1 00:00:15,880 --> 00:00:20,439 Speaker 1: Foote Force. If it doesn't work, you're just not using enough. 2 00:00:21,120 --> 00:00:26,320 Speaker 1: You're listening to SOFTWAB Radio Special Operations, Military Nails and 3 00:00:26,560 --> 00:00:28,760 Speaker 1: straight talk with the guys in the community. 4 00:00:35,880 --> 00:00:39,440 Speaker 2: Hey, what's going on? This is rad with SOFTWAREP Radio 5 00:00:39,560 --> 00:00:43,720 Speaker 2: and you are watching another awesome episode. And today I 6 00:00:43,720 --> 00:00:46,720 Speaker 2: have a very cool guest and it's very relevant in 7 00:00:46,760 --> 00:00:48,559 Speaker 2: what's going on in our world today what we're going 8 00:00:48,640 --> 00:00:51,599 Speaker 2: to talk about. But first I gotta always mention our 9 00:00:51,640 --> 00:00:55,480 Speaker 2: merch store. Right, you know this fireplace, it's flickering because 10 00:00:55,520 --> 00:00:57,440 Speaker 2: you guys buy our merch and that keeps me on 11 00:00:57,480 --> 00:00:59,680 Speaker 2: the air. So thank you so much for buying the merch, 12 00:01:00,200 --> 00:01:03,000 Speaker 2: tagging us on soft rep, on Instagram and all these 13 00:01:03,000 --> 00:01:05,560 Speaker 2: social medias. So to keep doing that, check out the 14 00:01:05,600 --> 00:01:08,600 Speaker 2: merch store. Thanks to Brandon Web for always curating all 15 00:01:08,600 --> 00:01:10,680 Speaker 2: these cool little things that are branded with our logo 16 00:01:10,720 --> 00:01:13,200 Speaker 2: on it. And then I also have to reference our 17 00:01:13,360 --> 00:01:16,759 Speaker 2: book club. So soft rep dot Com Forward slash Book 18 00:01:16,880 --> 00:01:19,640 Speaker 2: hyphen Club. You've heard me say it before, it's soft 19 00:01:19,680 --> 00:01:23,680 Speaker 2: rep dot Com Forward slash Book hyphen Club. Go check 20 00:01:23,680 --> 00:01:25,840 Speaker 2: out a book that's been curated by some of the 21 00:01:25,880 --> 00:01:28,640 Speaker 2: special operators behind the scenes here at soft Rep and 22 00:01:28,680 --> 00:01:30,280 Speaker 2: they think that you would like to read these books 23 00:01:30,319 --> 00:01:32,920 Speaker 2: like you know, Steal Fear Go check it out by 24 00:01:32,920 --> 00:01:36,800 Speaker 2: Brandon Webb. Now this keeps me going. I love to 25 00:01:36,880 --> 00:01:40,600 Speaker 2: interview folks who have gone from civilian to military back 26 00:01:40,640 --> 00:01:44,880 Speaker 2: to civilian and their rockstar story. And today's guest is 27 00:01:44,920 --> 00:01:48,600 Speaker 2: no different. And Mark Valentine is my guest today. And 28 00:01:48,640 --> 00:01:51,920 Speaker 2: Mark comes from a very dynamic background. All right, so 29 00:01:52,240 --> 00:01:55,280 Speaker 2: a fighter pilot in the United States Air Force. Now 30 00:01:55,320 --> 00:01:58,400 Speaker 2: he is currently the president of the Global Government of 31 00:01:58,520 --> 00:02:03,840 Speaker 2: Business for Skidio Think sky Studio, Skydio. Okay, I want 32 00:02:03,840 --> 00:02:05,920 Speaker 2: you to think that out there, Skydio. And we're going 33 00:02:06,000 --> 00:02:09,480 Speaker 2: to talk about drones and technology. And let's welcome Mark 34 00:02:09,520 --> 00:02:10,680 Speaker 2: to the show. Mark welcome. 35 00:02:11,080 --> 00:02:12,200 Speaker 3: Hey, appreciate it V. 36 00:02:12,480 --> 00:02:14,560 Speaker 4: And by the way, I've got commercials on TV now 37 00:02:14,560 --> 00:02:16,800 Speaker 4: that tell me we're not allowed to call ourselves rock 38 00:02:16,840 --> 00:02:19,440 Speaker 4: stars in business. I'm going to get somebody from Kiss 39 00:02:19,440 --> 00:02:21,440 Speaker 4: breaking down my door here. Tell me I can't do that. 40 00:02:21,600 --> 00:02:23,800 Speaker 2: Oh, you can do it all you want, brother, It's okay, 41 00:02:25,080 --> 00:02:29,359 Speaker 2: come at us, Kiss. Where are you at? Rock and roll? Now, listen, 42 00:02:30,000 --> 00:02:31,840 Speaker 2: before you sat in this chair that you're in, and 43 00:02:31,919 --> 00:02:34,920 Speaker 2: you got this huge long title of President of the 44 00:02:34,960 --> 00:02:38,960 Speaker 2: Global Government of Business of Skidio. Okay, what a title. 45 00:02:39,520 --> 00:02:44,040 Speaker 2: Before that, you were in the military, you were Air Force, right, Yeah? 46 00:02:44,080 --> 00:02:46,600 Speaker 4: So I actually before I came to Skydio, I worked 47 00:02:46,600 --> 00:02:49,280 Speaker 4: in the AI business. I built a federal business at 48 00:02:49,280 --> 00:02:52,040 Speaker 4: scale AI. So I did that for several years, and 49 00:02:52,120 --> 00:02:54,960 Speaker 4: I also ran the national security team at Microsoft for 50 00:02:54,960 --> 00:02:56,920 Speaker 4: about seven years. And then prior to that. So, I 51 00:02:57,000 --> 00:03:00,560 Speaker 4: retired in twenty fifteen from the US military and flew 52 00:03:00,720 --> 00:03:02,280 Speaker 4: fighters for the most of my time there in the 53 00:03:02,280 --> 00:03:05,280 Speaker 4: Air Force, did some of the standard Pentagon tours and 54 00:03:05,600 --> 00:03:06,720 Speaker 4: all the things you'd expect. 55 00:03:06,919 --> 00:03:09,919 Speaker 2: Did you ever get the chance to meet Bill Gates 56 00:03:09,960 --> 00:03:10,880 Speaker 2: working at Microsoft? 57 00:03:10,880 --> 00:03:12,760 Speaker 4: In that I did meet Bill Gates, but it was 58 00:03:12,800 --> 00:03:15,799 Speaker 4: before I started working at Microsoft. So by the time 59 00:03:15,840 --> 00:03:18,360 Speaker 4: I got there in twenty fifteen, he was like the 60 00:03:18,480 --> 00:03:22,800 Speaker 4: chairman in Satia had come on as the CEO. So 61 00:03:22,919 --> 00:03:24,839 Speaker 4: and by the way, you want to talk about phenomenal leader, 62 00:03:24,919 --> 00:03:27,840 Speaker 4: Satia Nadella is a phenomenal leader. But I didn't get 63 00:03:27,840 --> 00:03:30,040 Speaker 4: a chance to meet Bill Gates a couple times before 64 00:03:30,040 --> 00:03:30,799 Speaker 4: I joined the company. 65 00:03:30,800 --> 00:03:33,040 Speaker 2: Actually, I just find that cool. You know, you worked 66 00:03:33,040 --> 00:03:35,960 Speaker 2: in his space. You got to at least bump in through, 67 00:03:36,080 --> 00:03:37,920 Speaker 2: you know. I mean, if you're going to work at Microsoft, 68 00:03:37,960 --> 00:03:39,520 Speaker 2: you might as well say, did you meet Bill Gates? 69 00:03:39,560 --> 00:03:41,120 Speaker 2: I'm just curious. I mean, he has a really, really 70 00:03:41,200 --> 00:03:45,600 Speaker 2: rich question and he's like a huge land owner of America. Okay, 71 00:03:46,480 --> 00:03:49,160 Speaker 2: I've learned that now when it comes to F sixteen's, 72 00:03:49,160 --> 00:03:52,360 Speaker 2: I've had my experience with some F sixteen's. Right. I 73 00:03:52,400 --> 00:03:54,600 Speaker 2: live outside of Hill Air Force Base. I have my 74 00:03:54,680 --> 00:03:57,080 Speaker 2: business which is set just six hundred meters away from 75 00:03:57,080 --> 00:03:59,280 Speaker 2: the South Gate. Do you remember Hill Air Force Space? 76 00:03:59,320 --> 00:04:01,200 Speaker 2: You said you kind of played around there a little bit. 77 00:04:01,280 --> 00:04:02,120 Speaker 4: SPD a little time there. 78 00:04:02,200 --> 00:04:02,400 Speaker 3: Yeah. 79 00:04:02,480 --> 00:04:05,400 Speaker 4: Yeah, we fly some test evaluationshes out of there in 80 00:04:05,440 --> 00:04:07,800 Speaker 4: the Utah Test and Evaluation Range. 81 00:04:07,880 --> 00:04:10,080 Speaker 2: That's right, That's right. And I got to fly over 82 00:04:10,240 --> 00:04:16,200 Speaker 2: Uter in a simulation. Okay. So my instructor was Ira, 83 00:04:16,560 --> 00:04:21,719 Speaker 2: that was his call sign, and uh he I flew 84 00:04:21,720 --> 00:04:25,480 Speaker 2: with him about two thousand and two thirteen up on 85 00:04:25,520 --> 00:04:27,719 Speaker 2: the SIMS. Just to give your heads up. But what 86 00:04:27,760 --> 00:04:30,200 Speaker 2: they did was they set Antelope Island and the Great 87 00:04:30,240 --> 00:04:35,400 Speaker 2: Salt Lake as a pirate's destination of ships. And so 88 00:04:35,520 --> 00:04:37,839 Speaker 2: here I am a fighter pilot. I felt like I 89 00:04:37,880 --> 00:04:41,200 Speaker 2: was going back in time. And I'm dive bombing onto 90 00:04:41,560 --> 00:04:45,480 Speaker 2: like Captain Jack Sparrow's ship and I'm like and they 91 00:04:45,520 --> 00:04:48,120 Speaker 2: gave me iron eagle mode, so like we're gonna give 92 00:04:48,120 --> 00:04:51,320 Speaker 2: you I your eagle modes. I'm like throwing rockets at 93 00:04:51,320 --> 00:04:53,440 Speaker 2: it and all you hear is like ran ran rant 94 00:04:53,480 --> 00:04:55,400 Speaker 2: and they're like, oh no, he's gonna go no. And 95 00:04:55,440 --> 00:04:57,320 Speaker 2: I pulled up and he's like, very valid, that's all 96 00:04:57,320 --> 00:05:01,159 Speaker 2: he said. Valid, Very valid. And then had a buddy 97 00:05:01,200 --> 00:05:02,800 Speaker 2: and he was flying in the other stimulators on the 98 00:05:02,839 --> 00:05:05,839 Speaker 2: F sixteens and we were chasing each other over Lagoon 99 00:05:06,200 --> 00:05:07,120 Speaker 2: the amusement park. 100 00:05:10,120 --> 00:05:10,880 Speaker 3: Yeah, I tell you what. 101 00:05:11,000 --> 00:05:13,640 Speaker 4: There were some really weird visual illusions you could get 102 00:05:13,680 --> 00:05:15,920 Speaker 4: when flying over the Great Salt Lake, especially at night, 103 00:05:16,480 --> 00:05:20,839 Speaker 4: because the lake was so calm and so reflect a 104 00:05:20,880 --> 00:05:23,880 Speaker 4: perfect reflection of the sky, and you could there were 105 00:05:23,920 --> 00:05:26,080 Speaker 4: these weird times where when you were flying over it, 106 00:05:26,320 --> 00:05:28,160 Speaker 4: you really couldn't tell what was the ground or what 107 00:05:28,240 --> 00:05:30,560 Speaker 4: was the water, what was the sky. And this is 108 00:05:30,600 --> 00:05:33,280 Speaker 4: a sad story, but a really good friend named Dylan McFarlane, 109 00:05:33,720 --> 00:05:36,360 Speaker 4: this was in the nineties, who's doing a training mission 110 00:05:36,760 --> 00:05:39,880 Speaker 4: over that airspace and was doing a defensive maneuver at 111 00:05:39,880 --> 00:05:43,080 Speaker 4: low altitude at night and did a really high g 112 00:05:43,360 --> 00:05:46,640 Speaker 4: left turn and kind of got a little bit inverted 113 00:05:46,680 --> 00:05:49,839 Speaker 4: and couldn't tell the difference, and seconds later it was 114 00:05:49,839 --> 00:05:52,560 Speaker 4: in the water. Really really tragic story. So anyway, I 115 00:05:52,560 --> 00:05:53,480 Speaker 4: didn't mean to bring it down. 116 00:05:53,520 --> 00:05:55,640 Speaker 2: No, no, no, I love that. I don't love the 117 00:05:55,640 --> 00:05:57,760 Speaker 2: fact that that happened. I just know that happened. I 118 00:05:57,800 --> 00:06:00,360 Speaker 2: was living here. I remember these things it happened. I 119 00:06:00,360 --> 00:06:03,600 Speaker 2: also remember when the Blackhawks in ninety three or ninety 120 00:06:03,640 --> 00:06:07,120 Speaker 2: six kind of crashed off of the jetty that goes 121 00:06:07,160 --> 00:06:08,480 Speaker 2: out there. You know, they built the road off of 122 00:06:08,520 --> 00:06:13,240 Speaker 2: Antelope Island to go out to the Antelope Island. And yeah, 123 00:06:13,279 --> 00:06:15,720 Speaker 2: there's a memorial there, and I think your friend has 124 00:06:15,800 --> 00:06:17,159 Speaker 2: got a memorial there as well. 125 00:06:17,680 --> 00:06:18,080 Speaker 3: It does. 126 00:06:18,279 --> 00:06:20,120 Speaker 4: And it's one of those things that reminds you that, 127 00:06:20,279 --> 00:06:23,000 Speaker 4: I mean, in some ways we've forgotten how dangerous the 128 00:06:23,040 --> 00:06:26,040 Speaker 4: stuff is. Yes, it's just for real, even in training. 129 00:06:26,320 --> 00:06:27,680 Speaker 4: I mean, not to mention when you get in combat 130 00:06:27,680 --> 00:06:28,960 Speaker 4: and people actually shooting back at you. 131 00:06:29,200 --> 00:06:30,880 Speaker 2: Well, if anything, you gave him a shout out, and 132 00:06:30,880 --> 00:06:32,880 Speaker 2: that will go up on the internet and there's his name. 133 00:06:32,920 --> 00:06:35,159 Speaker 2: If someone listens again, they'll hear his name, so there's 134 00:06:35,160 --> 00:06:38,720 Speaker 2: another shout out for that and bro f sixteen's man, 135 00:06:39,120 --> 00:06:42,120 Speaker 2: not the easiest stick to move, right, I learned that 136 00:06:42,160 --> 00:06:44,240 Speaker 2: in the eighties they just gave it like two pounds 137 00:06:44,240 --> 00:06:46,440 Speaker 2: of pressure to just move because. 138 00:06:46,800 --> 00:06:47,920 Speaker 4: This didn't move at all. 139 00:06:48,240 --> 00:06:48,440 Speaker 2: Yeah. 140 00:06:48,520 --> 00:06:51,280 Speaker 4: First, and so just since the force in your hand 141 00:06:51,800 --> 00:06:54,839 Speaker 4: and in pilot, we hated it. We're like, oh, you 142 00:06:54,839 --> 00:06:55,440 Speaker 4: got to feel that. 143 00:06:55,360 --> 00:06:56,200 Speaker 3: You're moving the stick. 144 00:06:56,600 --> 00:06:59,200 Speaker 4: So finally they put a quarter inch of travel in 145 00:06:59,279 --> 00:07:02,400 Speaker 4: all directions. Right now, he'si electric sensor that you know, 146 00:07:02,480 --> 00:07:05,000 Speaker 4: since the force stayed the same, but they just gave 147 00:07:05,080 --> 00:07:06,960 Speaker 4: a little bit of feel so you can feel like 148 00:07:06,960 --> 00:07:09,320 Speaker 4: you're removing the stick. And that really changed a lot. 149 00:07:09,440 --> 00:07:11,600 Speaker 4: So from a human factors is every thing. You wouldn't 150 00:07:11,640 --> 00:07:13,920 Speaker 4: think that would be such a big deal, but it 151 00:07:13,960 --> 00:07:15,080 Speaker 4: was a huge deal. 152 00:07:15,160 --> 00:07:16,920 Speaker 2: Oh yeah, my instructor, he was like, you're going to 153 00:07:16,960 --> 00:07:20,440 Speaker 2: be sort tomorrow because I'm just like trying to like 154 00:07:20,520 --> 00:07:23,679 Speaker 2: I'm like girl ger He's like one guy was putting 155 00:07:23,680 --> 00:07:26,080 Speaker 2: like two hundred and eighty pounds of pressure on the stick, 156 00:07:26,520 --> 00:07:28,440 Speaker 2: which is where they started to loosen it back in 157 00:07:28,480 --> 00:07:30,360 Speaker 2: the eighties to like give it a little bit of 158 00:07:30,440 --> 00:07:31,040 Speaker 2: that movement. 159 00:07:31,120 --> 00:07:32,320 Speaker 3: But like the. 160 00:07:32,280 --> 00:07:35,520 Speaker 4: Maxis, but really anything over thirty it doesn't matter. 161 00:07:35,760 --> 00:07:36,480 Speaker 3: But you don't know that. 162 00:07:36,560 --> 00:07:37,800 Speaker 4: Man, you're just cranking on that thing. 163 00:07:37,880 --> 00:07:40,240 Speaker 2: Yeah, you're just cranking, You're like. And the thing is 164 00:07:40,240 --> 00:07:44,560 Speaker 2: is I think of the the demo team the Thunderbirds. Yeah, bro, 165 00:07:44,760 --> 00:07:47,560 Speaker 2: like eighteen inches away, fourteen inches, sixteen inches away from 166 00:07:47,600 --> 00:07:50,640 Speaker 2: each other's wing tips, and they're just like, it's it's 167 00:07:50,680 --> 00:07:53,520 Speaker 2: just feeling my pressure of my hand. It's totally cool. 168 00:07:53,880 --> 00:07:55,360 Speaker 2: Like what's in my head goes to my hand and 169 00:07:55,400 --> 00:07:57,080 Speaker 2: I could just like and I looked to my right 170 00:07:57,120 --> 00:07:58,440 Speaker 2: and left as if there's a wing man on my 171 00:07:58,520 --> 00:07:59,920 Speaker 2: right and left right now, like where you at. 172 00:08:01,480 --> 00:08:03,640 Speaker 4: Well, the cool thing is once you got used to it, 173 00:08:03,840 --> 00:08:05,880 Speaker 4: like you know, you didn't put as much force on it, 174 00:08:05,920 --> 00:08:08,200 Speaker 4: and it didn't get easier to do, but we would 175 00:08:08,200 --> 00:08:09,760 Speaker 4: call it. We didn't call it a stick anymore. We're 176 00:08:09,800 --> 00:08:11,600 Speaker 4: called this is our earth rotator switch. 177 00:08:11,920 --> 00:08:14,040 Speaker 3: And you can just because you were just rotating. 178 00:08:14,320 --> 00:08:17,840 Speaker 2: Yes, right now, it's the see coming up this weekend. 179 00:08:18,280 --> 00:08:20,840 Speaker 2: We're preparing for the air show. So we have the 180 00:08:20,880 --> 00:08:23,240 Speaker 2: F thirty this weekend, that is this weekend. Yeah, so 181 00:08:23,320 --> 00:08:24,960 Speaker 2: the demo team's going to be there. They've got like 182 00:08:25,000 --> 00:08:28,720 Speaker 2: twenty different people flying C fives are already coming in, 183 00:08:28,800 --> 00:08:30,600 Speaker 2: and all the different aircraft have been starting to fly 184 00:08:30,680 --> 00:08:34,080 Speaker 2: into the Air Force base. So my my business is 185 00:08:34,200 --> 00:08:36,440 Speaker 2: just outside the south Gate. I own a building that's 186 00:08:36,440 --> 00:08:38,400 Speaker 2: just out there. There's huge parking lot and there's a 187 00:08:38,400 --> 00:08:41,480 Speaker 2: pizza hut in the corner, and uh so I do 188 00:08:41,559 --> 00:08:44,520 Speaker 2: airsoft war games inside of there. So all the youth 189 00:08:44,559 --> 00:08:46,280 Speaker 2: and everybody come in and fight each other and we 190 00:08:46,320 --> 00:08:48,360 Speaker 2: do all these war games, and then all of a sudden, 191 00:08:48,360 --> 00:08:50,320 Speaker 2: you have an F sixteen flying over. I'm like, oh, 192 00:08:50,320 --> 00:08:53,000 Speaker 2: you want sound effects? You want sound effects with your 193 00:08:53,000 --> 00:08:54,559 Speaker 2: war games? How about F thirty fives? You want F 194 00:08:54,640 --> 00:08:58,680 Speaker 2: thirty fives? Huh that's right off the ground too. 195 00:08:58,800 --> 00:09:00,800 Speaker 4: So there's a halftic thing he got going on. 196 00:09:01,160 --> 00:09:03,120 Speaker 2: Well, and some of them are are are customers, Okay, 197 00:09:03,200 --> 00:09:05,439 Speaker 2: let's be clear. They got kids, and those kids are 198 00:09:05,440 --> 00:09:07,360 Speaker 2: like thirteen to fifteen and they want to play airsoft. 199 00:09:07,440 --> 00:09:09,640 Speaker 2: So here comes like the general of the base. One 200 00:09:09,720 --> 00:09:11,360 Speaker 2: year He's like, rad I'm the general of the base, 201 00:09:11,400 --> 00:09:13,200 Speaker 2: and I'm like, okay, do I stand up and salute? 202 00:09:13,240 --> 00:09:15,120 Speaker 2: It's been a minute. He's like no, no, no, And 203 00:09:15,120 --> 00:09:17,120 Speaker 2: then the next day he came in to pick up 204 00:09:17,160 --> 00:09:20,480 Speaker 2: his son's gun, and he was in full uniform, and 205 00:09:20,520 --> 00:09:26,079 Speaker 2: I was like, oh, you're the general. You weren't kidding, Yeah, yeah, yeah. 206 00:09:26,120 --> 00:09:28,400 Speaker 2: He had his like little star on his bear jacket 207 00:09:28,400 --> 00:09:30,560 Speaker 2: and I never saw the star over there. I've always 208 00:09:30,600 --> 00:09:32,560 Speaker 2: seen it like, but he had his on and I 209 00:09:32,600 --> 00:09:35,360 Speaker 2: was like, all right, bro, So were you a part 210 00:09:35,400 --> 00:09:37,120 Speaker 2: of those guys up there? Did you fight? Did you 211 00:09:37,160 --> 00:09:40,640 Speaker 2: fly with like the the Black Widows or the Rams, 212 00:09:40,720 --> 00:09:41,360 Speaker 2: the rude Rams? 213 00:09:41,400 --> 00:09:41,600 Speaker 3: No? 214 00:09:41,600 --> 00:09:43,840 Speaker 4: No, So I was over stationed at him, but I 215 00:09:43,880 --> 00:09:46,040 Speaker 4: flew up there a lot. We did an exercise called 216 00:09:46,120 --> 00:09:49,560 Speaker 4: combat Hammer, which we would drop live weapons, and I 217 00:09:49,600 --> 00:09:52,400 Speaker 4: did a lot of EW or electronic warfare work in 218 00:09:52,440 --> 00:09:55,160 Speaker 4: the block fifteen the sixteen, so we would that was 219 00:09:55,200 --> 00:09:57,200 Speaker 4: one of the only places in the world for training 220 00:09:57,240 --> 00:10:00,480 Speaker 4: you can go shoot high speed anti radiation missile, the 221 00:10:00,520 --> 00:10:03,080 Speaker 4: harm AGM eighty eight. So we would go up there 222 00:10:03,160 --> 00:10:04,960 Speaker 4: quite a bit. And this is when I was stationed 223 00:10:04,960 --> 00:10:08,120 Speaker 4: in Germany. We would bring your planes over base out 224 00:10:08,160 --> 00:10:10,360 Speaker 4: of hill for a couple of weeks two a month 225 00:10:10,800 --> 00:10:13,520 Speaker 4: and do a bunch of combat drops, whether they were 226 00:10:13,840 --> 00:10:16,280 Speaker 4: you know, g WU twenty four, spig two thousand pounds, 227 00:10:16,280 --> 00:10:19,800 Speaker 4: pape Freeze or you know, shoot the AGM eighty eights 228 00:10:19,960 --> 00:10:21,600 Speaker 4: because again, that was one of the only places in 229 00:10:21,600 --> 00:10:23,800 Speaker 4: the world that you could do that. So it'smal arrange 230 00:10:23,840 --> 00:10:24,080 Speaker 4: for that. 231 00:10:24,440 --> 00:10:29,680 Speaker 2: Yeah, the lake, Lakeside, Lakeside, Lakeside out there is legit. Yeah, 232 00:10:29,800 --> 00:10:34,720 Speaker 2: I mean really the desert, that's right, that's right. Oh man. 233 00:10:34,760 --> 00:10:36,599 Speaker 2: A friend of mine was a firefighter when I was 234 00:10:36,640 --> 00:10:38,760 Speaker 2: growing up. He was our neighbor and their dad was 235 00:10:38,800 --> 00:10:40,520 Speaker 2: the firefighter. He'd be out there for three days on, 236 00:10:40,920 --> 00:10:42,680 Speaker 2: home for two days, out there for three days on 237 00:10:43,040 --> 00:10:44,680 Speaker 2: and we'd go out there to drop them off, and 238 00:10:44,720 --> 00:10:47,800 Speaker 2: then we would funny enough, hunt rabbits on the way 239 00:10:47,840 --> 00:10:50,080 Speaker 2: back on the dirt road from Lakeside because it's like 240 00:10:50,120 --> 00:10:51,080 Speaker 2: the middle of nowhere. 241 00:10:51,400 --> 00:10:53,160 Speaker 4: Well, you're like, hey, well, what else are. 242 00:10:53,040 --> 00:10:53,480 Speaker 3: You gonna do? 243 00:10:53,679 --> 00:10:54,520 Speaker 2: What else are you gonna do? 244 00:10:54,640 --> 00:10:54,800 Speaker 3: You know? 245 00:10:55,040 --> 00:10:59,000 Speaker 2: So you know, we were like thirteen years old and anyways, Wow, 246 00:10:59,240 --> 00:11:02,280 Speaker 2: it dude, so much, so so cool. You're so cool. Right, 247 00:11:02,360 --> 00:11:04,600 Speaker 2: shoot the watch bro right there, straight up? 248 00:11:05,120 --> 00:11:06,560 Speaker 3: Now, yeah, I'll give you one. 249 00:11:06,559 --> 00:11:09,760 Speaker 2: There we go, Yeah, exactly. Now now sir, now that 250 00:11:09,800 --> 00:11:16,200 Speaker 2: I know you're sir, Now you go from no, no, no, 251 00:11:16,200 --> 00:11:19,480 Speaker 2: now it's not my real name. Yeah, President of the 252 00:11:19,520 --> 00:11:26,720 Speaker 2: Global Government of Business at SKIDEO, that's your name. Now 253 00:11:27,520 --> 00:11:30,040 Speaker 2: with that, you go from the military. You learn about 254 00:11:30,080 --> 00:11:32,160 Speaker 2: everything you can in the military. You've learned about the 255 00:11:32,200 --> 00:11:34,559 Speaker 2: F six team. You've learned how to march left right left, 256 00:11:34,679 --> 00:11:36,240 Speaker 2: to fight in a team, to be a part of 257 00:11:36,320 --> 00:11:38,360 Speaker 2: a team. And then you transition out of the military. 258 00:11:38,400 --> 00:11:40,080 Speaker 2: How old were you when you kind of got out? 259 00:11:40,120 --> 00:11:42,280 Speaker 2: What rank did you get out? As an age if 260 00:11:42,320 --> 00:11:43,040 Speaker 2: you don't mind. 261 00:11:42,880 --> 00:11:46,680 Speaker 4: Yeah, so I retired as a colonel. I was forty five. 262 00:11:47,440 --> 00:11:51,640 Speaker 4: And most people with my background, you know, firepilot, air force, 263 00:11:51,679 --> 00:11:54,000 Speaker 4: what have you, you would go one of two paths, right, 264 00:11:54,040 --> 00:11:56,480 Speaker 4: you'd either go to the commercial airlines or you would 265 00:11:56,480 --> 00:11:59,160 Speaker 4: go to a large defense contractor and you know, work 266 00:11:59,200 --> 00:12:02,680 Speaker 4: on the next the next missile. And I was really 267 00:12:02,760 --> 00:12:05,400 Speaker 4: lucky in my career, had like I'd already done more 268 00:12:05,400 --> 00:12:06,959 Speaker 4: college and stuff. So I got picked up for this 269 00:12:07,040 --> 00:12:11,280 Speaker 4: special program called the Secretary of Defense Fellows Program where 270 00:12:11,280 --> 00:12:13,319 Speaker 4: they took about ten folks, a couple of Army, couple 271 00:12:13,320 --> 00:12:15,400 Speaker 4: of Navy, a couple of Air Force, and they sent 272 00:12:15,480 --> 00:12:17,480 Speaker 4: us to ub school business for a while, and then 273 00:12:17,679 --> 00:12:20,480 Speaker 4: pharm us out to work at different fortune five hundred 274 00:12:20,520 --> 00:12:21,440 Speaker 4: companies for a year. 275 00:12:22,040 --> 00:12:24,240 Speaker 3: And so this was like two. 276 00:12:24,120 --> 00:12:26,760 Speaker 4: Thousand and nine is timeframe. I got an opportunity while 277 00:12:26,800 --> 00:12:28,800 Speaker 4: I was still in uniform to go work at Microsoft 278 00:12:28,840 --> 00:12:31,480 Speaker 4: for a year, and that was a pretty interesting time. 279 00:12:31,520 --> 00:12:33,200 Speaker 4: I mean, if you rewind the clock and think like 280 00:12:33,240 --> 00:12:35,800 Speaker 4: the iPhone just came out like in two thousand and eight. 281 00:12:36,120 --> 00:12:39,440 Speaker 4: So there was this revolution happening in like what we 282 00:12:39,520 --> 00:12:43,120 Speaker 4: now call the hyperscale cloud providers, Microsoft, Amazon, et cetera. 283 00:12:43,600 --> 00:12:47,840 Speaker 4: They were all like operationalizing cloud computing and raised some 284 00:12:47,880 --> 00:12:50,960 Speaker 4: interesting questions. Right, It's like, Okay, if you can bring 285 00:12:51,040 --> 00:12:55,679 Speaker 4: the marginal cost of compute, networking and storage down to 286 00:12:55,720 --> 00:12:59,360 Speaker 4: functional these zero, what does that mean for humanity? And 287 00:12:59,440 --> 00:13:03,160 Speaker 4: it turns out with unlock certain things like AI and 288 00:13:03,280 --> 00:13:05,920 Speaker 4: mL and anyway, I got really deep into that while 289 00:13:05,960 --> 00:13:07,400 Speaker 4: I was there for the year, and then when I 290 00:13:07,520 --> 00:13:09,480 Speaker 4: left that, I came back to the Pentagon to a 291 00:13:09,520 --> 00:13:12,640 Speaker 4: note tour, then did a command tour, and elected to 292 00:13:12,679 --> 00:13:15,480 Speaker 4: retire in twenty fifteen. So instead of going that standard 293 00:13:15,520 --> 00:13:17,520 Speaker 4: path that a lot of my colleagues has gone on, 294 00:13:17,559 --> 00:13:19,800 Speaker 4: which by the way, is I'm not pejorative. I mean 295 00:13:19,840 --> 00:13:22,079 Speaker 4: there were some people are doing great things none of 296 00:13:22,120 --> 00:13:24,319 Speaker 4: it really excited me, so I kept thinking of back 297 00:13:24,320 --> 00:13:26,840 Speaker 4: to that experience in the tech world. I'm like, man, 298 00:13:27,040 --> 00:13:29,959 Speaker 4: I honestly think that stuff is going to have a 299 00:13:30,000 --> 00:13:33,880 Speaker 4: bigger impact on how wars are deterred, how they fought, 300 00:13:33,880 --> 00:13:36,920 Speaker 4: and how they're won in the future, maybe more than 301 00:13:36,960 --> 00:13:39,520 Speaker 4: the next fighter JED or the next missile or the 302 00:13:39,559 --> 00:13:42,439 Speaker 4: next ship. And I'm like, I think, I think that's 303 00:13:42,480 --> 00:13:45,120 Speaker 4: where I want to be now. Between you and me, 304 00:13:45,360 --> 00:13:48,040 Speaker 4: you know, I have a technical background. I'm an engineer 305 00:13:48,080 --> 00:13:50,559 Speaker 4: by training, and I, you know, messed around with computers 306 00:13:50,920 --> 00:13:53,000 Speaker 4: my whole life and taught myself how to do coding 307 00:13:53,280 --> 00:13:55,680 Speaker 4: at a really, really young age. But dude, I'd done 308 00:13:55,960 --> 00:13:58,120 Speaker 4: almost none of that throughout my Air Force career other 309 00:13:58,160 --> 00:14:00,079 Speaker 4: than a lot of the ew stuff that I it 310 00:14:00,080 --> 00:14:02,320 Speaker 4: had led to some beets and squeet stuff that I 311 00:14:02,360 --> 00:14:05,080 Speaker 4: call it, But really, for almost thirty years, I hadn't 312 00:14:05,080 --> 00:14:06,679 Speaker 4: done any of that. But I had a background in 313 00:14:06,720 --> 00:14:10,959 Speaker 4: it enough, so I ended up calling some colleagues at 314 00:14:11,000 --> 00:14:14,000 Speaker 4: Microsoft and going, Hey, here's what I can't do. I know, 315 00:14:14,600 --> 00:14:17,000 Speaker 4: here's some things that I probably can't do, but here's 316 00:14:17,000 --> 00:14:18,640 Speaker 4: a bunch of stuff in the middle that I think 317 00:14:18,679 --> 00:14:20,840 Speaker 4: I could really be valuable in and it worked. I 318 00:14:20,880 --> 00:14:24,120 Speaker 4: got an opportunity and then I think I successfully turned 319 00:14:24,120 --> 00:14:27,120 Speaker 4: that opportunity into more opportunities and here we are now. 320 00:14:27,680 --> 00:14:31,160 Speaker 4: So you know, from there, I started up with Scale 321 00:14:31,240 --> 00:14:33,760 Speaker 4: AI after Microsoft and kind of helped them build their 322 00:14:33,760 --> 00:14:38,240 Speaker 4: federal business, which was super amazing. Got to do some 323 00:14:38,320 --> 00:14:41,800 Speaker 4: really cool things in the AIML space, creating everything from 324 00:14:41,800 --> 00:14:46,200 Speaker 4: computer vision algorithms to tuning llms. And then between you 325 00:14:46,240 --> 00:14:48,640 Speaker 4: and me, Lad, I was happy. Man, I was going 326 00:14:48,720 --> 00:14:51,600 Speaker 4: to retire and hang up the cleats, and actually I 327 00:14:51,600 --> 00:14:53,840 Speaker 4: did that. I did it for about four months. So 328 00:14:53,960 --> 00:14:56,400 Speaker 4: my wife tells me, I'm really bad at retiring. So 329 00:14:56,480 --> 00:14:57,760 Speaker 4: I helped a few friends out. 330 00:14:57,600 --> 00:15:00,840 Speaker 3: With some consulting things and some DC firms, you. 331 00:15:00,800 --> 00:15:04,000 Speaker 4: Know, helping some CEOs answer some questions. And I ran 332 00:15:04,000 --> 00:15:07,520 Speaker 4: into Adam Bree, who's the founder of scaudio, and we 333 00:15:07,560 --> 00:15:11,360 Speaker 4: started talking and I'm like, man, you have a super 334 00:15:11,400 --> 00:15:16,080 Speaker 4: interesting like confluence of things happening right. You got aviation 335 00:15:16,160 --> 00:15:19,000 Speaker 4: on one side and AI on the other, and I'm like, 336 00:15:19,400 --> 00:15:21,720 Speaker 4: this is really exciting to me. And I'm like, I 337 00:15:21,720 --> 00:15:23,600 Speaker 4: believe it or not, I have a background in both 338 00:15:23,600 --> 00:15:25,480 Speaker 4: of these things. And if you need someone to help 339 00:15:25,520 --> 00:15:28,920 Speaker 4: let me know, and so here I am. And about 340 00:15:28,920 --> 00:15:30,960 Speaker 4: a week later I joined the company. And so I've 341 00:15:31,000 --> 00:15:32,360 Speaker 4: been here now for about a year and a half. 342 00:15:32,880 --> 00:15:36,120 Speaker 4: And you know, I lobbyed. You say, my title's president 343 00:15:36,360 --> 00:15:38,800 Speaker 4: and it is. That's only because I lobbied for the 344 00:15:38,800 --> 00:15:39,640 Speaker 4: title of emperor. 345 00:15:39,680 --> 00:15:41,680 Speaker 3: But he wouldn't get back. I don't know why. 346 00:15:42,720 --> 00:15:45,960 Speaker 2: Now now, I just want to be clear and let 347 00:15:46,320 --> 00:15:49,240 Speaker 2: my listener know that not only are you a cool 348 00:15:49,240 --> 00:15:52,040 Speaker 2: fighter pilot, but you're also part of one of the 349 00:15:52,120 --> 00:15:58,640 Speaker 2: largest drone companies for Department of Defense, like in America, 350 00:15:58,760 --> 00:16:02,640 Speaker 2: like probably and noun worldly is you know, just we 351 00:16:02,680 --> 00:16:03,040 Speaker 2: are the. 352 00:16:03,120 --> 00:16:05,960 Speaker 4: Largest small drone manufacturer outside of China. 353 00:16:06,440 --> 00:16:09,440 Speaker 2: Yeah, and I mean tell me about that. Okay, let's 354 00:16:09,480 --> 00:16:11,840 Speaker 2: talk about that, right So right now they have a 355 00:16:11,880 --> 00:16:14,800 Speaker 2: brand that is being pushed through to be banned in 356 00:16:14,880 --> 00:16:17,960 Speaker 2: the US right now, like can't be sold dji I 357 00:16:17,960 --> 00:16:21,680 Speaker 2: think is something like that's going on? Where's your stuff made? 358 00:16:22,120 --> 00:16:24,360 Speaker 4: Do we make everything here in the US? So we're 359 00:16:24,600 --> 00:16:27,080 Speaker 4: headquartered in California and everything's manufactured there. 360 00:16:27,440 --> 00:16:28,680 Speaker 2: I mean, that's just a simple answer. 361 00:16:29,320 --> 00:16:29,520 Speaker 3: Yeah. 362 00:16:29,960 --> 00:16:32,800 Speaker 4: Yeah, to be fair, like some of our ships still 363 00:16:32,800 --> 00:16:35,960 Speaker 4: come from Taiwan, so we have some of those standard 364 00:16:36,000 --> 00:16:40,600 Speaker 4: supply chain dependencies, if you will. But yeah, we're made 365 00:16:40,880 --> 00:16:42,920 Speaker 4: in the US and we're actually really proud of that. 366 00:16:43,080 --> 00:16:46,000 Speaker 2: I'm cool with Taiwan. Man, democratic country, bro, I'm cool 367 00:16:46,000 --> 00:16:49,040 Speaker 2: with Taiwan. It's totally fine. 368 00:16:50,160 --> 00:16:50,600 Speaker 3: Yeah. 369 00:16:50,880 --> 00:16:53,720 Speaker 4: We invested a lot into our factory in Hayward, California. 370 00:16:53,960 --> 00:16:56,520 Speaker 4: So when I joined the company, we had just plugged 371 00:16:56,520 --> 00:16:58,480 Speaker 4: a bunch of money in there to ten x the 372 00:16:58,520 --> 00:17:01,640 Speaker 4: manufacturing capacity. So we've got it ramped up pretty good, 373 00:17:02,040 --> 00:17:05,480 Speaker 4: and we've got capacity to go beyond that. So we're 374 00:17:05,560 --> 00:17:06,360 Speaker 4: ready to rock. Man. 375 00:17:06,800 --> 00:17:10,040 Speaker 2: Let me ask you just here's a left field question. 376 00:17:10,080 --> 00:17:12,240 Speaker 2: So if there's a veteran out there that has worked 377 00:17:12,280 --> 00:17:15,480 Speaker 2: in something similar to you and you know, or someone 378 00:17:15,520 --> 00:17:19,639 Speaker 2: who's maybe worked in the Navy on some electronic systems, 379 00:17:19,840 --> 00:17:22,600 Speaker 2: would they be who you're looking for to maybe apply 380 00:17:23,160 --> 00:17:25,080 Speaker 2: to us to your company. 381 00:17:25,160 --> 00:17:25,760 Speaker 3: Absolutely. 382 00:17:26,240 --> 00:17:28,080 Speaker 4: So, you know, I think a lot of people when 383 00:17:28,080 --> 00:17:30,800 Speaker 4: they think of especially the smaller quad copter drones that 384 00:17:30,840 --> 00:17:33,960 Speaker 4: we're talking about, I think many people think they're toys, 385 00:17:34,200 --> 00:17:36,880 Speaker 4: and you know what they're not. And we can talk 386 00:17:36,920 --> 00:17:39,160 Speaker 4: about what's going on, you know, in Ukraine right now 387 00:17:39,200 --> 00:17:41,040 Speaker 4: and how drones are being used in real world. 388 00:17:40,960 --> 00:17:42,159 Speaker 3: Combat in a minute. 389 00:17:42,160 --> 00:17:44,200 Speaker 4: But the bottom line is these things are not toys, 390 00:17:44,800 --> 00:17:48,719 Speaker 4: and especially our drones, we've infused them with artificial intelligence 391 00:17:49,040 --> 00:17:52,960 Speaker 4: to do everything from oscool avoidance to tracking subjects, staying 392 00:17:53,000 --> 00:17:54,399 Speaker 4: with a convoy, all. 393 00:17:54,160 --> 00:17:54,879 Speaker 3: Sorts of things. 394 00:17:55,480 --> 00:17:59,600 Speaker 4: And that is not just you know, a simple soldering job. 395 00:18:00,000 --> 00:18:04,399 Speaker 4: We have teams and teams of engineers every doing you know, 396 00:18:04,440 --> 00:18:07,960 Speaker 4: everything from data annotation to building computer vision models, configuring 397 00:18:08,000 --> 00:18:10,560 Speaker 4: neural networks to run on the device so that the 398 00:18:10,640 --> 00:18:14,520 Speaker 4: drone can actually conduct and perform these AI activities at 399 00:18:14,560 --> 00:18:18,440 Speaker 4: the edge without connectivity to anything else. We have radio engineers, 400 00:18:18,520 --> 00:18:22,720 Speaker 4: network engineers, I mean folks doing some incredible stuff, believe 401 00:18:22,760 --> 00:18:25,560 Speaker 4: it or not. I mean, we have computational fluid dynamics 402 00:18:25,640 --> 00:18:29,680 Speaker 4: engineers doing errow. We've got electrical engineers, you know, distributing 403 00:18:29,680 --> 00:18:32,919 Speaker 4: power across the drone. I mean, it's it's really complex. 404 00:18:33,320 --> 00:18:35,640 Speaker 4: And again that's why I say these things aren't toys 405 00:18:36,119 --> 00:18:38,399 Speaker 4: or they're not something you could go find, you know, 406 00:18:38,520 --> 00:18:42,280 Speaker 4: ten components online and just sort of these things together yourself. Well, 407 00:18:42,320 --> 00:18:45,000 Speaker 4: which you could do something like that, but to integrate 408 00:18:45,080 --> 00:18:47,639 Speaker 4: that into an integrated package that can do the things 409 00:18:48,000 --> 00:18:50,800 Speaker 4: that our drones can do, especially in the autonomous space. 410 00:18:51,640 --> 00:18:53,720 Speaker 4: It's not easy. And then oh, by the way, you 411 00:18:53,840 --> 00:18:56,840 Speaker 4: got those people, So now you built something, you got 412 00:18:56,880 --> 00:18:59,600 Speaker 4: to test it. So we have a phenomenal group of 413 00:18:59,720 --> 00:19:03,000 Speaker 4: light engineers, many of whom come from a military background, 414 00:19:03,160 --> 00:19:06,040 Speaker 4: that understand how to run a military test program. Like 415 00:19:06,119 --> 00:19:10,280 Speaker 4: our lead Nicole Bank, she is from Embygriddle Aeronauqua University, 416 00:19:10,480 --> 00:19:12,439 Speaker 4: has a background in flight tests, and she's running a 417 00:19:12,440 --> 00:19:15,080 Speaker 4: great team there. And so I saw and again I 418 00:19:15,160 --> 00:19:18,040 Speaker 4: came from the US Air Force, and we were pretty 419 00:19:18,040 --> 00:19:20,960 Speaker 4: proud of ourselves and how we manage our airplanes and 420 00:19:21,000 --> 00:19:23,520 Speaker 4: our people that flew them. And I was blown away. 421 00:19:23,960 --> 00:19:27,280 Speaker 4: At a essentially eight hundred person company, we were running 422 00:19:27,320 --> 00:19:30,280 Speaker 4: a flight test regimen that even the US Air Force 423 00:19:30,320 --> 00:19:33,879 Speaker 4: would go, Man, that's pretty impressive. And if like training 424 00:19:33,920 --> 00:19:36,800 Speaker 4: regimen that even the US Air Force would go, Holy 425 00:19:36,840 --> 00:19:39,520 Speaker 4: Snikey's had no idea that people were doing things like that. 426 00:19:39,840 --> 00:19:42,000 Speaker 4: So we've got all that going on. Then you've got 427 00:19:42,320 --> 00:19:44,880 Speaker 4: the folks who are working business development, and then when 428 00:19:44,920 --> 00:19:47,600 Speaker 4: something that's sold, we've got teams and we think this 429 00:19:47,640 --> 00:19:51,080 Speaker 4: is part of our secret sauces guide is that you're 430 00:19:51,080 --> 00:19:53,320 Speaker 4: not buying a drone. You're buying a company that's trying 431 00:19:53,320 --> 00:19:56,320 Speaker 4: to help you get a drone program. So I mean 432 00:19:56,320 --> 00:19:59,760 Speaker 4: we will white glove everything from unboxing to training to 433 00:20:00,080 --> 00:20:03,800 Speaker 4: port whether that's changing props or arms or batteries, whatever 434 00:20:03,840 --> 00:20:05,919 Speaker 4: you need. We try to make that a seamless kind 435 00:20:05,920 --> 00:20:09,040 Speaker 4: of white glove service. So from end to end, I mean, 436 00:20:09,080 --> 00:20:11,680 Speaker 4: it's a phenomenal engine to watch, and we do have 437 00:20:11,800 --> 00:20:15,159 Speaker 4: tons of veterans that are working across the company. 438 00:20:16,080 --> 00:20:19,360 Speaker 2: I love that. You should just keep talking. I'll just listen. 439 00:20:18,680 --> 00:20:22,240 Speaker 2: I'm just gonna listen to you. No, it's so you know, 440 00:20:22,720 --> 00:20:25,000 Speaker 2: you're laying so well, that's what I love about it. 441 00:20:25,040 --> 00:20:28,800 Speaker 2: So let me there's a place here called Rio tinto Mine. Okay, 442 00:20:28,920 --> 00:20:31,560 Speaker 2: let's just heard. I'm gonna step away from the combat 443 00:20:31,600 --> 00:20:33,920 Speaker 2: aspect of the drone and talk about like a mine 444 00:20:33,960 --> 00:20:36,399 Speaker 2: aspect of a drone. Right, And there's a big, huge 445 00:20:36,440 --> 00:20:39,120 Speaker 2: smelter that's just outside of you know, on the way 446 00:20:39,119 --> 00:20:41,840 Speaker 2: to Tuila, Utah. If you've recognized that smelter. So you're 447 00:20:41,880 --> 00:20:44,399 Speaker 2: saying that this drone can go up inside of that 448 00:20:44,560 --> 00:20:48,200 Speaker 2: smelter without risking the life of somebody having to repel 449 00:20:48,240 --> 00:20:50,800 Speaker 2: down inside of it to check its infrastructure. 450 00:20:51,320 --> 00:20:54,959 Speaker 4: You have now hammered in the thesis behind a company 451 00:20:55,040 --> 00:20:57,520 Speaker 4: like Skydio. And I tell this a lot to our 452 00:20:57,560 --> 00:21:00,199 Speaker 4: internal teams, and many people don't like to hear this, 453 00:21:00,320 --> 00:21:02,440 Speaker 4: But at the end of the day, rad no one 454 00:21:02,480 --> 00:21:05,840 Speaker 4: really cares about a drone. What people care about is 455 00:21:05,880 --> 00:21:09,040 Speaker 4: what the drone can do for them, whatever their businesses, 456 00:21:09,080 --> 00:21:13,840 Speaker 4: whatever their mission is. How can this mobile sensor help 457 00:21:13,920 --> 00:21:16,400 Speaker 4: me do that job better? That is the goal and 458 00:21:16,480 --> 00:21:18,760 Speaker 4: so and you bring up another great point, right, So, 459 00:21:19,480 --> 00:21:21,880 Speaker 4: I think a lot of people, especially in this audience, 460 00:21:21,960 --> 00:21:24,200 Speaker 4: are watching, you know, the news, or reading the news, 461 00:21:24,280 --> 00:21:26,960 Speaker 4: or maybe have access to information you and I don't 462 00:21:27,000 --> 00:21:29,920 Speaker 4: have access to any longer about what's happening in Ukraine. 463 00:21:30,119 --> 00:21:33,640 Speaker 4: And you know, we're seeing these FPV drones being flown 464 00:21:33,680 --> 00:21:36,960 Speaker 4: into Russian tanks and we're like, wow, that's that's pretty amazing. 465 00:21:37,000 --> 00:21:39,479 Speaker 4: And so I think, you know, that is the scene 466 00:21:39,680 --> 00:21:42,600 Speaker 4: part of what what drones are doing to transform the 467 00:21:42,600 --> 00:21:45,560 Speaker 4: battlefield and maybe the future. But there's a whole part 468 00:21:45,560 --> 00:21:48,359 Speaker 4: that I think is unseen. And you brought up a 469 00:21:48,440 --> 00:21:50,920 Speaker 4: great point. So this smelter that you're talking about, what 470 00:21:51,760 --> 00:21:54,400 Speaker 4: at Skytia we are a dual use company, so which 471 00:21:54,440 --> 00:21:58,480 Speaker 4: means we work with commercial businesses you know, state, local, 472 00:21:58,600 --> 00:22:00,800 Speaker 4: ent c d's, et cetera. And you know US government 473 00:22:00,960 --> 00:22:03,080 Speaker 4: national level governments, which by the way, is where the 474 00:22:03,080 --> 00:22:06,479 Speaker 4: title of global government came from. It's US federal and 475 00:22:06,680 --> 00:22:08,000 Speaker 4: national level governments around. 476 00:22:08,280 --> 00:22:10,840 Speaker 2: Would be so easy, yeah, exactly. 477 00:22:11,280 --> 00:22:13,720 Speaker 4: But anyway, what we're seeing in the commercial space are 478 00:22:13,800 --> 00:22:16,520 Speaker 4: more and more people because again there's no FPV you know, 479 00:22:16,520 --> 00:22:20,679 Speaker 4: go kill Russian tanks mission analogous and the commercial sector. 480 00:22:21,119 --> 00:22:23,639 Speaker 4: But people are using these drones, especially drones like the 481 00:22:23,640 --> 00:22:26,359 Speaker 4: ones we make it Skydier that have the autonomous capabilities 482 00:22:26,520 --> 00:22:29,760 Speaker 4: so that anyone can fly them. You don't necessarily have 483 00:22:29,840 --> 00:22:33,440 Speaker 4: to be a you know, fully trained operator with thirty 484 00:22:33,520 --> 00:22:36,240 Speaker 4: thousand hours of operating an aerial vehicle to be able 485 00:22:36,280 --> 00:22:38,840 Speaker 4: to get value out of this. So where we're seeing 486 00:22:38,840 --> 00:22:43,560 Speaker 4: this happen are places like utility inspections, so right now 487 00:22:43,560 --> 00:22:46,520 Speaker 4: they're utility companies, and especially in Utah, you see this 488 00:22:47,040 --> 00:22:48,960 Speaker 4: where you've got you know, I don't know what the 489 00:22:49,040 --> 00:22:50,720 Speaker 4: name of it is, but we'll call it Utah Power 490 00:22:50,720 --> 00:22:51,639 Speaker 4: and Light for lack. 491 00:22:51,520 --> 00:22:55,560 Speaker 3: Of a better fiend, God, it's yeah, Upul's. 492 00:22:54,960 --> 00:22:56,960 Speaker 4: That's what we'll call it right. So they probably have 493 00:22:57,160 --> 00:23:00,480 Speaker 4: hundreds of trucks, like fleets of trucks that they all 494 00:23:00,520 --> 00:23:03,439 Speaker 4: the time, and hundreds of people. And they give them 495 00:23:03,440 --> 00:23:05,600 Speaker 4: a map and they go go check these four stations 496 00:23:05,600 --> 00:23:08,840 Speaker 4: today and they drive around, they take pictures, they come back, 497 00:23:09,200 --> 00:23:12,159 Speaker 4: someone downloads the pictures, someone else looks at them, and 498 00:23:12,200 --> 00:23:14,639 Speaker 4: then five days later they go, oh, we've got a 499 00:23:14,640 --> 00:23:19,040 Speaker 4: broken insulator on you know, schmuck Andy schmuck number two, 500 00:23:19,680 --> 00:23:21,920 Speaker 4: And they go, okay, now you go fix that. Where 501 00:23:22,240 --> 00:23:24,879 Speaker 4: think about this. What if you could have a smart 502 00:23:24,920 --> 00:23:28,479 Speaker 4: intelligence sensor that you could hit a button and in 503 00:23:28,680 --> 00:23:32,160 Speaker 4: say thirty minutes, it has done a three D scan 504 00:23:32,280 --> 00:23:35,640 Speaker 4: at the millimeter level of accuracy without a human touching 505 00:23:35,760 --> 00:23:38,760 Speaker 4: or stick or a throttle all around that substation and 506 00:23:38,760 --> 00:23:41,800 Speaker 4: it sends you back in notification that says, dude, transformer 507 00:23:41,880 --> 00:23:43,800 Speaker 4: number two on Schmuck Andy Schmuck number one. 508 00:23:43,720 --> 00:23:45,320 Speaker 3: Is broken, send a new one. 509 00:23:45,800 --> 00:23:48,280 Speaker 4: Just imagine the royu would get out of that. So 510 00:23:48,400 --> 00:23:51,760 Speaker 4: that that is actually happening right now. Where there are 511 00:23:51,880 --> 00:23:54,600 Speaker 4: drones living in little docks, which think about them is 512 00:23:54,640 --> 00:23:57,960 Speaker 4: like pizza boxes. They look like an old mailbox and 513 00:23:58,000 --> 00:24:00,600 Speaker 4: they sit in there out of the wather they're charging, 514 00:24:00,600 --> 00:24:04,320 Speaker 4: they can transmit then either autonomously or on command. This 515 00:24:04,440 --> 00:24:07,600 Speaker 4: dude comes out, does this autonomous inspection, reads all the 516 00:24:07,640 --> 00:24:10,200 Speaker 4: gauges with this camera, transmits that all back to the 517 00:24:10,240 --> 00:24:12,080 Speaker 4: operation center, lands back in the dock. 518 00:24:12,440 --> 00:24:13,000 Speaker 3: Done. 519 00:24:13,200 --> 00:24:15,920 Speaker 4: I mean, that is happening today. And so the cool 520 00:24:15,960 --> 00:24:17,440 Speaker 4: part of what I get to do is see those 521 00:24:17,440 --> 00:24:21,840 Speaker 4: innovations happening in the commercial sector and figure out how 522 00:24:21,880 --> 00:24:24,840 Speaker 4: can we pull that into say the government. 523 00:24:24,600 --> 00:24:25,439 Speaker 3: Or the defense sector. 524 00:24:25,720 --> 00:24:27,679 Speaker 4: And we all know, you know, again going back to 525 00:24:27,720 --> 00:24:30,560 Speaker 4: the scene part, what's going on in Ukraine. We see 526 00:24:30,560 --> 00:24:32,880 Speaker 4: that piece and we see how tact class are drones 527 00:24:33,160 --> 00:24:35,399 Speaker 4: are acting as spotters for the fpvs and the one 528 00:24:35,480 --> 00:24:37,919 Speaker 4: to five to five coming in. But not many people, 529 00:24:37,960 --> 00:24:41,440 Speaker 4: I think, recognize that the vast majority of even the 530 00:24:41,480 --> 00:24:44,440 Speaker 4: Defense Department, they're not doing that kind of stuff. They're 531 00:24:44,520 --> 00:24:47,520 Speaker 4: supporting their building, et cetera. And so trying to bring 532 00:24:47,600 --> 00:24:51,000 Speaker 4: these capabilities into that environment so you know, our US 533 00:24:51,040 --> 00:24:53,439 Speaker 4: Department of Defense and Allied militaries can get the same 534 00:24:53,920 --> 00:24:56,399 Speaker 4: benefits of them. So we can get to that that 535 00:24:56,800 --> 00:24:59,600 Speaker 4: you know, ultimate goal of predictive maintenance, and you know, 536 00:24:59,760 --> 00:25:02,359 Speaker 4: we're doing stuff so we can focus the limited assets 537 00:25:02,400 --> 00:25:05,160 Speaker 4: we have on combat power, I think is a really 538 00:25:05,160 --> 00:25:06,200 Speaker 4: phenomenal opportunity. 539 00:25:06,320 --> 00:25:07,920 Speaker 3: And that's what I love about being here. 540 00:25:09,760 --> 00:25:13,360 Speaker 2: Who's the threat right now that's doing this that we're watching, 541 00:25:13,600 --> 00:25:16,159 Speaker 2: that's trying to get their drones out? Who who's the 542 00:25:16,200 --> 00:25:18,560 Speaker 2: you on the other side of this? Is there somebody else? 543 00:25:18,600 --> 00:25:21,160 Speaker 2: Or are we pretty much like you know, air superiority 544 00:25:21,160 --> 00:25:23,199 Speaker 2: in the air force. That's what we were taught. We 545 00:25:23,240 --> 00:25:25,399 Speaker 2: are the you know, the best in the air. Is 546 00:25:25,400 --> 00:25:27,639 Speaker 2: there someone else trying to come at us that is 547 00:25:27,720 --> 00:25:30,119 Speaker 2: doing this? Should I be more aware other than skidio 548 00:25:30,359 --> 00:25:33,480 Speaker 2: who's on my side quote unquote versus the other guy? 549 00:25:33,720 --> 00:25:34,640 Speaker 2: Was there someone out there? 550 00:25:34,960 --> 00:25:35,240 Speaker 3: Yeah? 551 00:25:35,280 --> 00:25:37,720 Speaker 4: So I think there are some great American companies that 552 00:25:37,760 --> 00:25:41,960 Speaker 4: are getting into space. Again, personally, admittedly out of a bias, 553 00:25:42,000 --> 00:25:44,040 Speaker 4: I think we of Skydio have a lead there. But 554 00:25:44,200 --> 00:25:48,200 Speaker 4: outside of that, I think the vast majority of the 555 00:25:48,240 --> 00:25:51,560 Speaker 4: competitive threat just in drones and journals coming from China, 556 00:25:51,680 --> 00:25:54,199 Speaker 4: which you know you had asked earlier about, you know, 557 00:25:54,320 --> 00:25:58,760 Speaker 4: the potential Chinese drone band. There are legitimate security concerns 558 00:25:59,080 --> 00:26:02,280 Speaker 4: that people should be aware of when they're operating Chinese drones. 559 00:26:02,320 --> 00:26:06,040 Speaker 4: And I'll just point people there was a unclassified paper 560 00:26:06,119 --> 00:26:12,000 Speaker 4: released by the FBI and SISA, the Cyber Infrastructure Security Agency, 561 00:26:12,560 --> 00:26:14,360 Speaker 4: which kindified some of those risks. 562 00:26:14,560 --> 00:26:17,560 Speaker 2: I see, So there's it's out there, and where's my 563 00:26:17,600 --> 00:26:24,080 Speaker 2: net gun? What am I going to use? What's gonna 564 00:26:24,080 --> 00:26:24,439 Speaker 2: stop it? 565 00:26:24,480 --> 00:26:24,639 Speaker 3: You know? 566 00:26:24,720 --> 00:26:26,800 Speaker 2: How do we you know, how do we stop this? 567 00:26:26,960 --> 00:26:29,000 Speaker 2: I mean, you know, did we not see terminator? 568 00:26:30,280 --> 00:26:30,480 Speaker 3: You know? 569 00:26:30,680 --> 00:26:33,320 Speaker 2: And I get that, and I want to see. Okay, 570 00:26:33,359 --> 00:26:35,920 Speaker 2: now I see the first person drone footage, and sometimes 571 00:26:35,960 --> 00:26:39,040 Speaker 2: I see things I don't want to see because of it. Hey, rad, 572 00:26:39,119 --> 00:26:40,840 Speaker 2: check this footage out, you know, And I'm like, I 573 00:26:40,880 --> 00:26:43,280 Speaker 2: don't know if I wanted to see that footage, right, 574 00:26:43,440 --> 00:26:46,919 Speaker 2: but it's done with drones. Yeah, it's like right up 575 00:26:46,960 --> 00:26:51,160 Speaker 2: their tailpipe. Yeah, And like that's not a person happened 576 00:26:51,200 --> 00:26:53,960 Speaker 2: to die to do that, per se, you know, in 577 00:26:54,000 --> 00:26:56,600 Speaker 2: the drone like b I got. I got a friend 578 00:26:56,600 --> 00:26:58,400 Speaker 2: who I've known since he was about fifteen and today 579 00:26:58,440 --> 00:27:01,640 Speaker 2: he's about twenty four. He's on through a military academy. 580 00:27:01,680 --> 00:27:03,879 Speaker 2: He's gone through schooling, and he talked to me the other 581 00:27:03,960 --> 00:27:06,280 Speaker 2: day and he's like, I'm going to the Air Force academy. 582 00:27:06,320 --> 00:27:07,760 Speaker 2: I was like, sweet, He's like, I'm going to be 583 00:27:07,760 --> 00:27:09,280 Speaker 2: a pilot. I was like, where are you gonna fly? 584 00:27:09,400 --> 00:27:14,040 Speaker 2: He's like drones. Yeah. I was like, that's right, not 585 00:27:14,240 --> 00:27:17,840 Speaker 2: just S sixteen's or a tens or F thirty five's, 586 00:27:17,920 --> 00:27:22,119 Speaker 2: but whatever else they got in their their drones. And 587 00:27:22,160 --> 00:27:24,639 Speaker 2: he's got like a big gulp, you know, next to 588 00:27:24,680 --> 00:27:29,320 Speaker 2: his flight suit on. You know, he's got air podd in. 589 00:27:29,480 --> 00:27:30,520 Speaker 2: He's just doing his job. 590 00:27:31,040 --> 00:27:32,679 Speaker 3: That's how I see what rad it's. 591 00:27:32,800 --> 00:27:35,199 Speaker 4: So, first off, I'm an alumnus of the institution you 592 00:27:35,280 --> 00:27:37,120 Speaker 4: just mentioned, and so I've got you know, I mentor 593 00:27:37,160 --> 00:27:39,800 Speaker 4: a lot of young men and women that want to 594 00:27:39,800 --> 00:27:41,919 Speaker 4: go to service academies and ended up going, and so 595 00:27:42,119 --> 00:27:44,280 Speaker 4: you know, I'm seeing a lot more of them enter 596 00:27:44,359 --> 00:27:47,159 Speaker 4: the drones space. And I was actually in the cockpit 597 00:27:47,200 --> 00:27:49,800 Speaker 4: in the F sixteen when you know, the first m 598 00:27:49,840 --> 00:27:53,760 Speaker 4: q ones started to come into use, and then or sorry, 599 00:27:53,840 --> 00:27:55,880 Speaker 4: the RQ ones and then later the m Q ones 600 00:27:55,880 --> 00:27:58,480 Speaker 4: they could actually shoot stuff. And this was right after 601 00:27:58,520 --> 00:28:02,440 Speaker 4: September eleventh, which long story short, I was a Cannon 602 00:28:02,440 --> 00:28:05,199 Speaker 4: Air Force Base in New Mexico, and then I was 603 00:28:05,200 --> 00:28:07,560 Speaker 4: moving to Andrews Air Force Base in Washington, d C. 604 00:28:08,320 --> 00:28:12,400 Speaker 4: And my first day of work at Andrews Air Force Base. 605 00:28:12,440 --> 00:28:14,399 Speaker 4: So I was a young captain at the time. Was 606 00:28:14,440 --> 00:28:16,200 Speaker 4: September eleventh, two thousand and one. 607 00:28:16,359 --> 00:28:18,760 Speaker 3: Wow, and so really we can. 608 00:28:18,640 --> 00:28:20,800 Speaker 4: Talk about it separately, but a lot of time to 609 00:28:20,840 --> 00:28:23,560 Speaker 4: show up. But a lot of things changed right after 610 00:28:23,600 --> 00:28:26,359 Speaker 4: September eleventh, which many of us saw here in the States. 611 00:28:26,400 --> 00:28:28,879 Speaker 4: But obviously, you know, we started prosecuting a war in 612 00:28:28,880 --> 00:28:32,400 Speaker 4: Afghanistan and that was the first overt use of an 613 00:28:32,480 --> 00:28:35,000 Speaker 4: uncrewed aerial system, which again was the RQ one at 614 00:28:35,000 --> 00:28:37,920 Speaker 4: the time, or the Predator, And you know, I think 615 00:28:38,080 --> 00:28:40,440 Speaker 4: people start to go, okay, interesting, you know, it's great, 616 00:28:40,520 --> 00:28:43,640 Speaker 4: we can put up this high endurance platform they can orbit, 617 00:28:44,160 --> 00:28:46,680 Speaker 4: which by the way, that worked because me had air superiority. 618 00:28:46,760 --> 00:28:47,760 Speaker 3: No one's shooting it down. 619 00:28:48,440 --> 00:28:50,560 Speaker 4: And now I think it's airborne for let's say, ten 620 00:28:50,600 --> 00:28:55,520 Speaker 4: twenty hours and feedback this phenomenal taxical intelligence that then 621 00:28:55,560 --> 00:28:57,640 Speaker 4: our ground forces can use to be able to better 622 00:28:57,680 --> 00:28:59,920 Speaker 4: prosecute their targets and a comp cert mission. 623 00:29:00,400 --> 00:29:00,800 Speaker 3: Awesome. 624 00:29:00,880 --> 00:29:04,480 Speaker 4: Then we started adding health fire missiles to it, you know, 625 00:29:05,120 --> 00:29:09,880 Speaker 4: and we started shooting those and it's really interesting, right 626 00:29:10,120 --> 00:29:13,360 Speaker 4: and you know a lot of manned fighter pilots and 627 00:29:13,360 --> 00:29:15,000 Speaker 4: I will admit I fell into this category at one 628 00:29:15,040 --> 00:29:17,360 Speaker 4: point in time. We used to look at that and go, okay, well, 629 00:29:17,360 --> 00:29:20,000 Speaker 4: these these aren't real pilots, right, Okay, They're not putting 630 00:29:20,000 --> 00:29:21,800 Speaker 4: their life on the line. Their butt's not in the 631 00:29:21,800 --> 00:29:24,400 Speaker 4: combat zone, they're not getting shot at. But I tell 632 00:29:24,440 --> 00:29:27,440 Speaker 4: you what, I have super amount of respect for the 633 00:29:27,480 --> 00:29:29,120 Speaker 4: people who do that. And it took me time to 634 00:29:29,120 --> 00:29:32,200 Speaker 4: figure this out. But like when I would deploy and 635 00:29:32,280 --> 00:29:35,520 Speaker 4: fly in those environments and do those missions, I was 636 00:29:35,560 --> 00:29:37,960 Speaker 4: with a unit of people and we were all in 637 00:29:38,040 --> 00:29:40,360 Speaker 4: the same boat, and we would do our missions during 638 00:29:40,360 --> 00:29:42,240 Speaker 4: the day or night or whatever, and then we would 639 00:29:42,240 --> 00:29:44,080 Speaker 4: come back to our base and you're in your tent 640 00:29:44,200 --> 00:29:46,280 Speaker 4: or whatever it was, and you were around other people 641 00:29:46,320 --> 00:29:48,560 Speaker 4: who had done that, and it gave you a chance 642 00:29:48,640 --> 00:29:51,800 Speaker 4: to communicate, to offload these feelings that come with with 643 00:29:51,920 --> 00:29:54,920 Speaker 4: doing things like that that you know, humans just aren't 644 00:29:54,960 --> 00:29:58,720 Speaker 4: necessarily wired to do. But imagine this. Imagine you're sitting 645 00:29:58,800 --> 00:30:02,040 Speaker 4: in a cubicle same here in Nellis Air Force Base, Nevada, 646 00:30:02,880 --> 00:30:06,600 Speaker 4: and you're flying an airplane that is seven thousand miles away. 647 00:30:07,280 --> 00:30:11,920 Speaker 4: You were watching a target, an individual for hours, and 648 00:30:11,960 --> 00:30:16,760 Speaker 4: then you are you know, directed to essentially shoot your 649 00:30:16,760 --> 00:30:20,320 Speaker 4: missile and take that life, and then ten minutes later 650 00:30:20,360 --> 00:30:24,360 Speaker 4: read you drive your kids soccer game. Imagine that, I mean, 651 00:30:24,480 --> 00:30:27,360 Speaker 4: just the context shift. And so for a long time 652 00:30:27,480 --> 00:30:29,640 Speaker 4: I didn't understand what some of those folks were going through, 653 00:30:29,640 --> 00:30:32,680 Speaker 4: but I have a lot of deep empathy for what 654 00:30:32,680 --> 00:30:35,400 Speaker 4: they went through because I can only imagine. And so 655 00:30:35,520 --> 00:30:37,640 Speaker 4: getting back to kind of this idea we're talking about 656 00:30:37,680 --> 00:30:40,200 Speaker 4: about drones, So yeah, you're right. You know, you can 657 00:30:40,240 --> 00:30:41,840 Speaker 4: go on YouTube down and see a lot of these 658 00:30:41,880 --> 00:30:45,440 Speaker 4: FPV drones, and I think in some ways it's desensitizing, 659 00:30:45,920 --> 00:30:48,080 Speaker 4: But put yourself in the shoes of the person who 660 00:30:48,120 --> 00:30:52,120 Speaker 4: had to make that call to That's that's where I 661 00:30:52,160 --> 00:30:54,840 Speaker 4: hope the listeners and the people that are going to 662 00:30:54,840 --> 00:30:58,640 Speaker 4: watch those videos are actually thinking through that part of it, 663 00:30:58,680 --> 00:31:03,520 Speaker 4: because again might thesis is humans don't necessarily ever want 664 00:31:03,560 --> 00:31:05,520 Speaker 4: to do something like that, So whenever they have to 665 00:31:05,560 --> 00:31:09,040 Speaker 4: take an action like that, it's just it chips away humanity. 666 00:31:09,200 --> 00:31:11,200 Speaker 4: You know, want one tip at a time, So it's tough. 667 00:31:11,560 --> 00:31:13,240 Speaker 2: Well in some of these So you know, back in 668 00:31:13,280 --> 00:31:15,840 Speaker 2: the early two thousands, there was a photo that leaked 669 00:31:15,840 --> 00:31:19,040 Speaker 2: out of like the EOD team and they had an 670 00:31:19,200 --> 00:31:23,520 Speaker 2: Xbox controller in one of the young EOD operator's hands 671 00:31:23,520 --> 00:31:26,960 Speaker 2: controlling the robot, and it shows that this Xbox controller 672 00:31:27,000 --> 00:31:30,320 Speaker 2: and all of its configurations are just so muscle memory 673 00:31:30,400 --> 00:31:33,400 Speaker 2: for that age range of that individual. So now what 674 00:31:33,440 --> 00:31:34,760 Speaker 2: do they do? They just said, oh, why don't we 675 00:31:34,760 --> 00:31:37,520 Speaker 2: make the controllers like an Xbox. So now you've got 676 00:31:37,520 --> 00:31:39,160 Speaker 2: this dude and he's just like hunkered down with all 677 00:31:39,200 --> 00:31:41,040 Speaker 2: this gear on, and he's just like, all right, I'm 678 00:31:41,080 --> 00:31:42,800 Speaker 2: just going to control the robot like I know how 679 00:31:42,800 --> 00:31:45,720 Speaker 2: to control the robot. Roight, you know. So now you 680 00:31:45,720 --> 00:31:48,840 Speaker 2: flash forward to today. This was about twenty years ago 681 00:31:48,880 --> 00:31:53,520 Speaker 2: that photo came out. Today, you've got kids who have 682 00:31:53,640 --> 00:31:56,840 Speaker 2: been flying drones as a gift from Christmas time, yep. 683 00:31:57,520 --> 00:32:00,760 Speaker 2: And they're already like integrated with it and they're playing like, 684 00:32:01,120 --> 00:32:03,520 Speaker 2: you know, video games where these things are used and 685 00:32:03,600 --> 00:32:07,640 Speaker 2: implemented in missions, just like what you're talking about. Like 686 00:32:09,320 --> 00:32:12,280 Speaker 2: America's Army made a video game called The Army of 687 00:32:12,320 --> 00:32:15,080 Speaker 2: Two and it was a recruiting tool and you would 688 00:32:15,080 --> 00:32:17,160 Speaker 2: log in with your information. They would just capture your information. 689 00:32:17,320 --> 00:32:18,880 Speaker 2: I can only imagine if there was like a drone 690 00:32:19,040 --> 00:32:23,200 Speaker 2: FPV game and you're just pulling the last Starfighter out 691 00:32:23,200 --> 00:32:25,360 Speaker 2: of it? You it is you, You are the last 692 00:32:25,400 --> 00:32:28,720 Speaker 2: star Fighter. Yeah, Tay, what. 693 00:32:28,720 --> 00:32:30,440 Speaker 4: Rad You mentioned the book club that you have, and 694 00:32:30,480 --> 00:32:32,960 Speaker 4: I'm glad you have that. I've actually read a couple 695 00:32:33,000 --> 00:32:35,240 Speaker 4: of books. Now this author isn't you know, a former 696 00:32:35,280 --> 00:32:39,320 Speaker 4: special operator, but I would encourage your viewers to actually 697 00:32:39,360 --> 00:32:41,720 Speaker 4: go and read a book called Wired for War. It's 698 00:32:41,760 --> 00:32:44,600 Speaker 4: by a gentleman named Peter Singer and. 699 00:32:44,520 --> 00:32:45,080 Speaker 3: He wrote it. 700 00:32:45,240 --> 00:32:48,720 Speaker 4: This book is probably fifteen years old, but it actually 701 00:32:48,760 --> 00:32:51,400 Speaker 4: goes through this concept of hey, what does the world 702 00:32:51,680 --> 00:32:55,280 Speaker 4: look like when you're not risking human. 703 00:32:55,040 --> 00:32:56,360 Speaker 3: Lives to go to war? 704 00:32:57,240 --> 00:33:01,080 Speaker 4: And there's some interesting discussions there because on one guess what, 705 00:33:01,240 --> 00:33:04,200 Speaker 4: you're not risking human beings. So that's great, you know, 706 00:33:04,800 --> 00:33:07,880 Speaker 4: we have fewer losses. But on the other side is 707 00:33:08,040 --> 00:33:10,640 Speaker 4: if there are no human costs to war, do we 708 00:33:10,680 --> 00:33:13,000 Speaker 4: see it more often or do we see it less often? 709 00:33:13,760 --> 00:33:16,800 Speaker 4: So anyway, it's at a great book and I encourage 710 00:33:16,800 --> 00:33:17,960 Speaker 4: the folks to go take a look at it. 711 00:33:18,000 --> 00:33:19,880 Speaker 2: They haven't you make me take my glasses off with 712 00:33:19,920 --> 00:33:23,200 Speaker 2: that comment, because what I'm thinking about is the human 713 00:33:23,280 --> 00:33:27,000 Speaker 2: element in war? Okay, And let's not get lost on 714 00:33:27,040 --> 00:33:30,920 Speaker 2: the fact that somebody could take a moment and realize 715 00:33:30,920 --> 00:33:33,640 Speaker 2: maybe they shouldn't do what they were going to do, right, 716 00:33:34,480 --> 00:33:39,720 Speaker 2: And something autonomous and robotic will not have that same 717 00:33:40,360 --> 00:33:43,840 Speaker 2: probably stopping point of like maybe their mother. 718 00:33:44,840 --> 00:33:48,440 Speaker 4: Or maybe right. It could be the opposite. It really could, 719 00:33:48,640 --> 00:33:52,320 Speaker 4: because we acknowledge human beings make mistakes and war. 720 00:33:52,600 --> 00:33:56,880 Speaker 3: Yes, I know what I've seen it, and so some. 721 00:33:56,840 --> 00:33:58,480 Speaker 4: Of this i'd come at looking at kind of my 722 00:33:58,520 --> 00:33:59,640 Speaker 4: experience as being a pilot. 723 00:33:59,680 --> 00:33:59,920 Speaker 3: Right. 724 00:34:00,360 --> 00:34:02,920 Speaker 4: So in the F sixteen when I first started flying it, 725 00:34:02,960 --> 00:34:05,480 Speaker 4: our joke was everything was steam driven, right. You had 726 00:34:05,480 --> 00:34:08,840 Speaker 4: all these gauges, and I realized that I, as the pilot, 727 00:34:08,920 --> 00:34:11,560 Speaker 4: I was the integration engine for all these sensors. So 728 00:34:11,560 --> 00:34:13,160 Speaker 4: I had, you know, a radar thing that I could 729 00:34:13,160 --> 00:34:15,839 Speaker 4: look at, a radar warning receiver, had all these other 730 00:34:15,880 --> 00:34:20,040 Speaker 4: gauges and data links and whatnot, and all those data 731 00:34:20,080 --> 00:34:22,680 Speaker 4: came into my little brain, which I went to Alabama 732 00:34:22,760 --> 00:34:25,520 Speaker 4: Public School, so I can't process that much time, right, 733 00:34:26,200 --> 00:34:30,280 Speaker 4: So I was the limitation for the decision making power 734 00:34:30,320 --> 00:34:33,680 Speaker 4: in that airplane. But over time we started to add 735 00:34:33,920 --> 00:34:36,799 Speaker 4: more and more i'll call them layers of automation, and 736 00:34:36,800 --> 00:34:38,919 Speaker 4: then I had an opportunity to do some pilot vehicle 737 00:34:38,960 --> 00:34:41,439 Speaker 4: interface work in the F thirty five, which had this 738 00:34:41,480 --> 00:34:45,800 Speaker 4: one single integrated screen and like it was a fused 739 00:34:45,840 --> 00:34:48,040 Speaker 4: picture of what was going on in the world. And 740 00:34:48,120 --> 00:34:51,800 Speaker 4: I can't share one of the specific stories. But someone's like, okay, 741 00:34:51,800 --> 00:34:53,080 Speaker 4: you can do this now. I'm like, oh, hold on 742 00:34:53,160 --> 00:34:56,799 Speaker 4: a matte. You're telling me to trust this computer, when 743 00:34:57,480 --> 00:34:59,800 Speaker 4: before I do that, I would do these eleven things, 744 00:35:00,080 --> 00:35:02,600 Speaker 4: verify the rules of engagement were met, and then I 745 00:35:02,600 --> 00:35:05,120 Speaker 4: would make the decision. And I'm like, because if that's 746 00:35:05,120 --> 00:35:07,640 Speaker 4: what I do, see it says pilot right here. And 747 00:35:07,719 --> 00:35:10,120 Speaker 4: so they're like, okay, well you can do those things 748 00:35:10,120 --> 00:35:13,160 Speaker 4: if you want, but do you think you could do 749 00:35:13,200 --> 00:35:15,400 Speaker 4: them faster and more accurately than the computer? And my 750 00:35:15,440 --> 00:35:18,040 Speaker 4: initial answer was, of course I can. But what I 751 00:35:18,120 --> 00:35:21,360 Speaker 4: learned over time is these things that I was spending 752 00:35:21,520 --> 00:35:27,600 Speaker 4: my limited gray matter processing were really just wrote calculations 753 00:35:27,800 --> 00:35:30,320 Speaker 4: and adding this and that, and believe or not, the 754 00:35:30,320 --> 00:35:33,560 Speaker 4: computer was way faster doing that than I was. And 755 00:35:33,600 --> 00:35:35,680 Speaker 4: now it took time to develop trust. And this is 756 00:35:35,719 --> 00:35:37,040 Speaker 4: the key point. I think we have to get to. 757 00:35:37,440 --> 00:35:37,920 Speaker 3: It's trust. 758 00:35:37,960 --> 00:35:41,239 Speaker 4: But once I developed that trust, what I learned is 759 00:35:41,239 --> 00:35:43,279 Speaker 4: that now all those things I was trying to do 760 00:35:43,360 --> 00:35:46,399 Speaker 4: with the limited gray matter that got freed up, and 761 00:35:46,440 --> 00:35:49,320 Speaker 4: now I could use that limited grade matter to accomplish 762 00:35:49,400 --> 00:35:52,320 Speaker 4: the higher order things and the things that maybe only 763 00:35:52,360 --> 00:35:53,080 Speaker 4: a human. 764 00:35:52,960 --> 00:35:54,160 Speaker 3: Can bring to a battle. 765 00:35:54,440 --> 00:35:57,719 Speaker 4: And that's applying moral precepts to it and moral concepts 766 00:35:57,760 --> 00:36:00,279 Speaker 4: and going, okay, here's the mission. Is that the right 767 00:36:00,320 --> 00:36:00,799 Speaker 4: thing to do? 768 00:36:01,520 --> 00:36:01,759 Speaker 3: You know? 769 00:36:01,840 --> 00:36:04,840 Speaker 4: Can I maximize or reduce risk by doing these other things? 770 00:36:05,040 --> 00:36:07,640 Speaker 4: So I got to focus on those things instead of 771 00:36:08,040 --> 00:36:10,480 Speaker 4: what's the airspeed, what's the angle? How many milli radients 772 00:36:10,480 --> 00:36:12,640 Speaker 4: do you dial in? And all those other things that 773 00:36:12,719 --> 00:36:14,480 Speaker 4: you used to have to do. So in a lot 774 00:36:14,520 --> 00:36:19,000 Speaker 4: of ways, I think that automation in certain areas autonomy 775 00:36:19,719 --> 00:36:23,759 Speaker 4: are will actually decrease the amount of errors that happen 776 00:36:23,800 --> 00:36:25,759 Speaker 4: over time. And now I will I get it. I 777 00:36:25,760 --> 00:36:29,680 Speaker 4: acknowledge that, you know, we just based on understanding of 778 00:36:29,719 --> 00:36:33,560 Speaker 4: computer vision models. There are errors, there could be biases 779 00:36:33,600 --> 00:36:35,880 Speaker 4: in the training data, but we are learning how to 780 00:36:36,000 --> 00:36:38,880 Speaker 4: solve many of those things. And if you look at 781 00:36:38,880 --> 00:36:41,600 Speaker 4: the air rate of that that CD model compared to 782 00:36:41,600 --> 00:36:44,200 Speaker 4: the air rate of human being that is, you know, 783 00:36:44,440 --> 00:36:48,320 Speaker 4: pissed off, tired, everything else that happens when you're in combat. 784 00:36:48,960 --> 00:36:52,600 Speaker 4: Turns out the human typically makes more errors. So from 785 00:36:52,600 --> 00:36:54,960 Speaker 4: that aspect, you've got it. But now what I do 786 00:36:55,000 --> 00:36:57,200 Speaker 4: think I get back to this idea of trust. So 787 00:36:57,239 --> 00:37:00,920 Speaker 4: the only way this works is when the operator trust 788 00:37:00,960 --> 00:37:03,680 Speaker 4: the system. And by the way, I saw several times 789 00:37:03,680 --> 00:37:06,560 Speaker 4: in the airplane where we would institute new feature X, 790 00:37:07,120 --> 00:37:08,880 Speaker 4: and you know, the first two times you try to 791 00:37:08,960 --> 00:37:11,640 Speaker 4: use it, it didn't work. Well, we never used it again, 792 00:37:11,800 --> 00:37:14,200 Speaker 4: we turned it off. We're like, don't trust it, so 793 00:37:14,239 --> 00:37:17,000 Speaker 4: it never got used. And then but once you did 794 00:37:17,080 --> 00:37:20,080 Speaker 4: start trusting it, you know, it became a very valuable tool. 795 00:37:20,760 --> 00:37:23,319 Speaker 4: Now you have to worry about relying on something so 796 00:37:23,360 --> 00:37:25,320 Speaker 4: much so that if it goes away, you know, people 797 00:37:25,320 --> 00:37:28,160 Speaker 4: can still do the mission quote unquote manually. But the 798 00:37:28,239 --> 00:37:30,719 Speaker 4: other part of this, and this is where I was lucky. 799 00:37:30,760 --> 00:37:33,680 Speaker 4: I was able to work with some organizations on some 800 00:37:33,719 --> 00:37:37,840 Speaker 4: AI ethics principles and the idea. And DD has captured this, 801 00:37:37,920 --> 00:37:40,400 Speaker 4: by the way in there three thousand. 802 00:37:40,160 --> 00:37:43,280 Speaker 3: Point nine and some other documents where it's. 803 00:37:43,120 --> 00:37:45,600 Speaker 4: Like, all right, how must humans interact with some of 804 00:37:45,640 --> 00:37:48,839 Speaker 4: these algorithms? And the most important thing, and DUTY has 805 00:37:48,880 --> 00:37:53,040 Speaker 4: captured this is that at some point in this decision chain, 806 00:37:53,120 --> 00:37:56,480 Speaker 4: I will call it. A human being must be accountable 807 00:37:57,200 --> 00:38:00,880 Speaker 4: for the outcome or the output of that drum of 808 00:38:01,040 --> 00:38:04,239 Speaker 4: that ag or you know, whatever happened. And if you 809 00:38:04,280 --> 00:38:09,040 Speaker 4: can do that, that is you're narrowing in on about 810 00:38:09,080 --> 00:38:10,319 Speaker 4: the best system that you can't create. 811 00:38:10,440 --> 00:38:16,160 Speaker 2: I see, well you seem to make sense. Okay, well, you. 812 00:38:16,120 --> 00:38:18,840 Speaker 4: Know what, have another drink and I'll make even more sense. 813 00:38:18,920 --> 00:38:21,799 Speaker 2: I'm following you so far. And that's when a kid 814 00:38:21,800 --> 00:38:26,920 Speaker 2: who went to Utah Public schools here cheers, cheers, teers 815 00:38:26,960 --> 00:38:29,080 Speaker 2: to you as well. Yes, no, I mean, wow, what 816 00:38:29,120 --> 00:38:33,799 Speaker 2: a what a load on your plate. Let's think outer 817 00:38:33,960 --> 00:38:37,480 Speaker 2: space for a second. Yeah, drones and outer space? Okay, 818 00:38:38,480 --> 00:38:42,680 Speaker 2: what about drones that want to go and harvest asteroid 819 00:38:42,760 --> 00:38:46,719 Speaker 2: belts to bring back the minerals that they can and 820 00:38:46,880 --> 00:38:50,040 Speaker 2: upon re entry the quote I'm just I remember I 821 00:38:50,080 --> 00:38:51,680 Speaker 2: was went in a high tech company, and I remember 822 00:38:51,680 --> 00:38:53,799 Speaker 2: a few other high tech companies got together to give 823 00:38:53,840 --> 00:38:57,279 Speaker 2: a billion dollars towards a program to send all these 824 00:38:57,320 --> 00:39:01,160 Speaker 2: autonomous drones out of our atmosphere to harvest asteroids that 825 00:39:01,239 --> 00:39:03,719 Speaker 2: have told the platinum and titanium on them and bring 826 00:39:03,760 --> 00:39:06,720 Speaker 2: it back and they're thinking if they send five hundred 827 00:39:06,760 --> 00:39:09,200 Speaker 2: drones to go do this mission and they get three 828 00:39:09,280 --> 00:39:13,360 Speaker 2: hundred back, one drone with any of that stuff is 829 00:39:13,360 --> 00:39:16,640 Speaker 2: worth all of the drones. Is that something that's in 830 00:39:16,680 --> 00:39:20,680 Speaker 2: the Skydio world. Are you guys looking to harvest asteroids? 831 00:39:21,160 --> 00:39:24,320 Speaker 4: Skydio is not in the android harvesting business at present. 832 00:39:25,320 --> 00:39:29,080 Speaker 4: We're staying within the atmosphere and for the most part, saying. 833 00:39:28,880 --> 00:39:31,919 Speaker 3: With small quad copters okay for the time being. 834 00:39:31,960 --> 00:39:33,960 Speaker 4: But just from a conceptual standpoint, and by the way, 835 00:39:34,400 --> 00:39:37,360 Speaker 4: rad I mentioned, I have an injury background. That background 836 00:39:37,440 --> 00:39:40,880 Speaker 4: is an astronautical engineering, so this is something I've actually 837 00:39:40,920 --> 00:39:45,920 Speaker 4: thought about before. It's conceptually possible. I don't know if 838 00:39:45,960 --> 00:39:49,279 Speaker 4: it's economically viable in the short run, because I just 839 00:39:49,320 --> 00:39:51,440 Speaker 4: think of the energy that it takes to get out 840 00:39:51,440 --> 00:39:55,120 Speaker 4: of the atmosphere to get to an asteroid, to slow down, 841 00:39:55,719 --> 00:39:59,920 Speaker 4: to stop on an asteroid, to dig and collect my stuff, 842 00:40:00,000 --> 00:40:03,000 Speaker 4: and then blast back off the asteroid. You know, fortunately 843 00:40:03,040 --> 00:40:04,879 Speaker 4: you got the atmosphere and the Earth that would slow 844 00:40:04,880 --> 00:40:07,879 Speaker 4: you back down to a certain point. But that's that's 845 00:40:07,920 --> 00:40:10,560 Speaker 4: a lot of ifs and a lot of energy expenditure, 846 00:40:10,960 --> 00:40:12,800 Speaker 4: And like I said, from a centraal standpoint. 847 00:40:12,840 --> 00:40:15,120 Speaker 3: Yes, one hundredson doable. We have studio. We're not going 848 00:40:15,160 --> 00:40:16,319 Speaker 3: to do that. I won't make that clear. 849 00:40:16,719 --> 00:40:21,360 Speaker 4: But yeah, economically or economic viability, that part I don't know. 850 00:40:21,719 --> 00:40:24,240 Speaker 2: Well, then let me ask you another left field question 851 00:40:24,280 --> 00:40:28,840 Speaker 2: about drones. Okay within the extreme sports world, So how 852 00:40:28,880 --> 00:40:31,799 Speaker 2: about a drone that can follow me while I snowboard 853 00:40:31,960 --> 00:40:35,640 Speaker 2: or skateboard. You know, I thought I saw something that 854 00:40:35,760 --> 00:40:38,439 Speaker 2: trended on a social media page years and years ago. 855 00:40:38,760 --> 00:40:40,640 Speaker 2: I say that like five years ago, six years ago. 856 00:40:40,680 --> 00:40:43,319 Speaker 2: It's like, ye, buy in on this and you'll get 857 00:40:43,320 --> 00:40:44,880 Speaker 2: a first sample of it. I never saw it ever 858 00:40:44,920 --> 00:40:47,960 Speaker 2: come to the market. Is there anything that Skydio is 859 00:40:48,000 --> 00:40:50,280 Speaker 2: going to be looking at because I am a hardcore 860 00:40:50,400 --> 00:40:51,800 Speaker 2: extreme snowboarder myself. 861 00:40:51,920 --> 00:40:54,400 Speaker 4: Yeah, well, we've got to get you a Scudio drone, 862 00:40:54,480 --> 00:40:57,520 Speaker 4: right because that actually is how the company cut its teeth. 863 00:40:58,040 --> 00:41:02,720 Speaker 4: So our founder, Adam, he was an RC remote control 864 00:41:02,760 --> 00:41:06,000 Speaker 4: pilot and he was a world championhip doing that. But 865 00:41:06,080 --> 00:41:08,880 Speaker 4: he recognized how hard it was to actually fly a 866 00:41:08,920 --> 00:41:10,920 Speaker 4: remote control vehicle at the time. I mean, you had 867 00:41:10,960 --> 00:41:13,960 Speaker 4: to be a highly trained pilot to make this thing sing, 868 00:41:14,000 --> 00:41:15,640 Speaker 4: and to do it at the level he was doing it, 869 00:41:15,880 --> 00:41:17,240 Speaker 4: I mean, you had to be world renowned. 870 00:41:17,800 --> 00:41:18,600 Speaker 2: So and he was. 871 00:41:18,600 --> 00:41:22,120 Speaker 4: Getting his master's degree and MIT and he was like, 872 00:41:22,160 --> 00:41:25,120 Speaker 4: wait a minute, if I could abstract all the hard 873 00:41:25,160 --> 00:41:28,080 Speaker 4: piloting stuff out of this and make it so that 874 00:41:28,280 --> 00:41:31,399 Speaker 4: just about anyone could use an aerial vehicle, more people 875 00:41:31,440 --> 00:41:34,640 Speaker 4: would use aerial vehicles, and all these industries would pop 876 00:41:34,719 --> 00:41:36,960 Speaker 4: up and hey, I see a business opportunity. That's how 877 00:41:36,960 --> 00:41:40,320 Speaker 4: Skydio got it start. So one of the first things, 878 00:41:40,520 --> 00:41:42,960 Speaker 4: and you can go online on YouTube, there's kind of 879 00:41:43,120 --> 00:41:46,000 Speaker 4: a viral video that you probably have seen, and it's 880 00:41:46,120 --> 00:41:48,480 Speaker 4: a little glider with a small engine on it and 881 00:41:48,480 --> 00:41:53,440 Speaker 4: it's zipping through an underground garage with cars and it's 882 00:41:53,520 --> 00:41:56,480 Speaker 4: you know, avoiding all of the stanchions and the cars. Well, 883 00:41:56,520 --> 00:42:00,560 Speaker 4: that was Adam Breeze graduate thesis. That's what he did 884 00:42:00,680 --> 00:42:03,680 Speaker 4: is to create that obstle avointance using computer vision, and 885 00:42:03,719 --> 00:42:05,680 Speaker 4: then from there he got brought in by Google to 886 00:42:05,719 --> 00:42:08,080 Speaker 4: create Google Wing and then later on put out his 887 00:42:08,120 --> 00:42:12,120 Speaker 4: own shingle with Skydio. So step one was creating that 888 00:42:12,160 --> 00:42:15,240 Speaker 4: obstacle avoidance in the drone and then once that was done, 889 00:42:15,440 --> 00:42:17,800 Speaker 4: so that made it easy to fly hard to crash 890 00:42:17,840 --> 00:42:20,759 Speaker 4: all those things. Step two is to using those same 891 00:42:20,800 --> 00:42:23,600 Speaker 4: technologies around computer vision to be able to do something 892 00:42:23,640 --> 00:42:26,480 Speaker 4: simple like track a subject. So it turns out the 893 00:42:26,520 --> 00:42:29,480 Speaker 4: first drones we made ended up in you know, the 894 00:42:29,560 --> 00:42:32,520 Speaker 4: consumer space, but it was more of a prosumer model 895 00:42:32,880 --> 00:42:35,000 Speaker 4: because you're injecting a lot of software and a lot 896 00:42:35,000 --> 00:42:36,480 Speaker 4: of AI in them, so they were a little more 897 00:42:36,480 --> 00:42:39,520 Speaker 4: expensive then you know, the ninety nine dollars drone you 898 00:42:39,560 --> 00:42:41,799 Speaker 4: might be able to pick up on Amazon. So it 899 00:42:41,840 --> 00:42:45,200 Speaker 4: was people, you know in the extreme sports world. They 900 00:42:45,200 --> 00:42:47,439 Speaker 4: were like, Hey, I want to ski off this big 901 00:42:47,480 --> 00:42:49,480 Speaker 4: ski jump in Jackson Hole and I want someone to 902 00:42:49,480 --> 00:42:52,360 Speaker 4: film me. But having your friend jump off next to 903 00:42:52,400 --> 00:42:54,920 Speaker 4: you and try to stay just putting on work. But 904 00:42:55,120 --> 00:42:58,040 Speaker 4: it turns out a drone could lock onto you, follow 905 00:42:58,080 --> 00:43:00,920 Speaker 4: you switching down the hill, and then you through the jump. 906 00:43:01,320 --> 00:43:04,520 Speaker 4: So that's actually what really got Skydy too at start. 907 00:43:05,080 --> 00:43:07,600 Speaker 2: I love that because I love I mean, I ride 908 00:43:07,680 --> 00:43:10,919 Speaker 2: and my wife rides as well, and she's really good. 909 00:43:11,400 --> 00:43:13,120 Speaker 2: She's actually better than me. Excuse me, let me just 910 00:43:13,120 --> 00:43:15,200 Speaker 2: put it out there. She's faster than me. She's just 911 00:43:15,200 --> 00:43:18,279 Speaker 2: got just a better edge on her snowboard. But she 912 00:43:18,400 --> 00:43:21,080 Speaker 2: follows me everywhere we go, and so she's basically like 913 00:43:21,200 --> 00:43:21,760 Speaker 2: my chase. 914 00:43:22,480 --> 00:43:26,040 Speaker 4: Yea, right, and you invite me out to go to 915 00:43:26,080 --> 00:43:28,000 Speaker 4: Park City, I'll bring a dram with you, man, and 916 00:43:28,239 --> 00:43:29,919 Speaker 4: we'll film something on the slopes. 917 00:43:29,600 --> 00:43:32,480 Speaker 2: This one okay? Then perfect, you're invited, and we'll go 918 00:43:32,520 --> 00:43:35,760 Speaker 2: to Brighton Because I actually know that we could use Brighton. 919 00:43:35,800 --> 00:43:37,799 Speaker 2: I can make a phone call and say hey, can 920 00:43:37,800 --> 00:43:39,400 Speaker 2: we come up here and do some stuff. He'd be 921 00:43:39,440 --> 00:43:41,879 Speaker 2: like rad you know it. And I'd be like, let's 922 00:43:41,920 --> 00:43:44,440 Speaker 2: go in the trees. Do you ski your snowboard? 923 00:43:45,440 --> 00:43:45,680 Speaker 3: Yeah? 924 00:43:45,760 --> 00:43:49,359 Speaker 4: Well I'm a skier man, and I spent a lot 925 00:43:49,360 --> 00:43:51,200 Speaker 4: of time on my ass, so that's okay. 926 00:43:51,320 --> 00:43:53,960 Speaker 2: I snowboard, so I spend a lot of time on 927 00:43:54,000 --> 00:43:57,959 Speaker 2: my ass. So we'll be there. We'll be just fine. 928 00:43:58,360 --> 00:44:01,480 Speaker 2: We'll be totally fighted. And no, no, that makes me excited. 929 00:44:01,520 --> 00:44:04,160 Speaker 2: I love talking about snow and snowboarding and getting ready 930 00:44:04,160 --> 00:44:07,120 Speaker 2: to go ride and having something that could follow me, 931 00:44:07,719 --> 00:44:09,160 Speaker 2: you know, that would be the way to go. We 932 00:44:09,239 --> 00:44:13,120 Speaker 2: tried to turn my indoor warehouse into like a drone 933 00:44:13,880 --> 00:44:16,840 Speaker 2: race environment in the very beginning, but we were so 934 00:44:17,000 --> 00:44:19,719 Speaker 2: close to hill that it was like you're within five 935 00:44:19,800 --> 00:44:23,759 Speaker 2: hundred feet of an air base, bro, And I was like, yeah, 936 00:44:23,760 --> 00:44:25,520 Speaker 2: I am, I know, I am. I want that, I 937 00:44:25,560 --> 00:44:29,040 Speaker 2: want them. I want to be that close. But I 938 00:44:29,040 --> 00:44:31,640 Speaker 2: couldn't even fly inside my own building. So there are 939 00:44:31,680 --> 00:44:34,799 Speaker 2: restrictions with drones and that should be put out there 940 00:44:34,840 --> 00:44:36,879 Speaker 2: that you know not you just can't fly it near 941 00:44:37,440 --> 00:44:40,759 Speaker 2: certain environments, you know, like an air force base. 942 00:44:40,880 --> 00:44:44,520 Speaker 4: Is like no, yeah, I would encourage everyone that's operating 943 00:44:44,520 --> 00:44:47,480 Speaker 4: a drone. There's some great training courses and we just 944 00:44:47,520 --> 00:44:49,359 Speaker 4: got to offer them and go to our websites, goide 945 00:44:49,360 --> 00:44:51,759 Speaker 4: dot com and there are some resources there, but you 946 00:44:51,760 --> 00:44:53,640 Speaker 4: can go. You can go to the Boy Scout website 947 00:44:53,719 --> 00:44:56,239 Speaker 4: and there's a drone training thing. 948 00:44:56,239 --> 00:44:56,839 Speaker 3: You'd think to. 949 00:44:56,760 --> 00:44:59,520 Speaker 4: Get what's called a trust certificate. Then once you have 950 00:44:59,600 --> 00:45:01,680 Speaker 4: your trust certificate, it will show you all right, here's 951 00:45:01,719 --> 00:45:04,799 Speaker 4: some great applications to use on your phone, so you 952 00:45:04,840 --> 00:45:06,480 Speaker 4: can hit the button and go can I fly the 953 00:45:06,560 --> 00:45:09,160 Speaker 4: drone here? And it will tell you yes, you can 954 00:45:09,160 --> 00:45:11,000 Speaker 4: fly it up to two hundred feet and you can 955 00:45:11,000 --> 00:45:12,920 Speaker 4: go out this far and that far. And some of 956 00:45:12,920 --> 00:45:15,880 Speaker 4: those things are just great things to have because you 957 00:45:15,920 --> 00:45:19,279 Speaker 4: are sharing the airspace with other things, and many of 958 00:45:19,280 --> 00:45:19,920 Speaker 4: those things. 959 00:45:19,680 --> 00:45:20,440 Speaker 3: Have people in them. 960 00:45:20,640 --> 00:45:21,399 Speaker 2: It's very real. 961 00:45:22,080 --> 00:45:24,400 Speaker 4: It's part of being you know, a safe operator. 962 00:45:24,640 --> 00:45:26,640 Speaker 2: It is, it's very real. It's respectful. You got to 963 00:45:26,640 --> 00:45:28,759 Speaker 2: respect the airspace because there's a lot going on. It's 964 00:45:28,760 --> 00:45:31,520 Speaker 2: a whole nother roadway. Right, you guys have maps and 965 00:45:31,960 --> 00:45:35,120 Speaker 2: grids and coordinates, and if not found it, you just 966 00:45:35,120 --> 00:45:37,200 Speaker 2: fly a drone right into somebody that doesn't need it. 967 00:45:37,920 --> 00:45:38,440 Speaker 3: Yeah. 968 00:45:38,480 --> 00:45:40,239 Speaker 4: So right, you were talking about the hey, follow me, 969 00:45:40,320 --> 00:45:40,840 Speaker 4: you know, down. 970 00:45:40,719 --> 00:45:41,719 Speaker 3: The stuff type thing. 971 00:45:42,160 --> 00:45:45,080 Speaker 4: So with some of those technologies that we incorporated into 972 00:45:45,120 --> 00:45:48,960 Speaker 4: our first drone, we're part of the short Range Reconnaissance 973 00:45:49,080 --> 00:45:52,600 Speaker 4: program for the US Army, and it was some of 974 00:45:52,600 --> 00:45:55,120 Speaker 4: those type of things that we modified for use for 975 00:45:55,120 --> 00:45:57,239 Speaker 4: the US Army. Like, for instance, there's a mode that 976 00:45:57,239 --> 00:45:59,719 Speaker 4: we call scout mode. So you're in your hum Vy 977 00:46:00,080 --> 00:46:02,960 Speaker 4: in your convoy, right, you throw a drone out and 978 00:46:03,000 --> 00:46:06,239 Speaker 4: this thing will zip without you touching six and throttles, 979 00:46:06,560 --> 00:46:09,040 Speaker 4: zip out a couple of kilometers in front, scan the area, 980 00:46:09,400 --> 00:46:11,960 Speaker 4: scan behind you, and you're not touching the sick of throttle, 981 00:46:11,960 --> 00:46:14,880 Speaker 4: but it's building a three hundred and sixty awareness bubble 982 00:46:14,880 --> 00:46:17,680 Speaker 4: around you. The convoy turns, the drone goes what I mean, 983 00:46:18,080 --> 00:46:19,960 Speaker 4: it is things like that that you can see we 984 00:46:20,000 --> 00:46:22,840 Speaker 4: took from that world and we're able to incorporate into 985 00:46:22,880 --> 00:46:27,160 Speaker 4: the combat world that to bring value and save lives. 986 00:46:27,800 --> 00:46:30,919 Speaker 2: I love the life saving. I love that I do. 987 00:46:31,040 --> 00:46:33,760 Speaker 2: And uh, I understand it might cost like a million 988 00:46:33,800 --> 00:46:37,239 Speaker 2: dollars to build some fancy drone, but you're priceless as 989 00:46:37,239 --> 00:46:38,040 Speaker 2: a human, as. 990 00:46:37,920 --> 00:46:40,760 Speaker 4: A person, and we're not millions of dollars. 991 00:46:41,360 --> 00:46:43,560 Speaker 2: Yeah, right right. I'm just saying the worth and the 992 00:46:43,960 --> 00:46:47,640 Speaker 2: worth of life versus the cost. You know, you know, 993 00:46:47,680 --> 00:46:51,799 Speaker 2: we always want less life lost, period. We just need more, 994 00:46:51,880 --> 00:46:56,200 Speaker 2: We just need less tyrants, yeah. 995 00:46:55,760 --> 00:46:58,160 Speaker 4: For sure. But I mean to that end, we're doing 996 00:46:58,160 --> 00:46:58,960 Speaker 4: what we can. 997 00:46:59,120 --> 00:47:02,000 Speaker 3: Yes, uh, in Ukraine right now, so. 998 00:47:02,000 --> 00:47:03,440 Speaker 4: You know, I think again, a lot of people see 999 00:47:03,480 --> 00:47:06,400 Speaker 4: the FPV stuff. What a lot of people don't see 1000 00:47:06,800 --> 00:47:10,200 Speaker 4: again are what systems or the Ukrainians used to spot 1001 00:47:10,360 --> 00:47:12,200 Speaker 4: so they can shoot the one FI five or the 1002 00:47:12,280 --> 00:47:15,760 Speaker 4: FPV drones. And turns out they're using small ISR drones 1003 00:47:15,800 --> 00:47:18,960 Speaker 4: like ours. And we have thousands over there right now, 1004 00:47:19,880 --> 00:47:22,520 Speaker 4: and that's it's a meaningful thing. And actually I'm going 1005 00:47:22,560 --> 00:47:24,440 Speaker 4: back over again in a couple of weeks, and I've 1006 00:47:24,480 --> 00:47:27,479 Speaker 4: been over there several times. Our team's been over many 1007 00:47:27,719 --> 00:47:30,360 Speaker 4: times here in the last year to get feedback and 1008 00:47:30,360 --> 00:47:32,040 Speaker 4: one of the biggest things happening there. And by the way, 1009 00:47:32,040 --> 00:47:36,960 Speaker 4: if anyone questions are these drones strategically valuable, the answer 1010 00:47:37,000 --> 00:47:40,000 Speaker 4: is yes. And if you want proof, just look at 1011 00:47:40,040 --> 00:47:43,080 Speaker 4: all the time, money and attention the Russians are putting 1012 00:47:43,120 --> 00:47:44,200 Speaker 4: it stopping. 1013 00:47:43,800 --> 00:47:45,080 Speaker 3: Them from using them. 1014 00:47:45,080 --> 00:47:46,839 Speaker 4: And you know the primary way right now is they're 1015 00:47:46,880 --> 00:47:50,959 Speaker 4: using electrobabatic warfare EW, so they're trying to jam either 1016 00:47:51,000 --> 00:47:55,279 Speaker 4: the radio link between the controller and the drone or 1017 00:47:55,320 --> 00:47:59,279 Speaker 4: they're trying to jam the GPS or GNSS signal or 1018 00:47:59,400 --> 00:48:03,440 Speaker 4: sometimes both right and whenever they do that and drones 1019 00:48:03,440 --> 00:48:06,120 Speaker 4: can't fly, the Ukraineans were limited in how they can 1020 00:48:06,200 --> 00:48:08,400 Speaker 4: use their firepower. So we've been spending a lot of 1021 00:48:08,440 --> 00:48:11,720 Speaker 4: time and effort into increasing our EW resilience by building 1022 00:48:11,960 --> 00:48:15,520 Speaker 4: better software defined radios and uses some different techniques to 1023 00:48:15,560 --> 00:48:18,319 Speaker 4: be able to operate in GPS deny environments. And so 1024 00:48:19,400 --> 00:48:22,120 Speaker 4: that's having a meaningful impact right now, which is why 1025 00:48:22,120 --> 00:48:23,840 Speaker 4: we're spending so much time over there, because it's a 1026 00:48:23,880 --> 00:48:27,120 Speaker 4: problem worth solving to save lives, and it's not just 1027 00:48:27,680 --> 00:48:29,759 Speaker 4: in Ukraine, you know, I think that these things will 1028 00:48:29,840 --> 00:48:32,680 Speaker 4: be valuable for US forces. You know, anything that happs 1029 00:48:32,719 --> 00:48:35,120 Speaker 4: an indo pay com and so by the way, you know, 1030 00:48:35,200 --> 00:48:39,000 Speaker 4: you're operating even in a commercial context, so you're downtown 1031 00:48:39,040 --> 00:48:41,640 Speaker 4: New York, you're trying to fly in that urban canyon 1032 00:48:41,680 --> 00:48:44,680 Speaker 4: of buildings, we'll due to something called multipathing. Guess what, 1033 00:48:44,840 --> 00:48:48,160 Speaker 4: GPS signals get scrambled and now you can't operate. So 1034 00:48:48,480 --> 00:48:50,279 Speaker 4: you know, this is one of those rising tides lifts 1035 00:48:50,280 --> 00:48:53,000 Speaker 4: all boats. But it's something we've been spending a lot 1036 00:48:53,000 --> 00:48:53,360 Speaker 4: of time on. 1037 00:48:53,640 --> 00:48:56,080 Speaker 2: Well can they even you know, we have to build 1038 00:48:56,080 --> 00:48:58,600 Speaker 2: a dock in Gaza to help try to get aid 1039 00:48:58,760 --> 00:49:01,520 Speaker 2: into Gaza. We have to build a here, like you know, 1040 00:49:01,760 --> 00:49:04,840 Speaker 2: so much CB's involved, so much engineering involved, you know, 1041 00:49:05,400 --> 00:49:08,760 Speaker 2: gunshots coming back and forth from sporadic actors in the situation, 1042 00:49:09,560 --> 00:49:13,360 Speaker 2: would your drones be able to deliver a to a 1043 00:49:13,480 --> 00:49:17,640 Speaker 2: place and drop it, Yeah, so our drones. 1044 00:49:17,400 --> 00:49:20,520 Speaker 4: Are pretty small, so the payload carry capacity would not 1045 00:49:20,600 --> 00:49:24,160 Speaker 4: be that much. So you absolutely could drop small things. 1046 00:49:24,840 --> 00:49:26,960 Speaker 4: And that's like our newest drone is my fact, we 1047 00:49:27,000 --> 00:49:30,920 Speaker 4: called the X ten was specifically designed for some modularity. 1048 00:49:31,040 --> 00:49:33,919 Speaker 4: So it's got hard points, four of them, one on top, 1049 00:49:34,000 --> 00:49:36,960 Speaker 4: one bottom, and then one on each side to plug 1050 00:49:37,000 --> 00:49:41,600 Speaker 4: in USB C accessories. And so the idea is, you know, 1051 00:49:41,640 --> 00:49:44,120 Speaker 4: we've made a couple of accessories. We have a speaker 1052 00:49:44,200 --> 00:49:47,040 Speaker 4: and a microphone and a spotlight and things like that, 1053 00:49:47,360 --> 00:49:49,279 Speaker 4: you know, mostly things that maybe if you were in 1054 00:49:49,320 --> 00:49:53,200 Speaker 4: a law enforcement situation needed to negotiate with the hostage, 1055 00:49:53,440 --> 00:49:56,080 Speaker 4: you know, a hostage situation you could speak with and 1056 00:49:56,120 --> 00:49:59,799 Speaker 4: hear someone, or a spotlight maybe to track someone at night. 1057 00:50:00,320 --> 00:50:02,280 Speaker 4: And by the way, you know, all this obstacle avoidance 1058 00:50:02,280 --> 00:50:04,160 Speaker 4: and the AI stuff that I've talked about, we've now 1059 00:50:04,160 --> 00:50:06,440 Speaker 4: incorporated all that capability at night with something that we 1060 00:50:06,480 --> 00:50:09,400 Speaker 4: call night since. So it's a great package. But one 1061 00:50:09,440 --> 00:50:11,120 Speaker 4: of the things we did realize is, hey, you know, 1062 00:50:11,120 --> 00:50:12,120 Speaker 4: we think we're pretty smart. 1063 00:50:12,120 --> 00:50:13,799 Speaker 3: It's guideo, but we. 1064 00:50:13,760 --> 00:50:17,919 Speaker 4: Don't have a uh, we don't know everyone's job, right, 1065 00:50:17,960 --> 00:50:20,520 Speaker 4: so someone's going to need something that just isn't in 1066 00:50:20,560 --> 00:50:23,440 Speaker 4: our wheelhouse to make. And so the idea was, we 1067 00:50:23,480 --> 00:50:27,080 Speaker 4: can share you know, interface document with our here's how 1068 00:50:27,080 --> 00:50:29,960 Speaker 4: you interface with the software through these USB ports, here's 1069 00:50:30,000 --> 00:50:32,759 Speaker 4: how you get power. And you know, we already have 1070 00:50:32,800 --> 00:50:35,879 Speaker 4: some people working on you know, a dropper in order 1071 00:50:35,920 --> 00:50:38,440 Speaker 4: to drop a life jacket someone who's in the. 1072 00:50:38,400 --> 00:50:41,920 Speaker 2: Water, That's what I So, that's that's a very valuable asset, 1073 00:50:42,800 --> 00:50:45,279 Speaker 2: very valuable asset, you know, like that joke can get 1074 00:50:45,320 --> 00:50:48,759 Speaker 2: out there before a lifeguard, get out there while the 1075 00:50:48,760 --> 00:50:49,560 Speaker 2: life guard is still. 1076 00:50:49,360 --> 00:50:51,880 Speaker 4: Go bottle of water or medicine or a medkit, you know, 1077 00:50:51,920 --> 00:50:52,600 Speaker 4: and a such a rest. 1078 00:50:52,840 --> 00:50:55,600 Speaker 2: Seriously, Yeah, there's just so many, like you know, I mean, 1079 00:50:55,680 --> 00:51:01,160 Speaker 2: I you know, Amazon is dropping drone packages of livery services, right, 1080 00:51:01,200 --> 00:51:06,000 Speaker 2: It's like there is value and a need and a 1081 00:51:06,040 --> 00:51:08,640 Speaker 2: space for that, and I just see, you know, it's like, 1082 00:51:09,440 --> 00:51:12,279 Speaker 2: how do we explain this? Okay? So like when Oppenheimer 1083 00:51:12,360 --> 00:51:14,839 Speaker 2: created you know, when he could split the atom okay, 1084 00:51:14,880 --> 00:51:16,479 Speaker 2: and then he's like, okay, what do I have here? 1085 00:51:16,719 --> 00:51:19,440 Speaker 2: I could either do you know, save humanity or kill 1086 00:51:19,520 --> 00:51:23,840 Speaker 2: humanity with this idea? Okay? And then you have AI, 1087 00:51:24,480 --> 00:51:26,400 Speaker 2: which is where we're at today. Again, it's in its infancy. 1088 00:51:26,400 --> 00:51:28,919 Speaker 2: It's either do we save humanity with AI or kill 1089 00:51:29,000 --> 00:51:31,680 Speaker 2: humanity with AI? Okay? So it's kind of like in 1090 00:51:31,680 --> 00:51:35,560 Speaker 2: that same kind of category, and and you know we 1091 00:51:35,680 --> 00:51:39,919 Speaker 2: just have to wield it wisely and uh the best 1092 00:51:39,920 --> 00:51:41,560 Speaker 2: stewards of what we have, right. 1093 00:51:42,160 --> 00:51:43,600 Speaker 3: I'm with it. I agree with you. 1094 00:51:43,640 --> 00:51:47,360 Speaker 4: I think that fundamentally all technologies are amoral and that 1095 00:51:47,440 --> 00:51:51,239 Speaker 4: they have the morality. They receive the morality through how 1096 00:51:51,239 --> 00:51:54,200 Speaker 4: they're used. So it's human agency that that gives them 1097 00:51:54,239 --> 00:51:56,520 Speaker 4: the morality. So I think the real answer to this 1098 00:51:56,640 --> 00:52:01,200 Speaker 4: rad is how do we educate people from day one 1099 00:52:01,320 --> 00:52:05,080 Speaker 4: through day Whenever you know how to correctly use tools, Now, 1100 00:52:05,080 --> 00:52:06,719 Speaker 4: will there be people that misuse them? 1101 00:52:07,160 --> 00:52:08,319 Speaker 3: Absolutely, that's right. 1102 00:52:08,440 --> 00:52:11,319 Speaker 4: That we will never stomp that down to zero. But 1103 00:52:11,360 --> 00:52:14,640 Speaker 4: what you can do is minimize the number of people 1104 00:52:14,640 --> 00:52:18,040 Speaker 4: who misuse things, uh, and then have an appropriate you know, 1105 00:52:18,440 --> 00:52:22,320 Speaker 4: regimen of discipline for those who do so, and hopefully 1106 00:52:22,400 --> 00:52:25,279 Speaker 4: make the punishment such that people aren't willing to do 1107 00:52:25,400 --> 00:52:27,000 Speaker 4: the crime if they can't do the time. 1108 00:52:27,120 --> 00:52:30,879 Speaker 2: Yeah for real, No really, And with that, do we've 1109 00:52:30,880 --> 00:52:32,600 Speaker 2: been talking an hour? At can't? 1110 00:52:33,000 --> 00:52:33,719 Speaker 3: It's an hour? 1111 00:52:33,960 --> 00:52:36,120 Speaker 2: It has It's been an hour. No, It's just like 1112 00:52:36,160 --> 00:52:38,160 Speaker 2: it's so there's just so much more to talk about 1113 00:52:38,200 --> 00:52:40,560 Speaker 2: with with your lane, you just know so much about it. 1114 00:52:40,560 --> 00:52:42,799 Speaker 2: You're such a subject matter expert. And I just want 1115 00:52:42,840 --> 00:52:44,880 Speaker 2: to let my guests know that are listening and watching 1116 00:52:44,960 --> 00:52:48,000 Speaker 2: that we really have a treat with having you on today, 1117 00:52:48,360 --> 00:52:50,879 Speaker 2: Mark and talking to us, and I mean, you guys 1118 00:52:50,880 --> 00:52:54,040 Speaker 2: are part of the largest drone company in the world, 1119 00:52:54,160 --> 00:52:58,640 Speaker 2: and it's just it's amazing to just know that you 1120 00:52:58,719 --> 00:53:02,799 Speaker 2: have your eyes on the world. To tell you, bro, 1121 00:53:03,320 --> 00:53:04,120 Speaker 2: it's a big job. 1122 00:53:04,760 --> 00:53:07,360 Speaker 4: We're trying to do our best and make good things happen. 1123 00:53:07,800 --> 00:53:08,879 Speaker 3: But I appreciate its time today. 1124 00:53:08,960 --> 00:53:10,160 Speaker 4: Right, No, it was a great conversation. 1125 00:53:10,239 --> 00:53:11,560 Speaker 3: I had no idea. We talked for an hour. 1126 00:53:11,920 --> 00:53:13,600 Speaker 2: Let me plug you real quick. Let me just put 1127 00:53:13,640 --> 00:53:15,080 Speaker 2: you out there, let me let me pimp it a 1128 00:53:15,120 --> 00:53:17,840 Speaker 2: little bit. Where can if one of my listeners is 1129 00:53:17,880 --> 00:53:20,440 Speaker 2: interested or works in an agency and they're like, so, 1130 00:53:20,520 --> 00:53:24,560 Speaker 2: it's skyde O, s k y d i O dot com, 1131 00:53:24,760 --> 00:53:25,560 Speaker 2: right dot com. 1132 00:53:25,640 --> 00:53:28,359 Speaker 4: Yeah, pretty easy to find there, and folks can hit 1133 00:53:28,400 --> 00:53:31,520 Speaker 4: me up on LinkedIn. I'm you know, I'm relatively busy, 1134 00:53:31,560 --> 00:53:33,719 Speaker 4: but I try to answer as much as I can 1135 00:53:33,800 --> 00:53:36,239 Speaker 4: have any answer questions. But yeah, hit us up on 1136 00:53:36,239 --> 00:53:38,400 Speaker 4: the website. We have a lot of events going on. 1137 00:53:39,160 --> 00:53:41,200 Speaker 4: We are running around the country in the world doing 1138 00:53:41,360 --> 00:53:44,480 Speaker 4: you know, flying demos, all sorts of things. Uh, you know, 1139 00:53:44,600 --> 00:53:46,719 Speaker 4: get your hands on one of the new drones and 1140 00:53:47,360 --> 00:53:50,160 Speaker 4: once you see it, it's you can't unsee. You're like, wow, 1141 00:53:50,680 --> 00:53:51,680 Speaker 4: it is pretty amazing. 1142 00:53:51,840 --> 00:53:54,240 Speaker 2: Well, wax those skis up, Bud, because. 1143 00:53:54,360 --> 00:53:56,319 Speaker 3: We're gonna do it. I'm gonna call you on this rant. 1144 00:53:56,560 --> 00:54:00,360 Speaker 2: Hey, call me, call me every day. Go ahead and 1145 00:54:00,400 --> 00:54:02,719 Speaker 2: bring your buddy, bring Adam, bring him, bring him? Does 1146 00:54:02,800 --> 00:54:07,120 Speaker 2: he right? Yeah? The do so we know he's got 1147 00:54:07,160 --> 00:54:09,279 Speaker 2: a ski. So yeah, I mean come on now, and 1148 00:54:09,360 --> 00:54:13,359 Speaker 2: Kelly to bring Kelly to She's cool too, So back 1149 00:54:13,400 --> 00:54:16,000 Speaker 2: and forth. Well, listen, I'm gonna wind down the show 1150 00:54:16,040 --> 00:54:18,279 Speaker 2: by saying thanks so much to Mark Valentine for being 1151 00:54:18,360 --> 00:54:21,600 Speaker 2: on with Skydio dot com. Uh. His former career in 1152 00:54:21,640 --> 00:54:25,400 Speaker 2: the Air Force is majestic and awesome. Colonel, you're a 1153 00:54:25,480 --> 00:54:29,200 Speaker 2: boss and we appreciate you shooting the watch and living 1154 00:54:29,200 --> 00:54:31,359 Speaker 2: to tell the tales. Okay, so thank you for coming 1155 00:54:31,400 --> 00:54:34,200 Speaker 2: home to those that are your friends that are out there. 1156 00:54:34,280 --> 00:54:36,759 Speaker 2: Thanks for saying their name on here that didn't come back, 1157 00:54:37,080 --> 00:54:39,279 Speaker 2: and again on behalf of all of us here a 1158 00:54:39,360 --> 00:54:43,920 Speaker 2: soft rep softwap dot com. Brandon Webb my producer, Anton Guy, 1159 00:54:44,080 --> 00:54:47,759 Speaker 2: my managing editor, You my listener, you that buys the 1160 00:54:47,800 --> 00:54:50,120 Speaker 2: merch from our store, that reads our books on our 1161 00:54:50,120 --> 00:54:52,560 Speaker 2: book club. Thank you so much, for listening, and with that, 1162 00:54:52,800 --> 00:54:54,240 Speaker 2: I'm gonna say peace. 1163 00:55:00,600 --> 00:55:03,000 Speaker 1: Use them listening to self red Radio