1
00:00:00,640 --> 00:00:04,880
Speaker 1: In the world that's concreasingly dependent on technology. STEM education

2
00:00:04,920 --> 00:00:07,600
Speaker 1: is very important for the future of our kids and

3
00:00:07,720 --> 00:00:10,600
Speaker 1: future jobs, and they have basic knowledge of the computer

4
00:00:10,640 --> 00:00:13,760
Speaker 1: programming that is put forth to us everyday via your

5
00:00:13,760 --> 00:00:18,360
Speaker 1: phone tech related skills. Brothers, Harold and Hans van Cole

6
00:00:18,600 --> 00:00:21,759
Speaker 1: that's a great name, can talk organically about the experience

7
00:00:21,760 --> 00:00:25,520
Speaker 1: of getting involved with the Limitless initiative and the KRPR

8
00:00:25,640 --> 00:00:29,800
Speaker 1: robot simulative project they're helping to spearhead. The organic extra

9
00:00:29,920 --> 00:00:32,440
Speaker 1: of how they were introduced to the Limitless and why

10
00:00:32,840 --> 00:00:36,040
Speaker 1: they got involved with the project is pretty inspiring. Harold

11
00:00:36,040 --> 00:00:40,640
Speaker 1: and Hans Vancol are founders of their consulting company HV Unlimited,

12
00:00:40,760 --> 00:00:44,120
Speaker 1: where they work to help companies get into the gaming space.

13
00:00:44,479 --> 00:00:47,240
Speaker 1: They also leaders and GRAB Games, and gaming company that

14
00:00:47,400 --> 00:00:51,240
Speaker 1: creates entertainment and the vr R a R enabled platforms

15
00:00:51,520 --> 00:00:55,600
Speaker 1: games in the virtual reality all augmented reality space. Harold's

16
00:00:55,680 --> 00:00:59,760
Speaker 1: VP Creative at VP Creative at Grab Games, and Hans

17
00:00:59,880 --> 00:01:02,240
Speaker 1: is c O A GRAB Games. Please welcome to Money

18
00:01:02,280 --> 00:01:04,560
Speaker 1: Main conversation. For the very first time, they might be

19
00:01:04,760 --> 00:01:07,520
Speaker 1: I might I might be robotic Today I finished with

20
00:01:07,560 --> 00:01:13,080
Speaker 1: these guys. Harold has van Cole fella, all right for

21
00:01:13,200 --> 00:01:15,880
Speaker 1: having I'm talking to a couple of USC grads and

22
00:01:15,959 --> 00:01:18,000
Speaker 1: the heart of Los Angeles down that got a new

23
00:01:18,000 --> 00:01:20,000
Speaker 1: football coach. You know, I don't know, you know, we're

24
00:01:20,000 --> 00:01:21,840
Speaker 1: not gonna get too far with that, but I just

25
00:01:21,959 --> 00:01:25,760
Speaker 1: gotta acknowledge that football maybe back on the campus of

26
00:01:25,840 --> 00:01:30,080
Speaker 1: the university. We were there during the glory years, so

27
00:01:30,680 --> 00:01:35,240
Speaker 1: you know that's right. Well, you know, so you remember

28
00:01:35,280 --> 00:01:37,920
Speaker 1: when uh when uh, I'm just speaking off couple of

29
00:01:38,160 --> 00:01:40,600
Speaker 1: the UT game, the world of the greatest football game

30
00:01:40,640 --> 00:01:44,840
Speaker 1: I've seen in college football, the USC game. Yeah, that

31
00:01:44,840 --> 00:01:47,600
Speaker 1: that was. That was a brilliant game. This is a brilliant,

32
00:01:47,600 --> 00:01:50,600
Speaker 1: brilliant football game. If you're a fan of college football,

33
00:01:50,880 --> 00:01:54,440
Speaker 1: it's a game you always will remember. But but you guys, uh,

34
00:01:54,560 --> 00:01:56,600
Speaker 1: when I see your name Harold and Hans at this

35
00:01:56,720 --> 00:01:59,800
Speaker 1: the Hans van Cole, it sounds so European. I'm sure

36
00:01:59,800 --> 00:02:03,400
Speaker 1: you had that a lot, come fellas. Yeah, definitely always

37
00:02:03,480 --> 00:02:06,080
Speaker 1: always get asked like, oh are you German? Or how

38
00:02:06,080 --> 00:02:08,840
Speaker 1: did you get that name? And they're always they always

39
00:02:08,840 --> 00:02:10,680
Speaker 1: get disappointed when I just tell him, yeah, they my

40
00:02:10,760 --> 00:02:12,359
Speaker 1: parents saw it in the baby book and they liked

41
00:02:12,400 --> 00:02:16,040
Speaker 1: it so so Harol, how did you get your name? Then?

42
00:02:16,120 --> 00:02:19,760
Speaker 1: What baby book they saw your name? Ma'm I'm assuming

43
00:02:19,800 --> 00:02:23,600
Speaker 1: it's the same thing. But you know, my name doesn't

44
00:02:23,720 --> 00:02:28,720
Speaker 1: draw as many reactions. So but but what does draw

45
00:02:28,800 --> 00:02:31,560
Speaker 1: reaction is the fact that you guys are in the

46
00:02:31,919 --> 00:02:33,840
Speaker 1: You know, we hear the word stam being thrown out

47
00:02:33,880 --> 00:02:38,440
Speaker 1: a lot. STAM say the the America is falling backwards,

48
00:02:38,600 --> 00:02:43,359
Speaker 1: uh behind in the STAM educational platforms, and especially when

49
00:02:43,400 --> 00:02:47,559
Speaker 1: you minorities are people of color, the STAM education platform

50
00:02:47,680 --> 00:02:50,639
Speaker 1: almost becomes non existence. And then we had the pandemic

51
00:02:51,080 --> 00:02:54,239
Speaker 1: jump all over us and turn into virtual living, which

52
00:02:54,280 --> 00:02:57,280
Speaker 1: means that you have to have some clear understanding of

53
00:02:57,360 --> 00:03:00,720
Speaker 1: computer or how to use your phone for your child

54
00:03:00,760 --> 00:03:03,160
Speaker 1: to be educating. And we all know that the footprint

55
00:03:03,280 --> 00:03:06,720
Speaker 1: for Internet is not always available for people of color.

56
00:03:07,080 --> 00:03:09,160
Speaker 1: So when I say those hair, all those things, what

57
00:03:09,280 --> 00:03:12,160
Speaker 1: saddens you the most about what has happened to the

58
00:03:12,280 --> 00:03:15,280
Speaker 1: minority community the last two years with the pandemic tied

59
00:03:15,280 --> 00:03:20,760
Speaker 1: to education? I mean, that's a that's a big question.

60
00:03:21,200 --> 00:03:25,120
Speaker 1: I think you know, there's already a bit of a

61
00:03:25,200 --> 00:03:31,240
Speaker 1: divide um in terms of educational opportunities and kind of

62
00:03:31,280 --> 00:03:37,040
Speaker 1: what kids have access to UM. You know, when when

63
00:03:37,120 --> 00:03:40,960
Speaker 1: I first showed up in high school, uh, I was

64
00:03:41,200 --> 00:03:43,720
Speaker 1: I was meeting all these people. It was the first

65
00:03:43,720 --> 00:03:46,520
Speaker 1: time that I really gotten exposed to a lot of

66
00:03:46,520 --> 00:03:50,440
Speaker 1: people outside of my immediate area. Uh. And you know

67
00:03:50,720 --> 00:03:55,440
Speaker 1: they're starting in uh Spanish too, and you know, advanced

68
00:03:55,480 --> 00:03:59,640
Speaker 1: algebra and all these things. And I'm like, man, you

69
00:03:59,720 --> 00:04:03,440
Speaker 1: gotta had those classes at your school. And you know,

70
00:04:03,480 --> 00:04:07,880
Speaker 1: they had music classes and different languages and uh, you know,

71
00:04:07,960 --> 00:04:10,560
Speaker 1: computer courses and all that stuff. And it you know,

72
00:04:11,000 --> 00:04:15,080
Speaker 1: it starts so early that those diverging paths, you know,

73
00:04:15,680 --> 00:04:22,560
Speaker 1: UM and seeing that there's just different opportunities at different

74
00:04:22,600 --> 00:04:28,640
Speaker 1: schools UM can really set people way ahead or start people,

75
00:04:29,200 --> 00:04:32,880
Speaker 1: you know, behind the starting blocks. And so when you

76
00:04:32,920 --> 00:04:37,000
Speaker 1: look at that as a as a basis, UM it

77
00:04:37,080 --> 00:04:41,160
Speaker 1: only the pandemic only made it worse. Uh. You know,

78
00:04:41,200 --> 00:04:47,560
Speaker 1: it's you have these situations where you know, like I

79
00:04:47,600 --> 00:04:51,479
Speaker 1: think some like eight of kids you know at or

80
00:04:51,520 --> 00:04:56,599
Speaker 1: below the poverty line, you know, couldn't even regularly attend

81
00:04:57,360 --> 00:05:02,560
Speaker 1: there their remote classes because you know, there's situations at

82
00:05:02,600 --> 00:05:06,279
Speaker 1: home and different things going on, and you know, the

83
00:05:06,400 --> 00:05:10,040
Speaker 1: school was a place where one you knew where your

84
00:05:10,080 --> 00:05:13,440
Speaker 1: kids were gonna be and two you had people really

85
00:05:13,520 --> 00:05:17,679
Speaker 1: guiding what it was that they were doing. And so,

86
00:05:18,520 --> 00:05:21,400
Speaker 1: you know, the pandemic just kind of widened that because

87
00:05:21,440 --> 00:05:24,960
Speaker 1: now you're bringing in you know what, like you mentioned,

88
00:05:25,040 --> 00:05:27,880
Speaker 1: what Internet do they have access to? What hardware do

89
00:05:27,920 --> 00:05:30,440
Speaker 1: they have access to? Um and so you start to

90
00:05:30,480 --> 00:05:32,760
Speaker 1: see a lot of programs start to come up to

91
00:05:32,839 --> 00:05:35,320
Speaker 1: try to get hardware into the hands of kids, try

92
00:05:35,360 --> 00:05:43,000
Speaker 1: to give families, you know, better internet access, cheaper internet access,

93
00:05:43,720 --> 00:05:50,000
Speaker 1: because unfortunately, you know, economic uh you know factors really

94
00:05:50,480 --> 00:05:55,719
Speaker 1: play into the barriers that that kids have for education,

95
00:05:56,040 --> 00:05:58,239
Speaker 1: and you know, we don't think that should be the case.

96
00:05:58,960 --> 00:06:02,919
Speaker 1: Uh So the endemic just kind of widened a gap

97
00:06:03,040 --> 00:06:06,320
Speaker 1: that kind of already existed. And at the gap when

98
00:06:06,320 --> 00:06:08,479
Speaker 1: you talk about it, Hans, when you start talking about

99
00:06:08,920 --> 00:06:13,040
Speaker 1: d R, which is virtual reality and augmented reality, you

100
00:06:13,080 --> 00:06:15,599
Speaker 1: know that's if you if you're not if you're not

101
00:06:15,680 --> 00:06:17,800
Speaker 1: even on the plane of two plus two is four

102
00:06:17,960 --> 00:06:22,360
Speaker 1: equal four, then this the distance is more amazing because

103
00:06:22,760 --> 00:06:25,560
Speaker 1: what you're talking about is what we're seeing basically in

104
00:06:25,600 --> 00:06:29,000
Speaker 1: the Marvel movies. You know, there's that bringing out that life.

105
00:06:29,040 --> 00:06:31,680
Speaker 1: You know, walking into a store, you see a dinosaur

106
00:06:31,800 --> 00:06:34,320
Speaker 1: standing over you because I was fortunate or with a

107
00:06:34,400 --> 00:06:36,520
Speaker 1: contract I had with their National Guard to get into

108
00:06:36,520 --> 00:06:38,720
Speaker 1: the argument. And it's really a it's a three D

109
00:06:38,760 --> 00:06:41,720
Speaker 1: world that really exists. And I know there's some type

110
00:06:41,720 --> 00:06:44,400
Speaker 1: of programming now where I was working with this guy,

111
00:06:44,440 --> 00:06:47,240
Speaker 1: he was in London and then on my cell phone,

112
00:06:47,880 --> 00:06:50,479
Speaker 1: you know, I was able to appear like he was

113
00:06:50,560 --> 00:06:53,840
Speaker 1: on my front step with me talking. That's how advanced

114
00:06:53,839 --> 00:06:56,240
Speaker 1: this program and he's getting it's almost getting to a

115
00:06:56,320 --> 00:06:59,720
Speaker 1: version of teleporting somebody. It's almost like I teleported him

116
00:06:59,720 --> 00:07:02,839
Speaker 1: from London to my front step and on my phone

117
00:07:02,880 --> 00:07:05,080
Speaker 1: he was sitting right next to me on my on

118
00:07:05,120 --> 00:07:08,120
Speaker 1: the sofa on my front step. So how can we

119
00:07:08,200 --> 00:07:10,400
Speaker 1: catch up? Are are we? Are we fighting a game

120
00:07:10,440 --> 00:07:14,160
Speaker 1: that we won't catch up with? Horns um. I think

121
00:07:14,440 --> 00:07:19,000
Speaker 1: I think it all starts at really establishing the uh,

122
00:07:19,680 --> 00:07:23,600
Speaker 1: the knowledge set from a core level with with the

123
00:07:24,360 --> 00:07:26,880
Speaker 1: kids that are coming up and the people that are

124
00:07:26,880 --> 00:07:29,400
Speaker 1: in high school and and going to college. I think

125
00:07:30,280 --> 00:07:33,760
Speaker 1: the the main, the main piece with all of this

126
00:07:33,760 --> 00:07:38,000
Speaker 1: this technology that's that's uh you know, blowing us away

127
00:07:38,200 --> 00:07:43,160
Speaker 1: daily is at its core, it's it's a programming language

128
00:07:43,680 --> 00:07:47,640
Speaker 1: or or some some set of rules that apply across

129
00:07:48,160 --> 00:07:52,720
Speaker 1: across these different technology areas. So I think more and

130
00:07:52,760 --> 00:07:56,800
Speaker 1: more people need to understand, uh, how critical it is

131
00:07:56,840 --> 00:08:00,760
Speaker 1: to learn these skills because technology is not going away,

132
00:08:01,480 --> 00:08:05,760
Speaker 1: um as as we as we know, Um, everybody is

133
00:08:06,640 --> 00:08:12,080
Speaker 1: very dependent on on their phone, and the phone does many, many,

134
00:08:12,120 --> 00:08:15,480
Speaker 1: many things for us makes our lives a lot easier. Um,

135
00:08:15,480 --> 00:08:19,880
Speaker 1: But that's all technology. Well it's interesting because you know,

136
00:08:20,000 --> 00:08:22,400
Speaker 1: I'm just I'm you know, I'm old school. I go

137
00:08:22,480 --> 00:08:26,320
Speaker 1: back to the four train in the past, programs of days,

138
00:08:26,400 --> 00:08:29,240
Speaker 1: you know, you know, I'm like a dinosaur when I

139
00:08:29,280 --> 00:08:32,440
Speaker 1: was back there programming versus what they're doing. When you

140
00:08:32,480 --> 00:08:36,440
Speaker 1: look at augmented reality programming, what what has blown you

141
00:08:36,480 --> 00:08:38,960
Speaker 1: away the most about that? What have you seen at that?

142
00:08:39,040 --> 00:08:42,160
Speaker 1: You can tell my people are watching this or people

143
00:08:42,160 --> 00:08:45,120
Speaker 1: who are listening to this, about the future of augmenting

144
00:08:45,200 --> 00:08:49,840
Speaker 1: and why that is so powerful? Well, I mean just

145
00:08:49,840 --> 00:08:53,400
Speaker 1: just in the name itself, it's it's it's something that's

146
00:08:53,440 --> 00:08:57,840
Speaker 1: meant to improve your already existing reality. Right. So, Um,

147
00:08:58,840 --> 00:09:01,320
Speaker 1: there's there's a lot of different projects that that we've

148
00:09:01,320 --> 00:09:04,840
Speaker 1: worked on, um, A lot of which haven't been released

149
00:09:04,920 --> 00:09:07,319
Speaker 1: or that we can't talk about in details. Really we

150
00:09:07,600 --> 00:09:09,880
Speaker 1: have one of the conversations there we can't talk about

151
00:09:12,040 --> 00:09:16,880
Speaker 1: can you talk? Can you talk? Because I'll give I'll

152
00:09:16,920 --> 00:09:21,160
Speaker 1: give a little something. I mean, but you know, so

153
00:09:21,480 --> 00:09:23,600
Speaker 1: one of one of the projects that we've that we've

154
00:09:23,640 --> 00:09:28,880
Speaker 1: worked on was with the NBA where um just being

155
00:09:28,920 --> 00:09:32,960
Speaker 1: able to improve that NBA viewing experience. And one of

156
00:09:32,960 --> 00:09:37,040
Speaker 1: the things that that augmented reality presents is the ability

157
00:09:37,120 --> 00:09:41,280
Speaker 1: to deal with alumetric data. So what you were referring

158
00:09:41,320 --> 00:09:44,960
Speaker 1: to earlier about having a meeting with somebody in London

159
00:09:45,040 --> 00:09:48,160
Speaker 1: that seemingly was right next to you, you know, that's

160
00:09:48,280 --> 00:09:51,640
Speaker 1: that's a that's that was most likely a volumetric capture.

161
00:09:52,400 --> 00:09:56,959
Speaker 1: But imagine being able to do that with a tennis

162
00:09:57,000 --> 00:10:01,040
Speaker 1: match or an NBA game where on your tabletop you

163
00:10:01,080 --> 00:10:04,319
Speaker 1: can see the entire court of a of a Lakers

164
00:10:04,360 --> 00:10:08,080
Speaker 1: game and all the players are doing their highlights and

165
00:10:08,120 --> 00:10:11,000
Speaker 1: everything right in front of you, and it's it's a

166
00:10:11,040 --> 00:10:16,680
Speaker 1: completely different viewing experience. You shook your head. You still

167
00:10:16,800 --> 00:10:19,520
Speaker 1: was like an oh, You're like, yeah, yeah, I still

168
00:10:19,559 --> 00:10:22,480
Speaker 1: hadn't figured that out yet, but I'm working with Yeah,

169
00:10:22,520 --> 00:10:24,720
Speaker 1: sometimes you forget like we I mean, we've done so

170
00:10:24,800 --> 00:10:28,120
Speaker 1: much stuff. It's you know, sometimes you forget some what

171
00:10:28,320 --> 00:10:31,040
Speaker 1: some of your favorite projects were and how it's going

172
00:10:31,120 --> 00:10:34,840
Speaker 1: to evolve. Uh, the game. Like if you can imagine

173
00:10:35,200 --> 00:10:38,160
Speaker 1: a team watching film and they got to sit in

174
00:10:38,160 --> 00:10:40,560
Speaker 1: the room and watch the film. But you know, why

175
00:10:40,600 --> 00:10:44,120
Speaker 1: not walk onto a court and you know, you size

176
00:10:44,200 --> 00:10:47,520
Speaker 1: up the data and instead of watching the play, you

177
00:10:47,559 --> 00:10:51,079
Speaker 1: can relive the play. Again, Let's step through what each

178
00:10:51,120 --> 00:10:53,320
Speaker 1: person saw from their perspective, because a lot of the

179
00:10:53,320 --> 00:10:56,400
Speaker 1: times people are you know, making calls from the stands

180
00:10:56,480 --> 00:10:58,440
Speaker 1: or from the bench, but they don't see what the

181
00:10:58,440 --> 00:11:01,719
Speaker 1: players see. Um. And you can go through frame by

182
00:11:01,760 --> 00:11:05,240
Speaker 1: frame from that player's perspective and just stand there and

183
00:11:05,280 --> 00:11:08,439
Speaker 1: watch how play is developing. You know that could kind

184
00:11:08,440 --> 00:11:11,320
Speaker 1: of change the game. But um, when you start to

185
00:11:11,360 --> 00:11:14,760
Speaker 1: see you know, we all know how big sports are um.

186
00:11:15,120 --> 00:11:18,480
Speaker 1: And and you know leads like the NBA or some

187
00:11:18,559 --> 00:11:22,680
Speaker 1: of the most forward thinking uh in the world, but

188
00:11:23,520 --> 00:11:26,080
Speaker 1: you know there's always people behind the scenes bringing this

189
00:11:26,160 --> 00:11:31,319
Speaker 1: technology for it. UH. And so you know, like Hans

190
00:11:31,400 --> 00:11:34,960
Speaker 1: was saying, it all starts with exposure. UM, who's going

191
00:11:35,000 --> 00:11:38,720
Speaker 1: to be leading that charge? Uh? And like you said,

192
00:11:38,760 --> 00:11:40,480
Speaker 1: like you were talking about for a trand and dealing

193
00:11:40,559 --> 00:11:42,920
Speaker 1: with those languages, and we were doing C and C

194
00:11:43,120 --> 00:11:48,840
Speaker 1: plus plus and you know, react and all this new stuff. Um.

195
00:11:48,960 --> 00:11:51,560
Speaker 1: But you know we had to learn it in our

196
00:11:51,640 --> 00:11:54,320
Speaker 1: later years. You know, imagine what it would be like

197
00:11:54,360 --> 00:11:56,920
Speaker 1: if a kid grows up with it, right, right, It's

198
00:11:56,960 --> 00:12:01,200
Speaker 1: no different than when when kids started to grow up

199
00:12:01,200 --> 00:12:05,319
Speaker 1: with basketball. And now we're having these generational talents that

200
00:12:05,440 --> 00:12:09,400
Speaker 1: developed the skill over time. You know, the same thing

201
00:12:09,800 --> 00:12:15,640
Speaker 1: can happen with programming and learning these languages. Because you know,

202
00:12:15,720 --> 00:12:20,120
Speaker 1: when when these kids were taught the game, nobody expected

203
00:12:20,160 --> 00:12:23,400
Speaker 1: them to evolve the game they the way they did. Uh.

204
00:12:23,440 --> 00:12:26,240
Speaker 1: And when kids grow up with this coding and they

205
00:12:26,280 --> 00:12:30,000
Speaker 1: start to bring their flavor to it, um, you know,

206
00:12:30,160 --> 00:12:34,560
Speaker 1: like like we do. UM. You know, that's what's gonna

207
00:12:34,600 --> 00:12:39,840
Speaker 1: be exciting and that's what's really gonna drive the technology forward. Um.

208
00:12:39,920 --> 00:12:45,040
Speaker 1: And also you know, elevate our involvement in it because

209
00:12:46,000 --> 00:12:49,840
Speaker 1: we consume it and you know, but we're not creating

210
00:12:49,880 --> 00:12:51,880
Speaker 1: it as much as we should be, right. You know.

211
00:12:52,240 --> 00:12:54,720
Speaker 1: Really interesting that you know when I in the early

212
00:12:54,760 --> 00:12:56,880
Speaker 1: in my college life, you know, I was really in

213
00:12:56,880 --> 00:13:00,520
Speaker 1: the computer science and you know, eventually got my degree

214
00:13:00,559 --> 00:13:03,920
Speaker 1: in mathematics. Um. You know, physics had something to do

215
00:13:03,960 --> 00:13:06,800
Speaker 1: with that. I just couldn't get past physics, guys. Physics

216
00:13:07,040 --> 00:13:12,480
Speaker 1: was like problems physics. I could not get to that.

217
00:13:12,559 --> 00:13:16,480
Speaker 1: You know, the train leaves at one o'clock and the

218
00:13:16,520 --> 00:13:19,480
Speaker 1: other train leaves north at two o'clock. What time they're

219
00:13:19,480 --> 00:13:23,040
Speaker 1: a run. I could never get that exact arrival time,

220
00:13:23,559 --> 00:13:28,000
Speaker 1: so so I wouldntmit publicly. I got one fl on

221
00:13:28,240 --> 00:13:32,440
Speaker 1: my transcript with physics. Then I realized, you know something

222
00:13:33,080 --> 00:13:38,920
Speaker 1: get out of that. You know math, I went through three.

223
00:13:38,960 --> 00:13:41,240
Speaker 1: I went through Calculus one, two and three without a book,

224
00:13:41,559 --> 00:13:43,959
Speaker 1: so I knew math. I was over there fiddling around

225
00:13:43,960 --> 00:13:46,200
Speaker 1: with somebody said would be fiddling around with. But one

226
00:13:46,240 --> 00:13:49,640
Speaker 1: thing I did enjoy about computer science was that it

227
00:13:49,720 --> 00:13:52,880
Speaker 1: was like birth in life, because you you're taking an

228
00:13:52,960 --> 00:13:56,000
Speaker 1: idea and you can you can animate it, you can

229
00:13:56,000 --> 00:13:59,040
Speaker 1: redirect it, you can you can create with it. That

230
00:13:59,160 --> 00:14:01,560
Speaker 1: was the most are able part of that. You know.

231
00:14:02,040 --> 00:14:03,920
Speaker 1: The thing about it when I look at young kids,

232
00:14:03,960 --> 00:14:06,320
Speaker 1: you know, they look at entertainers, they see dollars, they

233
00:14:06,320 --> 00:14:08,440
Speaker 1: see big houses that look at you know, they look

234
00:14:08,480 --> 00:14:10,880
Speaker 1: at athletes, they see dollars, they big big houses. They

235
00:14:10,880 --> 00:14:13,240
Speaker 1: don't see the injuries to the athletes or the athletes

236
00:14:13,280 --> 00:14:15,760
Speaker 1: who don't make it to the dollars in the big houses.

237
00:14:15,840 --> 00:14:17,600
Speaker 1: So when I went to SO, I have to ask

238
00:14:17,679 --> 00:14:20,080
Speaker 1: this question, is that money to be made and what

239
00:14:20,160 --> 00:14:25,000
Speaker 1: you guys are doing very much? So absolutely, UM. I

240
00:14:25,040 --> 00:14:28,960
Speaker 1: think it's one of those things where, UM we call

241
00:14:29,000 --> 00:14:32,120
Speaker 1: it quiet money a lot of the times because it's

242
00:14:32,200 --> 00:14:35,640
Speaker 1: it when you're when we're going to meetings and we're

243
00:14:35,640 --> 00:14:39,160
Speaker 1: meeting people that are behind the scenes at a Facebook

244
00:14:39,320 --> 00:14:43,760
Speaker 1: or UM like a Google like those people aren't as

245
00:14:43,840 --> 00:14:49,840
Speaker 1: forward facing as athletes and entertainers, but those are the

246
00:14:49,880 --> 00:14:53,520
Speaker 1: people that are that are enabling the athletes and entertainers

247
00:14:54,120 --> 00:14:57,640
Speaker 1: to kind of put themselves out there. Like one of

248
00:14:57,680 --> 00:15:00,920
Speaker 1: the one of the biggest revelations that UM we would

249
00:15:00,920 --> 00:15:04,200
Speaker 1: try to tell people. It's just like, hey, um, have

250
00:15:04,320 --> 00:15:08,760
Speaker 1: you ever heard of a company UM called AWS at

251
00:15:08,800 --> 00:15:13,720
Speaker 1: Amazon Web Service and most I think just recently they

252
00:15:13,720 --> 00:15:17,160
Speaker 1: started doing commercials for the first time. For the longest time,

253
00:15:17,600 --> 00:15:21,120
Speaker 1: people that aren't in tech didn't really know what they were.

254
00:15:21,240 --> 00:15:25,240
Speaker 1: But those guys basically control what is it here about

255
00:15:25,360 --> 00:15:30,160
Speaker 1: sixty or of all the websites that that control control

256
00:15:30,240 --> 00:15:38,560
Speaker 1: my okay, definitely up there as well. As my email blast. Okaymils, Okay, yeah,

257
00:15:38,600 --> 00:15:44,080
Speaker 1: but like you said, those are the people behind the scenes, right, Like, um,

258
00:15:44,160 --> 00:15:48,600
Speaker 1: you know, there's no no knock on sports and UH

259
00:15:48,640 --> 00:15:51,240
Speaker 1: and entertainment. But I had a teacher in high school.

260
00:15:51,520 --> 00:15:54,880
Speaker 1: He used to always tell us more people get struck

261
00:15:54,920 --> 00:15:58,600
Speaker 1: by lightning every year than make it to the NBA, right,

262
00:15:58,640 --> 00:16:02,760
Speaker 1: And so you're you're talking about out you know, point

263
00:16:03,280 --> 00:16:07,560
Speaker 1: one zero zero one percent of everyone who plays basketball

264
00:16:07,640 --> 00:16:11,360
Speaker 1: can make it to to that pinnacle level. I don't

265
00:16:11,360 --> 00:16:13,480
Speaker 1: really like that comparison. I don't want to get struck

266
00:16:13,480 --> 00:16:15,800
Speaker 1: by lightning, you know, I don't want to be you know,

267
00:16:16,200 --> 00:16:20,080
Speaker 1: I understand that's a painful way to realize you can't accomplish.

268
00:16:21,120 --> 00:16:24,880
Speaker 1: But what you can always say, like I've never known

269
00:16:24,920 --> 00:16:27,640
Speaker 1: anyone that got struck by lightning, And that kind of

270
00:16:27,680 --> 00:16:31,040
Speaker 1: puts it in perspective, like, um, you don't even know

271
00:16:31,160 --> 00:16:35,480
Speaker 1: someone who knows somebody who's gotten struck by so um.

272
00:16:35,880 --> 00:16:39,040
Speaker 1: But a lot of the times that's kind of what's

273
00:16:39,080 --> 00:16:45,000
Speaker 1: fed to UH, to our communities because that's what they see,

274
00:16:45,480 --> 00:16:47,400
Speaker 1: you know, It's it's part of the it's part of

275
00:16:47,440 --> 00:16:52,840
Speaker 1: the persona of an entertainer or an athlete um to

276
00:16:53,120 --> 00:16:55,320
Speaker 1: show that stuff. It's part of the character, it's part

277
00:16:55,320 --> 00:16:57,560
Speaker 1: of you know, what they have to sell, you know,

278
00:16:58,000 --> 00:17:01,440
Speaker 1: and that's all cool. I mean, I have a crazy

279
00:17:01,440 --> 00:17:03,840
Speaker 1: sneaker collection. I love this stuff. There's artistry and if

280
00:17:03,840 --> 00:17:05,959
Speaker 1: there's all this stuff and people kind of bring their

281
00:17:06,000 --> 00:17:10,119
Speaker 1: style to it. But um, you know, the biggest, the

282
00:17:10,160 --> 00:17:14,320
Speaker 1: most outwardly facing tech person that we have right now

283
00:17:14,440 --> 00:17:20,000
Speaker 1: is probably Elon Musk because he sort of understands and

284
00:17:19,040 --> 00:17:24,639
Speaker 1: he openly smoke week right, And it's like, but but

285
00:17:24,800 --> 00:17:28,960
Speaker 1: what people, what we're trying to push is you know,

286
00:17:29,080 --> 00:17:33,240
Speaker 1: there's a lot of people in tech that make great money.

287
00:17:33,600 --> 00:17:35,840
Speaker 1: Like you know when you look at the owners of

288
00:17:35,880 --> 00:17:38,720
Speaker 1: most of these teams, and a lot of them made

289
00:17:38,760 --> 00:17:43,679
Speaker 1: money in the dot com yeah, like own Cisco and

290
00:17:43,760 --> 00:17:47,760
Speaker 1: Google and like all these different teams, like people's favorite teams,

291
00:17:47,800 --> 00:17:52,120
Speaker 1: favorite players play for teams. At these people aren't um.

292
00:17:52,200 --> 00:17:55,000
Speaker 1: And then you look at the Forbes list every year

293
00:17:55,119 --> 00:17:58,680
Speaker 1: who's the most richest people's you know, telecom people old money.

294
00:17:58,760 --> 00:18:02,840
Speaker 1: But there's a lot of people in there that our

295
00:18:02,960 --> 00:18:10,119
Speaker 1: our new money, tech money, right um. And so there's

296
00:18:10,160 --> 00:18:14,520
Speaker 1: there's a lot of pieces to that pie and all

297
00:18:14,520 --> 00:18:18,879
Speaker 1: it takes is. Uh, like like you said, exposure. Um,

298
00:18:18,960 --> 00:18:22,680
Speaker 1: but you know we we understand who we were kids once. Um.

299
00:18:22,720 --> 00:18:25,400
Speaker 1: You know we're watching Michael Jordan's on TV and were

300
00:18:25,400 --> 00:18:29,200
Speaker 1: watching the Shoes Anywhere, and we want the shoes. Um,

301
00:18:29,280 --> 00:18:32,880
Speaker 1: So you know there's something to be said about how

302
00:18:32,920 --> 00:18:36,560
Speaker 1: it's presented. Um, when we were growing up, it's like,

303
00:18:36,600 --> 00:18:39,399
Speaker 1: oh the nerds with the coding and the computers and

304
00:18:39,440 --> 00:18:44,399
Speaker 1: all that. Uh it's not so much that way anymore now, um,

305
00:18:44,440 --> 00:18:47,919
Speaker 1: but you know there's something to be said about that presentation.

306
00:18:47,960 --> 00:18:49,760
Speaker 1: So so Harry, how could that change that? How could

307
00:18:49,800 --> 00:18:52,359
Speaker 1: I could make y'all cool? Man? I cannot make y'all.

308
00:18:52,400 --> 00:18:55,440
Speaker 1: You know, the life of the party all y'all Life

309
00:18:55,480 --> 00:18:58,200
Speaker 1: of the part I just don't see it. Adds. Yeah,

310
00:18:58,280 --> 00:19:01,640
Speaker 1: I mean I think I think that peace, it's it's

311
00:19:01,720 --> 00:19:05,480
Speaker 1: a lot, a lot of that is happening. But you

312
00:19:05,520 --> 00:19:09,080
Speaker 1: know that people don't know what they do. And I

313
00:19:09,080 --> 00:19:11,800
Speaker 1: think I think a lot of what Harold and I

314
00:19:11,800 --> 00:19:15,440
Speaker 1: are trying to do is to at least get get

315
00:19:15,480 --> 00:19:20,040
Speaker 1: more exposure to the to this space, especially to two

316
00:19:20,320 --> 00:19:22,320
Speaker 1: kids at a young age, so they so they grow

317
00:19:22,400 --> 00:19:25,360
Speaker 1: up with it instead of trying to learn it. In

318
00:19:25,520 --> 00:19:27,439
Speaker 1: college saying like, hey, I have an app idea, but

319
00:19:27,480 --> 00:19:29,560
Speaker 1: I have no way of building it. Let me let

320
00:19:29,560 --> 00:19:31,439
Speaker 1: me try to take classes to to be able to

321
00:19:31,440 --> 00:19:34,320
Speaker 1: do stuff. Understanding it at a base level, just like

322
00:19:34,359 --> 00:19:37,520
Speaker 1: we understand English at a base level is what we

323
00:19:38,280 --> 00:19:42,120
Speaker 1: what we need to have, especially for for our community,

324
00:19:42,160 --> 00:19:45,800
Speaker 1: because no, we we we clearly drive a lot of

325
00:19:45,840 --> 00:19:48,919
Speaker 1: a lot of progress on the on the pops culture stage,

326
00:19:48,920 --> 00:19:51,600
Speaker 1: just in in society in general, and just being able

327
00:19:51,640 --> 00:19:55,160
Speaker 1: to further establish ourselves in an area that we don't

328
00:19:55,160 --> 00:19:57,600
Speaker 1: have to go outside of the community to get stuff done.

329
00:19:58,080 --> 00:20:00,919
Speaker 1: That that would just make make things ki rocket. Here,

330
00:20:01,119 --> 00:20:04,720
Speaker 1: we'll be right back with more Money Making Conversations Masterclass

331
00:20:04,760 --> 00:20:10,720
Speaker 1: with Rushan McDonald. Now, let's return to Money Making Conversations

332
00:20:11,000 --> 00:20:15,119
Speaker 1: Masterclass with Rashan McDonald. Well, you know, it's really really

333
00:20:15,119 --> 00:20:17,960
Speaker 1: a very serious I talked about because marketing and branded

334
00:20:18,000 --> 00:20:19,800
Speaker 1: is what I do. Both of you guys are good

335
00:20:19,800 --> 00:20:23,480
Speaker 1: looking guys. I could actually interview guys individually because you're

336
00:20:23,480 --> 00:20:26,439
Speaker 1: both were very articulate, very got something to say. As

337
00:20:26,480 --> 00:20:28,879
Speaker 1: they say, you know, y'all not want more answer, guys.

338
00:20:29,000 --> 00:20:31,480
Speaker 1: You know there Harold he lived to talk Erica talk

339
00:20:31,560 --> 00:20:34,520
Speaker 1: that he might like he might drift off a little bit,

340
00:20:34,560 --> 00:20:38,680
Speaker 1: but Harold, okay, y'all and uh but you know so

341
00:20:38,680 --> 00:20:40,040
Speaker 1: so when I look at y'all, you know, we have

342
00:20:40,240 --> 00:20:44,040
Speaker 1: Venus and Serena Williams. You know, they were two megastars

343
00:20:44,160 --> 00:20:46,720
Speaker 1: and tennis and they're leaning on each other for success.

344
00:20:47,160 --> 00:20:50,119
Speaker 1: They had somebody to turn to in a very world

345
00:20:50,119 --> 00:20:54,320
Speaker 1: as stereotype black people. You know, they went into environments

346
00:20:54,320 --> 00:20:57,199
Speaker 1: that said, okay, you here, but we're only accepting you

347
00:20:57,280 --> 00:21:01,240
Speaker 1: because of your talents as an athlete. And you guys

348
00:21:01,240 --> 00:21:04,679
Speaker 1: are walking into an environment is very stereotype driven, you know,

349
00:21:05,080 --> 00:21:07,240
Speaker 1: and some people people are really say you're not supposed

350
00:21:07,240 --> 00:21:09,560
Speaker 1: to be there, or if you're there, they don't expect

351
00:21:09,560 --> 00:21:12,000
Speaker 1: you to be able to deliver the goods. How do

352
00:21:12,080 --> 00:21:14,719
Speaker 1: you deal with that? And is it because is there

353
00:21:14,720 --> 00:21:16,600
Speaker 1: a success? A lot of your success tied of the

354
00:21:16,600 --> 00:21:21,560
Speaker 1: fact that you are siblings. Well, I mean the so

355
00:21:22,119 --> 00:21:25,040
Speaker 1: the first thing I'll say is the one thing that

356
00:21:25,119 --> 00:21:28,159
Speaker 1: I like about this field. It's a lot of it

357
00:21:28,200 --> 00:21:31,040
Speaker 1: is merit based, right can you do it or can

358
00:21:31,080 --> 00:21:34,280
Speaker 1: you not do it? And if you can do it,

359
00:21:34,880 --> 00:21:38,040
Speaker 1: and a team will accept you with open arms because

360
00:21:38,280 --> 00:21:42,840
Speaker 1: you're able to solve a problem that they need solved, right. So, um,

361
00:21:42,880 --> 00:21:46,080
Speaker 1: that's that's what kind of driven a lot of Harold

362
00:21:46,080 --> 00:21:48,760
Speaker 1: and eyes Um work ethic where it's like, hey, let's

363
00:21:48,800 --> 00:21:52,439
Speaker 1: let's figure out how to learn this stuff because we

364
00:21:52,480 --> 00:21:56,480
Speaker 1: can just walk in and instantly contribute and and we'll

365
00:21:56,520 --> 00:22:01,480
Speaker 1: be we'll get the respect that we need. Yeah, and

366
00:22:01,480 --> 00:22:04,199
Speaker 1: and also you know, but I heard Harold and Hi

367
00:22:04,400 --> 00:22:06,080
Speaker 1: Eye though you know what I'm saying. That's something that

368
00:22:06,240 --> 00:22:10,199
Speaker 1: sibling that ability to reach back and look at somebody

369
00:22:10,200 --> 00:22:12,879
Speaker 1: who had your back or be able to communicate. Do

370
00:22:12,960 --> 00:22:14,320
Speaker 1: you see what I see? Do you know what they're

371
00:22:14,320 --> 00:22:16,760
Speaker 1: talking and being able to turn to somebody can go,

372
00:22:16,960 --> 00:22:19,360
Speaker 1: hey man, let's go let's go get this straight. Let's

373
00:22:19,359 --> 00:22:21,919
Speaker 1: show them what we can do. You know, you know,

374
00:22:22,160 --> 00:22:23,280
Speaker 1: you know you know what I'm saying because I heard

375
00:22:23,320 --> 00:22:25,280
Speaker 1: them say Harold and I And that's why I was

376
00:22:25,320 --> 00:22:28,320
Speaker 1: just talking about Venus Serenia. Venus and Serena had each

377
00:22:28,359 --> 00:22:31,159
Speaker 1: other's back when people told them they couldn't do it.

378
00:22:31,240 --> 00:22:33,560
Speaker 1: And you know, I know you say the word married bass.

379
00:22:34,000 --> 00:22:36,520
Speaker 1: They were, they were number one and two in the world.

380
00:22:36,800 --> 00:22:40,200
Speaker 1: They in fact reached the finals of Grand Slam, all

381
00:22:40,240 --> 00:22:43,119
Speaker 1: four Grand Slams in one year, they wouldn't final and

382
00:22:43,160 --> 00:22:45,240
Speaker 1: they were saying that they are going to ruin tennants

383
00:22:45,400 --> 00:22:47,920
Speaker 1: because they are too dominant. So every people, everybody always

384
00:22:47,960 --> 00:22:50,480
Speaker 1: has an excuse and so and I'm not saying there's

385
00:22:50,480 --> 00:22:53,119
Speaker 1: no excuse in there. But what always frustrates me is

386
00:22:53,200 --> 00:22:57,359
Speaker 1: that you know, when you're a minority, the rules change.

387
00:22:58,200 --> 00:23:02,240
Speaker 1: You know, the rules started siding, and the acceptability and

388
00:23:02,240 --> 00:23:06,120
Speaker 1: the credibility and you accomplishments can be watered down. That's

389
00:23:06,119 --> 00:23:08,560
Speaker 1: what annoys me. And so when I when I had

390
00:23:08,560 --> 00:23:11,040
Speaker 1: an opportunity to interview you guys, I I jumped at

391
00:23:11,080 --> 00:23:14,160
Speaker 1: it because you're the You're, You're the future stars, You're

392
00:23:14,520 --> 00:23:16,600
Speaker 1: you You're the You're the space at that You're the

393
00:23:16,960 --> 00:23:19,840
Speaker 1: You're you know You're, You're out Today's hidden figures that

394
00:23:20,000 --> 00:23:21,800
Speaker 1: need to be moved to the front of the line.

395
00:23:21,960 --> 00:23:24,240
Speaker 1: Because when you were talking, because I have been fortunate

396
00:23:24,320 --> 00:23:26,879
Speaker 1: to see a version and live a version of the

397
00:23:26,960 --> 00:23:29,480
Speaker 1: last three years of what you guys are doing, and

398
00:23:29,520 --> 00:23:33,119
Speaker 1: I'm stunned. I was actually stunned when this guy was

399
00:23:33,160 --> 00:23:36,399
Speaker 1: sitting next to me on my phone, next to me

400
00:23:37,119 --> 00:23:39,119
Speaker 1: on my front porch, and I knew he was in London,

401
00:23:39,760 --> 00:23:41,760
Speaker 1: and so a lot of people can't wrap their head

402
00:23:41,800 --> 00:23:44,800
Speaker 1: around there. Harold, how does that work for you guys

403
00:23:44,840 --> 00:23:49,560
Speaker 1: being siblings? Uh? Well, you know it's funny that to

404
00:23:49,600 --> 00:23:52,040
Speaker 1: bring up being since Serena and then you know that

405
00:23:52,040 --> 00:23:55,560
Speaker 1: that movie King Richard just came out. Uh, and you

406
00:23:55,600 --> 00:24:00,240
Speaker 1: know it starts with the parents, right. The parents kind

407
00:24:00,280 --> 00:24:04,520
Speaker 1: of set us up, um and and gave us these opportunities.

408
00:24:04,560 --> 00:24:07,560
Speaker 1: But we were always really competitive. Um. I know a

409
00:24:07,560 --> 00:24:10,880
Speaker 1: lot of siblings really butt heads a lot, um, and

410
00:24:10,920 --> 00:24:13,879
Speaker 1: we did just in a competitive way. We'd be playing

411
00:24:13,960 --> 00:24:18,399
Speaker 1: video games and getting into it who's winning, and you know,

412
00:24:18,520 --> 00:24:21,360
Speaker 1: somebody would start winning for a week, then that other

413
00:24:21,400 --> 00:24:23,639
Speaker 1: one is gonna go go in the lab, you know,

414
00:24:23,840 --> 00:24:26,920
Speaker 1: try to get better. And you know, so we kept

415
00:24:27,160 --> 00:24:31,040
Speaker 1: elevating each other through our competition. Uh. And then you

416
00:24:31,080 --> 00:24:34,359
Speaker 1: know it was much easier for me because Hans was

417
00:24:34,560 --> 00:24:37,000
Speaker 1: you know, the prototype. I got to watch him. It's

418
00:24:37,040 --> 00:24:40,080
Speaker 1: like watching myself two years ahead. Um. He would go

419
00:24:40,200 --> 00:24:43,080
Speaker 1: through things and go to you know, high school, college,

420
00:24:43,119 --> 00:24:47,320
Speaker 1: the process, like all of those different things. Um, you

421
00:24:47,359 --> 00:24:49,520
Speaker 1: know he went through and I was always right there

422
00:24:49,640 --> 00:24:51,879
Speaker 1: and I could sort of see what was going on,

423
00:24:52,000 --> 00:24:53,960
Speaker 1: and I could sort of follow in those footsteps, and

424
00:24:54,000 --> 00:24:56,800
Speaker 1: I can get through much easier because it's always much

425
00:24:56,840 --> 00:24:58,760
Speaker 1: easier to do something the second time than it is

426
00:24:58,760 --> 00:25:02,960
Speaker 1: the first time. UM. And so, but we we also

427
00:25:03,000 --> 00:25:06,320
Speaker 1: work well together, like things that I'm good at, he's

428
00:25:06,359 --> 00:25:08,600
Speaker 1: better at, things that he's good at I'm better at,

429
00:25:08,680 --> 00:25:11,719
Speaker 1: and we rather than kind of diverging, we kind of

430
00:25:11,840 --> 00:25:16,640
Speaker 1: use that uh to to help elevate each other and

431
00:25:16,640 --> 00:25:20,679
Speaker 1: and bring that uh you know into the places that

432
00:25:20,760 --> 00:25:24,720
Speaker 1: we work. You know, it's just people always take a

433
00:25:24,760 --> 00:25:27,280
Speaker 1: liking to us. We're always together, and we're always trying

434
00:25:27,320 --> 00:25:29,679
Speaker 1: to just produce the best product, trying to do the

435
00:25:29,720 --> 00:25:32,240
Speaker 1: best at whatever it is that we're doing. UM. But

436
00:25:32,280 --> 00:25:34,720
Speaker 1: a lot of people don't understand, you know, going back

437
00:25:34,720 --> 00:25:37,280
Speaker 1: to what you were saying that, you know, they don't

438
00:25:37,320 --> 00:25:41,640
Speaker 1: understand how great we have to be. And I say

439
00:25:41,720 --> 00:25:45,760
Speaker 1: we as in you know, people of color, especially in

440
00:25:45,760 --> 00:25:48,639
Speaker 1: industries like these, like do you have to be great

441
00:25:48,960 --> 00:25:53,399
Speaker 1: every day just to get uh, you know, just to

442
00:25:53,480 --> 00:26:00,800
Speaker 1: get the credibility that people get for you know, being regular. Um.

443
00:26:00,960 --> 00:26:06,080
Speaker 1: And And that pushes us a lot too, because one

444
00:26:06,680 --> 00:26:09,119
Speaker 1: when we run into issues, we we kind of know

445
00:26:10,280 --> 00:26:12,840
Speaker 1: how we have to prepare that next generation. We think

446
00:26:12,840 --> 00:26:18,480
Speaker 1: that's really important. UM. But also you know, we're able

447
00:26:18,520 --> 00:26:24,959
Speaker 1: to see things from multiple different perspectives. UH. And you know,

448
00:26:25,000 --> 00:26:28,560
Speaker 1: we have friends in the industry, people of color, and

449
00:26:28,600 --> 00:26:30,639
Speaker 1: we've had we've all had these discussions and we can

450
00:26:30,680 --> 00:26:32,960
Speaker 1: see what they're dealing with, and they see what we're

451
00:26:33,000 --> 00:26:36,160
Speaker 1: dealing with, and even people we work with, UM. And

452
00:26:36,240 --> 00:26:39,960
Speaker 1: so we know how how important diversity is and we

453
00:26:40,080 --> 00:26:43,880
Speaker 1: try to foster a work environment where you know that

454
00:26:43,960 --> 00:26:47,080
Speaker 1: isn't the case. UM. So when you have a person

455
00:26:47,119 --> 00:26:51,119
Speaker 1: of color at a company that's a CEO and you

456
00:26:51,200 --> 00:26:56,359
Speaker 1: have you know, people all throughout the structure, UM. Because

457
00:26:56,400 --> 00:26:59,080
Speaker 1: getting getting people of color into these companies the one thing,

458
00:26:59,119 --> 00:27:03,959
Speaker 1: but how far do they go? UM? And so that

459
00:27:03,960 --> 00:27:06,240
Speaker 1: that's been a mission of ours. And we've had the

460
00:27:06,280 --> 00:27:11,360
Speaker 1: full support of you know, our CEO, our board UM,

461
00:27:11,520 --> 00:27:13,560
Speaker 1: and they give us an opportunity to just do what

462
00:27:13,600 --> 00:27:18,439
Speaker 1: we do, but also too to help bring others up

463
00:27:18,480 --> 00:27:22,280
Speaker 1: as well. UH. And so you know that's that's constantly

464
00:27:22,320 --> 00:27:26,200
Speaker 1: the mission, UM, is to to kind of expose that.

465
00:27:26,760 --> 00:27:30,399
Speaker 1: And when people see us as a team, UM, you

466
00:27:30,480 --> 00:27:34,040
Speaker 1: know one, you know, they are surprised that brothers can

467
00:27:34,080 --> 00:27:37,760
Speaker 1: work so well together. But also it's just another person

468
00:27:37,840 --> 00:27:40,600
Speaker 1: that made it right, that that's doing what it is

469
00:27:40,600 --> 00:27:43,520
Speaker 1: that we do um and we can spread our wings

470
00:27:43,520 --> 00:27:47,359
Speaker 1: further that way rather than trying to hold each other back.

471
00:27:48,000 --> 00:27:51,639
Speaker 1: We'll be right back with more Money Making Conversations Masterclass

472
00:27:51,640 --> 00:27:57,640
Speaker 1: with Rushan McDonald. Now let's return to Money Making Conversations

473
00:27:57,920 --> 00:28:02,600
Speaker 1: Masterclass with Rushan mcdone. I'm talking to Harold and the Hans.

474
00:28:03,320 --> 00:28:05,719
Speaker 1: They're the because I want to say, two dominant voices

475
00:28:06,119 --> 00:28:10,439
Speaker 1: and the augmented world and also the virtual reality the world. Hey, guys,

476
00:28:10,480 --> 00:28:12,600
Speaker 1: you know, I just want to say, man, this this

477
00:28:12,720 --> 00:28:15,000
Speaker 1: interview is a It's a good interview for me, but

478
00:28:15,080 --> 00:28:17,800
Speaker 1: it's I gotta bring you all back individually because of

479
00:28:17,840 --> 00:28:21,040
Speaker 1: the fact that your stories are just uniquely as the

480
00:28:21,080 --> 00:28:24,080
Speaker 1: pairing of you guys being siblings, because your journeys are different,

481
00:28:24,119 --> 00:28:26,800
Speaker 1: like I said, two years separated, but it also tells

482
00:28:26,800 --> 00:28:30,399
Speaker 1: a different tale of how you approach this whole world,

483
00:28:30,680 --> 00:28:33,400
Speaker 1: you know, but then but then join it. The hip thing,

484
00:28:33,560 --> 00:28:36,520
Speaker 1: that sibling thing is powerful, man, and don't let nobody

485
00:28:36,560 --> 00:28:38,880
Speaker 1: break it. But more importantly, I'm just happy you guys

486
00:28:38,880 --> 00:28:41,480
Speaker 1: took the time to come on Money Making Conversation masterclass,

487
00:28:41,920 --> 00:28:45,960
Speaker 1: because what y'all doing is something that I have I've

488
00:28:45,960 --> 00:28:48,360
Speaker 1: lived all my life. Sometimes when I tell people have

489
00:28:48,400 --> 00:28:50,000
Speaker 1: a mathew, if I tell people got a math degree

490
00:28:50,040 --> 00:28:53,320
Speaker 1: of the day, they go WHOA. So I know what

491
00:28:53,360 --> 00:28:56,000
Speaker 1: I've accomplished in my past still carries a lot of

492
00:28:56,000 --> 00:28:59,760
Speaker 1: weight forty years later. And so, and with that being said,

493
00:29:00,200 --> 00:29:02,240
Speaker 1: you guys are in the middle of it. My daughter,

494
00:29:02,720 --> 00:29:05,240
Speaker 1: she's her degree is gonna be in game design, So

495
00:29:05,280 --> 00:29:07,880
Speaker 1: I'm gonna I'm gonna get to watch her venture into

496
00:29:07,920 --> 00:29:11,280
Speaker 1: your world and also get her to hopefully become a

497
00:29:11,320 --> 00:29:14,280
Speaker 1: star in your world because you know, daddy, don't, don't

498
00:29:14,360 --> 00:29:18,000
Speaker 1: don't play the stereotype game. You know. I'm I'm I'm

499
00:29:18,200 --> 00:29:21,120
Speaker 1: gonna break through the glass ceiling type guy. I do

500
00:29:21,240 --> 00:29:24,280
Speaker 1: it through um diplomacy, I do, but I do it

501
00:29:24,280 --> 00:29:27,160
Speaker 1: through also being organized and have a plan of action.

502
00:29:27,720 --> 00:29:29,600
Speaker 1: You guys have done it with your plan of action.

503
00:29:29,880 --> 00:29:31,280
Speaker 1: I want to thank you all for coming on money

504
00:29:31,320 --> 00:29:35,000
Speaker 1: making conversation. Man. Y'all incredible by the way. Yeah, and

505
00:29:35,080 --> 00:29:38,080
Speaker 1: you know it's it's cool as you say that too. Um,

506
00:29:38,120 --> 00:29:41,400
Speaker 1: there's a lot of people that we've we've dealt with. UM.

507
00:29:41,680 --> 00:29:45,200
Speaker 1: You mentioned Kipper and Limitless at the beginning of the show,

508
00:29:45,240 --> 00:29:48,760
Speaker 1: and that's kind of what started to drive this mission

509
00:29:48,760 --> 00:29:52,080
Speaker 1: even more. Uh. You know, we're showing some uh we

510
00:29:52,160 --> 00:29:55,240
Speaker 1: got called in to show some kids some virtual reality stuff,

511
00:29:55,680 --> 00:29:58,520
Speaker 1: some of the games that we're working on. And we

512
00:29:58,680 --> 00:30:03,280
Speaker 1: walked in and we see a team of kids, um,

513
00:30:03,320 --> 00:30:06,400
Speaker 1: you know, in this Limitless program and they're all coding

514
00:30:07,080 --> 00:30:11,720
Speaker 1: and I'm talking like second grade, third grade, fourth grade, right,

515
00:30:12,080 --> 00:30:14,880
Speaker 1: and their coding and you know, we're learning about these

516
00:30:14,960 --> 00:30:18,720
Speaker 1: kids and we were more amazed by them than they

517
00:30:18,760 --> 00:30:21,360
Speaker 1: were by us. And we're watching these kids. They've been

518
00:30:21,480 --> 00:30:26,280
Speaker 1: entering these robotics competitions, getting better every year. Uh, and

519
00:30:26,320 --> 00:30:31,480
Speaker 1: they're using this the Kipper curriculum, um. And we're like, yo,

520
00:30:31,600 --> 00:30:35,120
Speaker 1: how do we get this to more people? You know?

521
00:30:35,520 --> 00:30:40,080
Speaker 1: And so uh we started working with them to uh

522
00:30:40,280 --> 00:30:44,760
Speaker 1: to build this robot simulator that can teach a kid

523
00:30:45,320 --> 00:30:49,760
Speaker 1: how to code without being in a classroom. Right. We

524
00:30:49,800 --> 00:30:52,720
Speaker 1: know kids are playing video games. You say, your daughters

525
00:30:52,720 --> 00:30:55,600
Speaker 1: in the game design she I'm pretty sure she she

526
00:30:55,680 --> 00:31:01,000
Speaker 1: plays video game that's kids in off the right. Then

527
00:31:01,040 --> 00:31:05,479
Speaker 1: we're like, how can we pulling this curriculum, you know,

528
00:31:05,560 --> 00:31:08,920
Speaker 1: put the medicine in with the candy and teach them

529
00:31:09,000 --> 00:31:11,960
Speaker 1: how to code was something that they want to do anyway.

530
00:31:12,000 --> 00:31:16,280
Speaker 1: So now we're not chasing them to go into a classroom,

531
00:31:16,320 --> 00:31:18,719
Speaker 1: you know, we're saying, hey, just play this game, you know,

532
00:31:18,800 --> 00:31:22,720
Speaker 1: play with your friends, play online, go through uh these missions,

533
00:31:22,760 --> 00:31:26,440
Speaker 1: go through these challenges, go through the story, and before

534
00:31:26,480 --> 00:31:30,760
Speaker 1: they know it, they're solving problems coding. Right. And so

535
00:31:30,800 --> 00:31:34,640
Speaker 1: this this robot simulator that that we're working on, that

536
00:31:34,680 --> 00:31:39,800
Speaker 1: we're raising money for, we think and it's specifically targeted uh,

537
00:31:39,880 --> 00:31:43,440
Speaker 1: you know, two people of color, inner city kids, uh,

538
00:31:43,480 --> 00:31:47,400
Speaker 1: you know, make reducing that barrier to entry so that

539
00:31:47,520 --> 00:31:50,480
Speaker 1: people understand, like, hey, this is gonna be like a

540
00:31:50,520 --> 00:31:53,280
Speaker 1: second language to them, just like social media. Like kids

541
00:31:53,280 --> 00:31:57,120
Speaker 1: growing up with social media, they can run circles around, um,

542
00:31:57,160 --> 00:32:00,640
Speaker 1: the old people trying to be on something media. Right. Um.

543
00:32:00,680 --> 00:32:04,360
Speaker 1: So if we can get this simulator into these schools,

544
00:32:04,400 --> 00:32:07,720
Speaker 1: into people's hands and have kids go through this curriculum

545
00:32:07,880 --> 00:32:12,880
Speaker 1: without necessarily realizing, they're going through a tried and true curriculum,

546
00:32:12,960 --> 00:32:16,240
Speaker 1: and we feel like we can start to to plant

547
00:32:16,240 --> 00:32:20,040
Speaker 1: the seeds uh in our communities and and kids are

548
00:32:20,040 --> 00:32:23,960
Speaker 1: gonna you know, grow these skills and and really uh

549
00:32:24,240 --> 00:32:29,680
Speaker 1: start to increase our our power in this industry, our

550
00:32:29,800 --> 00:32:33,640
Speaker 1: presence in this industry. So you know, if we can

551
00:32:33,680 --> 00:32:36,240
Speaker 1: get more kids in tech, more kids in video games,

552
00:32:36,240 --> 00:32:39,120
Speaker 1: and we'll be able to tell our stories and uh

553
00:32:39,320 --> 00:32:42,480
Speaker 1: create the tech of the future. So you know when

554
00:32:43,200 --> 00:32:46,320
Speaker 1: we still read about oh you watch this stream or

555
00:32:46,360 --> 00:32:48,680
Speaker 1: you watch certain things that you do, certain things like

556
00:32:48,720 --> 00:32:52,280
Speaker 1: oh that was created co created by a black person,

557
00:32:52,360 --> 00:32:55,040
Speaker 1: or that was created by this person like you said

558
00:32:55,040 --> 00:32:59,680
Speaker 1: the hidden figures, um and yeah, all right, are you

559
00:32:59,720 --> 00:33:06,000
Speaker 1: just let her hard talk? Man? You talk for three

560
00:33:06,000 --> 00:33:07,800
Speaker 1: straight minutes. I just want that to I told he

561
00:33:07,800 --> 00:33:11,440
Speaker 1: could talk, boy and anybody to go on. He about

562
00:33:11,480 --> 00:33:14,239
Speaker 1: to go on, but I appreciate that about that. I

563
00:33:14,240 --> 00:33:16,800
Speaker 1: gotta bring you all by separately. Han, I want you

564
00:33:16,840 --> 00:33:18,680
Speaker 1: to I want you to to. You wanted to say

565
00:33:18,680 --> 00:33:22,040
Speaker 1: a couple of things because Harold, that motivation and inspiration

566
00:33:22,320 --> 00:33:24,400
Speaker 1: come and to you the man. You know, you know,

567
00:33:24,480 --> 00:33:26,959
Speaker 1: I'm I'm you know I would I would. I graduated

568
00:33:27,000 --> 00:33:30,360
Speaker 1: high school in nineteen seventy six, Okay, and so it

569
00:33:30,440 --> 00:33:33,000
Speaker 1: took me seven years to graduate from college because I

570
00:33:33,000 --> 00:33:34,640
Speaker 1: didn't know what I wanted to do. When I look

571
00:33:34,680 --> 00:33:37,720
Speaker 1: at my daughter in game design, she doesn't listen to

572
00:33:37,720 --> 00:33:39,959
Speaker 1: the music I listened to. She can't care less about dancing,

573
00:33:40,240 --> 00:33:43,200
Speaker 1: she can look at listen about being social. She's focused.

574
00:33:43,240 --> 00:33:47,040
Speaker 1: You can't care less about the walking around in Taylor clothes.

575
00:33:47,160 --> 00:33:50,800
Speaker 1: You know what I'm saying. She her phone works, she

576
00:33:50,840 --> 00:33:53,840
Speaker 1: got she got uh, you know, a surface, she got

577
00:33:53,880 --> 00:33:57,680
Speaker 1: an iPhone, she got a laptop that she does all

578
00:33:57,720 --> 00:33:59,920
Speaker 1: her game design. And she has a MacBook so she

579
00:34:00,040 --> 00:34:01,880
Speaker 1: got all the tekens. So she's happy. Is she can

580
00:34:01,920 --> 00:34:04,480
Speaker 1: be because she she can do an edit and everything.

581
00:34:04,960 --> 00:34:06,560
Speaker 1: But the numb more thing that when you look at

582
00:34:06,560 --> 00:34:09,480
Speaker 1: these things hard, you know, when you when you realize

583
00:34:09,520 --> 00:34:12,719
Speaker 1: that you you you stepped out into a world that

584
00:34:12,880 --> 00:34:16,000
Speaker 1: was so different than what was expected of you. What

585
00:34:16,160 --> 00:34:21,640
Speaker 1: makes you smile? I mean just just being able to enjoy,

586
00:34:21,840 --> 00:34:24,719
Speaker 1: like what what what you're doing? Like at the at

587
00:34:24,760 --> 00:34:27,440
Speaker 1: the core of all of this right now, it's like

588
00:34:27,880 --> 00:34:31,919
Speaker 1: I grew up playing games. I love I love playing games. Uh.

589
00:34:32,000 --> 00:34:36,000
Speaker 1: It's it's an escape, but it's also an avenue for

590
00:34:36,719 --> 00:34:40,720
Speaker 1: problems like learning, problem solving, improving yourself, keeping your mind sharp.

591
00:34:41,120 --> 00:34:43,960
Speaker 1: And I think it's getting to the point where more

592
00:34:44,040 --> 00:34:47,000
Speaker 1: and more of the mainstream is realizing the benefits of

593
00:34:47,480 --> 00:34:51,719
Speaker 1: that kind of interaction and the fact that we can

594
00:34:51,880 --> 00:34:54,520
Speaker 1: use that as a as a way to teach people

595
00:34:54,680 --> 00:34:57,440
Speaker 1: at a younger age that there's value in this and

596
00:34:57,480 --> 00:35:00,279
Speaker 1: that it can be valuable from a fund stand point,

597
00:35:00,320 --> 00:35:03,040
Speaker 1: and it can be valuable from a career standpoint. Being

598
00:35:03,040 --> 00:35:06,920
Speaker 1: able to go to work and enjoy what you do

599
00:35:07,600 --> 00:35:10,200
Speaker 1: and be able to share that with people on a

600
00:35:10,320 --> 00:35:14,719
Speaker 1: on a grand scale, it's just exciting and you know,

601
00:35:14,840 --> 00:35:16,919
Speaker 1: just being able to take the workout off and then

602
00:35:16,920 --> 00:35:20,680
Speaker 1: still enjoy enjoy that that piece from a from a

603
00:35:20,760 --> 00:35:23,840
Speaker 1: just I'm just relaxing and just wanna I want to

604
00:35:23,960 --> 00:35:27,200
Speaker 1: escape for a bit, right. It's great. You know, guys,

605
00:35:27,239 --> 00:35:29,000
Speaker 1: I'm talking to uh. If you want to put a

606
00:35:29,120 --> 00:35:32,560
Speaker 1: sports comparison, talking to the Michael Jordan and Lebron of

607
00:35:32,600 --> 00:35:34,840
Speaker 1: what they do, just put put the right hats on

608
00:35:34,880 --> 00:35:37,000
Speaker 1: it to see. As I wrap up to you, I

609
00:35:37,000 --> 00:35:39,760
Speaker 1: hate when people, when I meet people like these two guys,

610
00:35:39,960 --> 00:35:42,160
Speaker 1: they said, you know, we were just playing video game.

611
00:35:42,480 --> 00:35:44,560
Speaker 1: I'm just doing what I love. I'm gonna tell you something.

612
00:35:44,800 --> 00:35:47,399
Speaker 1: I could play video game, but it reached the point

613
00:35:47,440 --> 00:35:50,759
Speaker 1: where my skills set love. What's gonna keep it going?

614
00:35:51,280 --> 00:35:53,800
Speaker 1: I just had the skill set and I didn't happen.

615
00:35:54,160 --> 00:35:57,040
Speaker 1: So I always have to push people back like YouTube

616
00:35:57,360 --> 00:35:59,720
Speaker 1: and let y'all know how brilliant you are and how

617
00:36:00,080 --> 00:36:04,480
Speaker 1: different y'all are. Y'all can be in awe because at

618
00:36:04,520 --> 00:36:06,920
Speaker 1: the at a young age, you're seeing what if I

619
00:36:06,960 --> 00:36:09,200
Speaker 1: could have done that at their age, what I could

620
00:36:09,239 --> 00:36:12,920
Speaker 1: have been at my age. That's the all part that y'are.

621
00:36:13,400 --> 00:36:17,520
Speaker 1: But what's making it possible is that they can see y'all. Y'all,

622
00:36:17,640 --> 00:36:20,200
Speaker 1: y'all in results now. So I didn't have an end

623
00:36:20,200 --> 00:36:23,200
Speaker 1: results like you guys when I was playing game. I

624
00:36:23,200 --> 00:36:26,000
Speaker 1: didn't have a haunt and a herald to go. Man,

625
00:36:26,000 --> 00:36:28,720
Speaker 1: I could be like those two guys. Look at him, Wow,

626
00:36:28,840 --> 00:36:31,319
Speaker 1: they look just like me. So know that when I

627
00:36:31,360 --> 00:36:33,040
Speaker 1: say that, I don't say that in a in a

628
00:36:33,120 --> 00:36:36,719
Speaker 1: joking manner. I'm just labeling y'all correctly. Man, when you

629
00:36:36,800 --> 00:36:39,680
Speaker 1: stand out in the field, that separates you. When I

630
00:36:39,719 --> 00:36:43,120
Speaker 1: look at that, I look at Lebron on that Tonal commercial,

631
00:36:43,560 --> 00:36:45,759
Speaker 1: bro the thirty years, My body didn't look like that.

632
00:36:45,880 --> 00:36:48,319
Speaker 1: The thirty eight Come on that, y'all body probably don't

633
00:36:48,360 --> 00:36:50,479
Speaker 1: look like that now. Okay, they look gonna be weird.

634
00:36:51,080 --> 00:36:56,120
Speaker 1: You know, you know Jordan, you know he still has

635
00:36:56,200 --> 00:36:59,560
Speaker 1: the most popular shoe basketball shot out there, Michael Jordan.

636
00:37:00,080 --> 00:37:03,960
Speaker 1: It's almost sixty and so being relevant and uh, I

637
00:37:04,040 --> 00:37:07,879
Speaker 1: just want to tell you, man, do not undersetill y'all brilliance. Man,

638
00:37:08,040 --> 00:37:11,759
Speaker 1: you guys can share that little corny story that we're

639
00:37:11,760 --> 00:37:15,919
Speaker 1: just doing what we love. Now, y'all have beyond doing

640
00:37:15,960 --> 00:37:20,800
Speaker 1: what you love because love. I love to play video games,

641
00:37:21,160 --> 00:37:24,080
Speaker 1: but it hit I hit a wall with my talents,

642
00:37:24,080 --> 00:37:26,240
Speaker 1: just like I hit a wall with my talents with physics,

643
00:37:26,440 --> 00:37:28,880
Speaker 1: and I had to go to a different direction. God

644
00:37:28,920 --> 00:37:31,520
Speaker 1: gave y'all a gift, man, and I'm I'm I'm gonna

645
00:37:31,520 --> 00:37:34,360
Speaker 1: stick with y'all. Man, I'm gonna standing communication with you

646
00:37:34,400 --> 00:37:36,720
Speaker 1: guys to brother. I want to be there when y'all

647
00:37:36,800 --> 00:37:39,840
Speaker 1: start breaking the next ceiling of opportunity for people of color,

648
00:37:40,280 --> 00:37:43,359
Speaker 1: my daughter, everybody, because y'all the next stars, man, y'all,

649
00:37:43,400 --> 00:37:46,040
Speaker 1: the next future. You know, when y'all get fifty, man,

650
00:37:46,080 --> 00:37:48,760
Speaker 1: you know, y'all, y'all, y'all, they're gonna have award shows

651
00:37:48,800 --> 00:37:53,000
Speaker 1: with y'all with trouthes with y'all names on them. Okay, okay,

652
00:37:53,360 --> 00:37:57,000
Speaker 1: I appreciate it. Now hopefully, hopefully, you know, the people

653
00:37:57,120 --> 00:37:59,360
Speaker 1: that are giving us those awards are people that we

654
00:37:59,520 --> 00:38:03,960
Speaker 1: help get said. Oh, don't worry, brother, You know, you

655
00:38:03,960 --> 00:38:06,279
Speaker 1: know my life has been interested man, because you know,

656
00:38:07,000 --> 00:38:09,719
Speaker 1: I had a birthday the other day, and you know,

657
00:38:09,920 --> 00:38:12,399
Speaker 1: and you know, people always text me, man, thank me

658
00:38:13,160 --> 00:38:15,400
Speaker 1: saying what I did for their lives, what they like,

659
00:38:15,600 --> 00:38:17,800
Speaker 1: how I made a difference in there, And I was

660
00:38:17,840 --> 00:38:20,320
Speaker 1: just being Rashawn, you know, just like I'm being Rashawn

661
00:38:20,360 --> 00:38:22,480
Speaker 1: with you guys right now. I'm gonna tell you how

662
00:38:22,520 --> 00:38:24,400
Speaker 1: I think you can take it however you want to

663
00:38:24,400 --> 00:38:27,320
Speaker 1: take it. But I'm telling you the truth. Stop acting

664
00:38:27,400 --> 00:38:31,560
Speaker 1: like y'all regular be the stars who y'all are. Y'all

665
00:38:31,600 --> 00:38:36,840
Speaker 1: are doing stuff. Man, I can only just admire. I can't.

666
00:38:36,920 --> 00:38:39,400
Speaker 1: I can't even cover here. I can pick up this phone,

667
00:38:39,680 --> 00:38:41,520
Speaker 1: I can dial it, but like y'all can take this

668
00:38:41,520 --> 00:38:43,680
Speaker 1: phone and do something else with and I go, really,

669
00:38:43,760 --> 00:38:47,680
Speaker 1: that's the same phone I got. Wow. So I'm just

670
00:38:47,719 --> 00:38:50,440
Speaker 1: telling you exercise your brilliance and don't let it be

671
00:38:50,520 --> 00:38:53,279
Speaker 1: understood by anybody, even in an interview. And it's and

672
00:38:53,440 --> 00:38:56,600
Speaker 1: it's the thing I do I call bragging acknowledging your greatness.

673
00:38:57,600 --> 00:39:00,759
Speaker 1: Continue to acknowledge your greatness fellows, because you're all very

674
00:39:00,840 --> 00:39:03,520
Speaker 1: very special. Thank if you coming on Money Making Conversation Masterclass.

675
00:39:03,560 --> 00:39:17,000
Speaker 1: Appreciate job, H