Aug. 30, 2023

Combating Financial Fraud: Fintech’s Game-Changing Role

Combating Financial Fraud: Fintech’s Game-Changing Role
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For so long, new tech has been utilized by fraud artists, costing many unsuspecting victims countless dollars. Now, AI tools and strong fintech partnerships could be used to stop fraud in its tracks.

With quickly evolving innovations, financial institutions must be at the forefront of tech. Kyle Hauptman, Vice Chairman at NCUA shares his views on the changes facing the industry and how they can be beneficial for everyone.

Join us as we discuss:

  • Adapt or close: staying relevant in today’s tech-powered world
  • The relationship between regulations and fintech partnerships
  • Preventing scams and fraud using revolutionary AI
WEBVTT

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You're listening to Leaders and Lending from
Upstart, a podcast dedicated to helping consumer

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lenders grow their programs and improve their
product offerings. Each week, here,

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decision makers in the finance industry offer
insights into the future of the lending industry,

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best practices around digital transformation, and
more. Let's get into the show.

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All right, thanks for making time
to join us on the podcast today.

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I really appreciate it, appreciate the
invite. So I'm looking forward to

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this conversation. I always like talking
about regulation and innovation, and those two

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of my favorite topics, and when
you smash them together, it gets me

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really excited. But I like to
start off every conversation asking people like,

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how did you get into the industry, because you know, I guess I

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you typically make the jolly. Nobody
really grows up dreaming of being a banker

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or a regulator or you know,
So, what was your path that led

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you to where you're at today?
Yeah, it was a winding path,

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Jeff. I'm a kind of a
career switcher, and you know, anybody

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out there, it can happen,
but it target to do one hundred and

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eighty degree. I wouldn't say that
I'd say it was like a ninety degree

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pivot. So I'm working. I'm
a financial regulator right now, right,

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and I worked in the financial industry
before, so it's a switch. Politics

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was always my first love, you
know, even as a weird child's you

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know, I got in trouble for
sneaking into the den after bedtime to watch

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member as a Democratic convention back then. I know, that's weird. I

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was like, you know, eleven
years old or something. And then you

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know, my interview was agree was
politics went into Wall Street. Twenty eleven,

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I was in Tokyo, I was
working. I was first out there

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with Leamon Ruggs. I was with
them when they collapsed, and then got

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another job in Tokyo. And then
in twenty eleven, I did my career

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switch, you could say, to
policy and politics. I moved to Boston

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to work for Mitt Romney's presidential campaign
and spent over a year there. Really

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enjoyed it. Obviously, he won
the primary, which he had lost in

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two thousand and eight, right,
so I didn't know how long I was

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leaving gonna be. He ran,
he lost in McCain and a wait,

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so this could have been a three
month experiment who knows anyway, got the

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nomination obviously, you know, Barack
Obama was reelected president. But I had

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enjoyed my year and change in policy
and politics. It was one of those

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things where following your passion actually worked, you know, sometimes doesn't. And

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then I decided to move to DC, where i'd never lived, you know,

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down from Boston. You know,
I'd met a lot of people over

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the campaign, and instead of coming
down to DC as a triumphant member of

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the incoming Remney administration, I was
just an unemployed guy looking for work,

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you know, got this little basement
apartment and looking for work. Wound up

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working for Senor Tom Cotton from Arkansas, worked for a great think tank,

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AI, a free market think tank, and was fortunate enough in twenty twenty

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to be nominated by President Trump,
and luckily enough Senators voted for meeting in

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the Senate confirmation process. And I'm
here, and I've got a couple of

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years left on my third It was
a little bit of a whining road.

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It's my sixth big city I've lived
here. But which this big city?

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Which do you have a favorite among
them? I know, you gotta stay

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in DC because otherwise we will get
angry at you. But like, outside

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of DC, what's been your favorite
spot? Well, by the way,

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step back a second. For those
of us who moved here for work,

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it's common knowledge, like you're kind
of supposed to just DC like the swamp,

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you know, you know, especially
if you're an elective member, because

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who elected you to people of DC? No, it was the people of

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Arkansas or California. But so I
lived in Boston, New York City for

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six years, Los Angeles for nine, DC for ten. Now, it

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was in Tokyo, Japan for five
years, and Sydney, Australia from one.

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I would say Tokyo of those,
First of all, it's just a

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great city, but also because you
know, as an American, as a

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Westerner, to me, that was
the most interesting, that was most different.

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You know, It's absolutely terrific time
in my life. Love, and

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I'm planning a trip with my family
to Tokyo in Japan more broadly in the

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next year. So we're starting to
work through our tindery. It's a it

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is a it's a beautiful place,
and those cultures that are so different do

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give you the chance to step back
and think of things for a different perspective

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kind of get a different view of
the world, which I think is really

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good for you to see things from
a different end. Neat, but such

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a polite worlds in Tokyo is this
giant city, right, I mean,

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it makes DC look like a small
town. But what's neat is it's just

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so safe and polite. You have
everything in a big city. You know,

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a million restaurants and nightclubs, got
you know, anything you want to

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do in the city is multiple baseball
I recommend a baseball games for the during

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a season, but you can walk
home at night at three o'clock in the

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morning, dropped the walling on the
street, and go get it the next

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day. I mean, it is
uh, it's kind of neat to have

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that. Uh, as you probably
already know it. Tokyo and DC have

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identical climates, hot, sticky summer
a winner, that's you know kind of

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yeah, and uh, there's the
same latitude east facing of a continent.

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And the cherry trees, you know, are a big thing in DC,

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a cherry blossoms. Those were obviously
a gift from Japan. One of the

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reasons they were a gift from Japan
is our two capitals Tokyo and DC have

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the same climate, so the cherry
trees can grow, can blossom. Yes,

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they would not have given the cherry
trees as a game to the King

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of Sweden. They would not have
given it to you know, the Prime

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Minister of Jamaica, right because right
and now they're famous in DC. That's

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well, I want to dive into
the topic of kind of innovation today and

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then a little bit on like you
know, how you use a regular support

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there. But I first want to
kind of start with, you know,

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what's your perspective on the need for
credit unions to innovate? Is that you

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know, where do you said on
the kind of like don't don't break,

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don't fix what ain't broken, and
like we really have to think about the

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future is coming fast and how do
we adapt to it. What's your perspective

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on where credit unions need to be
in that? On that spectrum, I'm

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over the view that innovation is necessary, always was, is now and always

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will be. That it's you know, innovator die that said, the core

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of it, what these institutions do
has not changed literally for centuries. You

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know, they help people with their
financial management. Money goes in, money

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goes out, you lend it,
make payments, so that core of it

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hasn't changed in that sense. Yeah, but you know they've always innovated.

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You know, they were there early
with ATMs, you know, way back

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in the day, and network with
each other, credit unions you know,

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for that matter, and banks,
and it's all very different and it always

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has been. We could not have
even had this. We're doing this on

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video right now, teams. We
couldn't have done this twenty years ago,

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you know. So they have to
innovate. And I tell you this as

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a regulator, it is hard because
of the way bureaucracies are to develop a

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tolerance for some failure because experimenting,
right, the word experiment means you don't

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know what gal come is. Yeah, And it's not really the fault of

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the agency so much. It's just
the nature of it where examiners and they're

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supervisors and stuff, they get heat
when something bad happens, you know,

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they say, oh, you know
what happened at Silkon Valley Bank. Wait,

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who's their examiner or that Jeff Keltner
guy, you know. And but

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meanwhile, when they innovate and it
goes well, you don't really get you

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don't get a bonus or anything really, you know, so it's kind of

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downside focused. So we have to
say listen, you know, just give

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me your technologies. I know you
and I might want to talk about digital

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assets. You know, people ask
me. I've had a journalists kind of

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well known in the financial world.
I said, you know, you were

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gonna let credit uns use you know, blockchain, digital assets. You worried

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w problems and like my worrid grade
problems. I know this is gonna be

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problems. Every new technology does,
right, you know. And you know

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I always say you guys know this, Jeff that there was zero plane crashes

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before we had planes. I think
I could have pieced that one together.

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No, thousands of years, it
was zero. You know. Uh,

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you never had a computer virus before
you had a computer, you know,

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so there's always no problems. It's
always two steps forward, once step back.

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But yes, they definitely have to
innovate, and as a regulator,

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we have to have some tolerance for
failure because that's the only way for long

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term success and not try to prescribe
it. You know, we don't want

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to say this vendor, this partner, this fintech firm, they come to

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me all the time and show me
their fintech and I said, right,

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that's cool, but we we don't
have a white list, you know,

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of vendors, and I think that
would be dangerous to do, so,

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you know, so anyway, that
was a long answer your question, but

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there you go. I'n't ask two
follow ups to that because I think there's

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two kinds of like fear of failure
that happened in the institutions. One is

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to just like many financial institutions are
conservative by nature and tend to have a

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you know, the same thing you're
talking about the regulators. They have a

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kind of lots of people who can
say no, a few people who can

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say yes, like kind of institutional
inertia to them in terms of making decisions

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about trying something new. So I'm
curious about putting the regulator aside. And

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that'll be my second question. But
first, like, do you have advice

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on how you as an institution go, hey, we're gonna start fostering supporting

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more of this, because you know
that, I feel like it's unnatural for

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many financial credit us, maybe a
little less so than that of the larger

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banks I've seen that are really have
a lot of eurocracy that's kind of tends

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to be stasis. You know,
it's that is quote oriented. But what's

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your advice on how you as an
institution develop the muscle for trying new things,

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experimenting and being tolerant and failure.
First of all, I like that

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how you put that. I'm gonna
try to remember to use that. Meaning

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what you said about these institutions that
are set up that there's a lot of

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people who are allowed to say no
and not many people who are allowed to

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say yes. I like how you
put that. I hadn't thought of it

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that way. One thing I always
say is, and it's not always a

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pointball, but is fail small if
you can You know, it always depends

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on what you're trying to do.
Have a five dollar failure, don't have

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a five million dollar failure. You
know, have you know, just your

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career is not going to go south
because you tried something that didn't work.

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Maybe you wasted some time, maybe
you wasted some money. Your career is

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going to go south when you tank
the entire thing. Yeah, when you

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have a faire So again, it's
not a likable all the time, but

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test something, try a little transaction
right for it, you know, yeah,

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yeah, just test test, test
test, try to minimize your failures.

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I mean, it's an obvious point. But you know, before you're

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you know, as my own boss
would say, is from the army.

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You know, before you're playing with
live rounds. You know, I fail

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small if you're going to fail.
I like that because it also it's something

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I think a lot of institutions a
lot of people forget, which is they

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want risk management to be like a
black white yes, no, hey,

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this is good, this is bad. And sometimes you say, well,

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we're going to manage the risk by
saying it's a little bit of great,

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We're not sure what will happen,
but we're gonna we're gonna put it in

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a small scale. So our risk
management isn't that we've prevented any possible issues.

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It's that we've limited the scope of
where the issues can impact, and

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we can learn from that and then
it goes well, and we can expand

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the idea of managing risk not by
eliminating the possibility of us but managing the

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scope of impact in the case that
something goes wrong. I think is a

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really interesting approach. That is that
is often people just want to like we've

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totally this thing down. Well,
innovation, you can't. You can't always

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do that, but you can't limit
the scope of what what you're taking on

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is kind of the unknown. Yeah, it comes up a lot in government

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and regulation. Some countries, some
states within the US has done a good

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job with you know, they call
him sandboxes, regulatory sands. You know,

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as long as you stay within these
parameters, which basically are all about

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that, do not blow up the
world. Okay, but you can try

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something now, you can try something
that isn't explicitly authorized, right, as

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long as whatever the problem is doesn't
bring down the institution. And NCUA just

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a backup set. You know.
We are the ensure for America's almost five

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thousand credit unions and the regulator for
about two thirds of them. The rest

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are state charters. But anyway,
what we care about, we're like every

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other insure in the world. We
care about having to write a check,

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having right acclaim. Like every insure, you like taking in premiums and you

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don't like writing big checks out that's
wherever you is. So the main thing

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is, don't make us have to
write a big check. Do whatever you

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want, but don't you know,
at the end of the day, that's

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what matters. But cost benefit.
Yeah, and I say this all the

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time at my agency. You know, you have to realize not innovating as

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a risk. Once you realize that
staying, you know that you will hit

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an iceberg evention. So once you
know that not changing is the riskies,

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it can change your cost benefit.
I think in a positive way. It's

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kind of a freeing lindset too,
to get out of the zero risk,

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zero issue mindset into the like how
do I manage it? I think it

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can be a relief when you can
actually convince yourself to go that way.

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Yeah, you try ten things,
one goes wrong? Wait, nine one

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right, Yeah, all right,
that's pretty good. Let me ask you

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that fall up to that, which
is the how do you think about how

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a financial institition should should approach their
regulator in the context of innovation, because

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I've seen in the number of institutions
I've worked with, credit unison bakes very

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different approaches from kind of like we
get everything totally finalized and don't tell the

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regulator until it's out the door,
too, going to call them and tell

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them what I'm thinking and see what
their perspective is what's your model for effective

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engagement with the regulator by a financial
institution on the topic of new, different

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innovative programs but using some of these
new technologies we'll get into in a minute.

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Are you a engage early and often? Are you a kind of button

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it up? Like how do you
like to engage with your financial institutions on

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this kind of stuff? All right, So you know I always tell people

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you can go to me. Listen, Vaud in the credit union world is

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listening. Ka Holtman at ncway dot
com. You can email me, okay,

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but that's only worthwhile for the next
couple of years. But you know,

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I have to find a new job
somewhere. But listen, the world

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is never going to be the way
I want it to be. What you

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can have free flowing back and forth
as long as there's someone who's your regulator,

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who can shut you down, who's
giving you grades. You know,

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in the credit union banking world,
we give her aport card one through five.

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One is good, five is bad. It as long as there's somebody

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with government power, it's never going
to be free flowing. And I know

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some regultors think, oh, we
have regalnership. I assure you they're not

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speaking to you the same way,
right, you know, it's like speaking

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to a police officer at the end
of the day. They have a badge

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and a gun and you don't.
You know, so I and you know,

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I want to promote my I'm proud
of a couple achievements. You know.

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We now have Uber style feedback,
you know, like a quick five

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questions, you know, after the
survey, and I'll give credit to the

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Biden wine House for the regular agencies
that are not independent, He's also required

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all of them to have like one
through five stars for regular government service.

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Does not apply to financially as because
we're independent, we don't fall under the

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executive branch precisely. But like if
you're a veteran, you go to be

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a hospital house your care, you
know, and it's especially important for Monopolis.

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But in terms of communication, we
have like five questions. I make

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sure the last one will you know
the sixth question is open and says what

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other questions beyond the survey? That
helps with communication because the questions you're asking

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signal, Right. I always show
people that the photos of your Uber and

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left and right at the top you
know when you do your stars. Both

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of them asks right away they have
cleanliness up at top. One of them

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calls it l nest you can click
on that and then clean card. The

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other one says, what does that
mean? Both the driver and a passador.

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Every single time we're being asked by
cleanliness, that is uber and left

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communicating signaling that that's important, that
little piece of real estate. So we've

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done that, and I think that
also shows we want your feedback. A

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lot of agencies only had an on
busman line with somebody, a complaint line.

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That's all they had. And I
was like, you guys, if

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you're you're signaling you don't care that
much, because it's really easy these days

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to do you know, uh in
uber and left or to ask hell,

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you can't even order another pizza before
you rate the last guy, you know.

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Yeah, So anyway, I'm going
off topic. My point about communication.

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It's been important to me some transparency, normal private sector transparency. We've

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brought that to the agencies, so
I think that matters. It is signals

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that that you should be a little
more comfortable calling me because you know we

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care. We're signaling it. After
every example, also recording at least for

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the two thirds of the credit units
that are federal charters, were encouraging recording

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of the exit interview. You have
an exams a couple weeks, examiner is

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going to leave. They give your
grade to the board of directors to record

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that, just because it's useful information, you know. So anyway, so

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on the topic communication, you can
tell them passion about it drove me crazy

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when I dealt with regulators in my
prior life anyway. But because no matter

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what we do, there's that differential. You know, it's talking to a

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cop, you know, even if
it's just on the street. You don't

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speak to them like you're friend at
the bar. You know. This is

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why trade groups are useful, because
we don't regulate them. They can put

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their head above the tree line.
The trade group a vendor, I'm using

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a term vendor. But fintech partners, we're not their regulator. We're not

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there insurer. So the credit union
usually don't come to us and say,

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uh, you know this really cool
fintech talk to us. We're wondering if

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we can do it? Are we
gonna get in trouble? Is that all

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right? They are afraid to say
that right, because what's the one thing

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they know. They know that if
you might deem a risky, so have

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other people who we won't regulate and
ensure if possible. Credit unions usually have

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a state league or a combination of
states. You know, there's like a

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New England one. You know,
there's a DC Virginia DC Maryland one.

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Have them, that's what they're for. Have them put their head above the

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tree line, you know, or
the national groups, or have the fintech

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vendor or hell they're venture capital firm
then investment, having them talk to us.

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If you credit union person, don't
want to put your head above the

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tree line, because it happens all
the time. You know. You have

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somebody call you a salesperson, Hey, we want to work with you credit

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and we want to partner with you. We want we want you to buy

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our product. And people say,
you know, I'd love to, but

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you know, the government man,
the regulator, you know those guys.

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Sometimes that's just an excuse to get
the salesperson off the phone. That happens,

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but sometimes it's legit, you know. So that's what I would say.

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Number one, I want to be
communicative. We're trying to be more

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responsive. We made legitimate strides on
that recording and those ubstyle feedback emails.

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But also if you're concerned about it, or you say, hey, one

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hundred credits want to try his fintech
partnership, why should I? You don't

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one who puts my hands up and
brings it up, right, Have someone

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else do make a call, have
the conversation, have the meaning your fintech

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firm. They have a financial interest
in doing this, you know, having

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your league organization, have your trade
group. That's what they're for, all

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right. I want to dive into
a couple of the actual technologies here,

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and there were two that came up
when you and I spoke earlier. The

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first is one that I feel like
has gone out of fashion, so I'm

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I'm curious to get your perspective it, which is digital assets, because I

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feel like, you know, the
the interest in digital assets and blockchain technology

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seems to swing with the price of
bitcoin, and the price of bitcoins has

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been up and down and all over, and not that that's a good metric,

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but how do you think about you
know, is that going to be

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a valuable technology? Was it a
flash in the pan? What do you

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think the future is on the on
the front of digital assets and blockchain.

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Yeah, it's funny, you know
behind me here in my I CNC on

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you know, without the sound,
and something's changed that I think probably will

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be with us, which is,
you know, down the bottom of the

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corner they have the stock index is
dal Jones SMP, you know, part

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of their things. They have the
bitcoin place right and they'll leave the switch.

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They have ether. You know,
I don't know if that's going away

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anytime soon, but I hear you
on that on that the interested bubble.

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Listen, it's the gold rush stage. We've seen all this before, Jeff.

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There's a gold rush stage where some
of the things is a pile of

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money and people rush in dreamers,
thinkers, and you get overvalued assets sometimes

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and you get bubbles, and you
get bad business models that we only find

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out when there's a crash, and
you get some flat out scammers and con

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00:19:36.559 --> 00:19:41.000
artists. Anytime there's a bunch of
money, people think. We saw this

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twenty five years ago with the Internet
bubble. Right, a lot of people

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first heard the term dot com not
from using any product, but from the

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investment world. Oh this IPO triple
people are making money. You know ads

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for a merrit trade. You know, hey, make a bunch of money,

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and remember those ads that you know, some kid has a yacht,

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you know, and and then remember
it all crashed and then tons of people

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lost money and tons of empty office
space. It's all gone vaut. But

328
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that was the investment bubble side of
it, and you hit right on it

329
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the price of bitcoin. Okay,
put that aside. When the Internet crack

330
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and all those things, loss of
money, some lumber, bad companies.

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There were also scams and some of
those models are just were before their time.

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But put all that aside. When
the Nastat crashed in two thousand,

333
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was that a fat will hold on
the investment bubble that happens this new thing

334
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called the Worldwide Web. That was
not a fad that has changed all of

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our lives. We couldn't even be
doing this interview right now. So once

336
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you shift away all the debris and
you have a helpful bear market, because

337
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that's what cleans out a lot of
problems. It also cleans out scams and

338
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con artists. Member made off was
only found out because of the financial crisis,

339
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right, he could have kept on
going. Bear markets are useful.

340
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They cleared the brush out, you
know. So yes, I think when

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it's all of a sudden done,
they'll be concrete, actual uses. Right,

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00:20:56.799 --> 00:20:59.759
We're already saying it with instant payments
around the world, different currencies,

343
00:21:00.680 --> 00:21:06.079
stable coins very useful. We're seeing
disasters happen and people can send money instantly

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for people to use. You don't
have to run it through bureaucratic charities.

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I've seen people do interesting stuff on
the identification. It reduces fraud trying to

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figure out who somebody is. You
can also help people who are kind of

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marginalized, like prisoners get out.
They don't have a valued ID. They

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can't get going with their life,
to get a job until they have ID.

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I find out a little weird,
Jeff, and I think you too,

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because if there's anyone who's identity,
the government should absolutely be if it's

351
00:21:30.799 --> 00:21:33.480
the guy they locked up for the
last twenty years, right, Meanwhile,

352
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they walk out with no ID.
So so it's fraud reduction, it's access

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or services, and it's quicker onboarding. That sort of thing. That's a

354
00:21:42.079 --> 00:21:48.880
concrete use of blockchain technology. Obviously, blockchain being the underlying technology behind bitcoin,

355
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and we've seen a few of these
things and just tokenized assets. Right

356
00:21:53.359 --> 00:21:56.240
again, like you said, a
lot of things on people buying this coin

357
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or that coin and make them money. What about regular since we already have

358
00:22:02.559 --> 00:22:07.400
various loans, et cetera that are
just tokenized, they're just easier to distribute

359
00:22:07.559 --> 00:22:10.079
on a piece of right, things
that were very hard to break it to

360
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pieces before, so tokenized assets.
And I bet it's just like the Internet

361
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in nineteen ninety nine, where it's
a whole world of things that I can't

362
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think of right now. Remember how
the Internet started. All it was was

363
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literally the web, meaning it was
a web page and you typed it an

364
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address and you went to it and
you saw a page and went to another

365
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one. Well, that later became
apps that were only possible because of like

366
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GPS. Half the apps I use
wouldn't be possible without if I didn't have

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a mapping app. You know,
it's not necessarily going to a web page.

368
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We're using the Internet all the time
and lots of things. So anyway,

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my point is I'm just trying to
be humbled and trying to say,

370
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well is this use case and that
use case? Yeah, I can think

371
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of something, I have seen something, but my guess is it will be

372
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something very different, you know,
than the ones I can think of right

373
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now. Put it that way,
But Jayline uses put aside the bubble.

374
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We've seen this before, and it's
kind of good. We had cryptome theory

375
00:23:00.000 --> 00:23:03.559
cleans out a lot of bad actors. Yeah, we've seen We're gonna give

376
00:23:03.559 --> 00:23:04.640
you a watch. A few of
the bad actors get cleaned out here over

377
00:23:04.680 --> 00:23:10.359
the next couple of a couple of
months, I think in dramatic let's talk

378
00:23:10.359 --> 00:23:12.559
about one other technology area that I
think is pretty interesting, obviously near and

379
00:23:12.599 --> 00:23:17.039
dear to my heart, which is
AI. Where do you I feel like

380
00:23:17.119 --> 00:23:21.000
that's one that's maybe a little farther
along the hype cycle at least we're seeing

381
00:23:21.119 --> 00:23:25.960
more more concrete use cases in many
ways like live today and production, often

382
00:23:26.000 --> 00:23:27.839
behind the scenes. But what's what's
your take on where we're at in the

383
00:23:29.000 --> 00:23:32.680
evolution of AI and the adoption of
that in different areas within the Credit Union.

384
00:23:33.119 --> 00:23:37.160
Well, if if I use the
Internet as the analogy for digital assets

385
00:23:37.440 --> 00:23:41.240
in the sense that there was a
hype and a bubble, but at the

386
00:23:41.319 --> 00:23:45.839
end of the day, there were
very good uses the AI. One is

387
00:23:45.079 --> 00:23:51.039
conference with the Internet in the sense
that normal regular people can see cool uses

388
00:23:51.079 --> 00:23:55.160
in front of them. A lot
of cool things you don't necessarily see.

389
00:23:55.799 --> 00:23:57.400
So like, for example, let's
go back and box to en for a

390
00:23:57.400 --> 00:24:00.160
second title. If you ever real
estate in this country, you know how

391
00:24:00.480 --> 00:24:04.440
creaky are a sort of title insurance, you know, making sure that the

392
00:24:04.480 --> 00:24:08.119
house I walk from Jeff was actually
just to sew man well. People may

393
00:24:08.240 --> 00:24:12.880
benefit when that title is transferred digitally
as an NFT. You the mortgage buying

394
00:24:12.920 --> 00:24:17.200
a new home. You don't even
know that it happened. The title went

395
00:24:17.279 --> 00:24:22.559
from the seller to your lender.
You benefited, perhaps in lower title insurance

396
00:24:22.599 --> 00:24:25.240
in the process. You don't even
realize you did. Right, There's a

397
00:24:25.319 --> 00:24:29.000
lot of things we benefit from.
We don't see AI anybody on their phone

398
00:24:29.119 --> 00:24:33.119
or a computer or even just viewing
it. Hell, I keep seeing Instagram

399
00:24:33.240 --> 00:24:37.480
posts from cool AI generated art.
I didn't even have to use it myself.

400
00:24:37.240 --> 00:24:41.640
I can already see it without touching
AI. So in that sense,

401
00:24:41.720 --> 00:24:45.599
people can see it and learn it
the way that you know, the first

402
00:24:45.640 --> 00:24:47.960
time you got on the internet,
you're like, man, this is cool.

403
00:24:48.039 --> 00:24:52.440
I can read the newspaper from another
city. You know AI. You

404
00:24:52.519 --> 00:24:55.440
can do it, and it's neat
and I think concrete uses, you know,

405
00:24:56.559 --> 00:25:00.359
call centers. You know, we
got people calling in in many,

406
00:25:00.440 --> 00:25:06.160
many languages just in the United States. Yeah, and it's hard to hire

407
00:25:06.279 --> 00:25:10.759
customer service people who are fluent in
English and Ethiopian language, like if you

408
00:25:10.799 --> 00:25:15.720
have it in DC or Ukrainian.
So there's neat neat neat uses. The

409
00:25:17.480 --> 00:25:19.240
politically, the one you hear about
here in DC is lending. You know,

410
00:25:21.119 --> 00:25:22.240
is it going to be fair?
Is it going to discriminate? You

411
00:25:22.319 --> 00:25:30.559
know, and people think that humans
can't be discriminatory lending it. And then

412
00:25:30.960 --> 00:25:33.079
when you make a machine that's just
supposed to analyze it rationally, maybe that

413
00:25:33.200 --> 00:25:36.039
goes two. I don't know,
but that's the one you hear about.

414
00:25:36.240 --> 00:25:37.720
I think it's going to change a
lot of things. Lending decisions for sure.

415
00:25:40.359 --> 00:25:44.839
Yeah, you know we have you
know, the FICHO world, you

416
00:25:44.920 --> 00:25:48.079
know, may decrease in value in
terms of its importance. You know,

417
00:25:48.359 --> 00:25:52.759
it may be a variable because you
can analyze so many other things. And

418
00:25:52.960 --> 00:25:56.759
fraud detection, Yeah, fraud's a
big one, because that's a there.

419
00:25:56.039 --> 00:25:59.960
It's really interesting to me that a
lot of people think of AI in term

420
00:26:00.200 --> 00:26:03.079
of the large language models that chat
and GEPT kind of conversing with a model

421
00:26:03.119 --> 00:26:07.640
in some way, but in many
ways, the lending and fraud detection problems

422
00:26:07.680 --> 00:26:11.680
are like the perfect problems for the
algorithmic side of AI, because it's like,

423
00:26:11.720 --> 00:26:14.640
what do you need a lot of
data? You need a lot of

424
00:26:14.720 --> 00:26:18.359
examples you're trying to find up make
a prediction about something that doesn't happen.

425
00:26:18.400 --> 00:26:21.200
Then often you well, hey,
yeah, like loans are we got tons

426
00:26:21.200 --> 00:26:22.240
of data, We have lots of
history and who's paid back and not,

427
00:26:22.319 --> 00:26:26.000
and we can make really smart decisions, and it turns out there's quite a

428
00:26:26.000 --> 00:26:27.400
bit of inefficiency in the space.
And the same thing is true of fraud.

429
00:26:29.279 --> 00:26:30.720
You know, lots of data points, very difficult to analyze as a

430
00:26:30.799 --> 00:26:34.480
human, thousands of pieces of information
about how this individual acted, but but

431
00:26:34.599 --> 00:26:37.359
yet at the same time, very
clear signals when you can piece them together.

432
00:26:37.440 --> 00:26:44.519
So I think, yeah, frosters
ones who are you know, good

433
00:26:44.559 --> 00:26:48.079
at fraud? They know how the
current system works and they know how to

434
00:26:48.160 --> 00:26:51.559
gain it and work around me.
The whole point of AI is not is

435
00:26:51.640 --> 00:26:55.599
that which the human mind does not
necessarily see the problem up front? You

436
00:26:55.680 --> 00:26:59.640
know, yeah, really, the
majority of righting there was the last two

437
00:26:59.720 --> 00:27:02.839
years have gone down in America.
We've had to take over well because of

438
00:27:02.920 --> 00:27:06.920
fraud. Now that's partially because we've
had a pretty good economic times with load

439
00:27:06.960 --> 00:27:10.920
delinquent seas and everything, so we're
not having a lot of credits claps because

440
00:27:10.960 --> 00:27:14.319
of standard economic reasons. But yeah, I think four to seven last year

441
00:27:14.440 --> 00:27:18.440
were a fraud. So that's that's
one neat thing. And you know there's

442
00:27:18.799 --> 00:27:23.839
uh, you know Joe and Barefoot. Okay, I was on her podcast.

443
00:27:25.359 --> 00:27:26.960
Like all three NCA board members,
myself, Todd Harper, and Running

444
00:27:26.960 --> 00:27:30.000
Hood have been on it. She
did one a couple of months ago.

445
00:27:30.039 --> 00:27:36.119
Do you know who her podcast guest
was. I'm gonna guess yeah, that

446
00:27:36.160 --> 00:27:37.960
would that makes sense given the conversation, that's fascinating. I need to go

447
00:27:38.039 --> 00:27:41.680
listen to because I'm very curious how
chat you could see now, it wasn't

448
00:27:41.680 --> 00:27:45.200
even like a Smart Ai. The
voice sounded like Siri like you could kind

449
00:27:45.240 --> 00:27:48.240
of tell it was a computer.
Now, so what she said this is

450
00:27:48.319 --> 00:27:51.400
I think she called it dumb agi. I mean, it wasn't trying to

451
00:27:51.440 --> 00:27:53.519
rep it sounds like talking to Syria
on your phone. But you know,

452
00:27:53.799 --> 00:27:59.799
they had an in depth conversation on
American Financial regultary policy. And you know,

453
00:28:00.039 --> 00:28:03.240
I just yesterday at a conference I
just got home from New Orleans sean

454
00:28:03.359 --> 00:28:08.880
scream interview Joe Rogan and Steve Jobs. Steve Jobs died several years before Joe

455
00:28:10.000 --> 00:28:14.880
Rogan ever had a podcast. Yeah
and check it out. It wasn't Joe

456
00:28:15.000 --> 00:28:19.279
Rogan talking to a AI Steve Jobs. Neither Joe Rogan or Steve Jobs had

457
00:28:19.279 --> 00:28:22.480
anything to do with this. Both
were AI. Both in their own voices.

458
00:28:23.079 --> 00:28:26.319
You and I could sit in the
car drive for twenty minutes, listen

459
00:28:26.319 --> 00:28:30.839
to podcasts and think it was those
two. Or if you knew Steve Jobs

460
00:28:30.880 --> 00:28:33.599
died a while back, you'd say, oh, I guess Joe Rogan got

461
00:28:33.640 --> 00:28:38.440
an AI Steve Jobs. But it's
not. They're both entirely AI, with

462
00:28:38.599 --> 00:28:42.000
their sensibilities, with their accents,
with their voice, saying the stuff they

463
00:28:42.000 --> 00:28:48.359
would say, absolutely fascinating. So
we talked about fraud detection. You know,

464
00:28:48.599 --> 00:28:52.559
if somebody can call up and sound
like me and look like me on

465
00:28:52.680 --> 00:28:56.440
a video or whatever, all technology
will be used by a scammer. All

466
00:28:56.519 --> 00:29:00.920
technologies helped to fight scams, right, so that'll happen both ways. Anyway,

467
00:29:00.920 --> 00:29:02.759
I'm babbling a little bit, man, But I just think ay I

468
00:29:02.880 --> 00:29:06.240
is super cool, it's super fight. It's a wrong way to go.

469
00:29:06.559 --> 00:29:10.319
Yeah, yeah, I mean I
think it is interesting that we see this

470
00:29:10.440 --> 00:29:14.880
real push against a eye because of
the potential downsides or mali uses. Right.

471
00:29:15.000 --> 00:29:17.880
Politics is a huge area where you
can start to make it look like

472
00:29:17.920 --> 00:29:19.799
somebody said something that they didn't say, and it can be very very convincing.

473
00:29:19.839 --> 00:29:23.079
We received a fundraising call and it
wasn't them, you know, it

474
00:29:23.160 --> 00:29:27.240
wasn't made the media. Listen,
you should be scared of the problems.

475
00:29:27.319 --> 00:29:30.160
Oh you bet. Remember what I
said about no plane crashes where it plays.

476
00:29:30.440 --> 00:29:33.759
But they're going to be here anyway, so I assure you. So.

477
00:29:37.640 --> 00:29:40.720
Yeah, that's right. Like from
fire on, there has been the

478
00:29:40.799 --> 00:29:45.799
possibility for good and ill uses of
every every technology that's ever been developed by

479
00:29:45.839 --> 00:29:48.440
human Yeah, and all just like
digital asses. I think America twice,

480
00:29:49.319 --> 00:29:52.960
you're gonna get the downsides in the
long run, anyway, do you want

481
00:29:52.960 --> 00:29:57.240
to at least get all the upsides? And America won the Internet so well.

482
00:29:57.319 --> 00:30:00.839
And I'm a Republican, but I
was praise Clinton. Gore administration put

483
00:30:00.880 --> 00:30:04.400
out early guidance nineteen ninety seven for
the internet, and we got all the

484
00:30:04.480 --> 00:30:07.680
negative everybody else. You know,
all the video jobs, video rental jobs

485
00:30:07.720 --> 00:30:11.480
were gone, the travel agens,
we got all the downside, you know,

486
00:30:11.559 --> 00:30:15.440
print media, we lost all those
jobs like everybody else. But we

487
00:30:15.559 --> 00:30:18.680
also got the most upside. You
know, the block Westing Video is gone,

488
00:30:18.720 --> 00:30:22.640
but we got the headquarters for Hulu
and Netflix and the investors that got

489
00:30:22.720 --> 00:30:25.440
in and make money and the people
had life changing. Well, you know,

490
00:30:25.640 --> 00:30:27.200
we got all the upside AI.
We're gonna get the downside, right

491
00:30:27.960 --> 00:30:32.000
we can try to stop in this
country. Even if we succeeded in slowing

492
00:30:32.039 --> 00:30:34.160
down AI. Well, the rest
of the world is not going too so.

493
00:30:34.799 --> 00:30:40.839
Our history in this country has always
been embracing the upside, knowing full

494
00:30:40.880 --> 00:30:44.079
well we're gonna get the downside anyway. But man, it is it is

495
00:30:44.119 --> 00:30:47.799
neat stuff. Yeah, I feel
like it's a very difficult topic to talk

496
00:30:47.839 --> 00:30:51.160
about and too much depth on the
podcast because whatever you say is can I

497
00:30:51.240 --> 00:30:52.839
feel like right now you're going to
be out of datas in a week or

498
00:30:52.880 --> 00:31:00.279
two anyway, because they maybe I'm
not really Kyle having maybe you're not really

499
00:31:00.319 --> 00:31:04.279
defth you know, Oh, don't
tell my wife. All right, I

500
00:31:04.359 --> 00:31:08.599
got three questions. I like to
end the podcast with that. I kind

501
00:31:08.599 --> 00:31:11.920
of ask all my guests, so
I'd love to ask them of you now.

502
00:31:11.920 --> 00:31:15.359
And the first one is what's the
best piece of career advice you've ever

503
00:31:15.440 --> 00:31:19.000
gotten? I'd say one practical one. It's great. The laster you reply

504
00:31:19.079 --> 00:31:22.599
to, the faster you reply to
an email, typically, the less you

505
00:31:22.640 --> 00:31:27.440
have to say, oh, interesting, tell me more about that. The

506
00:31:27.559 --> 00:31:30.519
longer you let it sit, the
more of like a longer answer, you

507
00:31:30.599 --> 00:31:33.480
know, or if it's on a
whole bunch of people and you chime them

508
00:31:33.519 --> 00:31:36.920
in first you can say the most
basic, simple thing, get out of

509
00:31:36.920 --> 00:31:38.480
the way. The sixth person to
reply has got to be a little more.

510
00:31:38.960 --> 00:31:41.480
You know, you had it.
The quicker you reply, less you

511
00:31:41.519 --> 00:31:45.279
have to say. And I'll just
do one more, which is broader,

512
00:31:45.359 --> 00:31:48.720
which is just one word. People. You know a fabulously successful guy when

513
00:31:48.720 --> 00:31:52.079
I was working at Lehman in Australia. You know, it's actually Vietnamese immigrant

514
00:31:52.119 --> 00:31:56.119
to Australia, the incredibly wealth and
he said, it's people. There's a

515
00:31:56.160 --> 00:31:59.599
lot of things, but it's people. People people people. You learn skills,

516
00:31:59.640 --> 00:32:02.279
you get you have that, you
get degrees. Someday you might not

517
00:32:02.319 --> 00:32:06.359
get a job because and you don't
even realize it, someone didn't like you,

518
00:32:06.920 --> 00:32:09.720
right, beetle lights. And in
this town, in particular, in

519
00:32:09.839 --> 00:32:15.039
DC, an astonishing number of decisions
are made by people in their twenties.

520
00:32:15.319 --> 00:32:19.640
You go to Capitol Hill, you
know, there's a lot of white haired

521
00:32:19.680 --> 00:32:24.640
centers being walked around by twenty six
year olds, you know. And so

522
00:32:24.920 --> 00:32:28.839
even though I'm sort of you know, call it mid career now a man,

523
00:32:28.880 --> 00:32:30.160
I always made a point when I
would get these, you know,

524
00:32:30.519 --> 00:32:34.319
real polite linkeding messages here, mister
Altman. You know, I see you

525
00:32:34.359 --> 00:32:37.920
work in the Senate Righting Committee.
Can I speak with you three years later?

526
00:32:37.000 --> 00:32:40.519
That person to be high and try
to Presidential Personnel office, you know,

527
00:32:42.039 --> 00:32:45.319
like so people people people. I
don't want to sound too machiavelliant about

528
00:32:45.359 --> 00:32:50.920
it, but it's it's just a
better life when you want to be respectful,

529
00:32:51.920 --> 00:32:54.160
honest. When I worked on the
Hill, I was routinely asked to

530
00:32:54.319 --> 00:33:00.079
leak information, and I put the
short term gain out of pleasing whoever that

531
00:33:00.319 --> 00:33:04.240
was a journal a lobbyist, whoever, for my long term reputation. But

532
00:33:04.319 --> 00:33:07.039
people, people pee people, Yeah, blow you people above you. People

533
00:33:07.119 --> 00:33:13.119
next you being well liked and respected. Stop right there. You're ahead of

534
00:33:13.160 --> 00:33:15.240
a lot of people, and it's
just very important, and it's going to

535
00:33:15.319 --> 00:33:19.519
come around in waves that will blow
you away. You know. Yeah,

536
00:33:19.599 --> 00:33:22.440
there's a concept I've heard from a
few people now called the infinite game,

537
00:33:22.480 --> 00:33:25.559
this kind of idea that if you're
you know, you can think of things

538
00:33:25.559 --> 00:33:30.880
as transactional, a one time game, but really the game is infinite because

539
00:33:30.920 --> 00:33:34.200
those same parties that you interact with. Your leading example is a perfect example.

540
00:33:34.279 --> 00:33:36.880
Like, yeah, maybe it's a
short term win for you in a

541
00:33:36.920 --> 00:33:38.480
certain way, but like in the
infinite game, in the long term game

542
00:33:38.519 --> 00:33:42.839
where you're playing, where you're interacting
with all of these people on both sides

543
00:33:42.920 --> 00:33:45.640
multiple times, you've got to think
of it in those contexts. And in

544
00:33:45.720 --> 00:33:49.279
that context, understanding people, being
respected by people, doing right by people

545
00:33:49.640 --> 00:33:52.960
pays dividends well into the future is
a very valuable asset, even if it's

546
00:33:52.960 --> 00:34:00.400
not always the most immediately expedient.
That's easier man not being worreless walking in

547
00:34:00.559 --> 00:34:01.839
well I want you know, I
wonder if that guy is going to be

548
00:34:01.880 --> 00:34:04.519
there. You know, we don't
like each other, you know, it's

549
00:34:04.559 --> 00:34:08.519
just and again I tend to view
things through a political lens because that's my

550
00:34:08.599 --> 00:34:15.480
life now, but being able to
work across the aisle, and you know,

551
00:34:15.559 --> 00:34:17.920
we're in a system, a two
party system where it's designed for opposition,

552
00:34:19.079 --> 00:34:21.679
right, You're not supposed to agree
because that's how you were sorted in

553
00:34:21.760 --> 00:34:27.480
the first place. So getting along
well, and you know, I'm proud

554
00:34:27.519 --> 00:34:30.639
of the fact that what I went
through as one of the last Trump nominees,

555
00:34:30.719 --> 00:34:32.679
even after the election was over,
Pausin Biben's coming in. One of

556
00:34:32.679 --> 00:34:37.039
the reasons I got some votes from
the Democratic centers was because of their staffers

557
00:34:37.079 --> 00:34:38.480
in particular, said no, Kyle, I were that guy. Listen.

558
00:34:38.519 --> 00:34:43.360
I know he's Republican, He's different, always honest, always answered the phone,

559
00:34:43.440 --> 00:34:45.360
could always talk to him. He
did what he said he was going

560
00:34:45.400 --> 00:34:47.840
to do, and I'm very proud
of them. And it's just flat out

561
00:34:47.880 --> 00:34:52.000
more a more effective way to be. But again, I'm aware that I

562
00:34:52.280 --> 00:34:55.599
tend to now think part is it
politics, that's the world I'm in,

563
00:34:55.760 --> 00:35:00.840
but it's all encompassing. My second
question for you is what's the best advice

564
00:35:00.920 --> 00:35:05.199
you have about the financial services industry? You know, for someone in the

565
00:35:05.199 --> 00:35:07.280
space, like what's one thing they
should think keep in mind about succeeding in

566
00:35:07.320 --> 00:35:12.679
the industry. B Let's say you're
a young person starting out right now,

567
00:35:13.519 --> 00:35:16.239
no free You know, if you
knew the first three pages of a book

568
00:35:16.280 --> 00:35:19.960
about AI and knew how to use
a couple of these tools from a man,

569
00:35:20.000 --> 00:35:23.360
there's so many. Now there's the
artwork ones. You're gonna look impressive

570
00:35:23.400 --> 00:35:29.719
because older people who've got success in
a different world hear all this stuff.

571
00:35:29.760 --> 00:35:32.079
You can't not hear about bitcoin.
You can't not hear about AI. Yeah,

572
00:35:32.239 --> 00:35:36.079
have you ever traveled with somebody you're
been in a restaurant where someone speaks

573
00:35:36.119 --> 00:35:37.920
a little bit of the language you
don't you know? And you know,

574
00:35:37.960 --> 00:35:39.920
I remember I first got in Japan. One guy I knew how to like

575
00:35:40.079 --> 00:35:43.679
order some food. And you know, to me, this is a magic

576
00:35:43.760 --> 00:35:46.280
trick. Whoa You know why?
Because you knew twenty wars more than I

577
00:35:46.360 --> 00:35:51.480
did. You know, if you're
that person who seems to know what's up

578
00:35:52.159 --> 00:35:55.639
when it comes to cryptocurrency or blockchain, you don't need to know a ton

579
00:35:57.400 --> 00:36:00.519
you're you're the person who knows how
to say ten phrases is in French,

580
00:36:00.000 --> 00:36:02.559
and when you're in France, with
your friend. It doesn't speak anything.

581
00:36:04.119 --> 00:36:07.519
You're the guy, you're the one
you know, you're the person. So

582
00:36:07.239 --> 00:36:10.079
and it doesn't take a whole lot
of knowledge to be known as someone who

583
00:36:10.159 --> 00:36:15.320
knows knows. I've already seen it
on the hill. People have now carved

584
00:36:15.360 --> 00:36:20.719
out careers for themselves by learning about
digital assets. Like there's a whole lot

585
00:36:20.760 --> 00:36:22.840
of people that know it like matters, and they hear about it and they

586
00:36:22.920 --> 00:36:28.079
know it. It shoudn't matter to
them. And there's a small number of

587
00:36:28.119 --> 00:36:30.360
people you know that if at least
sort of done the one on one understanding.

588
00:36:30.360 --> 00:36:32.360
So that's what I would say to
a young person for right now,

589
00:36:34.039 --> 00:36:37.159
play around with AI know some stuff, no, some terms, and that

590
00:36:37.239 --> 00:36:40.400
for that matter, digital assets.
The older people know it's important, but

591
00:36:40.440 --> 00:36:45.199
don't necessarily like really know how to
use it. They're not confident you can

592
00:36:45.280 --> 00:36:50.039
go far being somebody with a little
knowledge about something new. All right,

593
00:36:50.079 --> 00:36:52.719
that's great advice. And my last
question for you, what's one bold prediction

594
00:36:52.800 --> 00:36:57.639
for the future. I mean,
I can get a cheesy one change.

595
00:36:57.719 --> 00:37:00.400
I really want to say that by
New England Patriots go back to the super

596
00:37:00.480 --> 00:37:05.920
Bowl, but I don't, I
don't know. I don't know about that,

597
00:37:06.280 --> 00:37:09.039
but I think that, again,
I tend to think of things politically,

598
00:37:09.320 --> 00:37:14.199
some of our problems will be solved
in ways that are not dealt with

599
00:37:14.480 --> 00:37:19.519
in the current arguments about the problem. Okay, it sounds weird now,

600
00:37:19.599 --> 00:37:22.239
but two thousand and four, two
thousand and five that you know, the

601
00:37:22.400 --> 00:37:28.719
US government trying to block a merger
between Netflix and I'm sorry, Blockbuster Video

602
00:37:28.719 --> 00:37:30.199
on Hollywood Video because they were gonna
have too much market power and there was

603
00:37:30.199 --> 00:37:34.599
already concerns about how much they were
charging. There was also a massive class

604
00:37:34.639 --> 00:37:38.320
actual lawsuit in like twenty six attorneys
general were in it about how Blockbuster did

605
00:37:38.360 --> 00:37:42.559
their late fees, how they computed
them. There people off and everything,

606
00:37:43.360 --> 00:37:45.599
and you can have regulators get in
and how you do lead fees. And

607
00:37:45.639 --> 00:37:50.559
they had a settlement. You know
what solved that problem Netflix, That's what

608
00:37:50.679 --> 00:37:55.239
solved the problem. Right. So
the framing of well, but you need

609
00:37:55.320 --> 00:38:00.239
more competition in the video rental space
and we shouldn't allow this murder and arguing

610
00:38:00.280 --> 00:38:02.360
about they're gonna use market power and
pricing and the arguments about the late fees,

611
00:38:02.360 --> 00:38:06.079
and this is just one example of
the many. It wasn't solved in

612
00:38:06.199 --> 00:38:09.039
that paradigm, it was solved by
a whole new thing blowing it away,

613
00:38:10.199 --> 00:38:13.360
and it was irrelevant. Try to
speak to a ten year old today,

614
00:38:13.400 --> 00:38:15.440
explain it, you know, returning
a movie late? How do you return

615
00:38:15.519 --> 00:38:17.440
a movie? Athletes? Like,
how does that even make sense? How

616
00:38:17.480 --> 00:38:21.880
do you rewind it? You know, like the terms don't even make sense.

617
00:38:21.920 --> 00:38:25.639
So I think a lot of our
yeah, you know, they're going

618
00:38:25.679 --> 00:38:29.719
to be solved in ways that are
not necessarily part of the certain argument.

619
00:38:29.760 --> 00:38:30.880
And we might look back at ourselves
and say, man, that was a

620
00:38:30.920 --> 00:38:36.960
lot of energy expended when if we
had just let human ingenuity run free.

621
00:38:37.360 --> 00:38:39.599
Not that we'll solve problems, but
we're going to solve them in ways that

622
00:38:39.639 --> 00:38:44.760
are not necessarily debated right now,
you know. So that was that was

623
00:38:44.840 --> 00:38:47.280
a very unspecific broad one, but
that's what we broad But I love it

624
00:38:47.360 --> 00:38:52.000
the idea that the answer to a
lot of our problems isn't a totally different

625
00:38:52.000 --> 00:38:54.079
framing, and you don't you don't
always see it coming, you don't always

626
00:38:54.079 --> 00:38:57.280
see it coming. I think that's
a great way to end it. Kyle,

627
00:38:57.320 --> 00:38:59.519
thanks again for making the time today. This was a great conversation.

628
00:38:59.559 --> 00:39:02.480
I appreciate you're joining me. Hope
do back sometime again. I'm sure.

629
00:39:04.239 --> 00:39:08.079
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