1
00:00:15,920 --> 00:00:20,439
Speaker 1: Lute 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
00:00:35,760 --> 00:00:39,360
Speaker 2: Hey, welcome back to soft rep Radio. I am your host,

5
00:00:39,560 --> 00:00:42,920
Speaker 2: Rad and I have a very cool conversation to have today.

6
00:00:42,960 --> 00:00:45,320
Speaker 2: But before I get into who my guest is, I

7
00:00:45,360 --> 00:00:48,760
Speaker 2: want to remind you to continue supporting our merch shop.

8
00:00:48,840 --> 00:00:51,680
Speaker 2: Right soft rep dot com. Check out the merch store

9
00:00:51,720 --> 00:00:54,480
Speaker 2: all the branded goods that are in there. There's coffee mugs.

10
00:00:54,520 --> 00:00:57,120
Speaker 2: It's Christmas time. Pick something up, send it to a

11
00:00:57,160 --> 00:00:59,360
Speaker 2: loved one and tell them Rad sent you right. Keep

12
00:00:59,360 --> 00:01:02,000
Speaker 2: the fireplace. And then also, you know we have that

13
00:01:02,040 --> 00:01:05,080
Speaker 2: book club. It's soft rep dot Com Forward slash book

14
00:01:05,160 --> 00:01:08,720
Speaker 2: hyphen Club. We're really pushing it. Also, join our email

15
00:01:08,760 --> 00:01:10,920
Speaker 2: list to get updates and all sorts of tips and

16
00:01:10,959 --> 00:01:13,399
Speaker 2: tricks on you know, how to stay in the know

17
00:01:13,560 --> 00:01:17,200
Speaker 2: with soft rep dot com. Now, someone reached out to

18
00:01:17,200 --> 00:01:19,200
Speaker 2: me named Lily and she's like, Rad, we need to

19
00:01:19,200 --> 00:01:21,840
Speaker 2: get Ben on and I have Ben Williams today from

20
00:01:21,959 --> 00:01:25,880
Speaker 2: Exeon Technologies, Who's going to talk to us about autonomous

21
00:01:25,959 --> 00:01:31,040
Speaker 2: drones the AI world. How you know he's using his

22
00:01:31,200 --> 00:01:35,360
Speaker 2: company's capabilities to try to solve problems like finding people

23
00:01:35,400 --> 00:01:38,680
Speaker 2: who are missing. For example, our friend Lily, that is

24
00:01:38,720 --> 00:01:42,559
Speaker 2: a mutual acquaintance. She lived in Aqua Poco. She's very

25
00:01:42,600 --> 00:01:45,040
Speaker 2: familiar with the area, and just recently, less than about

26
00:01:45,040 --> 00:01:47,720
Speaker 2: a month ago from filming this in October time frame,

27
00:01:47,920 --> 00:01:50,680
Speaker 2: they were hit with a Category four or five hurricane.

28
00:01:50,720 --> 00:01:57,000
Speaker 3: Right, Yeah, so a serious problem with you know, a

29
00:01:57,080 --> 00:02:01,440
Speaker 3: huge storm destroyed tons of infrastructure, you know, a place

30
00:02:01,480 --> 00:02:06,240
Speaker 3: where there was a large tourist base and you know

31
00:02:06,360 --> 00:02:08,360
Speaker 3: a lot of sort of varied kind of kind of

32
00:02:08,360 --> 00:02:12,760
Speaker 3: buildings and just utter destruction. Lots of stuff destroyed, and

33
00:02:12,840 --> 00:02:15,760
Speaker 3: a real problem for search and rescue crews that are

34
00:02:16,040 --> 00:02:19,280
Speaker 3: going into an area where there was some regulation around

35
00:02:19,520 --> 00:02:23,320
Speaker 3: you know, resiliency for natural disasters, but probably not as

36
00:02:23,400 --> 00:02:26,560
Speaker 3: much as might be used to in the United States,

37
00:02:26,560 --> 00:02:30,200
Speaker 3: for instance, or nor northern or western Europe, that sort

38
00:02:30,240 --> 00:02:33,000
Speaker 3: of thing. So you're in an area where it's not

39
00:02:34,000 --> 00:02:37,400
Speaker 3: you know, it's not a really really easy and established

40
00:02:37,440 --> 00:02:42,040
Speaker 3: process for search and rescue and medical response, disaster response,

41
00:02:42,040 --> 00:02:44,880
Speaker 3: et cetera. So you have a lot of folks going in.

42
00:02:44,919 --> 00:02:48,320
Speaker 3: You have international workers, you have domestic and regional workers

43
00:02:48,360 --> 00:02:50,839
Speaker 3: that are trying to come in and help, but the

44
00:02:50,880 --> 00:02:54,280
Speaker 3: infrastructure not being in place, the tools not being standardized,

45
00:02:54,680 --> 00:02:57,400
Speaker 3: so there's a lot of a lot of problems with

46
00:02:58,000 --> 00:02:59,880
Speaker 3: being able to go in and help, even if the

47
00:03:00,320 --> 00:03:02,399
Speaker 3: help is available, even if the money or the resources

48
00:03:02,400 --> 00:03:05,720
Speaker 3: are available. It's hard to operate in those kind of worlds.

49
00:03:06,080 --> 00:03:08,400
Speaker 3: And you know, of course that there's a lot of

50
00:03:08,400 --> 00:03:13,920
Speaker 3: similarities to government defense scenarios where you are operating often

51
00:03:13,960 --> 00:03:16,200
Speaker 3: in areas where you don't have the infrastructure. You have

52
00:03:16,240 --> 00:03:19,600
Speaker 3: to bring stuff along with you. Similar even to some

53
00:03:19,680 --> 00:03:21,560
Speaker 3: of the other commercial worlds that we operate in, which

54
00:03:21,600 --> 00:03:26,320
Speaker 3: are like remote industrial scenarios where you can't depend on

55
00:03:26,919 --> 00:03:32,000
Speaker 3: super high bandwidth communications, really well established GPS or COMMS networks,

56
00:03:32,320 --> 00:03:34,920
Speaker 3: you know, dependable roads, all that sort of thing. You

57
00:03:35,000 --> 00:03:36,680
Speaker 3: kind of have to be a little bit more flexible

58
00:03:36,720 --> 00:03:37,840
Speaker 3: with the environments.

59
00:03:38,160 --> 00:03:42,320
Speaker 2: So difficult with your company, right, and this is not

60
00:03:42,400 --> 00:03:44,560
Speaker 2: your first time on Software Radio, so I feel like

61
00:03:44,600 --> 00:03:46,280
Speaker 2: I have the relationship with you. Just to give you

62
00:03:46,280 --> 00:03:48,320
Speaker 2: a little background to my listener who may not have

63
00:03:48,360 --> 00:03:52,800
Speaker 2: saw our previous episode, you know your former Navy service warfare.

64
00:03:52,920 --> 00:03:55,240
Speaker 2: Tell us a little bit about your Navy background.

65
00:03:55,880 --> 00:04:00,000
Speaker 3: Sure, so I was what's called a service warfare officer,

66
00:04:00,120 --> 00:04:04,040
Speaker 3: which is an unrestricted line role. I was on a

67
00:04:04,080 --> 00:04:07,840
Speaker 3: surface ship cruiser at Bunker Hill for my first tour,

68
00:04:08,080 --> 00:04:11,560
Speaker 3: and this was just just post nine to eleven. So

69
00:04:11,680 --> 00:04:14,440
Speaker 3: as part of the all the work that went into

70
00:04:15,040 --> 00:04:18,839
Speaker 3: going into a Rock that time around, ran small boat teams,

71
00:04:18,920 --> 00:04:22,760
Speaker 3: ran communications division, and a bunch of battle group stuff

72
00:04:22,760 --> 00:04:25,680
Speaker 3: there as well. Then followed on with nuke school and

73
00:04:25,800 --> 00:04:28,840
Speaker 3: running the a portion of the reactor plant on an

74
00:04:28,839 --> 00:04:30,560
Speaker 3: aircraft carrier after that.

75
00:04:30,720 --> 00:04:32,960
Speaker 2: So, no, kid, you were the guy. You were Scottie

76
00:04:32,960 --> 00:04:37,440
Speaker 2: in the engines. You were like, giving her he's got everything.

77
00:04:38,000 --> 00:04:41,159
Speaker 2: No kid, I mean, like, I know I've talked to you,

78
00:04:41,200 --> 00:04:44,159
Speaker 2: but that's pretty cool to rethink about that. You are like,

79
00:04:44,240 --> 00:04:45,880
Speaker 2: I'm giving her else it's got. It's like, you know,

80
00:04:46,240 --> 00:04:52,200
Speaker 2: not stern fall. You're like, sir, it's nuclear. It's it

81
00:04:52,279 --> 00:04:56,120
Speaker 2: a core is that, yeah, as it flooded with water

82
00:04:56,200 --> 00:04:58,160
Speaker 2: and all that to keep it all probably top secret class.

83
00:04:58,240 --> 00:05:01,359
Speaker 3: Yeah, well, I mean that's that's part of the nuclei plant,

84
00:05:01,400 --> 00:05:04,200
Speaker 3: is that you have water that sort of cools the reactor.

85
00:05:04,600 --> 00:05:07,039
Speaker 3: And you know, there's actually an interesting parallel here is

86
00:05:07,040 --> 00:05:11,159
Speaker 3: that when I was on on my second deployment with

87
00:05:11,640 --> 00:05:15,280
Speaker 3: the aircraft carrier, we actually did a disaster response, I

88
00:05:15,320 --> 00:05:18,480
Speaker 3: think it was for Hurricane Katrina, and so we were

89
00:05:18,520 --> 00:05:23,160
Speaker 3: anchored not far off of the coast in the Gulf

90
00:05:23,200 --> 00:05:26,159
Speaker 3: of Mexico, and all of the cooling water that comes

91
00:05:26,200 --> 00:05:29,000
Speaker 3: into the plant to cool down the reactor and you know,

92
00:05:29,080 --> 00:05:34,080
Speaker 3: keep all the equipment running kept getting clobbed with debris

93
00:05:34,200 --> 00:05:36,480
Speaker 3: that was coming down the river from all the wreckage

94
00:05:36,560 --> 00:05:38,719
Speaker 3: and the floods, and so we had to sort of

95
00:05:38,720 --> 00:05:43,160
Speaker 3: continuously shut down parts of the those water intakes, clear

96
00:05:43,279 --> 00:05:47,880
Speaker 3: the debris, and then restart those systems. And you know,

97
00:05:48,040 --> 00:05:50,560
Speaker 3: for an aircraft carrier used to operating out in the

98
00:05:50,600 --> 00:05:53,679
Speaker 3: middle of the ocean, you know, in thousands of feet

99
00:05:53,720 --> 00:05:56,120
Speaker 3: of water, not usually a problem. And so it was

100
00:05:56,160 --> 00:05:58,680
Speaker 3: a really interesting transition where we were flying you know,

101
00:05:58,800 --> 00:06:03,720
Speaker 3: twenty four to seven flights helicopters into do resupply and

102
00:06:03,760 --> 00:06:06,360
Speaker 3: you drop fresh water and food and you know, bring

103
00:06:06,400 --> 00:06:07,040
Speaker 3: medics and all.

104
00:06:06,960 --> 00:06:08,640
Speaker 2: That kind of stuff into the districts and the wars

105
00:06:08,640 --> 00:06:10,800
Speaker 2: of like nar Orleans and everything where it was just

106
00:06:10,880 --> 00:06:14,080
Speaker 2: like completely the levees broke. You know, that was a

107
00:06:14,200 --> 00:06:17,960
Speaker 2: huge disaster, right and ye Yeah, that's crazy, and you

108
00:06:18,000 --> 00:06:19,919
Speaker 2: were just right. You were involved in that, you know,

109
00:06:20,040 --> 00:06:23,320
Speaker 2: a humanitarian effort from the Navy, right, and here we

110
00:06:23,360 --> 00:06:26,560
Speaker 2: are talking about more humanitarian efforts. I mean you're autonomous, right,

111
00:06:26,640 --> 00:06:29,159
Speaker 2: so you can literally back then, if you had autonomous

112
00:06:29,360 --> 00:06:32,800
Speaker 2: capabilities like you do today. Now you can go into Acapulco,

113
00:06:32,960 --> 00:06:34,960
Speaker 2: or you can map out the area right and try.

114
00:06:34,800 --> 00:06:39,480
Speaker 3: To see Yeah, I mean so this is a great example, right,

115
00:06:39,640 --> 00:06:42,360
Speaker 3: is like if you're going in fresh to a disaster zone,

116
00:06:42,920 --> 00:06:46,920
Speaker 3: you might have the old map of the downtown or

117
00:06:47,000 --> 00:06:50,160
Speaker 3: you know of a facility like a resort or something

118
00:06:50,200 --> 00:06:52,159
Speaker 3: like that, Right, so you go, I know what it

119
00:06:52,279 --> 00:06:54,680
Speaker 3: used to look like. But the only thing I know

120
00:06:54,760 --> 00:06:56,960
Speaker 3: for sure is that it doesn't look like that now

121
00:06:57,200 --> 00:07:00,560
Speaker 3: because you know, things have collapsed. There's roads that might

122
00:07:00,600 --> 00:07:03,159
Speaker 3: not be passable. You don't know if any of the

123
00:07:03,240 --> 00:07:05,640
Speaker 3: running water is still in play, or if it's still

124
00:07:05,720 --> 00:07:08,800
Speaker 3: running but it's you know, contaminated water now, or is

125
00:07:08,880 --> 00:07:12,040
Speaker 3: power still going in Are we able to receive any

126
00:07:12,760 --> 00:07:17,239
Speaker 3: radio or telephone or you know, are there cell networks

127
00:07:17,280 --> 00:07:19,720
Speaker 3: that are still in play or has power knocked all

128
00:07:19,720 --> 00:07:20,400
Speaker 3: those out as well?

129
00:07:20,600 --> 00:07:22,640
Speaker 2: Is the major pole still standing? You know that we

130
00:07:22,680 --> 00:07:24,520
Speaker 2: need to look at that has everything on it, So

131
00:07:24,560 --> 00:07:26,480
Speaker 2: you can just get in there and just look and say, okay,

132
00:07:26,520 --> 00:07:29,280
Speaker 2: that's up. Well, then where's the plug unplugged that and

133
00:07:29,320 --> 00:07:31,400
Speaker 2: try to figure the situation out.

134
00:07:31,760 --> 00:07:35,360
Speaker 3: And so in these context like that, first sort of

135
00:07:35,360 --> 00:07:38,040
Speaker 3: look at what the what the situation is on the

136
00:07:38,040 --> 00:07:41,280
Speaker 3: ground is so important because that impacts all of your

137
00:07:41,320 --> 00:07:44,600
Speaker 3: planning going forward. Right, you can't deploy fresh water or

138
00:07:44,680 --> 00:07:47,600
Speaker 3: doctors or rescuers or anything unless you get some sense

139
00:07:47,640 --> 00:07:50,200
Speaker 3: of what's going on. So in this context, if you

140
00:07:50,200 --> 00:07:53,400
Speaker 3: have autonomous systems that you can just deploy and say,

141
00:07:53,480 --> 00:07:56,600
Speaker 3: go map whatever you can find, give me the structural

142
00:07:56,600 --> 00:08:00,680
Speaker 3: model from widar and the visual and infrared cameras that

143
00:08:00,720 --> 00:08:02,720
Speaker 3: are on there, you can come back and you say,

144
00:08:02,760 --> 00:08:06,120
Speaker 3: all right, my best guess is you know, Road X

145
00:08:06,520 --> 00:08:08,880
Speaker 3: is clear enough that we can get rescue vehicles in,

146
00:08:09,360 --> 00:08:11,440
Speaker 3: but there's a rubble where there used to be these

147
00:08:11,480 --> 00:08:15,520
Speaker 3: three buildings. We're getting some heat signatures, so maybe there

148
00:08:15,520 --> 00:08:18,680
Speaker 3: are survivors in this area. You know, focus your efforts

149
00:08:18,720 --> 00:08:21,720
Speaker 3: in this area first, and then as a result of

150
00:08:21,760 --> 00:08:23,600
Speaker 3: that you get a good sense for how to operate.

151
00:08:24,160 --> 00:08:29,040
Speaker 2: How does the Mexican government, you know, risk you know,

152
00:08:29,280 --> 00:08:31,440
Speaker 2: take like they invite you in come take care of this.

153
00:08:31,680 --> 00:08:34,200
Speaker 2: Is this like something that well are they okay with

154
00:08:34,240 --> 00:08:35,720
Speaker 2: flying drones in their hood?

155
00:08:36,640 --> 00:08:39,280
Speaker 3: I mean it's a good question, right, Like every every

156
00:08:39,280 --> 00:08:42,640
Speaker 3: place is different. So even within the US, it gets

157
00:08:42,640 --> 00:08:46,960
Speaker 3: a little complicated because you have overlapping you know, fiefdoms

158
00:08:46,960 --> 00:08:49,840
Speaker 3: in a sense. Right, you have each state that can

159
00:08:50,160 --> 00:08:54,000
Speaker 3: basically get access to federal resources if they declare a

160
00:08:54,040 --> 00:08:56,920
Speaker 3: disaster and then they get access to federal funding that

161
00:08:57,000 --> 00:09:00,840
Speaker 3: sort of set aside for it. You have FEMA, right

162
00:09:00,880 --> 00:09:03,760
Speaker 3: that is, will come in, but only if they're asked, right,

163
00:09:03,800 --> 00:09:05,440
Speaker 3: They don't just sort of drop in no matter what.

164
00:09:05,920 --> 00:09:09,040
Speaker 3: So local law enforcement, local disaster response has the first

165
00:09:09,040 --> 00:09:12,720
Speaker 3: sort of coverage. And the further we get from the US,

166
00:09:12,760 --> 00:09:16,840
Speaker 3: the more difficult it is to know that you're operating,

167
00:09:17,120 --> 00:09:19,720
Speaker 3: you know, with the right folks. So, you know, Mexico,

168
00:09:19,720 --> 00:09:21,920
Speaker 3: there's a lot of familiarity. We do a lot of

169
00:09:22,000 --> 00:09:25,160
Speaker 3: joint work as a country with Mexico. Obviously it's you know,

170
00:09:25,160 --> 00:09:28,520
Speaker 3: in neighborho south, so it's a little bit clearer there,

171
00:09:28,559 --> 00:09:31,360
Speaker 3: but it's still a lot of figuring out how to

172
00:09:31,440 --> 00:09:34,440
Speaker 3: coordinate successfully. Right, Plus there's a language theyer. You know,

173
00:09:35,400 --> 00:09:39,000
Speaker 3: Spanish their primary language, English primary language here, lots of overlap,

174
00:09:39,160 --> 00:09:43,160
Speaker 3: but still there's the challenges in how do you coordinate successfully?

175
00:09:43,600 --> 00:09:45,720
Speaker 3: And so in a lot of cases, what you have

176
00:09:46,000 --> 00:09:48,600
Speaker 3: is you get in there and then you get you know,

177
00:09:48,840 --> 00:09:52,320
Speaker 3: equipment and money and resources in play, and then it's

178
00:09:52,559 --> 00:09:56,600
Speaker 3: trying to figure out who does what first and coordinating it.

179
00:09:56,960 --> 00:10:01,200
Speaker 3: So getting information is so much more more important than

180
00:10:01,400 --> 00:10:04,000
Speaker 3: getting like material in the early steps of.

181
00:10:03,960 --> 00:10:06,520
Speaker 2: That, right, it's almost like, you know, the cart before

182
00:10:06,559 --> 00:10:09,120
Speaker 2: the horse. You know, everybody wants to go in with

183
00:10:09,240 --> 00:10:10,760
Speaker 2: the brick and mortar, but it's like, what are you

184
00:10:10,840 --> 00:10:13,720
Speaker 2: going in with brick and mortar for? Right, So it's

185
00:10:13,760 --> 00:10:15,760
Speaker 2: like having all that stuff, but you't you might not

186
00:10:15,840 --> 00:10:17,160
Speaker 2: need it all. You just need to get in there

187
00:10:17,160 --> 00:10:19,760
Speaker 2: and maybe move the trees and there's the building that

188
00:10:19,760 --> 00:10:22,000
Speaker 2: the trees have fallen in front of, versus rebuilding. I

189
00:10:22,679 --> 00:10:25,760
Speaker 2: totally am all for, you know, using it in a healthy,

190
00:10:25,880 --> 00:10:28,960
Speaker 2: you know, manageable way. I also know that what we're

191
00:10:28,960 --> 00:10:33,120
Speaker 2: talking about can be possibly taken and you know, turned

192
00:10:33,360 --> 00:10:34,280
Speaker 2: into opposite.

193
00:10:34,320 --> 00:10:34,480
Speaker 3: Right.

194
00:10:34,520 --> 00:10:37,360
Speaker 2: I've seen terminator now, right, even though I'm forty six,

195
00:10:37,400 --> 00:10:39,400
Speaker 2: I saw it this year for the first of the

196
00:10:39,480 --> 00:10:42,160
Speaker 2: Terminator one with my wife and my kids because I

197
00:10:42,160 --> 00:10:44,800
Speaker 2: grew up in the eighties wanting Rambo more than Schwarzenegger.

198
00:10:44,840 --> 00:10:47,160
Speaker 2: No offense, right, Okay, if either of them want to

199
00:10:47,160 --> 00:10:50,480
Speaker 2: come on the show, let me know. But I finally

200
00:10:50,480 --> 00:10:52,040
Speaker 2: saw a Terminator and I'm like, yeah, you know, you're

201
00:10:52,040 --> 00:10:56,640
Speaker 2: only as good as the people who program them. Okay,

202
00:10:56,720 --> 00:11:01,800
Speaker 2: John Conner, Right, So are you John? Are you creating

203
00:11:01,840 --> 00:11:03,960
Speaker 2: sky neet? Are you not creating sky net?

204
00:11:04,360 --> 00:11:04,400
Speaker 3: What?

205
00:11:04,559 --> 00:11:06,680
Speaker 2: What is your role in the world here? Can we

206
00:11:06,720 --> 00:11:09,319
Speaker 2: hear just straight from you because you're the COO, right.

207
00:11:09,400 --> 00:11:11,920
Speaker 3: That's right? Yeah. So, I mean we've we've actually focused

208
00:11:12,000 --> 00:11:15,360
Speaker 3: very explicitly on a mode of autonomy here that is

209
00:11:15,400 --> 00:11:19,679
Speaker 3: focused on self contained elements. So we're not trying to

210
00:11:19,840 --> 00:11:23,679
Speaker 3: sort of broadly network and deploy you know, a an

211
00:11:23,920 --> 00:11:28,079
Speaker 3: entire sort of net of independent ais here. But these

212
00:11:28,080 --> 00:11:32,720
Speaker 3: are these are dedicated individual units that are specifically focused

213
00:11:32,800 --> 00:11:38,520
Speaker 3: on doing exploration or doing information gathering. So we are

214
00:11:38,559 --> 00:11:42,200
Speaker 3: not in the business of, for instance, delivering kinetics. We

215
00:11:42,280 --> 00:11:44,600
Speaker 3: don't do that work even with the d D. We

216
00:11:44,640 --> 00:11:48,520
Speaker 3: focus on on information gathering and trying to remove people

217
00:11:48,559 --> 00:11:51,760
Speaker 3: from difficult or dangerous environments. That's sort of our charter

218
00:11:51,840 --> 00:11:54,080
Speaker 3: as a company, and so all of our work is

219
00:11:54,080 --> 00:11:56,960
Speaker 3: focused around that same kind of thing. Whether it's uh,

220
00:11:57,120 --> 00:12:02,160
Speaker 3: you know, civil defense, commercial, industrial, you know, search and rescue,

221
00:12:02,360 --> 00:12:04,640
Speaker 3: all of these things revolve around the same basic idea,

222
00:12:04,679 --> 00:12:07,560
Speaker 3: which is get as much information as quickly as possible,

223
00:12:07,960 --> 00:12:10,160
Speaker 3: make sure that you have the right knowledge before you

224
00:12:10,200 --> 00:12:11,280
Speaker 3: put people in harm's way.

225
00:12:11,679 --> 00:12:13,839
Speaker 2: That's right, recon. I got a friend who's about twenty

226
00:12:13,840 --> 00:12:16,000
Speaker 2: some years old. He's going through the academy at US

227
00:12:16,040 --> 00:12:18,000
Speaker 2: Air Force for a pilot, and he's I was like,

228
00:12:18,000 --> 00:12:19,760
Speaker 2: oh sweet, what are you gonna fly? He's like drones.

229
00:12:20,600 --> 00:12:23,079
Speaker 2: I was like, of course, it's like, of course, not

230
00:12:23,160 --> 00:12:25,959
Speaker 2: the A ten, you know, not they have thirty five,

231
00:12:26,160 --> 00:12:29,080
Speaker 2: any of the configurations, but the drones okay. And I

232
00:12:29,160 --> 00:12:31,280
Speaker 2: was like, of course, you know, in a flight suit,

233
00:12:31,720 --> 00:12:36,160
Speaker 2: flight gloves, okay, sitting there with a big gulp, all right,

234
00:12:37,559 --> 00:12:39,679
Speaker 2: he can literally take a leak. He can get up

235
00:12:39,800 --> 00:12:41,320
Speaker 2: and go probably take a leak, and soone could take

236
00:12:41,360 --> 00:12:42,960
Speaker 2: over the controls for him. You can't do that in

237
00:12:43,040 --> 00:12:45,920
Speaker 2: a real aircraft. You know, all these things that you

238
00:12:45,960 --> 00:12:51,040
Speaker 2: know are the smallest detail that matters on a mission.

239
00:12:51,960 --> 00:12:55,320
Speaker 2: Whether you're doing recovery or you know, a defense of

240
00:12:55,320 --> 00:12:57,160
Speaker 2: your nation, or whatever the case may be. With it,

241
00:12:57,480 --> 00:13:00,720
Speaker 2: a pilot has to fly that it's right, right, and

242
00:13:00,760 --> 00:13:03,520
Speaker 2: I call that snow piercer. That human element always has

243
00:13:03,559 --> 00:13:06,120
Speaker 2: to be involved with the machine, right. And here we are.

244
00:13:07,000 --> 00:13:10,440
Speaker 2: You're creating something autonomous that has human element where it's

245
00:13:10,480 --> 00:13:13,840
Speaker 2: programmed right. And for my listener and correct me if

246
00:13:13,840 --> 00:13:17,000
Speaker 2: I'm wrong. Autonomous is like a boomerang. I could send

247
00:13:17,000 --> 00:13:19,280
Speaker 2: it out there with its coordinates, and then I could

248
00:13:19,320 --> 00:13:21,760
Speaker 2: coordinate it to do its job, which is map for

249
00:13:21,880 --> 00:13:24,200
Speaker 2: twenty four hours, and then it comes back home to

250
00:13:24,320 --> 00:13:26,520
Speaker 2: me with all the information.

251
00:13:27,160 --> 00:13:29,920
Speaker 3: In general, that's exactly right. So what we focus on

252
00:13:30,200 --> 00:13:33,960
Speaker 3: is the implementation of what we call level four autonomy,

253
00:13:34,000 --> 00:13:37,280
Speaker 3: which is you do not have to do the sort

254
00:13:37,280 --> 00:13:39,800
Speaker 3: of minutia of mission planning. Instead, you give it a

255
00:13:39,920 --> 00:13:43,880
Speaker 3: high level mission objective. You say, within this bounding box,

256
00:13:44,320 --> 00:13:47,200
Speaker 3: explore whatever you can come back with the best information

257
00:13:47,320 --> 00:13:50,600
Speaker 3: model you can find, and then you know it will

258
00:13:50,640 --> 00:13:54,240
Speaker 3: decide its own safe fight corridors. It will avoid people

259
00:13:54,280 --> 00:13:58,360
Speaker 3: and objects and wires and rebar and whatever, find its

260
00:13:58,400 --> 00:14:00,640
Speaker 3: way back home. And then you get all this information

261
00:14:01,000 --> 00:14:02,559
Speaker 3: to make better decisions.

262
00:14:02,120 --> 00:14:05,760
Speaker 2: With my goodness, it's just going to be like a

263
00:14:05,760 --> 00:14:08,480
Speaker 2: little hummingbird that's just like moving around all these little

264
00:14:08,480 --> 00:14:10,680
Speaker 2: things around like, oh, rebar, I don't want that, gotta

265
00:14:10,720 --> 00:14:12,800
Speaker 2: go over this. It's just going to be like at

266
00:14:12,800 --> 00:14:15,040
Speaker 2: the same time mapping, Oh, the rebar is right there

267
00:14:15,080 --> 00:14:18,200
Speaker 2: and exactly all the information right. And so there's there's

268
00:14:18,280 --> 00:14:21,040
Speaker 2: there's some cool sensors out there that help find people

269
00:14:21,320 --> 00:14:23,960
Speaker 2: that are like in minds that are collapsed and whatnot

270
00:14:24,160 --> 00:14:26,800
Speaker 2: is I mean, I can only imagine setting it like

271
00:14:26,840 --> 00:14:29,120
Speaker 2: a drone into a mine, you know, in this day

272
00:14:29,120 --> 00:14:30,760
Speaker 2: and age, to be able to see if they could

273
00:14:30,760 --> 00:14:34,280
Speaker 2: get through, you know, to see what's going on. I

274
00:14:34,320 --> 00:14:35,760
Speaker 2: don't know, man, that's so crazy.

275
00:14:35,840 --> 00:14:38,480
Speaker 3: Yeah, I mean, we've been used. I'm not allowed to

276
00:14:38,520 --> 00:14:43,840
Speaker 3: share the exact location, but we we participated in a

277
00:14:44,040 --> 00:14:48,520
Speaker 3: mind collapse emergency reaction where we overnighted a system to

278
00:14:48,560 --> 00:14:51,360
Speaker 3: another continent. We got on the phone for thirty minutes

279
00:14:51,400 --> 00:14:53,120
Speaker 3: and just gave them quick training and then they went

280
00:14:53,200 --> 00:14:56,040
Speaker 3: underground and they explored a whole section of the mine

281
00:14:56,040 --> 00:14:59,680
Speaker 3: where a tunnel had collapsed down into the next level

282
00:14:59,720 --> 00:15:03,480
Speaker 3: down and very dangerous environment. You know, they were they

283
00:15:03,480 --> 00:15:06,800
Speaker 3: were worried about making any progress towards it. It would

284
00:15:06,800 --> 00:15:09,720
Speaker 3: have taken probably a week or two sort of progress

285
00:15:09,800 --> 00:15:12,400
Speaker 3: into the area that had collapsed. But with these kind

286
00:15:12,400 --> 00:15:15,040
Speaker 3: of systems, they did one sort of test flight up

287
00:15:15,120 --> 00:15:18,440
Speaker 3: to the area and then one exploration volume and within

288
00:15:18,440 --> 00:15:20,840
Speaker 3: an hour they had a full model of the whole

289
00:15:20,920 --> 00:15:24,200
Speaker 3: collapsed area. So they saved you know, probably a week

290
00:15:24,280 --> 00:15:26,880
Speaker 3: or two of time trying to access that.

291
00:15:26,920 --> 00:15:30,080
Speaker 2: Environment and also lives. You know, you're you're not risking

292
00:15:30,400 --> 00:15:32,800
Speaker 2: someone happened to low crawl into there to try to

293
00:15:32,920 --> 00:15:36,280
Speaker 2: like you're although there was nothing that could quite replace

294
00:15:36,320 --> 00:15:38,880
Speaker 2: the human touch and feel of something, right, of course,

295
00:15:39,400 --> 00:15:42,160
Speaker 2: but I think that you're ninety nine percent the next

296
00:15:42,320 --> 00:15:43,120
Speaker 2: best bet.

297
00:15:43,320 --> 00:15:46,240
Speaker 3: Right, Yeah. And it makes people more effective too, right

298
00:15:46,600 --> 00:15:49,040
Speaker 3: if they if they're going into an area, better to

299
00:15:49,080 --> 00:15:50,840
Speaker 3: have at least a sense for what's going on, you know,

300
00:15:50,920 --> 00:15:55,720
Speaker 3: know the areas that are definitely dangerous and almost definitely safe,

301
00:15:55,760 --> 00:15:58,080
Speaker 3: so that you can kind of weigh the differences between everything.

302
00:15:58,080 --> 00:16:00,280
Speaker 2: It's basically armor. Rightly, you have a night and shining

303
00:16:00,360 --> 00:16:02,200
Speaker 2: armor who goes into battle and he still has all

304
00:16:02,240 --> 00:16:06,040
Speaker 2: these open areas to be stabbed, but he feels like

305
00:16:06,120 --> 00:16:08,160
Speaker 2: he's going to do it all okay, And so that's

306
00:16:08,240 --> 00:16:10,240
Speaker 2: kind of what the drone gives its operator and its

307
00:16:10,280 --> 00:16:13,160
Speaker 2: team is like, here's your armor on. Feel free to

308
00:16:13,200 --> 00:16:15,240
Speaker 2: go ahead and be value and go ahead with the drone,

309
00:16:15,520 --> 00:16:17,760
Speaker 2: and then you can follow in behind it, you know,

310
00:16:18,760 --> 00:16:21,280
Speaker 2: to take care of him. D It's like it's armor. Yeah,

311
00:16:21,280 --> 00:16:25,360
Speaker 2: it's like mental armor, like an EOD robot for the

312
00:16:25,440 --> 00:16:27,600
Speaker 2: robot guy. You know, he's like, hey, I got a robot.

313
00:16:27,640 --> 00:16:30,320
Speaker 2: I'm going to look inside this room real quick. I mean, well,

314
00:16:30,480 --> 00:16:34,400
Speaker 2: knowledge is safety in this context, right, And you know,

315
00:16:34,480 --> 00:16:36,760
Speaker 2: I'm not saying that robots are going to fight the wars,

316
00:16:36,840 --> 00:16:40,320
Speaker 2: but I think the current president did say he's not

317
00:16:40,400 --> 00:16:44,360
Speaker 2: afraid of a gunshot starting a war. It's a keystroke, yeah,

318
00:16:44,960 --> 00:16:49,680
Speaker 2: you know, you know he's like, that's ah, if everybody

319
00:16:49,680 --> 00:16:50,920
Speaker 2: sit behind these keystrokes.

320
00:16:51,800 --> 00:16:54,640
Speaker 3: Yeah. Well, and I mean that that is like, you know,

321
00:16:54,720 --> 00:16:58,800
Speaker 3: in the grand scheme of robotics in sort of conflict

322
00:16:58,920 --> 00:17:01,560
Speaker 3: like that is that is a critical element that you know,

323
00:17:01,680 --> 00:17:03,160
Speaker 3: all of the countries in the world are going to

324
00:17:03,240 --> 00:17:06,199
Speaker 3: have to really figure out how they want to interact there, right,

325
00:17:06,240 --> 00:17:09,439
Speaker 3: because it's one layer removed. When you don't have people

326
00:17:09,640 --> 00:17:13,960
Speaker 3: interacting directly, you reduce that sort of empathic response of like,

327
00:17:14,000 --> 00:17:16,920
Speaker 3: this is a person right that I'm going against, versus

328
00:17:17,200 --> 00:17:19,040
Speaker 3: I see a thing on a screen, and that's like

329
00:17:19,119 --> 00:17:21,320
Speaker 3: layers removed from the impact.

330
00:17:21,600 --> 00:17:23,560
Speaker 2: Like let's think about like I think it's World War one,

331
00:17:23,680 --> 00:17:26,840
Speaker 2: World War two. You know, they had a quiet Christmas

332
00:17:27,560 --> 00:17:29,719
Speaker 2: in the trenches because they all were like singing to

333
00:17:29,760 --> 00:17:32,479
Speaker 2: each other because they all had moms and dads at

334
00:17:32,480 --> 00:17:34,879
Speaker 2: some point in their life that love them and taught

335
00:17:34,880 --> 00:17:37,120
Speaker 2: them how to love Christmas and love each other. And

336
00:17:37,240 --> 00:17:40,119
Speaker 2: here they are fight each other. I don't see you know,

337
00:17:40,480 --> 00:17:43,639
Speaker 2: T one thousand and T two thousand singing in harmony together.

338
00:17:43,960 --> 00:17:46,719
Speaker 2: It's just going to be complete, like wasteland of like

339
00:17:46,840 --> 00:17:49,840
Speaker 2: you know, until one is gone. And then you wanted

340
00:17:49,880 --> 00:17:53,880
Speaker 2: me to build a perfect world, right, yeah, get them

341
00:17:53,920 --> 00:17:57,120
Speaker 2: trying get them. You're like, wait, but I'm the creator.

342
00:18:00,040 --> 00:18:01,560
Speaker 2: I don't know if you get my references, but I

343
00:18:01,560 --> 00:18:01,919
Speaker 2: hope so.

344
00:18:03,040 --> 00:18:05,639
Speaker 3: Yeah, no, I watched both of those, Oh.

345
00:18:05,560 --> 00:18:10,359
Speaker 2: Man, you know so true though it's like, hey, you

346
00:18:10,480 --> 00:18:13,640
Speaker 2: made me right, yeah, to be the best, right, it's

347
00:18:13,640 --> 00:18:15,960
Speaker 2: gonna have to get you out of the way now though,

348
00:18:16,560 --> 00:18:24,240
Speaker 2: right right? Sorry, holy cal so with with Exian technologies,

349
00:18:24,520 --> 00:18:27,800
Speaker 2: you know, is that something that you would Is there

350
00:18:27,800 --> 00:18:30,880
Speaker 2: a consumer market for that, like a regular consumer versus

351
00:18:30,920 --> 00:18:33,680
Speaker 2: just like such a we need it for search and rescue.

352
00:18:33,720 --> 00:18:35,920
Speaker 2: Is there something that's going to be you know, applicable

353
00:18:35,960 --> 00:18:38,119
Speaker 2: to the daily lives of us here is just regular

354
00:18:38,160 --> 00:18:39,719
Speaker 2: civilians without it or with it?

355
00:18:40,080 --> 00:18:43,160
Speaker 3: Probably not in the short run. I mean, our systems

356
00:18:43,160 --> 00:18:47,080
Speaker 3: are more sort of industrial scale, industrial usage, right they're not.

357
00:18:47,440 --> 00:18:49,080
Speaker 3: I mean, you can buy them, I guess in theory

358
00:18:49,119 --> 00:18:51,720
Speaker 3: as a consumer, but most people don't have you know,

359
00:18:51,800 --> 00:18:55,160
Speaker 3: one hundred thousand dollars laying around to make those purchases.

360
00:18:55,760 --> 00:18:59,800
Speaker 3: And so most of the time we are useful for

361
00:19:00,160 --> 00:19:05,200
Speaker 3: industrial scale enterprises that see huge value from increased speed

362
00:19:05,200 --> 00:19:08,920
Speaker 3: to decision making, removing people from dangerous environments, and being

363
00:19:08,960 --> 00:19:12,520
Speaker 3: able to digitize the sort of physical industry. And so

364
00:19:13,560 --> 00:19:16,240
Speaker 3: consumer side really isn't isn't an area we've put any

365
00:19:16,240 --> 00:19:19,359
Speaker 3: time or effort into As a result of that, In theory,

366
00:19:19,640 --> 00:19:22,600
Speaker 3: you probably could. I mean, you see folks like Skidio

367
00:19:22,680 --> 00:19:24,320
Speaker 3: that gave that a run and then sort of gave

368
00:19:24,320 --> 00:19:26,679
Speaker 3: it up recently. You know, they focused instead on purely

369
00:19:26,800 --> 00:19:31,080
Speaker 3: enterprise and defense, and that probably is because there's not

370
00:19:31,280 --> 00:19:34,560
Speaker 3: enough demand in the market. Plus paired with the fact

371
00:19:34,600 --> 00:19:38,840
Speaker 3: that djip has just been building very high quality products.

372
00:19:38,480 --> 00:19:40,840
Speaker 2: Which they have, which they have, and they have and

373
00:19:40,840 --> 00:19:42,520
Speaker 2: they have, and they've been doing it for a while now,

374
00:19:42,560 --> 00:19:44,359
Speaker 2: so they have like a little skin in the game.

375
00:19:44,480 --> 00:19:48,119
Speaker 2: And you know, I'm still waiting for this thing that

376
00:19:48,160 --> 00:19:51,040
Speaker 2: was supposed to come out during the covid TikTok social

377
00:19:51,080 --> 00:19:53,200
Speaker 2: media thing. It's like buy it now where you hook

378
00:19:53,200 --> 00:19:57,160
Speaker 2: it onto your arm and then it follows you while

379
00:19:57,160 --> 00:20:01,240
Speaker 2: you snowboard, right, any type of those like say you're

380
00:20:01,359 --> 00:20:03,119
Speaker 2: rock climbing, right, and it's just like going to go

381
00:20:03,200 --> 00:20:05,960
Speaker 2: up with you or repelling whatever whatever. It just is

382
00:20:06,000 --> 00:20:09,840
Speaker 2: like a pet above you, following you. Right, Yep, I

383
00:20:09,880 --> 00:20:15,240
Speaker 2: want one. Don't remember what it is, but you know,

384
00:20:15,640 --> 00:20:17,480
Speaker 2: that's what I was thinking. Maybe there's something in the

385
00:20:17,520 --> 00:20:19,800
Speaker 2: consumer market, you know, for that type of a thing.

386
00:20:19,880 --> 00:20:25,280
Speaker 2: But yeah, you know, Holy County, it's a huge industry

387
00:20:25,520 --> 00:20:26,840
Speaker 2: now that I think about it.

388
00:20:26,760 --> 00:20:29,800
Speaker 3: Yeah, yeah, it is well, And I think what you're

389
00:20:29,800 --> 00:20:33,480
Speaker 3: going to see is more and more of the physical

390
00:20:33,520 --> 00:20:37,440
Speaker 3: industries adopting elements here, right, Like we got our start

391
00:20:37,480 --> 00:20:39,840
Speaker 3: in the drone space, but we do ground robotics as well,

392
00:20:40,119 --> 00:20:43,680
Speaker 3: and we see a large uptick in you know, factory

393
00:20:43,760 --> 00:20:49,480
Speaker 3: floors and manufacturing and logistics and warehousing, all of these

394
00:20:49,560 --> 00:20:52,560
Speaker 3: areas where you know there's a there's a viable business

395
00:20:52,640 --> 00:20:55,360
Speaker 3: running there, but it's a physical business, right and it's

396
00:20:55,440 --> 00:20:59,440
Speaker 3: hard to get digital information about even things that you own,

397
00:20:59,640 --> 00:21:03,400
Speaker 3: like you're warehouses, still hard to digitize. And so as

398
00:21:03,440 --> 00:21:07,080
Speaker 3: you get better and better at automating and making autonomous

399
00:21:07,119 --> 00:21:09,840
Speaker 3: the systems that gather that data, all of a sudden

400
00:21:09,920 --> 00:21:13,639
Speaker 3: it goes from being an expensive one off to something

401
00:21:13,640 --> 00:21:17,560
Speaker 3: where you have a couple dozen robots gathering information all

402
00:21:17,600 --> 00:21:19,840
Speaker 3: the time, and all of a sudden, you've got a full,

403
00:21:20,119 --> 00:21:24,480
Speaker 3: up to date digital representation of your whole physical built environment.

404
00:21:24,800 --> 00:21:27,080
Speaker 3: And that changes the game in terms of the decisions

405
00:21:27,080 --> 00:21:30,680
Speaker 3: you can make, the tools you use, and even how

406
00:21:30,720 --> 00:21:32,960
Speaker 3: you staff that place. Like it makes you so much

407
00:21:32,960 --> 00:21:35,679
Speaker 3: more efficient. You probably don't have any less people, but

408
00:21:35,720 --> 00:21:38,200
Speaker 3: they're much more productive as individuals.

409
00:21:40,200 --> 00:21:42,440
Speaker 2: And maybe someone doesn't have to do that dangerous aspect

410
00:21:43,440 --> 00:21:45,600
Speaker 2: of the situation anymore because you figured out a way

411
00:21:45,640 --> 00:21:47,560
Speaker 2: to do it without it. But they're still like overseeing

412
00:21:47,560 --> 00:21:50,320
Speaker 2: the project. They haven't lost their job. You know, you're

413
00:21:50,359 --> 00:21:56,080
Speaker 2: just incorporating this into their their payroll, so that they

414
00:21:56,080 --> 00:22:00,000
Speaker 2: feel like you're feeding them pizza. You feed your true

415
00:22:00,000 --> 00:22:01,880
Speaker 2: they're going to fight for you. That kind of attitude.

416
00:22:01,880 --> 00:22:04,359
Speaker 2: It's like you put a little bit into the staff's

417
00:22:04,480 --> 00:22:06,280
Speaker 2: needs and they're gonna be like, hey man, why would

418
00:22:06,280 --> 00:22:08,240
Speaker 2: I go anywhere else? This guy they supply us with

419
00:22:08,280 --> 00:22:10,679
Speaker 2: the right tools. We have the information that comes to

420
00:22:10,920 --> 00:22:13,280
Speaker 2: help us. The guys across the street are still like,

421
00:22:13,359 --> 00:22:15,439
Speaker 2: you know, using a pic in an ass to do this.

422
00:22:15,560 --> 00:22:20,199
Speaker 2: It's like, now, oh, I had a thought here. It

423
00:22:20,240 --> 00:22:22,280
Speaker 2: was kind of kooky, but I don't I don't remember it.

424
00:22:22,280 --> 00:22:25,679
Speaker 2: I thought I thinking about like what about like hold on,

425
00:22:25,720 --> 00:22:28,639
Speaker 2: it's all about these drones because there's so many of them.

426
00:22:28,800 --> 00:22:32,680
Speaker 2: It's like, I don't even know, bro, there's like photography,

427
00:22:32,760 --> 00:22:34,760
Speaker 2: there's I got. I got guys that are like doing

428
00:22:34,840 --> 00:22:40,159
Speaker 2: movies with drones, big, huge, dooty drones. Man, oh Ai,

429
00:22:40,280 --> 00:22:46,120
Speaker 2: here's my question about AI to you. You know, podcasts

430
00:22:46,119 --> 00:22:48,320
Speaker 2: and things like that are starting to go AI, and

431
00:22:48,600 --> 00:22:49,960
Speaker 2: you know they're trying to say, hey, what if we

432
00:22:50,040 --> 00:22:53,480
Speaker 2: had you know, somebody speak on modern terms, but they're

433
00:22:53,480 --> 00:22:56,000
Speaker 2: from like, you know, the eighteen hundreds, and you get

434
00:22:56,000 --> 00:22:59,000
Speaker 2: this like classy voice talking about like black Mount data. Right,

435
00:22:59,000 --> 00:23:01,120
Speaker 2: You're like, okay, hey Bill, the kids telling about black

436
00:23:01,160 --> 00:23:03,880
Speaker 2: Hawk down AI. It's all AI. I get. How entertaining

437
00:23:03,920 --> 00:23:04,199
Speaker 2: that is?

438
00:23:04,280 --> 00:23:04,440
Speaker 3: Right?

439
00:23:05,000 --> 00:23:10,639
Speaker 2: However, when does AI talking to AI only become just

440
00:23:10,800 --> 00:23:15,240
Speaker 2: AI talking to AI and all information is just computer

441
00:23:15,320 --> 00:23:18,679
Speaker 2: generated because it can't it's not getting any am I

442
00:23:18,720 --> 00:23:19,280
Speaker 2: making sense?

443
00:23:19,880 --> 00:23:22,399
Speaker 3: Yeah, you're well, let me say, if I'm summarizing, correction,

444
00:23:22,880 --> 00:23:25,480
Speaker 3: you're saying, at a certain point when you don't have

445
00:23:25,600 --> 00:23:28,440
Speaker 3: humans in that conversation anymore and it's just two ais

446
00:23:28,520 --> 00:23:31,080
Speaker 3: sort of talking to each other, then you may get

447
00:23:31,119 --> 00:23:34,359
Speaker 3: further and further off the reservation where it becomes less

448
00:23:34,400 --> 00:23:37,320
Speaker 3: relevant for people as consumers or parts.

449
00:23:37,400 --> 00:23:37,720
Speaker 2: Corrects.

450
00:23:37,760 --> 00:23:41,280
Speaker 3: Maybe right. Yeah, So it is a really good question,

451
00:23:41,320 --> 00:23:43,679
Speaker 3: and that actually is one of the one of the

452
00:23:43,760 --> 00:23:47,240
Speaker 3: underlying questions that a lot of the the new like

453
00:23:47,400 --> 00:23:51,560
Speaker 3: LM sort of GPT style AI companies are really trying

454
00:23:51,600 --> 00:23:54,600
Speaker 3: to tackle. Now, is you know, how do you how

455
00:23:54,600 --> 00:23:58,800
Speaker 3: do you accelerate the process of training those machine learning

456
00:23:58,840 --> 00:24:02,320
Speaker 3: models quickly and cost effectively without having to train it

457
00:24:02,400 --> 00:24:06,119
Speaker 3: on real world data, which is by itself very imperfect,

458
00:24:06,359 --> 00:24:08,840
Speaker 3: Like you know, all the all the chatbots that are

459
00:24:08,840 --> 00:24:12,399
Speaker 3: trained on you know, Twitter data sets or you know,

460
00:24:12,560 --> 00:24:16,600
Speaker 3: they end up just being like terrible humans, like equivalents, right,

461
00:24:16,600 --> 00:24:19,639
Speaker 3: because they're taking the worst impulses of people on social

462
00:24:19,680 --> 00:24:22,919
Speaker 3: media and going, so this is a person exactly.

463
00:24:22,960 --> 00:24:25,439
Speaker 2: It's like it's like create this image of what this

464
00:24:25,680 --> 00:24:27,320
Speaker 2: is and then they go and pull all that data

465
00:24:27,400 --> 00:24:30,520
Speaker 2: from what it's been fed, right, right, And if AI

466
00:24:30,640 --> 00:24:33,640
Speaker 2: is only feeding AI, you know, and that human interaction

467
00:24:33,760 --> 00:24:35,719
Speaker 2: starts to go because people do want to you know,

468
00:24:35,880 --> 00:24:37,520
Speaker 2: use it and bring it in and you know, they

469
00:24:37,520 --> 00:24:40,000
Speaker 2: can have you know, a major news outlet's probably use

470
00:24:40,080 --> 00:24:43,920
Speaker 2: chat GPT to write articles, you know, and this AI

471
00:24:44,119 --> 00:24:46,359
Speaker 2: is just mashing it all up. And if all AI

472
00:24:46,560 --> 00:24:48,840
Speaker 2: is getting it, I just think that the interaction of

473
00:24:48,880 --> 00:24:51,600
Speaker 2: the human element always has the snow piercer Have you

474
00:24:51,600 --> 00:24:52,440
Speaker 2: ever seen that movie?

475
00:24:52,520 --> 00:24:56,119
Speaker 3: Yeah? Yeah, yeah, well so, I mean I think the

476
00:24:56,640 --> 00:25:00,639
Speaker 3: biggest worry in my view is where you have state

477
00:25:00,680 --> 00:25:03,639
Speaker 3: independent actors like you know, sort of the equivalent of

478
00:25:04,480 --> 00:25:07,199
Speaker 3: terror organizations. But folks that are that are saying, I

479
00:25:07,200 --> 00:25:09,520
Speaker 3: don't care what the impacts are, I'm just trying to

480
00:25:09,560 --> 00:25:12,800
Speaker 3: affect this negative outcome for a group. And you know,

481
00:25:12,880 --> 00:25:15,560
Speaker 3: this was popularized in the last election where there was

482
00:25:15,560 --> 00:25:20,359
Speaker 3: a lot of paid disinformation from North Korea, Russia, you

483
00:25:20,400 --> 00:25:23,200
Speaker 3: know whatever, fill in the blank. But as you get

484
00:25:23,200 --> 00:25:26,919
Speaker 3: to America. Yeah, and as you get further into that world,

485
00:25:27,359 --> 00:25:31,000
Speaker 3: then the AI models accelerate the ability for what the

486
00:25:31,240 --> 00:25:34,080
Speaker 3: Intelligence Committee would call an asymmetric threat. Right, it's a

487
00:25:34,119 --> 00:25:38,000
Speaker 3: single individual that kind of large impact by driving these

488
00:25:38,080 --> 00:25:42,040
Speaker 3: these sort of negative conversations, and so AI and especially

489
00:25:42,200 --> 00:25:45,760
Speaker 3: LMS have a huge outsize impact there. And that that's

490
00:25:45,760 --> 00:25:48,239
Speaker 3: what worries me the most is you know, there's no

491
00:25:48,320 --> 00:25:51,280
Speaker 3: regulation for that, and there couldn't be because they are

492
00:25:51,280 --> 00:25:54,639
Speaker 3: outside of that that sort of category. So then what

493
00:25:54,800 --> 00:25:57,359
Speaker 3: happens with that? And unless we can figure out a

494
00:25:57,400 --> 00:26:01,080
Speaker 3: way to sort of bypass that or to evaluate or

495
00:26:01,240 --> 00:26:03,400
Speaker 3: you know, get in front of that, you know, we

496
00:26:03,480 --> 00:26:06,679
Speaker 3: as citizens and individuals are in a bad place to

497
00:26:06,840 --> 00:26:08,840
Speaker 3: kind of evaluate all that stuff.

498
00:26:09,119 --> 00:26:11,040
Speaker 2: I don't even think this conversation that you and I

499
00:26:11,080 --> 00:26:15,960
Speaker 2: are having is really happening. Yeah, you know, this is

500
00:26:16,000 --> 00:26:18,160
Speaker 2: something that if you're listening right now to our show

501
00:26:18,440 --> 00:26:21,320
Speaker 2: and you're hearing stuff that nobody's really talking about around

502
00:26:21,359 --> 00:26:24,600
Speaker 2: the dinner table, okay, and because nobody's really thinking like, oh,

503
00:26:24,640 --> 00:26:28,000
Speaker 2: this is happening, but it is yep, very much. So

504
00:26:28,040 --> 00:26:31,639
Speaker 2: you're going to like conferences and you're seeing like you know, uh,

505
00:26:32,280 --> 00:26:37,720
Speaker 2: vendors who are just probably just flourishing and trying to

506
00:26:37,760 --> 00:26:40,120
Speaker 2: like say, by our thing, by our thing. You need

507
00:26:40,160 --> 00:26:42,960
Speaker 2: this thing, you know, this little screw to go into

508
00:26:43,000 --> 00:26:44,960
Speaker 2: all your AI stuff. You need this little bolt, you know,

509
00:26:45,000 --> 00:26:46,800
Speaker 2: because it's space age stuff. Whatever.

510
00:26:49,200 --> 00:26:50,119
Speaker 3: Yeah, it's very wild.

511
00:26:50,520 --> 00:26:54,359
Speaker 2: It is wild, it is and yeah, that's that's the

512
00:26:54,400 --> 00:26:56,639
Speaker 2: consumer market show. Do you guys go to cees? Is

513
00:26:56,640 --> 00:26:58,280
Speaker 2: that what you guys do? How do you may? I?

514
00:26:58,760 --> 00:27:00,880
Speaker 3: Yeah, I mean we will be a SEES this year.

515
00:27:01,560 --> 00:27:07,320
Speaker 3: We are more in the sort of market specific survey

516
00:27:07,440 --> 00:27:11,399
Speaker 3: and geospatial and mining sort of industrial shows where you

517
00:27:11,480 --> 00:27:14,840
Speaker 3: have other vendors and customers that are looking for very

518
00:27:14,880 --> 00:27:18,520
Speaker 3: specific sort of sets of solutions and in that world,

519
00:27:18,600 --> 00:27:20,439
Speaker 3: you know, those are those are great conversations to have

520
00:27:20,480 --> 00:27:24,159
Speaker 3: because it's often people who have very specific problems and

521
00:27:24,520 --> 00:27:26,119
Speaker 3: we can listen to them and that's you know, the

522
00:27:26,119 --> 00:27:29,880
Speaker 3: fundamental product building, right is like listen, learn understand what

523
00:27:29,920 --> 00:27:32,840
Speaker 3: the what their existing process is, what's bad about it,

524
00:27:32,880 --> 00:27:34,320
Speaker 3: and how we might be able to help them out.

525
00:27:34,640 --> 00:27:37,880
Speaker 3: And so those conversations that having the sort of centralized

526
00:27:38,160 --> 00:27:40,840
Speaker 3: is great. That's a big opportunity for us and helps

527
00:27:40,880 --> 00:27:43,600
Speaker 3: us you know, guide product development and you know, hopefully

528
00:27:43,640 --> 00:27:45,520
Speaker 3: we sell systems as a result of that as well.

529
00:27:46,119 --> 00:27:49,240
Speaker 3: But it all is a link to better understanding of

530
00:27:49,280 --> 00:27:53,399
Speaker 3: the problems people are facing in their in their operating scenario.

531
00:27:53,080 --> 00:27:56,160
Speaker 2: Right right, right, Like maybe how can you come together

532
00:27:56,240 --> 00:27:58,840
Speaker 2: to solve problems versus cause problems?

533
00:27:59,000 --> 00:27:59,359
Speaker 3: That's right?

534
00:27:59,400 --> 00:28:01,119
Speaker 2: Yeah, a lot of percent. No, I love that. I

535
00:28:01,160 --> 00:28:03,080
Speaker 2: love your I'm sure you have think tanks and you're

536
00:28:03,080 --> 00:28:05,840
Speaker 2: involved in all sorts of stuff that is just outside

537
00:28:05,880 --> 00:28:09,840
Speaker 2: the box. Typically we try six sigma this bro Okay,

538
00:28:09,880 --> 00:28:14,880
Speaker 2: it's like you better six sigma this autonomous drone man,

539
00:28:14,960 --> 00:28:18,600
Speaker 2: it's like word with math, math with words. Let me

540
00:28:18,600 --> 00:28:27,800
Speaker 2: figure this out. Blades, props, camera together, Yes, exactly right. Wow,

541
00:28:27,840 --> 00:28:31,200
Speaker 2: that's really neat dude. Now, well, now, as a young

542
00:28:31,200 --> 00:28:33,199
Speaker 2: man growing up before you went in the Navy, did

543
00:28:33,240 --> 00:28:34,800
Speaker 2: you think you were going to be working in such

544
00:28:34,840 --> 00:28:37,000
Speaker 2: futuristic stuff or were you like I'm going to be,

545
00:28:37,160 --> 00:28:38,960
Speaker 2: you know, a full time.

546
00:28:38,840 --> 00:28:43,960
Speaker 3: Navy Yeah, I mean I probably I I liked the categories.

547
00:28:44,080 --> 00:28:46,360
Speaker 3: I don't know that I really thought I would be

548
00:28:46,520 --> 00:28:49,760
Speaker 3: able to do them all for a bit. I probably

549
00:28:49,920 --> 00:28:53,800
Speaker 3: was like, you know, in my rebellion phase, I probably

550
00:28:53,840 --> 00:28:55,040
Speaker 3: was like, I want to go live in the woods

551
00:28:55,080 --> 00:28:58,080
Speaker 3: and write angry poetry or something. But you know, then,

552
00:28:58,360 --> 00:29:00,640
Speaker 3: you know, we all go through our own that. But

553
00:29:01,080 --> 00:29:03,720
Speaker 3: you know, later on I was like, you know, really

554
00:29:03,800 --> 00:29:07,680
Speaker 3: really dig on the idea of service. I was. I

555
00:29:07,720 --> 00:29:10,880
Speaker 3: was a big fan of Robert Heinland, and he wrote

556
00:29:11,040 --> 00:29:14,240
Speaker 3: a particular book called Starship Troopers, which was made into

557
00:29:14,240 --> 00:29:17,000
Speaker 3: sort of this sort of odd ball, over the top movie,

558
00:29:17,240 --> 00:29:19,600
Speaker 3: but he actually wrote that book around the concept of

559
00:29:19,600 --> 00:29:24,800
Speaker 3: service and citizenship and you know, whether you deserve citizenship

560
00:29:24,840 --> 00:29:27,800
Speaker 3: through birthright or through service, which is a really really

561
00:29:27,800 --> 00:29:32,640
Speaker 3: interesting philosophical question and one that is incredibly contentious all

562
00:29:32,640 --> 00:29:37,040
Speaker 3: over us included, and my my take on it was

563
00:29:37,040 --> 00:29:40,720
Speaker 3: basically that you know, I, you know, white male, born

564
00:29:41,040 --> 00:29:43,960
Speaker 3: in New England, and you know, at a time when

565
00:29:44,880 --> 00:29:47,440
Speaker 3: I've got a lot going for me, so you know,

566
00:29:47,480 --> 00:29:51,640
Speaker 3: I figured, you know, given that, and I should be

567
00:29:51,720 --> 00:29:55,640
Speaker 3: doing service first and then thinking about what what can

568
00:29:55,640 --> 00:29:57,760
Speaker 3: I do for me or for my family or whatever.

569
00:29:57,920 --> 00:30:00,160
Speaker 3: So that was kind of my background for going the

570
00:30:00,160 --> 00:30:02,840
Speaker 3: military in the first place. But you know, as a

571
00:30:02,880 --> 00:30:05,440
Speaker 3: result of that, I had focused on like, let me

572
00:30:05,520 --> 00:30:08,440
Speaker 3: learn and understand and you know, get a sense for

573
00:30:08,480 --> 00:30:11,280
Speaker 3: how the country works. And like, I'm sure there's a

574
00:30:11,320 --> 00:30:14,600
Speaker 3: lot wrong with it, but however we got here, it's

575
00:30:14,640 --> 00:30:16,960
Speaker 3: not bad. Let me see how I can participate in

576
00:30:17,000 --> 00:30:19,680
Speaker 3: improving it and making it better. So, you know, that

577
00:30:19,760 --> 00:30:21,840
Speaker 3: was kind of my starting point, the fact that I

578
00:30:21,840 --> 00:30:24,000
Speaker 3: get to work on all this cool stuff. Now, you know,

579
00:30:24,360 --> 00:30:26,280
Speaker 3: full thumbs up, I'm a huge fan, love it.

580
00:30:26,400 --> 00:30:26,600
Speaker 2: Right.

581
00:30:26,720 --> 00:30:28,760
Speaker 3: I keep, you know, trying to press and go after

582
00:30:28,800 --> 00:30:32,520
Speaker 3: interesting projects and interesting categories, you know, trying to help

583
00:30:32,560 --> 00:30:36,320
Speaker 3: people make things better. But yeah, and pretty.

584
00:30:36,120 --> 00:30:38,480
Speaker 2: Much how many years you do in the navy, I did,

585
00:30:38,640 --> 00:30:39,200
Speaker 2: like about.

586
00:30:39,000 --> 00:30:42,000
Speaker 3: Six years I did. I did RTC, so I owed

587
00:30:42,280 --> 00:30:43,920
Speaker 3: two tours. I did a little bit more than that.

588
00:30:44,080 --> 00:30:47,160
Speaker 3: I went to new school and did that stuff. But yeah,

589
00:30:47,320 --> 00:30:48,600
Speaker 3: so and.

590
00:30:48,880 --> 00:30:51,120
Speaker 2: Then the transition. Right, a lot of our listeners are

591
00:30:51,200 --> 00:30:53,360
Speaker 2: veterans or are mb in and they're like, hey, you

592
00:30:53,360 --> 00:30:55,320
Speaker 2: know the transition. We hear it all the time. How

593
00:30:55,320 --> 00:30:57,680
Speaker 2: do I transition from military to civilian life? Well, you

594
00:30:57,680 --> 00:31:00,360
Speaker 2: were a civilian and you transition to the militar terry.

595
00:31:00,600 --> 00:31:02,520
Speaker 2: So first of all, you're successful at it, so you

596
00:31:02,560 --> 00:31:04,920
Speaker 2: could do it again, and so what was it that

597
00:31:04,960 --> 00:31:07,240
Speaker 2: made you transition into this field?

598
00:31:07,320 --> 00:31:11,280
Speaker 3: May I Yeah, So I think the way that I

599
00:31:11,360 --> 00:31:14,080
Speaker 3: kind of viewed coming out of the military was, you know,

600
00:31:14,200 --> 00:31:17,160
Speaker 3: I had this sense that I wanted to have an

601
00:31:17,160 --> 00:31:22,080
Speaker 3: impact and you know, drive the conversation and the technologies forward.

602
00:31:22,560 --> 00:31:25,560
Speaker 3: But there were such huge gaps in my experience. Like

603
00:31:25,720 --> 00:31:28,120
Speaker 3: you know, junior officer in the Navy, you learn a lot,

604
00:31:28,280 --> 00:31:30,760
Speaker 3: you get to do a lot of things, but you

605
00:31:30,800 --> 00:31:32,920
Speaker 3: can also fill a ship with what I didn't know

606
00:31:33,000 --> 00:31:35,560
Speaker 3: and what I thought I knew and really didn't And

607
00:31:36,160 --> 00:31:38,280
Speaker 3: you know, coming out of that, I didn't know anything

608
00:31:38,320 --> 00:31:41,600
Speaker 3: about finance. You know, I knew operations, I knew you know,

609
00:31:41,880 --> 00:31:44,720
Speaker 3: some form of leadership I had. I had to learn

610
00:31:44,800 --> 00:31:48,720
Speaker 3: to lead people quickly and under duress. But you know,

611
00:31:48,760 --> 00:31:51,080
Speaker 3: I didn't have any idea how the finances worked. I

612
00:31:51,120 --> 00:31:53,840
Speaker 3: didn't have any idea about a lot of the sort

613
00:31:53,840 --> 00:31:57,080
Speaker 3: of the business theory behind things that I sort of

614
00:31:57,400 --> 00:31:59,280
Speaker 3: guessed at or had like sort of a street level

615
00:31:59,320 --> 00:32:02,880
Speaker 3: knowledge of. And so going in and saying, Okay, maybe

616
00:32:02,880 --> 00:32:06,280
Speaker 3: that's the next thing to do, is do business development, sales, finance,

617
00:32:06,600 --> 00:32:09,840
Speaker 3: Just get how does it work? What's the underpinning there? Right?

618
00:32:10,200 --> 00:32:15,040
Speaker 3: And then being able to apply leadership and management and

619
00:32:15,160 --> 00:32:20,040
Speaker 3: operations experience to that then gives you a pretty good

620
00:32:20,080 --> 00:32:23,360
Speaker 3: baseline for you know, learning the next thing, learning a

621
00:32:23,360 --> 00:32:26,440
Speaker 3: new industry, learning a new jargon, you know, et cetera.

622
00:32:26,880 --> 00:32:28,920
Speaker 3: And I think that honestly, I do a lot of

623
00:32:28,920 --> 00:32:31,600
Speaker 3: mentorship for people transitioning out of the military. I've been

624
00:32:31,640 --> 00:32:34,680
Speaker 3: a coach and mentor for over a decade doing that stuff,

625
00:32:35,040 --> 00:32:39,400
Speaker 3: and by far the biggest problem people have is trying

626
00:32:39,440 --> 00:32:43,200
Speaker 3: to describe how their experience in the military is relevant

627
00:32:43,320 --> 00:32:47,880
Speaker 3: to different scenarios. And you know, the easiest you know

628
00:32:47,920 --> 00:32:50,840
Speaker 3: trap people fall into, especially for like a guy that

629
00:32:50,960 --> 00:32:54,240
Speaker 3: was a riflement or something, is like, well, what kind

630
00:32:54,280 --> 00:32:56,280
Speaker 3: of yeah, like what kind of job am I going

631
00:32:56,320 --> 00:32:57,840
Speaker 3: to have that's going to pay me to like carry

632
00:32:57,840 --> 00:33:01,440
Speaker 3: a gun still? And you're like, sure, serve security or whatever, right,

633
00:33:01,480 --> 00:33:04,440
Speaker 3: But like it's kind of missing the point because even

634
00:33:04,480 --> 00:33:08,280
Speaker 3: as isn't even as a junior rifleman, ten percent of

635
00:33:08,320 --> 00:33:12,120
Speaker 3: your job is like combat specific, right, Most of it

636
00:33:12,200 --> 00:33:17,360
Speaker 3: is you know organization, you know, doing like small management maintenance,

637
00:33:17,920 --> 00:33:20,240
Speaker 3: you know the in the Navy it's called you know,

638
00:33:20,280 --> 00:33:23,320
Speaker 3: preventative maintenance systems like PMS. And like that is, you know,

639
00:33:23,400 --> 00:33:26,440
Speaker 3: the day to day of every sale or junior or senior,

640
00:33:26,440 --> 00:33:29,840
Speaker 3: and like most of that stuff translates to the civilian world,

641
00:33:30,080 --> 00:33:31,440
Speaker 3: but you've got to learn how to break it down

642
00:33:31,480 --> 00:33:34,200
Speaker 3: into little building blocks so that you're going out of

643
00:33:34,240 --> 00:33:39,120
Speaker 3: a forty hour week, you know, three hours was shooting

644
00:33:39,880 --> 00:33:43,760
Speaker 3: the rest of it relevant and so helping people to

645
00:33:43,800 --> 00:33:46,240
Speaker 3: sort of break that stuff down has been a huge,

646
00:33:46,440 --> 00:33:50,040
Speaker 3: huge piece of how I've been doing mentorship in that category.

647
00:33:50,080 --> 00:33:52,400
Speaker 3: And you know, a lot of it helps people to

648
00:33:52,520 --> 00:33:56,880
Speaker 3: sort of just transition into yours using different terminology, different phrases,

649
00:33:57,200 --> 00:34:00,800
Speaker 3: you know, recognizing that all of the the three letter

650
00:34:00,840 --> 00:34:04,560
Speaker 3: summaries you have for things don't apply. And it's probably

651
00:34:04,560 --> 00:34:08,400
Speaker 3: going to get confusing because there's civilian or corporate jargon

652
00:34:08,520 --> 00:34:10,200
Speaker 3: versions of those same.

653
00:34:10,040 --> 00:34:13,239
Speaker 2: Three A PMS, yeah, exactly uses the PMS, and they're

654
00:34:13,239 --> 00:34:15,080
Speaker 2: gonna be like, what God to hr You're like, no,

655
00:34:15,120 --> 00:34:19,640
Speaker 2: I'm just trying to do cofeitive maintenance exaclutions. Yeah, so

656
00:34:19,640 --> 00:34:21,480
Speaker 2: so you gotta I get that. I get that.

657
00:34:21,760 --> 00:34:24,160
Speaker 3: So it's a really interesting that.

658
00:34:25,600 --> 00:34:29,160
Speaker 2: Transition, yeah, to get there, you know, and if somebody

659
00:34:29,320 --> 00:34:31,759
Speaker 2: is in the military and they're transitioning what's something that

660
00:34:32,280 --> 00:34:34,359
Speaker 2: X and Technologies might be looking for out of them?

661
00:34:34,400 --> 00:34:37,120
Speaker 2: You know, are you looking for all bachelor's masters guys?

662
00:34:37,160 --> 00:34:39,960
Speaker 2: Is there somebody out there that could can the chef apply?

663
00:34:40,360 --> 00:34:43,239
Speaker 2: Is there a you know position, you know, because he

664
00:34:43,280 --> 00:34:43,960
Speaker 2: could translate?

665
00:34:44,160 --> 00:34:46,520
Speaker 3: That's right. So we've got We've had a bunch of

666
00:34:46,600 --> 00:34:50,080
Speaker 3: transitioning folks come across. We've had an Air Force pilot,

667
00:34:50,120 --> 00:34:54,120
Speaker 3: we had a Navy seal, We've had I think a

668
00:34:54,200 --> 00:34:59,680
Speaker 3: Marine Corps rifleman. We had a like an IT guy, so,

669
00:34:59,800 --> 00:35:02,080
Speaker 3: you know, we it depends on the role you're hiring for,

670
00:35:02,160 --> 00:35:04,239
Speaker 3: of course, Like we have some production technicians that don't

671
00:35:04,239 --> 00:35:06,880
Speaker 3: require a college degree. We bring folks in and we

672
00:35:07,000 --> 00:35:09,080
Speaker 3: help them sort of train up, and it's a fairly

673
00:35:09,120 --> 00:35:11,399
Speaker 3: technical role. You don't need you know, a four your

674
00:35:11,400 --> 00:35:14,319
Speaker 3: degree for it. And so a lot of times that

675
00:35:14,520 --> 00:35:17,040
Speaker 3: structure from being in the military is great for coming

676
00:35:17,040 --> 00:35:20,600
Speaker 3: in and doing especially operational things where you're like, all right,

677
00:35:20,600 --> 00:35:22,440
Speaker 3: here's the process, and they go, got it. I can

678
00:35:22,520 --> 00:35:25,360
Speaker 3: nail that, you know, day two, and then you begin

679
00:35:25,440 --> 00:35:28,439
Speaker 3: to extract, like who are the ones that can think

680
00:35:28,480 --> 00:35:31,399
Speaker 3: on their feet and can you know, operate with more

681
00:35:31,520 --> 00:35:35,160
Speaker 3: vague guidance? And you know, high level objectives and then

682
00:35:35,160 --> 00:35:37,399
Speaker 3: they self define their paths and you know, you start

683
00:35:37,440 --> 00:35:39,640
Speaker 3: to figure out who can who can promote easily, and

684
00:35:39,680 --> 00:35:42,239
Speaker 3: who you know is better served to go to another

685
00:35:42,239 --> 00:35:43,799
Speaker 3: place or whatever. And you know we try and help

686
00:35:43,800 --> 00:35:44,680
Speaker 3: people figure that out.

687
00:35:46,800 --> 00:35:48,880
Speaker 2: That's awesome And I love the aspect of like, you know,

688
00:35:48,880 --> 00:35:51,920
Speaker 2: bringing someone over who maybe worked let's say the ship's

689
00:35:51,960 --> 00:35:53,880
Speaker 2: armory k where they have to check in the guns

690
00:35:53,880 --> 00:35:55,640
Speaker 2: all day and all the equipment they have to check

691
00:35:55,680 --> 00:35:57,080
Speaker 2: it out. You know, you're like, now, how am I

692
00:35:57,080 --> 00:35:59,840
Speaker 2: going to transition this into life? It's like bro inventory

693
00:35:59,840 --> 00:36:04,719
Speaker 2: man management number one, you know, like, you know, it

694
00:36:04,719 --> 00:36:06,359
Speaker 2: doesn't have to be cleaning at all. You could be like, oh,

695
00:36:06,400 --> 00:36:11,279
Speaker 2: I know how to keep inventory a direct? How many

696
00:36:11,280 --> 00:36:13,239
Speaker 2: businesses have inventory? Yeah?

697
00:36:14,000 --> 00:36:15,759
Speaker 3: Yeah, absolutely all of them?

698
00:36:15,880 --> 00:36:18,960
Speaker 2: You know, you know, you know so I mean there's

699
00:36:18,960 --> 00:36:20,960
Speaker 2: always something out there, right, You just got to think

700
00:36:21,000 --> 00:36:23,200
Speaker 2: outside how can I apply this to this? When people

701
00:36:23,200 --> 00:36:25,399
Speaker 2: ask me, hey, rad, are you hiring at your airsoft shop?

702
00:36:25,880 --> 00:36:28,839
Speaker 2: And I'm like, I never say no. Yeah, I never

703
00:36:28,840 --> 00:36:31,200
Speaker 2: say no to the fourteen the twelve year old who's

704
00:36:31,200 --> 00:36:33,000
Speaker 2: asking can you hire me? I'm like, I won't say

705
00:36:33,000 --> 00:36:34,640
Speaker 2: no because maybe that kid knows how to edit.

706
00:36:35,040 --> 00:36:35,959
Speaker 3: Yeah. Total.

707
00:36:36,160 --> 00:36:38,120
Speaker 2: So if they send me a resume and it looks

708
00:36:38,239 --> 00:36:40,319
Speaker 2: good and it's got something on there, yeah, you know,

709
00:36:40,440 --> 00:36:41,719
Speaker 2: we might reach out to you and say, hey, you

710
00:36:41,719 --> 00:36:44,840
Speaker 2: want to do some side gigs or whatever or But

711
00:36:44,880 --> 00:36:48,320
Speaker 2: if you apply to the job and you are applying

712
00:36:48,480 --> 00:36:50,960
Speaker 2: to be a manager of a department store and you

713
00:36:51,000 --> 00:36:53,640
Speaker 2: put down that you know you can snipe real well,

714
00:36:55,800 --> 00:36:58,040
Speaker 2: you got it. You gotta you gotta, you gotta massage

715
00:36:58,080 --> 00:37:02,839
Speaker 2: that for the person reading that resume. Okay, you got

716
00:37:02,840 --> 00:37:05,000
Speaker 2: to say, oh, I can pay attention to detail.

717
00:37:05,160 --> 00:37:07,200
Speaker 3: Yeah, you gotta hit exactly. You got to pull apart

718
00:37:07,239 --> 00:37:10,080
Speaker 3: the common building blocks and say, you know, have I

719
00:37:10,160 --> 00:37:12,440
Speaker 3: got all the exact experience? No, but all of the

720
00:37:12,480 --> 00:37:15,960
Speaker 3: building blocks overlapped, and I can wear on the other twenty.

721
00:37:15,800 --> 00:37:18,839
Speaker 2: P exactly exactly. And if you give me a shot,

722
00:37:18,880 --> 00:37:20,439
Speaker 2: I'll show you I can do it on the job,

723
00:37:20,520 --> 00:37:23,160
Speaker 2: no problem. Yeah exactly. So if you're a veteran out

724
00:37:23,200 --> 00:37:25,120
Speaker 2: there and you're looking to transition, just just do it.

725
00:37:25,160 --> 00:37:28,920
Speaker 2: Just get it, get going, just apply, apply yourself, you know,

726
00:37:29,080 --> 00:37:32,840
Speaker 2: and it's okay to fail. That's where the word success

727
00:37:32,880 --> 00:37:35,480
Speaker 2: comes from, right, So every time I go to the gym.

728
00:37:35,560 --> 00:37:36,879
Speaker 2: I know I'm going to go in there and fail

729
00:37:36,960 --> 00:37:39,319
Speaker 2: because I'm going to push myself to failure, so that

730
00:37:39,800 --> 00:37:42,520
Speaker 2: hopefully the success of a longer heart rate or a

731
00:37:42,560 --> 00:37:45,640
Speaker 2: better heart and no diabetes and you know all the

732
00:37:45,680 --> 00:37:51,600
Speaker 2: other things come along with some weight, you know, nothing like.

733
00:37:51,840 --> 00:37:55,040
Speaker 2: And also I've just been boxing, you know, that's really

734
00:37:55,040 --> 00:38:00,600
Speaker 2: what I've really found to be a mental cleanser. And

735
00:38:00,640 --> 00:38:03,000
Speaker 2: so not only am I, you know, throwing the gloves

736
00:38:03,040 --> 00:38:05,400
Speaker 2: at the at the gym, I'm I'm clearing my head

737
00:38:05,840 --> 00:38:07,640
Speaker 2: and I'm paying one hundred bucks a month to do this.

738
00:38:08,800 --> 00:38:10,759
Speaker 2: Like where can you get a psychiatrist for that?

739
00:38:10,920 --> 00:38:11,160
Speaker 3: You know?

740
00:38:11,640 --> 00:38:13,680
Speaker 2: The coach comes over, he's like yeah, rad three four

741
00:38:13,760 --> 00:38:16,600
Speaker 2: three three four three. You're like, yes, coach, Yes, coach.

742
00:38:16,640 --> 00:38:19,719
Speaker 2: It's just yes, coach, you know. And that kind of environment,

743
00:38:19,760 --> 00:38:22,399
Speaker 2: you know, where there's like that camaraderie and everybody's in there.

744
00:38:23,040 --> 00:38:25,000
Speaker 2: She'd be a better healthy you, is all I'm trying

745
00:38:25,000 --> 00:38:27,359
Speaker 2: to say. You know, I'm not perfect. I can only

746
00:38:27,360 --> 00:38:30,200
Speaker 2: strive for perfection, and this is what striving for perfection

747
00:38:30,280 --> 00:38:37,120
Speaker 2: looks like. Okay, oh see, now I'm glad Lily introduced

748
00:38:37,160 --> 00:38:40,239
Speaker 2: us again to talk about this cause you know, we're

749
00:38:40,640 --> 00:38:42,880
Speaker 2: I really do care about Aca Poco and all the

750
00:38:42,920 --> 00:38:44,920
Speaker 2: people there. I really want that to be, you know,

751
00:38:45,040 --> 00:38:47,439
Speaker 2: kind of brought to the forefront, because nobody's really talking

752
00:38:47,440 --> 00:38:50,040
Speaker 2: about how hard Mexico did get hit. And it is

753
00:38:50,080 --> 00:38:53,080
Speaker 2: such a thing that you know, she's she's been already,

754
00:38:53,360 --> 00:38:55,200
Speaker 2: you know, relating back and forth through emails with me

755
00:38:55,239 --> 00:38:57,120
Speaker 2: so much. I just wanted to just embarrass her a

756
00:38:57,120 --> 00:39:00,680
Speaker 2: little more, lily, throw her name out there again. So yes,

757
00:39:01,800 --> 00:39:03,520
Speaker 2: just to make her smile when she watches this.

758
00:39:05,719 --> 00:39:05,959
Speaker 3: Yep.

759
00:39:07,400 --> 00:39:10,680
Speaker 2: I'm happy to know that folks like yourself, Ben are

760
00:39:10,719 --> 00:39:12,959
Speaker 2: out there trying to do the right thing with these

761
00:39:13,000 --> 00:39:16,600
Speaker 2: new modern technologies that you know are gonna just keep

762
00:39:16,640 --> 00:39:19,040
Speaker 2: going and going and going and going. And you're the

763
00:39:19,040 --> 00:39:23,160
Speaker 2: building blocks of this. You guys go to these conventions

764
00:39:23,200 --> 00:39:25,839
Speaker 2: and see everything else that's going to be happening. So,

765
00:39:26,000 --> 00:39:27,840
Speaker 2: I mean, holy cow, man, I can't wait for the

766
00:39:27,840 --> 00:39:31,960
Speaker 2: movie you're gonna write Fingers crossed.

767
00:39:32,000 --> 00:39:33,000
Speaker 3: I'll get that ghost right.

768
00:39:32,920 --> 00:39:37,080
Speaker 2: And moving, Oh seriously, right, yeah, bro, Because the things

769
00:39:37,080 --> 00:39:38,520
Speaker 2: that you're dealing with, I mean, you could bring that

770
00:39:38,560 --> 00:39:40,480
Speaker 2: into a film. I don't know whether you're filming the

771
00:39:40,520 --> 00:39:45,040
Speaker 2: movie with it or it's about what you're doing. Yeah,

772
00:39:46,280 --> 00:39:49,160
Speaker 2: ar to life, dude. Let me okay, now, now I

773
00:39:49,160 --> 00:39:51,879
Speaker 2: ask my folks that come on the show if they've

774
00:39:51,880 --> 00:39:55,800
Speaker 2: had any type of an instance and your navy, Now,

775
00:39:56,320 --> 00:39:58,000
Speaker 2: what kind of a ship were you on when you

776
00:39:58,040 --> 00:40:01,040
Speaker 2: first went out or what have you ever had? Here's

777
00:40:01,080 --> 00:40:03,560
Speaker 2: my question, have you ever had that? I'm going to

778
00:40:03,640 --> 00:40:07,239
Speaker 2: Davy Jones's locker moment because of the mother Nature's like

779
00:40:07,680 --> 00:40:08,600
Speaker 2: you're screwed today.

780
00:40:08,920 --> 00:40:12,600
Speaker 3: We had. I had a few times where it was

781
00:40:12,680 --> 00:40:19,880
Speaker 3: pretty dicey. I led small boat boarding teams doing VBSS

782
00:40:20,080 --> 00:40:22,200
Speaker 3: all right. At the time it was called VBSS. I

783
00:40:22,239 --> 00:40:25,960
Speaker 3: think it's called something different now, but it was a

784
00:40:26,040 --> 00:40:29,799
Speaker 3: board search and seize yep, and so visit. One of

785
00:40:29,840 --> 00:40:32,919
Speaker 3: the one of the ships we boarded was, I want

786
00:40:32,920 --> 00:40:36,560
Speaker 3: to say it was a Russian flagged ship that had

787
00:40:37,280 --> 00:40:42,120
Speaker 3: maybe been smuggling something. And the master on board was

788
00:40:42,320 --> 00:40:46,480
Speaker 3: like a complete caricature, like you could not have created

789
00:40:46,560 --> 00:40:50,720
Speaker 3: a more made from movie caricature of like a Russian captain.

790
00:40:51,560 --> 00:40:54,320
Speaker 3: It was just like holding a half empty bottle.

791
00:40:54,680 --> 00:40:57,439
Speaker 2: He was like, what do you want, just.

792
00:40:57,360 --> 00:41:00,360
Speaker 3: Like like a Russian mobster who decided to capped in

793
00:41:00,360 --> 00:41:03,840
Speaker 3: a ship like half empty bottle of vodkill, like waving

794
00:41:03,840 --> 00:41:07,759
Speaker 3: a pistol around like we we really thought out of

795
00:41:08,000 --> 00:41:10,840
Speaker 3: just you know, drunkenness, he was going to start shooting.

796
00:41:11,239 --> 00:41:13,880
Speaker 3: And so we went and secured the ship. We got

797
00:41:13,920 --> 00:41:16,640
Speaker 3: all the crew and they were they were totally fine.

798
00:41:16,640 --> 00:41:19,120
Speaker 3: They were like, yeah, understood, you know what's going on here.

799
00:41:19,800 --> 00:41:22,359
Speaker 3: So they were chilling down in the salon, but you know,

800
00:41:22,440 --> 00:41:24,239
Speaker 3: we we were sort of having this face off with

801
00:41:24,280 --> 00:41:27,000
Speaker 3: this guy. And it was me and the assistant boarding officer, who,

802
00:41:27,520 --> 00:41:29,680
Speaker 3: you know, thank god, it was like a super experienced

803
00:41:29,800 --> 00:41:33,520
Speaker 3: senior enlisted chief petty officer that you know, had a

804
00:41:33,560 --> 00:41:36,319
Speaker 3: lot of experience here. And so me twenty two year old,

805
00:41:36,520 --> 00:41:38,200
Speaker 3: you know, junior officer or twenty three I guess at

806
00:41:38,200 --> 00:41:41,800
Speaker 3: the time, but you know, I was, I think, pretty

807
00:41:41,800 --> 00:41:44,040
Speaker 3: decent at the job, but nowhere near the experience that

808
00:41:44,280 --> 00:41:46,640
Speaker 3: you know, the senior list the chief had, and he

809
00:41:46,640 --> 00:41:48,600
Speaker 3: he and I both sort of like we're able to

810
00:41:48,640 --> 00:41:51,720
Speaker 3: talk this guy down. But it was a pretty wild experience.

811
00:41:51,719 --> 00:41:54,919
Speaker 3: So I think that's probably the closest I've ever come

812
00:41:55,000 --> 00:41:59,240
Speaker 3: to to someone like, you know, eyes eyes in my eyes,

813
00:41:59,400 --> 00:42:02,720
Speaker 3: like something might go here.

814
00:42:03,040 --> 00:42:05,080
Speaker 2: Holy yeah, yeah, now that is that is Yeah, you're

815
00:42:05,120 --> 00:42:08,200
Speaker 2: just like and thank goodness for your senior listed chief.

816
00:42:08,280 --> 00:42:13,920
Speaker 3: Right, Yeah, he talked the guy down like see chief, Yeah,

817
00:42:14,000 --> 00:42:15,920
Speaker 3: you know I wouldn't would.

818
00:42:17,080 --> 00:42:19,200
Speaker 2: The officer respects the chief. Chief.

819
00:42:19,760 --> 00:42:21,399
Speaker 3: I can't do anything about the chiefs, come.

820
00:42:21,320 --> 00:42:25,520
Speaker 2: On anything without the chiefs. I'm just putting that out there.

821
00:42:25,840 --> 00:42:27,440
Speaker 2: And I saw them back there with their mugs that

822
00:42:27,480 --> 00:42:29,879
Speaker 2: are stained at the black top. Don't ever watch that mug.

823
00:42:30,239 --> 00:42:31,240
Speaker 2: Never watched their mug.

824
00:42:31,920 --> 00:42:33,359
Speaker 3: No sitting in the goat locker going.

825
00:42:35,680 --> 00:42:38,040
Speaker 2: Damn right, that's right. It's the chiefs, every single one

826
00:42:38,080 --> 00:42:45,240
Speaker 2: of me. Chiefs. Would you exit out of the navy

827
00:42:45,239 --> 00:42:47,080
Speaker 2: ass you went in as an ensign? Is that how

828
00:42:47,120 --> 00:42:47,719
Speaker 2: it starts out?

829
00:42:48,000 --> 00:42:50,080
Speaker 3: I came in as an ensign, I left asobu tenants

830
00:42:50,080 --> 00:42:53,960
Speaker 3: and three and then uh, you know, made my transition

831
00:42:54,480 --> 00:42:54,839
Speaker 3: from there.

832
00:42:55,040 --> 00:43:00,799
Speaker 2: So and have you almost ever thunk.

833
00:43:01,560 --> 00:43:06,480
Speaker 3: We had? We were in some pretty heavy, heavy seas

834
00:43:07,560 --> 00:43:10,719
Speaker 3: off of San Francisco actually where this is actually a

835
00:43:10,800 --> 00:43:13,760
Speaker 3: terrible story. You know, we weren't really really in danger,

836
00:43:13,800 --> 00:43:15,839
Speaker 3: but it was the worst I've ever felt at sea

837
00:43:16,239 --> 00:43:19,240
Speaker 3: where it was a new moon, so no visual horizon,

838
00:43:19,440 --> 00:43:24,200
Speaker 3: just total darkness, and we were going directly into pretty

839
00:43:24,280 --> 00:43:27,399
Speaker 3: high seas it's like at twenty foot maybe twenty five

840
00:43:27,440 --> 00:43:30,760
Speaker 3: foot swells, so like, and I was on a cruiser,

841
00:43:30,800 --> 00:43:33,640
Speaker 3: so it was a small enough ship that you know,

842
00:43:33,719 --> 00:43:35,400
Speaker 3: you go up over top of that wave and you

843
00:43:35,480 --> 00:43:37,719
Speaker 3: crest and then the bottom drops out. And I was

844
00:43:37,800 --> 00:43:41,160
Speaker 3: on the midwatch from ten ten pm to two am,

845
00:43:42,160 --> 00:43:44,520
Speaker 3: and of course they'd serve Mongolian barbecue that night, so

846
00:43:44,560 --> 00:43:47,760
Speaker 3: everyone was just throwing up NonStop. But you know, you're you,

847
00:43:47,760 --> 00:43:49,680
Speaker 3: you go up, you ride the crest the wave, no

848
00:43:49,800 --> 00:43:52,640
Speaker 3: visual horizon, You're just waiting for it, and then bottom

849
00:43:52,719 --> 00:43:55,360
Speaker 3: drops out and you literally are in free fall for

850
00:43:55,719 --> 00:43:58,200
Speaker 3: you know, one or two seconds. You know, then you

851
00:43:58,560 --> 00:44:00,400
Speaker 3: slam hit the deck because it it was like a

852
00:44:00,760 --> 00:44:04,040
Speaker 3: fifteen to twenty foot drop. And yeah, everyone just like

853
00:44:04,080 --> 00:44:06,799
Speaker 3: hanging on and you know, the ships are built for that,

854
00:44:06,880 --> 00:44:09,279
Speaker 3: so it's not like you're in real danger. But that

855
00:44:09,440 --> 00:44:12,880
Speaker 3: felt pretty wild. And that was I've definitely never felt

856
00:44:12,880 --> 00:44:16,520
Speaker 3: worse like seasick than I have at that time, and

857
00:44:16,560 --> 00:44:16,920
Speaker 3: that was.

858
00:44:16,920 --> 00:44:21,160
Speaker 2: Just that was a shitty respect for mother nature? Is

859
00:44:21,160 --> 00:44:25,280
Speaker 2: that your you respect to see? Yeah, one hundred percent? Hunt, Yeah,

860
00:44:25,360 --> 00:44:27,359
Speaker 2: holy coy. Yeah, I was talking to a salty dog

861
00:44:27,400 --> 00:44:31,200
Speaker 2: to the day and I was interviewing him and he

862
00:44:31,360 --> 00:44:33,960
Speaker 2: said that, you know, he was in a four day

863
00:44:34,040 --> 00:44:37,120
Speaker 2: typhoon off the coast of Nam on a destroyer and

864
00:44:37,320 --> 00:44:39,879
Speaker 2: he was about to go down. Yeah, but they lived,

865
00:44:39,920 --> 00:44:42,200
Speaker 2: he said. Out of everybody on the crew, only three

866
00:44:42,239 --> 00:44:46,640
Speaker 2: were eating. Yeah, I can say that. Yeah, that's goadly

867
00:44:46,680 --> 00:44:50,239
Speaker 2: what we're talking about. You know, Holy cow, holy cow. Yeah,

868
00:44:50,239 --> 00:44:52,200
Speaker 2: the Navy. You know, I decided on the Air Force.

869
00:44:52,239 --> 00:44:55,040
Speaker 2: My dad was a Green Beret and former Navy himself. Right,

870
00:44:55,120 --> 00:44:57,839
Speaker 2: But now that I think about the Navy today as

871
00:44:57,840 --> 00:44:59,919
Speaker 2: a forty five year old, forty six year old dad,

872
00:45:00,440 --> 00:45:03,560
Speaker 2: I'm like, yeah, that sounds just like, you know, like

873
00:45:03,920 --> 00:45:06,560
Speaker 2: you know, you're playing with the ocean. Dude. It's like

874
00:45:06,640 --> 00:45:08,680
Speaker 2: these ships seem so big when they're reported, but once

875
00:45:08,719 --> 00:45:11,560
Speaker 2: you're out into the vastness of the ocean, you're just

876
00:45:11,600 --> 00:45:12,360
Speaker 2: like a toothpick.

877
00:45:12,520 --> 00:45:15,400
Speaker 3: Yeah. Absolutely, it.

878
00:45:18,000 --> 00:45:20,920
Speaker 2: Is. It is. It's amazing the technology to float on

879
00:45:21,040 --> 00:45:25,239
Speaker 2: water and dive down with ballats on submarines, and just

880
00:45:25,800 --> 00:45:28,080
Speaker 2: the Navy is bad ass. I'm just gonna say that

881
00:45:28,160 --> 00:45:32,400
Speaker 2: right now. United States Navy and all you sailors are awesome. Okay.

882
00:45:32,480 --> 00:45:34,759
Speaker 2: I just want to shout out to that Wow, that

883
00:45:34,840 --> 00:45:36,520
Speaker 2: was right inside my heart. I feel it all too.

884
00:45:37,120 --> 00:45:39,839
Speaker 2: Oh man, jeez, cause I only get to see what

885
00:45:39,880 --> 00:45:41,840
Speaker 2: like Tom Hanks shows us on the movies, or like

886
00:45:42,000 --> 00:45:45,400
Speaker 2: some kind of crazy like you know top ten, you

887
00:45:45,440 --> 00:45:48,960
Speaker 2: know sea freight, who's crossing into the water. But bro

888
00:45:49,120 --> 00:45:50,759
Speaker 2: if I can only imagine though. You know, you're a

889
00:45:50,800 --> 00:45:55,920
Speaker 2: captain with your mug and you're just like, just send it, sir,

890
00:45:56,040 --> 00:46:01,040
Speaker 2: five thousand men on board Roger. You'll see it. Turn

891
00:46:01,120 --> 00:46:04,360
Speaker 2: into it. You'll see turn into it. Let's sir, just

892
00:46:04,440 --> 00:46:04,839
Speaker 2: do it.

893
00:46:05,800 --> 00:46:08,440
Speaker 3: Yeah, some stalthy guys there that are on the run

894
00:46:08,480 --> 00:46:09,160
Speaker 3: the ships.

895
00:46:10,600 --> 00:46:12,399
Speaker 2: There is there is. Did you ever have what they

896
00:46:12,480 --> 00:46:14,240
Speaker 2: call a polywog moment?

897
00:46:15,040 --> 00:46:18,080
Speaker 3: Yep? So I did the shell back ceremony when we

898
00:46:18,239 --> 00:46:22,040
Speaker 3: crossed the equator and got my got my card and everything.

899
00:46:22,480 --> 00:46:24,399
Speaker 3: So it was a it was an.

900
00:46:24,320 --> 00:46:26,440
Speaker 2: Interesting baby that they had to kiss or is that

901
00:46:26,480 --> 00:46:28,840
Speaker 2: what I heard? Is that what I hear you that?

902
00:46:29,160 --> 00:46:31,920
Speaker 2: Or so I was? Or were you holding your coffee

903
00:46:32,000 --> 00:46:33,520
Speaker 2: mug just like looking good boys?

904
00:46:33,680 --> 00:46:38,080
Speaker 3: No, I got shell acted pretty well. It was I

905
00:46:38,120 --> 00:46:40,640
Speaker 3: think you know are at that point when it was

906
00:46:40,760 --> 00:46:46,920
Speaker 3: this must have been two thousand and two maybe, so

907
00:46:46,960 --> 00:46:49,600
Speaker 3: it was after my first deployment, but like still just

908
00:46:49,600 --> 00:46:51,960
Speaker 3: post nine to eleven. So I think at that point

909
00:46:52,000 --> 00:46:55,520
Speaker 3: it was very much like they had started removing some

910
00:46:55,560 --> 00:46:58,440
Speaker 3: of the worst parts of the ceremony, but it was

911
00:46:58,560 --> 00:47:02,400
Speaker 3: still not very comfortable, and so it's still some some

912
00:47:02,480 --> 00:47:05,080
Speaker 3: pain and discomfort involved, but it wasn't It wasn't probably

913
00:47:05,080 --> 00:47:07,400
Speaker 3: what you know, you would have gone through in like

914
00:47:07,400 --> 00:47:09,680
Speaker 3: the Vietnam era, where I think you really just got.

915
00:47:09,520 --> 00:47:11,319
Speaker 2: Like, oh, yeah, that's what I've heard. That's why. That's

916
00:47:11,320 --> 00:47:13,319
Speaker 2: where I heard the story from. Man. He's like, there

917
00:47:13,360 --> 00:47:18,160
Speaker 2: was no weight management. Yeah, so they had the biggest

918
00:47:18,160 --> 00:47:21,440
Speaker 2: guy get greased up on his belly and they all

919
00:47:21,440 --> 00:47:23,200
Speaker 2: had to like kiss his belly with the grease from

920
00:47:23,239 --> 00:47:27,719
Speaker 2: the the takeoff of the aircraft carrier, the stop put thing.

921
00:47:28,320 --> 00:47:33,000
Speaker 2: Holy cow, dude, the navy man, that's why it's though,

922
00:47:33,320 --> 00:47:35,160
Speaker 2: that's what it is. You know, I would probably have

923
00:47:35,360 --> 00:47:38,160
Speaker 2: so much tattoos, Dude, I'd be like, I've been across

924
00:47:38,160 --> 00:47:41,440
Speaker 2: the equator, I've returned home fifteen times. I have all

925
00:47:41,440 --> 00:47:42,360
Speaker 2: these birds on me.

926
00:47:44,200 --> 00:47:45,520
Speaker 3: Well, most most of the guys can.

927
00:47:45,520 --> 00:47:46,920
Speaker 2: Did you get tatted up with anything?

928
00:47:47,120 --> 00:47:51,120
Speaker 3: I didn't. I came from but I got usually a

929
00:47:51,160 --> 00:47:53,319
Speaker 3: senior officer would intervene. But do you really think that's

930
00:47:53,320 --> 00:47:56,680
Speaker 3: a good idea. I'm like yes, and they're like, no,

931
00:47:57,360 --> 00:47:58,960
Speaker 3: I get back on the ship. No.

932
00:48:00,200 --> 00:48:01,719
Speaker 2: Yeah, that'd be like my dad talking to me. Are

933
00:48:01,760 --> 00:48:03,160
Speaker 2: you sure you want to do that? You sure about that?

934
00:48:03,200 --> 00:48:09,759
Speaker 2: You're sure about that? No? Yeah, Well, listen, I've had

935
00:48:09,760 --> 00:48:11,799
Speaker 2: you for almost just about an hour of our time,

936
00:48:11,880 --> 00:48:14,200
Speaker 2: and you've been a really wonderful guest to come back,

937
00:48:14,200 --> 00:48:15,680
Speaker 2: and I'm glad that we were able to talk about,

938
00:48:15,760 --> 00:48:18,960
Speaker 2: you know, the positive services that you guys are providing

939
00:48:19,000 --> 00:48:22,279
Speaker 2: to people who need it, like in Acopoco, right and

940
00:48:22,320 --> 00:48:25,319
Speaker 2: in other warrant torn areas, and I'm sure you know,

941
00:48:25,800 --> 00:48:27,520
Speaker 2: to wind it down, I want to know, do you

942
00:48:27,560 --> 00:48:31,800
Speaker 2: feel that you'll use your stuff in the greater stuff

943
00:48:31,840 --> 00:48:34,200
Speaker 2: that's going on, like over in Gaza. Is that something

944
00:48:34,239 --> 00:48:36,120
Speaker 2: that's you know, it's a good question.

945
00:48:37,239 --> 00:48:40,520
Speaker 3: I think there's still a lot of people figuring out

946
00:48:40,640 --> 00:48:45,280
Speaker 3: how and where to use systems on the battlefield. In general,

947
00:48:45,680 --> 00:48:48,040
Speaker 3: the US and Allies have been a little slower to

948
00:48:48,200 --> 00:48:51,040
Speaker 3: use very AI driven stuff. It's been a lot of

949
00:48:51,040 --> 00:48:56,280
Speaker 3: adoption on the Russian side, the Turkish side, Chinese side,

950
00:48:56,320 --> 00:48:59,160
Speaker 3: and so I don't really know what the role is

951
00:48:59,239 --> 00:49:01,879
Speaker 3: for like hours specifically, I think you're going to see

952
00:49:01,880 --> 00:49:05,840
Speaker 3: a lot of AI driven technologies enter the battlefield shortly

953
00:49:06,320 --> 00:49:08,560
Speaker 3: driven by a lot of the you know, the war

954
00:49:08,600 --> 00:49:14,560
Speaker 3: innovation that's happening, especially around Ukraine Russia right now. I

955
00:49:14,600 --> 00:49:17,520
Speaker 3: think you know, you're seeing shield AI and you're seeing ANDERIL,

956
00:49:17,560 --> 00:49:19,680
Speaker 3: and you're seeing Skydio sort of playing in those worlds

957
00:49:19,719 --> 00:49:24,040
Speaker 3: as well. From those are like a cheaper, cheaper system side,

958
00:49:24,360 --> 00:49:27,279
Speaker 3: and I mean ANDERIL is using witering munitions and that

959
00:49:27,320 --> 00:49:29,920
Speaker 3: sort of thing, like you know, actual basically drones with

960
00:49:29,960 --> 00:49:32,239
Speaker 3: explosives on them. And so I think there's a lot

961
00:49:32,280 --> 00:49:35,520
Speaker 3: of different categories that are going to start being utilized.

962
00:49:36,600 --> 00:49:39,319
Speaker 3: I think where where you're going to see technologies like

963
00:49:39,360 --> 00:49:43,200
Speaker 3: ours the most is on logistics and i SR and

964
00:49:43,320 --> 00:49:45,640
Speaker 3: sort of getting a better sense for what's happening on

965
00:49:45,680 --> 00:49:48,279
Speaker 3: the battlefield and you know, trying to make sure that

966
00:49:48,280 --> 00:49:51,640
Speaker 3: we're not putting people into the most dangerous parts and

967
00:49:51,800 --> 00:49:53,040
Speaker 3: you know, being more effective when we.

968
00:49:55,480 --> 00:49:58,959
Speaker 2: And i SR correctly. It's international search and rescue right in.

969
00:49:58,880 --> 00:50:01,839
Speaker 3: This case an example, so in this case it's intelligence

970
00:50:01,880 --> 00:50:05,200
Speaker 3: surveillance reconnaissance and so it's the idea of trying to

971
00:50:05,200 --> 00:50:07,920
Speaker 3: get a better sense of the battlefield from an intel perspective.

972
00:50:10,760 --> 00:50:12,520
Speaker 2: All right, cool, I'm glad you corrected me. I can

973
00:50:12,600 --> 00:50:19,080
Speaker 2: always be right. That's for you, Dad, who sits on

974
00:50:19,120 --> 00:50:21,319
Speaker 2: the mantle right over there on the fireplace on every

975
00:50:21,320 --> 00:50:24,120
Speaker 2: one of these shows, looking over my shoulder. Yeah, that's right,

976
00:50:24,200 --> 00:50:28,600
Speaker 2: that's right. Okay. Well, you know the best place to

977
00:50:28,600 --> 00:50:32,720
Speaker 2: go and check out more about Xian Technologies is xian

978
00:50:32,760 --> 00:50:36,239
Speaker 2: technologies dot com. You know, and if you want to

979
00:50:36,320 --> 00:50:38,480
Speaker 2: learn more or try to put yourself out there and

980
00:50:38,520 --> 00:50:40,520
Speaker 2: set a resume because you have what it takes to

981
00:50:40,880 --> 00:50:44,200
Speaker 2: work with Ben and his crew, then do that and

982
00:50:44,320 --> 00:50:47,480
Speaker 2: he'll let you know. And do you have anything you

983
00:50:47,520 --> 00:50:49,120
Speaker 2: want to say in the last parting words before I

984
00:50:49,440 --> 00:50:50,480
Speaker 2: close out the show.

985
00:50:51,080 --> 00:50:53,880
Speaker 3: No, I appreciate the time here like you, like you

986
00:50:54,000 --> 00:50:56,040
Speaker 3: alluded to before you know, it's it's a it's a

987
00:50:56,160 --> 00:50:59,360
Speaker 3: huge shame about the the stuff that happened down in Acapoco,

988
00:50:59,640 --> 00:51:02,640
Speaker 3: and unfortunately it won't be the last of you know,

989
00:51:02,880 --> 00:51:06,120
Speaker 3: major disasters that happened. So you know, if you if

990
00:51:06,120 --> 00:51:07,920
Speaker 3: you're if you are interested in want to help in

991
00:51:07,960 --> 00:51:11,000
Speaker 3: those kind of scenarios, go for the aid organizations. They

992
00:51:11,000 --> 00:51:13,440
Speaker 3: are going to be better at coordinating getting this stuff

993
00:51:13,440 --> 00:51:16,200
Speaker 3: in in the right way, in the right order. With coordination,

994
00:51:16,760 --> 00:51:18,640
Speaker 3: then you know, sort of a grassroots thing a lot

995
00:51:18,640 --> 00:51:21,440
Speaker 3: of times. So you know, that would be my recommendation.

996
00:51:21,640 --> 00:51:23,600
Speaker 3: Try and find the right the right orgs that are

997
00:51:23,840 --> 00:51:28,279
Speaker 3: that are practiced at getting things in there, that.

998
00:51:28,239 --> 00:51:31,080
Speaker 2: Are already ready to go, Like they've already grassrooted themselves,

999
00:51:31,120 --> 00:51:33,160
Speaker 2: and they're just like they need you to supply the

1000
00:51:33,840 --> 00:51:37,640
Speaker 2: that extra manpower to them versus you trying to start

1001
00:51:37,640 --> 00:51:40,480
Speaker 2: from the ground up. You know, I get that. Hey, well,

1002
00:51:40,520 --> 00:51:42,640
Speaker 2: what a wonderful show. It's been a pleasure. I want

1003
00:51:42,680 --> 00:51:44,760
Speaker 2: to give a shout out to Lily for arranging everything.

1004
00:51:44,960 --> 00:51:49,280
Speaker 2: And I want to thank Ben Williams, former Navy officer,

1005
00:51:49,520 --> 00:51:53,680
Speaker 2: a surface warfare humanitarian and just a really nice, cool

1006
00:51:53,719 --> 00:51:57,520
Speaker 2: dude that just wants to talk about cool stuff like polywog. Okay,

1007
00:51:57,760 --> 00:52:00,440
Speaker 2: I just want to say thanks on behalf of brand Web,

1008
00:52:00,680 --> 00:52:03,960
Speaker 2: former Navy seal from the Navy. Give him a shout out.

1009
00:52:04,040 --> 00:52:06,359
Speaker 2: Go buy his book for the holidays, any of them.

1010
00:52:06,360 --> 00:52:09,080
Speaker 2: Go look up Brandon Webb and uh. I'm also on

1011
00:52:09,200 --> 00:52:11,359
Speaker 2: all the audioble for most of the books, so I'm

1012
00:52:11,360 --> 00:52:14,480
Speaker 2: the voice of Finn, go check out Chief Finn and

1013
00:52:14,680 --> 00:52:17,080
Speaker 2: uh I want to say the bookstore. Don't forget that

1014
00:52:17,160 --> 00:52:19,800
Speaker 2: we have soft Rep, dot Com, Forward Slash Book hyphen

1015
00:52:19,840 --> 00:52:23,320
Speaker 2: Club and the merch and On behalf of Ben Williams

1016
00:52:23,480 --> 00:52:25,560
Speaker 2: and Lily. This is rad say in peace.

1017
00:52:31,360 --> 00:52:33,800
Speaker 1: You've been listening to Self Rep Radio