1 00:00:01,120 --> 00:00:03,400 Speaker 1: Welcome to Stuff you Should Know, a production of My 2 00:00:03,600 --> 00:00:12,720 Speaker 1: Heart Radios How Stuff Works. Hey, and welcome to the podcast. 3 00:00:12,840 --> 00:00:15,880 Speaker 1: I'm Josh Clark, and there's Charles W. Chuck Bryant. There's 4 00:00:15,880 --> 00:00:20,279 Speaker 1: guest producer Andrew over there. Uh and um, this is 5 00:00:20,280 --> 00:00:24,239 Speaker 1: stuff you should know everybody, the real, real edition, but 6 00:00:24,360 --> 00:00:29,479 Speaker 1: not the online consignment retailer. Just meaning real twice over. 7 00:00:29,760 --> 00:00:34,879 Speaker 1: That's right, very real. Yeah, not augmented it anyway. As 8 00:00:34,920 --> 00:00:36,800 Speaker 1: a matter of factor. About as low tech as it 9 00:00:36,840 --> 00:00:39,720 Speaker 1: comes as far as podcasts go. Oh, I think all 10 00:00:39,760 --> 00:00:43,240 Speaker 1: podcasts are pretty low tech, right, No, some people really 11 00:00:43,320 --> 00:00:47,640 Speaker 1: kind of you know, jazz it up a little razzle dazzle. Sure, Like, 12 00:00:47,680 --> 00:00:50,000 Speaker 1: could you imagine a world where someone listens to Stuff 13 00:00:50,040 --> 00:00:55,320 Speaker 1: you should Know and they're wearing a headset and in 14 00:00:55,360 --> 00:00:58,840 Speaker 1: front of their face that was either us or what 15 00:00:58,840 --> 00:01:02,960 Speaker 1: we're talking about, or any of a mix of those things, 16 00:01:03,360 --> 00:01:06,319 Speaker 1: I like, the second idea or what we're talking about, 17 00:01:06,520 --> 00:01:08,720 Speaker 1: or if it was an animated version of us. Remember 18 00:01:08,720 --> 00:01:12,720 Speaker 1: those animated shorts. Yeah, gosh, those were good. Yeah. And 19 00:01:12,760 --> 00:01:15,679 Speaker 1: you know we have a mutual friend, uh who I 20 00:01:15,720 --> 00:01:18,680 Speaker 1: will tell name off air to you who was getting 21 00:01:18,720 --> 00:01:21,520 Speaker 1: into this quite a few years ago with another company 22 00:01:22,400 --> 00:01:25,160 Speaker 1: and came to me and was like, Hey, what do 23 00:01:25,200 --> 00:01:29,840 Speaker 1: you think about maybe one day you and Josh, you know, 24 00:01:30,280 --> 00:01:33,559 Speaker 1: doing these shooting videos. And at first I was like, Nope, 25 00:01:35,200 --> 00:01:38,160 Speaker 1: now hear me out shooting videos to where we were, 26 00:01:38,319 --> 00:01:41,480 Speaker 1: let's say, walking people on a virtual tour of like 27 00:01:41,840 --> 00:01:44,240 Speaker 1: a neighborhood in New York City and telling about the 28 00:01:44,360 --> 00:01:46,080 Speaker 1: history and the way that we do and stuff like, 29 00:01:46,120 --> 00:01:49,640 Speaker 1: Oh man, that would be awesome. You think, yes, dude, 30 00:01:50,320 --> 00:01:52,960 Speaker 1: I think people would love that. I would love that. Well, 31 00:01:53,000 --> 00:01:55,840 Speaker 1: this person was also a big believer in a R 32 00:01:55,920 --> 00:01:59,120 Speaker 1: and said, dude, in a few years, you won't be 33 00:01:59,160 --> 00:02:02,640 Speaker 1: able to buy a pair of glasses or sunglasses that 34 00:02:02,760 --> 00:02:05,360 Speaker 1: don't have this built in. Yeah. I think your friend 35 00:02:05,440 --> 00:02:07,760 Speaker 1: is right. Well, no, this was a few years ago. 36 00:02:08,960 --> 00:02:11,080 Speaker 1: It's like it's it should be happening right now according 37 00:02:11,120 --> 00:02:14,720 Speaker 1: to this person. Yeah, I remember at the time thinking 38 00:02:15,760 --> 00:02:17,800 Speaker 1: not only will that not happen in a few years, 39 00:02:17,919 --> 00:02:20,880 Speaker 1: but that will never happen. I don't know, man, I 40 00:02:20,919 --> 00:02:23,120 Speaker 1: don't know. So I I see what you're saying, Like, 41 00:02:23,440 --> 00:02:25,640 Speaker 1: with a lot of tech, there's like, you know, in 42 00:02:25,760 --> 00:02:27,760 Speaker 1: five years, this is going to be all the rage. 43 00:02:27,760 --> 00:02:29,720 Speaker 1: And then five years comes and goes, and we're not 44 00:02:29,760 --> 00:02:32,840 Speaker 1: that much further along. But if you step back and 45 00:02:32,880 --> 00:02:37,640 Speaker 1: look at the progress that augmented reality is making, um 46 00:02:38,120 --> 00:02:40,680 Speaker 1: I it's I think your friend is ultimately going to 47 00:02:40,720 --> 00:02:43,880 Speaker 1: be proven right. Maybe not over the same time frame obviously, 48 00:02:43,919 --> 00:02:48,120 Speaker 1: because they totally failed with their prediction, but I think 49 00:02:48,280 --> 00:02:52,080 Speaker 1: in the end, your friend will be vindicated. I hope 50 00:02:52,160 --> 00:02:54,680 Speaker 1: is this somebody? Is this somebody that I like, because 51 00:02:54,720 --> 00:02:57,120 Speaker 1: I hope it's not someone I dislike, and I'm vindicating 52 00:02:57,160 --> 00:02:59,280 Speaker 1: them because I feel like I'm trapped here. Here's my 53 00:02:59,320 --> 00:03:03,360 Speaker 1: prediction is that in the future there could be for 54 00:03:03,440 --> 00:03:06,120 Speaker 1: sure people that are into this and that you can 55 00:03:06,160 --> 00:03:09,320 Speaker 1: easily buy glasses like this. But I think the notion 56 00:03:09,440 --> 00:03:14,239 Speaker 1: that this is all of humans at some point walking 57 00:03:14,240 --> 00:03:19,240 Speaker 1: around like this is silly. Well, we'll see, we'll see. 58 00:03:19,240 --> 00:03:21,600 Speaker 1: We'll revisit this in five years, and I think things 59 00:03:21,600 --> 00:03:23,839 Speaker 1: will will be a lot different than I think. You'll 60 00:03:23,880 --> 00:03:26,280 Speaker 1: be singing a different tune walking around with your VR 61 00:03:26,320 --> 00:03:29,399 Speaker 1: glasses on. All right, mark the date everyone, Okay, five 62 00:03:29,480 --> 00:03:31,880 Speaker 1: years from now. Yep, I'm not gonna say I'll buy 63 00:03:31,919 --> 00:03:38,200 Speaker 1: everyone a beer if that Halloween twenty uh twenty four, Yeah, 64 00:03:38,240 --> 00:03:41,200 Speaker 1: that's five years from now, if we don't look out 65 00:03:41,240 --> 00:03:44,520 Speaker 1: of our house and see everybody walking around with living 66 00:03:44,560 --> 00:03:48,720 Speaker 1: a virtual augmented world, right or I guess it's possible 67 00:03:48,760 --> 00:03:51,080 Speaker 1: that that could also be the title of a rob 68 00:03:51,200 --> 00:03:57,520 Speaker 1: zombie movie to Halloween. There's nothing but augmented Michael Myers everywhere, 69 00:03:57,640 --> 00:04:00,160 Speaker 1: that's true. I just wanted to go ahead and I 70 00:04:00,200 --> 00:04:04,600 Speaker 1: guess foreshadow my future poo pooing. Okay, that's fine, that's fine. 71 00:04:04,960 --> 00:04:07,920 Speaker 1: That's easy to do when you're talking about predictions. But 72 00:04:08,520 --> 00:04:10,880 Speaker 1: I guess we should probably tell everybody what we're talking about. 73 00:04:10,880 --> 00:04:13,360 Speaker 1: It's augmented reality. It's in the title, so you should 74 00:04:13,400 --> 00:04:16,440 Speaker 1: have some heads up. But to give kind of a 75 00:04:16,480 --> 00:04:21,160 Speaker 1: brief definition of augmented reality, augmented reality, I'm gonna say 76 00:04:21,160 --> 00:04:25,440 Speaker 1: it a fourth time here. Augmented reality is a type 77 00:04:25,440 --> 00:04:31,240 Speaker 1: of technology that adds like a digital layer, computer generated 78 00:04:31,320 --> 00:04:37,360 Speaker 1: layer of UM augmentation to real life. And it can 79 00:04:37,360 --> 00:04:41,000 Speaker 1: be really actually any kind of sensory input. Typically it's 80 00:04:41,040 --> 00:04:44,520 Speaker 1: something visual, but it could also be haptic feedback, so 81 00:04:44,680 --> 00:04:49,440 Speaker 1: tactile like touch. It can be UM sound. You can 82 00:04:49,440 --> 00:04:51,560 Speaker 1: be walking through a certain place that will trigger like 83 00:04:51,600 --> 00:04:56,440 Speaker 1: a sound. Eventually it might be smells um warmth. Who 84 00:04:56,440 --> 00:04:58,440 Speaker 1: knows what we'll be able to do, But right now 85 00:04:58,480 --> 00:05:02,159 Speaker 1: most people are typically talking about visual stuff. Yeah, well, 86 00:05:02,160 --> 00:05:07,360 Speaker 1: they could combine the I smell with VR or a R. 87 00:05:07,920 --> 00:05:10,040 Speaker 1: I love that idea, man, I think the I smell 88 00:05:10,120 --> 00:05:11,600 Speaker 1: was just ahead of its time, not that it was 89 00:05:11,640 --> 00:05:13,919 Speaker 1: a bad idea. They've already gotten music. They've had that 90 00:05:14,000 --> 00:05:19,159 Speaker 1: since the Walkman. Sure, I guess it's a it's primitive 91 00:05:19,240 --> 00:05:20,880 Speaker 1: a R SHT. So I don't know that I would 92 00:05:20,920 --> 00:05:23,120 Speaker 1: call a sound a R except for the fact that 93 00:05:23,160 --> 00:05:26,960 Speaker 1: maybe you could look at something and it's triggered, right, 94 00:05:27,960 --> 00:05:32,560 Speaker 1: but it's all there. It's already two. Have us leave 95 00:05:32,600 --> 00:05:36,279 Speaker 1: our material world on a daily basis and go somewhere 96 00:05:36,320 --> 00:05:40,120 Speaker 1: else entirely Well, that technically is virtual reality, where you're 97 00:05:40,160 --> 00:05:46,480 Speaker 1: plunged into an entirely alternative version of reality. Augmented reality 98 00:05:46,560 --> 00:05:49,480 Speaker 1: is it's real, it's our normal reality, but there's there's 99 00:05:49,520 --> 00:05:53,159 Speaker 1: an extra little touch to it that's digitized. Yeah, but 100 00:05:53,440 --> 00:05:56,160 Speaker 1: the videos that I've seen, there was so much going on. 101 00:05:57,400 --> 00:06:00,840 Speaker 1: In my opinion, you are leaving the real world. Atcha catch. 102 00:06:01,160 --> 00:06:03,880 Speaker 1: I'm not saying you're transported to you know, Venus or anything. 103 00:06:04,839 --> 00:06:07,080 Speaker 1: But when you're sitting in a room and there are 104 00:06:07,160 --> 00:06:10,200 Speaker 1: screens all in front of your face and the couches. 105 00:06:10,839 --> 00:06:12,600 Speaker 1: You know, you can change your couch to a different 106 00:06:12,640 --> 00:06:18,479 Speaker 1: fabric virtually, Like, I don't consider that the real world. Okay, 107 00:06:18,720 --> 00:06:21,480 Speaker 1: I I think that you might be in the minority. 108 00:06:21,520 --> 00:06:24,080 Speaker 1: But okay, oh, I think we'll see in five years 109 00:06:24,080 --> 00:06:27,920 Speaker 1: that I'm not. Okay. So if you if you kind 110 00:06:27,920 --> 00:06:30,039 Speaker 1: of are like, well, I still don't I don't quite 111 00:06:30,040 --> 00:06:33,000 Speaker 1: get it. What we're talking about is Pokemon Go. Basically, yeah, 112 00:06:33,839 --> 00:06:36,839 Speaker 1: so Pokemon Go in two thousand and sixteen, it was 113 00:06:37,120 --> 00:06:40,200 Speaker 1: an enormous hit. It's this game where you walk around 114 00:06:40,240 --> 00:06:42,960 Speaker 1: and you basically play Pokemon in the real world. You 115 00:06:43,000 --> 00:06:46,240 Speaker 1: go visit with Pokemon creatures and try to capture them, 116 00:06:46,240 --> 00:06:49,800 Speaker 1: and um, like your score is as is shown on 117 00:06:50,040 --> 00:06:52,680 Speaker 1: the screen of your phone and you're using your camera 118 00:06:53,120 --> 00:06:56,160 Speaker 1: and it's adding that digitized Pokemon layer to the real 119 00:06:56,200 --> 00:06:59,960 Speaker 1: world you're seeing through your camera screen. And it was huge. 120 00:07:00,040 --> 00:07:03,840 Speaker 1: Apparently it just past the three billion dollar mark, which 121 00:07:03,920 --> 00:07:07,719 Speaker 1: is pretty pretty substantial profit made for a game that's 122 00:07:07,800 --> 00:07:10,520 Speaker 1: actually free. It's a free game, but there's a lot 123 00:07:10,560 --> 00:07:13,920 Speaker 1: of in app purchases and they've made three billion dollars 124 00:07:14,000 --> 00:07:16,240 Speaker 1: off of that so far. So there's a huge appetite 125 00:07:16,240 --> 00:07:20,640 Speaker 1: for augmented reality that Pokemon Go showed everyone. Oh for sure. 126 00:07:20,800 --> 00:07:26,080 Speaker 1: I think there are plenty of applications for augmented reality 127 00:07:26,120 --> 00:07:28,680 Speaker 1: in the future, right and so, UM, we kind of 128 00:07:28,720 --> 00:07:30,680 Speaker 1: got into it a little bit. The difference between virtual 129 00:07:30,720 --> 00:07:33,280 Speaker 1: reality and augmented reality. Have seen it put really well 130 00:07:33,400 --> 00:07:38,200 Speaker 1: in that virtual reality takes the user anywhere and augmented 131 00:07:38,240 --> 00:07:43,120 Speaker 1: reality brings everything to the user. Um. I think that's 132 00:07:43,120 --> 00:07:46,520 Speaker 1: a great description. But the idea is in in VR, 133 00:07:46,640 --> 00:07:50,080 Speaker 1: you're transported to a different world. In augmented reality, your 134 00:07:50,120 --> 00:07:53,760 Speaker 1: world is has that digitized layer added to it. And 135 00:07:53,800 --> 00:07:56,920 Speaker 1: then there's also something called mixed reality, which if you 136 00:07:56,960 --> 00:07:58,960 Speaker 1: read about it, that to me is that's the future 137 00:07:58,960 --> 00:08:02,160 Speaker 1: of augmented reality. Yeah. I wasn't quite sure the exact 138 00:08:02,240 --> 00:08:06,480 Speaker 1: difference here. It seems like very fine lines definition wise, 139 00:08:07,160 --> 00:08:09,920 Speaker 1: it is because augmented reality and mixed reality are virtually 140 00:08:09,960 --> 00:08:12,120 Speaker 1: the same thing as just mixed reality is kind of 141 00:08:12,160 --> 00:08:16,960 Speaker 1: like the um more sophisticated version of augmented reality. But 142 00:08:17,040 --> 00:08:19,720 Speaker 1: a good example that kind of distinguishes the two that 143 00:08:19,760 --> 00:08:22,960 Speaker 1: I've seen is, um, let's say that you are you 144 00:08:22,960 --> 00:08:27,320 Speaker 1: have your augmented reality phone going and you you hold 145 00:08:27,320 --> 00:08:30,400 Speaker 1: a soup can up in front of it. Well, your 146 00:08:30,720 --> 00:08:33,760 Speaker 1: your app says, oh, it's the soup. You know it's 147 00:08:33,840 --> 00:08:39,160 Speaker 1: it's Campbell's low sodium Tomato soup. Obviously, user friend who's 148 00:08:39,240 --> 00:08:41,040 Speaker 1: holding the phone up to the soup can wants to 149 00:08:41,040 --> 00:08:44,080 Speaker 1: know more about this soup, and it triggers like some 150 00:08:44,280 --> 00:08:47,760 Speaker 1: nutrition facts that aren't found on the label, or maybe 151 00:08:47,800 --> 00:08:50,480 Speaker 1: a recipe or something like that. And when you're looking 152 00:08:50,520 --> 00:08:54,560 Speaker 1: at this soup can through your phone, the additional layer 153 00:08:54,600 --> 00:08:58,480 Speaker 1: of information that's digitized over it that makes it augmented reality, 154 00:08:58,800 --> 00:09:01,319 Speaker 1: it doesn't look like it's on the soup can. It's 155 00:09:01,360 --> 00:09:03,160 Speaker 1: just like a little it's like you're looking at your 156 00:09:03,160 --> 00:09:05,360 Speaker 1: computer screen but it's in front of your face. Yeah, 157 00:09:05,400 --> 00:09:09,840 Speaker 1: it's kind of yes, but not nearly sophisticated. That's a 158 00:09:09,880 --> 00:09:11,720 Speaker 1: different thing that we'll get into later. But it's just 159 00:09:11,800 --> 00:09:14,280 Speaker 1: kind of like this layer of information that's just floating 160 00:09:14,280 --> 00:09:18,719 Speaker 1: in space over there. Mixed reality is far more sophisticated, 161 00:09:18,960 --> 00:09:23,120 Speaker 1: where if you um held your hand up in front 162 00:09:23,160 --> 00:09:27,840 Speaker 1: of in between the soup can and your phone, your 163 00:09:28,000 --> 00:09:30,960 Speaker 1: your hand would would what's called acclude it would cover 164 00:09:31,120 --> 00:09:34,480 Speaker 1: up that information. That's a big thing and it's really 165 00:09:34,520 --> 00:09:37,760 Speaker 1: really hard to do, but it makes the the stuff, 166 00:09:37,800 --> 00:09:41,640 Speaker 1: that digitized layer of augmented reality interact with reality that 167 00:09:41,760 --> 00:09:44,400 Speaker 1: much more so it could wrap around the soup can. 168 00:09:44,640 --> 00:09:46,760 Speaker 1: It could be covered up by something that comes in 169 00:09:46,800 --> 00:09:50,760 Speaker 1: between you and it. Um, that's mixed reality, and that's 170 00:09:50,800 --> 00:09:55,960 Speaker 1: really ultimately what augmented reality will be in the future. Uh, 171 00:09:56,160 --> 00:10:00,880 Speaker 1: we'll see. I'm starting to suspect have a real opinion 172 00:10:00,920 --> 00:10:04,000 Speaker 1: about this now. Again, I think there are totally people 173 00:10:04,040 --> 00:10:06,559 Speaker 1: the same people that loved Google Glass, which we'll get 174 00:10:06,559 --> 00:10:09,520 Speaker 1: too later. Uh, Whereas at the time, I was like, 175 00:10:09,800 --> 00:10:12,400 Speaker 1: this is not gonna work. I'm gonna I think you're wrong. 176 00:10:12,400 --> 00:10:17,680 Speaker 1: I'm gonna argue against your argument later on. So, UM, 177 00:10:17,800 --> 00:10:20,360 Speaker 1: we can explain a little bit about how this works. 178 00:10:20,400 --> 00:10:25,760 Speaker 1: It is. We are not tech experts, and we're not 179 00:10:25,760 --> 00:10:30,240 Speaker 1: gonna go bother Jonathan Strickland right now, no, or bother ourselves, frankly, 180 00:10:30,840 --> 00:10:33,080 Speaker 1: but we can give you sort of a brief the 181 00:10:33,080 --> 00:10:36,880 Speaker 1: briefest layman's overview of how this stuff works. Uh, there's 182 00:10:37,679 --> 00:10:41,560 Speaker 1: a field of um, I mean, there's a lot of 183 00:10:41,559 --> 00:10:45,640 Speaker 1: disciplines in it called computer vision, that's really super complicated, 184 00:10:46,080 --> 00:10:48,360 Speaker 1: but for our purposes, I guess we can just say 185 00:10:48,400 --> 00:10:54,600 Speaker 1: that computer vision basically, uh understands what's going on in 186 00:10:54,640 --> 00:11:00,400 Speaker 1: the world around whoever is using the augmented reality. And 187 00:11:01,360 --> 00:11:04,000 Speaker 1: they do this by you know, there's there's got to 188 00:11:04,040 --> 00:11:06,480 Speaker 1: be an interaction, and we'll talk about the wearables and 189 00:11:06,520 --> 00:11:11,200 Speaker 1: the headsets and stuff as opposed to smartphones. But what 190 00:11:11,280 --> 00:11:13,559 Speaker 1: they use is something called a time of flight sensor, 191 00:11:14,160 --> 00:11:17,719 Speaker 1: which is sort of works like a bat's use echolocation, 192 00:11:17,840 --> 00:11:22,280 Speaker 1: except it's not echolocation. It's infrared light. So they bounced 193 00:11:22,360 --> 00:11:24,480 Speaker 1: this light and if you look at these things, it 194 00:11:24,480 --> 00:11:28,200 Speaker 1: looks like a almost like a little go pro camera 195 00:11:28,280 --> 00:11:32,160 Speaker 1: or something like that on your forehead, which sends out 196 00:11:32,160 --> 00:11:35,400 Speaker 1: these pulses of light that are reflected by the objects 197 00:11:35,480 --> 00:11:39,480 Speaker 1: around you, and then it measures the delay of that 198 00:11:39,600 --> 00:11:44,040 Speaker 1: light reflecting back to you to calculate, you know, everything, 199 00:11:44,040 --> 00:11:47,720 Speaker 1: basically the depth of everything around you. Right, And then 200 00:11:48,200 --> 00:11:51,480 Speaker 1: every time it makes this measurement, it also says, I'm 201 00:11:51,480 --> 00:11:56,080 Speaker 1: a dork, that's right, because you're wearing this on your forehead, right. 202 00:11:56,200 --> 00:11:59,960 Speaker 1: And we also see with two eyes, we have binocular vision, 203 00:12:00,040 --> 00:12:03,400 Speaker 1: and so in order to simulate that Uh. They have 204 00:12:03,520 --> 00:12:08,120 Speaker 1: something called stereo cameras that are you know, uh, basically 205 00:12:08,160 --> 00:12:11,560 Speaker 1: placed like your eyeballs are at a fixed distance, and 206 00:12:11,600 --> 00:12:16,439 Speaker 1: then triangulates everything together to work with your two eyeballs, 207 00:12:17,080 --> 00:12:19,000 Speaker 1: right exactly. So if you look at them, if you 208 00:12:19,040 --> 00:12:20,360 Speaker 1: have a new iPhone, if you look at the back, 209 00:12:20,400 --> 00:12:23,679 Speaker 1: you'll see that there's two cameras on the back. Um, 210 00:12:23,760 --> 00:12:27,079 Speaker 1: some cameras. I think hu way highway. I can't remember 211 00:12:27,120 --> 00:12:30,080 Speaker 1: how to pronounce it. They have a phone with three cameras, 212 00:12:30,360 --> 00:12:35,080 Speaker 1: but does it? Okay? Um? But the the the input 213 00:12:35,200 --> 00:12:38,960 Speaker 1: from these cameras are providing slightly different information to the 214 00:12:39,040 --> 00:12:42,400 Speaker 1: onboard brain on your phone, and so it uses this 215 00:12:42,480 --> 00:12:47,800 Speaker 1: different information to triangulate it. Basically, um UM differentiates between 216 00:12:47,800 --> 00:12:50,280 Speaker 1: the information and says, okay, this is how far away 217 00:12:50,280 --> 00:12:52,400 Speaker 1: this this thing is, or this wall is, or this 218 00:12:52,800 --> 00:12:56,480 Speaker 1: you know, walkway goes, and it uses that information to 219 00:12:56,840 --> 00:13:02,640 Speaker 1: create UM the digitized layer that that is augmented reality 220 00:13:02,880 --> 00:13:06,160 Speaker 1: within the space that it realizes it's looking at. It's like, okay, 221 00:13:06,200 --> 00:13:08,600 Speaker 1: this is what I have to work with. Let's get rendering. 222 00:13:08,840 --> 00:13:11,480 Speaker 1: And that's the next step is rendering, which can be 223 00:13:11,520 --> 00:13:16,800 Speaker 1: as simple as UM adding like that layer of text 224 00:13:17,200 --> 00:13:19,360 Speaker 1: in front of you when you hold up that soup can. 225 00:13:19,840 --> 00:13:22,760 Speaker 1: Or it can be far far more sophisticated, like say, 226 00:13:22,880 --> 00:13:25,400 Speaker 1: using a Snapchat filter that makes you look like you're 227 00:13:25,440 --> 00:13:28,640 Speaker 1: wearing a cute little cat mask, but no matter where 228 00:13:28,679 --> 00:13:30,640 Speaker 1: you move your face up and down, or if you 229 00:13:30,679 --> 00:13:34,360 Speaker 1: open your mouth or something like that, it follows it perfectly, 230 00:13:34,520 --> 00:13:37,680 Speaker 1: which would actually technically make the Snapchat filter mixed reality 231 00:13:37,800 --> 00:13:41,760 Speaker 1: rather than augmented reality. Yeah, I don't do the Snapchat thing, 232 00:13:41,760 --> 00:13:44,880 Speaker 1: but you can do that on FaceTime. And I made 233 00:13:44,920 --> 00:13:48,720 Speaker 1: the mistake of doing that facetiming my kid, and now 234 00:13:48,760 --> 00:13:52,680 Speaker 1: that's all she wants to do whenever FaceTime is be 235 00:13:52,840 --> 00:13:56,040 Speaker 1: a monkey or a dinosaur or a lion or a 236 00:13:56,080 --> 00:13:59,280 Speaker 1: lizard or a robot or whatever, or which is kind 237 00:13:59,280 --> 00:14:02,040 Speaker 1: of fun and it is you know, uh, it is 238 00:14:02,040 --> 00:14:05,400 Speaker 1: pretty amazing that on this little phone you can stick 239 00:14:05,440 --> 00:14:08,600 Speaker 1: your tongue out and wrinkle your eyes and and you 240 00:14:08,640 --> 00:14:12,160 Speaker 1: can do that as a kiddiecat or a monkey in 241 00:14:12,200 --> 00:14:14,839 Speaker 1: real time. And so it does all this because of 242 00:14:14,880 --> 00:14:19,760 Speaker 1: all the facial facial recognition UM software aboard your phone, UM, 243 00:14:19,840 --> 00:14:22,120 Speaker 1: the gyroscope you know where you're like, who who needs 244 00:14:22,160 --> 00:14:23,920 Speaker 1: a compass? So I'm not gonna walk around in the 245 00:14:23,960 --> 00:14:27,480 Speaker 1: woods with this thing all the time. Actually, do you really? Yeah? 246 00:14:27,520 --> 00:14:29,440 Speaker 1: I mean I've got in the woods, but you know me, 247 00:14:29,480 --> 00:14:32,280 Speaker 1: I have a terrible sense of direction. So if I'm 248 00:14:32,320 --> 00:14:34,120 Speaker 1: in New York or wherever and I'm like, I need 249 00:14:34,160 --> 00:14:36,200 Speaker 1: to go north, then it's a very simple way to 250 00:14:36,240 --> 00:14:39,560 Speaker 1: find out. Yeah. True, but I'm I've always just used maps, 251 00:14:39,600 --> 00:14:41,280 Speaker 1: and it's really good for maps. That's how it knows 252 00:14:41,320 --> 00:14:44,040 Speaker 1: which way you're facing is that gyroscope and GPS coordinates. 253 00:14:44,080 --> 00:14:47,240 Speaker 1: So it's using all of this stuff, um, along with 254 00:14:47,280 --> 00:14:50,560 Speaker 1: facial recognition to to map and track where you're moving. 255 00:14:50,800 --> 00:14:53,960 Speaker 1: And no matter whether it's rendering the soup can information 256 00:14:54,400 --> 00:14:58,360 Speaker 1: or the snapchat filter, um, it does this. It does 257 00:14:58,400 --> 00:15:01,560 Speaker 1: all these calculations in figures out where what's going on 258 00:15:01,640 --> 00:15:03,680 Speaker 1: in the room and your motion and where your faces 259 00:15:03,760 --> 00:15:05,560 Speaker 1: or where the soup can is all that stuff. It 260 00:15:05,600 --> 00:15:08,520 Speaker 1: doesn't every time the camera sends a frame of info 261 00:15:08,640 --> 00:15:11,440 Speaker 1: to the to the onboard computer on your phone, which 262 00:15:11,560 --> 00:15:16,440 Speaker 1: happens thirty times per second, So these calculations are being adjusted, analyzed, 263 00:15:16,440 --> 00:15:19,200 Speaker 1: and re measured, and then the output is being put 264 00:15:19,200 --> 00:15:23,120 Speaker 1: out thirty times per second, which is pretty impressive. You 265 00:15:23,160 --> 00:15:24,600 Speaker 1: know what. I think you just hit on the key 266 00:15:24,640 --> 00:15:27,600 Speaker 1: difference in our outlook on this what it sounds like 267 00:15:27,640 --> 00:15:31,040 Speaker 1: you are primed for a r because I am someone 268 00:15:31,680 --> 00:15:33,680 Speaker 1: if I'm in New York, let's say, and I will say, 269 00:15:33,880 --> 00:15:36,320 Speaker 1: I will say, uh, all right, I know I need 270 00:15:36,360 --> 00:15:38,960 Speaker 1: to go northeast to get to this place. So I'll 271 00:15:39,000 --> 00:15:41,080 Speaker 1: just chart what northeast is. I'll put the phone in 272 00:15:41,080 --> 00:15:44,480 Speaker 1: my pocket and I'll start walking. Start walk, And I 273 00:15:44,520 --> 00:15:46,800 Speaker 1: think you are more primed to look at your map 274 00:15:46,920 --> 00:15:49,560 Speaker 1: and go along the streets that it's telling you to go. 275 00:15:49,640 --> 00:15:53,240 Speaker 1: On m I listened to the computer, is what you're saying. No, 276 00:15:53,320 --> 00:15:55,800 Speaker 1: not necessarily, but like the I think those are two 277 00:15:55,800 --> 00:15:59,360 Speaker 1: distinct differences of like kinds of people and how they 278 00:15:59,360 --> 00:16:02,720 Speaker 1: interact with technology in the world around them. Whereas I 279 00:16:02,760 --> 00:16:04,720 Speaker 1: just want to know I'm going northeast and that's correct. 280 00:16:05,480 --> 00:16:08,360 Speaker 1: A lot of people are wanted to look at that 281 00:16:08,400 --> 00:16:11,280 Speaker 1: map the whole way, and now they're going, like on 282 00:16:11,320 --> 00:16:13,840 Speaker 1: the exact right street to get them there. I guess 283 00:16:13,880 --> 00:16:17,280 Speaker 1: the quickest right, Which one do you think is correct? 284 00:16:18,440 --> 00:16:21,200 Speaker 1: I don't know. I mean I like to meander. Yeah, 285 00:16:21,200 --> 00:16:23,000 Speaker 1: I like me and doing too. I'm with you too, 286 00:16:23,040 --> 00:16:26,040 Speaker 1: for sure, But I also use ways like everywhere I 287 00:16:26,120 --> 00:16:29,400 Speaker 1: drive to I've never used it. It's really helpful, but 288 00:16:29,480 --> 00:16:31,400 Speaker 1: I don't I don't just sit like. I don't sit 289 00:16:31,400 --> 00:16:33,560 Speaker 1: there and like follow the ways app or anything like 290 00:16:33,600 --> 00:16:35,800 Speaker 1: I'm looking out the windows. So I would say I'm 291 00:16:35,840 --> 00:16:40,160 Speaker 1: somewhere between between you and like a Pokemon Go player. Well, 292 00:16:40,200 --> 00:16:43,960 Speaker 1: I drive Emily crazy because I am quite comfortable get 293 00:16:44,000 --> 00:16:46,760 Speaker 1: it unless I'm in a hurry, not getting someplace as 294 00:16:46,800 --> 00:16:49,640 Speaker 1: quickly as possible, and she's always like, where are you going. 295 00:16:49,920 --> 00:16:53,400 Speaker 1: I'm like, we'll get there eventually. I like that too. 296 00:16:53,520 --> 00:16:55,640 Speaker 1: I like that too, So don't mistake me. I'm somewhere 297 00:16:55,680 --> 00:16:57,320 Speaker 1: in the middle. But yes, I feel like I'm a 298 00:16:57,360 --> 00:17:03,080 Speaker 1: little more um into yeah or um exploited by tech 299 00:17:03,120 --> 00:17:06,600 Speaker 1: than you are. So where did we leave off here? Um? 300 00:17:06,680 --> 00:17:09,160 Speaker 1: With the two types of augmented reality? Yeah? Did we would? 301 00:17:09,160 --> 00:17:11,920 Speaker 1: Did you say those? No, we haven't talked about because 302 00:17:11,960 --> 00:17:15,080 Speaker 1: I was just about to talk about marker and marker less. Yeah, 303 00:17:15,119 --> 00:17:18,080 Speaker 1: those are the two broad categories. Yeah, and these, I mean, 304 00:17:18,119 --> 00:17:20,320 Speaker 1: it's very simple and it makes a lot of sense. Uh. 305 00:17:20,520 --> 00:17:23,840 Speaker 1: Marker based is basically if something is sort of pre 306 00:17:23,920 --> 00:17:27,560 Speaker 1: programmed and loaded into your program or your app or 307 00:17:27,600 --> 00:17:30,680 Speaker 1: your phone, and it knows you know, once you look 308 00:17:30,760 --> 00:17:33,960 Speaker 1: up at that thing, like the New York Public Library. 309 00:17:34,000 --> 00:17:36,520 Speaker 1: If you're let's say you have an app about New 310 00:17:36,600 --> 00:17:38,840 Speaker 1: York history. I keep picking on New York here because 311 00:17:38,880 --> 00:17:41,239 Speaker 1: it's easy. Well we were just there too. Yeah, that's right. 312 00:17:42,280 --> 00:17:45,320 Speaker 1: So it would have something preloaded about the New York 313 00:17:45,359 --> 00:17:48,480 Speaker 1: Public Library that will pop up in front of your face. Right, 314 00:17:48,640 --> 00:17:52,320 Speaker 1: it recognizes the library goes oh, oh, I know that thing, yeah, exactly, 315 00:17:52,480 --> 00:17:55,480 Speaker 1: and it's it's out there information. It's a marker, yeah, 316 00:17:55,600 --> 00:17:58,840 Speaker 1: or you know, could be a QR code, um market 317 00:17:58,880 --> 00:18:01,280 Speaker 1: loop can don't forget soup can chuck. Got to know 318 00:18:01,359 --> 00:18:07,480 Speaker 1: those sup recipes, right, it's add water. I don't even 319 00:18:07,480 --> 00:18:09,840 Speaker 1: add water. I think you're a chump if you add 320 00:18:09,840 --> 00:18:13,159 Speaker 1: water to condensed soup, because it's condensed to perfection. If 321 00:18:13,200 --> 00:18:17,240 Speaker 1: you ask me, do you just do the straight up? Yeah, 322 00:18:17,320 --> 00:18:19,479 Speaker 1: I'd like it to not run off the spoon when 323 00:18:19,520 --> 00:18:22,359 Speaker 1: you hold the spoon upside down. Wow, all right, It 324 00:18:22,440 --> 00:18:25,359 Speaker 1: depends on the soup. Actually, I'm I'm kidding, but I 325 00:18:26,040 --> 00:18:28,640 Speaker 1: have eaten soup that I have not added water too. 326 00:18:28,800 --> 00:18:30,639 Speaker 1: I would use a little less water like in a 327 00:18:31,200 --> 00:18:34,399 Speaker 1: let's say Campbell's chicken noodle. Sometimes you can get a 328 00:18:34,400 --> 00:18:37,720 Speaker 1: little watery, so I'll use like three quarters of a can. Maybe. Hey, 329 00:18:37,760 --> 00:18:40,240 Speaker 1: I've got one for you. Have you ever had Progresso's 330 00:18:41,200 --> 00:18:44,400 Speaker 1: I don't remember. It's like supposedly they're like healthier version 331 00:18:44,480 --> 00:18:49,040 Speaker 1: or whatever, but they have a creamy chicken noodle. It's amazing. 332 00:18:49,760 --> 00:18:51,560 Speaker 1: U me got it, And I just happened to be like, 333 00:18:51,600 --> 00:18:53,959 Speaker 1: what's in the pantry. I'll open this and I ate it, 334 00:18:54,040 --> 00:18:57,199 Speaker 1: and I like it so much that I would have 335 00:18:57,240 --> 00:19:01,240 Speaker 1: felt bad not mentioning it. Since we're talking about soup, Yeah, 336 00:19:01,520 --> 00:19:04,280 Speaker 1: I'm a fan of can soup, of having that around. Yeah, 337 00:19:04,359 --> 00:19:06,320 Speaker 1: it is that time of year. Two it is. It's 338 00:19:06,359 --> 00:19:08,840 Speaker 1: can soup time of year. Everyone. No one ever eats 339 00:19:09,400 --> 00:19:12,119 Speaker 1: can gaspacho in the summer. Can soup is like a 340 00:19:12,160 --> 00:19:14,959 Speaker 1: fall winter kind of thing. This episode brought to you 341 00:19:15,040 --> 00:19:20,440 Speaker 1: by Progresso. It's that time of year everyone. I wish 342 00:19:20,440 --> 00:19:23,000 Speaker 1: it were that easy. Uh? Where were we? Marker lists 343 00:19:23,440 --> 00:19:26,600 Speaker 1: is a little bit different and a little bit trickier. Uh. 344 00:19:26,840 --> 00:19:29,359 Speaker 1: It basically means there are no markers, so your device 345 00:19:29,400 --> 00:19:33,720 Speaker 1: actually has actually recognize things and be smart enough to 346 00:19:33,800 --> 00:19:37,280 Speaker 1: say that's a soup can. Uh. And it's not pre 347 00:19:37,359 --> 00:19:39,400 Speaker 1: programmed in but I know what a soup can looks like. 348 00:19:39,960 --> 00:19:43,760 Speaker 1: So here's what you do. Add water, right exactly. So 349 00:19:43,920 --> 00:19:47,360 Speaker 1: um that Pokemon Go apparently did that. For example, when 350 00:19:47,359 --> 00:19:50,120 Speaker 1: you were walking by a river, it would say, oh, 351 00:19:50,160 --> 00:19:53,480 Speaker 1: I recognize a river. I recognize this bit of land 352 00:19:53,560 --> 00:19:56,440 Speaker 1: or something like that. And it doesn't have actual markers 353 00:19:56,440 --> 00:19:59,679 Speaker 1: that are pre programmed. It's just smart enough to know 354 00:20:00,440 --> 00:20:02,920 Speaker 1: a river when it sees a river, and it will 355 00:20:02,960 --> 00:20:06,520 Speaker 1: show you like a water loving pokemon like gyro dose 356 00:20:06,640 --> 00:20:10,080 Speaker 1: or something like that. Oh boy, all right, let's take 357 00:20:10,119 --> 00:20:14,680 Speaker 1: a break. I'm gonna forget that ever happened. We'll talk 358 00:20:14,680 --> 00:20:26,800 Speaker 1: about the history right after this. Stuff you should know, gosh, 359 00:20:22,600 --> 00:20:42,240 Speaker 1: stuff you should know. So this is brand new, right, Yes, 360 00:20:43,920 --> 00:20:46,879 Speaker 1: no one has ever done anything with augmented reality until 361 00:20:47,440 --> 00:20:50,359 Speaker 1: Pokemon Go in two thousand six. I thought it was 362 00:20:50,400 --> 00:20:54,159 Speaker 1: interesting though that the very common thing that people might 363 00:20:54,200 --> 00:20:58,679 Speaker 1: not think about football fans is that that first down line. Uh. 364 00:20:58,760 --> 00:21:01,520 Speaker 1: And now they have all kinds of off like yards 365 00:21:01,560 --> 00:21:04,400 Speaker 1: to go to make a kick maybe and stuff like that, 366 00:21:04,480 --> 00:21:06,959 Speaker 1: but their overlays And we talked about that on some 367 00:21:07,000 --> 00:21:10,080 Speaker 1: other show some other episode. I can't remember. I couldn't 368 00:21:10,080 --> 00:21:12,440 Speaker 1: remember which one it was either, but we've definitely talked 369 00:21:12,440 --> 00:21:16,040 Speaker 1: about it. Yeah, but those screen overlays and from is 370 00:21:16,040 --> 00:21:20,359 Speaker 1: when they debuted sports vision, the glowing line that is 371 00:21:20,520 --> 00:21:24,480 Speaker 1: augmented reality. It is the kind I can get down with. Right, Well, 372 00:21:24,520 --> 00:21:29,520 Speaker 1: that's the so that works because you can only see 373 00:21:29,560 --> 00:21:32,920 Speaker 1: it from one point of view, right, So it really 374 00:21:32,920 --> 00:21:35,880 Speaker 1: works on TV because you can only see from one 375 00:21:35,880 --> 00:21:37,600 Speaker 1: point of view, which is the camera's point of view 376 00:21:37,640 --> 00:21:40,239 Speaker 1: when you're watching TV. Works really well, and you can 377 00:21:40,280 --> 00:21:44,760 Speaker 1: overlay all sorts of cool stuff. But um, what differentiates 378 00:21:44,840 --> 00:21:48,040 Speaker 1: that from the augmented reality that's coming around today is 379 00:21:48,080 --> 00:21:51,360 Speaker 1: that in the in the stands or whatever, maybe they 380 00:21:51,400 --> 00:21:53,600 Speaker 1: could project it so you know, you could see it 381 00:21:53,640 --> 00:21:57,520 Speaker 1: from one angle. Um, in the future, meaning like six 382 00:21:57,560 --> 00:22:00,080 Speaker 1: months from now, everybody will be sitting around in a 383 00:22:00,080 --> 00:22:02,240 Speaker 1: a football stadium and they will be able to see 384 00:22:02,240 --> 00:22:05,159 Speaker 1: the first down line from whatever their vantage point or 385 00:22:05,200 --> 00:22:09,760 Speaker 1: point of view is by looking through their phone, yeah, 386 00:22:10,160 --> 00:22:13,560 Speaker 1: their headset. Eventually, I'll bet if there's not an app 387 00:22:13,600 --> 00:22:15,440 Speaker 1: out that you can do that with your phone yet, 388 00:22:15,520 --> 00:22:19,560 Speaker 1: I'm it's coming, yeah, very soon, I'm sure. I'm surprised 389 00:22:19,560 --> 00:22:22,760 Speaker 1: they haven't overlaid ads on the field and stuff. I'm 390 00:22:22,800 --> 00:22:25,439 Speaker 1: surprised by that too, which will probably push things forward 391 00:22:25,480 --> 00:22:30,760 Speaker 1: as well. Advertising. So, um, that was the first down 392 00:22:30,840 --> 00:22:32,879 Speaker 1: line came out, but it goes back way further than that. 393 00:22:32,920 --> 00:22:36,400 Speaker 1: As a matter of fact, thirty years before that, there's 394 00:22:36,440 --> 00:22:39,840 Speaker 1: a guy named Ivan Sutherland who is a computer scientist, 395 00:22:40,440 --> 00:22:43,359 Speaker 1: and he came up with a headset that you wore. 396 00:22:43,640 --> 00:22:47,920 Speaker 1: Um that looks a lot like a scary, clunky, old 397 00:22:47,960 --> 00:22:51,159 Speaker 1: turn of the century version of a VR headset, but 398 00:22:51,280 --> 00:22:54,520 Speaker 1: it drops you into these like wire frame rooms, wire 399 00:22:54,600 --> 00:22:58,120 Speaker 1: frame like you know, line drawn computer generated line drawn 400 00:22:58,200 --> 00:23:01,520 Speaker 1: like troni ish kind of rooms. I was gonna say 401 00:23:01,560 --> 00:23:04,880 Speaker 1: battle zone, but sure, Um, I don't know what that is. No, 402 00:23:05,240 --> 00:23:08,440 Speaker 1: it was it was another arcade game where you put 403 00:23:08,480 --> 00:23:12,920 Speaker 1: your face into a into a sort of a headset. 404 00:23:13,359 --> 00:23:16,399 Speaker 1: Oh yeah. Was it like a battleship. Yeah, they were 405 00:23:16,440 --> 00:23:18,600 Speaker 1: like tanks and things, but it was green wire frame. 406 00:23:18,680 --> 00:23:21,480 Speaker 1: It was sort of three D look in and uh 407 00:23:21,560 --> 00:23:25,520 Speaker 1: you controlled that your tank with two two controllers like 408 00:23:25,640 --> 00:23:29,400 Speaker 1: shifting controllers. I got you. I'm thinking of the one 409 00:23:29,600 --> 00:23:31,960 Speaker 1: where it was like you're looking through a periscope and 410 00:23:31,960 --> 00:23:36,080 Speaker 1: you had to like torpedo UM ships. So like you're 411 00:23:36,119 --> 00:23:39,720 Speaker 1: like you're the joystick. Were two handles coming off of 412 00:23:39,760 --> 00:23:42,639 Speaker 1: like the periscope face plate that you were putting your 413 00:23:42,640 --> 00:23:44,639 Speaker 1: face up too. Do you remember that one? I do? 414 00:23:44,960 --> 00:23:47,399 Speaker 1: What was that one? I don't remember. It was probably 415 00:23:47,440 --> 00:23:51,040 Speaker 1: just called periscope or something stupid like that sub submarine bomb. 416 00:23:51,680 --> 00:23:55,119 Speaker 1: Maybe I don't think you said what year it was 417 00:23:55,160 --> 00:23:57,280 Speaker 1: for I've been settled on though, that was the summer 418 00:23:57,320 --> 00:24:01,720 Speaker 1: of love, my friends eight. I thought sixty nine was 419 00:24:01,760 --> 00:24:06,600 Speaker 1: a summer of love. I mean, no, I really wasn't. 420 00:24:06,640 --> 00:24:10,040 Speaker 1: But now I'm blessing that didn't mean that at all. 421 00:24:10,240 --> 00:24:12,600 Speaker 1: This is what I'm saying, Like these things just kinda 422 00:24:13,240 --> 00:24:16,679 Speaker 1: happened to me. I'm a victim. I think sixty eight 423 00:24:16,720 --> 00:24:18,600 Speaker 1: was a summer of love. I might be wrong. Well 424 00:24:18,680 --> 00:24:23,000 Speaker 1: let's just say both were. Okay, sixty nine was put 425 00:24:23,080 --> 00:24:29,760 Speaker 1: post coital right or pre wow? Uh. So there was 426 00:24:29,840 --> 00:24:35,959 Speaker 1: another UM researcher in four named Myron Krueger at Yukon. 427 00:24:37,080 --> 00:24:41,639 Speaker 1: It sounds like a Halloween villain, and he sounds like 428 00:24:41,680 --> 00:24:45,160 Speaker 1: a seventies computer researcher if I've ever heard Iron Krueger. Yeah, 429 00:24:45,200 --> 00:24:48,960 Speaker 1: that's true. The Krugs. He uh invented something called video Place, 430 00:24:49,600 --> 00:24:51,359 Speaker 1: which if you look up, is kind of fun to 431 00:24:51,400 --> 00:24:55,000 Speaker 1: look at. Two. It was interactive, and just think of 432 00:24:55,040 --> 00:25:00,640 Speaker 1: the most rudimentary VR you could think of, UM, which 433 00:25:00,680 --> 00:25:03,600 Speaker 1: is like someone going up to like a a nineteen 434 00:25:03,680 --> 00:25:07,240 Speaker 1: seventies Apple computer, if there was such a thing, and 435 00:25:07,280 --> 00:25:10,480 Speaker 1: being able to touch the screen to make something happen. 436 00:25:10,720 --> 00:25:15,359 Speaker 1: Very very rudimentary, very rudimentary. But for the seventies in particular, 437 00:25:15,440 --> 00:25:17,560 Speaker 1: this was like really ahead of its time, and like 438 00:25:18,000 --> 00:25:21,320 Speaker 1: you know, UM, I'vean Sutherland and Myron Kruger. They were 439 00:25:21,359 --> 00:25:25,320 Speaker 1: both working in in computer science labs just generating like 440 00:25:25,440 --> 00:25:28,320 Speaker 1: proof of concept, the fact that this was even possible, 441 00:25:28,359 --> 00:25:31,440 Speaker 1: and here's a here's a possible path forward to this 442 00:25:32,119 --> 00:25:35,240 Speaker 1: UM And then that's kind of how things like augmented 443 00:25:35,280 --> 00:25:38,320 Speaker 1: reality get pushed forward as there's people who figure out 444 00:25:38,480 --> 00:25:41,520 Speaker 1: how to do it in the clunkiest, most primitive way possible, 445 00:25:41,840 --> 00:25:45,520 Speaker 1: and then over time other researchers and other students come 446 00:25:45,560 --> 00:25:47,440 Speaker 1: along and they figure out how to shrink it down. 447 00:25:47,840 --> 00:25:49,639 Speaker 1: And then the next thing, you know, you have a 448 00:25:49,640 --> 00:25:53,200 Speaker 1: smartphone that's capable of doing this kind of thing. And 449 00:25:53,240 --> 00:25:57,040 Speaker 1: that's really where VR just took an enormous leap forward. 450 00:25:57,560 --> 00:26:00,320 Speaker 1: Was when the first smartphone started to come out, Because 451 00:26:00,320 --> 00:26:02,800 Speaker 1: if it weren't for smartphones, we would still be pressing 452 00:26:02,880 --> 00:26:06,320 Speaker 1: like bed sheets at video place, you know what I mean. 453 00:26:06,560 --> 00:26:10,280 Speaker 1: But the fact that smartphones were able to carry the 454 00:26:10,359 --> 00:26:13,639 Speaker 1: hardware needed, like things like onboard cameras and gyroscopes and 455 00:26:13,640 --> 00:26:16,600 Speaker 1: GPS coordinates and connections to the Internet. The fact that 456 00:26:16,640 --> 00:26:18,720 Speaker 1: all this was suddenly in the palm of people's hands. 457 00:26:19,200 --> 00:26:22,359 Speaker 1: People said, well, we should start doing things with with this. Yeah, 458 00:26:22,400 --> 00:26:25,080 Speaker 1: And I'm not knocking those those early pioneers, Like I 459 00:26:25,080 --> 00:26:28,400 Speaker 1: think that's the coolest part about any anything like this 460 00:26:28,520 --> 00:26:31,480 Speaker 1: is the people that were brave enough to say, like, hey, 461 00:26:31,480 --> 00:26:35,479 Speaker 1: put this microwave on your head, and this is the future. 462 00:26:35,960 --> 00:26:39,560 Speaker 1: You know. Um, if you want to talk about an 463 00:26:39,560 --> 00:26:43,200 Speaker 1: adorable presentation, you could go back to February two nine 464 00:26:43,720 --> 00:26:48,080 Speaker 1: and look at the Ted talk on six cents. It's 465 00:26:48,119 --> 00:26:51,560 Speaker 1: really great because things were smaller, but they still didn't 466 00:26:51,560 --> 00:26:54,480 Speaker 1: know how to like bring it all together in one 467 00:26:54,920 --> 00:26:58,080 Speaker 1: uh small like thing. They had to cobble a bunch 468 00:26:58,080 --> 00:27:00,960 Speaker 1: of stuff together. So they had a camera that you 469 00:27:01,000 --> 00:27:05,120 Speaker 1: wore around your neck like chest height. You had a smartphone, 470 00:27:05,520 --> 00:27:09,640 Speaker 1: You had a mirror. You had initially a projector strapped 471 00:27:09,680 --> 00:27:13,000 Speaker 1: to a helmet that you wore on your head, dork, 472 00:27:13,640 --> 00:27:17,720 Speaker 1: and it was all strung together, and you wore these 473 00:27:17,760 --> 00:27:20,880 Speaker 1: little colored caps on your fingers, uh, to be able 474 00:27:20,920 --> 00:27:23,680 Speaker 1: to interact with the thing that the projector on your 475 00:27:23,720 --> 00:27:26,680 Speaker 1: head was emitting. They do. They work for that. They 476 00:27:26,720 --> 00:27:28,840 Speaker 1: also work really well to keep your fingers clean when 477 00:27:28,880 --> 00:27:32,639 Speaker 1: you're eating buffalo wings. I used to work with a 478 00:27:32,680 --> 00:27:35,199 Speaker 1: commercial director named Tom Schiller, who was one of my 479 00:27:35,240 --> 00:27:38,399 Speaker 1: idols because he was an early writer for Saturday Night 480 00:27:38,480 --> 00:27:40,560 Speaker 1: Live and did all those old black and white SNL 481 00:27:40,680 --> 00:27:43,640 Speaker 1: things with Blushi and Chiller was great and he kind 482 00:27:43,640 --> 00:27:45,159 Speaker 1: of took me under his wing, and I want to 483 00:27:45,160 --> 00:27:46,720 Speaker 1: get in touch with the guy again. But he wore 484 00:27:47,359 --> 00:27:49,840 Speaker 1: just as a gag. He would walk around on set 485 00:27:49,920 --> 00:27:54,120 Speaker 1: and eat Cheetos with a surgical glove. Oh nice, nice, 486 00:27:54,280 --> 00:27:55,680 Speaker 1: And he told me one day. I was like, man, 487 00:27:55,680 --> 00:27:57,880 Speaker 1: that's so funny, and he went, I don't even like Cheetos. 488 00:27:58,040 --> 00:27:59,840 Speaker 1: He's like, I just do it for the gag. It's 489 00:28:00,000 --> 00:28:04,240 Speaker 1: pretty great. Yeah. Um those So they make surgical gloves 490 00:28:04,280 --> 00:28:08,159 Speaker 1: that are just fingertip protectors, and you me got me 491 00:28:08,200 --> 00:28:09,560 Speaker 1: some of those. At one time we went out to 492 00:28:09,600 --> 00:28:11,440 Speaker 1: eat with a friend and I was eating buffalo wings 493 00:28:11,480 --> 00:28:15,040 Speaker 1: like that. So yeah, and he like it, didn't say anything, 494 00:28:15,080 --> 00:28:16,560 Speaker 1: didn't make a big deal out of it, and he 495 00:28:16,680 --> 00:28:20,040 Speaker 1: just looked toward just lost it. It was pretty great. 496 00:28:20,119 --> 00:28:22,320 Speaker 1: It was. It was about as good as you can hope. 497 00:28:22,440 --> 00:28:24,800 Speaker 1: I think I've seen those What are those four I 498 00:28:24,880 --> 00:28:27,120 Speaker 1: don't know, man, I don't know, but I can tell 499 00:28:27,119 --> 00:28:30,080 Speaker 1: you they really do work for eating buffalo wings for 500 00:28:30,119 --> 00:28:32,679 Speaker 1: some reason. I remember my grandmother had those when I 501 00:28:32,720 --> 00:28:36,760 Speaker 1: was a kid, and I think it may have been like, uh, 502 00:28:36,800 --> 00:28:40,640 Speaker 1: to protect a cut or something if you're washing dishes, 503 00:28:41,480 --> 00:28:44,040 Speaker 1: or maybe that's what she used him. For sure, I 504 00:28:44,080 --> 00:28:45,840 Speaker 1: think it's one of those things where it's like we're 505 00:28:45,880 --> 00:28:47,960 Speaker 1: just gonna manufacturers and put them out there in the 506 00:28:47,960 --> 00:28:51,520 Speaker 1: world and whatever you're using, whatever you whatever you want. 507 00:28:51,520 --> 00:28:53,120 Speaker 1: Of course, this was the mid seventies. This is pre 508 00:28:53,280 --> 00:29:00,080 Speaker 1: buffalo wing. Okay, I was about to get crazy. I 509 00:29:00,120 --> 00:29:02,400 Speaker 1: just wanted to rile up all the people in Buffalo, 510 00:29:02,480 --> 00:29:05,920 Speaker 1: New York. So, yes, you're wearing these caps on your fingers. 511 00:29:06,640 --> 00:29:08,800 Speaker 1: That is used to to you know, act as your 512 00:29:08,800 --> 00:29:11,520 Speaker 1: go between and manipulate the images that project your on 513 00:29:11,560 --> 00:29:14,560 Speaker 1: your head is showing everywhere, which is kind of cool 514 00:29:14,600 --> 00:29:18,640 Speaker 1: because it's on your head, right, So anything can be 515 00:29:18,680 --> 00:29:21,480 Speaker 1: turned into a surface sure, Like I mean ideally you're 516 00:29:21,520 --> 00:29:25,200 Speaker 1: looking at a white wall, right, or your wrist was 517 00:29:25,240 --> 00:29:27,239 Speaker 1: one that they used, so like you could put like 518 00:29:27,280 --> 00:29:31,960 Speaker 1: a numeric keypad projected onto your wrist, which is neat, 519 00:29:32,000 --> 00:29:34,920 Speaker 1: but it doesn't mean anything unless if you press the numbers, 520 00:29:34,920 --> 00:29:38,080 Speaker 1: it does something. And that's where those finger caps came in, 521 00:29:38,200 --> 00:29:41,280 Speaker 1: Like the the allowed the camera to track what your 522 00:29:41,280 --> 00:29:44,720 Speaker 1: fingers were doing. And that was a really really big 523 00:29:44,760 --> 00:29:48,320 Speaker 1: proof proof of concept that sense put out there, which 524 00:29:48,400 --> 00:29:53,000 Speaker 1: is tracking how we move because there's a difference between 525 00:29:53,040 --> 00:29:55,600 Speaker 1: just adding a layer of recipes on your soup can 526 00:29:56,080 --> 00:29:59,280 Speaker 1: and being able to swipe through recipes just by making 527 00:29:59,320 --> 00:30:02,000 Speaker 1: a gesture in the air with your finger. And that 528 00:30:02,080 --> 00:30:04,760 Speaker 1: was something that sixth cents showed could be done. And 529 00:30:04,800 --> 00:30:07,960 Speaker 1: that is starting to show up on phones as well, 530 00:30:08,200 --> 00:30:10,440 Speaker 1: where now you know you squeeze your phone, like the 531 00:30:10,480 --> 00:30:13,360 Speaker 1: screen of your phone, it's using all sorts of sensors 532 00:30:13,360 --> 00:30:17,880 Speaker 1: and pressure gauges and and um vibration measurements to to 533 00:30:18,160 --> 00:30:20,680 Speaker 1: figure out what you're doing with your fingers. Now they're 534 00:30:20,720 --> 00:30:24,800 Speaker 1: starting to track it using things like the infrared um 535 00:30:25,320 --> 00:30:28,120 Speaker 1: uh time of flight camera, so that you don't actually 536 00:30:28,160 --> 00:30:30,680 Speaker 1: touch your your screen, you just kind of make these 537 00:30:30,720 --> 00:30:34,880 Speaker 1: gestures above it. And when when that becomes further and 538 00:30:34,920 --> 00:30:37,720 Speaker 1: further developed, that will very clearly be used for a 539 00:30:37,960 --> 00:30:40,800 Speaker 1: r in the future. Yeah, and it's kind of funny 540 00:30:40,880 --> 00:30:44,520 Speaker 1: and clunky. Is something from two thousand nine appears now 541 00:30:45,040 --> 00:30:48,560 Speaker 1: just ten years ago. Just scrub through to the end 542 00:30:48,600 --> 00:30:51,520 Speaker 1: of that Ted talk and see the audience go wild 543 00:30:53,120 --> 00:30:55,280 Speaker 1: like that. That's the cool thing about this early tech. 544 00:30:55,320 --> 00:30:57,880 Speaker 1: At the people at these Ted talks, Man, they can 545 00:30:57,880 --> 00:30:59,680 Speaker 1: see it. They can see the future because they know 546 00:31:00,040 --> 00:31:02,400 Speaker 1: they can see beyond the fact that you've got six 547 00:31:02,440 --> 00:31:05,680 Speaker 1: different things hanging around your neck and strapped to your head. Sure, 548 00:31:05,800 --> 00:31:08,040 Speaker 1: it's the proof of concept because like you said, they 549 00:31:08,040 --> 00:31:10,720 Speaker 1: can always package it in the future and a nice 550 00:31:10,760 --> 00:31:13,680 Speaker 1: little tidy thing that you can sell. Well, everybody knows 551 00:31:13,760 --> 00:31:16,680 Speaker 1: that Ted Talks were populated by only the best people 552 00:31:16,880 --> 00:31:21,440 Speaker 1: on the best So there's a lot of this going 553 00:31:21,480 --> 00:31:24,080 Speaker 1: on now all around you, beyond the NFL, on the 554 00:31:24,080 --> 00:31:26,680 Speaker 1: football field, the n C double A they use that 555 00:31:26,680 --> 00:31:30,280 Speaker 1: stuff too, right. Uh, Yeah, I think everybody uses that 556 00:31:30,280 --> 00:31:33,560 Speaker 1: that glowing line for first douns. And remember they had 557 00:31:33,560 --> 00:31:35,480 Speaker 1: it following the hockey puck for a little while. The 558 00:31:35,880 --> 00:31:39,280 Speaker 1: last it didn't. And I specifically remember we talked about 559 00:31:39,360 --> 00:31:42,880 Speaker 1: that too wherever we talked about this before. But icky 560 00:31:42,920 --> 00:31:46,240 Speaker 1: fans were like, I don't like it. I don't want 561 00:31:46,280 --> 00:31:49,640 Speaker 1: my puck to glow. Um, but the the it kind 562 00:31:49,680 --> 00:31:52,120 Speaker 1: of is popped up here there and all sorts of 563 00:31:52,200 --> 00:31:55,640 Speaker 1: random places. There was an Esquire cover once where when 564 00:31:55,640 --> 00:31:59,400 Speaker 1: you waved your smartphone over it using the app Robert 565 00:31:59,400 --> 00:32:02,720 Speaker 1: Downey June, you would start talking to you. Um, there's 566 00:32:02,760 --> 00:32:05,600 Speaker 1: Starbucks Valentines you can send where you like looked at 567 00:32:05,600 --> 00:32:07,680 Speaker 1: a cup and it would say, hey, be my Valentine 568 00:32:07,720 --> 00:32:10,040 Speaker 1: or something stupid like that. There was a beta production 569 00:32:10,040 --> 00:32:14,200 Speaker 1: in the nineties called Dancing in Cyberspace. People are like, oh, 570 00:32:14,320 --> 00:32:16,760 Speaker 1: you can do stuff like this, so let me figure 571 00:32:16,800 --> 00:32:18,760 Speaker 1: out a neat way to use it. But it hadn't 572 00:32:18,800 --> 00:32:23,680 Speaker 1: really started to accumulate until the last probably five or 573 00:32:23,720 --> 00:32:27,680 Speaker 1: seven or ten years, when people really started throwing money 574 00:32:27,720 --> 00:32:31,520 Speaker 1: at a r development and and app creation. Yeah, I 575 00:32:31,520 --> 00:32:32,880 Speaker 1: mean one of you know, I use some of this 576 00:32:32,920 --> 00:32:35,880 Speaker 1: stuff here and there. Um, I'm not like a total 577 00:32:35,880 --> 00:32:38,360 Speaker 1: poop who er. I'm just saying I'm never gonna walk 578 00:32:38,400 --> 00:32:42,480 Speaker 1: around the world with a headset on. I don't think 579 00:32:42,520 --> 00:32:45,239 Speaker 1: that that's correct. Oh man, I will not do it 580 00:32:45,280 --> 00:32:50,120 Speaker 1: just despite you. Now it's correct, But it wouldn't have 581 00:32:50,120 --> 00:32:52,280 Speaker 1: been had I not said, had I just been like, sure, sure, 582 00:32:52,280 --> 00:32:55,080 Speaker 1: of course I'll be doing stories on the last man 583 00:32:55,160 --> 00:32:57,480 Speaker 1: on earth. To not do this all right, I wish 584 00:32:57,600 --> 00:33:00,000 Speaker 1: I could go back and edit out your mind here 585 00:33:00,000 --> 00:33:02,720 Speaker 1: are there, because this is one time I would do it. 586 00:33:03,120 --> 00:33:06,080 Speaker 1: But I like stuff like the sky maps. Um these 587 00:33:06,120 --> 00:33:08,640 Speaker 1: apps where you can go out at nighttime or in 588 00:33:08,640 --> 00:33:11,400 Speaker 1: the daytime, but it's more fun at night and look 589 00:33:11,400 --> 00:33:14,800 Speaker 1: at the stars and hold up your phone and um 590 00:33:15,120 --> 00:33:17,920 Speaker 1: see what what planets and constellations are out there, and 591 00:33:17,960 --> 00:33:21,880 Speaker 1: tap on one to get information. Stuff like that's really neat. Um. 592 00:33:21,960 --> 00:33:26,800 Speaker 1: My uncle, or rather I guess Emily's uncle, Tim, came 593 00:33:26,840 --> 00:33:29,440 Speaker 1: to visit not too long ago, and he I looked over, 594 00:33:29,640 --> 00:33:33,960 Speaker 1: was with um with my kid, showing her the room 595 00:33:34,000 --> 00:33:36,480 Speaker 1: around him, and I was like, all right, what's that 596 00:33:36,520 --> 00:33:38,880 Speaker 1: all about? And I went over and looked and I 597 00:33:38,880 --> 00:33:41,120 Speaker 1: don't know what the program was, but it's just the 598 00:33:41,160 --> 00:33:44,600 Speaker 1: walls were dripping with blood and that wasn't there, but 599 00:33:44,600 --> 00:33:46,480 Speaker 1: it very well could have been because they were like sharp. 600 00:33:46,560 --> 00:33:49,600 Speaker 1: You were like an aquarium. There were sharks and fish 601 00:33:49,640 --> 00:33:51,240 Speaker 1: and all these things, and she just of course it 602 00:33:51,280 --> 00:33:53,560 Speaker 1: blew her mind. Sure, but this is the world that 603 00:33:53,640 --> 00:33:56,560 Speaker 1: she's growing up in. This is to be totally normal. There, 604 00:33:56,760 --> 00:34:00,400 Speaker 1: that and that application when she's in her one ease, 605 00:34:00,720 --> 00:34:04,840 Speaker 1: will seem as primitive and clunky as a walkman does today. 606 00:34:05,240 --> 00:34:09,399 Speaker 1: For sure. You know, oh, I mean it looks clunky now, yeah, 607 00:34:09,440 --> 00:34:11,759 Speaker 1: I would say, I would say, so, how about like 608 00:34:12,000 --> 00:34:15,319 Speaker 1: people walking around with the phonograph, We're gonna say that 609 00:34:15,360 --> 00:34:19,600 Speaker 1: one instead. I'm gonna just double down even more triple down. 610 00:34:19,640 --> 00:34:21,960 Speaker 1: I guess you could say triple down. There are also 611 00:34:22,120 --> 00:34:25,640 Speaker 1: other applications, like, um, there's one for the for the 612 00:34:25,680 --> 00:34:29,759 Speaker 1: Gatwick Airport. It's a passenger app where you can hold 613 00:34:29,800 --> 00:34:32,879 Speaker 1: it up and find out information about wait times and 614 00:34:33,280 --> 00:34:36,719 Speaker 1: where the restrooms are, where you know where the restaurant 615 00:34:36,719 --> 00:34:39,040 Speaker 1: you want to go to is. Yeah, there's also one 616 00:34:39,040 --> 00:34:41,640 Speaker 1: that's helpful. Actually, there's a handful of them, where like 617 00:34:42,040 --> 00:34:44,399 Speaker 1: you remember where you park your car and then when 618 00:34:44,400 --> 00:34:46,319 Speaker 1: you're walking through a parking lot, there's like a big 619 00:34:46,360 --> 00:34:49,759 Speaker 1: giant like arrow or something over your car that you 620 00:34:49,840 --> 00:34:53,160 Speaker 1: just walk towards. I would use that because your head, buddy, 621 00:34:53,160 --> 00:34:55,200 Speaker 1: because it's out there right now. I use the primitive 622 00:34:55,280 --> 00:34:57,680 Speaker 1: version now, which is I just take a picture of 623 00:34:57,760 --> 00:35:01,759 Speaker 1: the the road number. Knowing you you probably like just 624 00:35:01,920 --> 00:35:05,319 Speaker 1: carve a picture into a piece of tree bark, and 625 00:35:05,320 --> 00:35:08,760 Speaker 1: then you'll use your you'll use your phone to note 626 00:35:08,800 --> 00:35:11,279 Speaker 1: where you know what direction your car is so you 627 00:35:11,320 --> 00:35:13,719 Speaker 1: can walk into No man, I'll drop a pin. I'm 628 00:35:13,760 --> 00:35:19,319 Speaker 1: not a total luddite. The military, obviously, with anything tech, 629 00:35:19,440 --> 00:35:22,600 Speaker 1: is where a lot of the application goes. Um. They 630 00:35:22,640 --> 00:35:26,839 Speaker 1: are they have something called synthetic training environments where you 631 00:35:26,880 --> 00:35:29,480 Speaker 1: can fully uh well, there are a couple of ways 632 00:35:29,480 --> 00:35:32,000 Speaker 1: to use it. You can fully practice stuff like you 633 00:35:32,000 --> 00:35:35,880 Speaker 1: could practice a raid on a terrorist compound over and 634 00:35:35,920 --> 00:35:39,400 Speaker 1: over again, um with like as much information as you 635 00:35:39,440 --> 00:35:42,640 Speaker 1: have about the compound and the building. You can build 636 00:35:42,640 --> 00:35:47,040 Speaker 1: that out virtually. Or you can potentially at some point 637 00:35:47,160 --> 00:35:50,600 Speaker 1: have soldiers on the field that where this stuff and 638 00:35:50,880 --> 00:35:53,920 Speaker 1: look up and have overlays of uh you know, stuff 639 00:35:53,920 --> 00:35:58,280 Speaker 1: beamed down from satellites about blueprints or just information bring 640 00:35:58,320 --> 00:36:00,640 Speaker 1: you know, instead of hearing it to your walkie talkie 641 00:36:00,719 --> 00:36:04,440 Speaker 1: or whatever. Yeah, you know how like when you zoom 642 00:36:04,480 --> 00:36:07,480 Speaker 1: in at us and you accidentally like move your your 643 00:36:07,520 --> 00:36:09,840 Speaker 1: thumbs in a certain way, all of a sudden, the 644 00:36:09,920 --> 00:36:12,480 Speaker 1: street map and I think Google Maps like becomes three 645 00:36:12,480 --> 00:36:15,400 Speaker 1: dimensional and like you're kind of looking at it in 646 00:36:15,480 --> 00:36:17,160 Speaker 1: a little bit of a three Well you would know 647 00:36:17,239 --> 00:36:20,560 Speaker 1: everyone else listening to this episode knows what I'm talking about. Um, 648 00:36:20,600 --> 00:36:23,160 Speaker 1: But that's what they're saying. Like you could be on 649 00:36:23,200 --> 00:36:25,319 Speaker 1: a battlefield and all of a sudden, there's like a 650 00:36:25,400 --> 00:36:28,799 Speaker 1: three dimensional visualization of what's ahead that you can know 651 00:36:28,840 --> 00:36:32,719 Speaker 1: where to go and it will show you where your 652 00:36:32,719 --> 00:36:38,440 Speaker 1: car is parked, which is great or potentially, Uh, my 653 00:36:38,520 --> 00:36:41,200 Speaker 1: friend was working on an app in Los Angeles for 654 00:36:41,320 --> 00:36:45,120 Speaker 1: like music festivals so you can find your friends. Yeah, 655 00:36:45,280 --> 00:36:48,239 Speaker 1: stuff like that. Well that's one that's um that kind 656 00:36:48,239 --> 00:36:52,000 Speaker 1: of pops up for something called Wikitude, And this is 657 00:36:52,120 --> 00:36:55,279 Speaker 1: UM that's a pretty good example of an entire kind 658 00:36:55,280 --> 00:37:00,200 Speaker 1: of type of augmented reality app where you're just are 659 00:37:00,280 --> 00:37:03,040 Speaker 1: looking at the world around you and it shows you 660 00:37:03,120 --> 00:37:05,680 Speaker 1: all sorts of different information. So like a building you're 661 00:37:05,719 --> 00:37:07,799 Speaker 1: passing might have a restaurant in it, and it will 662 00:37:07,840 --> 00:37:10,360 Speaker 1: show you, like the daily specials for that restaurant, and 663 00:37:10,400 --> 00:37:13,840 Speaker 1: then over here there's um, somebody walking down the street 664 00:37:13,920 --> 00:37:17,400 Speaker 1: and it has their Twitter handle over their head. Um, 665 00:37:17,760 --> 00:37:20,479 Speaker 1: and then there's uh, you know, like the hotel rates 666 00:37:20,520 --> 00:37:22,720 Speaker 1: for a hotel down the street, and all this stuff 667 00:37:22,800 --> 00:37:25,640 Speaker 1: is right there on your phone, which is pretty amazing. 668 00:37:26,000 --> 00:37:30,280 Speaker 1: But um, I guess I hopefully you have to opt 669 00:37:30,360 --> 00:37:33,319 Speaker 1: in for your Twitter handle to like be shown in 670 00:37:33,360 --> 00:37:35,720 Speaker 1: an app like this. But that's a really good example 671 00:37:35,719 --> 00:37:38,520 Speaker 1: of an entire variety of apps which is just basically 672 00:37:38,560 --> 00:37:42,960 Speaker 1: like that overlay of information, additional information about the world 673 00:37:42,960 --> 00:37:45,520 Speaker 1: around us as we're moving through it. Yeah, and I 674 00:37:45,520 --> 00:37:47,360 Speaker 1: could see a world where and this is what I 675 00:37:47,440 --> 00:37:49,840 Speaker 1: told our mutual friend, because he was just like, what 676 00:37:49,920 --> 00:37:52,719 Speaker 1: applications could you see? What could be cool? I was like, 677 00:37:52,760 --> 00:37:54,279 Speaker 1: I could get I guess I could see like if 678 00:37:54,280 --> 00:37:57,439 Speaker 1: you go to the Museum of Natural History, you could 679 00:37:57,480 --> 00:38:02,920 Speaker 1: load up anyone from Ary Seinfeld to us to us 680 00:38:03,600 --> 00:38:06,439 Speaker 1: to be your docent for the day. We could dress 681 00:38:06,480 --> 00:38:10,320 Speaker 1: like Teddy Roosevelt, we could, yeah, or you could just 682 00:38:10,360 --> 00:38:12,480 Speaker 1: point your camera at someone and it dresses them as 683 00:38:12,480 --> 00:38:15,319 Speaker 1: Teddy Roosevelt. Because that's the thing. If that's not a thing. 684 00:38:15,400 --> 00:38:17,800 Speaker 1: It's about to be next week, I'm sure. So I 685 00:38:17,800 --> 00:38:22,880 Speaker 1: could see applications like that, um historically walking around a 686 00:38:22,880 --> 00:38:27,360 Speaker 1: neighborhood getting information instead of um going through the trouble 687 00:38:27,400 --> 00:38:30,120 Speaker 1: to read the plaque by the statue. Yeah for sure. 688 00:38:31,080 --> 00:38:34,560 Speaker 1: Um there's also one. There's one for Pompeii that somebody built. 689 00:38:34,600 --> 00:38:37,640 Speaker 1: That's where you hover over the ruins and you look 690 00:38:37,760 --> 00:38:39,680 Speaker 1: at your screen and it shows you what the building 691 00:38:39,680 --> 00:38:43,479 Speaker 1: looked like before Pompeii was destroyed. Yeah, that's kind of cool. Yeah. 692 00:38:43,600 --> 00:38:46,200 Speaker 1: So so there's a lot of you know, um, really 693 00:38:46,200 --> 00:38:50,560 Speaker 1: great applications already for learning about our world. My prediction 694 00:38:50,719 --> 00:38:52,520 Speaker 1: is is that is what our world is just gonna 695 00:38:52,560 --> 00:38:54,560 Speaker 1: look like. When you're walking down the street or walking 696 00:38:54,600 --> 00:38:58,120 Speaker 1: around historicals that are walking anywhere, You're going to be 697 00:38:58,160 --> 00:39:01,399 Speaker 1: inundated with information like that, and I think you will 698 00:39:01,400 --> 00:39:05,480 Speaker 1: be able to curate it yourself where you select. Say, 699 00:39:05,680 --> 00:39:08,759 Speaker 1: you know, if you're a Instagram user and you don't 700 00:39:08,760 --> 00:39:11,480 Speaker 1: really use Twitter, well, it wouldn't show you people's Twitter handles. 701 00:39:11,480 --> 00:39:14,799 Speaker 1: It would show you their Instagram handles or um, if 702 00:39:14,840 --> 00:39:17,640 Speaker 1: you if it knew you were looking for a hotel, 703 00:39:17,719 --> 00:39:20,480 Speaker 1: hotels dot Com would would show you rates, but it 704 00:39:20,520 --> 00:39:22,880 Speaker 1: wouldn't otherwise, like if it if it was in the 705 00:39:22,880 --> 00:39:25,399 Speaker 1: city that you live in or something like that, Like you, 706 00:39:25,520 --> 00:39:29,239 Speaker 1: it will be ultra tailored to the to the individual. Yeah, 707 00:39:29,239 --> 00:39:31,919 Speaker 1: they would never just feed you content that you didn't 708 00:39:31,920 --> 00:39:34,839 Speaker 1: want to see automatically, right exactly, no one, No one 709 00:39:34,880 --> 00:39:40,160 Speaker 1: does that. No. Healthcare is obviously a big, big field 710 00:39:40,200 --> 00:39:44,400 Speaker 1: for a R because you can do practice surgeries um 711 00:39:44,400 --> 00:39:46,920 Speaker 1: that aren't just generic. You can do it very specific 712 00:39:47,000 --> 00:39:53,239 Speaker 1: to the person. Um there are Maybe the situation is 713 00:39:53,280 --> 00:39:56,120 Speaker 1: like somebody could come in and have a wound and 714 00:39:56,200 --> 00:40:01,040 Speaker 1: they could uh point a camera or you know, your 715 00:40:01,040 --> 00:40:03,640 Speaker 1: phone a phone. I guess I would imagine the hospital 716 00:40:03,640 --> 00:40:05,279 Speaker 1: would have something a little more advanced, but maybe not. 717 00:40:05,520 --> 00:40:07,400 Speaker 1: I don't think you need it. I think you just 718 00:40:07,480 --> 00:40:10,319 Speaker 1: need a smartphone. I just think they would gus see 719 00:40:10,360 --> 00:40:12,880 Speaker 1: it up at least so you didn't feel like you 720 00:40:12,960 --> 00:40:17,000 Speaker 1: did you set that down on a food tray on 721 00:40:17,040 --> 00:40:19,839 Speaker 1: an airplane, I mean, like, is that thing clean? But 722 00:40:19,920 --> 00:40:22,359 Speaker 1: it would look at the wound and it would send 723 00:40:22,400 --> 00:40:27,879 Speaker 1: a message that says you're screwed or yes, or you're great. Yeah, 724 00:40:28,000 --> 00:40:32,400 Speaker 1: the the yeah, one of them. One of the diagnoses 725 00:40:32,440 --> 00:40:36,480 Speaker 1: as you. Yeah, but um, reading about this, I was like, yeah, 726 00:40:36,480 --> 00:40:38,600 Speaker 1: I guess I'll go look up images of wounds for 727 00:40:38,640 --> 00:40:41,480 Speaker 1: a little while. And I did. Did you really? Sometimes 728 00:40:41,520 --> 00:40:43,720 Speaker 1: I can't help myself whenever I see the word wound. 729 00:40:44,360 --> 00:40:46,600 Speaker 1: If I'm researching, I'll just be like, let's go see 730 00:40:46,600 --> 00:40:49,799 Speaker 1: what some wound pictures look like. I'll do that. And 731 00:40:49,840 --> 00:40:52,480 Speaker 1: Emily always just like, why do you do that? It's 732 00:40:52,480 --> 00:40:54,680 Speaker 1: like picking at a scab or something. It's tough not 733 00:40:54,719 --> 00:40:56,840 Speaker 1: to well, And I also argued this just happened the 734 00:40:56,880 --> 00:40:58,359 Speaker 1: other day. I was like, you know, it's that same 735 00:40:58,360 --> 00:41:01,480 Speaker 1: curiosity that is why Josh and I do what we 736 00:41:01,520 --> 00:41:03,560 Speaker 1: do for a living. Yeah, the same one that also 737 00:41:03,640 --> 00:41:07,520 Speaker 1: kills cats left and run. Uh. What are some other 738 00:41:07,560 --> 00:41:11,960 Speaker 1: great applications if you're have sensory impairments? That is huge? Yeah. Yeah. 739 00:41:11,960 --> 00:41:13,480 Speaker 1: I want to give a shout out real quick here 740 00:41:13,480 --> 00:41:16,480 Speaker 1: because I got this from this article called thirty nine 741 00:41:16,520 --> 00:41:19,359 Speaker 1: ways augmented reality can change the world in the next 742 00:41:19,440 --> 00:41:22,480 Speaker 1: five years, and it's by yet see Weener on Thrive 743 00:41:22,560 --> 00:41:25,360 Speaker 1: Global on Medium. It's a lot of words I just 744 00:41:25,360 --> 00:41:27,400 Speaker 1: spit out, but they all make sense eventually if you 745 00:41:27,440 --> 00:41:31,320 Speaker 1: type them into Google. Um, and yet see weener. I 746 00:41:31,320 --> 00:41:34,640 Speaker 1: guess asked like thirty nine different people what they thought 747 00:41:34,640 --> 00:41:37,000 Speaker 1: about the future of a r and stuff that's like 748 00:41:37,040 --> 00:41:39,120 Speaker 1: just around the corner, and this was one of them. Yeah, 749 00:41:39,120 --> 00:41:42,360 Speaker 1: if you think about if you have partial vision and 750 00:41:42,800 --> 00:41:45,440 Speaker 1: it can actually help you to see, you know, it 751 00:41:45,480 --> 00:41:49,319 Speaker 1: can make things pop more and make edges more visible. Um, 752 00:41:49,360 --> 00:41:52,280 Speaker 1: it's it's you know, it's not going to restore vision obviously, 753 00:41:52,360 --> 00:41:55,120 Speaker 1: but it can actually help out partially cited people. Yeah, 754 00:41:55,239 --> 00:41:58,760 Speaker 1: or if you have a hearing impairment, Um, you can 755 00:41:59,040 --> 00:42:02,040 Speaker 1: say walk around and it'll say, oh, there's a train 756 00:42:02,120 --> 00:42:04,880 Speaker 1: coming because it hears the sound of a train, you know, 757 00:42:05,000 --> 00:42:06,919 Speaker 1: flash on your screen maybe a picture of a train 758 00:42:07,040 --> 00:42:09,799 Speaker 1: or just the word train or something like that. Um, 759 00:42:09,840 --> 00:42:13,600 Speaker 1: there's a lot of applications for that that will basically, um, 760 00:42:14,560 --> 00:42:16,439 Speaker 1: cure is not the right word, but that will make 761 00:42:17,040 --> 00:42:20,960 Speaker 1: living in you know, the world so much easier for 762 00:42:21,000 --> 00:42:24,360 Speaker 1: people with with um disabilities. That it's just that's a 763 00:42:24,400 --> 00:42:28,479 Speaker 1: really exciting thing too. And shopping is also exciting. Well. 764 00:42:28,520 --> 00:42:31,879 Speaker 1: That's probably as as much as the military's funding will 765 00:42:31,960 --> 00:42:37,160 Speaker 1: push this technology forward, retail will be at least as 766 00:42:37,160 --> 00:42:39,360 Speaker 1: big a contributor as well, and it already is like 767 00:42:39,440 --> 00:42:43,160 Speaker 1: some of the coolest VR apps around are ones that 768 00:42:43,360 --> 00:42:47,560 Speaker 1: help us consume better. Yeah, I mean I definitely see 769 00:42:47,760 --> 00:42:50,719 Speaker 1: this happening um all around us and in the near 770 00:42:50,760 --> 00:42:53,560 Speaker 1: future even more and more. You walk into a store 771 00:42:54,000 --> 00:42:58,360 Speaker 1: you're shopping for a couch, let's say, and you can, um, 772 00:42:58,400 --> 00:43:00,160 Speaker 1: you can see what that couch might look like in 773 00:43:00,160 --> 00:43:02,360 Speaker 1: your home or if it fits through your door or 774 00:43:02,400 --> 00:43:06,720 Speaker 1: in your space. Yeah, or glasses look like uh, instead 775 00:43:06,760 --> 00:43:09,239 Speaker 1: of trying them on they don't have them in the store, 776 00:43:09,360 --> 00:43:11,839 Speaker 1: you can virtually try them on. Yeah, and you don't 777 00:43:11,840 --> 00:43:14,359 Speaker 1: even have to leave your home either to Another way 778 00:43:14,400 --> 00:43:16,120 Speaker 1: to do it is like you can just hold your 779 00:43:16,160 --> 00:43:18,920 Speaker 1: your phone up and you can, you know, look at 780 00:43:18,920 --> 00:43:20,680 Speaker 1: the space where you want a couch to go and 781 00:43:20,719 --> 00:43:22,719 Speaker 1: select that couch and it'll show up and you'll be 782 00:43:22,719 --> 00:43:25,319 Speaker 1: able to see what it looks like in that space. Yes, 783 00:43:25,360 --> 00:43:29,200 Speaker 1: and I'm sure it will be complete with suggested purchases 784 00:43:29,280 --> 00:43:31,719 Speaker 1: and add ons. Right, You'll just be able to like 785 00:43:31,920 --> 00:43:34,640 Speaker 1: click it, like you say, and purchase it and it'll 786 00:43:34,640 --> 00:43:36,839 Speaker 1: show up at your house. And you might also want 787 00:43:36,880 --> 00:43:40,799 Speaker 1: this ottoman and this throw rug right the yeah, Yeah, 788 00:43:40,840 --> 00:43:43,640 Speaker 1: you're right about what I'm talking about. Yeah, For sure, Um, 789 00:43:43,719 --> 00:43:46,799 Speaker 1: but the the the idea that all of this that 790 00:43:46,960 --> 00:43:49,800 Speaker 1: are world are augmented world in the not too distant 791 00:43:49,800 --> 00:43:52,080 Speaker 1: future is going to be very personalized. That kind of 792 00:43:52,120 --> 00:43:54,839 Speaker 1: comes through to um one of those those people that 793 00:43:55,320 --> 00:43:57,680 Speaker 1: yit se Weener spoke to, which, by the way, yits 794 00:43:57,800 --> 00:43:59,719 Speaker 1: Weener has one of the better names of all time. 795 00:43:59,760 --> 00:44:03,279 Speaker 1: If fantastic Um you see Weener spoke to somebody who said, 796 00:44:03,400 --> 00:44:06,120 Speaker 1: you know, this is gonna be really personalized. So this 797 00:44:06,360 --> 00:44:08,560 Speaker 1: a r world that you're experiencing. If you go to 798 00:44:08,600 --> 00:44:11,640 Speaker 1: a restaurant that a friend recommended, they might have left 799 00:44:11,760 --> 00:44:15,040 Speaker 1: like a recommendation for a dish for you to eat, 800 00:44:15,120 --> 00:44:17,359 Speaker 1: just scrawled on the wall and no one else would 801 00:44:17,400 --> 00:44:19,160 Speaker 1: be able to see it because your friend left it 802 00:44:19,239 --> 00:44:21,520 Speaker 1: for you. But this is this is like the kind 803 00:44:21,560 --> 00:44:24,520 Speaker 1: of personalization that that will have. Or if you walk 804 00:44:24,560 --> 00:44:27,879 Speaker 1: into a store, rather than like tailored ads coming up 805 00:44:27,880 --> 00:44:31,799 Speaker 1: in your in your web searches, like tailored ads will 806 00:44:31,800 --> 00:44:34,040 Speaker 1: come up in your field of view where it's like, hey, 807 00:44:34,200 --> 00:44:36,600 Speaker 1: we heard that you were talking about this, uh, this 808 00:44:36,680 --> 00:44:39,560 Speaker 1: Depeche Mode album. Well it just happens to be right there. 809 00:44:39,960 --> 00:44:42,399 Speaker 1: Even though nobody buys albums anymore, go buy it because 810 00:44:42,400 --> 00:44:45,000 Speaker 1: this is a terrible example. But you get what I'm saying. 811 00:44:45,560 --> 00:44:48,560 Speaker 1: That's what the ad will say. You get what I'm saying. 812 00:44:50,280 --> 00:44:53,000 Speaker 1: All right, let's take our last break here and we 813 00:44:53,000 --> 00:44:55,120 Speaker 1: will talk a little bit about some of the potential 814 00:44:55,440 --> 00:45:01,400 Speaker 1: pitfalls and hurdles facing a R. Stuff you should know, 815 00:45:02,719 --> 00:45:23,920 Speaker 1: lush stuff you should know. Okay, Chuck so Asis, which 816 00:45:23,960 --> 00:45:26,520 Speaker 1: makes UM all sorts of tech hardware and stuff. They 817 00:45:26,560 --> 00:45:29,759 Speaker 1: released a phone recently called the Zen Phone a R 818 00:45:31,200 --> 00:45:34,799 Speaker 1: and it is basically made for augmented reality. It does 819 00:45:34,840 --> 00:45:36,400 Speaker 1: all the other stuff that a phone does, but it 820 00:45:36,440 --> 00:45:39,480 Speaker 1: has like an extra bit of hardware and software that 821 00:45:39,560 --> 00:45:43,560 Speaker 1: makes it like a ACE augmented reality. And one of 822 00:45:43,560 --> 00:45:47,440 Speaker 1: the things that has on board is Google's Tango software, 823 00:45:48,080 --> 00:45:51,040 Speaker 1: and Tango is basically like an a R suite. It 824 00:45:51,160 --> 00:45:56,439 Speaker 1: has things like UM amazing motion detection, area learning. UM. 825 00:45:56,520 --> 00:45:58,600 Speaker 1: Do you remember how we talked about marker less a 826 00:45:58,840 --> 00:46:00,920 Speaker 1: R where it's like, oh that's a river, Oh that's 827 00:46:00,920 --> 00:46:03,759 Speaker 1: a walkway. Like it's really really good at that at 828 00:46:03,840 --> 00:46:08,840 Speaker 1: determining UM markerless objects to to figure out what needs 829 00:46:08,880 --> 00:46:12,640 Speaker 1: to be projected where UM. And it's a really amazing 830 00:46:12,719 --> 00:46:15,760 Speaker 1: phone as far as a R goes. Um. The fact 831 00:46:15,800 --> 00:46:18,040 Speaker 1: that it's out there really kind of shows like people 832 00:46:18,080 --> 00:46:21,120 Speaker 1: are really pouring money into this, this idea, this a 833 00:46:21,320 --> 00:46:24,719 Speaker 1: r idea, UM and eventually that is why I think 834 00:46:24,719 --> 00:46:28,440 Speaker 1: it's going to hit. Yeah. And the zen phone looks uh, 835 00:46:28,760 --> 00:46:30,960 Speaker 1: it's not it's not so clunky, it's like a regular 836 00:46:31,000 --> 00:46:34,000 Speaker 1: smartphone and just at the top in the center has 837 00:46:34,120 --> 00:46:38,800 Speaker 1: a little bit of a hardware situation, but it seems 838 00:46:38,800 --> 00:46:41,160 Speaker 1: like it could probably still just fit into your pocket nicely. 839 00:46:41,960 --> 00:46:45,840 Speaker 1: It's not super bulky, nothing on your forehead, nothing on 840 00:46:45,880 --> 00:46:49,319 Speaker 1: your forehead yet. But that's the thing though, you still 841 00:46:49,360 --> 00:46:54,200 Speaker 1: need a phone. UM. And most people, not most people, 842 00:46:54,239 --> 00:46:58,160 Speaker 1: but over three billion people close to you know, inching 843 00:46:58,200 --> 00:47:02,640 Speaker 1: towards the global population has a smartphone at this point, right, 844 00:47:02,680 --> 00:47:05,360 Speaker 1: So that's not an issue, not the biggest issue. But 845 00:47:05,400 --> 00:47:09,160 Speaker 1: there are some challenges, uh, and they are basically boiled 846 00:47:09,200 --> 00:47:14,040 Speaker 1: down to hardware and bandwidth. UM. Bandwidth is a really 847 00:47:14,040 --> 00:47:19,320 Speaker 1: big deal right now until five G is like fully integrated. UM, 848 00:47:19,320 --> 00:47:22,280 Speaker 1: it's just really tough to meet the band with needs 849 00:47:22,280 --> 00:47:25,359 Speaker 1: of a r right now on a day to day basis. Yeah. 850 00:47:25,400 --> 00:47:27,080 Speaker 1: And like the kind of a are that we're talking 851 00:47:27,120 --> 00:47:30,560 Speaker 1: about where it's called always on augmented reality, where you're 852 00:47:30,600 --> 00:47:32,960 Speaker 1: just walking through the world and there's just digital that 853 00:47:33,040 --> 00:47:36,279 Speaker 1: digital layer is everywhere, and it's really mixed too, so 854 00:47:36,320 --> 00:47:40,320 Speaker 1: that it's really interacting with reality in a very believable 855 00:47:40,360 --> 00:47:45,680 Speaker 1: way that is extraordinarily banned with hungry. Whereas like walking 856 00:47:45,719 --> 00:47:49,759 Speaker 1: down the street and streaming a YouTube video and HD 857 00:47:50,520 --> 00:47:53,799 Speaker 1: requires something like five or six megabytes per second of 858 00:47:53,880 --> 00:47:58,040 Speaker 1: bandwidth and something like thirty to fifty milliseconds of latency, 859 00:47:58,080 --> 00:48:01,640 Speaker 1: which is lag time between your phone sends a commando 860 00:48:01,760 --> 00:48:05,520 Speaker 1: server and then receives the info back. That's that's that's 861 00:48:05,560 --> 00:48:08,040 Speaker 1: about what it takes to watch an HD movie, to 862 00:48:08,120 --> 00:48:12,800 Speaker 1: stream an HD movie, But with UM, with augmented reality apps, 863 00:48:12,840 --> 00:48:15,799 Speaker 1: it's that's nothing like you wouldn't get anywhere with that. 864 00:48:15,960 --> 00:48:20,279 Speaker 1: Now you need about a hundred per second bandwidth and 865 00:48:20,320 --> 00:48:23,960 Speaker 1: a latency of one millisecond. And they think five g 866 00:48:24,200 --> 00:48:29,480 Speaker 1: could solve this problem, but we'll see. I think that 867 00:48:29,600 --> 00:48:31,760 Speaker 1: it definitely well. I think, I mean they're talking about 868 00:48:31,760 --> 00:48:36,120 Speaker 1: like an average download speed of a gigabyte a second 869 00:48:36,400 --> 00:48:38,719 Speaker 1: in peaks of like ten gigs a second, which is 870 00:48:39,760 --> 00:48:43,480 Speaker 1: way more than enough for an a r UM, an 871 00:48:43,480 --> 00:48:46,440 Speaker 1: a r APP. So I think five G really will 872 00:48:46,600 --> 00:48:50,160 Speaker 1: help move a r along. But you still you said 873 00:48:50,160 --> 00:48:52,879 Speaker 1: it earlier. We still have that problem with hardware with 874 00:48:52,960 --> 00:48:56,120 Speaker 1: a phone like the phone. Holding your phone up in 875 00:48:56,160 --> 00:48:58,480 Speaker 1: front of you is no way to move through the world. 876 00:48:58,719 --> 00:49:00,680 Speaker 1: But that's basically what you have to do if you 877 00:49:00,680 --> 00:49:03,640 Speaker 1: want to take part with augmented reality. Well, Google said 878 00:49:03,640 --> 00:49:06,279 Speaker 1: we have an idea, how about Google Glass? And everybody said, 879 00:49:06,320 --> 00:49:09,160 Speaker 1: that's a terrible idea. To get that thing out of here. Yeah, 880 00:49:09,200 --> 00:49:12,480 Speaker 1: this was six years ago. I remember Jonathan Strickland. I 881 00:49:12,480 --> 00:49:15,399 Speaker 1: think he was sent some in his defense. I don't 882 00:49:15,400 --> 00:49:19,520 Speaker 1: think he purchased them, but Google, he definitely he really 883 00:49:19,520 --> 00:49:22,520 Speaker 1: wore them a lot, if I remember correctly. Yeah, they 884 00:49:22,640 --> 00:49:24,439 Speaker 1: that did not work out, And one of the big 885 00:49:24,480 --> 00:49:27,160 Speaker 1: problems was they didn't have it fully worked out before 886 00:49:27,160 --> 00:49:29,080 Speaker 1: they said, hey, do you want to go ahead and 887 00:49:29,120 --> 00:49:31,480 Speaker 1: try this thing out. They should have probably worked on 888 00:49:31,520 --> 00:49:34,719 Speaker 1: a little longer, but the prototype was released as the product, 889 00:49:35,640 --> 00:49:38,000 Speaker 1: and they thought that this would just get such a 890 00:49:38,080 --> 00:49:40,200 Speaker 1: claim that it's going to be the next big thing 891 00:49:40,680 --> 00:49:43,319 Speaker 1: and then we'll work out the kinks as uh, the 892 00:49:43,320 --> 00:49:48,880 Speaker 1: money comes flooding in, And that didn't happen because people 893 00:49:48,880 --> 00:49:51,480 Speaker 1: didn't like the idea of people walking around with a 894 00:49:51,560 --> 00:49:55,799 Speaker 1: camera honed on everything or themselves. No, that was a 895 00:49:56,040 --> 00:49:58,120 Speaker 1: that's a big one and it still is today. I mean, 896 00:49:58,200 --> 00:50:03,880 Speaker 1: privacy is an enormous problem with um with augmented reality, 897 00:50:03,960 --> 00:50:07,000 Speaker 1: because to to be a part of it, like you 898 00:50:07,080 --> 00:50:10,279 Speaker 1: have your you're you're either you're wearable or your phone 899 00:50:10,320 --> 00:50:12,480 Speaker 1: or whatever, has to be taking in the world around it, 900 00:50:12,520 --> 00:50:15,640 Speaker 1: and that very frequently includes people. And it's like you said, 901 00:50:15,920 --> 00:50:19,080 Speaker 1: maybe there will very soon be an augmented reality app 902 00:50:19,080 --> 00:50:22,080 Speaker 1: where if you look at somebody, they're suddenly dressed like 903 00:50:22,120 --> 00:50:27,040 Speaker 1: Teddy Roosevelt. That's probably pretty innocuous, but also maybe it 904 00:50:27,040 --> 00:50:30,120 Speaker 1: takes their clothes off and it shows them naked right 905 00:50:30,160 --> 00:50:31,600 Speaker 1: there standing in front of you, and all of a 906 00:50:31,640 --> 00:50:33,600 Speaker 1: sudden you're leering at them and they know what you're 907 00:50:33,600 --> 00:50:36,960 Speaker 1: looking at. And that is an enormous invasion of privacy. 908 00:50:37,120 --> 00:50:40,640 Speaker 1: Plus also, with as much stuff as we share on 909 00:50:40,800 --> 00:50:44,120 Speaker 1: social media, all that stuff can be cobbled together to 910 00:50:44,760 --> 00:50:47,960 Speaker 1: pretty amazing profile of you. And if all of that 911 00:50:48,040 --> 00:50:50,399 Speaker 1: comes up when you look at somebody, when somebody comes 912 00:50:50,400 --> 00:50:53,160 Speaker 1: into your field of vision while you're wearing an augmented 913 00:50:53,160 --> 00:50:56,960 Speaker 1: reality wearable or something Um, that's an enormous invasion of 914 00:50:57,000 --> 00:51:00,080 Speaker 1: privacy too, especially if the person hasn't opted in for 915 00:51:00,120 --> 00:51:02,760 Speaker 1: that to be shared. That's right, and they are. Here's 916 00:51:02,800 --> 00:51:06,760 Speaker 1: the real scary thing. They're talking about a r contact 917 00:51:06,840 --> 00:51:11,239 Speaker 1: lenses that you wear on your eyeballs where this is 918 00:51:11,280 --> 00:51:14,120 Speaker 1: just the world you see at all times. They're not 919 00:51:14,120 --> 00:51:17,600 Speaker 1: clunky glasses, they're not headsets. You wouldn't even know that 920 00:51:17,600 --> 00:51:20,759 Speaker 1: someone has these in necessarily. And the problem now is 921 00:51:20,800 --> 00:51:24,560 Speaker 1: they can't provide a power source, which means that they 922 00:51:24,560 --> 00:51:26,120 Speaker 1: have not figured out a way to make them run 923 00:51:26,120 --> 00:51:31,000 Speaker 1: on human tears. Right, human tears are UM blinking. Surely 924 00:51:31,000 --> 00:51:33,000 Speaker 1: there's a way to make them work from blinking, you 925 00:51:33,000 --> 00:51:35,200 Speaker 1: know what I mean? Well, yeah, I could see that. 926 00:51:35,280 --> 00:51:38,200 Speaker 1: You just gotta blink a lot. Yes, So there was 927 00:51:38,280 --> 00:51:41,759 Speaker 1: something that we ran across, UM that I think if 928 00:51:41,800 --> 00:51:44,760 Speaker 1: you asked me, this is why a lot of people 929 00:51:44,800 --> 00:51:49,680 Speaker 1: are going to start UM using things like UM augmented 930 00:51:49,719 --> 00:51:53,759 Speaker 1: reality wearables or implants or something like that. There's gonna 931 00:51:53,800 --> 00:51:55,959 Speaker 1: be what's called or there could be. I should say, 932 00:51:56,080 --> 00:51:58,080 Speaker 1: I don't mean to say gunna because it's definitely not 933 00:51:58,160 --> 00:52:03,279 Speaker 1: a foregone conclusion, but UM, there could be a UM Uh, 934 00:52:03,680 --> 00:52:06,439 Speaker 1: like a career arms races. How I've seen it put 935 00:52:07,000 --> 00:52:10,120 Speaker 1: where somebody who has like this implant or who has 936 00:52:10,160 --> 00:52:13,320 Speaker 1: gone out and bought these contact lenses or whatever is 937 00:52:13,360 --> 00:52:16,560 Speaker 1: going to be a much more productive employee than somebody 938 00:52:16,560 --> 00:52:19,000 Speaker 1: who still goes to the trouble of typing out, you know, 939 00:52:19,080 --> 00:52:22,520 Speaker 1: how to you know, an internet search or something for information. 940 00:52:22,880 --> 00:52:25,480 Speaker 1: And they're doing it the old school way, They're going 941 00:52:25,520 --> 00:52:28,759 Speaker 1: to get left behind. And when you're talking about things 942 00:52:28,800 --> 00:52:31,640 Speaker 1: like livelihood, people are going to say, well, I need 943 00:52:31,680 --> 00:52:33,239 Speaker 1: to go get those contact lenses, right, I need to 944 00:52:33,320 --> 00:52:35,840 Speaker 1: undergo that surgery to get that implant so that I 945 00:52:35,880 --> 00:52:38,839 Speaker 1: can keep up in today's job market. That is what's 946 00:52:38,840 --> 00:52:42,360 Speaker 1: going to get everybody into the world of a r Yeah. 947 00:52:42,400 --> 00:52:46,400 Speaker 1: And they're also clearly just day to day physical pitfalls 948 00:52:46,480 --> 00:52:50,319 Speaker 1: like walking into traffic or driving off a cliff um, 949 00:52:50,360 --> 00:52:53,359 Speaker 1: because you're wearing those wearable while you're in a car 950 00:52:53,600 --> 00:52:56,319 Speaker 1: or something like that. I would think that some of 951 00:52:56,320 --> 00:52:59,799 Speaker 1: those are going to start coming with UM like you 952 00:52:59,800 --> 00:53:02,440 Speaker 1: want be able to operate it if it's moving, you know, 953 00:53:02,440 --> 00:53:04,200 Speaker 1: over a certain miles per hour or something. I don't 954 00:53:04,200 --> 00:53:06,480 Speaker 1: know how they're going to I don't know, man, I 955 00:53:06,600 --> 00:53:09,000 Speaker 1: do not know. Um, I do know that One of 956 00:53:09,040 --> 00:53:11,279 Speaker 1: the issues that was raised about that though, is the 957 00:53:11,360 --> 00:53:15,239 Speaker 1: ability to hack into stuff like that. And I mean 958 00:53:15,280 --> 00:53:18,239 Speaker 1: if we're if we're just completely reliant and trusting of 959 00:53:18,239 --> 00:53:20,960 Speaker 1: our apps or or a r apps to like kind 960 00:53:20,960 --> 00:53:23,520 Speaker 1: of take us from place to place, we might stop 961 00:53:23,560 --> 00:53:26,160 Speaker 1: thinking for ourselves and just kind of follow them blindly. 962 00:53:26,480 --> 00:53:29,040 Speaker 1: Like you don't use ways, but ways is very well 963 00:53:29,040 --> 00:53:32,080 Speaker 1: known as good as it is um for leading you 964 00:53:32,239 --> 00:53:37,799 Speaker 1: on some real like dingbat side side trips to save 965 00:53:37,840 --> 00:53:41,640 Speaker 1: you like a half of a second um. And I 966 00:53:41,719 --> 00:53:44,120 Speaker 1: follow them like very rarely, am I like, Okay, wait 967 00:53:44,120 --> 00:53:46,279 Speaker 1: where are you taking me? And you'll scroll ahead or 968 00:53:46,320 --> 00:53:49,000 Speaker 1: whatever look at the turns you know in texts. Instead 969 00:53:49,040 --> 00:53:51,000 Speaker 1: you just follow it, and you know you have to 970 00:53:51,040 --> 00:53:53,239 Speaker 1: look over sheepishly at the people who just watched you 971 00:53:53,280 --> 00:53:55,160 Speaker 1: get off on a spur and then get back on 972 00:53:55,239 --> 00:53:58,720 Speaker 1: and really not get anywhere. That's a really great example. 973 00:53:58,760 --> 00:54:01,120 Speaker 1: But imagine if that lead you off of a cliff 974 00:54:01,200 --> 00:54:04,560 Speaker 1: or something like that, and that happens. People literally have 975 00:54:04,760 --> 00:54:08,759 Speaker 1: walked off cliffs playing Pokemon Go because they weren't paying 976 00:54:08,760 --> 00:54:11,799 Speaker 1: attention to the real world around him. Yeah, and this 977 00:54:11,840 --> 00:54:16,439 Speaker 1: isn't exactly a r But my again, Emily's uncle came 978 00:54:16,480 --> 00:54:19,080 Speaker 1: to see us and he has he's a drone guy, 979 00:54:19,719 --> 00:54:21,719 Speaker 1: and he had a setup where you could fly the 980 00:54:21,760 --> 00:54:23,960 Speaker 1: drone up and then he put a headset on me, 981 00:54:24,600 --> 00:54:28,360 Speaker 1: and then I could see through the drones camera, so 982 00:54:28,440 --> 00:54:30,680 Speaker 1: the drones two feet in the air, and then I 983 00:54:30,719 --> 00:54:33,799 Speaker 1: can look around and operate the camera as if I 984 00:54:33,840 --> 00:54:37,320 Speaker 1: was up there, and I could not get that headset 985 00:54:37,360 --> 00:54:39,920 Speaker 1: off of my head quickly enough. Yeah, well that's another 986 00:54:39,960 --> 00:54:41,879 Speaker 1: thing too. I think that's another reason why that five 987 00:54:41,960 --> 00:54:44,160 Speaker 1: G is going to have to take places, like this 988 00:54:44,200 --> 00:54:46,759 Speaker 1: thing needs to be as smooth as possible as people 989 00:54:46,760 --> 00:54:49,400 Speaker 1: are just gonna walk around throwing up everywhere. Oh it 990 00:54:49,400 --> 00:54:52,400 Speaker 1: didn't make me sick. I just it's just not my thing, man. 991 00:54:52,440 --> 00:54:53,879 Speaker 1: I was like, I want to be in the real world. 992 00:54:54,000 --> 00:54:56,879 Speaker 1: I don't want to wear a headset and look at 993 00:54:56,960 --> 00:55:00,879 Speaker 1: something projected. I think I think that is I think 994 00:55:00,920 --> 00:55:03,600 Speaker 1: that will definitely be a thing, Chuck, or there will 995 00:55:03,640 --> 00:55:06,799 Speaker 1: be like there'll be a whole movement of you know, 996 00:55:06,880 --> 00:55:10,359 Speaker 1: back to reality types where rather than back to nature, 997 00:55:10,400 --> 00:55:12,279 Speaker 1: will be back to reality where people are like, no, 998 00:55:12,440 --> 00:55:15,279 Speaker 1: we we just want to experience reality as it is. 999 00:55:15,719 --> 00:55:17,319 Speaker 1: None of people will be like, how can you ever 1000 00:55:17,360 --> 00:55:20,640 Speaker 1: say what reality really is? You know, what is subjective consciousness? 1001 00:55:20,760 --> 00:55:23,160 Speaker 1: You leon? And then they'll say, you're right, We might 1002 00:55:23,200 --> 00:55:26,600 Speaker 1: as well just get digitized. Do you got anything else? 1003 00:55:26,640 --> 00:55:28,880 Speaker 1: I got nothing else. Well, let's revisit this poet in 1004 00:55:28,920 --> 00:55:33,040 Speaker 1: five years. Okay, hawe. If you want to know more 1005 00:55:33,080 --> 00:55:36,440 Speaker 1: about augmented reality, go online and start finding apps and 1006 00:55:36,480 --> 00:55:38,600 Speaker 1: see what you think. You'll love it. There's also a 1007 00:55:38,600 --> 00:55:41,200 Speaker 1: pretty good article on how stuff works you can check 1008 00:55:41,200 --> 00:55:43,720 Speaker 1: out too. And since I said that, it's time for listener, 1009 00:55:43,760 --> 00:55:51,400 Speaker 1: ma'il ah. This is called a disagreement about trunk or treating. Okay, 1010 00:55:51,719 --> 00:55:56,799 Speaker 1: we had a very minor spat. Oh yeah, yeah, I thought, Hey, guys, 1011 00:55:56,840 --> 00:56:00,920 Speaker 1: been listening since. And consider myself a devotee. I've marveled 1012 00:56:00,960 --> 00:56:03,400 Speaker 1: for some time about how good natured, good natured you 1013 00:56:03,400 --> 00:56:06,680 Speaker 1: are toward each other, even when you disagree slightly on 1014 00:56:06,719 --> 00:56:09,600 Speaker 1: some of the controversial topics. I think it's an important 1015 00:56:09,640 --> 00:56:12,960 Speaker 1: skill to have, especially in the midst of divisive ages. 1016 00:56:13,560 --> 00:56:16,240 Speaker 1: After over three years of listening to your dulcet tones, however, 1017 00:56:16,640 --> 00:56:19,520 Speaker 1: your masks finally began to slip. The most unlikely of 1018 00:56:19,560 --> 00:56:24,640 Speaker 1: episodes trunk or Treating. I thought that the disagreement over 1019 00:56:24,680 --> 00:56:27,279 Speaker 1: the presence of apple bobbing at trunk or Treating is 1020 00:56:27,320 --> 00:56:30,600 Speaker 1: going to boil over, but being the consummate professionals you are, 1021 00:56:30,640 --> 00:56:33,520 Speaker 1: you swiftly moved on. I did find the momentary annoyance 1022 00:56:33,520 --> 00:56:35,480 Speaker 1: in your voice is hilarious, though, and it just goes 1023 00:56:35,520 --> 00:56:38,239 Speaker 1: to show you uh to take that you take every 1024 00:56:38,280 --> 00:56:40,920 Speaker 1: episode very seriously, despite the seemingly laid back manner in 1025 00:56:40,920 --> 00:56:43,600 Speaker 1: which you deliver your pearls of wisdom. I've long been 1026 00:56:43,640 --> 00:56:46,600 Speaker 1: waiting for a conflict between the two of you because 1027 00:56:46,680 --> 00:56:50,000 Speaker 1: I've found your on my relationship very funny. And the 1028 00:56:50,040 --> 00:56:51,920 Speaker 1: fact that the first sign of an argument came when 1029 00:56:51,960 --> 00:56:54,719 Speaker 1: discussing a child's Halloween event is the most stuff you 1030 00:56:54,719 --> 00:56:57,279 Speaker 1: should know thing that has ever happened and made me 1031 00:56:57,360 --> 00:57:01,240 Speaker 1: laugh out loud. So that is from one Alex in London. 1032 00:57:01,520 --> 00:57:03,880 Speaker 1: Thanks Alex. You should go back and listen to the 1033 00:57:03,880 --> 00:57:07,040 Speaker 1: Barbie episode. We had a little spat in that one too, 1034 00:57:07,080 --> 00:57:09,640 Speaker 1: if I remember Craig and I will say this is 1035 00:57:09,680 --> 00:57:13,080 Speaker 1: not a grass watering grass level vindication. But we got 1036 00:57:13,120 --> 00:57:15,759 Speaker 1: at least one email from a guy They said our 1037 00:57:15,800 --> 00:57:19,120 Speaker 1: trunk or Treating has Fall Festival stuff too, because yes, 1038 00:57:19,280 --> 00:57:21,840 Speaker 1: that's fine, he said, because the kids it would take 1039 00:57:21,880 --> 00:57:25,320 Speaker 1: them fifteen minutes to visit the cars and that's not 1040 00:57:25,400 --> 00:57:29,080 Speaker 1: long enough, right, So in this case, trunk or treating 1041 00:57:29,320 --> 00:57:32,560 Speaker 1: is a feature of the larger Fall festival, but apple 1042 00:57:32,600 --> 00:57:37,040 Speaker 1: bobbing has nothing to do with trunk or treating. Let's 1043 00:57:37,040 --> 00:57:39,479 Speaker 1: just send this, okay, let's do it all right. Well, 1044 00:57:39,960 --> 00:57:41,440 Speaker 1: if you want to get in such with this, like 1045 00:57:41,480 --> 00:57:43,840 Speaker 1: Alex from London did, you can go on to stuff 1046 00:57:43,880 --> 00:57:46,520 Speaker 1: you Should Know dot com and check out our social links. 1047 00:57:46,760 --> 00:57:49,200 Speaker 1: You can also send us an email The stuff podcast 1048 00:57:49,240 --> 00:57:54,600 Speaker 1: at iHeart radio dot com. Stuff you Should Know is 1049 00:57:54,600 --> 00:57:57,200 Speaker 1: a production of iHeart Radios. How stuff works for more 1050 00:57:57,240 --> 00:57:59,439 Speaker 1: podcasts for my heart Radio because at the iHeart Radio 1051 00:57:59,480 --> 00:58:02,400 Speaker 1: app podcasts and where ever you listen to your favorite shows. 1052 00:58:05,280 --> 00:58:09,280 Speaker 1: M h m hm