1 00:00:04,240 --> 00:00:07,560 Speaker 1: Get in text with technology with text Stuff from half Stuff. 2 00:00:12,640 --> 00:00:15,200 Speaker 1: Happy New Year, everyone, and welcome to tex Stuff. I 3 00:00:15,240 --> 00:00:18,400 Speaker 1: am Jonathan Strickland and I'm Lauren. And you know, it's 4 00:00:18,400 --> 00:00:21,079 Speaker 1: that time that we like to put off as long 5 00:00:21,120 --> 00:00:23,919 Speaker 1: as we possibly can, where tech Stuff puts on its 6 00:00:23,960 --> 00:00:28,440 Speaker 1: prognosticator hat, stairs into the future and says, what's gonna 7 00:00:28,440 --> 00:00:33,199 Speaker 1: happen y'all? Now before we even start to reveal some 8 00:00:33,280 --> 00:00:35,760 Speaker 1: of the predictions we have made for the next year 9 00:00:36,040 --> 00:00:38,880 Speaker 1: a couple of different things. Instead of our usual approach 10 00:00:38,920 --> 00:00:41,680 Speaker 1: where we just alternate back and forth, but we've actually 11 00:00:41,720 --> 00:00:45,560 Speaker 1: kind of divided up our predictions into different categories. We 12 00:00:45,640 --> 00:00:48,840 Speaker 1: talked about them beforehand a little bit enough to see 13 00:00:48,840 --> 00:00:51,440 Speaker 1: where we had overlap and just to organize this so 14 00:00:51,479 --> 00:00:53,479 Speaker 1: that it doesn't end up being, oh, you know, when 15 00:00:53,520 --> 00:00:55,480 Speaker 1: you made that prediction about such and such, I've got 16 00:00:55,480 --> 00:00:57,640 Speaker 1: a prediction. You know, we wanted it to be nice 17 00:00:57,680 --> 00:01:01,360 Speaker 1: and clean and also keeping line that we are recording 18 00:01:01,400 --> 00:01:05,720 Speaker 1: this particular episode on December twelve, two thirteen, so we're 19 00:01:05,720 --> 00:01:09,000 Speaker 1: coming to you from the past, Yes, from the incredible past. 20 00:01:09,120 --> 00:01:12,360 Speaker 1: There is a possibility example, an asteroid in the latter 21 00:01:12,400 --> 00:01:18,240 Speaker 1: half of December fell on Facebook, Facebook headquarters then and 22 00:01:18,319 --> 00:01:21,319 Speaker 1: we make a prediction about Facebook that obviously could not 23 00:01:21,400 --> 00:01:24,120 Speaker 1: come true because of those facts. Uh, that's why it 24 00:01:24,160 --> 00:01:26,800 Speaker 1: hasn't happened to us yet. Yes, the same sort of thing, 25 00:01:26,840 --> 00:01:30,720 Speaker 1: like there's um specifically, there's a bit about Microsoft and 26 00:01:30,760 --> 00:01:34,119 Speaker 1: it's CEO, which that answered that question. May be resolved 27 00:01:34,200 --> 00:01:36,240 Speaker 1: before we go into the new year. It would surprise me, 28 00:01:36,280 --> 00:01:38,840 Speaker 1: but it might not, like it won't. But um, so 29 00:01:38,920 --> 00:01:44,720 Speaker 1: my first prediction is about Facebook. What Okay, so what 30 00:01:44,880 --> 00:01:49,040 Speaker 1: is your prediction. My prediction is that is that will 31 00:01:49,080 --> 00:01:53,440 Speaker 1: be the year that Facebook goes into serious decline. Wow. 32 00:01:53,680 --> 00:01:57,920 Speaker 1: That's that's big. That's a big prediction. I I know 33 00:01:58,000 --> 00:02:00,240 Speaker 1: that it's the ruler. It is a bold prediction, um. 34 00:02:00,360 --> 00:02:02,040 Speaker 1: And I know that it is very much right now 35 00:02:02,080 --> 00:02:06,000 Speaker 1: the ruler of the social media platform roost um as 36 00:02:06,200 --> 00:02:10,799 Speaker 1: of this podcast. As of September anyway, Um, they had 37 00:02:10,880 --> 00:02:15,440 Speaker 1: seven seven million daily active users on average and uh 38 00:02:15,680 --> 00:02:20,200 Speaker 1: one point one nine billion monthly active users. And okay, 39 00:02:20,200 --> 00:02:23,240 Speaker 1: so that's a bunch of people, y'all. I understand that. UM. 40 00:02:23,320 --> 00:02:25,080 Speaker 1: But you know, and I'm not saying that there's going 41 00:02:25,120 --> 00:02:27,520 Speaker 1: to be a mass exodus. I'm not going to say 42 00:02:27,600 --> 00:02:30,840 Speaker 1: that like, by the end there'll be three people on 43 00:02:30,840 --> 00:02:34,119 Speaker 1: Facebook and one of the will be your mom. Right. 44 00:02:34,200 --> 00:02:36,959 Speaker 1: But um, you know, I think that I think the 45 00:02:37,000 --> 00:02:39,880 Speaker 1: people are going to stay on Facebook as a personal identifier, 46 00:02:39,960 --> 00:02:41,760 Speaker 1: Like I think that right now, it is really the 47 00:02:41,840 --> 00:02:45,799 Speaker 1: social network that is used by I mean, obviously is 48 00:02:46,160 --> 00:02:49,360 Speaker 1: used by most human people as a kind of base present. 49 00:02:49,720 --> 00:02:51,400 Speaker 1: But um, but I think that people are going to 50 00:02:51,400 --> 00:02:56,040 Speaker 1: start moving to other platforms, uh Tumbler, Twitter, I'm not sure. Um, 51 00:02:56,080 --> 00:02:59,760 Speaker 1: but you know, even even Facebook themselves. During a third 52 00:03:00,080 --> 00:03:04,639 Speaker 1: to earnings call, chief financial officer David A. Ebersman acknowledged 53 00:03:04,760 --> 00:03:07,600 Speaker 1: that Facebook had been seeing a decrease in daily users, 54 00:03:07,639 --> 00:03:12,120 Speaker 1: and especially Americans around the thirteen to fourteen years of 55 00:03:12,160 --> 00:03:14,200 Speaker 1: age kind of brains. So it may be that we're 56 00:03:14,200 --> 00:03:17,360 Speaker 1: talking about a shift because as the demographic gets older, 57 00:03:17,440 --> 00:03:19,560 Speaker 1: you don't see an influx of new users, and the 58 00:03:19,560 --> 00:03:21,799 Speaker 1: people who start to go away aren't being replaced by 59 00:03:21,960 --> 00:03:24,360 Speaker 1: by new folks, right right, And you know, like people 60 00:03:24,400 --> 00:03:27,360 Speaker 1: aren't deleting accounts yet, but they are checking the site 61 00:03:27,440 --> 00:03:31,000 Speaker 1: less often. And meanwhile, Twitter's audience is starting to skew 62 00:03:31,080 --> 00:03:33,840 Speaker 1: younger than the rest of the entire Internet. And see 63 00:03:34,040 --> 00:03:36,040 Speaker 1: you know, there's certain things I think that really feed 64 00:03:36,080 --> 00:03:39,160 Speaker 1: into this. I mean, there there there's more and more 65 00:03:39,560 --> 00:03:42,720 Speaker 1: information that comes out that makes it plain to the 66 00:03:42,720 --> 00:03:46,920 Speaker 1: average user what Facebook, you know, why? Why how Facebook 67 00:03:46,920 --> 00:03:48,800 Speaker 1: makes their money? I mean, the fact is that the 68 00:03:49,000 --> 00:03:52,280 Speaker 1: users are actually the product, right, That's what Facebook is 69 00:03:52,320 --> 00:03:56,320 Speaker 1: selling and serving advertising to to those users. And how 70 00:03:56,360 --> 00:03:58,320 Speaker 1: it does. Yeah, and they you know, doing things like 71 00:03:58,480 --> 00:04:02,960 Speaker 1: having AutoPlay videos happen in the news feed, including possibly 72 00:04:03,040 --> 00:04:07,080 Speaker 1: AutoPlay ads. That's not necessarily a feature that a lot 73 00:04:07,120 --> 00:04:09,200 Speaker 1: of users are going to like. And then you know, 74 00:04:09,520 --> 00:04:12,560 Speaker 1: on the on the corporate side, anyone who's or just 75 00:04:12,760 --> 00:04:15,920 Speaker 1: on the organizational side, anyone who has a Facebook page 76 00:04:15,960 --> 00:04:18,080 Speaker 1: as and not not their own personal page, but a 77 00:04:18,160 --> 00:04:21,719 Speaker 1: page for something a brand or a band or whatever. Um, 78 00:04:21,760 --> 00:04:24,880 Speaker 1: they are discovering this getting harder and harder to hit 79 00:04:24,920 --> 00:04:28,360 Speaker 1: their reach. Like they might have thousands of fans who 80 00:04:28,360 --> 00:04:31,680 Speaker 1: are following them, but when they post a tiny percentage 81 00:04:31,680 --> 00:04:34,200 Speaker 1: of those people are seeing whatever those posts are, uns 82 00:04:34,839 --> 00:04:37,520 Speaker 1: they pay money to pay it out to more to 83 00:04:37,600 --> 00:04:40,039 Speaker 1: more users. Yeah and um, and all of this I 84 00:04:40,080 --> 00:04:45,400 Speaker 1: think is making making Facebook seem more more corporate and 85 00:04:45,880 --> 00:04:49,279 Speaker 1: less like a like an innovative play space to those 86 00:04:49,360 --> 00:04:53,640 Speaker 1: really critical younger users. Right, So unless something major changes 87 00:04:53,800 --> 00:04:59,680 Speaker 1: that you see Facebook having at least uh a market decline, 88 00:04:59,800 --> 00:05:02,080 Speaker 1: some thing that we could look at and say, all right, here, 89 00:05:02,160 --> 00:05:05,520 Speaker 1: here are some quantifiable numbers that show that it's it's 90 00:05:05,760 --> 00:05:07,919 Speaker 1: didn't have a great year. I think it's going to 91 00:05:07,920 --> 00:05:10,000 Speaker 1: have a poor year. I I do not. I cannot 92 00:05:10,040 --> 00:05:13,080 Speaker 1: in good conscience predicted that, um that either Tumbler or 93 00:05:13,120 --> 00:05:17,080 Speaker 1: Twitter or snapchatter, etcetera going to overtake Facebook in terms 94 00:05:17,120 --> 00:05:19,760 Speaker 1: of user numbers. But um, but I think that any 95 00:05:19,839 --> 00:05:24,080 Speaker 1: any one at least some probably Twitter, okay probably Twitter 96 00:05:24,240 --> 00:05:29,440 Speaker 1: will will seem more daily action than Facebook will. Gotcha. Well, 97 00:05:29,760 --> 00:05:34,120 Speaker 1: along those same story of lines, my social media prediction 98 00:05:34,839 --> 00:05:37,640 Speaker 1: is that we're going to see more of the types 99 00:05:37,920 --> 00:05:41,919 Speaker 1: of social media platforms that allow you to post things 100 00:05:42,000 --> 00:05:45,240 Speaker 1: for just a specific amount of time and then after 101 00:05:45,279 --> 00:05:49,560 Speaker 1: that time it's gone. So Snapchat mission impossible. Message that Yeah, 102 00:05:49,600 --> 00:05:53,480 Speaker 1: within thirty seconds of message self destructs. Yeah, because Snapchat. 103 00:05:53,520 --> 00:05:56,080 Speaker 1: I don't know if you've ever seen it or used it. 104 00:05:56,160 --> 00:05:59,560 Speaker 1: I actually haven't, which means that I'm really old and uncool. Right. 105 00:06:00,839 --> 00:06:02,680 Speaker 1: It all depends on the kind of friends you have. 106 00:06:02,920 --> 00:06:05,000 Speaker 1: But what's your experience of Snapchat is going to be. 107 00:06:05,160 --> 00:06:06,720 Speaker 1: But the idea being that you know, you can take 108 00:06:06,760 --> 00:06:09,359 Speaker 1: a picture and share it with your group of friends 109 00:06:09,360 --> 00:06:13,799 Speaker 1: on Snapchat, and it only exists for a set number 110 00:06:13,800 --> 00:06:16,320 Speaker 1: of seconds, and you can determine how long it exists, 111 00:06:16,400 --> 00:06:19,840 Speaker 1: and after that it deletes itself and the person cannot 112 00:06:19,880 --> 00:06:23,000 Speaker 1: go and look at it again. And uh So in 113 00:06:23,040 --> 00:06:25,240 Speaker 1: that case, it may be that we're going to see 114 00:06:25,240 --> 00:06:30,960 Speaker 1: more and more of these sorts of social media um platforms, partly, 115 00:06:31,080 --> 00:06:33,799 Speaker 1: I think because we've got some people who are starting 116 00:06:33,839 --> 00:06:37,440 Speaker 1: to finally care about privacy, especially in light of things 117 00:06:37,480 --> 00:06:40,760 Speaker 1: like the n Essay story from those fifteen, which I 118 00:06:41,160 --> 00:06:44,400 Speaker 1: know is going to keep on going. So I predict 119 00:06:44,400 --> 00:06:46,880 Speaker 1: that by the end often we're going to see other 120 00:06:47,560 --> 00:06:50,000 Speaker 1: several other social media platforms that have the sort of 121 00:06:50,040 --> 00:06:53,080 Speaker 1: temporary presence where you can post something and then not 122 00:06:53,200 --> 00:06:55,600 Speaker 1: worry about it haunting you later because it's gonna go 123 00:06:55,680 --> 00:06:59,120 Speaker 1: away um And so we should have a few of 124 00:06:59,120 --> 00:07:00,920 Speaker 1: those by the end of twenty four. Team And in 125 00:07:01,279 --> 00:07:03,600 Speaker 1: defense of this, one of one of the news items 126 00:07:03,600 --> 00:07:05,360 Speaker 1: that has happened over the past couple of months, I'm 127 00:07:05,360 --> 00:07:08,800 Speaker 1: only white who was the former um, Facebook director of 128 00:07:08,839 --> 00:07:13,520 Speaker 1: Business Operations with with Instagram. UM Instagram within Facebook, UM 129 00:07:14,600 --> 00:07:19,040 Speaker 1: left to become the CEO of Snapchat Snapchat, so that 130 00:07:19,360 --> 00:07:21,920 Speaker 1: you know, as as of the last round of investment, 131 00:07:21,960 --> 00:07:25,360 Speaker 1: they had raised some like seventy million dollars. And yeah, 132 00:07:25,360 --> 00:07:29,320 Speaker 1: so there's definitely interest there. And Snapchat skews younger, right, 133 00:07:29,400 --> 00:07:31,560 Speaker 1: so uh in the same sort of thing, like I 134 00:07:31,600 --> 00:07:34,400 Speaker 1: think Instagram is another one of those things that had 135 00:07:34,680 --> 00:07:37,080 Speaker 1: you know, it's skewed younger too, and then Facebook was like, 136 00:07:37,120 --> 00:07:38,760 Speaker 1: all right, let's let's move in on that. And then 137 00:07:38,760 --> 00:07:42,960 Speaker 1: people are like, oh, you got Facebook on my Instagram. Yeah, 138 00:07:43,360 --> 00:07:45,560 Speaker 1: all right, so let's move on. We have a different 139 00:07:45,560 --> 00:07:48,720 Speaker 1: category you want to talk about now, hardware. Yeah. I 140 00:07:48,800 --> 00:07:53,160 Speaker 1: have a prediction that UM that devices that the rule 141 00:07:53,440 --> 00:07:57,680 Speaker 1: of device sales in is going to be price over quality. 142 00:07:57,960 --> 00:07:59,960 Speaker 1: So something that's less expensive is going to be more 143 00:08:00,040 --> 00:08:04,000 Speaker 1: popular than something that is by some measure made better, 144 00:08:04,520 --> 00:08:07,680 Speaker 1: right and UM. And furthermore that UM that that in 145 00:08:07,720 --> 00:08:11,360 Speaker 1: this trend, Apple is going to lose market share to 146 00:08:11,360 --> 00:08:15,320 Speaker 1: to Android. UM. And you know, I mean, okay, so 147 00:08:15,320 --> 00:08:17,240 Speaker 1: so I think that I think the mobile devices are 148 00:08:17,280 --> 00:08:19,720 Speaker 1: going to be really big. That's not really a prediction 149 00:08:19,760 --> 00:08:23,040 Speaker 1: as much as like duh um, because everyone wants it 150 00:08:23,080 --> 00:08:26,240 Speaker 1: portable and plans are still expensive. And so I think 151 00:08:26,280 --> 00:08:28,640 Speaker 1: that that the entry price of the device itself is 152 00:08:28,680 --> 00:08:32,040 Speaker 1: really going to be become the divider among the winners 153 00:08:32,040 --> 00:08:35,800 Speaker 1: and losers here UM, and that you know, the push 154 00:08:35,880 --> 00:08:38,560 Speaker 1: is going to be for creators to to be streamlining 155 00:08:38,640 --> 00:08:44,360 Speaker 1: their components UM rather than really innovating new technology, and 156 00:08:44,360 --> 00:08:47,280 Speaker 1: and that that kind of sucks for everyone. However, I 157 00:08:47,280 --> 00:08:49,439 Speaker 1: do think it's going to be awesome for software because 158 00:08:49,440 --> 00:08:52,280 Speaker 1: more people are going to need to be creating, UM, 159 00:08:52,280 --> 00:08:55,760 Speaker 1: creating programs that make more efficient use of what they 160 00:08:55,800 --> 00:08:57,840 Speaker 1: have to work with. And you know, if you if 161 00:08:57,880 --> 00:09:00,160 Speaker 1: you look at what how Apple has behaved in the 162 00:09:00,240 --> 00:09:04,839 Speaker 1: last quarter of that's not a big you know, that's 163 00:09:04,880 --> 00:09:06,679 Speaker 1: not a big jump from that. You know, you had 164 00:09:06,720 --> 00:09:10,360 Speaker 1: Apple for the first time offering a lower cost version 165 00:09:10,360 --> 00:09:13,240 Speaker 1: of the iPhone at the same time as an updated version, 166 00:09:13,640 --> 00:09:15,840 Speaker 1: you know, out of the gate, not not discounting an 167 00:09:15,840 --> 00:09:18,720 Speaker 1: older model, but rather coming out with a new lower 168 00:09:18,760 --> 00:09:22,120 Speaker 1: price model. UM. So you know, it may very well 169 00:09:22,120 --> 00:09:26,440 Speaker 1: be that they're they're seeing something similar in the future. Yeah, yeah, 170 00:09:26,480 --> 00:09:28,520 Speaker 1: I think that they think that they got scared this year, 171 00:09:28,520 --> 00:09:30,800 Speaker 1: they um you know, they dropped from almost of the 172 00:09:30,800 --> 00:09:34,240 Speaker 1: market share in late back down to um more like 173 00:09:35,000 --> 00:09:38,280 Speaker 1: which was their end of year numbers, and so that's 174 00:09:38,400 --> 00:09:40,600 Speaker 1: you know, yeah, so they're they're kind of hovering around 175 00:09:40,640 --> 00:09:43,000 Speaker 1: the same spot and occasionally seeing a little boost every 176 00:09:43,000 --> 00:09:46,120 Speaker 1: now and then. So my prediction was that, you know, 177 00:09:46,640 --> 00:09:48,400 Speaker 1: I bet I'm going to see a whole bunch of 178 00:09:48,440 --> 00:09:51,880 Speaker 1: smart TVs at c e S when you guys who 179 00:09:51,880 --> 00:09:53,480 Speaker 1: are listening to this, I'll be at c e S 180 00:09:53,600 --> 00:09:57,640 Speaker 1: next week and um from when we're recording this, it 181 00:09:57,640 --> 00:09:59,840 Speaker 1: will be several weeks either way. My feet are all 182 00:10:00,000 --> 00:10:03,679 Speaker 1: a hurting in anticipation. But at any rate, uh, smart 183 00:10:03,679 --> 00:10:05,800 Speaker 1: TVs or something, I expect I'll see a lot of 184 00:10:05,880 --> 00:10:08,440 Speaker 1: We've already seen examples of the plenty of them in 185 00:10:08,440 --> 00:10:10,040 Speaker 1: the past, but we're gonna see it more and more 186 00:10:10,080 --> 00:10:13,520 Speaker 1: of those where the smart television stuff is incorporated directly 187 00:10:13,520 --> 00:10:16,800 Speaker 1: into the TVs. I still don't think it's going to 188 00:10:16,880 --> 00:10:19,520 Speaker 1: really take off, partly because you know, there's not like 189 00:10:19,559 --> 00:10:23,160 Speaker 1: a unified experience out there. Obviously, any particular vendor is 190 00:10:23,160 --> 00:10:25,600 Speaker 1: going to have their own kind of application software, their 191 00:10:25,640 --> 00:10:29,160 Speaker 1: own user interface, and that's going to cause things to 192 00:10:29,240 --> 00:10:31,440 Speaker 1: slow down. It's not gonna be a fast adoption. I 193 00:10:31,520 --> 00:10:34,000 Speaker 1: just don't think, I mean, unless someone has come up 194 00:10:34,000 --> 00:10:38,080 Speaker 1: with a truly innovative approach, I don't think it's going 195 00:10:38,120 --> 00:10:40,120 Speaker 1: to be enough to start selling lots of TV sets. 196 00:10:40,160 --> 00:10:43,040 Speaker 1: I think that things like consoles are going to hold 197 00:10:43,080 --> 00:10:45,720 Speaker 1: that still. You know Xbox one for example. Yeah, yeah, 198 00:10:45,720 --> 00:10:48,800 Speaker 1: there's way too many smart boxes or or media consoles 199 00:10:48,840 --> 00:10:50,400 Speaker 1: that can do this kind of thing. And TVs are 200 00:10:50,440 --> 00:10:53,840 Speaker 1: such a big purchase um for for for most people 201 00:10:53,880 --> 00:10:55,319 Speaker 1: to to make right now, you know, the same way 202 00:10:55,320 --> 00:10:58,360 Speaker 1: that I think that price is going to drive uh 203 00:10:58,480 --> 00:11:01,280 Speaker 1: mobile cells. Yeah, sales, it's going to be kind of 204 00:11:01,320 --> 00:11:03,200 Speaker 1: the same thing. But I'm wondering if such a big 205 00:11:03,240 --> 00:11:06,760 Speaker 1: ticket unitasker is ever going to take off honestly, unless 206 00:11:06,920 --> 00:11:11,400 Speaker 1: companies stop making non smart TVs, right if if Yeah, 207 00:11:11,440 --> 00:11:13,800 Speaker 1: that would be one way forcing everyone to move to it. 208 00:11:13,880 --> 00:11:16,800 Speaker 1: Another way is if you open up your your user 209 00:11:16,840 --> 00:11:19,760 Speaker 1: interface enough so that lots of different types of devices 210 00:11:19,800 --> 00:11:22,440 Speaker 1: can interact with it. Because when you restrict it, you know, 211 00:11:22,520 --> 00:11:24,880 Speaker 1: you forced someone to go into one ecosystem. That's not 212 00:11:24,920 --> 00:11:28,240 Speaker 1: great for the consumer. So my prediction ultimately is that 213 00:11:28,320 --> 00:11:30,360 Speaker 1: by the end of the year, smart TVs on the 214 00:11:30,360 --> 00:11:33,120 Speaker 1: consumer market will not be a huge deal. Like, it 215 00:11:33,160 --> 00:11:35,520 Speaker 1: won't be It won't be an industry that takes off 216 00:11:35,559 --> 00:11:39,559 Speaker 1: like tablets did. Um, and I think it's if they 217 00:11:39,600 --> 00:11:43,200 Speaker 1: are going to take off, it won't be okay. Uh. 218 00:11:43,640 --> 00:11:48,080 Speaker 1: My next hardware related uh prediction is that and and 219 00:11:48,120 --> 00:11:49,880 Speaker 1: actually this is one that both of us had really 220 00:11:49,880 --> 00:11:52,160 Speaker 1: had to be to be entirely fair, um, is that 221 00:11:52,320 --> 00:11:55,480 Speaker 1: fitness trackers are going to really take off. I mean 222 00:11:55,480 --> 00:11:57,559 Speaker 1: not that they not that they have not taken off already, 223 00:11:57,640 --> 00:12:00,959 Speaker 1: but that, um, that the kind of people who are 224 00:12:01,000 --> 00:12:03,880 Speaker 1: not the early adopters of technology, like like like your 225 00:12:03,880 --> 00:12:05,520 Speaker 1: grandma is going to have one of these. Yeah, the 226 00:12:05,559 --> 00:12:08,480 Speaker 1: proliferation of these is going to be insane in fourteen 227 00:12:08,559 --> 00:12:11,720 Speaker 1: is essentially what the prediction is. I agree with that. 228 00:12:11,760 --> 00:12:13,760 Speaker 1: I actually went further and saying that it would be 229 00:12:13,760 --> 00:12:16,920 Speaker 1: wearable computing in general, although I think out of the 230 00:12:17,040 --> 00:12:20,280 Speaker 1: entire wearable computing industry, the fitness trackers are going to 231 00:12:20,320 --> 00:12:22,520 Speaker 1: be the one that take the lead. They They've to me, 232 00:12:22,640 --> 00:12:25,240 Speaker 1: the fitness trackers have done this better than the other 233 00:12:25,280 --> 00:12:27,760 Speaker 1: types of wearable computing, and by that I mean specifically 234 00:12:27,840 --> 00:12:30,920 Speaker 1: smart watches, I mean, and also, fitness trackers have the 235 00:12:30,920 --> 00:12:34,640 Speaker 1: benefit of UM of being able to specialize, whereas I 236 00:12:34,679 --> 00:12:36,959 Speaker 1: think that smart watches are trying to do a lot 237 00:12:37,040 --> 00:12:39,400 Speaker 1: of things, especially for the processor size that they have 238 00:12:39,480 --> 00:12:41,840 Speaker 1: to work with UM. And and also I mean, you 239 00:12:41,840 --> 00:12:43,720 Speaker 1: know you can with with a with a fitness tracker, 240 00:12:43,760 --> 00:12:46,480 Speaker 1: you can really get get it down to to a 241 00:12:46,600 --> 00:12:49,920 Speaker 1: size that it can wear and look like jewelry, which 242 00:12:50,040 --> 00:12:52,360 Speaker 1: is what more people out there. I mean, I mean, 243 00:12:52,400 --> 00:12:54,440 Speaker 1: as much as I do love the the kind of 244 00:12:54,520 --> 00:12:57,560 Speaker 1: quirky eighties design aesthetic of the pebble, that's not something 245 00:12:57,600 --> 00:13:01,000 Speaker 1: that everybody wants to wear. It's not the sleekest of profiles. 246 00:13:01,200 --> 00:13:04,280 Speaker 1: So yeah, I understand, I agree, And so I think 247 00:13:04,400 --> 00:13:06,840 Speaker 1: I think we are going to see a big jump 248 00:13:06,880 --> 00:13:09,360 Speaker 1: I think wearable computers, whereas I think smart TVs are 249 00:13:09,400 --> 00:13:12,480 Speaker 1: not going to be the tablet of I think wearable 250 00:13:12,520 --> 00:13:16,360 Speaker 1: computers are going to be the tablet often. I'm hoping 251 00:13:16,400 --> 00:13:18,560 Speaker 1: that someone is able to make a smart watch that 252 00:13:18,720 --> 00:13:23,080 Speaker 1: really resonates with the general market and not just you know, 253 00:13:23,800 --> 00:13:26,720 Speaker 1: geeky tech guys like me. I would love to see 254 00:13:26,720 --> 00:13:28,480 Speaker 1: that happen. I don't know if it's going to happen, 255 00:13:28,480 --> 00:13:31,200 Speaker 1: But I am pretty confident that wearable computers in general 256 00:13:31,240 --> 00:13:34,400 Speaker 1: are gonna be crazy popular. Yeah, and I don't think 257 00:13:34,520 --> 00:13:37,920 Speaker 1: it's um. Tim Bahran for PC mag was predicting that 258 00:13:37,960 --> 00:13:40,600 Speaker 1: smart watches are going to die in and I think 259 00:13:40,600 --> 00:13:43,920 Speaker 1: that that's way overly pessimistic. Yeah, I mean, I understand 260 00:13:44,000 --> 00:13:45,800 Speaker 1: where that comes from, in the sense that a lot 261 00:13:45,800 --> 00:13:47,400 Speaker 1: of the smart watches that have come out so far 262 00:13:47,559 --> 00:13:51,320 Speaker 1: just haven't really captured imagination. But every time, you know, 263 00:13:51,559 --> 00:13:53,720 Speaker 1: I mean, I've still seen ads where they have the 264 00:13:53,800 --> 00:13:57,840 Speaker 1: Dick Tracy wrist watch in the ad, and I'm thinking, like, 265 00:13:57,880 --> 00:14:00,160 Speaker 1: this is an idea that isn't gonna die. As soon 266 00:14:00,200 --> 00:14:03,360 Speaker 1: as someone figures out how to really tap into it, 267 00:14:03,480 --> 00:14:05,800 Speaker 1: that market takes off. It's just that I don't think 268 00:14:05,800 --> 00:14:10,200 Speaker 1: anyone's created the implementation where everybody wants one. We haven't 269 00:14:10,280 --> 00:14:14,160 Speaker 1: found the iPhone right exactly, That's exactly it. Um. So 270 00:14:14,440 --> 00:14:17,720 Speaker 1: my next prediction is one that I had for twenty 271 00:14:17,960 --> 00:14:21,280 Speaker 1: thirteen that I'm I'm centually saying dido on, which is, 272 00:14:21,320 --> 00:14:25,440 Speaker 1: remember remember when I predicted that in NFC technology wasn't 273 00:14:25,440 --> 00:14:28,040 Speaker 1: really going to go anywhere in the United States? Did over. 274 00:14:29,120 --> 00:14:32,080 Speaker 1: I don't think it's gonna happen. Uh. The technology itself 275 00:14:32,160 --> 00:14:34,760 Speaker 1: is fine, It's just that I don't think anyone is 276 00:14:34,760 --> 00:14:37,760 Speaker 1: ready to adopt it. It's not in enough handsets for 277 00:14:37,840 --> 00:14:41,040 Speaker 1: it to be have a penetration level where vendors are 278 00:14:41,040 --> 00:14:44,120 Speaker 1: going to spend the money to upgrade to get NFC 279 00:14:44,160 --> 00:14:46,720 Speaker 1: technology into theirs. You know, you're gonna see it in places, 280 00:14:46,760 --> 00:14:50,080 Speaker 1: but not it's not gonna be widespread. And Uh. Also, 281 00:14:50,320 --> 00:14:54,200 Speaker 1: I think it's possible that we never see NFC takeoff 282 00:14:54,200 --> 00:14:56,240 Speaker 1: in the United States and instead have to wait for 283 00:14:56,280 --> 00:14:59,880 Speaker 1: some other technology that essentially does the similar thing but 284 00:15:00,080 --> 00:15:03,000 Speaker 1: through a different implementation. So in other words, like NFC 285 00:15:03,120 --> 00:15:04,960 Speaker 1: is just one of those things that could have worked 286 00:15:05,080 --> 00:15:07,040 Speaker 1: had we invested the money in it, but we just 287 00:15:07,200 --> 00:15:10,240 Speaker 1: never did, and then eventually some other technology overtook it, 288 00:15:10,600 --> 00:15:13,120 Speaker 1: and that's what we went with. That's what I'm not 289 00:15:13,160 --> 00:15:15,400 Speaker 1: saying that we're going to get that technology inteen. I 290 00:15:15,440 --> 00:15:18,440 Speaker 1: just don't see NFC going anywhere. Sure, no, I agree, 291 00:15:18,560 --> 00:15:20,720 Speaker 1: and that is basically all that I have. You you 292 00:15:20,840 --> 00:15:23,720 Speaker 1: just said everything that I have to say about it. Um. 293 00:15:23,800 --> 00:15:27,040 Speaker 1: So my next hardware prediction a lot of these are hardware, UM, 294 00:15:27,280 --> 00:15:31,320 Speaker 1: is that the the PC is going to continue its decline. Um, 295 00:15:31,920 --> 00:15:36,000 Speaker 1: you know, as as tablets get get cheaper and more capable, Um, 296 00:15:36,200 --> 00:15:39,160 Speaker 1: the that that that drop off And by PC I 297 00:15:39,160 --> 00:15:42,760 Speaker 1: mean PC and laptop this time. Actually, UM, it's just 298 00:15:42,760 --> 00:15:44,920 Speaker 1: just going to continue to decrease. You know, people are 299 00:15:44,960 --> 00:15:48,080 Speaker 1: going to be holding on to to their heavy duty 300 00:15:48,120 --> 00:15:50,800 Speaker 1: tech like that for longer in an attempt to save 301 00:15:50,800 --> 00:15:52,560 Speaker 1: a little bit more money and turning to some of 302 00:15:52,600 --> 00:15:56,120 Speaker 1: these incredibly cheap mobile devices in order to satisfy some 303 00:15:56,160 --> 00:15:59,240 Speaker 1: of their new gadget cravings. I completely agree. In fact, 304 00:15:59,520 --> 00:16:03,160 Speaker 1: there's a little subnote in our notes where it's almost 305 00:16:03,160 --> 00:16:05,800 Speaker 1: the same wording, where I'm like, yeah, PC sales are 306 00:16:05,840 --> 00:16:10,160 Speaker 1: going to continue to decline in UH, that doesn't necessarily 307 00:16:10,160 --> 00:16:13,520 Speaker 1: mean that every UH computer manufacturer is going to see 308 00:16:13,520 --> 00:16:17,560 Speaker 1: a decline. It's possible that Apple might actually do fairly well. 309 00:16:17,560 --> 00:16:20,359 Speaker 1: And the reason why I say that is that, UH, 310 00:16:20,520 --> 00:16:23,240 Speaker 1: if I'm in a position where I want to buy 311 00:16:23,280 --> 00:16:27,200 Speaker 1: I'm going to invest in a new computer, then I'm 312 00:16:27,240 --> 00:16:29,440 Speaker 1: probably going to try and go for something that's gonna 313 00:16:29,880 --> 00:16:34,160 Speaker 1: that I perceived to be a truly a powerful, high 314 00:16:34,200 --> 00:16:38,360 Speaker 1: quality computer. And whether whether you agree that Apple products 315 00:16:38,440 --> 00:16:41,600 Speaker 1: are that high quality that's the public perception, right or 316 00:16:41,840 --> 00:16:43,800 Speaker 1: you know, at least something comparable. And I think that 317 00:16:43,880 --> 00:16:46,360 Speaker 1: Apple is is a little bit more um user friendly 318 00:16:46,400 --> 00:16:49,080 Speaker 1: than like, I don't know, like like alien ware or 319 00:16:49,080 --> 00:16:51,920 Speaker 1: something like. Well, I certainly have like that aesthetic is 320 00:16:52,040 --> 00:16:55,720 Speaker 1: really appealing. It's it's impossible to deny how appealing that 321 00:16:55,800 --> 00:16:59,560 Speaker 1: their design aesthetic, as Johnny ives is a genius and 322 00:16:59,640 --> 00:17:02,960 Speaker 1: so um, you know, and and again like guys, I'm 323 00:17:03,000 --> 00:17:05,560 Speaker 1: not an Apple fanboy. So before all the people out 324 00:17:05,600 --> 00:17:07,320 Speaker 1: there who want to call me an Apple fan boy 325 00:17:07,400 --> 00:17:10,440 Speaker 1: right in remember this is the same guy who back 326 00:17:10,440 --> 00:17:14,159 Speaker 1: in the day was lambasted on iTunes for having a 327 00:17:14,280 --> 00:17:18,240 Speaker 1: quote anti mac bias. In the quote he still makes 328 00:17:18,280 --> 00:17:20,879 Speaker 1: fun of me for having an iPhone. Sometimes I'm not 329 00:17:20,960 --> 00:17:24,760 Speaker 1: fun of my wife too, so but but yeah, it's this. 330 00:17:24,760 --> 00:17:26,280 Speaker 1: This is backed up by a little bit number. The 331 00:17:26,280 --> 00:17:28,320 Speaker 1: I d C is predicting a six percent to climb 332 00:17:28,320 --> 00:17:30,560 Speaker 1: in PC sales next year, which is better than this 333 00:17:30,640 --> 00:17:32,639 Speaker 1: year's ten percent to climb in piece of sales. So 334 00:17:32,680 --> 00:17:34,960 Speaker 1: it's gonna be declining, but not as quickly. Yeah, so 335 00:17:35,160 --> 00:17:37,800 Speaker 1: that's good news. Um, But they're also predicting the worldwide 336 00:17:37,800 --> 00:17:41,360 Speaker 1: tablet sales will grow by eighteen percent, in smartphones by 337 00:17:41,480 --> 00:17:44,800 Speaker 1: a twelve percent. Right. I don't think that two for 338 00:17:44,960 --> 00:17:47,600 Speaker 1: one devices are going to save laptops either. There are 339 00:17:47,640 --> 00:17:49,800 Speaker 1: several that we've seen in the past where it's a 340 00:17:49,800 --> 00:17:52,399 Speaker 1: tablet that can convert to a laptop or vice versa. 341 00:17:52,760 --> 00:17:55,119 Speaker 1: I don't necessarily think that those are going to be 342 00:17:55,160 --> 00:17:57,960 Speaker 1: a huge hit, mostly because their price point tends to 343 00:17:58,000 --> 00:18:00,159 Speaker 1: be higher than what a tablet on its own would be. 344 00:18:00,640 --> 00:18:03,679 Speaker 1: And going back to your price versus quality type argument, 345 00:18:03,680 --> 00:18:06,760 Speaker 1: even if you were to demonstrably prove that the two 346 00:18:06,800 --> 00:18:09,800 Speaker 1: and one is a better quality machine, I think a 347 00:18:09,800 --> 00:18:11,239 Speaker 1: lot of people will be like, yeah, I just don't need, 348 00:18:11,280 --> 00:18:14,080 Speaker 1: don't care. Yeah. Um and and actually this this wasn't 349 00:18:14,119 --> 00:18:16,479 Speaker 1: recorded in the notes that we shared earlier, but if 350 00:18:16,520 --> 00:18:19,480 Speaker 1: I can make a very bold related prediction to all 351 00:18:19,520 --> 00:18:21,840 Speaker 1: of this, um, I think that Windows is going to 352 00:18:21,880 --> 00:18:26,880 Speaker 1: get shunted out of the tablet market. I cannot imagine 353 00:18:26,920 --> 00:18:31,000 Speaker 1: what they could possibly do to attract enough developers. Yeah, 354 00:18:31,040 --> 00:18:33,800 Speaker 1: I mean, at this point, they would have to have 355 00:18:34,359 --> 00:18:37,560 Speaker 1: a lot of other manufacturers buy into the Windows eight 356 00:18:37,640 --> 00:18:41,720 Speaker 1: operating system. Because the surface just hasn't done it. The 357 00:18:41,760 --> 00:18:46,320 Speaker 1: surface has not really performed very well in the market 358 00:18:46,400 --> 00:18:49,200 Speaker 1: compared to other tablets. And it's not that, you know, 359 00:18:49,240 --> 00:18:52,280 Speaker 1: the surface is a bad product, it just hasn't caught on. Yeah. 360 00:18:52,800 --> 00:18:54,480 Speaker 1: Uh you know, I think the Windows eight is part 361 00:18:54,520 --> 00:18:56,720 Speaker 1: of that problem. But I'll talk more about that in 362 00:18:56,800 --> 00:19:00,640 Speaker 1: a minute. So going on to another where this might 363 00:19:00,640 --> 00:19:03,160 Speaker 1: sound a little weird for it to be a hardware thing, 364 00:19:03,240 --> 00:19:05,000 Speaker 1: but it kind of fits in. We didn't have a 365 00:19:05,040 --> 00:19:08,800 Speaker 1: category that fit in better, so we put it in here. Uh. 366 00:19:08,840 --> 00:19:10,480 Speaker 1: I said that we're going to see a lot more 367 00:19:10,520 --> 00:19:15,320 Speaker 1: autonomous car technology incorporated into the models of cars that 368 00:19:15,359 --> 00:19:17,720 Speaker 1: are coming out this year. We're gonna see a lot 369 00:19:17,720 --> 00:19:21,520 Speaker 1: more of that, things like collision detection, parking assistance, that 370 00:19:21,600 --> 00:19:25,600 Speaker 1: sort of stuff, lane assistance, but we will not see 371 00:19:25,640 --> 00:19:29,679 Speaker 1: a fully autonomous car on the consumer market. Absolutely not. 372 00:19:29,720 --> 00:19:32,359 Speaker 1: Now I completely agree with this one. Everyone's talking like 373 00:19:32,480 --> 00:19:35,720 Speaker 1: ten years for a completely autonomous car and um and 374 00:19:35,760 --> 00:19:38,119 Speaker 1: you know, even though we've already got cool stuff like 375 00:19:38,119 --> 00:19:41,000 Speaker 1: like Mercedes has a steering assist which uses a radar 376 00:19:41,119 --> 00:19:44,440 Speaker 1: to detect the speed of traffic around you, and stereoscopic 377 00:19:44,480 --> 00:19:47,199 Speaker 1: cameras mounted in front of the windshields were mirror that 378 00:19:47,240 --> 00:19:50,480 Speaker 1: monitor your position within a lane. Um, and and we'll 379 00:19:50,560 --> 00:19:52,320 Speaker 1: kind of beep angrily at you if you if you 380 00:19:52,359 --> 00:19:53,680 Speaker 1: move out of it. I mean that that kind of 381 00:19:53,720 --> 00:19:56,920 Speaker 1: stuff is is amazing and really cool and helps with 382 00:19:56,920 --> 00:19:59,280 Speaker 1: with safety standards and all of that is beautiful. But 383 00:20:00,520 --> 00:20:02,159 Speaker 1: and I do think that that kind of like you 384 00:20:02,200 --> 00:20:06,000 Speaker 1: were saying, yeah, line is going to see incorporation of 385 00:20:06,040 --> 00:20:07,600 Speaker 1: a lot more of those kind of things, and a 386 00:20:07,600 --> 00:20:12,200 Speaker 1: lot more less than Mercedes Class kind of sure. Yeah, 387 00:20:12,280 --> 00:20:14,680 Speaker 1: I mean, like you know, Toyota was working on all 388 00:20:14,720 --> 00:20:17,640 Speaker 1: this stuff where it be a collision detection for pedestrians, 389 00:20:17,680 --> 00:20:19,879 Speaker 1: like what the pedestrian is crossing the street that the 390 00:20:19,880 --> 00:20:22,800 Speaker 1: car itself could detect and even slam on the brakes 391 00:20:22,880 --> 00:20:27,040 Speaker 1: without you having having even noticed yet. So that sort 392 00:20:27,040 --> 00:20:29,720 Speaker 1: of thing. I can see that kind of stuff being incorporated. Again, 393 00:20:29,840 --> 00:20:33,400 Speaker 1: not fully autonomous car, but a lot of these these 394 00:20:33,520 --> 00:20:36,560 Speaker 1: various pieces that are necessary for an autonomous car to 395 00:20:36,600 --> 00:20:41,159 Speaker 1: work will be incorporated into more and more cars. Um 396 00:20:41,160 --> 00:20:44,440 Speaker 1: Our next note is gaming hardware, um the PS four 397 00:20:44,560 --> 00:20:47,600 Speaker 1: versus the Xbox One. And I'm sorry, we you you're 398 00:20:47,640 --> 00:20:50,600 Speaker 1: just not even in this equation right now, um, But 399 00:20:51,200 --> 00:20:52,960 Speaker 1: you know, it's it's really hard to make a prediction 400 00:20:53,000 --> 00:20:55,560 Speaker 1: on this one because Microsoft is being squirrely about their 401 00:20:55,640 --> 00:20:58,080 Speaker 1: numbers as of this recording, and there aren't a lot 402 00:20:58,119 --> 00:21:01,199 Speaker 1: of compelling games for either cons all right now, so 403 00:21:01,359 --> 00:21:04,880 Speaker 1: far the sales seem about equivalent. Um. But but I'm 404 00:21:04,880 --> 00:21:07,400 Speaker 1: going to go ahead and predict that I think that Xbox, 405 00:21:07,400 --> 00:21:12,840 Speaker 1: with its kind of family media center, uh, is going 406 00:21:12,960 --> 00:21:15,640 Speaker 1: to wind up being the winner of this game. It's 407 00:21:15,680 --> 00:21:18,840 Speaker 1: it's interesting because this is a strategy we've seen incorporated 408 00:21:18,920 --> 00:21:21,080 Speaker 1: over and over, and it might be that we're finally 409 00:21:21,119 --> 00:21:24,240 Speaker 1: at the point where it will work. Because if you remember, 410 00:21:24,280 --> 00:21:26,440 Speaker 1: all the way back in the three d O days, 411 00:21:26,480 --> 00:21:29,280 Speaker 1: I mean we're telling the nineties, we had companies coming 412 00:21:29,280 --> 00:21:31,080 Speaker 1: out with gaming consoles that were meant to be the 413 00:21:31,240 --> 00:21:35,720 Speaker 1: entertainment center, but they were so expensive and so I 414 00:21:35,720 --> 00:21:40,720 Speaker 1: mean just poorly executed. Yeah, they were mishandled on multiple ends. 415 00:21:40,760 --> 00:21:44,000 Speaker 1: They were badly marketed. They had some terrible games with 416 00:21:44,080 --> 00:21:47,240 Speaker 1: lots of full motion video and them for no reason. Um. 417 00:21:47,280 --> 00:21:49,560 Speaker 1: But anyway, and we might finally be at the point 418 00:21:49,600 --> 00:21:52,200 Speaker 1: where all of that doesn't matter and and this could 419 00:21:52,240 --> 00:21:55,560 Speaker 1: actually take off. I you know, I don't know. I'm wondering. 420 00:21:55,600 --> 00:21:57,439 Speaker 1: I think personally, if I'm going to make a prediction. 421 00:21:57,480 --> 00:22:00,920 Speaker 1: I'll say that by the end of fourteen, uh, the 422 00:22:01,080 --> 00:22:03,919 Speaker 1: PS four and Xbox one will be more or less 423 00:22:03,960 --> 00:22:07,199 Speaker 1: on equal footing, assuming that they get the titles that 424 00:22:07,280 --> 00:22:08,960 Speaker 1: they want to get. I assume they're going to be 425 00:22:09,000 --> 00:22:11,840 Speaker 1: more or less in equal footing. Um, and that to 426 00:22:11,960 --> 00:22:15,679 Speaker 1: see a true leader in that space is going to 427 00:22:15,720 --> 00:22:18,760 Speaker 1: probably require more like three or four years. Wow. Yeah, no, 428 00:22:18,960 --> 00:22:20,639 Speaker 1: that's that's fair. I mean, and I do think that 429 00:22:20,680 --> 00:22:22,439 Speaker 1: the PS four is going to be more successful with 430 00:22:22,480 --> 00:22:25,439 Speaker 1: gamers because from what I've heard so far, it seems 431 00:22:25,440 --> 00:22:29,120 Speaker 1: like they've got a much better developer lineup. Oh yeah, 432 00:22:29,119 --> 00:22:33,440 Speaker 1: they cater to gamers, and they also cater to independent developers, yeah, 433 00:22:33,480 --> 00:22:36,200 Speaker 1: which which I think is is going to really help 434 00:22:36,280 --> 00:22:38,080 Speaker 1: them out. And I mean, I mean help them make 435 00:22:38,080 --> 00:22:41,639 Speaker 1: a name for themselves within the rest of the independent 436 00:22:41,680 --> 00:22:44,960 Speaker 1: console sector and and and hopefully I mean for them 437 00:22:45,040 --> 00:22:47,919 Speaker 1: from the point of of of Sony beat out some 438 00:22:47,960 --> 00:22:52,280 Speaker 1: of those smaller right. They also finally made a controller 439 00:22:52,359 --> 00:22:56,480 Speaker 1: that doesn't make my hands cry after five minutes of 440 00:22:56,520 --> 00:22:59,640 Speaker 1: playing the you know, The Last of Us or something crazy. 441 00:23:00,720 --> 00:23:03,080 Speaker 1: Thank goodness, thank you Sony for finally coming out with 442 00:23:03,080 --> 00:23:06,520 Speaker 1: a dual shock that I can play alright, so, um, 443 00:23:07,000 --> 00:23:10,040 Speaker 1: let's see my My last one in our hardware category 444 00:23:10,880 --> 00:23:12,480 Speaker 1: is that I think we're going to see a lot 445 00:23:12,480 --> 00:23:15,919 Speaker 1: of low energy Bluetooth beacon type technology. Now, this is 446 00:23:16,280 --> 00:23:19,879 Speaker 1: a specific type of Bluetooth that requires very little power 447 00:23:19,880 --> 00:23:23,040 Speaker 1: to operate. Uh And if you were to create a whole, 448 00:23:23,240 --> 00:23:26,080 Speaker 1: uh say, network of these beacons in a small area, 449 00:23:26,400 --> 00:23:29,960 Speaker 1: you could broadcast information across that entire area, but you're 450 00:23:30,000 --> 00:23:32,320 Speaker 1: not consuming a lot of power to do so. Yeah. Yeah, 451 00:23:32,320 --> 00:23:35,560 Speaker 1: you can put these things out of strategic locations around, um, 452 00:23:35,640 --> 00:23:39,320 Speaker 1: a shopping center or a sports arena or so. Let's 453 00:23:39,359 --> 00:23:43,040 Speaker 1: say that you are you are at some event and 454 00:23:43,119 --> 00:23:46,040 Speaker 1: it's an event. It's almost like a second screen experience, right, 455 00:23:46,119 --> 00:23:49,200 Speaker 1: like the idea of being home watching a television show 456 00:23:49,200 --> 00:23:51,200 Speaker 1: and having a laptop open so you can find out 457 00:23:51,400 --> 00:23:53,760 Speaker 1: what else that guy has been in because you recognize 458 00:23:53,800 --> 00:23:55,639 Speaker 1: that guy, but you don't know what that guy's name is. 459 00:23:56,200 --> 00:23:59,000 Speaker 1: Do I do that with everything I watch? Me too? Everyone? 460 00:23:59,119 --> 00:24:02,080 Speaker 1: Does you think you're unique? No? We all do that. 461 00:24:02,880 --> 00:24:07,639 Speaker 1: Stop kidding yourself anyway. Um, yeah, they the idea here, 462 00:24:07,680 --> 00:24:10,879 Speaker 1: well one idea, one implementation, it's just one. Is that 463 00:24:10,960 --> 00:24:13,280 Speaker 1: you could put this and say like a sporting arena, 464 00:24:13,400 --> 00:24:16,440 Speaker 1: and when there's a sports event, of which I am 465 00:24:16,480 --> 00:24:20,200 Speaker 1: told there are many and some of them are popular, uh, 466 00:24:20,240 --> 00:24:25,840 Speaker 1: and you are are made of some kind of leather. 467 00:24:26,000 --> 00:24:30,000 Speaker 1: I'm pretty sure that you can hit a hail Mary 468 00:24:30,160 --> 00:24:34,000 Speaker 1: pass in a basketball park. One of them is an 469 00:24:34,000 --> 00:24:38,320 Speaker 1: oblong spheroid. Yes, anyway, there. You know, if you're a 470 00:24:38,320 --> 00:24:41,000 Speaker 1: sports fan or you know a sports fan, you probably 471 00:24:41,400 --> 00:24:44,960 Speaker 1: know someone who has this kind of uh fandom where 472 00:24:45,000 --> 00:24:48,280 Speaker 1: they love the statistics of the game. And so this 473 00:24:48,359 --> 00:24:50,760 Speaker 1: could be something where you're at a sporting event, you 474 00:24:50,840 --> 00:24:52,840 Speaker 1: opt in, you turn on your phone, you opt in 475 00:24:52,840 --> 00:24:56,600 Speaker 1: into this network, and it feeds you real time information 476 00:24:56,680 --> 00:24:59,199 Speaker 1: that pertains to the event you are at. So if 477 00:24:59,200 --> 00:25:01,760 Speaker 1: you're at a football game and stuff is going on 478 00:25:01,760 --> 00:25:04,680 Speaker 1: on the field, you'll get updates about what's happening. You 479 00:25:04,760 --> 00:25:07,560 Speaker 1: might even get updates to players statistics, which could be 480 00:25:07,600 --> 00:25:11,680 Speaker 1: important if you're a fantasy football player. And it's kind 481 00:25:11,720 --> 00:25:16,320 Speaker 1: of an interesting way of creating a more rich experience 482 00:25:16,760 --> 00:25:20,040 Speaker 1: for real life locations. It kind of taps into the 483 00:25:20,080 --> 00:25:22,800 Speaker 1: Internet of Things concept a little bit, but only in 484 00:25:22,840 --> 00:25:26,520 Speaker 1: a It's it's really a one way communication from what 485 00:25:26,600 --> 00:25:29,360 Speaker 1: I've seen, like it's broadcast out, not a communication two 486 00:25:29,359 --> 00:25:31,520 Speaker 1: way things. Yeah, I I've heard the example that in 487 00:25:31,600 --> 00:25:34,240 Speaker 1: stores it could, um, it could push coupons to your 488 00:25:34,240 --> 00:25:37,040 Speaker 1: phone for you or something like that. So yeah, if 489 00:25:37,080 --> 00:25:39,720 Speaker 1: you if you're someone who's like this sounds awful, then 490 00:25:39,800 --> 00:25:42,680 Speaker 1: I would suggest not installing any apps that would interface 491 00:25:42,720 --> 00:25:45,760 Speaker 1: with that. Sounds completely awful to me. I I personally 492 00:25:45,880 --> 00:25:49,280 Speaker 1: don't need my my smartphone to to have its battery 493 00:25:49,359 --> 00:25:52,199 Speaker 1: drained by a little bluetooth pings by anything. And I 494 00:25:52,240 --> 00:25:55,760 Speaker 1: need all the things, and I'm perfectly comfortable getting my 495 00:25:55,800 --> 00:26:00,480 Speaker 1: coupons from email like our ancestors intended. I tried to, 496 00:26:00,640 --> 00:26:02,159 Speaker 1: but my wife hates it when I cut up our 497 00:26:02,200 --> 00:26:05,600 Speaker 1: computer screens. All right, So that wraps up our our 498 00:26:05,720 --> 00:26:08,200 Speaker 1: section on hardware. We've got some more predictions, but before 499 00:26:08,200 --> 00:26:10,199 Speaker 1: we get into those, let's take a quick break to 500 00:26:10,280 --> 00:26:14,199 Speaker 1: thank our sponsor. Alright, So now we're moving on to software, 501 00:26:14,280 --> 00:26:17,719 Speaker 1: and my first prediction is that we are going to 502 00:26:17,760 --> 00:26:22,480 Speaker 1: see data collection um technology. You know, we've already seen 503 00:26:22,480 --> 00:26:25,359 Speaker 1: it in those fitness trackers right where you get real 504 00:26:25,440 --> 00:26:28,080 Speaker 1: time information about what your body is doing while you 505 00:26:28,119 --> 00:26:31,199 Speaker 1: are exercising, like heart rate and how many calories it 506 00:26:31,320 --> 00:26:34,119 Speaker 1: estimates that you're burning off. That kind of stuff. I 507 00:26:34,240 --> 00:26:37,280 Speaker 1: see that extending to all sorts of different types of 508 00:26:37,320 --> 00:26:40,159 Speaker 1: technology and in feeding the information back to us in 509 00:26:40,240 --> 00:26:44,120 Speaker 1: easily digestible ways, whether it's in charts and graphs or 510 00:26:44,240 --> 00:26:46,720 Speaker 1: or some sort of running tally. And so we're gonna 511 00:26:46,760 --> 00:26:50,359 Speaker 1: see more and more of our lives turn quantifiable. By that, 512 00:26:50,400 --> 00:26:52,640 Speaker 1: I mean, you'll see it in things like car technology, 513 00:26:52,680 --> 00:26:55,960 Speaker 1: where it will keep a track on your fuel consumption 514 00:26:55,960 --> 00:26:58,359 Speaker 1: on your average drive. Things like that where you know 515 00:26:58,400 --> 00:27:00,960 Speaker 1: you might notice like, huh, it's year because I drove 516 00:27:00,960 --> 00:27:03,440 Speaker 1: to work, you know, four times this week, and one 517 00:27:03,520 --> 00:27:06,159 Speaker 1: day I did a lot of you know, apparently I 518 00:27:06,200 --> 00:27:07,919 Speaker 1: consumed a lot more gas than I would did on 519 00:27:07,920 --> 00:27:10,240 Speaker 1: the other days. What happened? That kind of thing. That's 520 00:27:10,280 --> 00:27:11,600 Speaker 1: the sort of stuff I think we're going to see 521 00:27:11,600 --> 00:27:13,280 Speaker 1: a lot more of where we're going to be able 522 00:27:13,320 --> 00:27:17,439 Speaker 1: to analyze our lives on this sort of mathematical level. 523 00:27:17,680 --> 00:27:20,159 Speaker 1: And uh, part of me thinks that's really cool, and 524 00:27:20,160 --> 00:27:23,000 Speaker 1: part of me things like it sounds exhausting. No, that 525 00:27:23,000 --> 00:27:25,359 Speaker 1: that sounds like exactly the kind of incredible future that 526 00:27:25,359 --> 00:27:27,560 Speaker 1: I'm looking forward to. I I am a little bit 527 00:27:27,560 --> 00:27:31,080 Speaker 1: pessimistic that that's going to be out for anything other 528 00:27:31,119 --> 00:27:35,240 Speaker 1: than like extreme early adopters. Yeah, I might not be. 529 00:27:35,480 --> 00:27:37,919 Speaker 1: It might not be that we'll see a lot of 530 00:27:38,600 --> 00:27:41,040 Speaker 1: adoption this year, but I think we're going to see 531 00:27:41,040 --> 00:27:43,359 Speaker 1: a lot of examples. In fact that when I go 532 00:27:43,440 --> 00:27:45,240 Speaker 1: to C E S, I would be shocked if I 533 00:27:45,280 --> 00:27:48,480 Speaker 1: don't see a lot of examples of this cool. UM. 534 00:27:48,520 --> 00:27:52,359 Speaker 1: I think uh kind of relatedly to that, UM that 535 00:27:52,359 --> 00:27:56,040 Speaker 1: that that our our transition to the cloud is nearly complete, 536 00:27:56,200 --> 00:27:59,080 Speaker 1: and that um other service providers than Amazon are going 537 00:27:59,160 --> 00:28:01,280 Speaker 1: to go really big, right, and this is this is 538 00:28:01,320 --> 00:28:05,160 Speaker 1: part of that entire um you know, mobile device popularity 539 00:28:05,240 --> 00:28:06,919 Speaker 1: thing that I think is is going to be happening. 540 00:28:06,920 --> 00:28:08,639 Speaker 1: You know, where we're going to be looking for for 541 00:28:08,680 --> 00:28:12,960 Speaker 1: more software, more services, more software as a service, and um, 542 00:28:13,000 --> 00:28:16,200 Speaker 1: more sinking tech and not caring as as much about 543 00:28:16,760 --> 00:28:20,040 Speaker 1: about big device purchases and uh and and you know, 544 00:28:20,119 --> 00:28:23,240 Speaker 1: therefore all of these kind of infrastructure systems are going 545 00:28:23,280 --> 00:28:25,520 Speaker 1: to be growing up a lot more. Yeah. So here's 546 00:28:25,520 --> 00:28:29,600 Speaker 1: an example, a practical example that pertains to me. I 547 00:28:29,760 --> 00:28:33,800 Speaker 1: use a password manager that I can install on multiple machines, 548 00:28:34,080 --> 00:28:37,960 Speaker 1: and the passwords are you know, I've got this whole 549 00:28:38,000 --> 00:28:41,760 Speaker 1: cloud based system where if I log into any one 550 00:28:42,000 --> 00:28:45,080 Speaker 1: of those machines and then decide to change my password, 551 00:28:45,520 --> 00:28:47,360 Speaker 1: I do it through the system. When I log onto 552 00:28:47,360 --> 00:28:50,680 Speaker 1: my next machine, it will update, and then I'll have 553 00:28:50,920 --> 00:28:53,080 Speaker 1: access to all those passwords, even though I changed it 554 00:28:53,160 --> 00:28:55,880 Speaker 1: on a completely different one. That's a simple example of 555 00:28:55,960 --> 00:28:59,600 Speaker 1: something that you're talking about propagating across multiple industries, and 556 00:28:59,640 --> 00:29:02,120 Speaker 1: we've already seeing examples of this too, things like you know, 557 00:29:02,200 --> 00:29:04,840 Speaker 1: Google Drive is a great example of how it's not 558 00:29:04,880 --> 00:29:08,200 Speaker 1: just cloud we're talking about as entire enterprises are moving 559 00:29:08,240 --> 00:29:10,520 Speaker 1: to that. That's when we're talking about truly big data. 560 00:29:10,600 --> 00:29:14,280 Speaker 1: We're talking about massive amounts of information that's being generated 561 00:29:14,280 --> 00:29:17,160 Speaker 1: and it has to live somewhere and be accessible and 562 00:29:17,240 --> 00:29:20,320 Speaker 1: be understandable, right right, Yeah, the the I d C 563 00:29:20,480 --> 00:29:22,440 Speaker 1: is predicting that the cloud is going to drive a 564 00:29:22,560 --> 00:29:29,160 Speaker 1: hundred billion dollars worth of spending up over including the 565 00:29:29,320 --> 00:29:31,680 Speaker 1: kind of hardware that cloud service providers are going to 566 00:29:31,720 --> 00:29:33,880 Speaker 1: need in order to keep up with this demand. Yeah. Now, 567 00:29:34,080 --> 00:29:36,600 Speaker 1: one of my predictions is that because we're seeing big 568 00:29:36,680 --> 00:29:40,920 Speaker 1: data gets so important, that there is an incredible job 569 00:29:40,960 --> 00:29:44,760 Speaker 1: opportunity out there for people all right, So if if 570 00:29:44,760 --> 00:29:46,760 Speaker 1: you're really good with numbers, and if you're really good 571 00:29:46,760 --> 00:29:50,120 Speaker 1: at parsing information and understanding what's important when you're looking 572 00:29:50,160 --> 00:29:53,800 Speaker 1: at huge sets of data, and you're also artistic and 573 00:29:53,880 --> 00:29:57,360 Speaker 1: able to put that in a way that's visually accessible, 574 00:29:58,040 --> 00:30:00,160 Speaker 1: this is the year for you, my friend, because as 575 00:30:00,280 --> 00:30:02,960 Speaker 1: data visualization is going to take off, when you're talking 576 00:30:02,960 --> 00:30:06,080 Speaker 1: about data sets that are that large, it's really hard 577 00:30:06,120 --> 00:30:08,480 Speaker 1: for the average person to get a grasp on what 578 00:30:08,680 --> 00:30:10,920 Speaker 1: is going on. But if you're able to make like 579 00:30:10,960 --> 00:30:15,160 Speaker 1: a simple series of charts or other graphics that explain 580 00:30:15,320 --> 00:30:19,080 Speaker 1: the concept in a way that just latches onto a 581 00:30:19,120 --> 00:30:22,880 Speaker 1: person's brain, then you are going to have no shortage 582 00:30:22,880 --> 00:30:26,680 Speaker 1: of clients in fourteen. Yeah, yeah, I completely agree. And 583 00:30:26,760 --> 00:30:29,840 Speaker 1: and my my kind of related tag on prediction to that. 584 00:30:29,840 --> 00:30:31,280 Speaker 1: This is again one of the ones that we both 585 00:30:31,320 --> 00:30:33,520 Speaker 1: pretty much agreed on out of the gate, is that 586 00:30:33,600 --> 00:30:35,680 Speaker 1: the big data is going to be named the sexiest 587 00:30:35,720 --> 00:30:37,920 Speaker 1: tech of the year. Um and I have a snarky 588 00:30:38,000 --> 00:30:40,920 Speaker 1: quote from Geeka System about this. They they they said 589 00:30:40,960 --> 00:30:44,360 Speaker 1: the Harvard Business Review, a noted authority on things that 590 00:30:44,400 --> 00:30:47,480 Speaker 1: are sexy, has declared data scientists to be the sexiest 591 00:30:47,480 --> 00:30:50,560 Speaker 1: career of the twenty one century. Um, but no, seriously, guys, 592 00:30:50,640 --> 00:30:53,840 Speaker 1: I mean it's it's we we still haven't made really scalable, 593 00:30:53,920 --> 00:30:57,320 Speaker 1: sellable ways to process all of the data that we 594 00:30:57,360 --> 00:31:01,200 Speaker 1: are increasingly creating and collecting. And it's a lot, and 595 00:31:01,240 --> 00:31:03,360 Speaker 1: it's it's gonna be it's gonna be hot. Yeah, I 596 00:31:03,360 --> 00:31:07,560 Speaker 1: mean you're it's there's no way we could actually exaggerate 597 00:31:07,600 --> 00:31:11,200 Speaker 1: how big it's gonna be, right, Um, no way at all, 598 00:31:11,360 --> 00:31:12,880 Speaker 1: not at all. I mean we could sit here for 599 00:31:12,920 --> 00:31:15,960 Speaker 1: a billion years and say nothing but Big Dad is 600 00:31:15,960 --> 00:31:17,840 Speaker 1: the most important thing that ever existed ever and even 601 00:31:17,880 --> 00:31:20,120 Speaker 1: the Okay, maybe then we can take Big Dada all 602 00:31:20,120 --> 00:31:23,800 Speaker 1: the way with the hyper Bowl. Now I'm gonna hiss exactly, 603 00:31:24,520 --> 00:31:26,920 Speaker 1: I'm going to. I'm going to. However, I'm gonna take 604 00:31:27,000 --> 00:31:31,280 Speaker 1: issue with one thing. Uh. I think if you're talking 605 00:31:31,280 --> 00:31:34,280 Speaker 1: about Harvard, the sexiest thing out of Harvard is Harvard Lampoon. 606 00:31:34,640 --> 00:31:41,520 Speaker 1: So I'm just saying lampoon friends to the sexy. Alright, Okay, Um, 607 00:31:41,600 --> 00:31:45,160 Speaker 1: I've got one more one more software note and I 608 00:31:45,280 --> 00:31:47,200 Speaker 1: kind of sort of already made it a little bit. 609 00:31:47,240 --> 00:31:50,080 Speaker 1: But um, I don't think that Windows eight is going 610 00:31:50,120 --> 00:31:54,400 Speaker 1: to make it yet, Sad Trombone. Windows sevens share of 611 00:31:54,400 --> 00:32:00,120 Speaker 1: the market as of right now is about of the 612 00:32:00,160 --> 00:32:03,040 Speaker 1: top os. Um, it's still it's still on the rise. 613 00:32:03,160 --> 00:32:06,120 Speaker 1: So what what's Windows XP? If I might be so bold, 614 00:32:06,120 --> 00:32:10,760 Speaker 1: do you have that? I bet it's still pretty high. Um, 615 00:32:10,760 --> 00:32:13,520 Speaker 1: but but Windows eight has leveled off as a Q 616 00:32:13,720 --> 00:32:18,040 Speaker 1: three and it's still under ten percent. And you know 617 00:32:18,080 --> 00:32:20,800 Speaker 1: they've recently update the Windows eight point one, but it's 618 00:32:20,840 --> 00:32:23,880 Speaker 1: still I mean, yeah, all right, well then let's move 619 00:32:23,920 --> 00:32:25,960 Speaker 1: on to the next category. This one only has one entry. 620 00:32:26,000 --> 00:32:27,760 Speaker 1: This is one that I came up with them and 621 00:32:27,840 --> 00:32:29,680 Speaker 1: we just couldn't figure out where else to put it, 622 00:32:29,760 --> 00:32:31,920 Speaker 1: so we called policy. Yeah. And also, I mean it's 623 00:32:31,920 --> 00:32:33,960 Speaker 1: a big enough single entry that I think that that's 624 00:32:34,000 --> 00:32:36,280 Speaker 1: a fair point. Yeah. So I said that the United 625 00:32:36,280 --> 00:32:39,040 Speaker 1: States government is forced to re examine the n S 626 00:32:39,120 --> 00:32:42,960 Speaker 1: as policies. But even though they are forced to do 627 00:32:43,000 --> 00:32:45,080 Speaker 1: it like that, you know, there are members of Congress 628 00:32:45,080 --> 00:32:48,920 Speaker 1: who are very much adamant about let's let's bring this 629 00:32:49,040 --> 00:32:51,440 Speaker 1: to light and really talk about it. Yeah, because because 630 00:32:51,440 --> 00:32:53,720 Speaker 1: some of our policymakers are just as freaked out as 631 00:32:53,760 --> 00:32:56,160 Speaker 1: we are about all of this n S. A prism stuff, 632 00:32:56,320 --> 00:32:59,360 Speaker 1: even keeping in mind that it looks like the majority 633 00:32:59,400 --> 00:33:04,160 Speaker 1: of America still really don't either care or know about it. 634 00:33:04,200 --> 00:33:07,480 Speaker 1: I don't know anyway, as though it's wildly complicated and 635 00:33:07,680 --> 00:33:12,280 Speaker 1: severely misunderstood by the press themselves. Maybe so I think 636 00:33:12,280 --> 00:33:14,440 Speaker 1: that the government is going to have to address this 637 00:33:14,520 --> 00:33:17,920 Speaker 1: inteen in some way. However, I also think it's not 638 00:33:18,040 --> 00:33:21,720 Speaker 1: effectively going to change how things are actually happening. So 639 00:33:21,880 --> 00:33:27,320 Speaker 1: even if the the outcome of this, you know, policy 640 00:33:27,400 --> 00:33:30,920 Speaker 1: discussion ends up being, uh, you know, we've got to 641 00:33:31,000 --> 00:33:34,680 Speaker 1: stop this, I don't think we're going to stop this. Yeah. Meanwhile, 642 00:33:34,720 --> 00:33:37,520 Speaker 1: and relatedly, I do think that although there I agree 643 00:33:37,520 --> 00:33:39,360 Speaker 1: with you that there's not gonna be any movement within 644 00:33:39,560 --> 00:33:41,440 Speaker 1: the US government on this kind of thing. I think 645 00:33:41,440 --> 00:33:45,080 Speaker 1: that UM personal incorporate encryption industries are probably going to 646 00:33:45,160 --> 00:33:49,520 Speaker 1: get a boost um all things D reported that Google, Yahoo, 647 00:33:49,560 --> 00:33:52,440 Speaker 1: and Microsoft are already beefing up their efforts, and right 648 00:33:52,480 --> 00:33:54,120 Speaker 1: I think I think that that's I think it's going 649 00:33:54,200 --> 00:33:58,080 Speaker 1: to turn a large consumer trend towards being more cautious. 650 00:33:58,240 --> 00:34:00,080 Speaker 1: I think a lot of these larger companies too. You 651 00:34:00,120 --> 00:34:03,720 Speaker 1: are also a big reason why we will see something 652 00:34:03,840 --> 00:34:07,120 Speaker 1: happening in the US government because you've got them demanding 653 00:34:07,160 --> 00:34:10,480 Speaker 1: not just maybe it's not the the US population, but 654 00:34:10,600 --> 00:34:14,160 Speaker 1: some of the biggest companies that also happened to be um, 655 00:34:14,200 --> 00:34:18,920 Speaker 1: you know, campaign contributors are making a fuss. Yeah. Um. 656 00:34:18,920 --> 00:34:21,919 Speaker 1: In in digital finance, I think that we are going 657 00:34:21,960 --> 00:34:25,080 Speaker 1: to see a lot more mobile money management. I think 658 00:34:25,080 --> 00:34:27,040 Speaker 1: that people are really starting to lose their fear of 659 00:34:27,080 --> 00:34:30,160 Speaker 1: taking their money digital. Um. You know, I'm talking about 660 00:34:30,200 --> 00:34:32,440 Speaker 1: like a rise in the use of bitcoins, um, and 661 00:34:32,480 --> 00:34:35,759 Speaker 1: through stuff like coin base, which just had a had 662 00:34:35,800 --> 00:34:39,879 Speaker 1: a twenty five million dollar investment through Inder sine Horrowitz 663 00:34:40,400 --> 00:34:44,920 Speaker 1: and um uh you know, like a rizon in square usage, 664 00:34:45,000 --> 00:34:48,000 Speaker 1: the debut of digital all in one cards like one coin. 665 00:34:48,600 --> 00:34:50,680 Speaker 1: I think that this kind of stuff is is going 666 00:34:50,719 --> 00:34:56,640 Speaker 1: to be really big. Wow. Okay, yeah, I can see that. However, um, 667 00:34:56,760 --> 00:35:00,480 Speaker 1: what do you think about bitcoin specifically, Lauren? Um. I 668 00:35:00,520 --> 00:35:03,319 Speaker 1: think I think that bubble is gonna burst. Um it's 669 00:35:03,320 --> 00:35:06,520 Speaker 1: done it before, and it certainly has. I mean, okay, 670 00:35:06,560 --> 00:35:09,880 Speaker 1: so so it went from like twelve to thirteen bucks 671 00:35:09,960 --> 00:35:16,239 Speaker 1: per coin at the beginning of two more and right 672 00:35:16,239 --> 00:35:18,759 Speaker 1: now it's it's background like a thousand bucks per coin, 673 00:35:18,880 --> 00:35:22,040 Speaker 1: but that kind of pricing just is not sustainable. Um, 674 00:35:22,080 --> 00:35:25,000 Speaker 1: and I think it's going to fluctuate wildly. Yeah, it's 675 00:35:25,320 --> 00:35:27,279 Speaker 1: it's again one of those things where it's not just 676 00:35:27,360 --> 00:35:31,480 Speaker 1: the confidence in the currency itself, it's lots of complicated factors. 677 00:35:31,560 --> 00:35:33,600 Speaker 1: And I won't go into my full rent again because 678 00:35:33,600 --> 00:35:35,680 Speaker 1: I just did it about five minutes ago, even though 679 00:35:35,719 --> 00:35:38,960 Speaker 1: for you guys it might have been last week. So anyway, 680 00:35:39,400 --> 00:35:41,680 Speaker 1: if you really want to hear my rent, listen to 681 00:35:41,680 --> 00:35:43,960 Speaker 1: our two thousand thirteen year in wrap up, and I 682 00:35:44,080 --> 00:35:45,879 Speaker 1: pretty much did it, then yeah, I mean, I don't 683 00:35:45,880 --> 00:35:47,160 Speaker 1: think it's going to plumb it all the way back 684 00:35:47,160 --> 00:35:49,440 Speaker 1: down to twelve or thirteen bucks necessarily unless it's on 685 00:35:49,480 --> 00:35:51,839 Speaker 1: a on a one off. But so I guess now 686 00:35:51,880 --> 00:35:54,240 Speaker 1: we have to move on to corporate news, and this 687 00:35:54,239 --> 00:35:57,920 Speaker 1: this is the Jonathan Show right here, so um, just 688 00:35:58,000 --> 00:36:01,680 Speaker 1: really quickly now, as of the drying this podcast, Microsoft 689 00:36:01,760 --> 00:36:05,279 Speaker 1: does not have a new CEO. Balmer has retired, but 690 00:36:05,320 --> 00:36:08,640 Speaker 1: he's still acting CEO while they try and find a replacement, 691 00:36:09,040 --> 00:36:11,280 Speaker 1: and they have not done that as of the recording 692 00:36:11,280 --> 00:36:14,160 Speaker 1: of this podcast. If that changes before the new year, 693 00:36:14,200 --> 00:36:16,880 Speaker 1: then obviously this is a moot point. But what I 694 00:36:17,239 --> 00:36:19,360 Speaker 1: actually it kind of still holds because I said that 695 00:36:19,400 --> 00:36:22,759 Speaker 1: the new CEO of Microsoft will at best be an 696 00:36:22,760 --> 00:36:26,759 Speaker 1: effective leader, but not an innovator in the sense that 697 00:36:26,840 --> 00:36:28,440 Speaker 1: you know, when I look at the candidates that are 698 00:36:28,480 --> 00:36:31,920 Speaker 1: being mentioned, I'm seeing people who have proven their ability 699 00:36:31,960 --> 00:36:35,720 Speaker 1: to lead large, complicated companies. But don't see anyone who's 700 00:36:35,719 --> 00:36:38,759 Speaker 1: going to lead Microsoft in a new direction that makes 701 00:36:38,800 --> 00:36:42,440 Speaker 1: it the name in some industry that it hasn't already 702 00:36:42,480 --> 00:36:45,880 Speaker 1: played a part in or even regained the control of 703 00:36:45,920 --> 00:36:48,520 Speaker 1: an industry where it once reigned supreme. But now is 704 00:36:48,880 --> 00:36:51,879 Speaker 1: you know, fighting for market share. Yeah, the the really 705 00:36:51,920 --> 00:36:54,320 Speaker 1: big name right now and the running is Forward CEO 706 00:36:54,480 --> 00:36:59,480 Speaker 1: s Um Forwards CEO Alan Malally Malally who uh you know. 707 00:37:00,480 --> 00:37:03,440 Speaker 1: As of the recording of this podcast, Ford wants to 708 00:37:03,680 --> 00:37:08,359 Speaker 1: nail down Malali. In fact, I think tomorrow on again, 709 00:37:08,400 --> 00:37:10,719 Speaker 1: December twelve is when we're recording this. I think on 710 00:37:10,760 --> 00:37:13,719 Speaker 1: the thirteenth is when Ford has demanded that they talked 711 00:37:13,760 --> 00:37:16,960 Speaker 1: to Malally and have Malali give them a straight up answer. 712 00:37:17,040 --> 00:37:19,799 Speaker 1: Are you being courted to? Like? Are you just are 713 00:37:19,840 --> 00:37:23,799 Speaker 1: you considering becoming the Microsoft CEO? Oh? At the very least, 714 00:37:23,840 --> 00:37:25,600 Speaker 1: I mean, even if it winds up and if he 715 00:37:25,719 --> 00:37:27,520 Speaker 1: if he winds up not being the first choice. I 716 00:37:27,520 --> 00:37:29,440 Speaker 1: do think it would be very savvy of them to 717 00:37:29,560 --> 00:37:32,239 Speaker 1: hire that kind of that kind of charismatic stop gap 718 00:37:32,280 --> 00:37:34,960 Speaker 1: who can sort of work within Microsoft to train a 719 00:37:35,040 --> 00:37:39,200 Speaker 1: successor who's more fulfilled, familiar with the industry and um 720 00:37:39,200 --> 00:37:41,279 Speaker 1: and the inner workings at the company. So I think, 721 00:37:41,360 --> 00:37:43,040 Speaker 1: I think, you know, it may even be whether it's 722 00:37:43,080 --> 00:37:45,400 Speaker 1: Malali or someone else. I believe that even if they 723 00:37:45,440 --> 00:37:48,200 Speaker 1: get a truly effective leader, they won't be they won't 724 00:37:48,200 --> 00:37:51,960 Speaker 1: become a true innovator in their space. They might they 725 00:37:52,040 --> 00:37:54,279 Speaker 1: might be able to stop some hemorrhaging in a couple 726 00:37:54,280 --> 00:37:56,080 Speaker 1: of yearsions, I think they've got a lot of recovery 727 00:37:56,120 --> 00:37:58,279 Speaker 1: to Yeah, they do. And uh and so I think 728 00:37:58,320 --> 00:38:00,840 Speaker 1: now that's the best case scenario. The first case scenarios 729 00:38:00,880 --> 00:38:03,080 Speaker 1: they end up with someone who's who also is not 730 00:38:03,160 --> 00:38:05,840 Speaker 1: an effective leader on top of not being an innovator. 731 00:38:06,200 --> 00:38:09,200 Speaker 1: So I hope, and I'm saying all this, I hope 732 00:38:09,239 --> 00:38:12,600 Speaker 1: that I hope I'm wrong about this. I hope that 733 00:38:12,800 --> 00:38:16,440 Speaker 1: whomever Microsoft ends up getting as the new CEO is 734 00:38:16,440 --> 00:38:20,359 Speaker 1: able to lead Microsoft onto new greater heights. Because we're 735 00:38:20,360 --> 00:38:23,040 Speaker 1: gonna benefit from a company that does well. We don't 736 00:38:23,080 --> 00:38:26,080 Speaker 1: benefit from companies that don't do well. Yeah, especially that 737 00:38:26,160 --> 00:38:29,040 Speaker 1: someone as big as Microsoft. That's never a good thing. 738 00:38:29,160 --> 00:38:32,240 Speaker 1: So so, so don't get me wrong, I'm not saying 739 00:38:32,280 --> 00:38:35,120 Speaker 1: like down with Microsoft. I want to see them succeed, 740 00:38:35,440 --> 00:38:38,560 Speaker 1: all right. Next, I have that Google finally figures out 741 00:38:38,600 --> 00:38:42,840 Speaker 1: what it's doing with Motorola Mobile. Be about time they bondit. Uh. 742 00:38:43,000 --> 00:38:45,319 Speaker 1: They said that they weren't going to use it as 743 00:38:45,360 --> 00:38:48,600 Speaker 1: a means of creating exclusive hardware. They said they didn't 744 00:38:48,600 --> 00:38:50,320 Speaker 1: want to do that, they didn't want to give preferential 745 00:38:50,360 --> 00:38:52,799 Speaker 1: treatment to it. But they haven't really done much with 746 00:38:52,880 --> 00:38:55,080 Speaker 1: it at all. So one of the things I think 747 00:38:55,200 --> 00:38:58,960 Speaker 1: is possible is they might spin off Motorola as an 748 00:38:59,040 --> 00:39:02,759 Speaker 1: independent company that still has direct ties to Google that 749 00:39:02,840 --> 00:39:07,160 Speaker 1: will create Android based hardware for Google and become kind 750 00:39:07,160 --> 00:39:10,399 Speaker 1: of like a manufacturing arm, but that they are not, 751 00:39:10,680 --> 00:39:13,319 Speaker 1: you know, under the direct Google umbrella. They'll be their 752 00:39:13,360 --> 00:39:16,960 Speaker 1: own little independent entity. I think that's a possibility. So 753 00:39:17,000 --> 00:39:18,919 Speaker 1: I think that that would make that would make perfect sense. 754 00:39:18,960 --> 00:39:21,120 Speaker 1: There we go. Yeah, so that wraps up all of 755 00:39:21,160 --> 00:39:28,799 Speaker 1: my predictions and now we wait months and see how 756 00:39:28,880 --> 00:39:31,960 Speaker 1: wrong we were, Yeah, Well, you know, we've been batting 757 00:39:31,960 --> 00:39:35,200 Speaker 1: pretty well. I think it's not. You were very hard 758 00:39:35,200 --> 00:39:37,000 Speaker 1: on yourself when we did our wrap up, but I 759 00:39:37,000 --> 00:39:39,000 Speaker 1: think you did much better than you were getting think. 760 00:39:39,040 --> 00:39:40,799 Speaker 1: I think I was fair, but I still I still 761 00:39:40,840 --> 00:39:44,200 Speaker 1: accumulated many squids, So I feel pretty okay about that's true. 762 00:39:44,239 --> 00:39:46,839 Speaker 1: We are we are squid rich right now. We don't 763 00:39:46,880 --> 00:39:51,440 Speaker 1: have any kind of squid flow in this office is amazing. 764 00:39:52,120 --> 00:39:56,080 Speaker 1: My my squid cooin account is just overflowing. Yeah, So 765 00:39:56,760 --> 00:39:59,840 Speaker 1: while we go and do a Scrooge McDuck dive in 766 00:40:00,000 --> 00:40:03,040 Speaker 1: to our giant vet of squid, I want to remind 767 00:40:03,080 --> 00:40:05,040 Speaker 1: all of you that it's a new year. But you 768 00:40:05,080 --> 00:40:08,400 Speaker 1: can still contact us the old way. That's by sending 769 00:40:08,440 --> 00:40:11,279 Speaker 1: us an email. All adds is tech stuff at Discovery 770 00:40:11,360 --> 00:40:13,640 Speaker 1: dot com, or you can always drop us a line 771 00:40:13,640 --> 00:40:15,960 Speaker 1: on one of the many social media platforms that we 772 00:40:16,040 --> 00:40:20,080 Speaker 1: happen to hang out on that includes Facebook, includes Twitter, 773 00:40:20,120 --> 00:40:22,880 Speaker 1: includes Tumbler. Just look for tech stuff H S. W 774 00:40:23,480 --> 00:40:25,440 Speaker 1: and Lauren and I will talk to you again really 775 00:40:25,480 --> 00:40:30,720 Speaker 1: soon for more on this and bousands of other topics. 776 00:40:30,840 --> 00:40:32,279 Speaker 1: Does it have staff works dot com