1 00:00:00,600 --> 00:00:03,120 Speaker 1: Decrypted is brought to you by red Hat, whose broad 2 00:00:03,160 --> 00:00:06,520 Speaker 1: portfolio of open source technologies for the enterprise helps you 3 00:00:06,559 --> 00:00:08,760 Speaker 1: get from where you are to where you want to be. 4 00:00:09,560 --> 00:00:12,879 Speaker 1: Red Hat the open technology to help you realize your vision. 5 00:00:13,320 --> 00:00:16,079 Speaker 1: Learn more at red hat dot com slash open tech. 6 00:00:17,320 --> 00:00:20,480 Speaker 1: Back in two thousand five, Jen Patty was a senior 7 00:00:20,600 --> 00:00:24,360 Speaker 1: designer at Apple. Her career was taking off, but like 8 00:00:24,480 --> 00:00:27,160 Speaker 1: a lot of us and sedentary office jobs, she was 9 00:00:27,200 --> 00:00:30,360 Speaker 1: struggling with her weight. It was a lot of anxiety 10 00:00:30,400 --> 00:00:33,560 Speaker 1: and depression and eating meals in my car and drinking 11 00:00:33,600 --> 00:00:37,360 Speaker 1: a lot, and uh driving a hunt, sitting a lot, 12 00:00:37,479 --> 00:00:40,400 Speaker 1: and working a lot. And I got to a point 13 00:00:40,440 --> 00:00:42,720 Speaker 1: where I knew I needed to make a change, but 14 00:00:42,800 --> 00:00:45,560 Speaker 1: I didn't know what to do because it was so overwhelming. 15 00:00:46,080 --> 00:00:49,239 Speaker 1: For years, Jenna tried a bunch of things. Eventually, she 16 00:00:49,320 --> 00:00:53,159 Speaker 1: committed to seeing a personal trainer every single week, and 17 00:00:53,200 --> 00:00:56,440 Speaker 1: it worked. She lost thirty pounds over the course of 18 00:00:56,480 --> 00:00:59,120 Speaker 1: a year. She was so thrilled that she ended up 19 00:00:59,200 --> 00:01:03,240 Speaker 1: quitting her high paying job and became a personal trainer herself. Today, 20 00:01:03,360 --> 00:01:06,080 Speaker 1: Jen is forty five years old and she is the 21 00:01:06,120 --> 00:01:15,160 Speaker 1: fittest person I've ever met. Now, this is the tape 22 00:01:15,160 --> 00:01:18,240 Speaker 1: of you on a recent afternoon, basically getting your butt 23 00:01:18,319 --> 00:01:21,720 Speaker 1: kicked by Jim. It's great. I've been training with Jen 24 00:01:21,920 --> 00:01:24,839 Speaker 1: over the last two months, and she is really good 25 00:01:24,880 --> 00:01:27,560 Speaker 1: at her job and gets paid a lot for her expertise. 26 00:01:27,800 --> 00:01:31,480 Speaker 1: She charges her clients a hundred seventy dollars procession. But 27 00:01:31,560 --> 00:01:34,160 Speaker 1: in the decades since Jen has been honing her skills 28 00:01:34,480 --> 00:01:36,920 Speaker 1: the tech industry she left has also been hard at 29 00:01:36,959 --> 00:01:40,720 Speaker 1: work trying to automate away small slices of her specialty, 30 00:01:40,840 --> 00:01:44,480 Speaker 1: which is getting people fit. Most of these products so 31 00:01:44,520 --> 00:01:47,480 Speaker 1: far have been a flop, but there's a new generation 32 00:01:47,520 --> 00:01:51,160 Speaker 1: of devices just coming to the market now that don't 33 00:01:51,200 --> 00:01:54,640 Speaker 1: just track your steps or your calories. They actually tell 34 00:01:54,680 --> 00:01:57,160 Speaker 1: you what to do in real time, the way Jen 35 00:01:57,280 --> 00:02:00,480 Speaker 1: has been doing with me. Jen thinks a compute could 36 00:02:00,520 --> 00:02:03,760 Speaker 1: never do her job, but after taking these gadgets out 37 00:02:03,760 --> 00:02:06,560 Speaker 1: for spin, I'm not so sure that Jen's career is 38 00:02:06,600 --> 00:02:19,280 Speaker 1: as robot proof as she thinks. Hi am Akito and 39 00:02:19,320 --> 00:02:23,880 Speaker 1: I'm brad Stone and this weeknd Decrypted. We have seventeen gadgets, 40 00:02:24,040 --> 00:02:27,040 Speaker 1: one Elite personal trainer, and two months for me to 41 00:02:27,080 --> 00:02:30,600 Speaker 1: see which is better, the human or the machine. It's 42 00:02:30,639 --> 00:02:34,280 Speaker 1: a competition that has big implications for the wearables industry 43 00:02:34,320 --> 00:02:37,880 Speaker 1: that's estimated to become a thirty four billion dollar market 44 00:02:37,919 --> 00:02:41,079 Speaker 1: by as well as the more than twenty thousand people 45 00:02:41,120 --> 00:02:44,240 Speaker 1: employed as trainers in the U S alone. This will 46 00:02:44,280 --> 00:02:47,160 Speaker 1: be the second episode in our series exploring the risk 47 00:02:47,240 --> 00:02:51,360 Speaker 1: that automation replaces our jobs. Tell us your stories, record 48 00:02:51,400 --> 00:02:54,280 Speaker 1: a voice message and send it to decrypted at Bloomberg 49 00:02:54,440 --> 00:02:57,400 Speaker 1: dot net and stay with us. I'll be discussing some 50 00:02:57,440 --> 00:03:00,959 Speaker 1: of the more interesting devices I tested, including a set 51 00:03:01,000 --> 00:03:04,200 Speaker 1: of heart rate sense and earbuds, emotion Sense and clip, 52 00:03:04,600 --> 00:03:07,880 Speaker 1: a chess trap, and a risk based activity tracker. At 53 00:03:07,919 --> 00:03:09,840 Speaker 1: the end of the show, I'll be sharing the gadget 54 00:03:09,880 --> 00:03:17,000 Speaker 1: I recommend the most. So to start today's show, I 55 00:03:17,000 --> 00:03:18,880 Speaker 1: want to go back a little bit too. When I 56 00:03:18,919 --> 00:03:21,640 Speaker 1: first met my wife Emily two years ago. Here we 57 00:03:21,680 --> 00:03:28,040 Speaker 1: go again, when we got married in January, and over 58 00:03:28,080 --> 00:03:30,480 Speaker 1: the course of our relationship, like a lot of people 59 00:03:30,520 --> 00:03:34,560 Speaker 1: who settle into long term relationships, I gradually stopped exercising 60 00:03:34,560 --> 00:03:37,360 Speaker 1: as much as I used to. In March, I realized 61 00:03:37,400 --> 00:03:40,040 Speaker 1: that I was about nine pounds heavier than when I 62 00:03:40,080 --> 00:03:42,800 Speaker 1: was single, and at my lean nest and you blame 63 00:03:42,840 --> 00:03:45,640 Speaker 1: your wife for this. Well, here's how I explained it 64 00:03:45,680 --> 00:03:48,160 Speaker 1: to Jen when I first met her. And why do 65 00:03:48,200 --> 00:03:50,839 Speaker 1: you think about is? I mean, I think a lot 66 00:03:50,880 --> 00:03:53,680 Speaker 1: of it is because I don't have this like existential 67 00:03:53,720 --> 00:03:57,600 Speaker 1: threat of never reading anyone, you know. And I think 68 00:03:57,600 --> 00:04:00,800 Speaker 1: back when I was single, I I just like there 69 00:04:00,880 --> 00:04:04,040 Speaker 1: was much a much bigger priority for me to stay 70 00:04:04,160 --> 00:04:06,840 Speaker 1: under a certain way and look a certain way. And 71 00:04:08,000 --> 00:04:10,920 Speaker 1: now I'm married, so I guess I don't care anymore. 72 00:04:11,640 --> 00:04:14,400 Speaker 1: So after I came to this realization in March, being 73 00:04:14,440 --> 00:04:18,320 Speaker 1: the diligent technology journalists that I am, the first thing 74 00:04:18,360 --> 00:04:24,359 Speaker 1: I turned to was obviously technology. I went into this 75 00:04:24,440 --> 00:04:27,320 Speaker 1: with plenty of skepticism, since I've had a lot of 76 00:04:27,360 --> 00:04:31,359 Speaker 1: disappointing experiences with wearables before. Yeah, I myself have a 77 00:04:31,520 --> 00:04:34,840 Speaker 1: robust collection of smart watches and fitness trackers that now 78 00:04:34,880 --> 00:04:38,239 Speaker 1: do a great job monitoring the dust levels and various 79 00:04:38,320 --> 00:04:41,719 Speaker 1: dust Yeah, I've had one or two fit bits before 80 00:04:41,839 --> 00:04:45,040 Speaker 1: to um and a GPS watch and even the super 81 00:04:45,040 --> 00:04:47,640 Speaker 1: Bulky Watch a couple of years back that tracked how 82 00:04:47,720 --> 00:04:51,159 Speaker 1: much I was sweating, and all of them generated these 83 00:04:51,240 --> 00:04:53,960 Speaker 1: really cool charts. But it was the same story over 84 00:04:54,000 --> 00:04:56,520 Speaker 1: and over again of ending up with all this data 85 00:04:56,520 --> 00:04:58,760 Speaker 1: and not really knowing what to do with it. They 86 00:04:58,800 --> 00:05:00,880 Speaker 1: didn't tell me what I should do, you how I 87 00:05:00,880 --> 00:05:03,680 Speaker 1: should change the way I lived my life, So I 88 00:05:03,680 --> 00:05:06,000 Speaker 1: guess I stopped using them after a few weeks. And yet, 89 00:05:06,040 --> 00:05:08,520 Speaker 1: knowing all of this, knowing that you were probably going 90 00:05:08,560 --> 00:05:11,840 Speaker 1: to be disappointed again, you still gave these gadgets another 91 00:05:11,880 --> 00:05:15,240 Speaker 1: girl I did. I did, and as I did my research, 92 00:05:15,320 --> 00:05:18,680 Speaker 1: I was intrigued because there was something different in the 93 00:05:18,720 --> 00:05:22,200 Speaker 1: way that these new devices were being marketed. So these 94 00:05:22,240 --> 00:05:25,279 Speaker 1: devices are not just giving you data, they're actually coaching 95 00:05:25,320 --> 00:05:28,159 Speaker 1: you through an exercise, right, And that made me wonder 96 00:05:28,360 --> 00:05:30,680 Speaker 1: whether they were just as good as the real thing, 97 00:05:30,920 --> 00:05:33,760 Speaker 1: just as good as having a human personal trainer. And 98 00:05:33,800 --> 00:05:40,440 Speaker 1: that's how I came to meet Jen Patty. Hey, that's good, good, 99 00:05:40,520 --> 00:05:43,279 Speaker 1: how are you for our first session? Jen came to 100 00:05:43,320 --> 00:05:46,280 Speaker 1: meet me at our office in downtown San Francisco, and 101 00:05:46,720 --> 00:05:49,680 Speaker 1: I was pretty nervous, which you can probably tell from 102 00:05:49,680 --> 00:05:53,719 Speaker 1: how high pitched my voice got. She's five eleven hundred 103 00:05:53,800 --> 00:05:56,480 Speaker 1: sixty pounds and at the time I didn't know that 104 00:05:56,520 --> 00:06:00,120 Speaker 1: she competes in these crazy one hundred mile races in 105 00:06:00,160 --> 00:06:04,680 Speaker 1: the mountains for fun. I immediately got intimidated and regretted 106 00:06:04,720 --> 00:06:07,960 Speaker 1: what I got myself into. Okay, so today we're gonna 107 00:06:08,040 --> 00:06:11,440 Speaker 1: do some basic assessments to see where you're starting from 108 00:06:11,480 --> 00:06:13,480 Speaker 1: and your fitness, and then we're also going to talk 109 00:06:13,480 --> 00:06:15,480 Speaker 1: about your goals where you want to end up from 110 00:06:15,520 --> 00:06:17,839 Speaker 1: when we're done with our sessions together, and then I'll 111 00:06:17,839 --> 00:06:20,159 Speaker 1: help um you put a training plan like a road 112 00:06:20,200 --> 00:06:23,239 Speaker 1: math together. So how did it go? I was sore 113 00:06:23,320 --> 00:06:30,559 Speaker 1: for days? So what did Jen think about this little 114 00:06:30,600 --> 00:06:34,320 Speaker 1: experiment you are running pitting her against these machines. I 115 00:06:34,400 --> 00:06:37,200 Speaker 1: was a little nervous because I thought she might find 116 00:06:37,320 --> 00:06:40,760 Speaker 1: insulting or something. But Jen loved it. She really seemed 117 00:06:40,800 --> 00:06:44,000 Speaker 1: to relish in this competition. Like this time. She started 118 00:06:44,080 --> 00:06:46,440 Speaker 1: chatting up these two photographers at the end of one 119 00:06:46,440 --> 00:06:53,880 Speaker 1: of our runs. What's the podcast? I read a tech 120 00:06:53,960 --> 00:06:59,000 Speaker 1: podcast called Decrypted from bloom Brake, and I'm pitting her 121 00:06:59,400 --> 00:07:02,680 Speaker 1: Gen's up her Seal trainer against a bunch of new 122 00:07:02,800 --> 00:07:07,880 Speaker 1: fitness gadgets. I'm winning that proclaimed to be AI personal 123 00:07:08,000 --> 00:07:19,240 Speaker 1: coaches experience not as good or as attractive as I am. 124 00:07:19,280 --> 00:07:22,160 Speaker 1: And Jen has been so confident in her value as 125 00:07:22,160 --> 00:07:26,120 Speaker 1: a personal trainer. So confident that technology would never replace 126 00:07:26,160 --> 00:07:30,120 Speaker 1: her job that she's even helped design these exercise videos 127 00:07:30,160 --> 00:07:33,320 Speaker 1: on an app from Fitbit called fit Star. And that's 128 00:07:33,360 --> 00:07:37,000 Speaker 1: an interesting choice for someone whose livelihood depends on people 129 00:07:37,280 --> 00:07:39,840 Speaker 1: needing to come see her to get fit. Do you 130 00:07:39,960 --> 00:07:43,840 Speaker 1: ever stop and think, why am I automating away my job? 131 00:07:44,240 --> 00:07:46,560 Speaker 1: It was in the back of my head, But again, 132 00:07:46,720 --> 00:07:49,880 Speaker 1: like why am I doing my job? I care about health, 133 00:07:50,480 --> 00:07:52,040 Speaker 1: So I'm doing my job because I want to make 134 00:07:52,040 --> 00:07:54,840 Speaker 1: everybody healthier. Like I can't pick up all the starfishes 135 00:07:54,880 --> 00:07:57,320 Speaker 1: off the beach. I can only help one or two. 136 00:07:58,120 --> 00:08:01,600 Speaker 1: And making fitness more excess bowl for more people. That's 137 00:08:01,600 --> 00:08:05,160 Speaker 1: something she really cares about because she knows most people 138 00:08:05,280 --> 00:08:08,280 Speaker 1: can't afford to spend hundreds of dollars on a trainer 139 00:08:08,320 --> 00:08:11,960 Speaker 1: every month. She's still working with some clients on the side, 140 00:08:12,080 --> 00:08:14,920 Speaker 1: and she made time for me for the story, but 141 00:08:15,280 --> 00:08:18,200 Speaker 1: these days she's spending most of her energy building a 142 00:08:18,240 --> 00:08:21,640 Speaker 1: startup that designs these public spaces where people can work 143 00:08:21,680 --> 00:08:24,840 Speaker 1: out for free, kind of like these jungle gyms for adults. 144 00:08:25,200 --> 00:08:28,160 Speaker 1: So Jens sounds smart here. Even though technology is starting 145 00:08:28,160 --> 00:08:31,400 Speaker 1: to encroach into her former career, as a personal trainer. 146 00:08:31,480 --> 00:08:34,160 Speaker 1: She is moving on to a new career. Yeah, although 147 00:08:34,240 --> 00:08:36,840 Speaker 1: she just kept laughing it off when I pressed her 148 00:08:36,840 --> 00:08:40,480 Speaker 1: about this possibility of AI personal trainers living up to 149 00:08:40,520 --> 00:08:44,120 Speaker 1: their promise. So you see how these guyshets coming into 150 00:08:44,120 --> 00:08:47,839 Speaker 1: the market and you don't feel threatened. No, I mean, 151 00:08:47,880 --> 00:08:51,640 Speaker 1: I'm excited. Trainers want to see people out there exercising. 152 00:08:52,160 --> 00:08:54,240 Speaker 1: So whatever is getting people off the couch. And I'm 153 00:08:54,280 --> 00:08:57,720 Speaker 1: pretty sure any trainer you interview will say this, anything 154 00:08:57,720 --> 00:09:00,200 Speaker 1: that gets people off the couch, we're excited about out. 155 00:09:00,800 --> 00:09:03,200 Speaker 1: Do you talk about this with your friends who are 156 00:09:03,240 --> 00:09:05,800 Speaker 1: trainers to about some of the gadgets that are coming 157 00:09:05,960 --> 00:09:08,480 Speaker 1: we lack it. Yeah, why do you laugh? Tell me 158 00:09:08,520 --> 00:09:11,480 Speaker 1: why you laugh? Because we can tell you pretty accurately 159 00:09:11,520 --> 00:09:13,120 Speaker 1: when you're when you're not going to be wearing that 160 00:09:13,200 --> 00:09:15,720 Speaker 1: fit bit anymore. Okay, when you're gonna stop using it, 161 00:09:15,760 --> 00:09:17,240 Speaker 1: and we can tell you how it's going to fail, 162 00:09:17,960 --> 00:09:21,280 Speaker 1: and then we just we laugh. Yeah, tell me tell 163 00:09:21,280 --> 00:09:24,920 Speaker 1: me more. We just know when that thing is when 164 00:09:24,960 --> 00:09:28,440 Speaker 1: you're going to get bored of it. We know that 165 00:09:28,880 --> 00:09:31,800 Speaker 1: something that helps you track what you're eating, that's if 166 00:09:31,840 --> 00:09:36,560 Speaker 1: you're not motivated intrinsically well, look at what the trends 167 00:09:36,640 --> 00:09:40,480 Speaker 1: we see today, like what are millennials spending their money 168 00:09:40,480 --> 00:09:44,440 Speaker 1: and resources on experiences? Right? So that's something that we 169 00:09:44,480 --> 00:09:48,640 Speaker 1: share with another human being. The more tech that comes 170 00:09:48,640 --> 00:09:51,840 Speaker 1: into our life, the more we seem to value in 171 00:09:51,920 --> 00:09:57,400 Speaker 1: person human experiences. As I continue to meet up with Jen, 172 00:09:57,679 --> 00:10:01,120 Speaker 1: more companies sent me review copies of their areous devices. 173 00:10:01,760 --> 00:10:04,960 Speaker 1: I love gadgets, and this was like Christmas for me, 174 00:10:05,480 --> 00:10:09,000 Speaker 1: although my wife wasn't very happy with all the boxes 175 00:10:09,040 --> 00:10:11,719 Speaker 1: and the cords that were piling up in our bedroom, 176 00:10:11,800 --> 00:10:14,680 Speaker 1: and she said, I looked pretty ridiculous each time I 177 00:10:14,720 --> 00:10:24,000 Speaker 1: went running wearing one of these gadgets. Stop, he looks psychotic. 178 00:10:25,760 --> 00:10:30,720 Speaker 1: What do you think You've never looked cuter? What? What 179 00:10:30,840 --> 00:10:36,440 Speaker 1: is this? So? This is my what band, This is 180 00:10:36,480 --> 00:10:39,640 Speaker 1: my Polar running watch, this is my fifthit, this is 181 00:10:39,720 --> 00:10:44,640 Speaker 1: my Atlas strength training watch, and this is my move 182 00:10:44,800 --> 00:10:50,160 Speaker 1: activity tracker. And then this is this is that I 183 00:10:50,240 --> 00:10:54,120 Speaker 1: hate that thing. Now. I'm not going to go over 184 00:10:54,240 --> 00:10:58,000 Speaker 1: all seventeen devices that I tested for the story today, 185 00:10:58,040 --> 00:11:00,400 Speaker 1: but one of the first devices that him in the 186 00:11:00,440 --> 00:11:04,640 Speaker 1: mail was a Bluetooth connected headset called v that connects 187 00:11:04,679 --> 00:11:08,040 Speaker 1: to an app and it's specifically made for runners. This 188 00:11:08,120 --> 00:11:12,160 Speaker 1: headset has a special technology inside the earbud that detects 189 00:11:12,160 --> 00:11:14,480 Speaker 1: your heart rate. Oh my god, I've learned something today. 190 00:11:14,520 --> 00:11:16,880 Speaker 1: I really had no idea that you could detect a 191 00:11:17,040 --> 00:11:20,080 Speaker 1: heart rate from someone's ear. Yeah. And what makes it 192 00:11:20,160 --> 00:11:23,520 Speaker 1: really cool, though, is that it uses all that information 193 00:11:23,800 --> 00:11:26,280 Speaker 1: on your heart rate and also your speed to give 194 00:11:26,280 --> 00:11:29,320 Speaker 1: you real time feedback on how you're running. I took 195 00:11:29,320 --> 00:11:31,719 Speaker 1: it out on a three mile run in my neighborhood 196 00:11:31,800 --> 00:11:35,040 Speaker 1: the day it came in the mail. I'm v your 197 00:11:35,040 --> 00:11:39,400 Speaker 1: new personal trainer. I sense your heart rate, your steps, 198 00:11:39,760 --> 00:11:42,559 Speaker 1: and a whole lot of other things a human trainer can't. 199 00:11:43,280 --> 00:11:46,480 Speaker 1: That you just heard is the AI personal trainer that 200 00:11:46,520 --> 00:11:49,240 Speaker 1: talks to you and she chimes in when she wants 201 00:11:49,240 --> 00:11:52,640 Speaker 1: you to push harder. Come on, diet deep, you're about 202 00:11:52,679 --> 00:11:56,120 Speaker 1: to break your and remembers how you did in previous runs. 203 00:11:56,480 --> 00:12:00,080 Speaker 1: Last workout, you got a bit fatigued. I'm only bring 204 00:12:00,080 --> 00:12:02,920 Speaker 1: it up because your body might still be recovering. My 205 00:12:03,000 --> 00:12:05,680 Speaker 1: favorite thing about this is that my name Aki was 206 00:12:05,720 --> 00:12:08,440 Speaker 1: in a preset name in the app, so I had 207 00:12:08,480 --> 00:12:11,480 Speaker 1: to choose a nickname, which led to funny encouragements like 208 00:12:11,520 --> 00:12:16,840 Speaker 1: this nice work. Warrior. Henceforth ye shall be known as Warrior. 209 00:12:17,000 --> 00:12:19,760 Speaker 1: I think I'm retiring the name of Okay, so Warrior, 210 00:12:19,880 --> 00:12:23,520 Speaker 1: what was your verdict? Ultimately, I didn't feel like the 211 00:12:23,720 --> 00:12:27,360 Speaker 1: really pushed me and motivated me to train harder the 212 00:12:27,400 --> 00:12:29,880 Speaker 1: way I really hoped it might. Um, it's a very 213 00:12:29,920 --> 00:12:32,560 Speaker 1: new product and there's still not a whole lot it 214 00:12:32,640 --> 00:12:36,720 Speaker 1: can do, especially for something that costs two hundred fifty dollars. 215 00:12:37,320 --> 00:12:39,000 Speaker 1: So at this point I would call it more of 216 00:12:39,040 --> 00:12:42,360 Speaker 1: a chatty companion to keep you amused through a boring run, 217 00:12:42,400 --> 00:12:44,199 Speaker 1: So you wouldn't call it a coach or a trainer. 218 00:12:44,280 --> 00:12:46,720 Speaker 1: Now I don't think so, Okay. So one point for Jen, 219 00:12:47,160 --> 00:12:51,640 Speaker 1: zero for the machines. Okay, So next up, you tried 220 00:12:51,720 --> 00:12:55,079 Speaker 1: something called the Lumo Run. Yeah. It's a little clip 221 00:12:55,160 --> 00:12:58,320 Speaker 1: installed with motion sensors to clip onto the back of 222 00:12:58,360 --> 00:13:02,400 Speaker 1: your shorts. It costs hundred dollars and appears with an 223 00:13:02,440 --> 00:13:05,480 Speaker 1: app after your runs. It shows you how well you 224 00:13:05,600 --> 00:13:09,320 Speaker 1: fared on five very specific measures of your running form, 225 00:13:09,480 --> 00:13:12,440 Speaker 1: and how did you do well? It told me that 226 00:13:12,480 --> 00:13:15,840 Speaker 1: I scored too high on this measure called your bounce, 227 00:13:16,080 --> 00:13:18,440 Speaker 1: which is how much your body moves up and down 228 00:13:18,480 --> 00:13:21,599 Speaker 1: while you run. And to help me correct that, the 229 00:13:21,640 --> 00:13:24,480 Speaker 1: apple so show me a video of this exercise called 230 00:13:24,600 --> 00:13:28,040 Speaker 1: squat shuffles that's supposed to help me bounce less over time. 231 00:13:28,160 --> 00:13:31,080 Speaker 1: So this was really like having a running coach. Yeah, 232 00:13:31,080 --> 00:13:34,120 Speaker 1: this is actually far more feedback than when I got 233 00:13:34,160 --> 00:13:37,920 Speaker 1: with Jen. Her feedback was just a little bit more generic, like, 234 00:13:38,000 --> 00:13:40,000 Speaker 1: you know, pump up your knees on these hills or 235 00:13:40,080 --> 00:13:43,400 Speaker 1: take smaller steps. So Jen was never this quantitative. No, 236 00:13:43,640 --> 00:13:48,080 Speaker 1: but I should say getting these stats wasn't very motivating, 237 00:13:48,480 --> 00:13:50,720 Speaker 1: and it really look at the app after my runs 238 00:13:50,720 --> 00:13:53,080 Speaker 1: and think like, oh man, I can't wait to go 239 00:13:53,240 --> 00:13:55,880 Speaker 1: my next run to fix my bounce. Okay, so the 240 00:13:55,960 --> 00:13:58,360 Speaker 1: Loomo run not really for you, No, I don't think 241 00:13:58,400 --> 00:14:01,760 Speaker 1: so okay, So one more point for Jen. Still zero 242 00:14:01,840 --> 00:14:07,840 Speaker 1: for the machines. So acky? I mean, Warrior, what is 243 00:14:07,880 --> 00:14:11,120 Speaker 1: the most expensive gadget that you tried? Well, Brad, you 244 00:14:11,160 --> 00:14:15,720 Speaker 1: are a big basketball thing and a lot of NBA stars, 245 00:14:15,760 --> 00:14:19,800 Speaker 1: including DeAndre Jordan's, have been seen wearing this black wristband. 246 00:14:21,040 --> 00:14:23,280 Speaker 1: It has a heart rate monitor on the back of 247 00:14:23,320 --> 00:14:26,560 Speaker 1: the device. It's called the Whoop and they started by 248 00:14:26,840 --> 00:14:30,720 Speaker 1: only selling to professional sports teams at first, but last 249 00:14:30,760 --> 00:14:34,800 Speaker 1: year they started selling to ordinary consumers. To This device 250 00:14:34,880 --> 00:14:40,360 Speaker 1: costs five dollars for this small wristband. Yeah, when you 251 00:14:40,640 --> 00:14:43,880 Speaker 1: look at the hardware, it doesn't really look a whole 252 00:14:43,920 --> 00:14:46,680 Speaker 1: lot different from some of the other activity tracerds that 253 00:14:46,720 --> 00:14:49,840 Speaker 1: I tried um For example, the Fitbit Charged two. I 254 00:14:49,920 --> 00:14:52,480 Speaker 1: tested that too, and it's a wristband with all day 255 00:14:52,520 --> 00:14:55,520 Speaker 1: heart rate monitoring. But what's really cool about the Whoop 256 00:14:55,720 --> 00:14:59,440 Speaker 1: is the software. Unlike the Fitbit, it crunches all the 257 00:14:59,520 --> 00:15:01,880 Speaker 1: data that it collects to give you advice that you 258 00:15:01,920 --> 00:15:05,520 Speaker 1: can actually use, like what give us an example. So, 259 00:15:05,760 --> 00:15:09,400 Speaker 1: one score it calculates is this thing called the recovery score, 260 00:15:09,800 --> 00:15:11,840 Speaker 1: and it shows up on an app that pairs with 261 00:15:11,880 --> 00:15:14,480 Speaker 1: the device first thing in the morning after you wake up. 262 00:15:14,960 --> 00:15:17,320 Speaker 1: It's looking at things like how much sleep you got 263 00:15:17,360 --> 00:15:21,320 Speaker 1: and how much stress your body is currently under using 264 00:15:21,320 --> 00:15:24,720 Speaker 1: this relatively new heart rate metric that's becoming popular in 265 00:15:24,760 --> 00:15:28,360 Speaker 1: sports medicine. And if your score is high, it tells 266 00:15:28,360 --> 00:15:30,720 Speaker 1: you that your body is ready for hard workout for 267 00:15:30,760 --> 00:15:33,680 Speaker 1: the day. But you know, let's say you didn't sleep 268 00:15:33,760 --> 00:15:36,440 Speaker 1: all the night before and your score is low, then 269 00:15:36,640 --> 00:15:39,360 Speaker 1: it'll tell you to take it easy. I'm looking myself 270 00:15:39,400 --> 00:15:41,720 Speaker 1: forward to a low score. But tell me how it 271 00:15:41,760 --> 00:15:45,640 Speaker 1: all competes with the human and the picture. Chin. Well, 272 00:15:45,920 --> 00:15:49,160 Speaker 1: she didn't keep detailed stats on my sleep, but she 273 00:15:49,280 --> 00:15:52,200 Speaker 1: did calibrate or workouts together if she thought I looked 274 00:15:52,240 --> 00:15:54,840 Speaker 1: tired or if she knew that I was still sore 275 00:15:54,880 --> 00:15:58,000 Speaker 1: from previous workout. Okay, so can we score one point 276 00:15:58,000 --> 00:16:01,040 Speaker 1: for the gadget here? I think so, although I do 277 00:16:01,160 --> 00:16:03,400 Speaker 1: have to say this kind of advice on when to 278 00:16:03,520 --> 00:16:06,440 Speaker 1: take it easy isn't really what I needed the most, 279 00:16:06,440 --> 00:16:09,160 Speaker 1: help with what I really wanted, with something that pushed 280 00:16:09,160 --> 00:16:11,640 Speaker 1: me harder. You know, something that motivated me to work 281 00:16:11,680 --> 00:16:16,280 Speaker 1: harder than I ever could alone. Coming up? Ok, you 282 00:16:16,360 --> 00:16:19,120 Speaker 1: will share the device she liked the most and whether 283 00:16:19,200 --> 00:16:21,840 Speaker 1: she liked it enough to replace her personal trainer, Jen. 284 00:16:22,280 --> 00:16:32,920 Speaker 1: That'll be right after this word from our sponsor. You 285 00:16:33,000 --> 00:16:35,480 Speaker 1: know where you want to be. Red hat has the 286 00:16:35,520 --> 00:16:38,840 Speaker 1: broad portfolio of open source technologies to get you there. 287 00:16:39,320 --> 00:16:43,160 Speaker 1: Meet your evolving business challenges head on with secure solutions 288 00:16:43,200 --> 00:16:48,640 Speaker 1: for the enterprise, including Linux platforms and containers, hybrid cloud infrastructure, 289 00:16:48,960 --> 00:16:54,560 Speaker 1: application integration and development, operations management, and beyond. Visit red 290 00:16:54,560 --> 00:16:57,800 Speaker 1: hat dot com slash open Tech to learn more. Red 291 00:16:57,840 --> 00:17:06,760 Speaker 1: Hat the open technology to help you realize your vision. Hi. Everyone, 292 00:17:06,880 --> 00:17:10,320 Speaker 1: it's Pierre producer here on Decrypted. Thanks to all of 293 00:17:10,359 --> 00:17:13,520 Speaker 1: you sending us your stories. We absolutely love hearing from you. 294 00:17:13,960 --> 00:17:16,800 Speaker 1: This week, we got one message that was so relevant 295 00:17:16,800 --> 00:17:19,000 Speaker 1: to this episode we just had to share it with 296 00:17:19,040 --> 00:17:22,159 Speaker 1: all of you. Hi Decrypted. My name is Jenny and 297 00:17:22,200 --> 00:17:24,560 Speaker 1: I'm a personal trainer in New York City. I hear 298 00:17:24,600 --> 00:17:27,879 Speaker 1: all the time people saying that apps are going to 299 00:17:28,000 --> 00:17:31,360 Speaker 1: take the place of personal trainers. And while I think 300 00:17:31,359 --> 00:17:36,000 Speaker 1: fitness apps are a great addition to somebody's workout program, 301 00:17:36,040 --> 00:17:38,679 Speaker 1: they are certainly not there at five o'clock in the 302 00:17:38,720 --> 00:17:41,560 Speaker 1: morning holding you accountable if you don't get out of bed. 303 00:17:41,920 --> 00:17:46,520 Speaker 1: Personal trainers are personal. They listen to people's woes, prop 304 00:17:46,560 --> 00:17:49,600 Speaker 1: them up when they're feeling down, and keep them accountable 305 00:17:49,760 --> 00:17:53,480 Speaker 1: when they eat ice cream for breakfast. Not only that, 306 00:17:53,960 --> 00:17:57,320 Speaker 1: but personal trainers are standing over their client, making sure 307 00:17:57,359 --> 00:18:01,119 Speaker 1: they are not hurting themselves, counting every rep and making 308 00:18:01,160 --> 00:18:03,600 Speaker 1: sure that they finished the entire workout, no matter how 309 00:18:03,640 --> 00:18:07,000 Speaker 1: tired or lazy they might feel. Show me an app 310 00:18:07,040 --> 00:18:09,800 Speaker 1: that does all these things, and I will stand down 311 00:18:15,119 --> 00:18:18,080 Speaker 1: welcome back to DECRYPTI. Before the break, we went through 312 00:18:18,080 --> 00:18:20,960 Speaker 1: the v the Loumo Run, and the Whoop, all new 313 00:18:21,000 --> 00:18:23,399 Speaker 1: fitness devices that aim to be more useful than a 314 00:18:23,400 --> 00:18:27,280 Speaker 1: fitbit or an Apple Wash. And when I eventually settled 315 00:18:27,280 --> 00:18:30,919 Speaker 1: on my number one pick, naturally, there was one person 316 00:18:31,000 --> 00:18:34,639 Speaker 1: I really wanted to check my work with. Okay, they 317 00:18:34,720 --> 00:18:37,160 Speaker 1: wanted to be pretty tight, like, so it's good, it's 318 00:18:37,160 --> 00:18:43,760 Speaker 1: actually it's good. Okay, anything for the podcast doctor, how's 319 00:18:43,800 --> 00:18:49,119 Speaker 1: that right there? That's all right, okay, full disclosure. What 320 00:18:49,160 --> 00:18:51,760 Speaker 1: you're listening to here is me putting on the move 321 00:18:52,080 --> 00:18:54,720 Speaker 1: hr burn, which is a black strap that you wear 322 00:18:54,720 --> 00:18:58,119 Speaker 1: in your chest. It measures your heart right, and it 323 00:18:58,160 --> 00:19:01,320 Speaker 1: appears with the company's app that talks to you, coaching 324 00:19:01,320 --> 00:19:05,280 Speaker 1: you through difficult outdoor runs where you alternate between sprinting 325 00:19:05,400 --> 00:19:09,160 Speaker 1: and jogging, and also through these indoor exercise classes. Right. 326 00:19:09,200 --> 00:19:12,520 Speaker 1: I tried the intermediate level indoor exercise, which had me 327 00:19:12,600 --> 00:19:18,680 Speaker 1: start out with some jumping jacks. Let's go keeps game time. 328 00:19:21,880 --> 00:19:26,840 Speaker 1: Make sure your legs land outside of your hips. Now 329 00:19:26,880 --> 00:19:31,199 Speaker 1: that computer voice you just heard is computerized trainer. And 330 00:19:31,200 --> 00:19:33,480 Speaker 1: what I really liked about it is, you know, since 331 00:19:33,480 --> 00:19:36,359 Speaker 1: she's following your heart rate collected through the chest straps, 332 00:19:36,440 --> 00:19:39,480 Speaker 1: she knows how hard you're working. She tells you where 333 00:19:39,480 --> 00:19:42,440 Speaker 1: your heart rate should be during each exercise. For example, 334 00:19:42,560 --> 00:19:45,520 Speaker 1: zone four means you're working really hard and zone one 335 00:19:45,640 --> 00:19:48,439 Speaker 1: means you're basically resting. And that all means when you're 336 00:19:48,480 --> 00:19:51,080 Speaker 1: not meeting the goals, the app yells at you to 337 00:19:51,200 --> 00:19:57,320 Speaker 1: work harder. Zone three bush harder to reach the target, 338 00:19:58,440 --> 00:20:01,320 Speaker 1: So the targets none for zone too. Time to push, 339 00:20:01,440 --> 00:20:11,480 Speaker 1: Let's do, let's go. You're almost at the finish line. 340 00:20:11,680 --> 00:20:14,040 Speaker 1: And after thirty three minutes of this, I've never been 341 00:20:14,080 --> 00:20:16,399 Speaker 1: more thankful that this is a podcast and not a 342 00:20:16,480 --> 00:20:21,360 Speaker 1: video show. I was drenched in sweat stadium. You're doing 343 00:20:21,359 --> 00:20:30,680 Speaker 1: great Zone four. I can keep it up in front 344 00:20:30,720 --> 00:20:38,240 Speaker 1: of us. Good Brad, This is the hardest time before 345 00:20:38,400 --> 00:20:50,160 Speaker 1: the end is insightful. Way to go nice, So, Brad, 346 00:20:50,200 --> 00:20:52,320 Speaker 1: would you think you know? I love the data collection, 347 00:20:52,359 --> 00:20:55,960 Speaker 1: I love the workout in designed for me. The AI itself, 348 00:20:56,119 --> 00:20:59,400 Speaker 1: the motivational tool, I found it funny. I don't think 349 00:20:59,440 --> 00:21:03,520 Speaker 1: it quite sells the those motivational aspects of it. Um 350 00:21:03,680 --> 00:21:05,560 Speaker 1: you know it's AI has a long way to go 351 00:21:05,680 --> 00:21:09,840 Speaker 1: before I could mimic, the intonations, the humanity of actual 352 00:21:09,880 --> 00:21:12,160 Speaker 1: people who are trying to get you to work harder. Yeah, 353 00:21:12,240 --> 00:21:19,439 Speaker 1: definitely so aky. What's the final verdict. Well, over the 354 00:21:19,520 --> 00:21:22,560 Speaker 1: course of my sessions with Jen and also over the 355 00:21:22,600 --> 00:21:26,200 Speaker 1: course of my workouts with these various devices, I've lost 356 00:21:26,520 --> 00:21:29,960 Speaker 1: almost seven pounds, which has been enough for me to 357 00:21:30,000 --> 00:21:31,919 Speaker 1: get back to the body that I had when I 358 00:21:31,960 --> 00:21:35,040 Speaker 1: was single. At the beginning and the end of this project, 359 00:21:35,160 --> 00:21:38,000 Speaker 1: I ran a one point five mile sprint. This is 360 00:21:38,040 --> 00:21:41,800 Speaker 1: to test my cardiovascular strength, and I've gotten a whole 361 00:21:41,880 --> 00:21:45,679 Speaker 1: minute faster, which is pretty cool. And I don't know, 362 00:21:45,840 --> 00:21:48,600 Speaker 1: I just feel lighter on my feet, my clothes fit better. 363 00:21:49,000 --> 00:21:52,040 Speaker 1: My wife says that I seem more energized and in 364 00:21:52,080 --> 00:21:55,080 Speaker 1: a better mood every day. So I think this has 365 00:21:55,119 --> 00:21:58,600 Speaker 1: been a pretty successful experiment for me. So, Aki, do 366 00:21:58,640 --> 00:22:00,600 Speaker 1: you think it was Jen the the trick or the 367 00:22:00,640 --> 00:22:04,400 Speaker 1: move gadget? So thinking about this, and I didn't really 368 00:22:04,400 --> 00:22:07,600 Speaker 1: set this up as a scientific experiment. I was trying 369 00:22:07,640 --> 00:22:10,040 Speaker 1: all the gadgets at the same time, and I was 370 00:22:10,080 --> 00:22:13,560 Speaker 1: also training with Jen, so it's hard to objectively tell. Okay, Well, 371 00:22:13,560 --> 00:22:16,280 Speaker 1: granting that this is subjective, let me put it this way, 372 00:22:16,320 --> 00:22:18,640 Speaker 1: if you had to choose between three months with Jen 373 00:22:19,280 --> 00:22:22,280 Speaker 1: or using the Move gadget, which would you do? Well. 374 00:22:22,600 --> 00:22:26,159 Speaker 1: Jen is expensive. She charges a hundred seventy five dollars 375 00:22:26,280 --> 00:22:30,520 Speaker 1: per session, whereas the Move costs just sixty dollars for 376 00:22:30,600 --> 00:22:32,880 Speaker 1: the chess trap and the app that comes with it 377 00:22:32,920 --> 00:22:36,640 Speaker 1: is free. So at my current salary, I would probably 378 00:22:36,720 --> 00:22:39,440 Speaker 1: choose the gadget. Um, it made me work really hard 379 00:22:39,480 --> 00:22:41,919 Speaker 1: and the exercises I found were really fun. Okay, well, 380 00:22:41,960 --> 00:22:44,199 Speaker 1: let's take price out of the equation, because this is 381 00:22:44,240 --> 00:22:46,520 Speaker 1: about the future of a certain kind of work. If 382 00:22:46,560 --> 00:22:48,640 Speaker 1: all things were equal and price was not a concern, 383 00:22:48,920 --> 00:22:51,840 Speaker 1: which would you do? I would hire Jen and a heartbeat, 384 00:22:51,960 --> 00:22:54,639 Speaker 1: yeah for sure. I Mean working out with her was 385 00:22:54,840 --> 00:22:59,080 Speaker 1: definitely more fun, more motivating than having this computer voice 386 00:22:59,119 --> 00:23:02,080 Speaker 1: talk at me like you talking about earlier. And the 387 00:23:02,119 --> 00:23:05,440 Speaker 1: workouts I did with her were just a lot more variable, 388 00:23:05,560 --> 00:23:08,399 Speaker 1: you know. Um we did pull ups and stairs prints, 389 00:23:08,520 --> 00:23:11,239 Speaker 1: and in our last session together we went on this 390 00:23:11,359 --> 00:23:15,359 Speaker 1: ten mile run along them marin Headlands, and she even 391 00:23:15,359 --> 00:23:18,040 Speaker 1: gave me cool tips like, um, what and when to 392 00:23:18,160 --> 00:23:21,160 Speaker 1: eat for the half marathon that I'm training for. Right. 393 00:23:21,160 --> 00:23:23,920 Speaker 1: But the thing is, I mean we can reliably say 394 00:23:23,960 --> 00:23:26,680 Speaker 1: that the AI in devices like the Move gadget will 395 00:23:26,680 --> 00:23:29,000 Speaker 1: get better. Right, So, over time, do you think Jen's 396 00:23:29,080 --> 00:23:32,040 Speaker 1: job is at risk? I think so, Yeah, maybe way 397 00:23:32,080 --> 00:23:34,800 Speaker 1: down the road at least for now, though you would 398 00:23:34,840 --> 00:23:37,840 Speaker 1: need a lot of disposable income to train with Jen 399 00:23:37,920 --> 00:23:40,919 Speaker 1: in the first place. And as long as Jen is 400 00:23:41,320 --> 00:23:44,120 Speaker 1: much better than these devices for people who don't really 401 00:23:44,119 --> 00:23:46,440 Speaker 1: have to worry about money that much, I don't think 402 00:23:46,480 --> 00:23:50,200 Speaker 1: these devices pose a direct threat to Jen. But um, 403 00:23:50,240 --> 00:23:53,040 Speaker 1: maybe if you're like a group instructor, or you're a 404 00:23:53,080 --> 00:23:57,200 Speaker 1: personal trainer, not as great and not as dedicated as Jen, 405 00:23:58,119 --> 00:24:01,880 Speaker 1: you might be more at risk. Certainly, the six dollar 406 00:24:02,000 --> 00:24:05,360 Speaker 1: Move is a lot cheaper than having a monthly gym membership, 407 00:24:05,400 --> 00:24:08,280 Speaker 1: for example. Yeah, totally. In fact, I wonder when Jim's 408 00:24:08,280 --> 00:24:11,240 Speaker 1: will start giving us these devices, right or maybe offering 409 00:24:11,280 --> 00:24:14,280 Speaker 1: certain kinds of tools as a competitive advantage. So ack, 410 00:24:14,480 --> 00:24:16,840 Speaker 1: this whole product category is still in its early days. 411 00:24:16,920 --> 00:24:19,000 Speaker 1: What do you think is coming Well, First of all, 412 00:24:19,040 --> 00:24:22,240 Speaker 1: I think the Move is already pretty cheap at sixty dollars, 413 00:24:22,280 --> 00:24:23,960 Speaker 1: but I think that price is going to come down 414 00:24:24,040 --> 00:24:26,520 Speaker 1: a lot with products with a lot more features than 415 00:24:26,520 --> 00:24:28,440 Speaker 1: the Move. In the coming years. You know, for example, 416 00:24:28,440 --> 00:24:31,800 Speaker 1: the Whoop band five dollars, that's definitely going to get 417 00:24:31,840 --> 00:24:35,440 Speaker 1: cheaper over time. So I think that's pretty exciting. Brad, 418 00:24:35,440 --> 00:24:37,480 Speaker 1: What do you think I look forward to the day 419 00:24:37,480 --> 00:24:40,199 Speaker 1: when this isn't even a product category where it's just 420 00:24:40,240 --> 00:24:43,359 Speaker 1: your clothes, it's your shoes that are monitoring your health, 421 00:24:43,400 --> 00:24:47,800 Speaker 1: that are maybe even recommending new kinds of exercises, are hard, work, harder, 422 00:24:47,920 --> 00:24:50,679 Speaker 1: how to run properly. I do think this sort of 423 00:24:50,720 --> 00:24:52,919 Speaker 1: fades into the background of the other things that we 424 00:24:53,000 --> 00:24:55,240 Speaker 1: surround ourselves with, and then we'll kind of just take 425 00:24:55,280 --> 00:24:58,080 Speaker 1: it for granted. You know, I told Jen about my 426 00:24:58,160 --> 00:25:03,200 Speaker 1: conclusion of ultimate ly liking training with her better, but 427 00:25:03,520 --> 00:25:06,160 Speaker 1: you know, probably buying the gadget if I were still 428 00:25:06,200 --> 00:25:07,879 Speaker 1: at my current salary. And you want to know what 429 00:25:07,960 --> 00:25:11,240 Speaker 1: she said. What did she say? She said, she bets 430 00:25:11,320 --> 00:25:13,359 Speaker 1: that I'm not going to be using the gadget in 431 00:25:13,359 --> 00:25:16,679 Speaker 1: another three months, but she was excited for me, and 432 00:25:16,720 --> 00:25:19,320 Speaker 1: she said she might be recommending the move to her 433 00:25:19,359 --> 00:25:23,000 Speaker 1: clients for them to train on their own in the future. Okay, 434 00:25:23,000 --> 00:25:25,320 Speaker 1: how about this, Let's check in in the fall and 435 00:25:25,400 --> 00:25:28,080 Speaker 1: see if either one of us are using these gadgets. Yeah, 436 00:25:28,080 --> 00:25:35,639 Speaker 1: we'll see We'll check in September. And that's it for 437 00:25:35,840 --> 00:25:39,159 Speaker 1: this week's episode of Decrypted. Thanks for listening. If you 438 00:25:39,200 --> 00:25:41,840 Speaker 1: have a story about your job as it relates to automation, 439 00:25:42,119 --> 00:25:44,159 Speaker 1: you can record a voice message and send it to 440 00:25:44,280 --> 00:25:47,480 Speaker 1: us at Decrypted at Bloomberg dot net. Also, I'm on 441 00:25:47,520 --> 00:25:51,280 Speaker 1: Twitter at at brad Stone and I'm at Akita seven. 442 00:25:51,640 --> 00:25:54,840 Speaker 1: If you haven't already, please subscribe to our show wherever 443 00:25:55,000 --> 00:25:57,840 Speaker 1: you get your podcasts, and while you're there. We say 444 00:25:57,880 --> 00:26:00,840 Speaker 1: this every week because it is so importan and we 445 00:26:00,920 --> 00:26:03,000 Speaker 1: really do hope you'll take a minute to leave us 446 00:26:03,000 --> 00:26:05,720 Speaker 1: a rating and a review. It does so much to 447 00:26:05,720 --> 00:26:07,760 Speaker 1: help get our show in fort of more people. This 448 00:26:07,800 --> 00:26:11,119 Speaker 1: episode was produced by Pia gut Kari, Liz Smith and 449 00:26:11,160 --> 00:26:14,760 Speaker 1: Magnus Hendrickson. A special thanks to Nico Grant who helped 450 00:26:14,840 --> 00:26:17,280 Speaker 1: us with some of the reporting and research for today's show, 451 00:26:17,520 --> 00:26:20,600 Speaker 1: and of course a truly special thanks to the Warrior. 452 00:26:21,920 --> 00:26:24,520 Speaker 1: And check out my print feature and my video on 453 00:26:24,600 --> 00:26:27,200 Speaker 1: these gadgets, which you can find on Bloomberg dot com 454 00:26:27,280 --> 00:26:32,280 Speaker 1: slash Technology. Alec McCabe is head of Bloomberg Podcasts. We'll 455 00:26:32,320 --> 00:26:45,440 Speaker 1: see you next week. Decrypted is brought to you by 456 00:26:45,480 --> 00:26:48,840 Speaker 1: red Hat, whose broad portfolio of open source technologies for 457 00:26:48,880 --> 00:26:51,359 Speaker 1: the enterprise helps you get from where you are to 458 00:26:51,440 --> 00:26:54,919 Speaker 1: where you want to be. Red Hat the open technology 459 00:26:54,960 --> 00:26:57,720 Speaker 1: to help you realize your vision. Learn more at red 460 00:26:57,720 --> 00:26:59,560 Speaker 1: hat dot com, slash open Tech