1 00:00:04,200 --> 00:00:11,640 Speaker 1: Get in touch with technology with tex Stuff from dot com. 2 00:00:12,240 --> 00:00:16,200 Speaker 1: Hey even everyone, and welcome to tex Stuff. I'm Jonathan Strickland, 3 00:00:16,239 --> 00:00:20,599 Speaker 1: and today I've got a very special treat. The lovely, 4 00:00:20,800 --> 00:00:25,920 Speaker 1: the talented, the intelligent, the amazing. Shannon Morse has agreed 5 00:00:26,640 --> 00:00:31,160 Speaker 1: to grace me with an interview. Shannon stole my heart 6 00:00:31,240 --> 00:00:33,519 Speaker 1: the first time I met her in two thousand thirteen 7 00:00:33,560 --> 00:00:37,720 Speaker 1: at c e S because we uh we met and 8 00:00:37,800 --> 00:00:40,879 Speaker 1: she immediately, instead of shaking my hand as I was 9 00:00:40,920 --> 00:00:42,720 Speaker 1: putting my hand out, gave me a big old hug. 10 00:00:43,280 --> 00:00:47,280 Speaker 1: How you doing, Shannon, I'm doing wonderful. I remember that 11 00:00:47,360 --> 00:00:49,240 Speaker 1: day so crystal clear. I just ran up to you 12 00:00:49,320 --> 00:00:54,000 Speaker 1: and I was like, John, hugs. It was wonderful. I mean, yo, 13 00:00:54,800 --> 00:00:57,160 Speaker 1: not that I not that I want everyone at c 14 00:00:57,280 --> 00:01:00,240 Speaker 1: e S to do that to me, but it's in 15 00:01:00,280 --> 00:01:05,200 Speaker 1: a while. It's nice, ye Shannon. For all of my 16 00:01:05,360 --> 00:01:07,839 Speaker 1: listeners who are may not be familiar with your work, 17 00:01:08,400 --> 00:01:10,920 Speaker 1: can you give us like a rundown of all the 18 00:01:10,959 --> 00:01:14,920 Speaker 1: amazing stuff you do? Absolutely? Um So. Of course you 19 00:01:14,959 --> 00:01:17,360 Speaker 1: can always find me on Twitter. I'm snubs on there, 20 00:01:17,480 --> 00:01:20,280 Speaker 1: but if you're really interested in checking out my podcast, 21 00:01:20,680 --> 00:01:23,760 Speaker 1: I started podcasting in two thousand eight, and I do 22 00:01:23,880 --> 00:01:27,720 Speaker 1: about uh five six shows now, well one's kind of 23 00:01:27,760 --> 00:01:29,400 Speaker 1: in the work, so I can't talk about that one 24 00:01:29,480 --> 00:01:32,399 Speaker 1: quite yet. But I'm also doing Hack five, which is 25 00:01:32,560 --> 00:01:35,360 Speaker 1: j K five. It's all about hacking and moning and 26 00:01:35,440 --> 00:01:37,600 Speaker 1: really interesting things that you can do with not only 27 00:01:37,640 --> 00:01:42,040 Speaker 1: software but hardware as well. We break and we reconstruct things. 28 00:01:42,120 --> 00:01:45,120 Speaker 1: It's really fun. Lately we've been hanging out with drones. 29 00:01:45,200 --> 00:01:47,840 Speaker 1: It's super, super enjoyable. And I also do a show 30 00:01:47,880 --> 00:01:50,400 Speaker 1: called tech Zilla. That one's more of a question the 31 00:01:50,480 --> 00:01:52,919 Speaker 1: answer show. We get a lot of viewers that email 32 00:01:53,040 --> 00:01:55,760 Speaker 1: us with tech questions, so we try to answer those, 33 00:01:55,800 --> 00:01:58,960 Speaker 1: and we also do some tech reviews as well. Lately 34 00:01:59,000 --> 00:02:02,240 Speaker 1: I've been reviewing reviewing a lot of cell phones and tablets, 35 00:02:02,240 --> 00:02:04,880 Speaker 1: Go Figure. And last, but not least, of course, is 36 00:02:04,920 --> 00:02:08,280 Speaker 1: Coding one oh one, and that is a beginner's programming show. 37 00:02:08,680 --> 00:02:11,160 Speaker 1: We're not really there to take place of college courses, 38 00:02:11,200 --> 00:02:13,240 Speaker 1: but we're there to kind of give you a grasp 39 00:02:13,320 --> 00:02:17,800 Speaker 1: of what programming looks like, what different languages are available 40 00:02:17,800 --> 00:02:20,440 Speaker 1: to you, and get you excited about it. So we're 41 00:02:20,440 --> 00:02:24,400 Speaker 1: hoping to get younger people really excited about programming and 42 00:02:24,440 --> 00:02:28,040 Speaker 1: hopefully increase their experience in it when they actually delve 43 00:02:28,080 --> 00:02:31,440 Speaker 1: into it in college. That's about it. That's fantastic. And 44 00:02:31,480 --> 00:02:34,280 Speaker 1: I mean it's great because it's coming in a time 45 00:02:34,840 --> 00:02:37,639 Speaker 1: when I'm seeing kind of a resurgence in that interest 46 00:02:37,840 --> 00:02:41,400 Speaker 1: in coding and sharing the love of coding, because you know, 47 00:02:41,520 --> 00:02:45,280 Speaker 1: in the early eighties, I'm older than Shannon. In the 48 00:02:45,320 --> 00:02:48,960 Speaker 1: early eighties, when people were getting hold of things like 49 00:02:49,120 --> 00:02:53,040 Speaker 1: Texas instruments, computers, Apple the Apple to e was my 50 00:02:53,040 --> 00:02:56,919 Speaker 1: my baby. Uh. You know, we started learning basic programming, 51 00:02:57,320 --> 00:03:02,080 Speaker 1: truly basic programming programming in Bay sick and uh and 52 00:03:02,080 --> 00:03:04,680 Speaker 1: and it was something that kids could get into. And 53 00:03:04,680 --> 00:03:09,200 Speaker 1: then as time progressed, we started to see these programming 54 00:03:09,280 --> 00:03:13,119 Speaker 1: languages become more and more sophisticated and complex, and therefore 55 00:03:13,440 --> 00:03:17,480 Speaker 1: the barrier to entrigue became higher and higher, and so 56 00:03:17,560 --> 00:03:21,040 Speaker 1: for some people they felt discouraged getting into it because 57 00:03:21,040 --> 00:03:24,160 Speaker 1: it just seemed like even the first steps were far 58 00:03:24,200 --> 00:03:27,600 Speaker 1: too advanced for them to really understand and appreciate it. 59 00:03:28,040 --> 00:03:31,839 Speaker 1: And I love seeing shows like yours, as well as 60 00:03:31,919 --> 00:03:34,960 Speaker 1: people working in the field to build hardware for folks 61 00:03:35,000 --> 00:03:37,400 Speaker 1: to practice coding on. Things of course, like like the 62 00:03:37,520 --> 00:03:42,280 Speaker 1: R do we know, micro controllers and the Raspberry pie um. 63 00:03:42,320 --> 00:03:46,360 Speaker 1: These are great tools that I love seeing because it 64 00:03:46,440 --> 00:03:49,760 Speaker 1: lets people get that foot in the door and then 65 00:03:50,000 --> 00:03:54,160 Speaker 1: build upon the knowledge that they they they are able 66 00:03:54,200 --> 00:03:59,000 Speaker 1: to um gain in those early days. So what got 67 00:03:59,120 --> 00:04:04,000 Speaker 1: you Channon interested in all of this? Oh? Man, can 68 00:04:04,040 --> 00:04:07,080 Speaker 1: I blame my dad? Well? We can. We can give 69 00:04:07,160 --> 00:04:10,080 Speaker 1: him credit. Will give him credit. Well, when I was 70 00:04:10,120 --> 00:04:12,320 Speaker 1: really little, the very first thing that was in my 71 00:04:12,400 --> 00:04:18,560 Speaker 1: nursery was a computer, and that was the eighties, so 72 00:04:18,760 --> 00:04:21,280 Speaker 1: I grew up with computers in my house. My dad 73 00:04:21,279 --> 00:04:23,919 Speaker 1: taught me how to build my first machine. He brought 74 00:04:23,920 --> 00:04:26,919 Speaker 1: me to this PC store in Indiana back when I 75 00:04:26,960 --> 00:04:29,599 Speaker 1: was a little kid, and I just thought it was amazing. 76 00:04:29,760 --> 00:04:32,000 Speaker 1: For me, it was like it was like Chucky Cheese 77 00:04:32,000 --> 00:04:35,080 Speaker 1: for nerds. It was so incredible with all the all 78 00:04:35,080 --> 00:04:37,720 Speaker 1: these pieces of ram just hanging out and all the 79 00:04:37,760 --> 00:04:40,440 Speaker 1: CPUs that you could choose from. It was just incredible 80 00:04:40,480 --> 00:04:43,480 Speaker 1: to me, and I got very excited to learn that, Like, 81 00:04:43,680 --> 00:04:46,840 Speaker 1: it's not just the monitor that beholds what you can 82 00:04:46,839 --> 00:04:49,000 Speaker 1: do with a computer, but it's also all the insides 83 00:04:49,040 --> 00:04:50,839 Speaker 1: and how you can manipulate it to do all the 84 00:04:50,880 --> 00:04:53,680 Speaker 1: different things that you wanted to do, so he got 85 00:04:53,720 --> 00:04:56,880 Speaker 1: me interested in that. My mom got me interested in 86 00:04:56,920 --> 00:04:59,880 Speaker 1: theater because she basically forced me into it, and I 87 00:05:00,279 --> 00:05:02,320 Speaker 1: ended up falling in love with it. So I took 88 00:05:02,360 --> 00:05:05,320 Speaker 1: these two loves and I kind of combined them together 89 00:05:05,480 --> 00:05:08,719 Speaker 1: to start doing podcasting. So now I'm entertaining, but I'm 90 00:05:08,720 --> 00:05:14,040 Speaker 1: also trying to educate the masses about building computers, programming, 91 00:05:14,080 --> 00:05:18,080 Speaker 1: and hacking. So when you got into podcasting, that was, 92 00:05:18,480 --> 00:05:21,240 Speaker 1: you know, that's not that far into when it was 93 00:05:21,279 --> 00:05:25,040 Speaker 1: really starting to take off. Uh, what was your experience 94 00:05:25,120 --> 00:05:28,160 Speaker 1: like when you first started? Um, it was kind of 95 00:05:28,200 --> 00:05:31,080 Speaker 1: weird because I didn't really work with a network or 96 00:05:31,080 --> 00:05:34,240 Speaker 1: anything like that. My my friends over at Hack five 97 00:05:34,320 --> 00:05:37,160 Speaker 1: were just like, Hey, you should come move in with us, 98 00:05:37,200 --> 00:05:39,200 Speaker 1: and I decided to because I was just out of 99 00:05:39,240 --> 00:05:42,200 Speaker 1: college and I didn't really have a job lying out 100 00:05:42,200 --> 00:05:44,760 Speaker 1: for me or anything. So I ended up moving out 101 00:05:44,800 --> 00:05:47,679 Speaker 1: there to Virginia, got a full time job at a 102 00:05:47,720 --> 00:05:50,880 Speaker 1: bank as a teller, which was really boring, and I 103 00:05:51,000 --> 00:05:54,360 Speaker 1: ended up doing this show Hack five pretty much at 104 00:05:54,440 --> 00:05:57,520 Speaker 1: like the middle of the night once a week for 105 00:05:57,640 --> 00:06:01,240 Speaker 1: us like a couple of years. When I first started 106 00:06:01,279 --> 00:06:03,880 Speaker 1: doing it, it was really weird. To me, it was 107 00:06:04,000 --> 00:06:05,720 Speaker 1: very awkward to be in front of a camera as 108 00:06:05,760 --> 00:06:07,840 Speaker 1: opposed to being in front of a theater audience because 109 00:06:07,839 --> 00:06:10,560 Speaker 1: there's a really big you know, it's a big difference. 110 00:06:10,600 --> 00:06:12,800 Speaker 1: You don't have that kind of interaction that you get 111 00:06:12,839 --> 00:06:16,000 Speaker 1: from theater. Yeah, there's no live feedback. You don't you 112 00:06:16,080 --> 00:06:18,280 Speaker 1: can't tell when you're doing well, and when you're not 113 00:06:18,360 --> 00:06:20,240 Speaker 1: doing well. You don't know when to amp up the 114 00:06:20,320 --> 00:06:23,360 Speaker 1: energy or maybe pull it back exactly, So you don't 115 00:06:23,400 --> 00:06:25,240 Speaker 1: you don't know if you're doing well until the shows 116 00:06:25,240 --> 00:06:27,560 Speaker 1: on YouTube and then you start seeing the comments. Well, 117 00:06:27,600 --> 00:06:33,240 Speaker 1: and you can't judge your performance by YouTube comments. It 118 00:06:33,279 --> 00:06:36,120 Speaker 1: took me a long time to learn that, So, um, yeah, 119 00:06:36,120 --> 00:06:38,360 Speaker 1: it was It was very interesting to me. It was 120 00:06:38,400 --> 00:06:41,120 Speaker 1: a little bit hard. Some of my first segments are 121 00:06:41,160 --> 00:06:44,920 Speaker 1: incredibly terrible, and I suggest that nobody go watch them, 122 00:06:45,000 --> 00:06:48,800 Speaker 1: and now everybody's going to. But I think that I've 123 00:06:48,880 --> 00:06:51,479 Speaker 1: learned a lot. I've been doing it since uh two 124 00:06:51,520 --> 00:06:54,599 Speaker 1: thousand and eight, and I've I've had more than ten 125 00:06:54,640 --> 00:06:59,919 Speaker 1: thousand hours just on podcasting alone, whether that's researching for 126 00:07:00,000 --> 00:07:01,640 Speaker 1: are you saying or actually being in front of the 127 00:07:01,680 --> 00:07:04,320 Speaker 1: camera and doing it. So I feel like I'm starting 128 00:07:04,320 --> 00:07:07,479 Speaker 1: to get it now. Yeah. They say that your first 129 00:07:07,520 --> 00:07:10,720 Speaker 1: ten thousand hours are your hardest. Oh yeah, you know. 130 00:07:10,800 --> 00:07:14,280 Speaker 1: I I think that's about three episodes of tech stuff. 131 00:07:14,320 --> 00:07:17,640 Speaker 1: I do tend to get a little long winded, but 132 00:07:18,280 --> 00:07:21,120 Speaker 1: on a more serious note, I am curious when you 133 00:07:21,160 --> 00:07:24,680 Speaker 1: get you know, you do these episodes about hacking and 134 00:07:24,720 --> 00:07:27,200 Speaker 1: about coding. You do all these shows, not just episodes, 135 00:07:27,200 --> 00:07:31,880 Speaker 1: but entire shows about it. What is your favorite programming 136 00:07:32,040 --> 00:07:36,520 Speaker 1: language that you've worked with so far? Oh man, I know, 137 00:07:36,640 --> 00:07:40,600 Speaker 1: it's like choosing your favorite kid. It is. Oh man, 138 00:07:40,680 --> 00:07:45,040 Speaker 1: that's a hard one because they all have good aspects. Well, 139 00:07:45,080 --> 00:07:47,880 Speaker 1: so far, I've done Java, c sharp, Python, and Pearl, 140 00:07:48,520 --> 00:07:51,680 Speaker 1: and um, I think c sharp is my favorite. I 141 00:07:52,200 --> 00:07:55,000 Speaker 1: really like the syntax, I like the organization, and we 142 00:07:55,080 --> 00:07:59,200 Speaker 1: just started getting into object oriented programming with c sharp, 143 00:07:59,280 --> 00:08:01,400 Speaker 1: and I found it really compelling because like I was 144 00:08:01,440 --> 00:08:04,920 Speaker 1: able to build applications with it. It's just so cool, 145 00:08:05,280 --> 00:08:07,520 Speaker 1: and it's it's so much easier to use than some 146 00:08:07,600 --> 00:08:10,320 Speaker 1: of the other ones because like even the gooey just 147 00:08:10,360 --> 00:08:12,200 Speaker 1: tells you whenever you make an error, and it tells 148 00:08:12,240 --> 00:08:14,760 Speaker 1: you exactly what line it does it's on, So it's 149 00:08:14,920 --> 00:08:17,840 Speaker 1: a lot more helpful to beginners. And I still consider 150 00:08:17,880 --> 00:08:21,120 Speaker 1: myself a beginner programmer, so right now, yeah, C sharp 151 00:08:21,240 --> 00:08:24,880 Speaker 1: is my favorite. Alright, So then no, no, no, no 152 00:08:24,920 --> 00:08:28,080 Speaker 1: one should hate you for that. I think just saying 153 00:08:28,160 --> 00:08:31,840 Speaker 1: that gives people that insight to know that, you know, 154 00:08:32,040 --> 00:08:35,720 Speaker 1: if they're interested in just getting their toes wet, which 155 00:08:35,800 --> 00:08:39,199 Speaker 1: programming language would be a fun one to start off with, 156 00:08:39,360 --> 00:08:43,080 Speaker 1: one that really appeals to them. I always tell people that, 157 00:08:43,520 --> 00:08:46,720 Speaker 1: you know, it may take some some experimentation with different 158 00:08:46,720 --> 00:08:48,840 Speaker 1: ones to kind of see which ones click with your 159 00:08:48,880 --> 00:08:53,760 Speaker 1: thinking style. Yes, you know, people thinking very different ways, 160 00:08:53,800 --> 00:08:56,679 Speaker 1: and the way I think it organized my thoughts, there 161 00:08:56,679 --> 00:08:59,080 Speaker 1: are certain languages that work really well, and then there 162 00:08:59,080 --> 00:09:01,120 Speaker 1: are other ones where I look get and I say, 163 00:09:01,600 --> 00:09:05,200 Speaker 1: I don't know what this this gobbledygook is supposed to do, 164 00:09:05,280 --> 00:09:08,040 Speaker 1: so I can't tell you that it doesn't. And I 165 00:09:08,080 --> 00:09:10,160 Speaker 1: think that's why a lot of people make their favorites 166 00:09:10,200 --> 00:09:12,600 Speaker 1: when it comes to programming, is just we we all 167 00:09:12,679 --> 00:09:15,880 Speaker 1: think very differently. So psychologically, you might look at the 168 00:09:15,960 --> 00:09:19,120 Speaker 1: data and think it's completely confusing, while I look at 169 00:09:19,160 --> 00:09:22,120 Speaker 1: it and say, oh, yeah, that completely makes sense. Well, then, 170 00:09:22,440 --> 00:09:26,520 Speaker 1: now that we've talked about the the the programming language side, 171 00:09:26,840 --> 00:09:30,160 Speaker 1: you know, like you you said, hacking is so much 172 00:09:30,200 --> 00:09:34,480 Speaker 1: more than writing code than writing computer programs. A lot 173 00:09:34,520 --> 00:09:39,680 Speaker 1: of us associate the word hacking with the idea of 174 00:09:39,679 --> 00:09:42,880 Speaker 1: of breaking into a system, which is obviously a very 175 00:09:43,000 --> 00:09:46,480 Speaker 1: narrow definition. In the old days, what hacking was all 176 00:09:46,480 --> 00:09:51,280 Speaker 1: about was that you wanted some technology to do something specific. 177 00:09:51,440 --> 00:09:54,440 Speaker 1: It was not necessarily meant to do that. So you 178 00:09:54,480 --> 00:09:56,720 Speaker 1: had to figure out how to make the stuff you 179 00:09:56,840 --> 00:10:00,079 Speaker 1: have do the stuff you wanted to do, and you 180 00:10:00,120 --> 00:10:03,200 Speaker 1: would create a hack. You would you know, elegance was 181 00:10:03,240 --> 00:10:06,320 Speaker 1: not necessary. You didn't have to worry about looking pretty. 182 00:10:06,400 --> 00:10:09,760 Speaker 1: It just needed to work. And so there's some hackers 183 00:10:09,800 --> 00:10:12,680 Speaker 1: who may take a little extra time and a little 184 00:10:12,720 --> 00:10:15,840 Speaker 1: extra effort and a little extra baggage to get the 185 00:10:15,880 --> 00:10:18,000 Speaker 1: thing done. But the important thing is at the end 186 00:10:18,040 --> 00:10:20,160 Speaker 1: of the day, it does what you wanted to do. 187 00:10:20,559 --> 00:10:22,880 Speaker 1: So with that in mind, with the with hacking taking 188 00:10:22,920 --> 00:10:28,040 Speaker 1: into account physical things not just code, are there any 189 00:10:28,080 --> 00:10:33,040 Speaker 1: physical hacks that you found to be particularly interesting, something 190 00:10:33,080 --> 00:10:38,199 Speaker 1: that really fascinated you. Yes, I've been doing some really 191 00:10:38,240 --> 00:10:42,200 Speaker 1: cool hacks lately with something called software defined radio, and 192 00:10:42,280 --> 00:10:45,000 Speaker 1: it sounds like it's just software but it's not. You 193 00:10:45,080 --> 00:10:48,720 Speaker 1: take these physical antennas and most of them have USB, 194 00:10:48,840 --> 00:10:51,000 Speaker 1: your micro USB connectors and them, so you can plug 195 00:10:51,040 --> 00:10:55,079 Speaker 1: them into your computer. And you can build different uh, 196 00:10:55,200 --> 00:10:57,800 Speaker 1: different length antennas to be able to pick up different 197 00:10:57,880 --> 00:11:01,760 Speaker 1: kinds of frequencies. Plug him in to these little um 198 00:11:01,960 --> 00:11:05,480 Speaker 1: R T L SDR dongles that you plug into your computer, 199 00:11:05,600 --> 00:11:07,559 Speaker 1: and then you can start picking up all sorts of 200 00:11:07,600 --> 00:11:11,480 Speaker 1: different frequencies through your computer. As opposed to the old 201 00:11:11,480 --> 00:11:14,559 Speaker 1: school Ham radio operators where they had the really really 202 00:11:14,559 --> 00:11:18,520 Speaker 1: big machines, these cost you know, a fraction of the price, 203 00:11:19,000 --> 00:11:21,560 Speaker 1: and you can also do it straight from your desktop 204 00:11:21,640 --> 00:11:25,000 Speaker 1: or from your laptop. So I've been lately, I've been 205 00:11:25,000 --> 00:11:27,760 Speaker 1: building a bunch of different antennas. I've learned how to 206 00:11:28,880 --> 00:11:32,320 Speaker 1: basically do the math behind antenna building, and it's really 207 00:11:32,360 --> 00:11:36,120 Speaker 1: really complicated. Yeah, it's complicated. You have to make sure 208 00:11:36,160 --> 00:11:38,319 Speaker 1: one wire is grounded and the other one is picking 209 00:11:38,400 --> 00:11:41,720 Speaker 1: up lots of frequency speeds and whatnot, and then you 210 00:11:41,760 --> 00:11:43,680 Speaker 1: have to make sure that you have at level and 211 00:11:43,720 --> 00:11:46,920 Speaker 1: it's perfectly straight so yet that your all your your 212 00:11:46,920 --> 00:11:50,280 Speaker 1: bandwidth is going out the correct directions. It's really weird, 213 00:11:50,800 --> 00:11:53,880 Speaker 1: but I've been having so much fun with like tracking 214 00:11:54,040 --> 00:11:58,560 Speaker 1: airplanes and ships that are coming into the bay and 215 00:11:58,720 --> 00:12:01,240 Speaker 1: being able to One thing I really want to do 216 00:12:01,320 --> 00:12:04,280 Speaker 1: is build an antenna to pick up the weather satellites. Luckily, 217 00:12:04,360 --> 00:12:07,280 Speaker 1: all of this stuff is legal, So this is this 218 00:12:07,360 --> 00:12:10,880 Speaker 1: is hacking in a legal aspect because that's what I 219 00:12:10,960 --> 00:12:13,280 Speaker 1: like to do. Um. But yeah, this is my new 220 00:12:13,320 --> 00:12:15,520 Speaker 1: favorite thing. Yeah, this is well, this is all about 221 00:12:15,640 --> 00:12:19,560 Speaker 1: receiving information. It's not like you're beaming out something so that. 222 00:12:19,960 --> 00:12:22,480 Speaker 1: Uh you know that weather satellite was supposed to be 223 00:12:22,640 --> 00:12:25,800 Speaker 1: over Nevada but instead it's in the Pacific Ocean. Do 224 00:12:25,840 --> 00:12:28,720 Speaker 1: you know anything about that? It's not like that I 225 00:12:28,760 --> 00:12:30,400 Speaker 1: can do that, but i'd have to be a ham 226 00:12:30,559 --> 00:12:35,240 Speaker 1: radio operator licensed. Well, what's what's interesting is that you know, 227 00:12:35,320 --> 00:12:37,640 Speaker 1: when you were mentioning the fact that the math behind 228 00:12:37,679 --> 00:12:41,480 Speaker 1: antenna's is so complex, I know that really. Well is 229 00:12:41,640 --> 00:12:45,040 Speaker 1: because way back in the day, when when we first 230 00:12:45,040 --> 00:12:48,280 Speaker 1: started doing the Tech Stuff podcast me and my original 231 00:12:48,280 --> 00:12:51,760 Speaker 1: co host Chris Pollett, one of the earliest requests we 232 00:12:51,840 --> 00:12:57,600 Speaker 1: ever got was how Cantanna's work. So we started looking 233 00:12:57,640 --> 00:12:59,880 Speaker 1: into it, and the more we looked into it, the 234 00:13:00,040 --> 00:13:04,560 Speaker 1: more desperate we begin to feel. And to this day, 235 00:13:04,640 --> 00:13:09,839 Speaker 1: that episode has never been recorded. So listeners, I'm just 236 00:13:09,880 --> 00:13:11,720 Speaker 1: gonna throw this out in the middle of the episode. 237 00:13:11,880 --> 00:13:15,160 Speaker 1: If you in fact want to hear how cantenna's work 238 00:13:15,840 --> 00:13:19,480 Speaker 1: and you are curious about the technology that nearly broke text, 239 00:13:19,480 --> 00:13:23,080 Speaker 1: stuff right in and let me know, and I will 240 00:13:23,160 --> 00:13:25,760 Speaker 1: once again go back to the drawing board and attempt 241 00:13:25,840 --> 00:13:29,160 Speaker 1: to explain it. Because yeah, I mean, I feel a 242 00:13:29,200 --> 00:13:31,880 Speaker 1: little more confident than I did back in those days. 243 00:13:31,880 --> 00:13:34,920 Speaker 1: But even so, there's a there's there's a lot of 244 00:13:34,920 --> 00:13:37,679 Speaker 1: physics involved. There's a lot of things about the wavelength 245 00:13:37,720 --> 00:13:39,920 Speaker 1: of the radio waves that you're trying to pick up 246 00:13:39,960 --> 00:13:42,480 Speaker 1: and the relationship between the length of the antenna and 247 00:13:42,520 --> 00:13:46,480 Speaker 1: the wavelength. Yeah, yeah, because you have to have you know, 248 00:13:46,559 --> 00:13:48,880 Speaker 1: that's when you see these antenna that have that are 249 00:13:48,920 --> 00:13:52,680 Speaker 1: really really tall for certain types of wavelengths of radio waves, 250 00:13:52,720 --> 00:13:56,720 Speaker 1: because that's the efficient means of picking up that frequency, 251 00:13:57,000 --> 00:13:59,160 Speaker 1: and it has to be a certain fraction of the 252 00:13:59,160 --> 00:14:02,120 Speaker 1: wavelength for you to be able to do that. Not 253 00:14:02,400 --> 00:14:07,880 Speaker 1: something that all of us can easily do. But that's fantastic. 254 00:14:07,920 --> 00:14:11,880 Speaker 1: I mean, I love I love this idea of of 255 00:14:11,880 --> 00:14:15,640 Speaker 1: of using modern technology to achieve something that in the 256 00:14:15,679 --> 00:14:20,960 Speaker 1: old days, a very small dedicated population had access to 257 00:14:21,040 --> 00:14:24,360 Speaker 1: but anyone outside of that it just remained completely foreign. 258 00:14:24,840 --> 00:14:26,400 Speaker 1: And so now you can just go out and get 259 00:14:26,400 --> 00:14:30,320 Speaker 1: the pieces. I figure, you know, when the zombie apocalypse 260 00:14:30,400 --> 00:14:34,160 Speaker 1: happens and there's a big E m F and we 261 00:14:34,240 --> 00:14:36,800 Speaker 1: have to make sure that, you know, we have a 262 00:14:36,800 --> 00:14:41,240 Speaker 1: Faraday cage protecting our ham radio operations. I'm just gonna 263 00:14:41,280 --> 00:14:43,520 Speaker 1: have this little intenda in a little USB cable in 264 00:14:43,560 --> 00:14:45,480 Speaker 1: my laptop. I'll stick those in a fair Day cage, 265 00:14:45,520 --> 00:14:47,280 Speaker 1: and after the E m F happens, I'll plug him 266 00:14:47,280 --> 00:14:50,160 Speaker 1: in and I'll be good to go. Yeah, it's it's 267 00:14:50,160 --> 00:14:56,960 Speaker 1: good to have someone cheerful about the zombie apocalypse. Well, 268 00:14:56,960 --> 00:14:59,360 Speaker 1: we have walkers here in Atlanta, so I mean, it's 269 00:14:59,360 --> 00:15:01,560 Speaker 1: just that's true. It's just a way of life here. 270 00:15:01,640 --> 00:15:03,840 Speaker 1: You know. You you know, you're on your way to 271 00:15:03,880 --> 00:15:06,800 Speaker 1: the train station, you've got to dodge an entire group 272 00:15:06,800 --> 00:15:08,760 Speaker 1: of zombies. I joke about it, but there was a 273 00:15:08,840 --> 00:15:11,800 Speaker 1: day when I could not get to my favorite diner 274 00:15:12,040 --> 00:15:14,880 Speaker 1: because there was a mob of zombies between me and 275 00:15:15,040 --> 00:15:19,160 Speaker 1: the diner. That's awesome. Yeah, that's the wonderful thing about 276 00:15:19,160 --> 00:15:23,880 Speaker 1: people actually shooting on location. Moving on to other tech questions, 277 00:15:24,640 --> 00:15:27,080 Speaker 1: I want to know you've you've been covering technology for 278 00:15:27,160 --> 00:15:30,400 Speaker 1: a really long time and in various ways. Are there 279 00:15:30,440 --> 00:15:35,960 Speaker 1: any particular stories in tech that you really felt were 280 00:15:36,000 --> 00:15:39,720 Speaker 1: important and either you feel they weren't given the appropriate 281 00:15:39,720 --> 00:15:42,840 Speaker 1: amount of attention or maybe you feel like it's faded 282 00:15:42,920 --> 00:15:47,480 Speaker 1: from memory and should be brought back. Oh, that's a 283 00:15:47,520 --> 00:15:50,920 Speaker 1: good question. Well, the first one is still kind of 284 00:15:50,960 --> 00:15:54,000 Speaker 1: in the news, and it's the whole Edward Snowden thing. Yes, 285 00:15:54,080 --> 00:15:56,800 Speaker 1: and there were there were a whole bunch of hacks 286 00:15:56,800 --> 00:15:59,560 Speaker 1: and a whole bunch of security issues. Wait before Edwards 287 00:15:59,560 --> 00:16:02,440 Speaker 1: Snowden him along, but he really brought a lot of 288 00:16:02,480 --> 00:16:04,480 Speaker 1: it to light for the public. And I think that 289 00:16:04,560 --> 00:16:07,120 Speaker 1: was really really important because a lot of the public 290 00:16:07,160 --> 00:16:10,320 Speaker 1: just doesn't care about their security, and now that this 291 00:16:10,400 --> 00:16:13,120 Speaker 1: is starting to become an issue, they're starting to pay 292 00:16:13,160 --> 00:16:16,000 Speaker 1: more attention to when they you know, when they connect 293 00:16:16,000 --> 00:16:18,640 Speaker 1: their phone to open wireless, or when they go to 294 00:16:18,720 --> 00:16:21,800 Speaker 1: the Starbucks and somebody and they give somebody their password 295 00:16:21,920 --> 00:16:24,040 Speaker 1: or whatever it might be. So I think that was 296 00:16:24,080 --> 00:16:27,880 Speaker 1: really important. And the second thing I'm really itching to 297 00:16:27,920 --> 00:16:32,080 Speaker 1: see more of in the tech Techisphere would be women 298 00:16:32,160 --> 00:16:35,000 Speaker 1: in tech news about women that are, you know, taking 299 00:16:35,000 --> 00:16:37,480 Speaker 1: over for companies like um, the woman that works at 300 00:16:37,520 --> 00:16:39,880 Speaker 1: Yeah who. That was a really really big news thing 301 00:16:40,320 --> 00:16:42,840 Speaker 1: and she got a lot of controversy when she first started, 302 00:16:42,880 --> 00:16:46,440 Speaker 1: and most of it was just because she was a woman. Um. 303 00:16:46,480 --> 00:16:49,440 Speaker 1: I think it's really important to get more women into 304 00:16:50,160 --> 00:16:52,880 Speaker 1: working in tech, whether that's just reporting on it or 305 00:16:52,960 --> 00:16:56,640 Speaker 1: actually doing behind the scenes stuff like hacking and programming. 306 00:16:56,880 --> 00:16:59,480 Speaker 1: It's so so important to me that I'm able to 307 00:16:59,800 --> 00:17:01,880 Speaker 1: you know, watch this and report on it as it 308 00:17:01,920 --> 00:17:07,280 Speaker 1: comes along and hopefully it's good stuff that I'm reporting on. Yeah, yeah, Yeah. 309 00:17:07,320 --> 00:17:12,840 Speaker 1: We've also taken a few stabs at covering those those uh, 310 00:17:12,960 --> 00:17:16,840 Speaker 1: those stories as well, including I did an episode recently 311 00:17:17,040 --> 00:17:20,320 Speaker 1: where I brought in Kristen Conger of stuff. Mom never 312 00:17:20,359 --> 00:17:23,760 Speaker 1: told her. She's been. She's phenomenal. Right, yeah, you've done 313 00:17:23,760 --> 00:17:27,040 Speaker 1: You've done some um hangouts with her, right hangouts. She's 314 00:17:27,119 --> 00:17:30,320 Speaker 1: so funny, she is, she's hilarious and she really knows 315 00:17:30,320 --> 00:17:32,720 Speaker 1: her stuff. And she joined me and we had a 316 00:17:32,960 --> 00:17:37,560 Speaker 1: nice frank conversation about Anita Sarkeesian and her work with 317 00:17:37,640 --> 00:17:41,320 Speaker 1: the women versus our troops versus women in video games, 318 00:17:41,440 --> 00:17:44,359 Speaker 1: and yeah it was. It's a fantastic episode. If you 319 00:17:44,400 --> 00:17:46,320 Speaker 1: guys haven't listened to it, you should definitely go and 320 00:17:46,400 --> 00:17:49,239 Speaker 1: check that out. Kristen makes some great points. Um, and 321 00:17:49,280 --> 00:17:53,119 Speaker 1: I fumbled my way through and uh, as is my want. 322 00:17:53,560 --> 00:17:56,560 Speaker 1: But that's why I feel the same way. I feel 323 00:17:56,680 --> 00:17:59,840 Speaker 1: very strongly about that, because I I am fortunate to 324 00:18:00,040 --> 00:18:03,840 Speaker 1: work in an office that is filled with some of 325 00:18:03,880 --> 00:18:08,439 Speaker 1: the most intelligent people I've ever had the luxury to know, 326 00:18:08,760 --> 00:18:13,439 Speaker 1: and there men and women who are constantly keeping me 327 00:18:13,480 --> 00:18:16,720 Speaker 1: on my toes and to just see that and to say, 328 00:18:16,760 --> 00:18:20,040 Speaker 1: why is this? This is something that's just this is 329 00:18:20,080 --> 00:18:23,280 Speaker 1: the norm. This is actually normal, and a lot of 330 00:18:23,320 --> 00:18:27,360 Speaker 1: people don't end up appreciating that. So the folks who 331 00:18:27,400 --> 00:18:29,960 Speaker 1: do report on those stories to make sure that they 332 00:18:30,000 --> 00:18:33,280 Speaker 1: do get the attention they deserve, get my respect quite 333 00:18:33,280 --> 00:18:36,399 Speaker 1: a bit. So now you've said that you have to 334 00:18:36,440 --> 00:18:41,000 Speaker 1: talk a lot about tech reviews, you know, the kind 335 00:18:41,040 --> 00:18:43,400 Speaker 1: of things that you have to look at. Are there 336 00:18:43,440 --> 00:18:48,920 Speaker 1: any tech products that you felt, you know, were absolutely stellar, 337 00:18:49,160 --> 00:18:51,840 Speaker 1: something that truly knocked your socks off? I mean, not 338 00:18:51,920 --> 00:18:57,119 Speaker 1: that it's an endorsement, I'm just curious. Yeah, there is, 339 00:18:57,240 --> 00:19:00,360 Speaker 1: and it's gonna sound really cheesy, but there's these things 340 00:19:00,400 --> 00:19:04,359 Speaker 1: called the neco Mimi ears. Are these the ears that 341 00:19:04,440 --> 00:19:09,000 Speaker 1: react to your emotional status. So it sounds really cheesy. 342 00:19:10,040 --> 00:19:12,760 Speaker 1: This this is a kitty cat ears that perk up 343 00:19:12,840 --> 00:19:15,720 Speaker 1: if you're if you get if you're like, uh, become 344 00:19:15,760 --> 00:19:19,879 Speaker 1: suddenly alert you're you're mentally Yeah, So this is um 345 00:19:20,080 --> 00:19:24,080 Speaker 1: this is not a big surprise. It shouldn't. I'm obsessed 346 00:19:24,119 --> 00:19:26,680 Speaker 1: with anime and I love cats, so if I can 347 00:19:26,760 --> 00:19:29,200 Speaker 1: cause play as a cat, I'm perfectly fine with this, 348 00:19:29,400 --> 00:19:32,280 Speaker 1: especially if the ears move. So a lot of people 349 00:19:32,320 --> 00:19:35,280 Speaker 1: think that these things are totally fake, but I have some, 350 00:19:35,680 --> 00:19:37,879 Speaker 1: and I've warned them a lot, and I know that 351 00:19:37,960 --> 00:19:41,840 Speaker 1: you can. You can train them. You can you can 352 00:19:41,840 --> 00:19:44,960 Speaker 1: make your brain things certain things, and you'll figure out 353 00:19:45,119 --> 00:19:47,440 Speaker 1: what things that you think about that will make them 354 00:19:47,440 --> 00:19:50,200 Speaker 1: twitch or make them move softly and go to sleep. 355 00:19:50,520 --> 00:19:54,720 Speaker 1: I figured out that if I do math, they twitch nice. Yeah, 356 00:19:54,800 --> 00:19:58,200 Speaker 1: it's I just think the the technology behind it is 357 00:19:58,280 --> 00:20:01,320 Speaker 1: really cool because they use the brain wave detector that 358 00:20:01,359 --> 00:20:03,760 Speaker 1: you put on your forehead as well as a little 359 00:20:03,760 --> 00:20:06,679 Speaker 1: one that you clip onto your ear, and it picks 360 00:20:06,760 --> 00:20:10,320 Speaker 1: up all sorts of different um you know, brain waves 361 00:20:10,359 --> 00:20:13,200 Speaker 1: that you're thinking about, so you can't really read your thoughts, 362 00:20:13,200 --> 00:20:16,960 Speaker 1: but it can read how active your brain is. And uh, 363 00:20:17,080 --> 00:20:19,159 Speaker 1: it's not only like the ears that have been created 364 00:20:19,160 --> 00:20:23,000 Speaker 1: out of this, but also I went to the yeahoo 365 00:20:23,119 --> 00:20:26,080 Speaker 1: um campus about a year ago and there was a 366 00:20:26,200 --> 00:20:30,280 Speaker 1: really really cool uh display of this out in there, 367 00:20:30,320 --> 00:20:33,160 Speaker 1: just in their backyard. Basically, somebody had built a huge 368 00:20:33,240 --> 00:20:36,800 Speaker 1: like PVC piped ahead of a person, a human head, 369 00:20:36,840 --> 00:20:38,399 Speaker 1: but it was like ten ft tall and it was 370 00:20:38,440 --> 00:20:41,199 Speaker 1: really big and um. They lit it up with a 371 00:20:41,200 --> 00:20:42,960 Speaker 1: bunch of l d s and if you sit down 372 00:20:43,000 --> 00:20:46,280 Speaker 1: and put on the brain wave sensors, it would start 373 00:20:46,280 --> 00:20:49,480 Speaker 1: activating different l eds depending on how active your brain was. 374 00:20:49,560 --> 00:20:51,560 Speaker 1: And it was such a huge display that you could 375 00:20:51,560 --> 00:20:53,440 Speaker 1: see it from really really far away and it would 376 00:20:53,440 --> 00:20:57,240 Speaker 1: just light up the entire the entire yard. It was beautiful. Really, 377 00:20:58,560 --> 00:21:01,560 Speaker 1: it's uh it reminds me actually of and I'm sure 378 00:21:01,640 --> 00:21:04,800 Speaker 1: you've you've heard of this too, people who are using 379 00:21:05,280 --> 00:21:08,879 Speaker 1: uh a similar set up, but instead of detecting brain waves, 380 00:21:09,160 --> 00:21:15,919 Speaker 1: they're trying to stimulate cognitive abilities by using light electrical current. 381 00:21:16,960 --> 00:21:19,520 Speaker 1: And it's the same sort of thing. You have one 382 00:21:19,520 --> 00:21:22,880 Speaker 1: one like sponge with an electrode in it that's over 383 00:21:23,160 --> 00:21:26,879 Speaker 1: essentially over uh, not quite over on your temple, but 384 00:21:26,960 --> 00:21:29,479 Speaker 1: sort of over your eyebrow, and another one that is 385 00:21:29,720 --> 00:21:32,800 Speaker 1: closer to your temple on the other side, and UH 386 00:21:33,000 --> 00:21:37,320 Speaker 1: you use that to stimulate your your brains activity, and 387 00:21:38,200 --> 00:21:43,080 Speaker 1: anecdotal UH responses say that helps boost things like, uh, 388 00:21:43,119 --> 00:21:47,080 Speaker 1: your your mental acuity, and um, of course this sort 389 00:21:47,119 --> 00:21:49,960 Speaker 1: of thing I should, I should add is something you 390 00:21:50,000 --> 00:21:54,040 Speaker 1: want to be careful with. And I would not recommend 391 00:21:54,080 --> 00:21:56,159 Speaker 1: any of my listeners actually rush out and try and 392 00:21:56,200 --> 00:21:58,800 Speaker 1: do this. I did. Ah. I have another show called 393 00:21:58,840 --> 00:22:02,359 Speaker 1: Forward Thinking where UH Joe McCormick and I talked about 394 00:22:02,359 --> 00:22:05,199 Speaker 1: it and UH and he's he's the one of the 395 00:22:05,240 --> 00:22:08,199 Speaker 1: writers for the Forward Thinking Show, and he and I 396 00:22:08,440 --> 00:22:11,040 Speaker 1: and and my former co host Lauren we all talked 397 00:22:11,040 --> 00:22:13,160 Speaker 1: about this stuff and they were shocked when I said, yeah, 398 00:22:13,160 --> 00:22:16,560 Speaker 1: I I might try this, and they all thought you 399 00:22:16,640 --> 00:22:21,359 Speaker 1: were crazy, isn't you should? So now now that we've 400 00:22:21,400 --> 00:22:23,760 Speaker 1: talked about some of the stuff you've done since you 401 00:22:23,840 --> 00:22:27,560 Speaker 1: do work also with UH hacking in general and things 402 00:22:27,600 --> 00:22:31,200 Speaker 1: like you mentioned, you know, the not you know, being 403 00:22:31,280 --> 00:22:34,040 Speaker 1: very careful if you're using public WiFi that kind of thing. 404 00:22:34,640 --> 00:22:37,800 Speaker 1: What sort of tips would you have to give someone 405 00:22:37,800 --> 00:22:42,320 Speaker 1: who wants to just be now generally safe with their 406 00:22:42,400 --> 00:22:44,719 Speaker 1: their wife. I use these are questions that come in 407 00:22:44,760 --> 00:22:46,760 Speaker 1: all the time, and I've even done episodes on it. 408 00:22:46,800 --> 00:22:49,240 Speaker 1: But it's always good to talk to someone who who 409 00:22:49,320 --> 00:22:53,119 Speaker 1: extensively covers this issue. Oh absolutely, I cover this stuff 410 00:22:53,160 --> 00:22:56,359 Speaker 1: like every darn day. This is the only thing I 411 00:22:56,400 --> 00:22:59,119 Speaker 1: talked about, so um. First off, if you do have 412 00:22:59,240 --> 00:23:01,840 Speaker 1: to go to a public WiFi place, and if you 413 00:23:01,920 --> 00:23:05,479 Speaker 1: have to use public WiFi, which I definitely recommend not 414 00:23:05,640 --> 00:23:09,280 Speaker 1: to uh. In fact, if you have the option just 415 00:23:09,720 --> 00:23:14,280 Speaker 1: transfer your cell phone data from your phone to your laptop, 416 00:23:14,320 --> 00:23:16,600 Speaker 1: if you have that option with your cell phone provider, 417 00:23:16,880 --> 00:23:18,760 Speaker 1: that would be a much safer way as opposed to 418 00:23:19,080 --> 00:23:22,320 Speaker 1: doing you know, open wireless wherever you go. So, if 419 00:23:22,359 --> 00:23:25,439 Speaker 1: you have to connect to open wireless, first off, make 420 00:23:25,480 --> 00:23:28,520 Speaker 1: sure you're not logging into anything like your banks or 421 00:23:28,560 --> 00:23:34,640 Speaker 1: your UH email accounts, or anything specifically related to your 422 00:23:34,680 --> 00:23:39,800 Speaker 1: personal identifying information. If you do your password and use 423 00:23:39,840 --> 00:23:42,159 Speaker 1: your name could be stolen. It's really really easy to 424 00:23:42,240 --> 00:23:46,760 Speaker 1: do well, not so surprisingly uh. Secondly, if you are 425 00:23:46,840 --> 00:23:49,240 Speaker 1: on open wireless, make sure that each and every single 426 00:23:49,280 --> 00:23:51,640 Speaker 1: password that you do use on all your different sites 427 00:23:51,760 --> 00:23:54,720 Speaker 1: is different. So if somebody did end up snooping your 428 00:23:54,800 --> 00:23:56,720 Speaker 1: usual name and password, they want to be able to 429 00:23:56,800 --> 00:24:00,480 Speaker 1: use it to get into some alternative site. So if 430 00:24:00,520 --> 00:24:04,280 Speaker 1: your Facebook password is like god sex Love, which if 431 00:24:04,320 --> 00:24:07,480 Speaker 1: you watch tackers you probably recommend nize that, then you 432 00:24:07,520 --> 00:24:10,119 Speaker 1: don't want to use God sets love over on you know, 433 00:24:10,480 --> 00:24:13,760 Speaker 1: Bank of America dot Com or whatever you're banking credentials 434 00:24:13,800 --> 00:24:18,000 Speaker 1: might be. So that would be helpful. Um, what else 435 00:24:18,040 --> 00:24:21,560 Speaker 1: would be good? Oh, use a password reminder. Those are 436 00:24:21,640 --> 00:24:24,680 Speaker 1: awesome tools to have, and I use one on my computer. 437 00:24:24,880 --> 00:24:29,040 Speaker 1: It's called last Pass. Last Pass is amazing. It just 438 00:24:29,280 --> 00:24:33,320 Speaker 1: basically generates all these really really random characters for each 439 00:24:33,359 --> 00:24:35,199 Speaker 1: and every single password that I use, So all of 440 00:24:35,200 --> 00:24:38,160 Speaker 1: my passwords are different. And uh, if I log into 441 00:24:38,200 --> 00:24:40,960 Speaker 1: anything I know that, you know, it's going to be 442 00:24:41,000 --> 00:24:44,080 Speaker 1: really easy to find that in my last past vault. 443 00:24:44,480 --> 00:24:46,760 Speaker 1: But it's going to be so hard to memorize and 444 00:24:46,840 --> 00:24:51,480 Speaker 1: so hard to basically crack that it would take somebody days, 445 00:24:51,560 --> 00:24:53,719 Speaker 1: if not you know, months, to be able to crack it. 446 00:24:54,119 --> 00:24:56,680 Speaker 1: So I'm not too worried about my passwords and use 447 00:24:56,720 --> 00:25:01,920 Speaker 1: two factor authentication. I loved two factor authentication. So t 448 00:25:02,160 --> 00:25:05,560 Speaker 1: f A or t F to f A is it 449 00:25:05,600 --> 00:25:10,320 Speaker 1: basically means that it's using two different versions of information 450 00:25:10,760 --> 00:25:13,760 Speaker 1: to access your accounts. So it could be something you 451 00:25:13,840 --> 00:25:18,200 Speaker 1: know and something you have, or it could be yeah 452 00:25:18,320 --> 00:25:20,600 Speaker 1: like that. So for me, it would be something I know, 453 00:25:20,680 --> 00:25:23,160 Speaker 1: which is my password, and then something I have, which 454 00:25:23,240 --> 00:25:26,480 Speaker 1: is a token I D on my phone. So unless 455 00:25:26,480 --> 00:25:28,679 Speaker 1: I have both of those things, I'm not able to 456 00:25:28,720 --> 00:25:31,639 Speaker 1: log onto my accounts on any kind of wireless no 457 00:25:31,640 --> 00:25:34,600 Speaker 1: matter where it is. Right, I'm really hopeful that two 458 00:25:34,600 --> 00:25:39,520 Speaker 1: factor authentication becomes the norm for most logins, at least 459 00:25:39,560 --> 00:25:43,520 Speaker 1: for things that you need to log into regularly. I 460 00:25:44,400 --> 00:25:46,679 Speaker 1: use it for I use it for my email, I 461 00:25:46,760 --> 00:25:50,439 Speaker 1: use it for use it for Facebook. UM, so I 462 00:25:50,560 --> 00:25:54,280 Speaker 1: use it for the things that I whenever it's possible, 463 00:25:54,760 --> 00:25:57,480 Speaker 1: And like you, I use a password reminder system, a 464 00:25:57,560 --> 00:26:00,919 Speaker 1: vault system. I use dash ling, which is similar to 465 00:26:00,960 --> 00:26:05,680 Speaker 1: last Pass. Yeah, it's dash len is pretty cool. It's 466 00:26:05,840 --> 00:26:09,199 Speaker 1: uh one of those that that also has the cloud 467 00:26:09,200 --> 00:26:12,040 Speaker 1: based UM system, so that if you are on someone 468 00:26:12,040 --> 00:26:15,240 Speaker 1: else's computer and you need to access something, you can 469 00:26:15,280 --> 00:26:20,159 Speaker 1: access it through the website. Uh, you know, go to 470 00:26:20,240 --> 00:26:22,840 Speaker 1: dash Len's website and access your passwords that way, and 471 00:26:22,840 --> 00:26:25,479 Speaker 1: that way you don't have to download anything to that 472 00:26:25,520 --> 00:26:29,320 Speaker 1: person's computer. And that's useful. So really you just the 473 00:26:29,760 --> 00:26:31,760 Speaker 1: key to those is that you usually have to have 474 00:26:31,920 --> 00:26:35,560 Speaker 1: one master password that will get you into the vault 475 00:26:35,840 --> 00:26:38,240 Speaker 1: so that the vault knows you are who you claim 476 00:26:38,320 --> 00:26:41,240 Speaker 1: to be. And uh even that dash Len and I 477 00:26:41,240 --> 00:26:44,280 Speaker 1: think has uh two factor authentication as well. I think 478 00:26:44,280 --> 00:26:46,159 Speaker 1: I always get a message on my phone whenever I 479 00:26:46,200 --> 00:26:49,159 Speaker 1: have to do a white on a computer on a 480 00:26:49,200 --> 00:26:53,159 Speaker 1: computer I'm rebuilding a computer or something. Uh that's I 481 00:26:53,880 --> 00:26:55,719 Speaker 1: go in and attack my password super fast to hit 482 00:26:55,760 --> 00:26:58,240 Speaker 1: and I'm ready for it to load up. Oh that's right. 483 00:26:58,560 --> 00:27:01,320 Speaker 1: Let me get my phone, gotta go type in this 484 00:27:01,359 --> 00:27:05,080 Speaker 1: text message. Yeah. So that's that's great advice. I really 485 00:27:05,160 --> 00:27:08,400 Speaker 1: much appreciate it. So now I want to ask you, 486 00:27:09,600 --> 00:27:13,200 Speaker 1: are there any things in tech like, are there any 487 00:27:13,280 --> 00:27:17,040 Speaker 1: areas in tech that you haven't really had a chance 488 00:27:17,080 --> 00:27:20,000 Speaker 1: to dive into yet that you would love a chance 489 00:27:20,040 --> 00:27:28,520 Speaker 1: to explore further? Maybe it's a texture, There are, yes, yes, 490 00:27:28,800 --> 00:27:33,520 Speaker 1: there is. I just remembered car tech. Okay, I know 491 00:27:33,600 --> 00:27:37,919 Speaker 1: almost nothing about cars. It's so sad, really, but I 492 00:27:37,920 --> 00:27:40,159 Speaker 1: know that there's all sorts of crazy cool hacks that 493 00:27:40,200 --> 00:27:42,919 Speaker 1: you can do with newer cars on the market. Like 494 00:27:42,960 --> 00:27:46,760 Speaker 1: I just saw a guy on YouTube. He has a Tesla. 495 00:27:46,920 --> 00:27:48,600 Speaker 1: I don't know how I can afford one of those things, 496 00:27:48,600 --> 00:27:51,400 Speaker 1: but he has a Tesla and he has a this 497 00:27:51,480 --> 00:27:55,280 Speaker 1: hack RF, which is a software defined radio that you 498 00:27:55,280 --> 00:27:58,399 Speaker 1: can plug into your computer. Basically, so he took this 499 00:27:58,600 --> 00:28:02,960 Speaker 1: radio and the sentence and he played a frequency through 500 00:28:03,359 --> 00:28:05,960 Speaker 1: the antenna. He transmitted it nearest Tesla and he was 501 00:28:06,040 --> 00:28:08,920 Speaker 1: able to open the little gas control on his on 502 00:28:09,000 --> 00:28:11,600 Speaker 1: his Tesla, and I was like, that is so crazy cool. 503 00:28:11,640 --> 00:28:13,680 Speaker 1: I didn't know you could do that. And apparently you 504 00:28:13,760 --> 00:28:16,399 Speaker 1: can do things with like the little key fobs that 505 00:28:16,480 --> 00:28:19,040 Speaker 1: you received with cars when you buy him new. You know, 506 00:28:19,160 --> 00:28:21,640 Speaker 1: those things are crazy expensive, but it turns out every 507 00:28:21,680 --> 00:28:23,800 Speaker 1: time you hit the unlocked button or the lock button, 508 00:28:24,080 --> 00:28:27,000 Speaker 1: they send the same frequency, but it's encoded in a 509 00:28:27,080 --> 00:28:29,400 Speaker 1: different way, so you can't copy it and you can't 510 00:28:29,720 --> 00:28:32,800 Speaker 1: create your own key fob to open and break into 511 00:28:32,840 --> 00:28:36,560 Speaker 1: other people's cars. It's like, so cool, that's pretty awesome. 512 00:28:37,000 --> 00:28:38,960 Speaker 1: I get really excited about stuff like that, so I 513 00:28:39,040 --> 00:28:41,080 Speaker 1: need to learn more about cars. Well, we've got a 514 00:28:41,240 --> 00:28:44,080 Speaker 1: We've got a guy here. His named Scott Benjamin. He's 515 00:28:44,120 --> 00:28:47,480 Speaker 1: one of the two hosts for Car Stuff. And before 516 00:28:47,520 --> 00:28:49,320 Speaker 1: he came to How Stuff works, he worked in the 517 00:28:49,560 --> 00:28:53,320 Speaker 1: auto industry. Uh so he has a huge background in that. 518 00:28:53,400 --> 00:28:56,400 Speaker 1: He sits right next to me, and he's a very 519 00:28:56,520 --> 00:29:00,200 Speaker 1: quiet guy, very very polite, and then when you, uh, 520 00:29:00,360 --> 00:29:02,560 Speaker 1: when you really start chatting with him about cars, he 521 00:29:02,680 --> 00:29:05,840 Speaker 1: just he lights up. And so we've had a couple 522 00:29:05,840 --> 00:29:08,200 Speaker 1: of discussions, and in fact, I just recorded an episode 523 00:29:08,240 --> 00:29:11,800 Speaker 1: with him where we talked about autonomous cars and all 524 00:29:11,840 --> 00:29:15,000 Speaker 1: the technology that goes into making that possible, and how 525 00:29:15,520 --> 00:29:20,040 Speaker 1: some of that technology is finding its way into consumer 526 00:29:20,120 --> 00:29:23,240 Speaker 1: vehicles today. They're not autonomous vehicles, but they are my 527 00:29:23,360 --> 00:29:27,440 Speaker 1: car parks itself. Yeah, it's the best thing ever. Well yeah, 528 00:29:27,560 --> 00:29:29,920 Speaker 1: especially if you live in say like the Bay Area. 529 00:29:30,360 --> 00:29:32,720 Speaker 1: Oh yeah, if you don't know how to parallel park 530 00:29:32,760 --> 00:29:34,560 Speaker 1: out here, you can't park. And I don't know how 531 00:29:34,600 --> 00:29:37,440 Speaker 1: to parallel park because I grew up in Missouri. So yeah, 532 00:29:37,520 --> 00:29:39,959 Speaker 1: and and also you didn't have to worry about parallel 533 00:29:40,000 --> 00:29:42,440 Speaker 1: parking on a on a hill that has like a 534 00:29:42,520 --> 00:29:45,560 Speaker 1: forty degree incline. Very true. So I just let my 535 00:29:45,600 --> 00:29:48,360 Speaker 1: car do it for me. That's a good it was 536 00:29:48,360 --> 00:29:52,000 Speaker 1: a good investment. He was talking about a system that would, 537 00:29:52,120 --> 00:29:54,280 Speaker 1: uh would even get to the point where it lets 538 00:29:54,360 --> 00:29:57,040 Speaker 1: you out at the curb of say a mall, and 539 00:29:57,120 --> 00:29:59,720 Speaker 1: then it goes and looks for a parking spot and 540 00:30:00,000 --> 00:30:02,280 Speaker 1: of itself, and then when you come out, you hit 541 00:30:02,320 --> 00:30:04,560 Speaker 1: your little key fob and then it comes and finds you. 542 00:30:04,960 --> 00:30:08,720 Speaker 1: Oh my gosh, it's like a puppy. Yeah. Yeah, again, 543 00:30:08,840 --> 00:30:12,880 Speaker 1: it's getting closer and closer to the truly driverless cars, um, 544 00:30:13,120 --> 00:30:16,480 Speaker 1: which I cannot wait for personally since I don't I 545 00:30:16,640 --> 00:30:19,240 Speaker 1: don't drive, so for me, that would be a wonderful thing. 546 00:30:19,880 --> 00:30:25,680 Speaker 1: So what do you find frustrating as someone who covers technology? 547 00:30:25,840 --> 00:30:30,000 Speaker 1: What what sort of things do you think would you 548 00:30:30,080 --> 00:30:33,560 Speaker 1: like to see change just in all the sort of 549 00:30:33,600 --> 00:30:38,720 Speaker 1: stuff you do, um, being a woman in tech. So yeah, 550 00:30:38,800 --> 00:30:41,280 Speaker 1: that would be a big one, right, Not not that 551 00:30:41,360 --> 00:30:43,400 Speaker 1: you would change being a woman, but that you would 552 00:30:43,480 --> 00:30:47,800 Speaker 1: change how everyone behaves towards you. Yeah, exactly. Yeah. Well, 553 00:30:47,840 --> 00:30:51,440 Speaker 1: I didn't really feel strong and self worthy until a 554 00:30:51,520 --> 00:30:54,120 Speaker 1: few years ago. You know, I've been doing this since 555 00:30:54,240 --> 00:30:57,160 Speaker 1: two thousand and eight, and I've dealt with all sorts 556 00:30:57,240 --> 00:31:00,440 Speaker 1: of rude things being thrown at me, people calling me 557 00:31:00,520 --> 00:31:03,480 Speaker 1: stupid or calling me a nube. And yeah, I think 558 00:31:03,520 --> 00:31:05,480 Speaker 1: I'm anub about certain things, but when they call me 559 00:31:05,520 --> 00:31:08,320 Speaker 1: a nub about what I'm researching and talking about, I'm like, no, no, 560 00:31:08,480 --> 00:31:11,000 Speaker 1: I'm not here. I can teach you this too. Let 561 00:31:11,040 --> 00:31:14,280 Speaker 1: me show you how this works. Yeah, no, it's it's 562 00:31:14,320 --> 00:31:19,080 Speaker 1: it's it's irritating because they act not only as if 563 00:31:19,200 --> 00:31:22,200 Speaker 1: you don't know anything, but that you could not know anything, 564 00:31:22,320 --> 00:31:25,360 Speaker 1: that you you are incapable of learning even if you 565 00:31:26,080 --> 00:31:27,920 Speaker 1: you know, I didn't know it. First of all, you 566 00:31:28,040 --> 00:31:30,640 Speaker 1: already know it. Second of all, you have the capacity 567 00:31:30,720 --> 00:31:32,760 Speaker 1: to learn even if it if it is something you 568 00:31:32,840 --> 00:31:35,520 Speaker 1: don't know, you can learn it. That's exactly right. I 569 00:31:35,640 --> 00:31:37,800 Speaker 1: learned something new every single day. That's one of my 570 00:31:37,880 --> 00:31:41,080 Speaker 1: goals is learning something new every day, no matter how smaller, 571 00:31:41,240 --> 00:31:42,720 Speaker 1: how big it is, and then I try to teach 572 00:31:42,760 --> 00:31:45,160 Speaker 1: other people that thing that I learned. Yeah, that's that's 573 00:31:45,240 --> 00:31:48,000 Speaker 1: kind of how how stuff works works. Just sort of 574 00:31:48,040 --> 00:31:52,720 Speaker 1: the philosophy of our company and our website. So there's 575 00:31:52,800 --> 00:31:55,680 Speaker 1: no one here at this company who doesn't learn something 576 00:31:55,760 --> 00:31:59,640 Speaker 1: new every day. Um, and then of course it's our 577 00:31:59,760 --> 00:32:02,560 Speaker 1: job to try and communicate that to our audience in 578 00:32:02,600 --> 00:32:05,440 Speaker 1: a way that makes sense and is accurate. You know, 579 00:32:05,520 --> 00:32:08,240 Speaker 1: those are two things that are challenging. You know. Yeah, 580 00:32:08,360 --> 00:32:12,520 Speaker 1: I've had I've had a few experiences where like I 581 00:32:12,560 --> 00:32:15,440 Speaker 1: would have email from a fan and they'd say like, oh, 582 00:32:15,560 --> 00:32:18,080 Speaker 1: I think this is really cool and it's so easy 583 00:32:18,160 --> 00:32:22,240 Speaker 1: even you could do it, And I'm just like, really, 584 00:32:23,840 --> 00:32:26,840 Speaker 1: how you feel? And the side part is, I don't 585 00:32:26,960 --> 00:32:29,560 Speaker 1: think that a lot of times people realize that they're 586 00:32:29,600 --> 00:32:33,440 Speaker 1: being somewhat downgrading, and it's just because they perceive women 587 00:32:33,600 --> 00:32:36,680 Speaker 1: as not supposed to be in the tech field. So 588 00:32:36,920 --> 00:32:39,680 Speaker 1: they just figure, oh, well, you're in you're in the field. Well, 589 00:32:39,720 --> 00:32:42,360 Speaker 1: you're just here because you're pretty. You're in the field. 590 00:32:42,400 --> 00:32:44,640 Speaker 1: You're just here to you know, hang out with the 591 00:32:45,040 --> 00:32:47,720 Speaker 1: cool guys whatever. It might be like, No, I'm not, 592 00:32:47,880 --> 00:32:50,960 Speaker 1: I'm here because I want to build a new computer. Well, 593 00:32:52,040 --> 00:32:54,840 Speaker 1: more power to you, is what I say. So who 594 00:32:54,920 --> 00:32:57,080 Speaker 1: are some of the people that you really like to 595 00:32:57,640 --> 00:33:01,240 Speaker 1: uh to work with or or listen to. I don't 596 00:33:01,280 --> 00:33:03,640 Speaker 1: know if you have time to actually listen to other podcasts. 597 00:33:04,000 --> 00:33:06,520 Speaker 1: It's getting harder and harder, especially if you're working on 598 00:33:06,720 --> 00:33:09,360 Speaker 1: five or six shows, you probably don't have a whole 599 00:33:09,400 --> 00:33:11,360 Speaker 1: lot of spare time. But I'm just curious, who are 600 00:33:11,400 --> 00:33:14,960 Speaker 1: the people that you you look to as your favorite 601 00:33:15,040 --> 00:33:19,520 Speaker 1: peers in the space. Um, well there's lots. Uh. There's 602 00:33:19,560 --> 00:33:22,160 Speaker 1: this guy Jonathan Strickland, who's great at what he does. 603 00:33:24,160 --> 00:33:29,440 Speaker 1: A bald idiot. Bald idiot. But that's very sweet. I 604 00:33:29,560 --> 00:33:32,280 Speaker 1: was not fishing for compliments. I'm just gonna blush. You 605 00:33:32,440 --> 00:33:35,800 Speaker 1: keep talking, Okay. So, um, one of my friends who 606 00:33:35,960 --> 00:33:39,280 Speaker 1: has been doing journalistic podcasting for a long time, his 607 00:33:39,400 --> 00:33:42,280 Speaker 1: name is Tom Merritt. You know, he's awesome. Uh. He 608 00:33:42,440 --> 00:33:45,320 Speaker 1: was one of the very very first podcasters that I 609 00:33:45,400 --> 00:33:49,320 Speaker 1: started listening to way back in college days, and I 610 00:33:49,440 --> 00:33:53,040 Speaker 1: thought that he was He was very understanding, his voice 611 00:33:53,280 --> 00:33:55,800 Speaker 1: was excellent to listen to, and he did his research. 612 00:33:55,880 --> 00:33:59,000 Speaker 1: He wasn't just you know, reading off articles. He was 613 00:33:59,080 --> 00:34:02,360 Speaker 1: actually going in depth and trying to find really interesting 614 00:34:02,440 --> 00:34:05,040 Speaker 1: information about everything that he was talking about. So I've 615 00:34:05,080 --> 00:34:07,400 Speaker 1: been listening to Tom merrit shows for a very long time. 616 00:34:07,720 --> 00:34:12,040 Speaker 1: He even he was my officiant for my wedding. Yeah, Tom, 617 00:34:12,200 --> 00:34:14,120 Speaker 1: Tom is uh. For those of you who do not 618 00:34:14,280 --> 00:34:17,560 Speaker 1: know Tom Merritt. Uh He He was a podcaster for 619 00:34:17,640 --> 00:34:20,000 Speaker 1: a very long time with c NET did a very 620 00:34:20,120 --> 00:34:23,000 Speaker 1: popular show called Buzz out Loud. He worked for a 621 00:34:23,080 --> 00:34:25,880 Speaker 1: while over at This Week in Tech. He was the 622 00:34:25,960 --> 00:34:29,200 Speaker 1: person who started tech News. Today. He now has his 623 00:34:29,280 --> 00:34:33,200 Speaker 1: own show that's supported by by listeners. Actually that he 624 00:34:33,360 --> 00:34:37,000 Speaker 1: uses Patreon to support his show, and that's the Daily 625 00:34:37,080 --> 00:34:40,279 Speaker 1: Tech News Show. And Tom Tom only is really good 626 00:34:40,320 --> 00:34:45,239 Speaker 1: at communicating uh tech news and explaining the context and 627 00:34:45,400 --> 00:34:49,960 Speaker 1: why it's important. He's also incredibly generous with his time, 628 00:34:50,160 --> 00:34:53,520 Speaker 1: and he loves to have other people come onto his 629 00:34:53,640 --> 00:34:58,040 Speaker 1: show and share their points of view and generally is 630 00:34:58,600 --> 00:35:02,440 Speaker 1: one of the nicest guy in podcasting that I've I've encountered. 631 00:35:03,000 --> 00:35:05,160 Speaker 1: Yeah me too. He was the first person to have 632 00:35:05,320 --> 00:35:08,000 Speaker 1: me on as a guest on another show, and that 633 00:35:08,120 --> 00:35:09,960 Speaker 1: was on buzz out Loud way back in the day. 634 00:35:11,440 --> 00:35:16,600 Speaker 1: Yeah yeah, Tom, good choice, good choice, We go back, 635 00:35:16,840 --> 00:35:18,880 Speaker 1: we go back in the days. I respect him very 636 00:35:19,000 --> 00:35:21,520 Speaker 1: much and I appreciate that he's let me kind of 637 00:35:22,080 --> 00:35:24,000 Speaker 1: go under his wing a little bit and ask him 638 00:35:24,120 --> 00:35:27,160 Speaker 1: questions whenever I need help. Um. One of my co workers, 639 00:35:27,200 --> 00:35:29,600 Speaker 1: Patrick Norton, He's been in the scene for a long time, 640 00:35:29,680 --> 00:35:32,000 Speaker 1: and he's he's really kind of taken me under his 641 00:35:32,080 --> 00:35:34,000 Speaker 1: wing as well, and he's taught me a lot about 642 00:35:34,080 --> 00:35:37,879 Speaker 1: podcasting and what he expects of me being on his show, 643 00:35:38,120 --> 00:35:40,000 Speaker 1: and I still consider it his show even though we're 644 00:35:40,040 --> 00:35:43,560 Speaker 1: both doing Taxola together. And um, last but not least, 645 00:35:43,640 --> 00:35:46,720 Speaker 1: one of my favorite women in the industry is Veronica Belmont, 646 00:35:46,800 --> 00:35:49,640 Speaker 1: another one of our good friends. Wow. Yeah, you've named 647 00:35:49,640 --> 00:35:54,480 Speaker 1: all the people that I know, because like now, working 648 00:35:54,680 --> 00:35:57,799 Speaker 1: in this field and working with these people, I've really 649 00:35:58,239 --> 00:36:00,800 Speaker 1: you know, learned about their personality, these and learned what 650 00:36:00,920 --> 00:36:03,920 Speaker 1: they're good at and what they still want to divulge in. 651 00:36:04,480 --> 00:36:06,759 Speaker 1: And a lot of them are you know, I feel 652 00:36:06,800 --> 00:36:09,880 Speaker 1: like they're experts in their fields. And UM, for me, 653 00:36:10,239 --> 00:36:12,880 Speaker 1: you know, Patrick and Tom are excellent people to look 654 00:36:12,960 --> 00:36:15,160 Speaker 1: up to as far as you know, what should I 655 00:36:15,239 --> 00:36:18,239 Speaker 1: do better from your standpoint. But Veronica for me, is 656 00:36:18,280 --> 00:36:21,200 Speaker 1: a great female perspective because she's been in it a 657 00:36:21,280 --> 00:36:24,200 Speaker 1: lot longer than I have. She went to school for um, 658 00:36:24,440 --> 00:36:28,120 Speaker 1: I believe for audio or something, UM. But she's she's 659 00:36:28,160 --> 00:36:30,359 Speaker 1: been in it long enough to you know, know, how 660 00:36:30,440 --> 00:36:34,799 Speaker 1: to cope with dealing with you know, anti female people 661 00:36:35,000 --> 00:36:40,560 Speaker 1: in the world and how to deal with industry. Yeah, exactly. 662 00:36:40,960 --> 00:36:43,520 Speaker 1: So I've asked her a lot of questions about like, hey, 663 00:36:43,600 --> 00:36:45,320 Speaker 1: how do I deal with this comment on YouTube and 664 00:36:45,360 --> 00:36:47,040 Speaker 1: stuff like that, and she's been really helpful in that 665 00:36:47,120 --> 00:36:51,080 Speaker 1: way as well. Yeah, I I respect the heck out 666 00:36:51,160 --> 00:36:53,759 Speaker 1: of all the people you have mentioned. I have so 667 00:36:53,840 --> 00:36:56,239 Speaker 1: many other friends that are in in the field, Like 668 00:36:56,520 --> 00:36:58,440 Speaker 1: you know, I work with Darren Kitchen and he's this 669 00:36:58,920 --> 00:37:01,839 Speaker 1: amazing hacker and he's taught me a lot as well, 670 00:37:02,040 --> 00:37:05,799 Speaker 1: Like anytime I have a question on hack five, I'm like, dude, 671 00:37:06,040 --> 00:37:07,640 Speaker 1: how do I do this? And he can explain it 672 00:37:07,719 --> 00:37:10,360 Speaker 1: to me in a detail that breaks it down so 673 00:37:10,920 --> 00:37:13,279 Speaker 1: so good, and I'm just like, holy crap, I'm so 674 00:37:13,480 --> 00:37:16,479 Speaker 1: happy that I work with you. Yeah, there's just there's 675 00:37:16,560 --> 00:37:18,839 Speaker 1: so many people in this field that you can learn from, 676 00:37:18,920 --> 00:37:21,400 Speaker 1: and I'm trying to use as much as that of 677 00:37:21,520 --> 00:37:24,200 Speaker 1: that to my advantage as I can it. To me, 678 00:37:24,360 --> 00:37:27,680 Speaker 1: what's phenomenal is that, uh, and this is peaked behind 679 00:37:27,719 --> 00:37:30,440 Speaker 1: the curtain for for our podcast listeners. A lot of 680 00:37:30,520 --> 00:37:35,319 Speaker 1: podcasters are happy to help out each other, and it's 681 00:37:35,800 --> 00:37:38,400 Speaker 1: there's no real ego there for a lot of them. 682 00:37:38,440 --> 00:37:41,320 Speaker 1: I'm sure there's some that are exceptions, but you and 683 00:37:41,400 --> 00:37:43,960 Speaker 1: I've I've felt that I've I've worked with that before. 684 00:37:44,120 --> 00:37:46,120 Speaker 1: But you know, to be honest, most of the people 685 00:37:46,160 --> 00:37:48,520 Speaker 1: in our field are some of the nicest people I've 686 00:37:48,560 --> 00:37:52,479 Speaker 1: ever met. So now that we've we kind of talked 687 00:37:52,520 --> 00:37:55,080 Speaker 1: all about your career and the people that you know 688 00:37:55,239 --> 00:37:58,600 Speaker 1: and the things you do. And I know you can't 689 00:37:58,600 --> 00:38:00,880 Speaker 1: talk about this new show, so I'm not going to 690 00:38:00,960 --> 00:38:04,239 Speaker 1: ask you about the news show. But if you could 691 00:38:04,280 --> 00:38:07,719 Speaker 1: do a show that you are not doing now, what 692 00:38:07,960 --> 00:38:12,239 Speaker 1: would the topic be? Can I give you two? Yes? 693 00:38:12,440 --> 00:38:14,640 Speaker 1: Of course you can, Okay, So the first one is 694 00:38:14,800 --> 00:38:17,480 Speaker 1: a Sailor Moon fan show. We all I talk about 695 00:38:17,760 --> 00:38:20,920 Speaker 1: is Sailor Moon every day for the entirety of like 696 00:38:21,000 --> 00:38:24,160 Speaker 1: an hour, and I would discuss the causeplay and the 697 00:38:24,239 --> 00:38:27,040 Speaker 1: mythology behind Sailor Moon, and I would talk about the 698 00:38:27,239 --> 00:38:30,200 Speaker 1: author and the manga and the anime. It's an anime 699 00:38:30,320 --> 00:38:33,080 Speaker 1: for anybody who's not familiar. I'm obsessed with that show, 700 00:38:33,120 --> 00:38:34,719 Speaker 1: and I have been obsessed since I was like five 701 00:38:34,800 --> 00:38:36,719 Speaker 1: years old. And I'm going to Japan next year just 702 00:38:36,800 --> 00:38:38,760 Speaker 1: to pick up a whole bunch of Sailor Moon merchandise. 703 00:38:38,880 --> 00:38:41,799 Speaker 1: That's how obsessed. I am. We gotta get you out 704 00:38:41,840 --> 00:38:44,400 Speaker 1: the Dragon Con. I'm telling you, I know, I know. 705 00:38:44,560 --> 00:38:46,600 Speaker 1: I'm planning to go next year. I have it on 706 00:38:46,760 --> 00:38:49,640 Speaker 1: my calendar when they're opening up hotels again, so I'm 707 00:38:49,680 --> 00:38:51,719 Speaker 1: hoping I'll be there next year. All right, So what's 708 00:38:51,800 --> 00:38:55,120 Speaker 1: number two? This one's weird and people are going to 709 00:38:55,200 --> 00:38:58,719 Speaker 1: think I'm crazy, But it's a couponning show. Yes, you 710 00:38:59,040 --> 00:39:04,680 Speaker 1: are super coupons right kind of Well, I'm I'm kind 711 00:39:04,680 --> 00:39:06,279 Speaker 1: of taking a break at the moment so I can 712 00:39:06,360 --> 00:39:09,960 Speaker 1: focus on the shows that I get paid for. But 713 00:39:11,000 --> 00:39:14,719 Speaker 1: coupon ing is when you figure out the store policies 714 00:39:15,400 --> 00:39:19,080 Speaker 1: for whatever store steps coupons, and you figure out how 715 00:39:19,200 --> 00:39:23,080 Speaker 1: to manipulate the coupon a store sale and a store 716 00:39:23,120 --> 00:39:25,279 Speaker 1: coupon and stack them on top of each other to 717 00:39:25,360 --> 00:39:28,480 Speaker 1: hopefully get stuff for free. And it's totally legal. You 718 00:39:28,600 --> 00:39:30,839 Speaker 1: can do it. It's completely fine, and as long as 719 00:39:30,920 --> 00:39:33,680 Speaker 1: it's under their policy, you're allowed to do whatever you 720 00:39:33,800 --> 00:39:36,239 Speaker 1: want with the coupon. So I like to go to 721 00:39:36,360 --> 00:39:39,439 Speaker 1: stores and try to get things for at least under 722 00:39:39,480 --> 00:39:41,880 Speaker 1: a dollar, and a lot of times for free. You 723 00:39:41,960 --> 00:39:44,120 Speaker 1: do still have to pay tax, so hopefully it's things 724 00:39:44,200 --> 00:39:46,880 Speaker 1: that you use. But I've been able to get like 725 00:39:46,960 --> 00:39:51,839 Speaker 1: a pretty good stockpile of you know, hygienic things, lots 726 00:39:51,920 --> 00:39:54,920 Speaker 1: of paper products, and I've even been able to give 727 00:39:54,920 --> 00:39:56,879 Speaker 1: a lot of stuff away to my friends and even 728 00:39:56,920 --> 00:39:59,120 Speaker 1: a few homeless guys in the area, and they really 729 00:39:59,160 --> 00:40:01,960 Speaker 1: appreciated it. And it makes me feel good insight to 730 00:40:02,000 --> 00:40:04,000 Speaker 1: be able to do that kind of thing. Yeah, I 731 00:40:04,320 --> 00:40:06,680 Speaker 1: tried it once. I ended up with seventeen bubbles of 732 00:40:06,760 --> 00:40:11,719 Speaker 1: shampoo and I just spent the evening crying in the showers, 733 00:40:12,239 --> 00:40:16,480 Speaker 1: you know, But I I definitely admire the ability to 734 00:40:16,600 --> 00:40:21,160 Speaker 1: do it well. Shannon, again, thank you so much for 735 00:40:21,520 --> 00:40:24,320 Speaker 1: being on the show. I'm going to ask you to 736 00:40:24,400 --> 00:40:28,160 Speaker 1: come back when we're covering specific topics like coding and hacking, 737 00:40:28,480 --> 00:40:30,560 Speaker 1: so that you'll be a guest host, not just an 738 00:40:30,640 --> 00:40:35,200 Speaker 1: interview subject. It would be phenomenal. You'll you'll be amazing, 739 00:40:35,480 --> 00:40:38,080 Speaker 1: and so we'll we'll we'll get some we'll talk offline 740 00:40:38,120 --> 00:40:41,960 Speaker 1: and figure out some topics and times. That's always actually 741 00:40:42,000 --> 00:40:44,439 Speaker 1: the biggest challenges figuring out when we can schedule these things. 742 00:40:45,360 --> 00:40:49,320 Speaker 1: But for those of my listeners who want to follow 743 00:40:49,440 --> 00:40:52,200 Speaker 1: everything you do, one more time, just to give them 744 00:40:52,239 --> 00:40:57,279 Speaker 1: the opportunity tell them where to find you. Easiest place 745 00:40:57,520 --> 00:41:00,440 Speaker 1: is Twitter. I'm at snubs, so that's at S and 746 00:41:00,680 --> 00:41:04,920 Speaker 1: U B S. I think that would be September November Umbrella, uh, 747 00:41:05,200 --> 00:41:09,239 Speaker 1: Bravo September. Yeah, that would be. That'd be that'd be 748 00:41:09,280 --> 00:41:11,160 Speaker 1: a good call sign right there. Another thing I'm trying 749 00:41:11,200 --> 00:41:15,080 Speaker 1: to remember. Oh yeah, my wife's very good at that. 750 00:41:15,239 --> 00:41:18,200 Speaker 1: She works in the airline industry, so she she spells 751 00:41:18,280 --> 00:41:20,920 Speaker 1: things out like that, and I'm said, my brain doesn't 752 00:41:20,920 --> 00:41:23,560 Speaker 1: work that way. You're just just use the letters. I'm 753 00:41:23,680 --> 00:41:25,520 Speaker 1: kind of a dork. I practice on the way to 754 00:41:25,600 --> 00:41:29,719 Speaker 1: work by looking at license plate numbers. That's fantastic. Yeah, 755 00:41:29,760 --> 00:41:32,600 Speaker 1: it's It's a great way to train yourself to learn 756 00:41:32,680 --> 00:41:35,320 Speaker 1: all the different um what are they the different Alpha, 757 00:41:35,400 --> 00:41:41,040 Speaker 1: new member whatever. I don't even remember what they're called. Charlie, 758 00:41:41,400 --> 00:41:44,320 Speaker 1: I would, I would, uh. I know that. My Floyd, 759 00:41:44,440 --> 00:41:46,680 Speaker 1: the truck driver, who's one of our super fans, I 760 00:41:46,800 --> 00:41:49,000 Speaker 1: know he would. He would jump right in and start 761 00:41:49,040 --> 00:41:52,200 Speaker 1: talking about this. That would be one of his dream topic. 762 00:41:53,840 --> 00:41:56,640 Speaker 1: Thank you so much. I really appreciate it. Thank you 763 00:41:57,360 --> 00:41:59,520 Speaker 1: for all of my listeners out there. If you have 764 00:41:59,640 --> 00:42:01,680 Speaker 1: the Jet Sins for people you would like me to 765 00:42:01,800 --> 00:42:04,560 Speaker 1: interview for future episodes of tech Stuff, or maybe there's 766 00:42:04,600 --> 00:42:07,280 Speaker 1: just a topic that you've always wanted to learn more about. 767 00:42:07,760 --> 00:42:10,440 Speaker 1: Get in touch with me my email addresses, text stuff 768 00:42:10,640 --> 00:42:13,359 Speaker 1: at our stuff works dot com, or you can drop 769 00:42:13,440 --> 00:42:17,680 Speaker 1: me a line on Facebook or on Twitter or on Tumbler. 770 00:42:17,800 --> 00:42:20,360 Speaker 1: The handle it all three is tech Stuff H s 771 00:42:20,600 --> 00:42:27,040 Speaker 1: W and I'll talk to you again. Really si for 772 00:42:27,160 --> 00:42:29,480 Speaker 1: more on this and thousands of other topics because it 773 00:42:29,560 --> 00:42:30,680 Speaker 1: has stuff works dot com