon

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Speaker 1: as he runs out of milk, So I'm gonna place

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Speaker 1: an order with the local shopping delivery company and they're

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Speaker 1: just gonna bring Jonathan more milk and they're gonna build

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Speaker 1: it to his card, so he gets a regular delivery

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Speaker 1: of milk because he's out, and uh, the fridge has

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Speaker 1: automatically told his local delivery company, Hey, uh, he needs

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Speaker 1: milk and celery and other stuff you know that he's

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Speaker 1: run out of or he wants to make this this meal. Um.

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Speaker 1: So really this could be ultra convenient because you could

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Speaker 1: just have stuff show up, go ahead and put it

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Speaker 1: in the fridge, and it just runs on a normal

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Speaker 1: cycle like that, so you don't have to make shopping

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Speaker 1: trips and uh, you don't have to look through the

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Speaker 1: fridge to identify what you're gonna eat. But that's all

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Speaker 1: sort of a well what if because in the in

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Speaker 1: the nineties, when um, these types of delivery services we're

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Speaker 1: starting to take off, it was kind of early for

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Speaker 1: them to do so and I think it's scared a

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Speaker 1: lot of people, which is why you don't they're they're

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Speaker 1: sort of hit or miss. They're in some places but

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Speaker 1: not another's. They're in a enighble head down the street,

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Speaker 1: but they won't deliver to your house. A lot of

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Speaker 1: these scases back in the day, they expanded too quickly,

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Speaker 1: they got they got so large that they weren't able

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Speaker 1: to uh, to handle their own they weren't able to

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Speaker 1: administrate the size of the company, and so as a result,

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Speaker 1: they eventually collapsed in on themselves. Because it's not a

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Speaker 1: cheap business to be in. You know, it's a lot

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Speaker 1: of warehouse management, a lot of deliveries. Uh, it's it's

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Speaker 1: a tricky business. But also I was going to mention

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Speaker 1: that the other possibilities. So we were talking mainly about

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Speaker 1: just the fridge interacting with the Internet, but it could

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Speaker 1: also interact with the other appliances in your home, for example,

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Speaker 1: your stove. So let's say that you have determined that

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Speaker 1: you know, the fridge is suggested, Hey, you've got the

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Speaker 1: right ingredients here for a pot roast. Uh, And heck,

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Speaker 1: you can even have a crock pot that has Internet connectivity,

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Speaker 1: and so it starts the it starts the croc pot

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Speaker 1: heating up at the right time so that you just

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Speaker 1: all you do is dump them the radiance into it

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Speaker 1: and you and you walk away, um or you have

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Speaker 1: you wanna you wanna end up like baking something, and

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Speaker 1: so it ends up sending that information to the oven

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Speaker 1: when you're prepared, So that way, the oven starts to

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Speaker 1: preheat while you're actually getting your ingredients together, and you

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Speaker 1: never had to go and turn anything on yourself. It's

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Speaker 1: all controlled because the devices themselves are aware of what

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Speaker 1: it is you're trying to do. So this is sort

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Speaker 1: of the promise of the Internet of things in general.

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Speaker 1: But you know what we're talking about appliance, is that

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Speaker 1: the reason why we're talking about that is because those

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Speaker 1: are things that exist on the market right now. The

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Speaker 1: same sort of thing is true for experiences. If you

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Speaker 1: have say a smartphone, a tablet, and maybe even a

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Speaker 1: video game console or set top box. Uh, you can

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Speaker 1: have these sort of experiences right now within a separate

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Speaker 1: kind of network. So let's use Netflix as an example. Alright,

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Speaker 1: Let's say have a Netflix account and I have access

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Speaker 1: to a Netflix film or television show on my phone

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Speaker 1: and I'm watching it, and then I stop, you know,

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Speaker 1: I pause in the middle, and then a little bit later,

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Speaker 1: I pick up my tablet and I watch a little

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Speaker 1: bit more of it. It picks up right where it

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Speaker 1: left off, and then I pause. And then when I

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Speaker 1: get home, I turn on my TV and my set

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Speaker 1: top box that happens to have Netflix capability, and I

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Speaker 1: start and it picks up again right where I left off.

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Speaker 1: And so this is an experience that continues, and it

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Speaker 1: doesn't matter what the context is. It follows me. It's

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Speaker 1: context independent, so I don't have to worry about fast

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Speaker 1: forwarding to get to the right section, so I can

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Speaker 1: pick up where I left off. It's going to just

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Speaker 1: do that automatically. This is a really valuable experience to consumers,

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Speaker 1: and it's the sort of thing that the Internet of

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Speaker 1: Things really promises, is this idea of a seamless experience

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Speaker 1: where you go from environment to environment and the environment

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Speaker 1: adjusts to you and gives you the experience you want

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Speaker 1: um based upon whatever your preferences are, and it may

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Speaker 1: be that you have to express those preferences in a

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Speaker 1: very um order way, and may in fact, I would

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Speaker 1: guess that the early early versions of this technology are

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Speaker 1: going to require a lot of input on our part

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Speaker 1: to be to work correctly. But future systems will have

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Speaker 1: a lot of learning behaviors build into them so that

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Speaker 1: based upon your behaviors in the past and the things

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Speaker 1: that you've already done, they can anticipate what you want

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Speaker 1: in the future and start to set things up so

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Speaker 1: that they will be ideal for you before you even

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Speaker 1: are necessarily conscious of it. And UH and we're seeing

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Speaker 1: some of that too, Like the Nest thermostat is a

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Speaker 1: good example. So Nest thermostat is a programmable thermostat that

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Speaker 1: has some learning algorithms in it that can, you know,

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Speaker 1: based upon the way you adjust the thermostat throughout the day,

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Speaker 1: can start to automatically make those adjustments for you. And

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Speaker 1: you can also at any time going and manually change

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Speaker 1: it either in the house or building yourself, or you

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Speaker 1: can even access it over the internet. So there are

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Speaker 1: opportunity these there for other appliances that do similar things

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Speaker 1: to to do that. And then we've got other UH

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Speaker 1: possibilities as well. For example, that you you're watching TV

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Speaker 1: and you see a product on television and you know

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Speaker 1: you are the ultimate impulse buyer and you think I

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Speaker 1: want that. Well, with the Internet of Things, you can

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Speaker 1: get to a point where and a lot of companies

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Speaker 1: have been trying to do this, figure out a way

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Speaker 1: where you can if you see something on the screen

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Speaker 1: that you want, you can indicate I want that and

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Speaker 1: then go and purchase it, uh, in a very easy,

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Speaker 1: seamless way, so that you don't have to open up

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Speaker 1: a tablet or or smartphone application or pop open a

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Speaker 1: computer in order to say this thing I saw on TV,

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Speaker 1: I want that. Make that mine. Um, yeah, my TV

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Speaker 1: provider already does that to some extent. Yeah, yeah, there's

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Speaker 1: there's some of that built in. It's it's still not

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Speaker 1: widespread and it's still not truly seamless, but it's getting better.

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Speaker 1: And that's another thing where we expect to see. But

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Speaker 1: when we talk about the Internet of Things, you have

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Speaker 1: to think bigger than that. Like we're still talking appliances

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Speaker 1: and and you know, entertainment centers and stuff, so radio's

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Speaker 1: TVs and computers and all that. But but this is

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Speaker 1: really about putting computers and sensors and actuators in lots

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Speaker 1: of things. Yeah, well, one of them, I would say

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Speaker 1: one of the most mature Internet of things environments. Is

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Speaker 1: the smart home where you've got uh, you know, your lights,

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Speaker 1: your climate control, your garage door, um, your the locks

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Speaker 1: on your front door. The sh leg Link system that

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Speaker 1: you uh you wrote on that for the for the website. Yeah,

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Speaker 1: I'm not. Yeah, there's a you know, there's a a

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Speaker 1: schleg Lock article I wrote and it was a few

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Speaker 1: years ago about the system because it was something I

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Speaker 1: saw at ce S where you could access the lock

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Speaker 1: on your front door from the internet and from a

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Speaker 1: smartphone you could unlock your door. So let's say that

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Speaker 1: you have a repairman showing up at a certain time,

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Speaker 1: you could, um, you can unlock the door for that person.

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Speaker 1: You can also do things like set up pass codes,

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Speaker 1: temporary pass codes. They would only work within a certain

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Speaker 1: block of time and outside of that they would no

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Speaker 1: longer work. So that way, you could give a pass

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Speaker 1: code to someone so that they could, you know, maybe

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Speaker 1: walk your dogs or what are your plants or whatever

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Speaker 1: it is, and then as soon as as soon as

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Speaker 1: that time expand it is over, it'll just automatically lock again.

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Speaker 1: So yeah, I mean, that's that's the sort of stuff

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Speaker 1: that you can see in a smart home. That and

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Speaker 1: alarm systems things like that you can you can watch

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Speaker 1: um uh it's easy to if you have the camera setup,

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Speaker 1: you can see what's going on at your home. UM.

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Speaker 1: If if you're like me and you go, did I

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Speaker 1: turn on the alarm? Did I lock the door? You

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Speaker 1: can do you can take care of it. You know,

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Speaker 1: if you get down the road, you can pull over

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Speaker 1: and get on your smartphone and make sure that you

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Speaker 1: lock your door and make sure that you turn the

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Speaker 1: alarm on. UM and maybe the stove off, you know,

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Speaker 1: those kinds of things. And that's something that that is

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Speaker 1: already pretty well established in the market. Also, the smart

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Speaker 1: meters that they've been putting in a lot of cities

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Speaker 1: where um, they don't have to send out a meter

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Speaker 1: reader to your to check your electricity. They can check

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Speaker 1: that from AFAR. And what what's funny to me is

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Speaker 1: that it didn't move quickly enough for Google and Microsoft,

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Speaker 1: who have now shut down their services. Well, I think

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Speaker 1: that was mostly because the uh, the companies that installed

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Speaker 1: the smart meters were not willing to share with Google

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Speaker 1: and Microsoft um. And the two companies were just saying,

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Speaker 1: you know what, if you guys aren't gonna help us out,

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Speaker 1: We're gonna shut these down and we're not gonna mess

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Speaker 1: with it anymore. But I think that will eventually come back.

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Speaker 1: But cars to are are online in ways that they

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Speaker 1: hadn't been before. And and again, if we're talking about

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Speaker 1: the future, you can imagine a system, a system where

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Speaker 1: cars all have technology UH installed, whether it's retrofitted or

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Speaker 1: just off the assembly line where UH there are there

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Speaker 1: can be sensors like collision detection sensors and alarm systems.

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Speaker 1: There can even be override systems where UH the you know,

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Speaker 1: we've seen this with like Google self driving cars. You

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Speaker 1: can you can imagine that being incorporated into vehicles off

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Speaker 1: the line where UM if you wanted to, you could

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Speaker 1: engage it so that the car drives itself and because

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Speaker 1: as these other UH sensors, it can navigate through traffic

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Speaker 1: without there being a danger of a collision, especially if

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Speaker 1: all the other cars are also on the same system.

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Speaker 1: Then you've got a computer that can manage everything so

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Speaker 1: that you get to where you're going in the most

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Speaker 1: efficient manner possible, which would be a huge relief. You know,

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Speaker 1: theoretically you could avoid traffic jams because a lot of

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Speaker 1: traffic jams depend upon human behavior and not necessarily something

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Speaker 1: uh that's actually actively blocking the street, although that could

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Speaker 1: happen too if there were if there were an incident

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Speaker 1: where something was blocking the street, then obviously that would

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Speaker 1: still be a problem, although a really robust system could

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Speaker 1: potentially navigate around that so that the the the impact

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Speaker 1: would be minimal on traffic. Uh. And you could also

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Speaker 1: see sensors being built into the infrastructure itself, so not

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Speaker 1: just the cars, but in streets uh and in the

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Speaker 1: you know, signs, things like that, so that it could

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Speaker 1: uh there, the system itself could maintain how much traffic

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Speaker 1: is going across it on a given day, help change

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Speaker 1: things like traffic light patterns. Um. So you're talking about

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Speaker 1: a system that's much more flexible and can change on

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Speaker 1: the fly, uh and possibly possibly helps cities like Atlanta

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Speaker 1: with their horrible, horrible traffic problems. Atlanta's way up there, guys,

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Speaker 1: Los Angeles, Atlanta. I mean, we're we're hurting and we

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Speaker 1: we could we could use the help. So so I

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Speaker 1: had some statistics. Let me read you them. UM actually

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Speaker 1: was if you if you're interested in reading more about

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Speaker 1: the Internet of Things, I would also recommend um read

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Speaker 1: right Web, which is one of my favorite tech sites anyway.

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Speaker 1: But they have a whole section on Internet of things articles, UM,

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Speaker 1: and uh they had one where they quoted statistics from

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Speaker 1: the g s M A of All People. UM. This

427
00:23:16,200 --> 00:23:18,960
Speaker 1: is an organization. Uh you might know from our other

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00:23:19,000 --> 00:23:23,080
Speaker 1: podcasts about cell phones. UM. But they're studying how well

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Speaker 1: connected things are because well, an Internet of things would

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Speaker 1: be beneficial for them because they are the kinds of

431
00:23:30,280 --> 00:23:33,400
Speaker 1: things that you would manage through a smartphone. So it's

432
00:23:33,400 --> 00:23:36,600
Speaker 1: it's definitely something that they're interested in. UM. They said that, Uh,

433
00:23:36,640 --> 00:23:40,840
Speaker 1: in twenty eleven, there were about nine billion devices connected

434
00:23:40,840 --> 00:23:42,919
Speaker 1: to the Internet around the world. About six billion of

435
00:23:42,960 --> 00:23:45,439
Speaker 1: them are are something that you can carry with you.

436
00:23:45,880 --> 00:23:50,920
Speaker 1: But by they expected uh, twenty four billion connected devices

437
00:23:50,960 --> 00:23:53,840
Speaker 1: and about half of those would be mobile. UM. So

438
00:23:53,880 --> 00:23:59,440
Speaker 1: it's definitely something that is that is growing exponentially. UM.

439
00:23:59,480 --> 00:24:02,560
Speaker 1: But it's at the same time, it's it's one of

440
00:24:02,600 --> 00:24:05,600
Speaker 1: those things that they're they're you know, as long as

441
00:24:05,640 --> 00:24:07,720
Speaker 1: everything is working the way it's supposed to and people

442
00:24:07,760 --> 00:24:11,760
Speaker 1: are behaving themselves, it's great because it can be real

443
00:24:11,840 --> 00:24:14,639
Speaker 1: time saving. UM. It can give you opportunities to to

444
00:24:14,920 --> 00:24:17,399
Speaker 1: do other things with your time and with your money

445
00:24:17,400 --> 00:24:22,520
Speaker 1: and really improve efficiency and turn things off that don't

446
00:24:22,560 --> 00:24:25,840
Speaker 1: need to be powered on electricity. You could improve your

447
00:24:25,920 --> 00:24:29,360
Speaker 1: quality of life to all kinds of people. Yeah, and

448
00:24:29,560 --> 00:24:32,120
Speaker 1: uh so, yeah, there are a lot of potential benefits.

449
00:24:32,160 --> 00:24:35,399
Speaker 1: I mean, and we're still not even finished with all

450
00:24:35,440 --> 00:24:38,520
Speaker 1: the possibilities. I mean, there could be sensors built into

451
00:24:38,600 --> 00:24:42,960
Speaker 1: clothing should tell the clothing when it's dirty and when

452
00:24:42,960 --> 00:24:45,159
Speaker 1: it needs to be washed, and it could well what

453
00:24:45,280 --> 00:24:47,240
Speaker 1: would work great until you wash it and then you

454
00:24:47,280 --> 00:24:49,280
Speaker 1: know short circuits. Well, yeah, you got you have to

455
00:24:49,280 --> 00:24:51,080
Speaker 1: build in the right kind of fabrics so that you

456
00:24:51,119 --> 00:24:53,440
Speaker 1: can wash it. But we could get to a point

457
00:24:53,440 --> 00:24:55,639
Speaker 1: where sensors are built into clothing so that when you

458
00:24:55,680 --> 00:24:58,679
Speaker 1: put them in the washer, the washer detects from the

459
00:24:58,720 --> 00:25:00,800
Speaker 1: sensors what kind of clothes they are and what kind

460
00:25:00,800 --> 00:25:02,920
Speaker 1: of cycle it needs to go through. So then you

461
00:25:02,960 --> 00:25:05,840
Speaker 1: get to a point where you know, you just need

462
00:25:05,880 --> 00:25:08,199
Speaker 1: a robot to disrobe you and put it into the

463
00:25:08,200 --> 00:25:09,919
Speaker 1: washer and other and then you don't have to do

464
00:25:09,960 --> 00:25:15,160
Speaker 1: anything else. Uh thank yeah, she needs a bonus. So

465
00:25:15,240 --> 00:25:18,479
Speaker 1: the uh yeah, there's there are a lot of different

466
00:25:18,480 --> 00:25:21,720
Speaker 1: things that could happen and and uh, you know, we're

467
00:25:21,720 --> 00:25:24,679
Speaker 1: talking about a point where these sensors and these computer

468
00:25:24,760 --> 00:25:28,439
Speaker 1: systems are pervasive. They need to be both pervasive and transparent.

469
00:25:28,520 --> 00:25:31,439
Speaker 1: And by that, I mean for this system to be

470
00:25:31,520 --> 00:25:33,880
Speaker 1: something that works seamlessly. You don't want to you don't

471
00:25:33,880 --> 00:25:36,600
Speaker 1: want to see all the wires what I'm getting at

472
00:25:37,040 --> 00:25:39,679
Speaker 1: so uh and and there are a lot of companies

473
00:25:39,720 --> 00:25:43,000
Speaker 1: working to kind of tackle that problem. Now, there is

474
00:25:43,520 --> 00:25:48,439
Speaker 1: another major concern that arises out of this world of

475
00:25:48,480 --> 00:25:51,679
Speaker 1: the future. Well, one of the concerns I was thinking of,

476
00:25:51,720 --> 00:25:54,040
Speaker 1: and I think it's not the one that you're about

477
00:25:54,040 --> 00:25:56,399
Speaker 1: to say, um, because I think the other one that

478
00:25:56,440 --> 00:25:59,240
Speaker 1: you're about to say is bigger. But I mean it's um.

479
00:25:59,760 --> 00:26:02,680
Speaker 1: Taking down the Internet at that point becomes a much

480
00:26:02,720 --> 00:26:06,199
Speaker 1: bigger deal, because I mean you see that all the

481
00:26:06,240 --> 00:26:09,880
Speaker 1: time in UH, in corporate America. You know, everybody has

482
00:26:10,000 --> 00:26:12,920
Speaker 1: a computer on their desk now, and then when something

483
00:26:12,960 --> 00:26:16,280
Speaker 1: happens at the network, nobody gets anything done. And that's

484
00:26:16,280 --> 00:26:19,280
Speaker 1: going to happen when everybody gets used to the Internet

485
00:26:19,280 --> 00:26:22,640
Speaker 1: of things and suddenly there's a network outage or power outage.

486
00:26:22,840 --> 00:26:25,000
Speaker 1: I can't cook, my fridge won't tell me what to make,

487
00:26:26,160 --> 00:26:29,679
Speaker 1: and and yes it's a joke, but people. Once you

488
00:26:29,720 --> 00:26:34,080
Speaker 1: get reliant on that technology, when there is a glitch

489
00:26:34,200 --> 00:26:36,960
Speaker 1: or a network problem or something like that, it it

490
00:26:37,040 --> 00:26:39,800
Speaker 1: throws us off. Um and it could. You know, we've

491
00:26:39,840 --> 00:26:43,119
Speaker 1: got all our traffic lights and everything, all our traffic

492
00:26:43,119 --> 00:26:46,520
Speaker 1: systems online, and oh the power grid is overwhelmed and

493
00:26:46,560 --> 00:26:51,280
Speaker 1: it shut down. Now the internet out grid. See when

494
00:26:51,280 --> 00:26:53,760
Speaker 1: you have the smart grid than the power grid's fine? No, no, no,

495
00:26:53,840 --> 00:26:55,719
Speaker 1: you're you're totally right. And and of course a lot

496
00:26:55,760 --> 00:26:59,000
Speaker 1: of these systems, especially the ones that are related to infrastructure,

497
00:26:59,400 --> 00:27:04,080
Speaker 1: would by necessity require redundant systems that are even if

498
00:27:04,119 --> 00:27:08,959
Speaker 1: they are the old preconnected systems, they would be necessary. So,

499
00:27:09,040 --> 00:27:13,479
Speaker 1: for example, your smart grid traffic light system may revert

500
00:27:13,560 --> 00:27:16,760
Speaker 1: back to a pre smart grid version so that it's

501
00:27:16,800 --> 00:27:19,320
Speaker 1: still working. You know, it's still working, it's just not

502
00:27:19,800 --> 00:27:22,760
Speaker 1: it's just not flexible like it used to be. Um

503
00:27:22,880 --> 00:27:24,680
Speaker 1: or at least you get maybe the flashing red lights

504
00:27:24,720 --> 00:27:28,800
Speaker 1: and hopefully people treated like a four was stop in Atlanta.

505
00:27:28,880 --> 00:27:30,880
Speaker 1: That's a that's a hope that you make in Vain.

506
00:27:31,240 --> 00:27:34,159
Speaker 1: I'm to the point now where I'm not flexible like

507
00:27:34,200 --> 00:27:37,080
Speaker 1: I used to be either. I can't even put on

508
00:27:37,119 --> 00:27:39,439
Speaker 1: my own shoes anymore. Um, it also would be a

509
00:27:39,440 --> 00:27:42,560
Speaker 1: tantalizing target for a terrorist. And I'm not just saying

510
00:27:42,600 --> 00:27:45,120
Speaker 1: that because it's alliterative, but it's the kind of thing

511
00:27:45,160 --> 00:27:47,800
Speaker 1: that that you know, what, if you're looking for a

512
00:27:47,840 --> 00:27:52,240
Speaker 1: way to disrupt people's lives and cause panic, that could

513
00:27:52,440 --> 00:27:55,720
Speaker 1: do it. Yeah, if you're Yeah. Part of the part

514
00:27:55,760 --> 00:27:57,760
Speaker 1: of the defense of that is that the Internet is

515
00:27:58,040 --> 00:28:01,399
Speaker 1: pretty darn robust and and there are a lot of

516
00:28:01,440 --> 00:28:04,280
Speaker 1: different ways of working around problems. But if you were

517
00:28:04,320 --> 00:28:06,960
Speaker 1: able to find a way to, I don't know, inflict

518
00:28:07,040 --> 00:28:11,919
Speaker 1: a a widespread virus that could uh could come up

519
00:28:11,960 --> 00:28:14,080
Speaker 1: the works, and that could be enough to really make

520
00:28:14,080 --> 00:28:16,760
Speaker 1: an impact. But you know, trying to actually take down

521
00:28:16,800 --> 00:28:19,200
Speaker 1: the Internet in the sense of I want to target

522
00:28:19,680 --> 00:28:22,520
Speaker 1: the Internet because everyone's connected to it and if I

523
00:28:22,520 --> 00:28:25,280
Speaker 1: if I shut it down, then it's going to cause chaos.

524
00:28:25,760 --> 00:28:28,480
Speaker 1: That's a huge endeavor. I mean, that's not something that's

525
00:28:28,480 --> 00:28:32,240
Speaker 1: easily done. But yeah. The other big concern, the major

526
00:28:32,320 --> 00:28:34,960
Speaker 1: one that I think a lot of consumers should keep

527
00:28:34,960 --> 00:28:37,719
Speaker 1: in mind, is privacy issues. So if you've got an

528
00:28:37,760 --> 00:28:40,280
Speaker 1: Internet of things, you've got all these sensors around you,

529
00:28:40,680 --> 00:28:43,880
Speaker 1: and you've and on you potentially um in the various

530
00:28:43,920 --> 00:28:46,760
Speaker 1: things that you're carrying or possibly even wearing. Well, then

531
00:28:47,200 --> 00:28:50,200
Speaker 1: you could be you know, worried about your privacy because

532
00:28:50,240 --> 00:28:53,440
Speaker 1: because the same systems that can make the environment so

533
00:28:53,520 --> 00:28:56,880
Speaker 1: pleasant for us and to customize our experience in such

534
00:28:56,920 --> 00:29:00,400
Speaker 1: a way that we have the best sort of uh

535
00:29:01,040 --> 00:29:05,400
Speaker 1: experience possible. I mean, imagine walking through a building that

536
00:29:05,520 --> 00:29:10,440
Speaker 1: automatically is adjusting to your preferences so that the lighting

537
00:29:10,640 --> 00:29:12,240
Speaker 1: is just the way you would like it, and the

538
00:29:12,480 --> 00:29:17,000
Speaker 1: the ambient noise is just what you would want. That's

539
00:29:17,120 --> 00:29:20,120
Speaker 1: that's a neat vision of the future. But it also

540
00:29:20,160 --> 00:29:22,360
Speaker 1: means that there's a system that knows that you are there.

541
00:29:23,320 --> 00:29:25,720
Speaker 1: They know when you're there, they know how long you're there,

542
00:29:25,720 --> 00:29:27,560
Speaker 1: they know when you arrived, they know where you came from,

543
00:29:27,600 --> 00:29:30,360
Speaker 1: they know where you went to. Because it's a if

544
00:29:30,400 --> 00:29:32,760
Speaker 1: it's a big system that's keeping track of all of this,

545
00:29:33,120 --> 00:29:36,000
Speaker 1: then it's keeping track of you. And as you move

546
00:29:36,040 --> 00:29:39,520
Speaker 1: around and interact with the various environments around you, there

547
00:29:39,600 --> 00:29:42,240
Speaker 1: is a record there. You are leaving a digital footprint

548
00:29:42,320 --> 00:29:46,160
Speaker 1: everywhere you go, and by necessity, that footprint has to

549
00:29:46,200 --> 00:29:49,200
Speaker 1: be identified with you. On some level. It might be

550
00:29:49,240 --> 00:29:51,880
Speaker 1: a superficial level, but it has to be identified with

551
00:29:51,920 --> 00:29:56,080
Speaker 1: you because otherwise your experience isn't customized. That's the point

552
00:29:56,160 --> 00:29:57,840
Speaker 1: of doing it. Yeah, the whole point of doing it

553
00:29:57,880 --> 00:30:00,880
Speaker 1: is so that I Jonathan's trick Land as I walk

554
00:30:00,920 --> 00:30:04,200
Speaker 1: around in my life experience the best sort of outcomes

555
00:30:04,240 --> 00:30:08,840
Speaker 1: possible considering my preferences. Well if they you know, if

556
00:30:08,880 --> 00:30:11,680
Speaker 1: if nothing is connected to me, then there's no that

557
00:30:11,920 --> 00:30:14,880
Speaker 1: all it's doing is tracking that there that that someone

558
00:30:15,000 --> 00:30:17,840
Speaker 1: is moving around, but it doesn't know how to adjust

559
00:30:18,440 --> 00:30:21,120
Speaker 1: you know, the settings were anything to make it ideal

560
00:30:21,200 --> 00:30:25,400
Speaker 1: for me. So that's the tradeoff is do we go

561
00:30:25,600 --> 00:30:29,320
Speaker 1: with this world where we have this custom experience to life?

562
00:30:29,880 --> 00:30:32,520
Speaker 1: This the sort of idea where we have truly manipulated

563
00:30:32,520 --> 00:30:35,960
Speaker 1: our environment to the fullest extent possible so that every

564
00:30:36,000 --> 00:30:39,320
Speaker 1: person is getting as ideal and experience as we can

565
00:30:39,480 --> 00:30:43,440
Speaker 1: hope to achieve. But on the flip side, every single

566
00:30:43,520 --> 00:30:46,000
Speaker 1: movement you make is essentially and every single thing you

567
00:30:46,080 --> 00:30:48,680
Speaker 1: do is essentially tracked. Now, there are a lot of

568
00:30:48,720 --> 00:30:51,000
Speaker 1: different ways to approach this, where you build in security

569
00:30:51,040 --> 00:30:54,440
Speaker 1: systems so that everything is encrypted, so that yes, everything

570
00:30:54,520 --> 00:30:57,680
Speaker 1: is tracked, but it's not easy for anyone outside to

571
00:30:57,720 --> 00:31:01,200
Speaker 1: see what you did win. But are big concerns. I mean,

572
00:31:01,240 --> 00:31:05,160
Speaker 1: what if you happen to be in an area where

573
00:31:05,160 --> 00:31:08,320
Speaker 1: a crime is committed and you don't even witness it.

574
00:31:08,440 --> 00:31:10,640
Speaker 1: You're not you're not a witness to this crime. You

575
00:31:10,720 --> 00:31:13,080
Speaker 1: were unaware that the crime had happened. And the crime

576
00:31:13,080 --> 00:31:16,560
Speaker 1: could be anything. Let's say it's robbery. So you happen

577
00:31:16,600 --> 00:31:18,560
Speaker 1: to be in the same place at the same time

578
00:31:18,600 --> 00:31:21,959
Speaker 1: as a robbery, but you're not in the exact same area,

579
00:31:22,560 --> 00:31:26,320
Speaker 1: but but it's tracked you there, and then you happen

580
00:31:26,400 --> 00:31:29,719
Speaker 1: to be late to something, so you make a faster

581
00:31:29,960 --> 00:31:33,200
Speaker 1: than normal egress from the area in order to make

582
00:31:33,240 --> 00:31:36,520
Speaker 1: your next appointment. And uh, it could very well be

583
00:31:36,600 --> 00:31:39,760
Speaker 1: the law enforcement when looking and reviewing records. If you're

584
00:31:39,800 --> 00:31:42,080
Speaker 1: leaving a digital footprint that can be traced back to

585
00:31:42,120 --> 00:31:44,440
Speaker 1: you could say, hey, this is a person of interest

586
00:31:44,560 --> 00:31:47,520
Speaker 1: because look, they were there at this particular time and

587
00:31:47,560 --> 00:31:50,440
Speaker 1: then they left in a real hurry at at the

588
00:31:51,080 --> 00:31:53,640
Speaker 1: you know, shortly after the robbery took place. And then

589
00:31:53,720 --> 00:31:55,880
Speaker 1: next thing you know, you're being hassled about something that

590
00:31:55,960 --> 00:31:59,840
Speaker 1: you had no knowledge of. Or let's say that you

591
00:32:00,040 --> 00:32:04,880
Speaker 1: are doing something naughty, something that is frowned upon whether

592
00:32:04,920 --> 00:32:07,520
Speaker 1: it's illegal or an ethical or whatever. Well, now you've

593
00:32:07,520 --> 00:32:11,239
Speaker 1: got a record of it everywhere. So some of us

594
00:32:11,280 --> 00:32:15,000
Speaker 1: who consider ourselves to be fairly ethical people might say,

595
00:32:15,480 --> 00:32:19,960
Speaker 1: you know, I understand, but I don't really do anything terrible,

596
00:32:20,080 --> 00:32:22,560
Speaker 1: so I don't see what that's a concern. Some people

597
00:32:23,120 --> 00:32:26,760
Speaker 1: who are truly ethical people will be saying, this is

598
00:32:26,800 --> 00:32:31,040
Speaker 1: an awful idea. I mean, whether I do anything wrong

599
00:32:31,160 --> 00:32:34,360
Speaker 1: is immaterial. I don't want there to be a system

600
00:32:34,400 --> 00:32:37,040
Speaker 1: that tracks everything I do all the time. I want

601
00:32:37,080 --> 00:32:41,200
Speaker 1: I want privacy in my life. And uh so that

602
00:32:41,200 --> 00:32:43,760
Speaker 1: that is a huge hurdle. I mean, do we do

603
00:32:43,800 --> 00:32:47,880
Speaker 1: we adopt this world in the future where we can

604
00:32:47,920 --> 00:32:51,760
Speaker 1: have this kind of experience or do we shy away

605
00:32:51,760 --> 00:32:55,760
Speaker 1: from it because we don't want to have a living

606
00:32:55,880 --> 00:33:00,120
Speaker 1: record of everything we do every day until we're know

607
00:33:01,400 --> 00:33:05,240
Speaker 1: part of the environment as opposed to experiencing it. Yeah. Well,

608
00:33:05,280 --> 00:33:07,920
Speaker 1: and and that's um you know, that's one of those

609
00:33:07,920 --> 00:33:14,160
Speaker 1: conflicts that's difficult because the the um the benefits of

610
00:33:14,200 --> 00:33:18,200
Speaker 1: some of this technology are pretty obvious, and you say, well,

611
00:33:18,360 --> 00:33:20,320
Speaker 1: you know, I really like this stuff. I wish I

612
00:33:20,320 --> 00:33:23,480
Speaker 1: could do that, but I'm just not comfortable with giving

613
00:33:23,560 --> 00:33:27,240
Speaker 1: up my privacy. UM, I'm one of those people. UM.

614
00:33:27,280 --> 00:33:29,120
Speaker 1: So yeah, I mean I could I could tell you

615
00:33:29,160 --> 00:33:32,320
Speaker 1: from personal experience that it's not it's not a simple

616
00:33:33,120 --> 00:33:36,760
Speaker 1: question to answer. Um. A lot of these technologies are

617
00:33:36,760 --> 00:33:39,000
Speaker 1: are things that we can implement without having to give

618
00:33:39,080 --> 00:33:44,000
Speaker 1: up too much your privacy. Um. And then others you know, uh,

619
00:33:44,040 --> 00:33:45,760
Speaker 1: you have to go, well, I'm gonna have to make

620
00:33:45,760 --> 00:33:49,800
Speaker 1: a decision here one way or the other. Yeah, it's um,

621
00:33:50,160 --> 00:33:53,840
Speaker 1: it's it's definitely an exciting time to see these developments

622
00:33:53,840 --> 00:33:57,960
Speaker 1: take place. And I think, you know, we we are

623
00:33:58,000 --> 00:34:00,920
Speaker 1: looking at possibilities, but we also have to remember where that, uh,

624
00:34:01,040 --> 00:34:04,800
Speaker 1: this is not going to be a super fast transition,

625
00:34:05,240 --> 00:34:08,640
Speaker 1: and some stuff probably just won't work. Because you can

626
00:34:08,680 --> 00:34:11,200
Speaker 1: build the best system in the world, but if people

627
00:34:11,239 --> 00:34:12,880
Speaker 1: don't use it the way you thought they were going

628
00:34:12,920 --> 00:34:16,279
Speaker 1: to use it, then it becomes a problem. And and

629
00:34:16,320 --> 00:34:17,920
Speaker 1: that's one of the things is that it's hard to

630
00:34:17,960 --> 00:34:22,640
Speaker 1: predict user behavior when you're first designing a system. I

631
00:34:22,680 --> 00:34:26,200
Speaker 1: think a lot of people were very skeptical of smartphone

632
00:34:26,239 --> 00:34:28,759
Speaker 1: apps when smartphones because a lot of smartphone apps that

633
00:34:28,800 --> 00:34:32,640
Speaker 1: first came out were very much curiosities. They weren't necessarily

634
00:34:32,640 --> 00:34:36,440
Speaker 1: that useful. But now mobile apps that is, that is

635
00:34:36,760 --> 00:34:39,759
Speaker 1: the thing. I mean, that's the huge craze in tech, right.

636
00:34:39,960 --> 00:34:43,680
Speaker 1: I mean, we're seeing big companies scoop up small mobile

637
00:34:43,719 --> 00:34:47,040
Speaker 1: app companies for billions of dollars because it's a big deal.

638
00:34:47,760 --> 00:34:51,640
Speaker 1: So if the Internet of Things takes a route similar

639
00:34:51,680 --> 00:34:54,400
Speaker 1: to the way smartphones and mobile technology and apps have,

640
00:34:55,040 --> 00:34:59,719
Speaker 1: then it's definitely gonna become something pervasive and hopefully more

641
00:34:59,800 --> 00:35:04,480
Speaker 1: you full than problematic. But it's also possible that the

642
00:35:04,520 --> 00:35:08,600
Speaker 1: first few implementations of this kind of technology could fall flat,

643
00:35:08,680 --> 00:35:11,080
Speaker 1: that they just don't work the way they were anticipated to.

644
00:35:11,320 --> 00:35:15,360
Speaker 1: And if it's if it's a big enough failure, it

645
00:35:15,480 --> 00:35:18,120
Speaker 1: may mean that we don't see this Internet of things

646
00:35:18,200 --> 00:35:21,759
Speaker 1: truly emerge because companies may shy away from it. Yeah. Well,

647
00:35:21,800 --> 00:35:25,040
Speaker 1: I mean, like like I was saying earlier, I mean,

648
00:35:25,040 --> 00:35:27,320
Speaker 1: there are some things that are already there, We're already

649
00:35:27,320 --> 00:35:29,600
Speaker 1: in the world. The thing is, there's I think it's

650
00:35:29,600 --> 00:35:32,320
Speaker 1: going to end up being a situation where consumer demand

651
00:35:32,440 --> 00:35:35,640
Speaker 1: drives a lot of things like the washer and dryer.

652
00:35:35,719 --> 00:35:39,080
Speaker 1: That situation where you know, the washer wood communicated the dryer,

653
00:35:39,120 --> 00:35:43,160
Speaker 1: Hey expect a load of permanent press it's coming. Um,

654
00:35:43,200 --> 00:35:46,400
Speaker 1: you know that may not necessarily take off, you know,

655
00:35:46,440 --> 00:35:49,359
Speaker 1: if it's at five option and people go, I don't

656
00:35:49,400 --> 00:35:51,479
Speaker 1: I'm not going to spend it on that. Now, having

657
00:35:51,520 --> 00:35:53,200
Speaker 1: an email sent to you to tell you, hey, it's

658
00:35:53,200 --> 00:35:55,279
Speaker 1: time to change the clothes over sticking in the in

659
00:35:55,320 --> 00:35:58,120
Speaker 1: the dryer, um, now, that would be useful. So I

660
00:35:58,120 --> 00:35:59,840
Speaker 1: think it's people are gonna say, why want that? But

661
00:35:59,880 --> 00:36:03,120
Speaker 1: I don't mean this. It may also be one of

662
00:36:03,120 --> 00:36:05,440
Speaker 1: those things where a lot of these features end up

663
00:36:05,440 --> 00:36:09,360
Speaker 1: getting built into all models. Eventually, like it filters down

664
00:36:09,360 --> 00:36:12,400
Speaker 1: so it no longer becomes like a premium model of

665
00:36:12,520 --> 00:36:15,799
Speaker 1: a particular appliance. It just becomes a standard feature that

666
00:36:15,840 --> 00:36:19,239
Speaker 1: you find across all models of that appliance. And uh

667
00:36:19,280 --> 00:36:23,000
Speaker 1: and in that case, um, you might end up slowly

668
00:36:23,040 --> 00:36:26,520
Speaker 1: adopting it, but uh, there are other times where you

669
00:36:26,600 --> 00:36:29,920
Speaker 1: might see companies just abandoned it. Another good example of

670
00:36:29,920 --> 00:36:33,120
Speaker 1: this is like three D television. You know, there's there

671
00:36:33,160 --> 00:36:35,080
Speaker 1: are a lot of television sets out there that have

672
00:36:35,680 --> 00:36:39,240
Speaker 1: three D built into them, but they're not necessarily um

673
00:36:39,520 --> 00:36:42,879
Speaker 1: marketed as three D TV s. Well that that might

674
00:36:42,920 --> 00:36:45,040
Speaker 1: be what we see in the future with these Internet

675
00:36:45,080 --> 00:36:48,560
Speaker 1: connected appliances, that it's just one of the features of

676
00:36:48,600 --> 00:36:51,480
Speaker 1: the appliance and it's not the selling feature, and that

677
00:36:51,560 --> 00:36:55,239
Speaker 1: it's not necessarily priced higher because of it. Um, it's

678
00:36:55,280 --> 00:36:57,799
Speaker 1: just one of the many things that comes with that

679
00:36:57,840 --> 00:37:00,719
Speaker 1: particular appliance. And the other thing that we'll have to

680
00:37:00,800 --> 00:37:04,719
Speaker 1: have is some sort of universal standard of communication for

681
00:37:04,719 --> 00:37:07,640
Speaker 1: this to truly work, or you're going to see third

682
00:37:07,640 --> 00:37:12,719
Speaker 1: party companies pop up and their specialty is creating some

683
00:37:12,840 --> 00:37:17,640
Speaker 1: sort of communication hub where different protocols can actually work

684
00:37:17,760 --> 00:37:21,759
Speaker 1: together with one another, at least on a superficial level. Uh.

685
00:37:21,800 --> 00:37:25,080
Speaker 1: And so my point there is that if manufacturers don't

686
00:37:25,280 --> 00:37:29,600
Speaker 1: start looking into ways where their technologies can talk to

687
00:37:29,640 --> 00:37:32,680
Speaker 1: other companies technologies, a third party is going to find

688
00:37:32,680 --> 00:37:34,479
Speaker 1: a way to make it happen, and then they're gonna

689
00:37:34,560 --> 00:37:40,279
Speaker 1: just explode, you know, assuming that consumers care about it

690
00:37:40,280 --> 00:37:43,160
Speaker 1: at all. Anyway, all Right, Well, that wraps up our

691
00:37:43,200 --> 00:37:46,239
Speaker 1: discussion about the Internet of Things and the possibilities that

692
00:37:46,440 --> 00:37:49,759
Speaker 1: lie there in Uh, it'll be interesting to see this

693
00:37:49,840 --> 00:37:52,560
Speaker 1: develop over time. I mean, you know, it's we're in

694
00:37:52,560 --> 00:37:56,200
Speaker 1: the early stages already, and whether we progress much further

695
00:37:56,360 --> 00:38:01,280
Speaker 1: really depends upon ingenuity and user behavior, so behave yourselves,

696
00:38:01,360 --> 00:38:04,319
Speaker 1: users and UH. If you have any topics you would

697
00:38:04,360 --> 00:38:07,360
Speaker 1: like us to talk about in future episodes of tech Stuff,

698
00:38:07,880 --> 00:38:10,960
Speaker 1: you can email us at tech stuff at the scurvery

699
00:38:11,000 --> 00:38:14,480
Speaker 1: dot com or send us a message on Twitter or Facebook.

700
00:38:14,840 --> 00:38:18,080
Speaker 1: Our handle at both of those is text Stuff H. S.

701
00:38:18,360 --> 00:38:21,480
Speaker 1: W and Chris and I will help you again really soon.

702
00:38:23,200 --> 00:38:25,759
Speaker 1: For more on this and thousands of other topics, visit

703
00:38:25,800 --> 00:38:31,960
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704
00:38:32,000 --> 00:38:35,359
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