1 00:00:04,120 --> 00:00:07,160 Speaker 1: Get in touch with technology with tech Stuff from how 2 00:00:07,200 --> 00:00:13,680 Speaker 1: stuff works dot com. Hey there, and welcome to tech Stuff. 3 00:00:13,720 --> 00:00:16,720 Speaker 1: I'm your host, Jonathan Strickland. I'm an executive producer with 4 00:00:16,760 --> 00:00:18,759 Speaker 1: how Stuff Works, and I heart radio and I love 5 00:00:18,880 --> 00:00:22,520 Speaker 1: all things tech. And today it's time for another classic 6 00:00:22,560 --> 00:00:26,800 Speaker 1: episode of tech Stuff. This episode originally published on May nine, 7 00:00:26,800 --> 00:00:30,880 Speaker 1: two thousand twelve. And boy howdy, this is gonna be 8 00:00:30,960 --> 00:00:33,680 Speaker 1: a doozy of one to listen to. It is the 9 00:00:33,720 --> 00:00:39,720 Speaker 1: Internet of Things episode, so that's changed a lot since 10 00:00:39,760 --> 00:00:43,879 Speaker 1: two thousand twelve. I think it will be quaint to 11 00:00:44,120 --> 00:00:47,839 Speaker 1: hear how Chris and I interpreted the Internet of Things 12 00:00:48,080 --> 00:00:51,920 Speaker 1: seven years ago. Hope you guys enjoy. Let's listen in 13 00:00:52,320 --> 00:00:56,480 Speaker 1: a while ago about maybe almost twenty years ago. Is 14 00:00:56,600 --> 00:01:02,640 Speaker 1: is mid nineties? Yeah, Uh, listened to the founder of 15 00:01:02,760 --> 00:01:06,240 Speaker 1: mind Spring Enterprises, which was an Internet service provider here 16 00:01:06,280 --> 00:01:08,240 Speaker 1: in the United States. His name is Charles Brewer, and 17 00:01:08,240 --> 00:01:12,800 Speaker 1: he was talking about how in the future, um, and 18 00:01:12,840 --> 00:01:15,600 Speaker 1: he wasn't talking distant future, you know, he was talking 19 00:01:15,760 --> 00:01:18,960 Speaker 1: realistically in the next few years. He was saying in 20 00:01:19,000 --> 00:01:22,880 Speaker 1: the mid nineties, uh, that you would have stuff in 21 00:01:22,880 --> 00:01:25,319 Speaker 1: your house. It wouldn't just be you connecting to the 22 00:01:25,360 --> 00:01:29,720 Speaker 1: Internet to use email or the web. He said, in 23 00:01:29,840 --> 00:01:32,640 Speaker 1: the next few years, your stuff is going to be 24 00:01:32,680 --> 00:01:34,640 Speaker 1: connected to the Internet and it's going to talk to 25 00:01:34,680 --> 00:01:38,240 Speaker 1: one another. And you know, he was talking about appliances 26 00:01:38,280 --> 00:01:40,759 Speaker 1: and things, and I thought, well, that's kind of weird. 27 00:01:41,000 --> 00:01:44,080 Speaker 1: I mean, how would you do that. Um, of course, 28 00:01:44,160 --> 00:01:47,200 Speaker 1: at the time, we were still in a very dial 29 00:01:47,319 --> 00:01:49,840 Speaker 1: up world where you had to have a modem attached 30 00:01:49,880 --> 00:01:52,160 Speaker 1: to your computer or built into your computer that dialed 31 00:01:53,080 --> 00:01:55,760 Speaker 1: over the phone line and would you know, connect to 32 00:01:55,760 --> 00:01:58,000 Speaker 1: the Internet. And it was very slow and it was 33 00:01:58,080 --> 00:02:01,280 Speaker 1: very spotty, and you know, it worked pretty well. But 34 00:02:02,160 --> 00:02:04,200 Speaker 1: I thought, well that that would be kind of cool, 35 00:02:05,000 --> 00:02:07,560 Speaker 1: and it seemed, uh, you know, of course it's not 36 00:02:07,680 --> 00:02:11,320 Speaker 1: jet jet packs and uh, hoverboards, but it was at 37 00:02:11,320 --> 00:02:13,280 Speaker 1: the same time, you know, kind of far off in 38 00:02:13,320 --> 00:02:16,480 Speaker 1: my head because I was thinking, I don't you know, 39 00:02:16,680 --> 00:02:18,680 Speaker 1: I guess people would adopt that. I don't know, it 40 00:02:18,680 --> 00:02:21,280 Speaker 1: seems kind of cool to me. Well, as it turns out, 41 00:02:21,560 --> 00:02:24,959 Speaker 1: we really have moved on to that kind of a model, 42 00:02:24,960 --> 00:02:29,079 Speaker 1: although we're not quite there yet. But this is what 43 00:02:29,120 --> 00:02:34,320 Speaker 1: people call the Internet of Things. And the reason we're 44 00:02:34,320 --> 00:02:38,840 Speaker 1: talking about this is that actually was contacted by a 45 00:02:38,840 --> 00:02:43,639 Speaker 1: alien intelligence Yes, but that is not what I was 46 00:02:43,680 --> 00:02:46,720 Speaker 1: going to mention. You know, now they have to visit 47 00:02:46,760 --> 00:02:48,799 Speaker 1: me again, Chris, thank you so much, because I had 48 00:02:48,800 --> 00:02:54,000 Speaker 1: plans this weekend anyway. No, I was also contacted by 49 00:02:53,400 --> 00:02:58,640 Speaker 1: a tech conference to have a panel discussion about this 50 00:02:58,760 --> 00:03:01,640 Speaker 1: very topic, the Internet of Things. I thought, well, heck, 51 00:03:01,639 --> 00:03:03,720 Speaker 1: I'm I'm already preparing for that. Why don't we make 52 00:03:03,760 --> 00:03:06,720 Speaker 1: that a podcast as well? And here we are, so 53 00:03:07,120 --> 00:03:10,440 Speaker 1: let's talk a little bit about where we are right now. So, um, 54 00:03:10,440 --> 00:03:13,360 Speaker 1: we're still not at a point where everything is talking 55 00:03:13,400 --> 00:03:15,480 Speaker 1: to everything else, and there are a few different reasons 56 00:03:15,480 --> 00:03:18,880 Speaker 1: for that. I think one of the reasons is, uh, 57 00:03:19,080 --> 00:03:23,200 Speaker 1: like Chris was saying, you know, broadband rollout was probably 58 00:03:23,320 --> 00:03:27,040 Speaker 1: a little more gradual than we had anticipated when the 59 00:03:27,080 --> 00:03:30,360 Speaker 1: futurists were first starting to think about the possibilities of 60 00:03:30,400 --> 00:03:33,400 Speaker 1: the Internet of things. But that that's less of a 61 00:03:33,480 --> 00:03:37,080 Speaker 1: problem now for a good percentage of the population of 62 00:03:37,080 --> 00:03:39,920 Speaker 1: the United States, as well as for many other countries. 63 00:03:40,360 --> 00:03:44,160 Speaker 1: Clearly it's still a problem. Not everyone has broadband internet 64 00:03:44,160 --> 00:03:48,000 Speaker 1: access now. In some cases, the information that these different 65 00:03:48,200 --> 00:03:51,680 Speaker 1: products would be sending back and forth would be very 66 00:03:51,760 --> 00:03:56,920 Speaker 1: small packets of data, so perhaps broadband access isn't as important. 67 00:03:57,720 --> 00:04:03,440 Speaker 1: I remember because nostalgic cast a slight as a slight tangent. 68 00:04:03,720 --> 00:04:07,320 Speaker 1: I remember buying uh. You may remember this to the 69 00:04:07,320 --> 00:04:11,240 Speaker 1: the age of when, um there were publications like Yahoo 70 00:04:11,280 --> 00:04:14,720 Speaker 1: Internet Life back in the nineties when and there were 71 00:04:14,760 --> 00:04:18,560 Speaker 1: books too with Internet sites on them, and you would go, Okay, 72 00:04:18,640 --> 00:04:20,120 Speaker 1: so I got this Internet thing, what am I going 73 00:04:20,160 --> 00:04:22,680 Speaker 1: to do with it? One of the things I've had 74 00:04:22,680 --> 00:04:27,080 Speaker 1: in a book was this uh drink machine that was 75 00:04:27,120 --> 00:04:29,960 Speaker 1: hooked up to the Internet and you could and this 76 00:04:30,080 --> 00:04:32,760 Speaker 1: was all text. This is not you know, pretty worldwide 77 00:04:32,760 --> 00:04:35,479 Speaker 1: web stuff. This was you would ping the machine and 78 00:04:35,520 --> 00:04:37,440 Speaker 1: it would tell you how many of each drink it 79 00:04:37,480 --> 00:04:40,800 Speaker 1: had sold that day. And I was thinking, so you 80 00:04:40,839 --> 00:04:44,120 Speaker 1: can figure out how many people within the population of 81 00:04:44,160 --> 00:04:47,480 Speaker 1: that region had diabetes? Well it was a it was 82 00:04:47,520 --> 00:04:50,320 Speaker 1: a college campus. Now, okay, so all of them. But yeah, 83 00:04:50,400 --> 00:04:54,839 Speaker 1: so we're we're talking about remember when we've talked about 84 00:04:54,960 --> 00:04:57,960 Speaker 1: the early Internet, the the places that were wired, we're 85 00:04:57,960 --> 00:05:03,840 Speaker 1: basically government facility and um educational institutions. So yes, they 86 00:05:04,240 --> 00:05:08,360 Speaker 1: broad base facilities exactly. They had broadband people in the 87 00:05:08,360 --> 00:05:10,680 Speaker 1: the Computer Science Department and why are their drink machine? 88 00:05:11,120 --> 00:05:13,200 Speaker 1: And you could pin it, you know, because why not? 89 00:05:14,240 --> 00:05:16,200 Speaker 1: That's more or less to deal And that was why 90 00:05:16,200 --> 00:05:19,880 Speaker 1: it was interesting, because why not? But yeah, I mean, 91 00:05:19,960 --> 00:05:23,480 Speaker 1: and and it can be useful looking at it today 92 00:05:23,680 --> 00:05:25,680 Speaker 1: you can have a vendor looking at it. Okay, well 93 00:05:25,720 --> 00:05:28,400 Speaker 1: we don't need to restock this one today, we don't 94 00:05:28,400 --> 00:05:31,840 Speaker 1: have to send out there. Yeah you can, you could consolidate, 95 00:05:32,000 --> 00:05:34,239 Speaker 1: but back then it was just for fun. Right today 96 00:05:34,279 --> 00:05:35,880 Speaker 1: it makes a lot of sense. Like if you own 97 00:05:35,920 --> 00:05:39,000 Speaker 1: a vending machine company and you stock those vending machines 98 00:05:39,400 --> 00:05:40,960 Speaker 1: and you are able to look at a glance and 99 00:05:41,040 --> 00:05:44,320 Speaker 1: see where you need to send a delivery person in 100 00:05:44,440 --> 00:05:47,640 Speaker 1: order to restock those machines, then you may not need 101 00:05:47,680 --> 00:05:51,000 Speaker 1: as many delivery people on your staff because you don't 102 00:05:51,040 --> 00:05:53,400 Speaker 1: have to have someone go out and physically check each machine. 103 00:05:53,839 --> 00:05:56,760 Speaker 1: And and if the machines can alert you if something's wrong, 104 00:05:57,160 --> 00:05:59,359 Speaker 1: then you know to send someone out to repair it. 105 00:06:00,120 --> 00:06:01,279 Speaker 1: There are a lot of you know, you don't have 106 00:06:01,320 --> 00:06:04,800 Speaker 1: to wait for a call from a client or happen 107 00:06:05,360 --> 00:06:07,279 Speaker 1: or for your maintenance guy to happen upon it on 108 00:06:07,360 --> 00:06:10,720 Speaker 1: a on a scheduled series of rounds. Uh yeah, there 109 00:06:10,720 --> 00:06:12,800 Speaker 1: are a lot of different reasons for it. And then 110 00:06:13,120 --> 00:06:16,000 Speaker 1: we have the consumer side, like actual consumer products, not 111 00:06:16,080 --> 00:06:19,960 Speaker 1: just you know, commercial products, huh, and the possibilities that 112 00:06:19,960 --> 00:06:22,839 Speaker 1: that holds. And they're already products out on the market 113 00:06:22,960 --> 00:06:27,680 Speaker 1: right now that have some form of network capability. Um, 114 00:06:28,120 --> 00:06:33,240 Speaker 1: they don't tend to all work together necessarily, like you 115 00:06:33,320 --> 00:06:38,560 Speaker 1: might have a bunch of independent networks within your home network. 116 00:06:39,080 --> 00:06:43,880 Speaker 1: Right So for example, you could have a you can 117 00:06:43,920 --> 00:06:47,760 Speaker 1: be purchasing your appliances from a single company and you 118 00:06:47,800 --> 00:06:50,159 Speaker 1: get a washer and a dryer, and they have this 119 00:06:50,200 --> 00:06:54,279 Speaker 1: connectivity ability so that the washer and the dryer share 120 00:06:54,320 --> 00:06:57,560 Speaker 1: information with each other. So when you put a load 121 00:06:57,600 --> 00:07:01,000 Speaker 1: of laundry in the washer and you set it to 122 00:07:01,040 --> 00:07:03,520 Speaker 1: a particular kind of setting, like let's say it's permanent press, 123 00:07:04,600 --> 00:07:06,320 Speaker 1: it sends that information to the dryer, so that the 124 00:07:06,400 --> 00:07:09,880 Speaker 1: dryer already has the proper settings ready to go when 125 00:07:09,880 --> 00:07:12,720 Speaker 1: you transfer the wash from the washer dryer, so that 126 00:07:12,760 --> 00:07:15,200 Speaker 1: way you don't have to reset the dryer settings. It's 127 00:07:15,240 --> 00:07:18,720 Speaker 1: already taken care of. Uh. It might also even send 128 00:07:18,760 --> 00:07:23,040 Speaker 1: you an alert somehow through through the internet, so that 129 00:07:23,080 --> 00:07:26,000 Speaker 1: you know when your loads laundry are done. So you 130 00:07:26,080 --> 00:07:28,800 Speaker 1: might get a ping on a smartphone or a tablet, 131 00:07:28,920 --> 00:07:32,280 Speaker 1: or your computer, or if we're going to look into 132 00:07:32,320 --> 00:07:35,160 Speaker 1: the future a little bit, your television. Because you've got 133 00:07:35,200 --> 00:07:38,240 Speaker 1: internet connected televisions out there. It's only a matter of 134 00:07:38,280 --> 00:07:40,239 Speaker 1: time before we get to a point where these internet 135 00:07:40,240 --> 00:07:45,440 Speaker 1: connected televisions have a the ability to show alerts that 136 00:07:45,480 --> 00:07:47,720 Speaker 1: are related to other appliances that are in your house. 137 00:07:47,720 --> 00:07:51,160 Speaker 1: We're not quite there yet, but that's mainly because the 138 00:07:51,200 --> 00:07:56,000 Speaker 1: approach most companies are taking is to create a proprietary 139 00:07:56,040 --> 00:08:02,080 Speaker 1: communication protocol for their products. Right so Company A's products 140 00:08:02,400 --> 00:08:06,640 Speaker 1: do not communicate with Company bees products. So unless you're 141 00:08:06,640 --> 00:08:11,240 Speaker 1: buying everything from the same company, then the the communication 142 00:08:11,280 --> 00:08:14,960 Speaker 1: protocols aren't compatible and they don't understand each other. They 143 00:08:14,960 --> 00:08:17,520 Speaker 1: can't communicate. You need to C three PO right there 144 00:08:17,560 --> 00:08:20,600 Speaker 1: in the middle, because they can speak over six million 145 00:08:20,640 --> 00:08:26,320 Speaker 1: different languages, including vaporators. One of their first jobs was anyway, um, 146 00:08:27,080 --> 00:08:29,040 Speaker 1: the point being that you know, the odds of you 147 00:08:29,160 --> 00:08:32,640 Speaker 1: finishing that quote or yeah, never tell me the odds 148 00:08:32,679 --> 00:08:35,240 Speaker 1: Many both died to bring us this podcast. So the 149 00:08:36,360 --> 00:08:39,640 Speaker 1: the the different the different networks can't really communicate with 150 00:08:39,640 --> 00:08:41,600 Speaker 1: one another. So that's kind of where we are right now. 151 00:08:41,679 --> 00:08:43,840 Speaker 1: But we do have lots of products out there, including 152 00:08:43,880 --> 00:08:47,960 Speaker 1: ones like refrigerators that can talk to stoves and ovens. 153 00:08:48,000 --> 00:08:50,880 Speaker 1: So you've got again from the same company. So you 154 00:08:50,960 --> 00:08:53,520 Speaker 1: might have a refrigerator that's Internet connected and you think, well, 155 00:08:53,520 --> 00:08:56,040 Speaker 1: why would I want that? Well, if you have a 156 00:08:56,360 --> 00:08:59,319 Speaker 1: fridge that connects to the internet and it actually is 157 00:08:59,400 --> 00:09:02,360 Speaker 1: able to keep an inventory of the stuff that you 158 00:09:02,440 --> 00:09:05,600 Speaker 1: put within that fridge, you know, if there's some method 159 00:09:06,320 --> 00:09:08,840 Speaker 1: whether you know you want it to be as seamless 160 00:09:08,880 --> 00:09:11,440 Speaker 1: as possible, Ideally you would have a method in there 161 00:09:11,480 --> 00:09:14,440 Speaker 1: where when you put something in the fridge, it automatically 162 00:09:14,480 --> 00:09:17,520 Speaker 1: detected its presence, knew what it was, and logged it 163 00:09:18,480 --> 00:09:21,440 Speaker 1: so it would know when you put it in there, uh, 164 00:09:21,480 --> 00:09:24,440 Speaker 1: and it would know what it was, and even in 165 00:09:24,480 --> 00:09:27,800 Speaker 1: a real ideal situation, it would know when that product expires, 166 00:09:28,240 --> 00:09:30,000 Speaker 1: so it could tell you like, hey, you've got some 167 00:09:30,040 --> 00:09:31,880 Speaker 1: milk in the fridge. It's about to go bad because 168 00:09:31,880 --> 00:09:34,240 Speaker 1: it's muscling up to the potato salad, So you want 169 00:09:34,240 --> 00:09:37,000 Speaker 1: to make sure you're gonna go ahead and drink that. Um, 170 00:09:37,040 --> 00:09:39,560 Speaker 1: So just don't walk in on the mayonnaise. It's dressing. 171 00:09:39,640 --> 00:09:43,400 Speaker 1: That's right, boy. We were definitely punchy. We recorded an 172 00:09:43,400 --> 00:09:46,440 Speaker 1: episode that had more bloopers in it than the previous 173 00:09:46,920 --> 00:09:51,160 Speaker 1: the previous three years of recording combined, so we're all 174 00:09:51,240 --> 00:09:54,320 Speaker 1: punchy now. But anyway, Yeah, the fridge would be able 175 00:09:54,360 --> 00:09:56,880 Speaker 1: to keep you alert on what you have in your fridge. 176 00:09:56,920 --> 00:10:00,920 Speaker 1: It could even give you recipes for off that you 177 00:10:00,960 --> 00:10:03,760 Speaker 1: can make based upon what is in the refrigerator right now. 178 00:10:03,840 --> 00:10:06,040 Speaker 1: So for example, you might think, well, why am I 179 00:10:06,040 --> 00:10:07,760 Speaker 1: gonna have for dinner tonight and you could ask You 180 00:10:07,760 --> 00:10:10,320 Speaker 1: could ask your refrigerator and they could say, well, based 181 00:10:10,360 --> 00:10:12,760 Speaker 1: upon what you've got in the fridge, this is the 182 00:10:12,800 --> 00:10:15,120 Speaker 1: kind of stuff you can make. Or it may say 183 00:10:15,200 --> 00:10:17,720 Speaker 1: you could have this meal. You just need to go 184 00:10:17,760 --> 00:10:22,120 Speaker 1: out and buy this, this, and this, so the ingredients 185 00:10:22,120 --> 00:10:26,600 Speaker 1: are complete. And and with the possibility of purchasing stuff online, 186 00:10:27,360 --> 00:10:31,600 Speaker 1: you could even get to a point where you you 187 00:10:31,600 --> 00:10:35,839 Speaker 1: you authorize through your fridge purchases. Well, and and that's 188 00:10:35,880 --> 00:10:39,120 Speaker 1: the the Well, there are two sort of things that 189 00:10:39,160 --> 00:10:41,839 Speaker 1: are occurring to me to sort of funny things. Um. 190 00:10:41,960 --> 00:10:44,000 Speaker 1: One of which is there's no reason we can't do 191 00:10:44,040 --> 00:10:46,520 Speaker 1: this right now or or really a couple of years ago. 192 00:10:46,640 --> 00:10:50,400 Speaker 1: It's just we haven't UM, so it's not it's not 193 00:10:50,480 --> 00:10:54,800 Speaker 1: a technology that we're waiting for it to develop. Um. 194 00:10:54,840 --> 00:10:57,000 Speaker 1: This is all pretty simple stuff really when you get 195 00:10:57,080 --> 00:10:59,280 Speaker 1: right down to it. UM. The other the other promise, 196 00:10:59,600 --> 00:11:02,920 Speaker 1: I mean, this really could be a very convenient thing 197 00:11:02,960 --> 00:11:06,160 Speaker 1: if they go forward with it, because it's the kind 198 00:11:06,160 --> 00:11:07,920 Speaker 1: of thing that you're you're talking about that would make 199 00:11:08,120 --> 00:11:11,480 Speaker 1: life really easy if you have the money to buy 200 00:11:11,520 --> 00:11:14,040 Speaker 1: this kind of stuff and the services available to you. 201 00:11:14,080 --> 00:11:17,920 Speaker 1: So let's say you have, UM, your internet connected fridge 202 00:11:18,080 --> 00:11:21,800 Speaker 1: and the services necessary to complete this conversation. So you 203 00:11:21,920 --> 00:11:23,920 Speaker 1: got stuff in the fridge and some of it's starting 204 00:11:23,960 --> 00:11:26,960 Speaker 1: to expire, and you've used some of it. So uh, 205 00:11:27,000 --> 00:11:30,440 Speaker 1: there are f I D tags radio frequency identification tags 206 00:11:30,520 --> 00:11:35,120 Speaker 1: on your things. So you have UM milk and uh, 207 00:11:35,480 --> 00:11:38,280 Speaker 1: you have cheese and things like that, and as you 208 00:11:38,400 --> 00:11:41,240 Speaker 1: use it up, the fridge realizes, hey, it's no longer 209 00:11:41,280 --> 00:11:45,320 Speaker 1: in the fridge. UM, So I'm going to Uh. Jonathan 210 00:11:45,320 --> 00:11:47,640 Speaker 1: has already said that he wants more milk as soon 211 00:11:47,679 --> 00:11:49,240 Speaker 1: as he runs out of milk. So I'm going to 212 00:11:49,360 --> 00:11:53,160 Speaker 1: place an order with the local shopping delivery company and 213 00:11:53,160 --> 00:11:55,720 Speaker 1: they're just gonna bring Jonathan more milk. And they're gonna 214 00:11:55,720 --> 00:11:57,400 Speaker 1: build it to his card, so he gets a regular 215 00:11:57,440 --> 00:12:02,400 Speaker 1: delivery of milk because he's out and uh, the fridge 216 00:12:02,400 --> 00:12:06,480 Speaker 1: has automatically told his local delivery company, Hey, uh, he 217 00:12:06,559 --> 00:12:09,600 Speaker 1: needs milk and celery and other stuff you know that 218 00:12:09,640 --> 00:12:11,920 Speaker 1: he's run out of or he wants to make this 219 00:12:11,920 --> 00:12:15,960 Speaker 1: this meal. Um. So really this could be ultra convenient 220 00:12:16,000 --> 00:12:18,600 Speaker 1: because you could just have stuff show up, go ahead 221 00:12:18,600 --> 00:12:20,679 Speaker 1: and put it in the fridge, and it just runs 222 00:12:20,679 --> 00:12:22,320 Speaker 1: on a normal cycle like that, so you don't have 223 00:12:22,360 --> 00:12:24,920 Speaker 1: to make shopping trips and uh, you don't have to 224 00:12:24,920 --> 00:12:27,280 Speaker 1: look through the fridge to identify what you're gonna eat. 225 00:12:27,520 --> 00:12:30,600 Speaker 1: But that's all sort of well what if, because in 226 00:12:30,679 --> 00:12:34,480 Speaker 1: the in the nineties, when um, these types of delivery 227 00:12:34,520 --> 00:12:38,360 Speaker 1: services we're starting to take off, it was kind of 228 00:12:38,360 --> 00:12:41,240 Speaker 1: early for them to do so. And I think it's 229 00:12:41,240 --> 00:12:43,160 Speaker 1: scared a lot of people, which is why you don't 230 00:12:43,320 --> 00:12:45,240 Speaker 1: they're they're sort of hit or missed. They're in some 231 00:12:45,320 --> 00:12:47,600 Speaker 1: places but not another's. They're in the neighborhood down the street, 232 00:12:47,600 --> 00:12:52,040 Speaker 1: but they won't deliver to your house. Back in the day, 233 00:12:52,080 --> 00:12:55,480 Speaker 1: they expanded too quickly. They got they got so large 234 00:12:55,520 --> 00:12:59,400 Speaker 1: that they weren't able to uh to handle their own 235 00:12:59,800 --> 00:13:02,480 Speaker 1: the they weren't able to administrate the size of the 236 00:13:02,520 --> 00:13:05,320 Speaker 1: company and so as a result, they eventually collapsed in 237 00:13:05,480 --> 00:13:08,000 Speaker 1: on themselves. Because it's not a cheap business to be in. 238 00:13:08,600 --> 00:13:10,560 Speaker 1: You know, it's a lot of warehouse management, a lot 239 00:13:10,559 --> 00:13:15,240 Speaker 1: of deliveries. Uh, it's it's a tricky business. But also 240 00:13:15,559 --> 00:13:18,320 Speaker 1: I was going to mention that the other possibilities, So 241 00:13:18,320 --> 00:13:20,640 Speaker 1: we would talk you mainly about just the fridge interacting 242 00:13:20,640 --> 00:13:22,760 Speaker 1: with the Internet, but it could also interact with the 243 00:13:22,800 --> 00:13:26,720 Speaker 1: other appliances in your home, for example, your stove. So 244 00:13:27,080 --> 00:13:28,920 Speaker 1: let's say that you have determined that you know, the 245 00:13:28,920 --> 00:13:32,160 Speaker 1: fridge is suggested, Hey you've got the right ingredients here 246 00:13:32,160 --> 00:13:36,440 Speaker 1: for a pot roast. Uh, and heck, you can even 247 00:13:36,440 --> 00:13:40,120 Speaker 1: have a crock pot that has Internet connectivity. And so 248 00:13:40,720 --> 00:13:43,560 Speaker 1: it starts the it starts the croc pot heating up 249 00:13:43,600 --> 00:13:45,439 Speaker 1: at the right time so that you just all you 250 00:13:45,480 --> 00:13:48,320 Speaker 1: do is dump them the ingredients into it and you 251 00:13:48,440 --> 00:13:52,440 Speaker 1: and you walk away. Um, or you have you wanna 252 00:13:52,600 --> 00:13:56,680 Speaker 1: you wanna end up like baking something, and so it 253 00:13:56,800 --> 00:13:59,600 Speaker 1: ends up sending that information to the oven when you're prepared, 254 00:14:00,120 --> 00:14:02,559 Speaker 1: so that way the oven starts to preheat while you're 255 00:14:02,559 --> 00:14:04,559 Speaker 1: actually getting your ingredients together, and you never had to 256 00:14:04,600 --> 00:14:08,120 Speaker 1: go and turn anything on yourself. It's all controlled because 257 00:14:08,840 --> 00:14:11,559 Speaker 1: the devices themselves are aware of what it is you're 258 00:14:11,559 --> 00:14:14,439 Speaker 1: trying to do. So this is sort of the promise 259 00:14:14,520 --> 00:14:16,800 Speaker 1: of the Internet of things in general. But you know 260 00:14:16,840 --> 00:14:18,800 Speaker 1: what we're talking about appliance is that the reason why 261 00:14:18,840 --> 00:14:21,040 Speaker 1: we're talking about that is because those are things that 262 00:14:21,080 --> 00:14:23,240 Speaker 1: exist on the market right now. The same sort of 263 00:14:23,280 --> 00:14:27,360 Speaker 1: thing is true for experiences. If you have, say a smartphone, 264 00:14:27,400 --> 00:14:31,240 Speaker 1: a tablet, and maybe even a video game console or 265 00:14:31,280 --> 00:14:34,360 Speaker 1: set top box. Uh, you can have these sort of 266 00:14:34,400 --> 00:14:38,160 Speaker 1: experiences right now within a separate kind of network. So 267 00:14:38,320 --> 00:14:41,480 Speaker 1: let's use Netflix as an example. All right, Let's say 268 00:14:41,480 --> 00:14:43,600 Speaker 1: have a Netflix account, and I have access to a 269 00:14:43,600 --> 00:14:48,240 Speaker 1: Netflix film or television show on my smartphone, and I'm 270 00:14:48,280 --> 00:14:50,440 Speaker 1: watching it, and then I stop, you know, I pause 271 00:14:50,480 --> 00:14:52,840 Speaker 1: in the middle, and then a little bit later, I 272 00:14:52,840 --> 00:14:54,720 Speaker 1: pick up my tablet and I watch a little bit 273 00:14:54,720 --> 00:14:56,640 Speaker 1: more of it. It picks up right where it left off, 274 00:14:56,800 --> 00:14:58,600 Speaker 1: and then I pause. And then when I get home, 275 00:14:58,800 --> 00:15:00,800 Speaker 1: I turn on my TV and set top box that 276 00:15:00,800 --> 00:15:03,320 Speaker 1: happens to have Netflix capability, and I start and it 277 00:15:03,320 --> 00:15:05,600 Speaker 1: picks up again. Right where I left off, and so 278 00:15:05,640 --> 00:15:09,240 Speaker 1: this is an experience that continues and it doesn't matter 279 00:15:09,280 --> 00:15:13,200 Speaker 1: what the context is. It follows me. It's context independent, 280 00:15:13,600 --> 00:15:16,240 Speaker 1: so I don't have to worry about fast forwarding to 281 00:15:16,400 --> 00:15:18,560 Speaker 1: get to the right section, so I can pick up 282 00:15:18,560 --> 00:15:20,760 Speaker 1: where I left off. It's going to just do that automatically. 283 00:15:21,280 --> 00:15:24,840 Speaker 1: This is a really valuable experience to consumers, and it's 284 00:15:24,840 --> 00:15:28,680 Speaker 1: the sort of thing that the Internet of Things really promises, 285 00:15:28,760 --> 00:15:32,360 Speaker 1: is this idea of a seamless experience where you go 286 00:15:32,480 --> 00:15:35,880 Speaker 1: from environment to environment and the environment adjusts to you 287 00:15:36,240 --> 00:15:39,400 Speaker 1: and gives you the experience you want um based upon 288 00:15:39,560 --> 00:15:42,000 Speaker 1: whatever your preferences are, and it may be that you 289 00:15:42,120 --> 00:15:47,400 Speaker 1: have to express those preferences in a very um ordered way. 290 00:15:47,920 --> 00:15:50,360 Speaker 1: And in fact, I would guess that the early early 291 00:15:50,520 --> 00:15:52,840 Speaker 1: versions of this technology are going to require a lot 292 00:15:52,880 --> 00:15:55,320 Speaker 1: of input on our part to be to work correctly. 293 00:15:55,960 --> 00:15:59,120 Speaker 1: But future systems will have a lot of learning behaviors 294 00:15:59,120 --> 00:16:02,720 Speaker 1: built into them so that based upon your behaviors in 295 00:16:02,760 --> 00:16:05,600 Speaker 1: the past and the things that you've already done, they 296 00:16:05,640 --> 00:16:08,760 Speaker 1: can anticipate what you want in the future and start 297 00:16:08,800 --> 00:16:11,640 Speaker 1: to set things up so that they will be ideal 298 00:16:11,680 --> 00:16:14,600 Speaker 1: for you before you even are necessarily conscious of it 299 00:16:15,280 --> 00:16:17,320 Speaker 1: and UH and we're seeing some of that too, Like 300 00:16:17,360 --> 00:16:20,440 Speaker 1: the Nest thermostat is a good example. So Nest thermostat 301 00:16:20,560 --> 00:16:25,480 Speaker 1: is a programmable thermostat that has some learning algorithms in 302 00:16:25,520 --> 00:16:29,280 Speaker 1: it that can, you know, based upon the way you 303 00:16:29,320 --> 00:16:33,440 Speaker 1: adjust the thermostat throughout the day, can start to automatically 304 00:16:33,560 --> 00:16:37,480 Speaker 1: make those adjustments for you. And you can also at 305 00:16:37,480 --> 00:16:40,720 Speaker 1: any time going and manually change it, either in the 306 00:16:40,760 --> 00:16:43,480 Speaker 1: house or building yourself, or you can even access it 307 00:16:43,560 --> 00:16:48,320 Speaker 1: over the internet. So there are opportunities there for other 308 00:16:48,360 --> 00:16:51,640 Speaker 1: appliances that do similar things to to do that. And 309 00:16:51,680 --> 00:16:56,880 Speaker 1: then we've got other possibilities as well. For example, that 310 00:16:56,920 --> 00:16:59,720 Speaker 1: you you're watching TV and you see a product on 311 00:16:59,760 --> 00:17:02,920 Speaker 1: tell Vision and you know you are the ultimate impulse 312 00:17:02,920 --> 00:17:06,280 Speaker 1: buyer and you think, I want that. Well, with the 313 00:17:06,320 --> 00:17:08,240 Speaker 1: Internet of Things, you can get to a point where 314 00:17:08,240 --> 00:17:10,000 Speaker 1: and a lot of companies have been trying to do this, 315 00:17:10,160 --> 00:17:12,000 Speaker 1: figure out a way where you can if you see 316 00:17:12,040 --> 00:17:14,600 Speaker 1: something on the screen that you want, you can indicate 317 00:17:14,680 --> 00:17:17,760 Speaker 1: I want that and then go and purchase it, UH 318 00:17:17,920 --> 00:17:21,200 Speaker 1: in a very easy, seamless way so that you don't 319 00:17:21,240 --> 00:17:24,919 Speaker 1: have to open up a tablet or or smartphone application 320 00:17:25,160 --> 00:17:28,760 Speaker 1: or pop open a computer in order to say this 321 00:17:28,840 --> 00:17:33,320 Speaker 1: thing I saw on TV, I want that make that mine. Um, 322 00:17:33,760 --> 00:17:37,160 Speaker 1: my TV provider already does that to some extent. Yeah, yeah, 323 00:17:37,200 --> 00:17:39,480 Speaker 1: there's there's some of that built in. It's it's still 324 00:17:39,560 --> 00:17:43,480 Speaker 1: not widespread and it's still not truly seamless, but it's 325 00:17:43,480 --> 00:17:46,720 Speaker 1: getting better. And that's another thing where we expect to see. 326 00:17:47,040 --> 00:17:49,679 Speaker 1: But when we talk about the Internet of things, you 327 00:17:49,720 --> 00:17:52,439 Speaker 1: have to think bigger than that. Like we're still talking 328 00:17:52,520 --> 00:17:56,560 Speaker 1: appliances and and you know, entertainment centers and stuff, so 329 00:17:56,720 --> 00:17:59,160 Speaker 1: radio's TVs and computers and all that. But but this 330 00:17:59,200 --> 00:18:02,800 Speaker 1: is really about putting computers and sensors and actuators in 331 00:18:03,240 --> 00:18:05,920 Speaker 1: lots of things. We have a lot more to say 332 00:18:05,960 --> 00:18:08,480 Speaker 1: about the Internet of things, but first let's take a 333 00:18:08,560 --> 00:18:18,600 Speaker 1: quick break to thank our sponsor. Well, one of the 334 00:18:19,480 --> 00:18:22,719 Speaker 1: I would say one of the most mature Internet of 335 00:18:22,760 --> 00:18:27,320 Speaker 1: things environments is the smart home, where you've got uh, 336 00:18:27,359 --> 00:18:32,280 Speaker 1: you know, your lights, your climate control, your garage door, um, 337 00:18:32,280 --> 00:18:35,120 Speaker 1: your the locks on your front door. Sh leg link 338 00:18:35,200 --> 00:18:37,919 Speaker 1: system that you uh you wrote on that for the 339 00:18:38,320 --> 00:18:40,960 Speaker 1: for the website. I'm not there's a you know, there's 340 00:18:41,040 --> 00:18:44,639 Speaker 1: a a schleg lock article I wrote, and it was 341 00:18:44,680 --> 00:18:47,080 Speaker 1: a few years ago about a system because it was 342 00:18:47,119 --> 00:18:49,159 Speaker 1: something I saw at c e S where you could 343 00:18:49,800 --> 00:18:53,240 Speaker 1: access the lock on your front door from the internet 344 00:18:53,359 --> 00:18:56,159 Speaker 1: and from a smartphone, you could unlock your door. So 345 00:18:56,359 --> 00:18:59,080 Speaker 1: let's say that you have a repairman showing up at 346 00:18:59,080 --> 00:19:02,119 Speaker 1: a certain time, Uh, you could, uh, you can unlock 347 00:19:02,160 --> 00:19:03,720 Speaker 1: the door for that person. You can also do things 348 00:19:03,720 --> 00:19:06,880 Speaker 1: like set up pass codes, temporary pass codes that would 349 00:19:06,920 --> 00:19:09,480 Speaker 1: only work within a certain block of time and outside 350 00:19:09,520 --> 00:19:11,280 Speaker 1: of that they would no longer work. So that way, 351 00:19:11,320 --> 00:19:13,679 Speaker 1: you could give a pass code to someone so that 352 00:19:13,680 --> 00:19:15,480 Speaker 1: they could, you know, maybe walk your dogs or what 353 00:19:15,560 --> 00:19:17,640 Speaker 1: are your plants or whatever it is, and then as 354 00:19:17,640 --> 00:19:21,160 Speaker 1: soon as as soon as that time expand, it is over, 355 00:19:21,600 --> 00:19:25,000 Speaker 1: it'll just automatically lock again. So yeah, I mean that's 356 00:19:25,040 --> 00:19:27,119 Speaker 1: that's the sort of stuff that you can see in 357 00:19:27,119 --> 00:19:30,160 Speaker 1: a smart home. That and alarm systems things like that 358 00:19:30,200 --> 00:19:33,119 Speaker 1: you can you can watch um uh it's easy to 359 00:19:33,280 --> 00:19:35,360 Speaker 1: if you have the camera setup, you can see what's 360 00:19:35,400 --> 00:19:38,719 Speaker 1: going on at your home. Um. If if you're like 361 00:19:38,840 --> 00:19:41,359 Speaker 1: me and you go, did I turn on the alarm? 362 00:19:41,400 --> 00:19:43,760 Speaker 1: Did I lock the door? You can do you can 363 00:19:43,800 --> 00:19:45,760 Speaker 1: take care of it. You know, if you get down 364 00:19:45,840 --> 00:19:47,719 Speaker 1: the road, you can pull over and get on your 365 00:19:47,720 --> 00:19:49,399 Speaker 1: smartphone and make sure that you lock your door and 366 00:19:49,400 --> 00:19:51,560 Speaker 1: make sure that you turn the alarm on, UM and 367 00:19:51,640 --> 00:19:54,840 Speaker 1: maybe the stove off, you know, those kinds of things. 368 00:19:54,880 --> 00:19:58,360 Speaker 1: And that's something that that is already pretty well established 369 00:19:58,400 --> 00:20:01,120 Speaker 1: in the market. Also, U the smart meters that they've 370 00:20:01,160 --> 00:20:03,560 Speaker 1: been putting in a lot of cities where um, they 371 00:20:03,600 --> 00:20:05,800 Speaker 1: don't have to send out a meter reader to your 372 00:20:05,920 --> 00:20:09,240 Speaker 1: to check your electricity. They can check that from AFAR. 373 00:20:09,400 --> 00:20:12,000 Speaker 1: And what what's funny to me is that it didn't 374 00:20:12,000 --> 00:20:14,640 Speaker 1: move quickly enough for Google and Microsoft, who have now 375 00:20:14,680 --> 00:20:17,399 Speaker 1: shut down their services. Well, I think that was mostly 376 00:20:17,400 --> 00:20:20,800 Speaker 1: because the uh, the companies that installed the smart meters 377 00:20:20,800 --> 00:20:25,240 Speaker 1: were not willing to share with Google and Microsoft um, 378 00:20:25,320 --> 00:20:27,480 Speaker 1: and the two companies were just saying, you know what, 379 00:20:27,520 --> 00:20:29,920 Speaker 1: if you guys aren't gonna help us out, we're gonna 380 00:20:29,920 --> 00:20:31,680 Speaker 1: shot these down and we're not going to mess with 381 00:20:31,720 --> 00:20:34,920 Speaker 1: it anymore. But I think that will eventually come back. 382 00:20:35,640 --> 00:20:39,479 Speaker 1: But cars too, are our online in ways that they 383 00:20:39,520 --> 00:20:41,920 Speaker 1: hadn't been before. And and again, if we're talking about 384 00:20:41,920 --> 00:20:45,560 Speaker 1: the future, you can imagine a system, a system where 385 00:20:45,600 --> 00:20:50,560 Speaker 1: cars all have technology UH installed, whether it's retrofitted or 386 00:20:50,760 --> 00:20:55,840 Speaker 1: just off the assembly line where there are there can 387 00:20:55,880 --> 00:20:59,360 Speaker 1: be sensors like collision detection sensors and alarm systems. There 388 00:20:59,359 --> 00:21:03,040 Speaker 1: can even be override systems where UH the you know, 389 00:21:03,160 --> 00:21:05,679 Speaker 1: we've seen this with like Google self driving cars. You 390 00:21:05,680 --> 00:21:08,560 Speaker 1: can you can imagine that being incorporated into vehicles off 391 00:21:08,560 --> 00:21:11,640 Speaker 1: the line where UM if you wanted to, you could 392 00:21:11,680 --> 00:21:14,560 Speaker 1: engage it so that the car drives itself and because 393 00:21:14,640 --> 00:21:19,880 Speaker 1: as these other UH sensors, it can navigate through traffic 394 00:21:19,960 --> 00:21:22,960 Speaker 1: without there being a danger of a collision, especially if 395 00:21:23,000 --> 00:21:25,560 Speaker 1: all the other cars are also on the same system. 396 00:21:25,960 --> 00:21:29,040 Speaker 1: Then you've got a computer that can manage everything so 397 00:21:29,119 --> 00:21:31,640 Speaker 1: that you get to where you're going in the most 398 00:21:31,680 --> 00:21:36,080 Speaker 1: efficient manner possible, which would be a huge relief. You know, 399 00:21:36,320 --> 00:21:40,359 Speaker 1: theoretically you could avoid traffic jams because a lot of 400 00:21:40,359 --> 00:21:44,640 Speaker 1: traffic jams depend upon human behavior and not necessarily something 401 00:21:45,320 --> 00:21:48,920 Speaker 1: UH that's actually actively blocking the street, although that could 402 00:21:49,000 --> 00:21:51,280 Speaker 1: happen too if there were if there were an incident 403 00:21:51,320 --> 00:21:55,720 Speaker 1: where something was blocking the street, then obviously that would 404 00:21:55,720 --> 00:21:59,320 Speaker 1: still be a problem, although a really robust system could 405 00:21:59,440 --> 00:22:04,000 Speaker 1: potentially navigate around that so that the the the impact 406 00:22:04,080 --> 00:22:07,760 Speaker 1: would be minimal on traffic. Uh. And you could also 407 00:22:07,800 --> 00:22:11,800 Speaker 1: see sensors being built into the infrastructure itself, so not 408 00:22:11,880 --> 00:22:16,320 Speaker 1: just the cars, but in streets uh and in the 409 00:22:16,880 --> 00:22:19,840 Speaker 1: you know, signs, things like that, so that it could 410 00:22:20,240 --> 00:22:24,320 Speaker 1: uh there, the system itself could maintain how much traffic 411 00:22:24,400 --> 00:22:28,399 Speaker 1: is going across it on a given day, help change 412 00:22:28,400 --> 00:22:31,720 Speaker 1: things like traffic light patterns. Um. So you're talking about 413 00:22:32,000 --> 00:22:34,040 Speaker 1: a system that's much more flexible and can change on 414 00:22:34,080 --> 00:22:40,480 Speaker 1: the fly. Uh and possibly possibly helps cities like Atlanta 415 00:22:41,160 --> 00:22:46,720 Speaker 1: with their horrible, horrible traffic problems. Atlanta's way up there, guys, 416 00:22:46,840 --> 00:22:51,119 Speaker 1: Los Angeles, Atlanta. I mean, we're we're hurting, and we 417 00:22:51,240 --> 00:22:53,320 Speaker 1: we could we could use the help. So so I 418 00:22:53,359 --> 00:22:56,400 Speaker 1: had some statistics. Let me read you them all right? UM. 419 00:22:56,960 --> 00:22:59,239 Speaker 1: Actually was if you if you're interested in reading more 420 00:22:59,240 --> 00:23:02,080 Speaker 1: about the Internet Things, I would also recommend um read 421 00:23:02,200 --> 00:23:05,240 Speaker 1: right Web, which is one of my favorite tech sites anyway. 422 00:23:05,280 --> 00:23:08,120 Speaker 1: But they have a whole section on Internet of Things articles. 423 00:23:08,720 --> 00:23:13,000 Speaker 1: UM and uh they had one where they quoted statistics 424 00:23:13,000 --> 00:23:15,480 Speaker 1: from the g s M A of All People. UM. 425 00:23:15,560 --> 00:23:18,360 Speaker 1: This is an organization. Uh you might know from our 426 00:23:18,359 --> 00:23:22,360 Speaker 1: other podcasts about cell phones. Um, but they're studying how 427 00:23:22,400 --> 00:23:25,280 Speaker 1: well connected things are because well, an internet of things 428 00:23:25,680 --> 00:23:29,720 Speaker 1: would be beneficial for them because they are the kinds 429 00:23:29,720 --> 00:23:32,440 Speaker 1: of things that you would manage through a smartphone. So 430 00:23:32,760 --> 00:23:35,359 Speaker 1: it's it's definitely something that they're interested in. Um. They 431 00:23:35,400 --> 00:23:38,080 Speaker 1: said that, uh, in twenty eleven, there were about nine 432 00:23:38,200 --> 00:23:41,680 Speaker 1: billion devices connected to the internet around the world. About 433 00:23:41,720 --> 00:23:44,399 Speaker 1: six billion of them are are something that you can 434 00:23:44,440 --> 00:23:48,400 Speaker 1: carry with you. But by they expected uh twenty four 435 00:23:48,440 --> 00:23:53,040 Speaker 1: billion connected devices and about half of those would be mobile. UM. 436 00:23:53,240 --> 00:23:59,000 Speaker 1: So it's definitely something that is that is growing exponentially. UM. 437 00:23:59,040 --> 00:24:02,119 Speaker 1: But it's at the same time, it's it's one of 438 00:24:02,160 --> 00:24:05,159 Speaker 1: those things that they're they're you know, as long as 439 00:24:05,200 --> 00:24:07,280 Speaker 1: everything is working the way it's supposed to and people 440 00:24:07,320 --> 00:24:11,320 Speaker 1: are behaving themselves, it's great because it can be real 441 00:24:11,400 --> 00:24:14,199 Speaker 1: time saving. UM. It can give you opportunities to to 442 00:24:14,480 --> 00:24:16,960 Speaker 1: do other things with your time and with your money 443 00:24:16,960 --> 00:24:22,120 Speaker 1: and really improve efficiency and turn things off that don't 444 00:24:22,119 --> 00:24:25,399 Speaker 1: need to be powered on electricity. You could improve your 445 00:24:25,480 --> 00:24:28,960 Speaker 1: quality of life to all kinds of people. Yeah, and 446 00:24:29,119 --> 00:24:31,680 Speaker 1: uh so yeah, there are a lot of potential benefits. 447 00:24:31,720 --> 00:24:34,959 Speaker 1: I mean, and we're still not even finished with all 448 00:24:35,000 --> 00:24:38,080 Speaker 1: the possibilities. I mean, there could be sensors built into 449 00:24:38,160 --> 00:24:42,520 Speaker 1: clothing should tell the clothing when it's dirty and when 450 00:24:42,520 --> 00:24:44,680 Speaker 1: it needs to be washed, and it could well what 451 00:24:44,840 --> 00:24:46,800 Speaker 1: would work great until you wash it and then you 452 00:24:46,840 --> 00:24:48,840 Speaker 1: know short circuits. Well, yeah, you got you have to 453 00:24:48,880 --> 00:24:50,639 Speaker 1: build in the right kind of fabrics so that you 454 00:24:50,680 --> 00:24:53,000 Speaker 1: can wash it. But we could get to a point 455 00:24:53,000 --> 00:24:55,199 Speaker 1: where sensors are built into clothing so that when you 456 00:24:55,240 --> 00:24:58,240 Speaker 1: put them in the washer, the washer detects from the 457 00:24:58,280 --> 00:25:00,439 Speaker 1: sensors what kind of clothing they are, what kind of 458 00:25:00,480 --> 00:25:02,680 Speaker 1: cycle it needs to go through. So then you get 459 00:25:02,680 --> 00:25:05,480 Speaker 1: to a point where you know, you just need a 460 00:25:05,600 --> 00:25:08,119 Speaker 1: robot to disrobe you and put it into the washer 461 00:25:08,280 --> 00:25:12,040 Speaker 1: and other and then you don't have to do anything else. Thanks, yeah, 462 00:25:13,160 --> 00:25:17,280 Speaker 1: she needs a bonus. So the yeah, there's there are 463 00:25:17,280 --> 00:25:20,840 Speaker 1: a lot of different things that could happen. And and uh, 464 00:25:20,880 --> 00:25:23,520 Speaker 1: you know, we're talking about a point where these sensors 465 00:25:23,560 --> 00:25:26,399 Speaker 1: and these computer systems are pervasive. They need to be 466 00:25:26,480 --> 00:25:30,159 Speaker 1: both pervasive and transparent. And by that I mean for 467 00:25:30,200 --> 00:25:32,840 Speaker 1: this system to be something that works seamlessly. You don't 468 00:25:32,880 --> 00:25:35,000 Speaker 1: want to you don't want to see all the wires 469 00:25:35,359 --> 00:25:38,600 Speaker 1: what I'm getting at, So uh and and there are 470 00:25:38,600 --> 00:25:41,680 Speaker 1: a lot of companies working to kind of tackle that problem. Now, 471 00:25:42,080 --> 00:25:47,520 Speaker 1: there is another major concern that arises out of this 472 00:25:47,640 --> 00:25:50,760 Speaker 1: world of the future. Well, one of the concerns I 473 00:25:50,800 --> 00:25:53,080 Speaker 1: was thinking of. And I think it's not the one 474 00:25:53,080 --> 00:25:55,600 Speaker 1: that you're about to say, um, because I think the 475 00:25:55,600 --> 00:25:57,720 Speaker 1: other one that you're about to say is bigger. But 476 00:25:57,760 --> 00:26:00,800 Speaker 1: I mean it's, um, taking down the Internet at that 477 00:26:00,840 --> 00:26:05,080 Speaker 1: point becomes a much bigger deal, because I mean, you 478 00:26:05,119 --> 00:26:08,240 Speaker 1: see that all the time in uh, in corporate America. 479 00:26:08,520 --> 00:26:10,720 Speaker 1: You know, everybody has a computer on their desk now, 480 00:26:11,520 --> 00:26:14,600 Speaker 1: and then when something happens at the network, nobody gets 481 00:26:14,600 --> 00:26:17,800 Speaker 1: anything done. And that's going to happen when everybody gets 482 00:26:17,880 --> 00:26:20,560 Speaker 1: used to the Internet of things and suddenly there's a 483 00:26:20,560 --> 00:26:23,560 Speaker 1: network outage or power outage. I can't cook my fridge 484 00:26:23,560 --> 00:26:26,640 Speaker 1: won't tell me what to make exactly. And and yes 485 00:26:26,680 --> 00:26:30,320 Speaker 1: it's a joke, but people, once you get reliant on 486 00:26:30,320 --> 00:26:34,399 Speaker 1: that technology, when there is a glitch or a network 487 00:26:34,440 --> 00:26:38,120 Speaker 1: problem or something like that, it it throws us off. Um. 488 00:26:38,160 --> 00:26:40,360 Speaker 1: And it could you know, We've got all our traffic 489 00:26:40,440 --> 00:26:44,080 Speaker 1: lights and everything, all our traffic systems online, and oh 490 00:26:44,600 --> 00:26:48,000 Speaker 1: the power grid is overwhelmed and it shut down. Now 491 00:26:48,000 --> 00:26:50,879 Speaker 1: the internet out. That's the smart grid. See when you 492 00:26:50,920 --> 00:26:53,360 Speaker 1: have the smart grid than the power grid's fine, No, no, no, 493 00:26:53,400 --> 00:26:55,280 Speaker 1: you're you're totally right. And and of course a lot 494 00:26:55,320 --> 00:26:58,560 Speaker 1: of these systems, especially the ones that are related to infrastructure, 495 00:26:58,960 --> 00:27:03,440 Speaker 1: would bind a necessity require redundant systems that are even 496 00:27:03,520 --> 00:27:07,720 Speaker 1: if they are the old preconnected systems, there would be 497 00:27:07,800 --> 00:27:12,399 Speaker 1: necessary So for example, your smart grid traffic light system 498 00:27:12,480 --> 00:27:16,080 Speaker 1: may revert back to a pre smart grid version so 499 00:27:16,119 --> 00:27:18,560 Speaker 1: that it's still working. You know, it's still working, it's 500 00:27:18,560 --> 00:27:22,320 Speaker 1: just not it's just not flexible like it used to be. Um. 501 00:27:22,440 --> 00:27:24,240 Speaker 1: Or at least you get maybe the flashing red lights 502 00:27:24,280 --> 00:27:28,360 Speaker 1: and hopefully people treated like a four way stop in Atlanta. 503 00:27:28,440 --> 00:27:30,440 Speaker 1: That's a that's a hope that you make in Vain. 504 00:27:30,800 --> 00:27:33,720 Speaker 1: I'm to the point now where I'm not flexible like 505 00:27:33,760 --> 00:27:36,560 Speaker 1: I used to be either. No, I can't even put 506 00:27:36,560 --> 00:27:38,919 Speaker 1: on my own shoes anymore. Um. It also would be 507 00:27:38,920 --> 00:27:42,160 Speaker 1: a tantalizing target for a terrorist. And not just saying 508 00:27:42,160 --> 00:27:44,680 Speaker 1: that because it's alliterative, but it's the kind of thing 509 00:27:44,720 --> 00:27:47,560 Speaker 1: that that you know, if you're looking for a way 510 00:27:47,560 --> 00:27:52,680 Speaker 1: to disrupt people's lives and cause panic, that could do it, yeah, 511 00:27:52,720 --> 00:27:55,520 Speaker 1: if you're Yeah. Now, part of the part of the 512 00:27:55,560 --> 00:27:58,320 Speaker 1: defense of that is that the Internet is pretty darn 513 00:27:58,440 --> 00:28:01,600 Speaker 1: robust and and there are a lot of different ways 514 00:28:01,600 --> 00:28:04,240 Speaker 1: of working around problems. But if you were able to 515 00:28:04,240 --> 00:28:07,880 Speaker 1: find a way to, I don't know, inflict a widespread 516 00:28:08,040 --> 00:28:12,080 Speaker 1: virus that could, uh could come up the works, and 517 00:28:12,119 --> 00:28:14,679 Speaker 1: that could be enough to really make an impact. But 518 00:28:14,840 --> 00:28:16,960 Speaker 1: you know, trying to actually take down the Internet in 519 00:28:16,960 --> 00:28:20,399 Speaker 1: the sense of I want to target the Internet because 520 00:28:20,440 --> 00:28:22,560 Speaker 1: everyone's connected to it and if I if I shut 521 00:28:22,600 --> 00:28:25,679 Speaker 1: it down, then it's going to cause chaos. That's a 522 00:28:25,760 --> 00:28:28,640 Speaker 1: huge endeavor. I mean, that's not something that's easily done. 523 00:28:29,160 --> 00:28:32,160 Speaker 1: You know, the Internet is all around us and something 524 00:28:32,200 --> 00:28:35,480 Speaker 1: else that's all around us our ads. So we're gonna 525 00:28:35,480 --> 00:28:46,240 Speaker 1: listen to some. But yeah, the other big concern, the 526 00:28:46,280 --> 00:28:49,160 Speaker 1: major one that I think a lot of consumers should 527 00:28:49,200 --> 00:28:52,000 Speaker 1: keep in mind is privacy issues. So if you've got 528 00:28:52,000 --> 00:28:54,640 Speaker 1: an Internet of things, you've got all these sensors around you, 529 00:28:55,080 --> 00:28:58,280 Speaker 1: and you've and on you potentially um in the various 530 00:28:58,280 --> 00:29:01,160 Speaker 1: things that you're carrying or possibly even airing, well then 531 00:29:01,560 --> 00:29:04,600 Speaker 1: you could be you know, worried about your privacy because 532 00:29:04,640 --> 00:29:07,800 Speaker 1: because the same systems that can make the environment so 533 00:29:07,920 --> 00:29:11,280 Speaker 1: pleasant for us and to customize our experience in such 534 00:29:11,280 --> 00:29:16,240 Speaker 1: a way that we have the best sort of experience possible. 535 00:29:16,240 --> 00:29:21,800 Speaker 1: I mean, imagine walking through a building that automatically is 536 00:29:22,120 --> 00:29:25,360 Speaker 1: adjusting to your preferences so that the lighting is just 537 00:29:25,480 --> 00:29:28,200 Speaker 1: the way you would like it and the the ambient 538 00:29:28,280 --> 00:29:31,800 Speaker 1: noise is just what you would want. That's that's a 539 00:29:31,880 --> 00:29:34,880 Speaker 1: neat vision of the future. But it also means that 540 00:29:34,920 --> 00:29:37,880 Speaker 1: there's a system that knows that you are there. They 541 00:29:37,920 --> 00:29:40,080 Speaker 1: know when you're there, they know how long you're there, 542 00:29:40,120 --> 00:29:41,960 Speaker 1: they know when you arrived, they know where you came from, 543 00:29:42,000 --> 00:29:44,760 Speaker 1: they know where you went to. Because it's a If 544 00:29:44,760 --> 00:29:47,160 Speaker 1: it's a big system that's keeping track of all of this, 545 00:29:47,520 --> 00:29:50,400 Speaker 1: then it's keeping track of you. And as you move 546 00:29:50,440 --> 00:29:53,920 Speaker 1: around and interact with the various environments around you, there 547 00:29:54,000 --> 00:29:56,600 Speaker 1: is a record there. You are leaving a digital footprint 548 00:29:56,720 --> 00:30:00,480 Speaker 1: everywhere you go, and by necessity, that foot print has 549 00:30:00,520 --> 00:30:03,520 Speaker 1: to be identified with you on some level. It might 550 00:30:03,520 --> 00:30:06,160 Speaker 1: be a superficial level, but it has to be identified 551 00:30:06,200 --> 00:30:10,120 Speaker 1: with you because otherwise your experience isn't customized. That's the 552 00:30:10,160 --> 00:30:12,120 Speaker 1: point of doing it. Yeah, the whole point of doing 553 00:30:12,120 --> 00:30:15,280 Speaker 1: it is so that I Jonathan Strickland, as I walk 554 00:30:15,320 --> 00:30:18,600 Speaker 1: around in my life experience the best sort of outcomes 555 00:30:18,640 --> 00:30:23,240 Speaker 1: possible considering my preferences. Well, if they you know, if 556 00:30:23,280 --> 00:30:26,080 Speaker 1: if nothing is connected to me, then there's no that 557 00:30:26,280 --> 00:30:29,280 Speaker 1: all it's to use is tracking that there that someone 558 00:30:29,400 --> 00:30:32,240 Speaker 1: is moving around, but it doesn't know how to adjust 559 00:30:32,800 --> 00:30:35,520 Speaker 1: you know, the settings were anything to make it ideal 560 00:30:35,560 --> 00:30:39,400 Speaker 1: for me. So that's the trade off is do we 561 00:30:39,720 --> 00:30:43,200 Speaker 1: go with this world where we have this custom experience 562 00:30:43,240 --> 00:30:45,760 Speaker 1: to life? This the sort of idea where we have 563 00:30:45,800 --> 00:30:49,440 Speaker 1: truly manipulated our environment to the fullest extent possible so 564 00:30:49,480 --> 00:30:53,080 Speaker 1: that every person is getting as ideal and experience as 565 00:30:53,120 --> 00:30:56,680 Speaker 1: we can hope to achieve. But on the flip side, 566 00:30:57,160 --> 00:31:00,040 Speaker 1: every single movement you make is essentially and everything a 567 00:31:00,200 --> 00:31:02,880 Speaker 1: thing you do is essentially tracked. Now, there are a 568 00:31:02,920 --> 00:31:04,800 Speaker 1: lot of different ways to approach this, where you build 569 00:31:04,800 --> 00:31:08,240 Speaker 1: in security systems so that everything is encrypted so that yes, 570 00:31:08,480 --> 00:31:11,960 Speaker 1: everything is tracked, but it's not easy for anyone outside 571 00:31:12,000 --> 00:31:15,360 Speaker 1: to see what you did. Win, But there are big concerns. 572 00:31:15,360 --> 00:31:18,520 Speaker 1: I mean, what if you happen to be in an 573 00:31:18,560 --> 00:31:22,200 Speaker 1: area where a crime is committed and you don't even 574 00:31:22,200 --> 00:31:24,800 Speaker 1: witness it. You're not you're not a witness to this crime. 575 00:31:24,960 --> 00:31:27,200 Speaker 1: You were unaware that the crime had happened. And the 576 00:31:27,240 --> 00:31:30,680 Speaker 1: crime could be anything. Let's say it's robbery. So you 577 00:31:30,720 --> 00:31:32,720 Speaker 1: happen to be in the same place at the same 578 00:31:32,760 --> 00:31:34,760 Speaker 1: time as a robbery, but you're not in the exact 579 00:31:34,800 --> 00:31:39,280 Speaker 1: same area, but but it's tracked you there, and then 580 00:31:39,520 --> 00:31:43,080 Speaker 1: you happen to be late to something, so you make 581 00:31:43,520 --> 00:31:47,360 Speaker 1: a faster than normal egress from the area in order 582 00:31:47,360 --> 00:31:50,600 Speaker 1: to make your next appointment. And uh, it could very 583 00:31:50,600 --> 00:31:53,720 Speaker 1: well be the law enforcement when looking and reviewing records. 584 00:31:53,800 --> 00:31:56,160 Speaker 1: If you're leaving a digital footprint that can be traced 585 00:31:56,160 --> 00:31:58,360 Speaker 1: back to you could say, hey, this is a person 586 00:31:58,360 --> 00:32:01,800 Speaker 1: of interest because look, they were there at this particular time, 587 00:32:01,840 --> 00:32:04,720 Speaker 1: and then they left in a real hurry at at 588 00:32:04,760 --> 00:32:07,840 Speaker 1: that you know, shortly after the robbery took place. And 589 00:32:07,880 --> 00:32:10,200 Speaker 1: then next thing you know, you're being hassled about something 590 00:32:10,200 --> 00:32:14,120 Speaker 1: that you had no knowledge of. Or let's say that 591 00:32:14,200 --> 00:32:18,920 Speaker 1: you are doing something naughty, something that is frowned upon, 592 00:32:19,000 --> 00:32:21,720 Speaker 1: whether it's illegal or an ethical or whatever. Well, now 593 00:32:21,760 --> 00:32:25,440 Speaker 1: you've got a record of it everywhere. So some of 594 00:32:25,520 --> 00:32:29,400 Speaker 1: us who consider ourselves to be fairly ethical people might say, 595 00:32:29,880 --> 00:32:34,320 Speaker 1: you know, I understand, but I don't really do anything terrible, 596 00:32:34,480 --> 00:32:36,960 Speaker 1: so I don't see what that's a concern. Some people 597 00:32:36,960 --> 00:32:41,160 Speaker 1: who are truly ethical people will be saying, this is 598 00:32:41,200 --> 00:32:45,400 Speaker 1: an awful idea. I mean, whether I do anything wrong 599 00:32:45,560 --> 00:32:48,760 Speaker 1: is immaterial. I don't want there to be a system 600 00:32:48,800 --> 00:32:51,320 Speaker 1: that tracks everything I do all the time. I want 601 00:32:51,480 --> 00:32:55,600 Speaker 1: I want privacy in my life. And uh so that 602 00:32:55,600 --> 00:32:58,160 Speaker 1: that is a huge hurdle. I mean, do we do 603 00:32:58,200 --> 00:33:02,240 Speaker 1: we adopt this world to the future where we can 604 00:33:02,320 --> 00:33:06,120 Speaker 1: have this kind of experience, or do we shy away 605 00:33:06,160 --> 00:33:10,160 Speaker 1: from it because we don't want to have a living 606 00:33:10,280 --> 00:33:14,480 Speaker 1: record of everything we do every day until we're you know, 607 00:33:15,760 --> 00:33:19,640 Speaker 1: part of the environment as opposed to experiencing it. Yeah. Well, 608 00:33:19,680 --> 00:33:22,320 Speaker 1: and and that's, um, you know, that's one of those 609 00:33:22,320 --> 00:33:28,560 Speaker 1: conflicts that's difficult because the the um the benefits of 610 00:33:28,600 --> 00:33:32,720 Speaker 1: some of this technology are pretty obvious, and you say, well, 611 00:33:32,760 --> 00:33:34,720 Speaker 1: you know, I really like this stuff. I wish I 612 00:33:34,720 --> 00:33:37,880 Speaker 1: could do that, but I'm just not comfortable with giving 613 00:33:37,960 --> 00:33:42,120 Speaker 1: up my privacy. Um. I'm one of those people. Um So, yeah, 614 00:33:42,160 --> 00:33:44,120 Speaker 1: I mean I could, I could tell you from personal 615 00:33:44,160 --> 00:33:49,600 Speaker 1: experience that it's not it's not a simple question to answer. Um, 616 00:33:49,680 --> 00:33:51,840 Speaker 1: A lot of these technologies are are things that we 617 00:33:51,880 --> 00:33:55,600 Speaker 1: can implement without having to give up too much your privacy. UM. 618 00:33:55,840 --> 00:33:59,240 Speaker 1: And then others you know, uh, you have to go, well, 619 00:33:59,280 --> 00:34:01,080 Speaker 1: I'm gonna have to make a decision here one way 620 00:34:01,160 --> 00:34:05,440 Speaker 1: or the other. Yes, yeah, it's UM, it's it's definitely 621 00:34:05,520 --> 00:34:08,960 Speaker 1: an exciting time to see these developments take place. And 622 00:34:09,800 --> 00:34:13,440 Speaker 1: I think, you know, we we are looking at possibilities, 623 00:34:13,440 --> 00:34:15,840 Speaker 1: but we also have to remember that this is not 624 00:34:15,920 --> 00:34:20,600 Speaker 1: going to be a super fast transition and some stuff 625 00:34:20,640 --> 00:34:24,080 Speaker 1: probably just won't work. Because you can build the best 626 00:34:24,200 --> 00:34:26,120 Speaker 1: system in the world, but if people don't use it 627 00:34:26,160 --> 00:34:27,719 Speaker 1: the way you thought they were going to use it, 628 00:34:27,800 --> 00:34:31,239 Speaker 1: then it becomes a problem. And and that's one of 629 00:34:31,239 --> 00:34:34,200 Speaker 1: the things is that it's hard to predict user behavior 630 00:34:34,880 --> 00:34:37,680 Speaker 1: when you're first designing a system. I think a lot 631 00:34:37,760 --> 00:34:41,840 Speaker 1: of people were very skeptical of smartphone apps when smartphones 632 00:34:41,880 --> 00:34:43,560 Speaker 1: because a lot of the smartphone apps that first came 633 00:34:43,560 --> 00:34:47,600 Speaker 1: out were very much curiosities. They weren't necessarily that useful. 634 00:34:47,920 --> 00:34:51,680 Speaker 1: But now mobile apps, that is that is the thing. 635 00:34:51,760 --> 00:34:54,640 Speaker 1: I mean, that's the huge craze in tech right. I mean, 636 00:34:55,400 --> 00:34:58,920 Speaker 1: we're seeing big companies scoop up small mobile app companies 637 00:34:58,920 --> 00:35:02,520 Speaker 1: for billions of dollars because it's a big deal. So 638 00:35:02,880 --> 00:35:06,120 Speaker 1: if the Internet of Things takes a route similar to 639 00:35:06,160 --> 00:35:09,800 Speaker 1: the way smartphones and mobile technology and apps have, then 640 00:35:10,239 --> 00:35:14,640 Speaker 1: it's definitely gonna become something pervasive and hopefully more useful 641 00:35:14,680 --> 00:35:19,399 Speaker 1: than problematic. But it's also possible that the first few 642 00:35:19,400 --> 00:35:23,160 Speaker 1: implementations of this kind of technology could fall flat, that 643 00:35:23,239 --> 00:35:25,480 Speaker 1: they just don't work the way they were anticipated to. 644 00:35:25,680 --> 00:35:29,759 Speaker 1: And if it's if it's a big enough failure, it 645 00:35:29,880 --> 00:35:32,520 Speaker 1: may mean that we don't see this Internet of things 646 00:35:32,600 --> 00:35:36,160 Speaker 1: truly emerge because companies may shy away from it. Yeah. Well, 647 00:35:36,200 --> 00:35:39,400 Speaker 1: I mean, like like I was saying earlier, I mean, 648 00:35:39,440 --> 00:35:41,680 Speaker 1: there are some things that are already there. We're already 649 00:35:41,719 --> 00:35:44,000 Speaker 1: in the world. The thing is, there's I think it's 650 00:35:44,000 --> 00:35:46,720 Speaker 1: going to end up being a situation where consumer demand 651 00:35:46,840 --> 00:35:50,000 Speaker 1: drives a lot of things like the washer and dryer. 652 00:35:50,120 --> 00:35:53,680 Speaker 1: That situation where you know, the washer wood communicated, the dryer, Hey, 653 00:35:53,760 --> 00:35:57,799 Speaker 1: expect a load of permanent press it's coming. Um, you know, 654 00:35:57,880 --> 00:36:01,160 Speaker 1: that may not necessarily take off. You know, if it's 655 00:36:01,160 --> 00:36:04,040 Speaker 1: a five option and people go, I don't I'm not 656 00:36:04,040 --> 00:36:06,360 Speaker 1: going to spend it on that. Now, having an email 657 00:36:06,400 --> 00:36:07,880 Speaker 1: sent to you to tell you, hey, it's time to 658 00:36:07,960 --> 00:36:10,920 Speaker 1: change the clothes over sticking in the in the dryer. Um, 659 00:36:10,960 --> 00:36:13,040 Speaker 1: now that would be useful. So I think it's people 660 00:36:13,080 --> 00:36:14,680 Speaker 1: are gonna say why I want that? But I don't. 661 00:36:14,719 --> 00:36:17,080 Speaker 1: I mean, why would I want this? It may also 662 00:36:17,160 --> 00:36:18,919 Speaker 1: be one of those things where a lot of these 663 00:36:18,920 --> 00:36:22,840 Speaker 1: features end up getting built into all models. Eventually, like 664 00:36:22,880 --> 00:36:25,200 Speaker 1: it filters down so it no longer becomes like a 665 00:36:25,239 --> 00:36:29,239 Speaker 1: premium model of a particular appliance. It just becomes a 666 00:36:29,320 --> 00:36:32,760 Speaker 1: standard feature that you find across all models of that appliance. 667 00:36:33,200 --> 00:36:36,279 Speaker 1: And uh and in that case, um, you might end 668 00:36:36,360 --> 00:36:40,600 Speaker 1: up slowly adopting it, but uh, there are other times 669 00:36:40,600 --> 00:36:43,799 Speaker 1: where you might see companies just abandoned it. Another good 670 00:36:43,800 --> 00:36:46,480 Speaker 1: example of this is like three D television. You know, 671 00:36:47,160 --> 00:36:49,120 Speaker 1: there's there are a lot of television sets out there 672 00:36:49,160 --> 00:36:51,799 Speaker 1: that have three D built into them, but they're not 673 00:36:51,840 --> 00:36:57,000 Speaker 1: necessarily um marketed as three D TVs. Well, that that 674 00:36:57,080 --> 00:36:58,880 Speaker 1: might be what we see in the future with these 675 00:36:59,000 --> 00:37:02,840 Speaker 1: internet connected appliances, that it's just one of the features 676 00:37:02,880 --> 00:37:05,719 Speaker 1: of the appliance and it's not the selling feature, and 677 00:37:05,800 --> 00:37:09,400 Speaker 1: that it's not necessarily priced higher because of it. Um, 678 00:37:09,440 --> 00:37:12,080 Speaker 1: it's just one of the many things that comes with 679 00:37:12,120 --> 00:37:14,920 Speaker 1: that particular appliance. And the other thing that we'll have 680 00:37:15,040 --> 00:37:18,919 Speaker 1: to have is some sort of universal standard of communication 681 00:37:19,000 --> 00:37:21,759 Speaker 1: for this to truly work, or you're going to see 682 00:37:21,800 --> 00:37:26,799 Speaker 1: third party companies pop up and their specialty is creating 683 00:37:26,920 --> 00:37:31,800 Speaker 1: some sort of communication hub where different protocols can actually 684 00:37:31,840 --> 00:37:36,120 Speaker 1: work together with one another, at least on a superficial level. Uh. 685 00:37:36,160 --> 00:37:39,480 Speaker 1: And so my point there is that if manufacturers don't 686 00:37:39,640 --> 00:37:44,000 Speaker 1: start looking into ways where their technologies can talk to 687 00:37:44,040 --> 00:37:47,080 Speaker 1: other companies technologies, a third party is going to find 688 00:37:47,080 --> 00:37:48,880 Speaker 1: a way to make it happen, and then they're gonna 689 00:37:48,960 --> 00:37:52,880 Speaker 1: just explode. And that wraps up another classic episode of 690 00:37:52,920 --> 00:37:55,640 Speaker 1: tech stuff. I hope you guys enjoyed it. This is 691 00:37:55,640 --> 00:37:57,359 Speaker 1: what I was talking about if you listened a few 692 00:37:57,360 --> 00:37:58,880 Speaker 1: weeks ago, I mentioned that there were going to be 693 00:37:58,920 --> 00:38:01,680 Speaker 1: some upcoming classic epis zodes that would be a little 694 00:38:01,800 --> 00:38:05,200 Speaker 1: amusing to listen to in light of the years that 695 00:38:05,280 --> 00:38:09,160 Speaker 1: have passed. That's the challenging thing about picking classic episodes 696 00:38:09,200 --> 00:38:12,920 Speaker 1: of a technology podcast. Things change so quickly. But then 697 00:38:12,960 --> 00:38:15,319 Speaker 1: I thought, you know what, it's also an opportunity to 698 00:38:15,400 --> 00:38:18,520 Speaker 1: kind of reflect back on what are thinking was like 699 00:38:19,080 --> 00:38:22,200 Speaker 1: a few years ago and see how things have developed 700 00:38:22,280 --> 00:38:26,239 Speaker 1: differently than the way we anticipated, or sometimes how we 701 00:38:26,400 --> 00:38:30,080 Speaker 1: managed to actually hit upon how things are going to evolve. 702 00:38:30,760 --> 00:38:33,040 Speaker 1: I think we miss more frequently than we hit. There's 703 00:38:33,080 --> 00:38:35,960 Speaker 1: just too much that's unpredictable out there, but it's still 704 00:38:36,000 --> 00:38:38,080 Speaker 1: interesting to go back there. If you guys have any 705 00:38:38,120 --> 00:38:41,080 Speaker 1: suggestions for future episodes of tech Stuff, send me a message. 706 00:38:41,080 --> 00:38:44,680 Speaker 1: The address is tech stuff at how stuff works dot com, 707 00:38:44,840 --> 00:38:47,160 Speaker 1: or pop on over to our website that's tech stuff 708 00:38:47,200 --> 00:38:50,120 Speaker 1: podcast dot com, where you'll find links to the social media, 709 00:38:50,520 --> 00:38:53,919 Speaker 1: you'll find all the archived podcasts. You'll find a link 710 00:38:53,960 --> 00:38:56,799 Speaker 1: to our online store. Check all that out and I'll 711 00:38:56,800 --> 00:39:05,520 Speaker 1: talk to you again really soon for more on this 712 00:39:05,719 --> 00:39:08,239 Speaker 1: and thousands of other topics. Is that how stuff works 713 00:39:08,239 --> 00:39:18,440 Speaker 1: dot com.