#192 - When AI Lies: The Hidden Risk No One Is Talking About | Arthur Miller

1
00:00:00,034 --> 00:00:06,524
Business owners and tech people really need to start focusing in on the quantum encryption
space.

2
00:00:06,524 --> 00:00:11,220
Every system worth protecting needs to get to that as soon as possible.

3
00:00:25,487 --> 00:00:26,097
All right, you all.

4
00:00:26,097 --> 00:00:28,199
Welcome back for another episode today.

5
00:00:28,199 --> 00:00:35,423
You better get your brain ready because we're going to be talking about tech, science,
coding, and yes, the world of entrepreneurship where it all engages.

6
00:00:35,423 --> 00:00:46,669
So today's guest is a seasoned enterprise technology leader with more than three decades
of experience helping organizations design and scale complex systems that support business

7
00:00:46,669 --> 00:00:47,920
transformation.

8
00:00:47,920 --> 00:00:50,281
I'm pumped about that part of the conversation.

9
00:00:50,361 --> 00:00:53,667
As an enterprise architect and technological advisor,

10
00:00:53,667 --> 00:00:56,928
He's focused on aligning technical strategy and business outcomes.

11
00:00:56,928 --> 00:00:57,808
That's big.

12
00:00:57,808 --> 00:01:05,491
We're gonna talk for hours, I think, Arthur, but building resilient and secure
architectures and fostering innovation without sacrificing trust and integrity.

13
00:01:05,491 --> 00:01:06,241
This is big.

14
00:01:06,241 --> 00:01:10,792
And the reason why this is so important with AI and what's happening in tech, there is so
much that needs to come into this.

15
00:01:10,792 --> 00:01:11,922
What's right for society.

16
00:01:11,922 --> 00:01:13,873
So I'm pumped to dig deep into that.

17
00:01:13,873 --> 00:01:20,975
And then also Arthur's work spans digital transformation, enterprise architecture strategy
and leadership in technology at scale.

18
00:01:20,975 --> 00:01:23,875
I don't know if I said too much or what that means, but damn it.

19
00:01:23,875 --> 00:01:25,435
Welcome Arthur Miller.

20
00:01:25,435 --> 00:01:28,675
Cause I might've confused myself from that whole intro.

21
00:01:30,615 --> 00:01:31,595
Yeah, man.

22
00:01:31,595 --> 00:01:45,063
So what's happening in your world going from being an employee, being an engineer, the
world of CEO, but what's happening in tech in 2026 that has caused this evolution of you.

23
00:01:45,367 --> 00:01:47,628
Yeah, there's quite a bit actually.

24
00:01:47,628 --> 00:01:51,660
uh Some of this stems from just the necessity.

25
00:01:51,660 --> 00:01:59,533
So um I'm predominantly in the fintech space, although I do um work in other spaces like
medtech and e-commerce.

26
00:01:59,533 --> 00:02:11,878
But some of the things that I've noticed is, um one, core integrations in the banking
systems is very difficult and kind of pigeonholes financial organizations, especially the

27
00:02:11,878 --> 00:02:15,339
traditional ones, um larger to mid

28
00:02:15,347 --> 00:02:22,833
institutions that aren't quite as nimble anymore and very difficult to navigate
innovation.

29
00:02:22,833 --> 00:02:31,941
uh One of the things that's stemming out right now is the need to be post-quantum
encryption compliant.

30
00:02:31,941 --> 00:02:36,905
So that's something that I'm bringing to the table with my newest company right now called
FICUS.

31
00:02:36,905 --> 00:02:45,321
uh We're going to build that bridge for financial institutions to allow them to be
post-quantum encryption compliant.

32
00:02:45,756 --> 00:02:53,987
um

33
00:02:53,987 --> 00:02:59,672
Yeah, so um from the very uh average brain, because that's not you.

34
00:02:59,672 --> 00:03:00,582
You got things happen.

35
00:03:00,582 --> 00:03:07,988
So for the average brain and my average brain listeners that are trying to do bigger
things, what does post quantum encryption mean?

36
00:03:07,988 --> 00:03:09,423
What's that mean to us?

37
00:03:09,423 --> 00:03:17,583
Yeah, so basically there's about to be a new wave, massive wave of technology innovation
that comes out.

38
00:03:17,583 --> 00:03:22,323
I would say so much so that it may even dwarf AI.

39
00:03:22,623 --> 00:03:29,183
And that's basically quantum computers and a massive spike in computational power
achievement.

40
00:03:29,403 --> 00:03:33,063
With that, you have to look at attack vectors.

41
00:03:33,263 --> 00:03:39,483
So we have data in transit, data at rest, and that data is encrypted.

42
00:03:39,803 --> 00:03:51,953
for very important reasons and you're talking about all of your PII or personal data, um
whether that's financial institutions, passwords, your personal data that's stored in

43
00:03:51,953 --> 00:03:53,574
really any system.

44
00:03:53,795 --> 00:03:57,778
I'm just, for me in particular, focused on the financial industry.

45
00:03:57,778 --> 00:04:08,599
But anyway, um the amount of computational power that's going to be available soon and
pretty much uh is starting to be now, uh

46
00:04:08,599 --> 00:04:16,172
traditional computing and with that we can start to crack passwords and encryption layers
much, much faster.

47
00:04:16,172 --> 00:04:22,185
So what may take, you know, a thousand years to crack right now, tomorrow may take 15
minutes.

48
00:04:22,185 --> 00:04:27,077
So we have to hurry up and address those things before breaches start happening.

49
00:04:27,077 --> 00:04:29,387
So it's a very serious matter.

50
00:04:29,748 --> 00:04:38,421
Not a lot of people are well aware of it, but I think within the deep tech industry,
everybody has that in the back of their mind right now.

51
00:04:38,553 --> 00:04:44,134
Does it feel like you're at business and tech war on the front lines?

52
00:04:45,709 --> 00:04:46,429
Absolutely.

53
00:04:46,429 --> 00:04:49,291
um It's a constant.

54
00:04:49,291 --> 00:04:58,437
You're always trying to deliver something that much more secure, that much better, that
much more efficient than...

55
00:04:58,687 --> 00:05:05,101
Of course, there's regular business competition, but still stark and still, that's a
positive and that's a win in my opinion.

56
00:05:05,122 --> 00:05:06,803
So competition is great.

57
00:05:06,803 --> 00:05:12,346
um Where it comes to not be as great is when it's malicious actors or bad guys.

58
00:05:12,346 --> 00:05:13,517
um

59
00:05:13,517 --> 00:05:20,499
you know, on the other side of the wire trying to breach or trying to, you know, commit
cyber crimes and things like that.

60
00:05:20,499 --> 00:05:26,185
And that's where we have to exercise caution and do our utmost to be able to defend
against that.

61
00:05:26,223 --> 00:05:28,704
As you build this, what's your biggest worry?

62
00:05:28,704 --> 00:05:33,686
You know how so often we do these SWOT analysis as you're building your company.

63
00:05:33,746 --> 00:05:36,107
What keeps you up on what you're building?

64
00:05:36,107 --> 00:05:41,730
Not just what's happening in the world, but what keeps you up about your new business and
what you're doing and the impact you're making?

65
00:05:41,730 --> 00:05:45,131
What makes you the most nervous and the most fearful?

66
00:05:45,849 --> 00:05:47,299
getting the market fast enough.

67
00:05:47,299 --> 00:05:50,340
uh We want to beat the malicious actors.

68
00:05:50,340 --> 00:06:02,924
uh So I do pride myself on kind of being a ethical capitalist, but at the end of the day,
it's more about getting the product out the door and getting things secure and offering

69
00:06:02,924 --> 00:06:06,225
the best solution to fit the problem.

70
00:06:06,225 --> 00:06:10,826
And that's all that I really focus on uh as opposed to the dollar.

71
00:06:10,826 --> 00:06:12,146
So that's what it's all about.

72
00:06:12,146 --> 00:06:15,295
And if malicious actors can beat me to the punch,

73
00:06:15,295 --> 00:06:19,238
Well, then we failed and nobody likes to fail, right?

74
00:06:19,238 --> 00:06:20,420
Like I definitely don't.

75
00:06:20,420 --> 00:06:23,223
So that's the biggest driver right now.

76
00:06:23,223 --> 00:06:23,805
Yeah.

77
00:06:23,805 --> 00:06:29,677
So were you in the world of when um PayPal evolved and were you in the midst of all this?

78
00:06:29,677 --> 00:06:30,198
Were you?

79
00:06:30,198 --> 00:06:30,775
Okay.

80
00:06:30,775 --> 00:06:34,286
I was, I was one of the enterprise architects on Zelle.

81
00:06:34,286 --> 00:06:38,216
So that was a uh competitor for the most part.

82
00:06:38,905 --> 00:06:39,437
Yeah.

83
00:06:39,437 --> 00:06:42,283
The, how much time did you spend doing that?

84
00:06:43,903 --> 00:06:47,874
several years actually, I think about five to six years.

85
00:06:48,899 --> 00:06:49,460
Yeah.

86
00:06:49,460 --> 00:06:56,631
What are you always thinking about what's next or when you're inside the infrastructure of
building something, is it making that the best?

87
00:06:56,631 --> 00:06:58,924
Cause now you're a CEO role, right?

88
00:06:58,924 --> 00:07:01,658
It's not just about the task orientation.

89
00:07:02,580 --> 00:07:04,873
It's about, Hey, go ahead.

90
00:07:05,391 --> 00:07:06,892
Yeah, yeah, sorry.

91
00:07:06,892 --> 00:07:19,281
So it is, but it's jumping in and as I like to tell engineers and even salespeople when I
talk to them and interact with them, the devil's in the details, right?

92
00:07:19,281 --> 00:07:29,228
So once you dive in and you start looking at how things are operating and functioning,
that starts to open up doors and you start to see other problems.

93
00:07:29,228 --> 00:07:31,119
Oh, well, this is a problem there.

94
00:07:31,119 --> 00:07:34,391
There is also there that's very apparent.

95
00:07:34,391 --> 00:07:36,573
And we can solve for that along the way too.

96
00:07:36,573 --> 00:07:40,186
And of course you can't solve for the world's problems overnight, right?

97
00:07:40,186 --> 00:07:48,704
So it's picking and choosing what is the best problem to solve or what's along that path
that you're already solving.

98
00:07:48,704 --> 00:07:51,105
And those things start to jump out at you.

99
00:07:51,226 --> 00:07:57,431
So along the way, like building these integrations, we start to notice, well, we can also
do this.

100
00:07:57,431 --> 00:08:02,391
We can also consume the data along with the API integration.

101
00:08:02,391 --> 00:08:13,268
We can offer this back to the financial institutions in the form of like AI insights to
bridge the gap between the financial institution and the end user or their customers um to

102
00:08:13,268 --> 00:08:17,920
match better what they need and what the financial institution's offering.

103
00:08:17,920 --> 00:08:20,422
um So that's another element.

104
00:08:20,422 --> 00:08:28,667
So pulling in processing data, learning what the financial institution has to offer and
aligning the customers and the bank with their offerings.

105
00:08:28,667 --> 00:08:29,607
uh

106
00:08:29,932 --> 00:08:41,992
Financial institutions actually offer quite a bit of product lines, most of which people
are completely unaware of em and don't really know how to navigate their particular

107
00:08:41,992 --> 00:08:46,115
institution to find their needs and how they could be met.

108
00:08:46,115 --> 00:08:53,581
ah And likewise, the financial institutions find it very hard to gain insights to their
customers.

109
00:08:53,581 --> 00:08:55,779
um At the end of the day, they...

110
00:08:55,779 --> 00:08:58,880
they don't really want to be a malicious actor, right?

111
00:08:58,880 --> 00:09:06,383
They want to offer the most value and then the person in the financial institution wants
to get or maximize their value from their institution.

112
00:09:07,044 --> 00:09:11,346
ensuring that they have alignment, AI can help a lot with that these days.

113
00:09:11,346 --> 00:09:13,997
As long as it's done responsibly, obviously.

114
00:09:13,997 --> 00:09:21,310
So closed loop models are highly secure infrastructure and making sure there's no data
leakage or anything like that.

115
00:09:21,310 --> 00:09:24,941
So we can do that and best align the consumer.

116
00:09:24,941 --> 00:09:32,247
with uh their financial institution, um along with providing the post-quantum encryption
integrations.

117
00:09:32,921 --> 00:09:37,395
Do you find yourself with the clients that you work with?

118
00:09:37,396 --> 00:09:47,987
Do they seek you out to solve their problems or are you more identifying the problems
before they see them, building infrastructure and then going and selling it to them?

119
00:09:48,431 --> 00:09:49,931
A little bit of both.

120
00:09:51,831 --> 00:09:58,631
There's been people that came to me and said, hey, you know, it'd be nice if you solve
this problem that we have.

121
00:09:58,631 --> 00:10:00,651
And then I'll look at and say, oh, you know what?

122
00:10:00,651 --> 00:10:03,791
That is a problem and it's easily solvable.

123
00:10:03,791 --> 00:10:05,211
Yeah, we could do that.

124
00:10:05,311 --> 00:10:16,211
And then there are times where I notice a problem and then dive in, solve for it, ask, you
know, touch base with people in the industry to say, would you be interested in this or

125
00:10:16,211 --> 00:10:17,927
does this meet a need?

126
00:10:18,083 --> 00:10:21,005
But I think the biggest thing is to focus on the problem.

127
00:10:21,005 --> 00:10:27,770
um So often people want to build something cool that they want to build and then they look
for people who want to consume it.

128
00:10:27,770 --> 00:10:34,995
it might not um meet a need or it may meet a need and then that's great.

129
00:10:35,036 --> 00:10:44,783
But focusing on the problems and solving for those I think is a smoother transition and
plays a more important part in our society because

130
00:10:44,879 --> 00:10:47,661
Problems are all over the place and they're looking to be solved, right?

131
00:10:47,661 --> 00:10:55,157
And so it's a natural way to meet a need and solve for that.

132
00:10:55,471 --> 00:11:01,451
Is that what we're talking, we talked a little bit before we hit the record, but is that
really the origin of first principles thinking?

133
00:11:01,451 --> 00:11:09,511
Is it cutting out all the minutiae, all the noise, and just going straight to the basics
of the origin of the problem and solving that?

134
00:11:09,619 --> 00:11:11,370
Absolutely, absolutely.

135
00:11:11,370 --> 00:11:18,262
Yes, I personally like to focus on one problem and approach that.

136
00:11:18,262 --> 00:11:21,222
With Ficus, we're approaching a few.

137
00:11:21,222 --> 00:11:26,404
We basically have four pillars, but that's because they naturally fit together.

138
00:11:26,404 --> 00:11:31,265
So we're building towards um integrations into cores.

139
00:11:31,265 --> 00:11:34,746
But with that, we notice, we can consume the data.

140
00:11:34,746 --> 00:11:37,767
We can provide these other um

141
00:11:37,767 --> 00:11:44,209
needs that have not been met, but it's a natural em way that things come together.

142
00:11:44,209 --> 00:11:53,431
So it's not like we're jumping across different boundaries or trying to solve or get too
dispersed solving too many different problems because that's where failure could come in.

143
00:11:53,431 --> 00:12:01,194
Like you could get so dispersed and, you know, make a dent in a few areas, um but not
really make any true progress.

144
00:12:01,194 --> 00:12:06,411
So focusing on a problem and solving for that.

145
00:12:06,411 --> 00:12:16,104
specific problem and like you said getting rid of all the noise and everything else and
just drilling into that one thing that it's all looking for it that that's absolutely

146
00:12:16,104 --> 00:12:16,973
valuable.

147
00:12:16,973 --> 00:12:19,286
Yeah, and just do that time after time.

148
00:12:19,286 --> 00:12:21,569
Solve that problem, move on to the next one immediately.

149
00:12:21,569 --> 00:12:23,171
Move on to the next one, right?

150
00:12:23,171 --> 00:12:29,599
And instead of worrying about 10 big problems, you'll actually accomplish those 10 big
problems individually way faster.

151
00:12:29,679 --> 00:12:34,399
Yes, and I've seen it so many times, especially with digital transformations.

152
00:12:34,819 --> 00:12:39,279
Most companies will find themselves because when you're a startup, you have to move fast,
right?

153
00:12:39,279 --> 00:12:41,259
Like you have to find product market fit.

154
00:12:41,259 --> 00:12:43,359
You have to start to build revenue.

155
00:12:43,879 --> 00:12:47,999
You have employees that you have to ensure you meet payroll and things like that.

156
00:12:48,579 --> 00:12:52,179
Moving fast is important, along with solving the problem.

157
00:12:52,179 --> 00:12:57,831
But you can kind of build yourself into a corner where eventually you...

158
00:12:57,859 --> 00:13:04,402
can't scale, so you build for speed and not necessarily for sustainability and for
scalability.

159
00:13:04,482 --> 00:13:14,106
So most companies find themselves in that position and then find the need to, okay, now we
have to start acting more enterprise-ish and build towards that and really scale things

160
00:13:14,106 --> 00:13:21,889
out and take a look at all of our infrastructure or applications um and do things the
quote unquote right way.

161
00:13:21,889 --> 00:13:26,361
um But really it's just the right way at the time because

162
00:13:26,361 --> 00:13:28,743
There was nothing wrong with solving the problem the previous way.

163
00:13:28,743 --> 00:13:30,455
It meant the need, right?

164
00:13:30,455 --> 00:13:33,717
So it's just the right thing at the right time.

165
00:13:33,717 --> 00:13:46,528
So going towards that, a lot of businesses then start to notice, okay, this is not as easy
as it seems because now there's 200 problems and you can't solve for 200.

166
00:13:46,528 --> 00:13:55,425
You got to pick a few and those few have to be wins after you iterate or iteratively
approach those problems.

167
00:13:55,479 --> 00:14:02,291
You can start to build up traction, people start to get on board with what's going on and
you can have successes over time.

168
00:14:02,291 --> 00:14:09,933
But trying to do like a lift and shift immediately to something completely new, I've seen
it fail so many times.

169
00:14:11,951 --> 00:14:16,449
What do you make of the average human now?

170
00:14:19,251 --> 00:14:24,292
our conversation around AI, because let me provide some context to the question.

171
00:14:25,513 --> 00:14:32,615
I see computer programming and coding since I was a kid.

172
00:14:32,735 --> 00:14:36,096
I'm glad that I saw both aspects of this.

173
00:14:36,096 --> 00:14:39,127
The internet age just started happening while was in high school, right?

174
00:14:39,127 --> 00:14:40,817
I think we're at similar age.

175
00:14:40,937 --> 00:14:48,109
And so how it seems like to me, those that are in the field that you're in.

176
00:14:48,109 --> 00:14:52,202
You've always been working with AI because that's what computers are to me.

177
00:14:52,403 --> 00:14:57,107
Somebody programs something and it's doing some functionality for the user.

178
00:14:58,008 --> 00:15:07,036
It just seems like now it's just scaling at such a high level that we're able to interact
with it in a way that we have access to information and leveling our brain up and

179
00:15:07,036 --> 00:15:09,538
increasing efficiency that we ever had before.

180
00:15:09,538 --> 00:15:15,053
But those of you that have been working in the field, it seems every time you've
programmed something, you've created AI.

181
00:15:15,661 --> 00:15:19,593
Yeah, that's an interesting way to look at it.

182
00:15:19,593 --> 00:15:23,876
um I leverage AI for sure.

183
00:15:23,876 --> 00:15:25,597
Most of the people who I work with do.

184
00:15:25,597 --> 00:15:28,518
ah It's a bittersweet at times.

185
00:15:28,518 --> 00:15:38,784
think there's an aspect of it that um people look at it as one or two things, or really
one of three ways.

186
00:15:38,784 --> 00:15:44,097
um Either they're against it and it's harming humanity.

187
00:15:44,491 --> 00:15:49,116
People look at it as it's the end all be all, like it could do anything.

188
00:15:49,116 --> 00:15:52,359
And so there's a bit of that in the industry that I can see right now.

189
00:15:52,359 --> 00:16:01,648
ah And then there's the actual aspect and the way that it should be looked at is it's a
tool to be leveraged to help people become more efficient.

190
00:16:01,648 --> 00:16:06,773
ah And it's good at that, but it's not a replacement.

191
00:16:06,773 --> 00:16:08,754
ah It does help.

192
00:16:09,875 --> 00:16:11,817
But it's dangerous if you rely on it.

193
00:16:11,817 --> 00:16:23,266
So if you want it to write a Shakespeare play, you're going to read it and be heavily
disappointed at what it comes up with because things will get weird.

194
00:16:24,048 --> 00:16:29,112
So there's hallucinations and it will improve over time for sure.

195
00:16:29,112 --> 00:16:37,581
But there always has to be that eyes on, especially when it comes to code, just because of
the nature of the industry and so many malicious actors out there.

196
00:16:37,581 --> 00:16:41,674
looking for any way to take advantage of vulnerability.

197
00:16:42,615 --> 00:16:45,137
So it's great.

198
00:16:45,137 --> 00:16:46,928
ah It's a good tool.

199
00:16:46,928 --> 00:16:56,346
can make us more productive, but it really comes down to not everybody is an author, but
most people know how to read.

200
00:16:56,346 --> 00:16:59,448
So I think in the future, will be the same way.

201
00:16:59,448 --> 00:17:07,094
um Not everybody has to write code, but I think most people will end up being able to read
and understand code and leverage AI.

202
00:17:07,295 --> 00:17:17,105
As that companion, yes, it can do things for you, but you have to be able to read it and
you have to be able to digest it in a way that's meaningful and that you can interpret and

203
00:17:17,105 --> 00:17:18,706
correct it when it's wrong.

204
00:17:19,256 --> 00:17:30,648
Do you think there'll be some danger that the people who aren't the author that don't know
how to construct the grammar inside the book to put a uh book together?

205
00:17:30,648 --> 00:17:33,399
Is there danger in this user now?

206
00:17:33,399 --> 00:17:38,890
Cause I could now go to chat or Jim and I, or a bunch of them and I can get, it can create
JavaScript for me.

207
00:17:38,890 --> 00:17:39,970
You know this.

208
00:17:40,390 --> 00:17:46,925
I can, I can build websites now within minutes and then be fully functional for

209
00:17:46,925 --> 00:17:50,601
There to be systems, it's incredible what's happening.

210
00:17:50,743 --> 00:17:57,225
But is there danger in the details that I don't know that could cause vulnerability?

211
00:17:57,507 --> 00:17:58,628
Yes, absolutely.

212
00:17:58,628 --> 00:17:59,538
uh There are.

213
00:17:59,538 --> 00:18:03,622
And it always goes back to the use case, right?

214
00:18:03,622 --> 00:18:04,773
What are you looking to do?

215
00:18:04,773 --> 00:18:09,677
Are you looking to put something out there to promote yourself or throw up a resume?

216
00:18:09,677 --> 00:18:11,058
Well, that's fine.

217
00:18:12,259 --> 00:18:15,281
leverage it, get it generated and get it out the door.

218
00:18:15,842 --> 00:18:27,343
But when it comes to something like um things that are for the medical industry or
financial institutions, things that need to be SOC 2, PCI compliant, HIPAA compliant,

219
00:18:27,343 --> 00:18:34,563
Yes, there does become a danger there and it still can be leveraged, but there has to be
guardrails in place.

220
00:18:34,563 --> 00:18:47,323
So we have a lot of the tools at our disposal nowadays, you know, vulnerability scanning
tools, SAS, DAS, code analysis, code smell analysis.

221
00:18:47,363 --> 00:18:48,703
So those can help.

222
00:18:48,703 --> 00:18:53,103
But we also have pure code review processes where another human being gets eyes on.

223
00:18:53,103 --> 00:18:55,879
And so while somebody, you know,

224
00:18:55,993 --> 00:18:59,307
can create something em and throw it up there on the web.

225
00:18:59,307 --> 00:19:02,510
um And that's great, yes.

226
00:19:02,631 --> 00:19:08,338
But should it be trusted by medical institutions to bring in doors and run their
hospitals?

227
00:19:08,338 --> 00:19:09,239
Probably not.

228
00:19:09,239 --> 00:19:11,621
Like there still has to be those guardrails in place.

229
00:19:11,621 --> 00:19:13,333
And for the most part, there are.

230
00:19:13,487 --> 00:19:14,447
Yeah.

231
00:19:14,627 --> 00:19:22,367
What do we make of and correct me if wrong, I'm sure that you know, being, you know, out
on the West coast and the Southwest that you are, you're close enough to Silicon Valley

232
00:19:22,367 --> 00:19:23,487
and what's happening there.

233
00:19:23,487 --> 00:19:26,507
You have your toes and fingers and what's going on over there.

234
00:19:26,607 --> 00:19:39,807
I What, what do we make of, I believe it was Metta or something that paid an astronomical
salary and bonus to a programmer in 2025.

235
00:19:39,807 --> 00:19:40,327
Am I correct?

236
00:19:40,327 --> 00:19:43,407
That's like a hundred million dollars or something to one individual.

237
00:19:44,279 --> 00:19:54,828
Well, it comes back to really how much value are you providing in these days that can be
measurable.

238
00:19:54,828 --> 00:19:57,340
uh Not in every aspect of things, right?

239
00:19:57,340 --> 00:20:11,719
But in some ways, like if you produce a program or an application or a service that makes
X amount, you can um likely demand Y.

240
00:20:11,779 --> 00:20:13,063
So,

241
00:20:13,129 --> 00:20:17,664
it's just a subset of the amount of value produced, right?

242
00:20:17,664 --> 00:20:23,691
So if I produce something that's worth a hundred million, why not ask for 10?

243
00:20:23,691 --> 00:20:24,742
Right?

244
00:20:24,742 --> 00:20:31,149
So it just kind of goes hand in hand and it aligns with the amount of value that you're
providing.

245
00:20:31,149 --> 00:20:33,850
and the scarcity of maybe the knowledge, the inability,

246
00:20:34,295 --> 00:20:35,817
Yeah, absolutely.

247
00:20:35,817 --> 00:20:48,292
If you can offer a service and that service is worth a certain amount, well, you're
probably going to make that amount because it's a need somewhere for somebody.

248
00:20:48,292 --> 00:20:51,585
In that particular case, it was a need for Metta.

249
00:20:52,603 --> 00:20:54,685
Um, what in your business?

250
00:20:54,685 --> 00:20:57,466
I'm not saying you have that $10 million role.

251
00:20:57,607 --> 00:21:06,334
Hey, listen, but if what in your business though, what's the biggest problem right now
that you're working on solving?

252
00:21:06,334 --> 00:21:15,611
Obviously you're not going to talk about, you know, all the, critical things that are
valuable behind the scenes, but, what's the big problem that if you found someone right

253
00:21:15,611 --> 00:21:18,623
now that could solve it, they would be highly valuable to you.

254
00:21:20,055 --> 00:21:28,101
I think stable quantum computing, um that's just uh such a game changer.

255
00:21:28,101 --> 00:21:45,246
mean, where we're talking about um being able to process data across the entire stock
market, we're um looking at processing images in X-rays across an entire hospital to look

256
00:21:45,246 --> 00:21:49,519
for things that are wrong, to be able to detect things like cancer at the earliest.

257
00:21:49,519 --> 00:21:59,739
possible stages and and while we're getting better and better at that I think quantum
computing is that game-changer where it just provides us that much more computational

258
00:21:59,739 --> 00:22:07,145
about power that It is no longer fitting into Moore's law like it's just an exponential
increase overall

259
00:22:07,225 --> 00:22:13,174
So are we just talking about the processing speed of a chip that now we've gotten to a
place where that's not getting it done anymore?

260
00:22:13,174 --> 00:22:15,389
What's the next chip that's not a chip?

261
00:22:15,893 --> 00:22:24,395
Exactly, like with our current um chips, we run into the general, just the laws of
physics, right?

262
00:22:24,395 --> 00:22:32,908
There's only so many transistors you can fit into a given space before you have to break
the laws of physics in order to do it, which is not going to happen.

263
00:22:32,908 --> 00:22:37,429
So with quantum computing, we can push well past that barrier.

264
00:22:37,429 --> 00:22:43,771
And it's really like a limitless uh amount of, in theory, a limitless amount of quantum
computing.

265
00:22:43,771 --> 00:22:44,711
um

266
00:22:44,891 --> 00:22:54,419
I remember when quantum states and computation was just a theory and that was when I was
in physics classes.

267
00:22:54,680 --> 00:23:02,466
Now it's a reality and so much so and we're so accurate with it that we can compute
utilizing it.

268
00:23:03,228 --> 00:23:11,735
The other thing is with networks, with entanglement you're looking at um instantaneous
communication.

269
00:23:11,821 --> 00:23:21,140
So, you know, going from here to Mars and being able to use a quantum network to
communicate instantaneously back and forth is just mind blowing.

270
00:23:21,140 --> 00:23:26,115
Like the data takes a long time to reach that far, um even as of right now.

271
00:23:26,115 --> 00:23:37,345
But if we can start to build out those quantum networks, it's a massive, massive problem
solved in the delay of communication.

272
00:23:37,559 --> 00:23:40,244
Is this like Beam Me Up Scotty in the physical form?

273
00:23:40,905 --> 00:23:41,786
Absolutely it is.

274
00:23:41,786 --> 00:23:48,942
now, teletransportation, I think that's a completely different problem.

275
00:23:48,942 --> 00:23:50,403
I don't know if that's solvable.

276
00:23:50,403 --> 00:23:55,341
ah

277
00:23:55,341 --> 00:24:02,015
Yeah, it's almost as if having the thought or the input here on earth and as I'm inputting
it, it's already there.

278
00:24:02,157 --> 00:24:03,870
Yes, absolutely.

279
00:24:04,367 --> 00:24:06,368
So what's happened in quantum computing?

280
00:24:06,368 --> 00:24:07,338
you, it was a theory.

281
00:24:07,338 --> 00:24:09,239
How is it reality now?

282
00:24:09,239 --> 00:24:10,390
What's going on?

283
00:24:10,390 --> 00:24:15,733
If we're trying to work against physics for, you you can only fit so much within a chip.

284
00:24:15,733 --> 00:24:19,454
What's happening to make this real world and reality now?

285
00:24:19,454 --> 00:24:21,415
How is quantum computing happening?

286
00:24:21,473 --> 00:24:23,604
Yeah, so pushing the boundaries.

287
00:24:23,604 --> 00:24:28,285
Quantum computers, the idea has been around for very long time.

288
00:24:28,385 --> 00:24:31,786
There's been several breakthroughs just over the last like three years.

289
00:24:31,786 --> 00:24:49,967
um And all of the major, you know, fan companies and everybody that you would think of um
along those lines, uh you know, Microsoft, Amazon, uh Oracle, IBM, they all have.

290
00:24:49,967 --> 00:24:52,229
pretty solid quantum computers now.

291
00:24:52,229 --> 00:24:57,332
And there's uh new companies emerging like D-Wave who are building them out as well.

292
00:24:57,332 --> 00:25:01,325
they're getting uh one of the problems that they're facing is just stability.

293
00:25:01,325 --> 00:25:02,996
Like how well can you trust it?

294
00:25:02,996 --> 00:25:09,240
um There's a lot of instability in trying to read particles.

295
00:25:09,480 --> 00:25:15,885
So they have to be cold to near zero Kelvin, very cold temperatures, like beyond freezing.

296
00:25:15,885 --> 00:25:18,046
So, and that's hard to do as well.

297
00:25:18,046 --> 00:25:19,533
um It requires

298
00:25:19,533 --> 00:25:21,134
you know, a lot of power also.

299
00:25:21,134 --> 00:25:31,692
So, but, efficiency is increasing, stability is increasing, and there's been a ton of
breakthroughs recently, and it just continues to get better and better.

300
00:25:31,692 --> 00:25:45,092
along with, you know, how things tend to happen is, it will become less expensive, it'll
get better, it'll become more stable, and pretty soon it'll just be a household word where

301
00:25:45,092 --> 00:25:46,633
everybody will know about it.

302
00:25:46,785 --> 00:25:50,987
Is this what's behind the surge of data centers across the country?

303
00:25:51,535 --> 00:26:04,415
Not currently, a lot of companies are starting to leverage quantum computers and trying to
figure out how they can run computational loads on them.

304
00:26:04,855 --> 00:26:10,435
So not quite completely there to market, but it's getting very, very close.

305
00:26:10,435 --> 00:26:14,151
So I would say probably this year it'll be there.

306
00:26:14,415 --> 00:26:25,685
So when you say the unlock could be somebody figuring out the stability of quantum
computing, when someone figures it out, what's going to happen?

307
00:26:25,685 --> 00:26:31,109
So when this person is going be a, might not be a billion idea, might be a trillion dollar
idea.

308
00:26:32,310 --> 00:26:38,285
When that person that's within a keyboard or engaging with all the technology,

309
00:26:38,285 --> 00:26:40,076
What are they gonna figure out?

310
00:26:40,076 --> 00:26:46,861
So to us, to layman's terms on stability of calculations in quantum computing, what's that
look like?

311
00:26:46,861 --> 00:26:50,293
How can we visualize what stabilizing that looks like?

312
00:26:50,927 --> 00:26:55,171
ah Being able to, like we do today, it's pretty clear.

313
00:26:55,171 --> 00:26:59,335
we have bits um in quantum computing, you have qubits.

314
00:26:59,596 --> 00:27:03,539
Right now we can very clearly and easily read bits.

315
00:27:03,539 --> 00:27:12,378
Things are flipped one way or another way on a disk or you have on and off states um in
transistors.

316
00:27:12,378 --> 00:27:15,895
So we can read that very accurately.

317
00:27:15,895 --> 00:27:18,728
and it gives us the computational power we have today.

318
00:27:18,728 --> 00:27:26,956
So the more accurately we can read that in the world of quantum computing, the better off
we're going to be.

319
00:27:26,956 --> 00:27:38,177
Now, some things are going to happen when that takes place, and that's going to be, we
really need to start worrying about encryption levels because if, you

320
00:27:39,683 --> 00:27:47,819
things like encryption levels today, like 256 bit encryption, like with RSA and things
like that, will be a thing of the past.

321
00:27:47,819 --> 00:27:50,371
Like it will get cracked.

322
00:27:50,371 --> 00:28:05,381
And you can't say exactly what time right now, because we would have to look at that, we'd
have to calculate it out, we'd have to run tests, but it gets to a scary area where the

323
00:28:05,381 --> 00:28:07,937
role is gonna have to change very quickly.

324
00:28:07,937 --> 00:28:09,733
What do you think the time horizon for this is?

325
00:28:09,733 --> 00:28:10,825
What do you think?

326
00:28:13,460 --> 00:28:16,116
I would give it two to three years.

327
00:28:16,116 --> 00:28:23,093
I would like to see it this year actually, but I would it two to three years
realistically.

328
00:28:23,855 --> 00:28:25,332
That happens like that.

329
00:28:25,613 --> 00:28:27,469
Yes, absolutely.

330
00:28:27,469 --> 00:28:30,124
Businesses are thinking about it now.

331
00:28:30,329 --> 00:28:38,920
So is the need for the encryption because quantum computing is coming or is quantum
computing needed for you to encrypt at a high level?

332
00:28:39,599 --> 00:28:40,319
both.

333
00:28:40,319 --> 00:28:42,419
They go hand in hand.

334
00:28:42,539 --> 00:28:43,999
It's going to be needed.

335
00:28:44,039 --> 00:28:50,919
There's going to be, there's already post quantum encryption algorithms and certs
available to be used.

336
00:28:50,919 --> 00:28:55,359
NIST kind of sits that standard in IST.

337
00:28:55,359 --> 00:29:05,419
And they also said by 2030, most financial institutions, companies, hospitals will have to
be post quantum compliant.

338
00:29:05,419 --> 00:29:08,099
So we don't have long at all.

339
00:29:09,583 --> 00:29:10,804
Seems scary.

340
00:29:11,149 --> 00:29:14,481
Yeah, I mean, it's four years away for 2030, right?

341
00:29:14,481 --> 00:29:16,055
Like time flies.

342
00:29:16,825 --> 00:29:21,049
So why did you, what caused you to become a CEO?

343
00:29:21,049 --> 00:29:23,635
Why in the heck do you want to do this, Arthur?

344
00:29:24,353 --> 00:29:33,428
Yeah, it's, never aspired to be, but there's problems out there that need to be solved.

345
00:29:33,428 --> 00:29:37,771
um And at the end of the day, somebody has to solve them.

346
00:29:37,771 --> 00:29:40,072
And that's really what drove me to it.

347
00:29:40,073 --> 00:29:41,193
I like technology.

348
00:29:41,193 --> 00:29:43,405
I like um building things.

349
00:29:43,405 --> 00:29:46,436
I like putting the things that I built out into the world.

350
00:29:46,817 --> 00:29:47,917
It's a great feeling.

351
00:29:47,917 --> 00:29:51,239
It's a great feeling of accomplishment, but um

352
00:29:51,443 --> 00:29:59,769
Seeing so many problems out there that just aren't solved, I had to put myself in the
position to be able to solve them.

353
00:29:59,769 --> 00:30:11,548
And when you do that, ah it's just that natural fit to create a company around that, to
get help from others who are brilliant minds as well that you can collaborate with and

354
00:30:11,548 --> 00:30:12,659
work with.

355
00:30:12,943 --> 00:30:16,223
And that goes across the board and then people have to know that you solved it.

356
00:30:16,223 --> 00:30:21,423
then the income is marketing and sells people and you have to work with them and
strategize.

357
00:30:21,423 --> 00:30:27,495
So it just kind of that natural evolution, but it all stems from solving problems.

358
00:30:29,173 --> 00:30:31,402
That seems very altruistic.

359
00:30:34,837 --> 00:30:37,901
Are you bootstrapping this yourself?

360
00:30:37,901 --> 00:30:38,888
Or what was your approach?

361
00:30:38,888 --> 00:30:42,989
Did you have to go out and outside and raise revenue and raise income?

362
00:30:42,989 --> 00:30:47,211
Yeah, the plan initially was to bootstrap and that's kind of where we're at right now.

363
00:30:47,211 --> 00:30:52,484
But what we're seeing is things are taking off way faster than anticipated.

364
00:30:52,484 --> 00:30:56,126
uh So we're going to be looking to raise money.

365
00:30:56,126 --> 00:30:58,568
uh We just have to move faster.

366
00:30:58,568 --> 00:31:01,830
And the only way we can do that is with manpower.

367
00:31:01,830 --> 00:31:03,871
So putting in that hour.

368
00:31:03,871 --> 00:31:11,445
So we're going to be looking to onboard people and raise some money so that we can just
meet the need fast enough because there's

369
00:31:11,649 --> 00:31:18,603
A lot of institutions out there, um I'm not just focused on uh one geographic area.

370
00:31:18,603 --> 00:31:19,964
It's a worldwide problem.

371
00:31:19,964 --> 00:31:21,665
So that's my approach to it.

372
00:31:21,665 --> 00:31:26,017
And in order to address a worldwide problem, you just need people.

373
00:31:26,317 --> 00:31:26,768
Yeah.

374
00:31:26,768 --> 00:31:29,093
Have you, has this, has this been uncomfortable?

375
00:31:29,093 --> 00:31:32,599
The, the evaluation of raising funds?

376
00:31:35,228 --> 00:31:38,171
It's similar uh to programming actually.

377
00:31:38,171 --> 00:31:43,555
There's a logical uh formula that you can go by and break things down.

378
00:31:43,555 --> 00:31:47,818
so that's my approach.

379
00:31:47,818 --> 00:31:54,223
I'm lucky enough to have met a lot of good people that I have around me that have been
through this process.

380
00:31:54,623 --> 00:31:58,486
So leveraging their expertise, being humble enough to...

381
00:31:59,733 --> 00:32:06,328
know how to accept the advice ah is very important because nobody knows everything, right?

382
00:32:06,328 --> 00:32:11,491
There's always something to learn from every single person you interact with.

383
00:32:11,491 --> 00:32:22,659
knowing, you know, and picking and choosing who to listen to and just taking advice, em
knowing when and how to ask for the help is all important.

384
00:32:22,659 --> 00:32:27,683
em And I think the people who do that become better and better.

385
00:32:27,683 --> 00:32:28,743
em

386
00:32:28,915 --> 00:32:34,944
There are people who are successful who don't do that, but I would say it's pretty rare.

387
00:32:35,266 --> 00:32:38,551
Most people just need to know how to ask for the help and advice.

388
00:32:38,563 --> 00:32:40,816
How will you select the investors?

389
00:32:40,816 --> 00:32:42,623
What's important to you in that?

390
00:32:43,951 --> 00:32:46,073
ah That's a good question.

391
00:32:46,073 --> 00:32:49,636
think having industry insight is very important.

392
00:32:49,636 --> 00:32:54,521
um Money is a necessity.

393
00:32:54,521 --> 00:32:56,502
It's a necessary tool.

394
00:32:56,583 --> 00:32:59,145
But there are other necessary tools as well.

395
00:32:59,145 --> 00:33:01,808
um The mindsets.

396
00:33:01,808 --> 00:33:09,645
Looking to actually be passionate about solving problems and to get things out the door
and knowing where to help and where not to help or...

397
00:33:09,933 --> 00:33:15,226
where not to interject yourself and where to, um those are all important aspects.

398
00:33:15,226 --> 00:33:26,352
um Like I don't need an investor that comes in that thinks they know how to write code,
but having an investor that knows financial institutions and how to get things to them,

399
00:33:26,352 --> 00:33:30,655
that's vital, that's important.

400
00:33:30,655 --> 00:33:32,175
awareness and things like that.

401
00:33:32,175 --> 00:33:38,839
um So they play a very important strategic role um and it's not just a dollar amount.

402
00:33:38,839 --> 00:33:39,379
Yeah.

403
00:33:39,379 --> 00:33:48,345
Is there an example out in the world, you know, so many of us, look at these huge,
outlandish successful, um, adventures, know, like an apple of, know, Steve jobs and

404
00:33:48,345 --> 00:33:48,966
Wozniak.

405
00:33:48,966 --> 00:33:51,788
mean, those guys couldn't have been any different, right?

406
00:33:51,788 --> 00:33:57,341
But they brought those same, they brought totally dissimilar skill sets together and it
just worked.

407
00:33:57,697 --> 00:33:58,788
Exactly.

408
00:33:58,788 --> 00:33:59,508
you need that.

409
00:33:59,508 --> 00:34:05,581
um So you need somebody who's very um business savvy.

410
00:34:05,581 --> 00:34:08,493
You need somebody who's very sales and marketing savvy.

411
00:34:08,493 --> 00:34:13,795
um You need somebody who's highly technical that can hit the ground running.

412
00:34:14,196 --> 00:34:18,618
So all of those aspects all come together to play an equal part.

413
00:34:18,618 --> 00:34:21,710
ah And you can't have one without the other.

414
00:34:21,710 --> 00:34:26,963
Like it doesn't matter how good of a product you build if nobody knows about it, right?

415
00:34:27,471 --> 00:34:34,244
ah And likewise, if everybody knows about it, but you can't bring it to fruition, again,
it's no good.

416
00:34:34,244 --> 00:34:36,005
It's just vaporware, right?

417
00:34:36,005 --> 00:34:50,711
So all of those things coming together, it's a great, um I think, human achievement and
accomplishment uh to be able to bring a team together, work together and accomplish

418
00:34:50,711 --> 00:34:51,661
something.

419
00:34:52,042 --> 00:34:54,943
It's exciting and it's awesome.

420
00:34:55,119 --> 00:35:05,844
So when we get off here today, so before we came on and then afterward, what are the
biggest challenges in the CEO role outside of the solving quantum, stabilizing quantum

421
00:35:05,844 --> 00:35:06,415
computing?

422
00:35:06,415 --> 00:35:12,533
But what's your biggest pain point as a CEO right now?

423
00:35:13,932 --> 00:35:20,224
It's people will doubt me on this, believe it or not, it's going to sound like the
simplest problem.

424
00:35:20,224 --> 00:35:24,536
But the biggest challenge for me is I'm a massive introvert.

425
00:35:24,736 --> 00:35:32,079
So ah getting out there, talking to people, trying to sell them on the idea, saying, hey,
look, this is a problem.

426
00:35:32,079 --> 00:35:35,000
This needs to be solved for how are you approaching it?

427
00:35:35,000 --> 00:35:37,541
Can I help solve for this?

428
00:35:37,681 --> 00:35:39,442
That's actually a big hurdle for me.

429
00:35:39,442 --> 00:35:41,775
I like being hands on keyboard.

430
00:35:41,775 --> 00:35:48,463
um I can talk to people, but as being an introvert, it doesn't come natural.

431
00:35:48,463 --> 00:35:51,486
So it's one of those things that I have to force myself to do.

432
00:35:52,355 --> 00:35:53,336
Very uncomfortable.

433
00:35:53,336 --> 00:36:03,204
um sitting here talking, I I knew right when we got on, I'm like, this guy has a brilliant
technical mind.

434
00:36:03,204 --> 00:36:09,369
That's not just to give you accolades and all that, but there's no doubt you have that and
you have that sense about you.

435
00:36:09,369 --> 00:36:14,012
Also, I'm like, he has developed social skills that he didn't used to possess.

436
00:36:14,253 --> 00:36:16,935
You're actively working on them.

437
00:36:17,177 --> 00:36:20,502
Yes, yes, it did not come natural, that's for sure.

438
00:36:20,502 --> 00:36:22,989
So yeah, it's a work in progress.

439
00:36:22,989 --> 00:36:25,123
Yeah, is it, do you feel better about it?

440
00:36:25,123 --> 00:36:26,226
Cause you're smiling through it.

441
00:36:26,226 --> 00:36:33,139
You can laugh about it now, but I bet there was a time in your life that it was
significantly uncomfortable.

442
00:36:33,461 --> 00:36:34,795
Oh yeah, absolutely.

443
00:36:34,795 --> 00:36:37,781
And it wasn't that long ago, so.

444
00:36:37,845 --> 00:36:42,173
You probably still don't love it, but I think you're realizing there's nothing to be
scared of.

445
00:36:43,019 --> 00:36:46,821
No, no, it's just one of those things that it doesn't come natural.

446
00:36:46,821 --> 00:36:48,922
It does help a lot actually.

447
00:36:48,922 --> 00:36:56,225
um So being able to build those relations and connect with people, ah it's important and
it's great.

448
00:36:56,225 --> 00:37:06,089
um know, over just this last year, I met a bunch of people much like yourself that I'm
able to now communicate with and enjoy doing so.

449
00:37:06,129 --> 00:37:10,551
yeah, it did not come natural, but it's definitely appreciated.

450
00:37:10,551 --> 00:37:11,551
Yeah.

451
00:37:11,551 --> 00:37:16,673
What do you think, um, what do you think the time horizon of this company will be?

452
00:37:16,673 --> 00:37:23,425
You don't have necessarily, you have a lot of experience in this field, but the new CEO
role, do you think about it?

453
00:37:23,425 --> 00:37:24,375
Does it matter?

454
00:37:24,375 --> 00:37:28,647
Does it matter if you get to the end of the road and it's like, I've given everything I've
had.

455
00:37:28,647 --> 00:37:29,877
I've given this thing a decade.

456
00:37:29,877 --> 00:37:33,404
didn't really fulfill it the way I saw it, but does that matter?

457
00:37:33,404 --> 00:37:35,979
Or is it just important to work on the thing every day?

458
00:37:36,237 --> 00:37:40,328
No, it's important to solve for the problem.

459
00:37:40,628 --> 00:37:45,450
My role, my title, I never really cared about that, to be honest.

460
00:37:45,450 --> 00:37:52,492
It's not something I ever strived for achieving, even as enterprise architect or senior
developer or team.

461
00:37:52,492 --> 00:37:55,613
It's nothing I ever really tried for.

462
00:37:55,613 --> 00:37:58,613
Things just kind of naturally happened over time.

463
00:37:59,314 --> 00:38:04,463
Really, for me, it's just about solving the problem and getting the solution out the door.

464
00:38:04,463 --> 00:38:07,846
um into the hands of the people who you're solving the problem for.

465
00:38:07,846 --> 00:38:09,963
That's all that really matters to me.

466
00:38:10,297 --> 00:38:14,937
Do you think that, cause I don't know if Zell started with the name Zell.

467
00:38:14,937 --> 00:38:19,047
I'm assuming maybe it didn't, but PayPal didn't start as PayPal, I don't think.

468
00:38:19,047 --> 00:38:19,548
Right.

469
00:38:19,548 --> 00:38:20,172
no, didn't.

470
00:38:20,172 --> 00:38:21,529
Yeah, right.

471
00:38:21,529 --> 00:38:36,244
Do you think that what you're building now, will it always maintain its same form or could
it evolve to a standalone system separate from being for lending institutions in their

472
00:38:36,244 --> 00:38:37,185
space?

473
00:38:37,655 --> 00:38:41,297
Yeah, um I would love to see it evolve.

474
00:38:41,297 --> 00:38:49,155
Right now I'm creating it for the financial institutions themselves, but um I would love
to see it evolve into something more.

475
00:38:49,155 --> 00:38:58,145
I would love to add more more features onto it as time goes and eventually maybe even
evolve it into a banking core system itself.

476
00:38:58,145 --> 00:38:59,695
That would be wonderful to see.

477
00:38:59,695 --> 00:39:02,027
I would love to work on something like that.

478
00:39:02,027 --> 00:39:03,047
um

479
00:39:03,179 --> 00:39:13,231
right now the industry is kind of all disparate they're trying to bring things together
cryptocurrency is another major disrupter that's huge value

480
00:39:13,231 --> 00:39:16,091
Let's go there a little bit as you finish this statement after it.

481
00:39:16,091 --> 00:39:17,151
Let's go there.

482
00:39:17,249 --> 00:39:17,599
Mm-hmm.

483
00:39:17,599 --> 00:39:18,219
Okay, yeah.

484
00:39:18,219 --> 00:39:23,963
So that's another thing that financial institutions are actively trying to figure out and
bring in solutions for.

485
00:39:23,963 --> 00:39:38,362
So being able to offer, you know, that modular yet complete system that has all of those
things in today's modern era that a financial institution is looking for, it'd be great to

486
00:39:38,362 --> 00:39:39,843
offer and solve for.

487
00:39:39,843 --> 00:39:43,605
So I think over time, there is room to evolve to that.

488
00:39:43,993 --> 00:39:51,960
What do you think right now, is it all about encryption going forward or do you think
there's a better platform that even you, the user would want?

489
00:39:51,960 --> 00:40:02,639
Because I can pull up any of my banking apps, whether I go onto a desktop the old way, go
onto my new iPhone 17, um is there gonna be, is there something different right now that

490
00:40:02,639 --> 00:40:06,022
Arthur wishes he had access to in the financial space?

491
00:40:06,263 --> 00:40:08,054
Or is it all about really encryption?

492
00:40:08,054 --> 00:40:11,987
It's improved to the level that consumers are expecting now or is there something more?

493
00:40:12,367 --> 00:40:16,287
No, I think there's a tremendous amount of improvement still.

494
00:40:16,287 --> 00:40:22,767
So I think we'll get to the point where things become more interactive.

495
00:40:22,767 --> 00:40:34,367
think wearables are going to approach that, even to the point where contact lenses will
carry data and will have more of that VR experience.

496
00:40:34,567 --> 00:40:36,347
Glasses as well.

497
00:40:36,787 --> 00:40:41,679
Google made massive headways a little bit ahead of their time, but that's coming back.

498
00:40:41,679 --> 00:40:50,279
is well now, so I think we'll see more of that in the near future as computational power
increases, form factor decreases.

499
00:40:50,459 --> 00:40:53,999
So there's a ton that will still be done.

500
00:40:53,999 --> 00:41:04,659
I think with the evolution of AI and quantum computing together, we'll solve for things
that we can't even imagine right now, but I'm actively looking for that and trying to

501
00:41:04,659 --> 00:41:05,699
figure those things out.

502
00:41:05,699 --> 00:41:07,599
Like where do the problems actually lie?

503
00:41:07,599 --> 00:41:09,367
What can I solve for today?

504
00:41:09,367 --> 00:41:12,086
and how do we bridge the gap to tomorrow?

505
00:41:12,281 --> 00:41:17,363
Do you think it'll be something like, know, cause the new, the meta two Ray bands came
out, right?

506
00:41:17,363 --> 00:41:21,215
So they're just going to continue evolving right on this.

507
00:41:21,215 --> 00:41:30,899
But can you imagine a time, let's say where I just think about, I want to transfer a
thousand dollars from this account to that account.

508
00:41:30,899 --> 00:41:32,119
And it happens.

509
00:41:32,323 --> 00:41:37,487
Yes, I think there is an approach to that.

510
00:41:37,487 --> 00:41:42,791
ah We see Elon with Neuralink making some strides there.

511
00:41:42,972 --> 00:41:52,360
That'll continue to evolve ah along with computer brain interfaces um and how we read
brain waves and are able to make sense of them.

512
00:41:52,360 --> 00:42:00,655
ah There are, I think, strong possibilities of going towards that, absolutely.

513
00:42:00,655 --> 00:42:04,717
um If not with voice, then with thought itself, for sure.

514
00:42:04,717 --> 00:42:16,622
I think we're a little ways, but again, with the massive spiking computational power and
the reduction in form factor, we're going to be able to do a lot in the near future that

515
00:42:16,622 --> 00:42:18,933
people did not think was feasible.

516
00:42:19,021 --> 00:42:19,752
Yeah.

517
00:42:19,752 --> 00:42:29,739
mean, the way that that I know that you don't have to have faith in that, that that's an
honest truth is just look back a decade ago compared to what we're interacting with today.

518
00:42:29,859 --> 00:42:31,317
Yeah.

519
00:42:31,407 --> 00:42:32,567
It's crazy.

520
00:42:32,567 --> 00:42:36,287
what's happened since we were in high school in the past 30 years.

521
00:42:36,287 --> 00:42:39,827
This whole new world has evolved in 30 years.

522
00:42:40,479 --> 00:42:41,519
Exactly.

523
00:42:41,519 --> 00:42:42,419
Yeah.

524
00:42:43,040 --> 00:42:43,560
Yeah.

525
00:42:43,560 --> 00:42:55,643
I mean, I remember, you know, Omega computers and Apple IIEs and massive form factors,
barely any computational power, but it seemed amazing back then.

526
00:42:55,843 --> 00:43:01,985
And then to look at what we have today, I mean, that evolution is a very short time.

527
00:43:01,985 --> 00:43:07,846
Most of the people who invented the programming languages that we use today are still very
much here with us, right?

528
00:43:07,846 --> 00:43:10,327
Like, it hasn't been very long.

529
00:43:11,089 --> 00:43:20,183
So it's over a very short time and I think that timeframe will shrink and the evolution of
technology will increase.

530
00:43:20,441 --> 00:43:28,162
So is the solve just processing speed and then how to harness that data?

531
00:43:28,162 --> 00:43:29,173
Is that it?

532
00:43:29,801 --> 00:43:37,896
I think that's a large percent, but I think we're going to see things that we haven't seen
in the past, and they'll come in different form factors.

533
00:43:37,896 --> 00:43:54,205
uh We all know that Tesla is going the robotics route, and that's going to be a form
introduced into society that now computers will help you physically, right?

534
00:43:54,205 --> 00:43:57,107
And we'll be interacting with them in the real world.

535
00:43:57,107 --> 00:43:58,093
um

536
00:43:58,093 --> 00:44:03,428
Waymo has made massive strides in driverless cars.

537
00:44:03,428 --> 00:44:13,016
So that's going to be another thing that we're going to see more and more of and probably
see it take over the roads and across companies, right?

538
00:44:13,016 --> 00:44:17,150
Not just that company, but there'll be many because there'll be room for competition.

539
00:44:17,150 --> 00:44:24,807
And I think we'll see a reduction in the death toll for automobiles, which is...

540
00:44:24,867 --> 00:44:25,867
you know, wonderful.

541
00:44:25,867 --> 00:44:28,038
Nobody wants to lose a loved one to that.

542
00:44:28,038 --> 00:44:31,947
So I think it'll be a great thing.

543
00:44:31,947 --> 00:44:37,211
I take definitely more of um the optimistic approach.

544
00:44:37,211 --> 00:44:40,263
uh There are downsides for sure.

545
00:44:40,263 --> 00:44:42,413
You know, you can't ignore that.

546
00:44:42,433 --> 00:44:47,095
But I definitely have a much more optimistic view.

547
00:44:48,067 --> 00:44:53,070
How do you approach significant change, you think, in the past as an employee, but now as
a CEO?

548
00:44:53,070 --> 00:45:04,537
For example, over the past week, I saw it came out that Elon said that SpaceX's focus is
gonna change from going to Mars to going to the moon.

549
00:45:04,537 --> 00:45:06,798
That just came out in the past few days.

550
00:45:06,838 --> 00:45:08,880
And he articulated why.

551
00:45:08,880 --> 00:45:14,915
He said, we can do this in a very short timeframe and build out cities, sustainable cities
on the moon.

552
00:45:14,915 --> 00:45:17,108
versus the extended timeframe we'll take for Mars.

553
00:45:17,108 --> 00:45:19,120
He said, we're not losing that as a goal.

554
00:45:19,120 --> 00:45:21,943
He said, but we know that this is achievable right now for them.

555
00:45:21,943 --> 00:45:28,811
That's a huge marketing purposeful change for one of the most impactful companies in the
world.

556
00:45:29,325 --> 00:45:30,046
Absolutely.

557
00:45:30,046 --> 00:45:30,480
Yeah.

558
00:45:30,480 --> 00:45:31,168
How-

559
00:45:31,168 --> 00:45:38,631
How would you handle or do currently handle or envision you handling something that
significant of a change inside the company you're running?

560
00:45:38,925 --> 00:45:40,518
Yeah, absolutely.

561
00:45:40,518 --> 00:45:43,964
um Obviously not to that magnitude.

562
00:45:44,627 --> 00:45:47,382
Elon's got a lot of weight on his shoulders there.

563
00:45:47,382 --> 00:45:49,139
But to us...

564
00:45:49,139 --> 00:45:51,653
whatever your weight is, it's equal to what his weight is.

565
00:45:51,653 --> 00:45:54,347
Maybe not impacts on society, but it's equal.

566
00:45:54,913 --> 00:45:56,804
Yeah, yeah.

567
00:45:56,804 --> 00:45:57,435
Absolutely.

568
00:45:57,435 --> 00:46:11,635
yeah, I was just talking uh with my really good co-founder, uh Mark, and we made a
decision last night uh to go with some things instead of a complete distributed system.

569
00:46:11,635 --> 00:46:23,483
We peeled some things in, we looked at the timeline and said, hey, we could deliver this
much faster um if we peel some of this back in and deliver things as more of a modulate.

570
00:46:23,483 --> 00:46:24,291
So,

571
00:46:24,291 --> 00:46:36,706
basically pulling some of the microservices into a single application that's modular and
still logically separated, but delivered on the same container and same code base.

572
00:46:36,706 --> 00:46:43,229
So it's one of the ways that we could speed things up um and just deliver the solution a
little bit faster.

573
00:46:43,229 --> 00:46:46,500
Now, we know that's tech debt.

574
00:46:46,500 --> 00:46:54,123
We were making that decision deliberately in order to deliver faster and get the service
out to the customer faster.

575
00:46:54,409 --> 00:47:01,822
and get this in their hands and we know later we're going to have to split this back out
again in order to make it more scalable and appropriate.

576
00:47:01,822 --> 00:47:06,524
um But that's a decision that's made similar.

577
00:47:06,524 --> 00:47:17,439
So he's now peeling back away from Mars saying, hey, we can do the same stuff, but we
could do it in a closer timeline and get things working there and then approach that after

578
00:47:17,439 --> 00:47:19,570
proving success.

579
00:47:19,910 --> 00:47:22,003
similar thing, much smaller scale.

580
00:47:22,003 --> 00:47:22,584
Yeah, right.

581
00:47:22,584 --> 00:47:29,705
I mean, listen, time horizon of products to market is real because you take too long,
you'll be irrelevant.

582
00:47:30,079 --> 00:47:30,919
Absolutely.

583
00:47:30,919 --> 00:47:33,461
Yeah, time to market is a necessity.

584
00:47:33,461 --> 00:47:46,479
Like, the problem has to be solved and if you don't solve it, somebody else may or uh they
may just go on to something else and it may become, you know, just a problem that's

585
00:47:46,479 --> 00:47:49,421
accepted and people move on from it.

586
00:47:49,421 --> 00:47:51,138
Yeah, becomes irrelevant at that point.

587
00:47:51,138 --> 00:47:54,581
um So what about crypto?

588
00:47:56,825 --> 00:48:04,892
Crypto is staying a big part of the world today.

589
00:48:04,892 --> 00:48:10,706
think long term it's just going to become more more stable.

590
00:48:10,706 --> 00:48:12,338
It's going to get utilized more and more.

591
00:48:12,338 --> 00:48:21,655
There's people, the adoption em I think is not as quick as most people anticipated, but
the adoption is still there.

592
00:48:21,655 --> 00:48:23,436
It's still increasing.

593
00:48:23,775 --> 00:48:26,607
And I don't think it's going away.

594
00:48:26,607 --> 00:48:30,148
um There are some things that are going to have to change.

595
00:48:30,148 --> 00:48:32,830
There's problems there that have to get solved for as well.

596
00:48:32,830 --> 00:48:44,594
um For sure, there's a natural problem there going back to quantum computers and being
able to crack things.

597
00:48:44,594 --> 00:48:48,056
So there's a natural problem there that needs to get addressed.

598
00:48:48,936 --> 00:48:50,127
But I think it will.

599
00:48:50,127 --> 00:48:56,289
I think somebody's going to solve for that and it'll just increase in its use and
popularity for sure.

600
00:48:56,441 --> 00:49:04,255
Do you think the current form of these brands that we know, do they become irrelevant
because they take too long and they're skipped over?

601
00:49:04,941 --> 00:49:07,092
Yes, absolutely.

602
00:49:08,192 --> 00:49:13,094
Yeah, I think the natural thing, like most things happen, right?

603
00:49:13,375 --> 00:49:16,716
You're going to end up with major players in the space.

604
00:49:16,716 --> 00:49:22,098
um They'll end up acquiring some of the smaller players.

605
00:49:22,358 --> 00:49:28,461
But there's always going to be those companies that emerge and say, hey, we solve this a
completely different way.

606
00:49:28,461 --> 00:49:30,062
And they'll come up to speed.

607
00:49:30,062 --> 00:49:33,813
um Just like, you know, there was a time prior to Walmart.

608
00:49:34,115 --> 00:49:35,257
Then there was Walmart, right?

609
00:49:35,257 --> 00:49:36,599
And that was massive.

610
00:49:36,599 --> 00:49:41,045
But then there was a time during that time there was no Amazon.

611
00:49:41,045 --> 00:49:46,494
Well, this online bookstore came out of nowhere and now ships everything, right?

612
00:49:46,494 --> 00:49:46,734
Yep.

613
00:49:46,734 --> 00:49:47,975
uh

614
00:49:47,993 --> 00:49:50,016
without us going to the physical stores.

615
00:49:50,241 --> 00:49:51,291
Yeah, exactly.

616
00:49:51,291 --> 00:49:54,334
So I think a similar thing will happen in the crypto space.

617
00:49:54,334 --> 00:49:59,597
There'll be the major players, there'll be some consolidation for sure.

618
00:49:59,597 --> 00:50:04,820
But then there'll be innovation and people that come out of left field and solve things a
completely different way.

619
00:50:04,820 --> 00:50:10,313
And we'll have products that we can't even think of um from today's perspective.

620
00:50:10,415 --> 00:50:13,687
Do you think the value of crypto is just a better form of exchange?

621
00:50:13,687 --> 00:50:15,216
Is that the true value of it?

622
00:50:15,216 --> 00:50:16,418
Or do you think it's bigger than that?

623
00:50:16,418 --> 00:50:18,679
Because my just average brain breaks it down to that.

624
00:50:18,679 --> 00:50:20,060
like, what are we doing here?

625
00:50:20,060 --> 00:50:20,380
Right?

626
00:50:20,380 --> 00:50:21,960
Yeah, we're assigning temporary value.

627
00:50:21,960 --> 00:50:23,641
This guy's willing to pay me more.

628
00:50:23,641 --> 00:50:25,462
You know, we use this brand of Bitcoin.

629
00:50:25,462 --> 00:50:27,763
It halves from October till now.

630
00:50:27,763 --> 00:50:33,886
Nothing changed in the value of Bitcoin from October of last year to right now.

631
00:50:33,886 --> 00:50:36,277
And it halved what you could sell it for.

632
00:50:36,299 --> 00:50:38,024
and it might go back up and down.

633
00:50:38,024 --> 00:50:39,759
So it's like, what's the real value of this?

634
00:50:39,759 --> 00:50:44,823
People want to argue about, but I'm like, isn't it just about exchange?

635
00:50:45,517 --> 00:50:52,272
That's really what it is, um how you determine value and what you're exchanging for value,
right?

636
00:50:52,273 --> 00:50:58,458
And the reason why it's volatile is because we're comparing it against the US dollar,
right?

637
00:50:58,458 --> 00:51:03,303
And that's the volatility um because we're doing that comparison.

638
00:51:03,303 --> 00:51:11,640
But at the end of the day, you're going to agree, hey, I'll sell you this much or I'll
sell you this for this much Bitcoin.

639
00:51:11,640 --> 00:51:13,367
It's going to happen or not, right?

640
00:51:13,367 --> 00:51:16,891
Now, if you go back and compare it against the US dollar, well, that's going to fluctuate.

641
00:51:16,891 --> 00:51:26,262
um US dollar is fairly stable, but in comparing Bitcoin to it, seems like Bitcoin is very
volatile, right?

642
00:51:26,262 --> 00:51:31,471
But at the end of the day, again, it comes back to that value exchange and what people
agree on.

643
00:51:31,471 --> 00:51:40,631
Yeah, and so it's fascinating to me that, Michael Saylor and all these people, there's
these huge debates out there, but I'm like, how will there not be inflation in Bitcoin

644
00:51:40,631 --> 00:51:41,271
too?

645
00:51:41,271 --> 00:51:50,531
So when we get to this time horizon of 115 years and the final 21 millionth Bitcoin is
done, it's been mined and there's no more of Bitcoin.

646
00:51:50,531 --> 00:51:53,011
It'll be something else, but there's no more of that.

647
00:51:53,011 --> 00:51:54,983
Won't there be inflation in that?

648
00:51:55,791 --> 00:51:58,135
ah There will be if they create more.

649
00:51:58,135 --> 00:51:59,055
Yes.

650
00:52:00,358 --> 00:52:03,443
I mean, that's really in economies, that's what does it, right?

651
00:52:03,443 --> 00:52:03,911
the...

652
00:52:03,911 --> 00:52:04,327
Yeah.

653
00:52:04,327 --> 00:52:06,189
But people don't want more.

654
00:52:06,189 --> 00:52:07,692
Yeah, they're gonna want more for their thing.

655
00:52:07,692 --> 00:52:12,181
Because if I can sell my thing and exchange my thing for more of something else, I'm going
to.

656
00:52:12,331 --> 00:52:13,457
Absolutely.

657
00:52:14,511 --> 00:52:15,251
Hmm.

658
00:52:15,251 --> 00:52:15,871
Okay.

659
00:52:15,871 --> 00:52:22,091
So does Bitcoin at where are 20 we're not going to be around here when it's final when
it's a me and you aren't going to be alive when it finishes.

660
00:52:25,145 --> 00:52:29,884
Do you think it's going to be a different way of exchange or do think that's it?

661
00:52:29,884 --> 00:52:31,529
Like is Bitcoin it?

662
00:52:31,875 --> 00:52:35,917
No, no, I think uh that'll continue to evolve as well.

663
00:52:35,917 --> 00:52:41,461
um And I think that the way that we exchange currency is going to change.

664
00:52:41,521 --> 00:52:45,343
It's obviously going to be all digital in one form factor or another.

665
00:52:45,343 --> 00:52:51,367
um I can't even remember the last time that I had a physical dollar.

666
00:52:51,452 --> 00:52:54,924
I'm not hey, I'm still holding on to him Arthur, damn it!

667
00:52:56,193 --> 00:53:00,528
Yeah, I mean, and yeah, there are people who still do.

668
00:53:00,528 --> 00:53:05,294
um And I'm surprised every time I see it like, oh, yeah, I remember that.

669
00:53:05,551 --> 00:53:06,291
the Midwest.

670
00:53:06,291 --> 00:53:08,051
There's a few of us.

671
00:53:08,431 --> 00:53:13,471
Mark, Mark, Mark Twain said, yeah, Mark Twain said we're 10 years behind everybody else.

672
00:53:14,271 --> 00:53:15,911
That's what he said.

673
00:53:16,071 --> 00:53:22,171
Um, are you, I'm, I'm overtly optimistic as a human.

674
00:53:22,491 --> 00:53:28,351
Um, I, I believe in scarcity doesn't affect me.

675
00:53:28,351 --> 00:53:30,451
I think there's more things than people perceive.

676
00:53:30,451 --> 00:53:32,651
There is, more abundance and I'm positive.

677
00:53:32,651 --> 00:53:33,651
However,

678
00:53:34,019 --> 00:53:35,948
Does it concern you at all?

679
00:53:37,657 --> 00:53:42,631
that we don't have control of any of these things as an individual.

680
00:53:42,631 --> 00:53:51,688
Maybe you'll make an argument that you have control of your currency in the exchange, but
I can actually hold in the past and I can hold the value today.

681
00:53:51,688 --> 00:53:54,559
Yes, inflation erodes the value, but I can hold it.

682
00:53:54,861 --> 00:53:59,864
And the only way someone was going to steal it from me is to come rob me and steal it from
me, like physically.

683
00:54:00,606 --> 00:54:04,929
We're going to be relying as a society that doesn't understand coding and technology.

684
00:54:04,929 --> 00:54:07,735
We're going to be relying on systems that I'm

685
00:54:07,735 --> 00:54:10,573
I'm not the knowledge and the understanding and holding behind it.

686
00:54:10,573 --> 00:54:16,979
I might have access to a system, but there's people that are gonna have access to shut
that system out and eliminate me from it.

687
00:54:17,133 --> 00:54:17,983
Yes.

688
00:54:18,284 --> 00:54:23,126
Yeah, it's like I said, there are concerns for sure.

689
00:54:23,607 --> 00:54:27,689
Not everything is sunny days.

690
00:54:27,809 --> 00:54:29,870
And that has happened.

691
00:54:29,870 --> 00:54:35,734
ah The first distributed um denial of service attack and talent, right?

692
00:54:35,734 --> 00:54:41,196
People were shut out from banks, no electricity, no way to communicate outward.

693
00:54:41,297 --> 00:54:42,307
That's a scary time.

694
00:54:42,307 --> 00:54:46,116
And yeah, we do...

695
00:54:46,151 --> 00:54:51,671
The more digitally connected we become, the more we are susceptible to that for sure.

696
00:54:51,671 --> 00:54:59,938
It makes the infrastructure that supports those things highly important and um requiring
protection.

697
00:54:59,979 --> 00:55:06,182
So yes, it does become um somewhat of a scary aspect.

698
00:55:06,182 --> 00:55:10,644
I think we have to weigh the pros and cons, right?

699
00:55:10,644 --> 00:55:16,079
um Like my money, physical money could get damaged.

700
00:55:16,079 --> 00:55:22,962
It can get robbed from either people can be incentivized to do so under certain
conditions, right?

701
00:55:23,082 --> 00:55:28,404
Well, if it's in my bank, well, you have to be a highly skilled person in order to get
that.

702
00:55:29,145 --> 00:55:33,347
So you're less likely to harm me physically to get at that.

703
00:55:33,347 --> 00:55:37,188
um You may attack the computer systems and things like that.

704
00:55:37,729 --> 00:55:40,230
So at least the human being is in an arms way.

705
00:55:40,230 --> 00:55:43,477
um And then there's defenses that, but.

706
00:55:43,477 --> 00:55:45,669
At the end of the day, people do have to have their money.

707
00:55:45,669 --> 00:55:49,332
They do have to be able to eat, right, and support their families.

708
00:55:49,332 --> 00:55:56,809
um So we do have to protect those systems and take it serious because um livelihood still
depends on them.

709
00:55:56,855 --> 00:55:57,298
Yeah.

710
00:55:57,298 --> 00:56:00,397
Hence where you're at with your business and deciding to be a CEO.

711
00:56:00,397 --> 00:56:01,469
Absolutely.

712
00:56:02,393 --> 00:56:03,965
So what happened when we shared about your company?

713
00:56:03,965 --> 00:56:11,927
What else in your mind, you know, as your marketing brain starts to turn off because
you're so brilliant from this tech space, um what is it on your brain that you need to

714
00:56:11,927 --> 00:56:13,709
tell the world about this?

715
00:56:15,664 --> 00:56:27,732
I think everybody needs to start looking, especially business owners and tech people,
really need to start focusing in on the quantum encryption space.

716
00:56:27,732 --> 00:56:37,760
um The quantum computing space in general, but more specifically as of right now over the
next couple of years, the quantum encryption space.

717
00:56:37,760 --> 00:56:42,453
Every system worth protecting needs to get to that as soon as possible.

718
00:56:43,691 --> 00:56:47,970
And this matters to the average human being out here because...

719
00:56:48,781 --> 00:56:52,414
because it's your data, it's your livelihood, it's your money.

720
00:56:52,414 --> 00:56:57,339
um We rely on these systems.

721
00:56:57,459 --> 00:57:01,923
It's our hospitals, it's our infrastructure, it's our electricity.

722
00:57:02,204 --> 00:57:07,309
Our whole world evolves around technology these days.

723
00:57:07,309 --> 00:57:12,333
And if they're compromised, bad things happen.

724
00:57:12,413 --> 00:57:14,615
So we have to take it serious.

725
00:57:15,097 --> 00:57:24,361
So the big gotcha question at the end, where's Arthur Miller's bunker if the entire
technological system goes to trash?

726
00:57:24,361 --> 00:57:26,844
You got Zuckerberg building his in Hawaii.

727
00:57:26,844 --> 00:57:30,048
You got all these guys buying them in New Zealand, right?

728
00:57:30,169 --> 00:57:32,181
Where's Arthur Miller's bunker?

729
00:57:34,637 --> 00:57:37,248
There's a lot of places I like in the world.

730
00:57:37,849 --> 00:57:42,631
I'm an American through and through, so I would like to stay here for sure.

731
00:57:44,047 --> 00:57:49,235
I think if I could build it under my house that I have right now, I'd be good.

732
00:57:50,755 --> 00:57:56,789
To be honest, I've never shied away from things, so I'm probably not gonna start.

733
00:57:58,415 --> 00:58:00,315
Just going in with what we have going on.

734
00:58:00,615 --> 00:58:04,675
what we started out in the beginning, I got you before we started the recording.

735
00:58:04,675 --> 00:58:06,855
And I said, man, is this 2005?

736
00:58:07,035 --> 00:58:07,295
Right?

737
00:58:07,295 --> 00:58:15,035
Because Arthur Miller, who has the bigger brand right now until you turn this into the
trillion dollar company, wrote Death of a Salesman.

738
00:58:15,035 --> 00:58:17,435
So I said, you've read the book.

739
00:58:18,295 --> 00:58:26,195
What correlation or analogy or metaphor would you have from that book to the current
Arthur Miller of 2026 world?

740
00:58:27,328 --> 00:58:27,994
Oh boy.

741
00:58:27,994 --> 00:58:29,831
um

742
00:58:32,671 --> 00:58:36,413
I think there's a certain amount of value and principles.

743
00:58:36,413 --> 00:58:43,576
um Less so from the book, I think more so from the author's life.

744
00:58:43,576 --> 00:58:48,956
I think he personally was a pretty standard person.

745
00:58:49,031 --> 00:58:51,119
He dealt with a lot of issues.

746
00:58:51,119 --> 00:58:55,780
uh That's out now, like obviously in his personal life.

747
00:58:55,780 --> 00:59:02,381
uh But he still was um producing.

748
00:59:02,381 --> 00:59:08,494
He still smiled, still lived life and moved on from that.

749
00:59:08,494 --> 00:59:10,896
So I think that's a majority.

750
00:59:10,896 --> 00:59:12,237
Like we all face hardships.

751
00:59:12,237 --> 00:59:15,118
We all have our issues.

752
00:59:15,498 --> 00:59:23,863
You could look at the biggest tech billionaires in the world and um everybody faces
personal problems.

753
00:59:23,863 --> 00:59:27,365
Everybody faces adversities, um including them.

754
00:59:27,365 --> 00:59:30,466
So just being able to show up and

755
00:59:31,295 --> 00:59:37,018
help people and move towards solving problems and offering value.

756
00:59:37,278 --> 00:59:39,600
I think that's a big one.

757
00:59:39,600 --> 00:59:42,981
um And so that just always sticks with me.

758
00:59:42,981 --> 00:59:45,943
I see that in him and his personal life.

759
00:59:46,043 --> 00:59:47,444
I see that in myself.

760
00:59:47,444 --> 01:00:00,091
And I guess, if anything, my one goal would be to become a successful enough business
person that I eventually rank above him in Google searches.

761
01:00:00,929 --> 01:00:02,761
means you're going to do big things.

762
01:00:02,763 --> 01:00:03,614
All right.

763
01:00:03,614 --> 01:00:09,054
So yeah, so as a so as a tech entrepreneur now and CEO, you're in FinTech.

764
01:00:09,496 --> 01:00:11,069
Do you fit the stereotype?

765
01:00:11,069 --> 01:00:13,643
Do you wear the same clothes every day?

766
01:00:15,235 --> 01:00:19,281
I don't, but uh at home I do.

767
01:00:20,095 --> 01:00:21,887
I do show up to an office.

768
01:00:21,887 --> 01:00:24,952
I do show up in person to meet people and things like that.

769
01:00:24,952 --> 01:00:26,215
So I don't.

770
01:00:26,215 --> 01:00:29,279
But on the weekends, yeah, absolutely.

771
01:00:29,347 --> 01:00:32,206
Same color t-shirt, same pants.

772
01:00:32,206 --> 01:00:32,858
fit the mold.

773
01:00:32,858 --> 01:00:37,771
And they make an argument that that eliminates some decisions and choices you can focus on
life.

774
01:00:38,047 --> 01:00:40,589
Exactly, yeah.

775
01:00:40,589 --> 01:00:49,224
even my closet is laid out so that I grab the first thing and then the next day I grab the
next first thing and the next first thing.

776
01:00:49,224 --> 01:00:55,237
So, yes, eliminating decisions so that you can focus on what's important.

777
01:00:55,237 --> 01:00:56,938
You might be able to tell or maybe not.

778
01:00:56,938 --> 01:00:58,860
ah I don't comb my hair.

779
01:00:58,860 --> 01:01:00,661
um It's just a waste of time.

780
01:01:00,661 --> 01:01:03,802
I'd rather get to work and get to solving problems.

781
01:01:04,751 --> 01:01:06,551
True tech entrepreneur.

782
01:01:08,372 --> 01:01:09,232
Hey, thank you.

783
01:01:09,232 --> 01:01:10,303
Thanks for the time today.

784
01:01:10,303 --> 01:01:18,975
think any time that we can be enlightened, give you a platform to talk about your company,
what you're building, but also to enlighten the average day folks, you know, on what is

785
01:01:18,975 --> 01:01:19,255
this?

786
01:01:19,255 --> 01:01:19,715
What is it?

787
01:01:19,715 --> 01:01:22,566
Cause you know, you have a C to C brand.

788
01:01:22,566 --> 01:01:23,566
you have a B to B brand.

789
01:01:23,566 --> 01:01:28,097
You're not, consumers aren't really engaging with your company, but we hear these things
behind the scenes.

790
01:01:28,097 --> 01:01:33,783
And if we can give some understanding to this new world of, you know, encryption.

791
01:01:33,783 --> 01:01:40,548
and security and our money being handled, I think it just gives us a little bit more
perspective on what's going on and maybe a little bit more comfort and a little less

792
01:01:40,548 --> 01:01:48,815
anxiety to hear like, hey, there's people out here, good quality people that are working
really hard to solve these problems for us to make sure that we still get to these great

793
01:01:48,815 --> 01:01:49,675
lives.

794
01:01:51,875 --> 01:01:52,426
Thank you, man.

795
01:01:52,426 --> 01:01:53,357
We appreciate the time.

796
01:01:53,357 --> 01:01:58,563
Arthur Miller, Scottsdale, Arizona, FinTech brilliant genius.

797
01:02:00,185 --> 01:02:01,083
Thank you,

798
01:02:01,199 --> 01:02:02,479
I appreciate it.

799
01:02:02,479 --> 01:02:03,599
All right, Thank you so much.

800
01:02:03,599 --> 01:02:04,859
It is great to be here.

801
01:02:04,859 --> 01:02:06,299
I appreciate you having me on.

802
01:02:06,299 --> 01:02:10,927
Wonderful meeting you and talking and hopefully can be back on sometime.

803
01:02:10,927 --> 01:02:12,238
100 % man, thank you very much.

804
01:02:12,238 --> 01:02:17,554
When things are popping off, maybe you're the guy where like, hey, there's some crazy
stuff happening out encryption in FinTech world.

805
01:02:17,554 --> 01:02:19,615
We're getting Arthur on, reach out to him.