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And welcome everybody to another
smart money circle show. 

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I'm Adam Sarhan. 
With me today is Sam Tabar, 

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who's CEO of bit digital ticker 
symbol BTBT. 

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Hi, Sam. 
Thank you so much for taking on 

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the show. 
Thank. 

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You for having me? 
So Sam, I always like to begin. 

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Can you tell us your story and 
how you got to where you are 

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today, please? 
Sure. 

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I ended my career as an attorney
at Skadden Arps in New York 

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City. 
I slept under a desk for a few 

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years working as a lawyer. 
And after a number of years, I I

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had a client that was a Japanese
hedge fund, and they asked me to

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work as in house counsel and 
they asked me to move to Tokyo 

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and I said yes. 
I've never been to Tokyo and I 

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just took the risk, moved to 
Tokyo and learn the language 

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there. 
I lived there for a number of 

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years, about six years, and then
Bank of America Merrill Lynch 

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asked me to run their capital 
strategy and I I moved to Hong 

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Kong and I was responsible for 
their capital strategy for for 

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all of the Asia Pacific region, 
including Australia. 

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Did that for a number of years 
and then I I I I moved to New 

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York, back to New York from Asia
and I Co founded a blockchain 

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company called Fluidity. 
We created something called Air 

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Swap which went viral and it was
a a decentralized exchange. 

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We were one of the precursors to
the whole decentralized exchange

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concept in blockchain. 
We sold that company to the Co 

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founder of Ethereum Joe Lubin 
and I then took on the 

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responsibility of being in the 
executive team of Bit Digital, a

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NASDAQ listed Bitcoin mining 
company. 

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I'm currently CEO. 
Excellent. 

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That's a fantastic story. 
So you started off in One 

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Direction, I love the law side 
of it. 

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And then you moved into finance 
and then you moved into the 

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blockchain. 
And then here you are the EO of 

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bTB. 
One of the reasons why 

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blockchain, what I found 
interesting was back in 2008, 

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which I lived through. 
I'm in my 50s now. 

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I I remember Satoshi's white 
paper coming out and it talked 

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about Bitcoin and that is a 
really cheesy name. 

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And I did read the the white 
paper and I I thought well 

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that's really interesting but 
that's just being used to sort 

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of a currency being used for for
for drugs and illicit things and

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that that was that was the 
initial currency of bit Bitcoin 

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at the time. 
Of course it has expanded 

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greatly. 
Just has the intranet. 

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When the Internet was was 
invented, believe it or not, 

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most of it was, you know, 
illicit stuff like pornography 

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and things like that. 
But the Internet became much 

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bigger than than that. 
But when the Internet was 

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invented, it was a lot of it 
appealed to the more base nature

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of humanity, and that has since 
been elevated. 

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Same thing with Bitcoin. 
Blockchain. 

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Yeah, it makes perfect sense. 
So, Sam, let us know. 

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Tell us about your business and 
some of the competitive 

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advantages you have, please. 
Sure. 

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So at Bit Digital, we're listed 
under NASDAQ, BTBT, we're a 

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publicly listed company and 
we're one of the large scale 

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Bitcoin miners out there. 
We're not unique in the sense 

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that there are other Bitcoin 
miners, but we are unique in 

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another way, very unique in 
another way that I'll get into 

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shortly. 
We have operations in North 

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America that being in the United
States, Canada and Iceland. 

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It's important to have 
operational diversification. 

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The reason for that is when we 
have about, we have 10s and 10s 

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of thousands of Bitcoin miners 
and if you have everything 

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located in one air in one 
operation, you're creating 

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operational risk. 
In other words, something can 

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blow up, a regulatory change can
happen against you and it's just

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not worth having all your eggs 
in one basket. 

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So what we've done is we've 
created operational 

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diversification by having our 
operations in our fleet 

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diversified across different 
countries, in different States 

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and different jurisdictions. 
And that way we maintain and 

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risk and manage our risk with 
respect to operations. 

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And we're not the only ones that
do that, but I think we're the 

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most diversified by far. 
So as mentioned, we are a 

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Bitcoin miner. 
However, we have an AI business 

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and that AI business is very 
material. 

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In fact, it may even dwarf our 
Bitcoin mining revenues. 

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And so we're really well 
positioned in the sector and the

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entire Bitcoin mining sector. 
As far as I know, nobody has a 

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material AI business like we do.
And we have certainty of 

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revenues over the next few years
about well over 35 million a 

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year, and that is very certain. 
And so we have this massive 

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money. 
So we have a certain AI business

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as well. 
The problem with Bitcoin mining 

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or or the blessing is that it's 
Bitcoin. 

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When Bitcoin goes up, Bitcoin 
mining stocks go up even more. 

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So as an example of that, 
bitcoins up about 200 percent, 

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250% year to date. 
Bitcoin mining stocks, including

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ourselves, are up more than 
400%. 

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So if you believe in Bitcoin, if
you buy a Bitcoin mining stock, 

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that goes up even more. 
There's more beta in Bitcoin. 

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If you believe, if you have a 
thesis of bitcoins going up, if 

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you look at things historically,
Bitcoin mining stocks go up even

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more. 
So that's the trick with respect

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to Bitcoin mining. 
That's why people invest in 

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Bitcoin mining. 
The issue with Bitcoin mining is

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that it's quite volatile. 
Even though you have a view 

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that'll go up, it could also go 
down. 

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And that's why we have this AI 
business that creates the 

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stability that no one else in 
the sector does. 

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So we become this AI business 
with a Bitcoin mining call 

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option, which is really the 
perfect situation. 

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So if Bitcoin goes down, we'll 
still do very, very well because

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we have this AI business and if 
Bitcoin goes up, that's 

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fantastic. 
We have this massive fleet and 

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World Bank Bank with respect to 
Bitcoin as it goes up. 

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I love that. 
So let's talk about the AI 

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component because that's a very,
very, like you said it could 

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dwarf the mining side of it. 
It's almost like Amazon Web 

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Services and Amazon retail. 
How the web services Jesse's now

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from the web services and that 
overcame, let's talk about the 

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AI. 
Do you do AI for mining or is AI

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used for other applications and 
if So, what? 

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Yeah, so basically we're we so 
there are people who do AI 

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applications. 
These folks who are doing AI 

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applications need very serious 
specialized computational power.

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We're not involved in Bitcoin, 
sorry. 

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In AI applications we don't do 
that. 

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We're not doing ChatGPT 5-6 or 
whatever, but we what we do have

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are specialized machines that 
actually provide the 

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computational power to create AI
applications. 

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So we we have access to these 
specialized NVIDIA machines that

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we've parked in Iceland. 
And people who are doing AI 

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applications, they need to rent 
certain computational power. 

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They need to rent the 
infrastructure to power their 

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applications and they come to us
and sign contracts in order to 

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rent that computational power. 
We have an incredible client, an

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incredible anchor client that's 
currently renting computational 

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power from us. 
They don't want to get them 

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involved in the hardware 
business. 

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That's our specialty. 
They want to just do the AI 

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application part. 
We don't want to do the AI 

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application part. 
That's not our specialty. 

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Our specialty is the hardware 
we've source statement. 

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We put that in a specialized 
data center and people come to 

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us to rent that computational 
power. 

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That's the AI business. 
Pretty simple. 

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Yeah, it makes perfect sense 
because a lot of that's in the 

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video chips you need for the 
mining and if you know use it 

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for mining, use it for the AI 
and you've got that 

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infrastructure built out. 
So we do although. 

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It's different to mention that 
Bitcoin mining equipment. 

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Bitcoin mining machines are 
different from AI machines. 

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AI machines are Lamborghinis and
require specialized data center,

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whereas Bitcoin mining machines 
are like high end days, they're 

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not like specialized 
Lamborghinis that require 

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high-powered ability. 
So you you could put that in a 

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in a lower tier data center, 
whereas with respect to AI 

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machines you got to put that in 
a specialized data center. 

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We have the ability and access 
to both. 

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I love that. 
OK, let's talk about risk. 

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How do you handle risk and what 
are some mistakes you've seen 

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people make with respect to risk
management over your career? 

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Sure. 
So in the in, in the very early 

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days, many years ago, bid 
digital had its entire fleet in 

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China. 
And we took the view that that 

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was probably a really bad idea 
with respect to risk, 

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jurisdictional risk because in 
China you can get the rug pulled

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from under you very quickly. 
And indeed it, you know there 

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was a a ban on Bitcoin mining 
and fortunately we migrated our 

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entire fleet where we were in 
the process of migrating our 

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entire fleet six months before 
the ban. 

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And and sure, thank you. 
And so that's really in our DNA 

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to manage jurisdictional and 
operational risk. 

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People think we're being 
paranoid, but we were not. 

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And so we think it's risky when 
Bitcoin miners have all their 

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eggs in one basket in like for 
example, say in one country or 

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heavily in one operation, that's
not a good idea. 

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And we don't think it's a 
theoretical risk. 

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We've actually lived through 
that risk by seeing what 

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happened in China. 
So that's 11 risk that we think 

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our peers are making that we are
not. 

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Yeah. 
Makes perfect sense. 

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And I guess from your loss side 
to your. 

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Background also also another 
very important risk that that 

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your investors should be really 
aware of when they're looking at

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the Bitcoin mining sector, 
because there is about a dozen 

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of us in the sector, we're all 
friendly competing. 

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But the problem with a lot of 
the competition is that they're 

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just there's not much 
differentiation between Bitcoin 

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miners except for size and 
there's not really an economy of

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scale that goes on here in 
Bitcoin mining. 

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So their strategy is hope. 
They hope Bitcoin goes up. 

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That's a really bad strategy. 
I'm not going to run a business 

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based on hope. 
It's true that they it might 

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work out. 
I actually believe that 

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Bitcoin's going to go up and if 
Bitcoin goes up, like as I said,

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Bitcoin mining stocks go up even
more, that's great and that'll 

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work out for them. 
That's their hope and their hope

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may work out. 
But wouldn't you rather invest 

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in a stock that has the 
stability of revenue in the on 

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the AI side, right. 
And if Bitcoin goes up, we have 

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that call option and and so you 
can capture the call option, but

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at least you have this base on 
the AI revenue and that's how 

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we're uniquely placed in the 
sector. 

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Yeah, that's really smart. 
And so the. 

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The strategy of of of of, of 
just hoping that Bitcoin goes 

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up, it to me is not the most 
wisest strategy, although it may

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work out. 
It's the risk component and it 

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goes back to your law 
background. 

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If I'm if I understand what 
you're saying correctly, where 

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just like you're protecting 
yourself from regulatory and 

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jurisdictional risk by 
diversifying in different 

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countries from an income stamp 
or revenue standpoint, you're 

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diversifying your risk as well. 
Whereas if one thing doesn't 

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work, the mining side of it, 
guess what, You've got the AI 

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hardware component, which is 
steady cash flow. 

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And it's almost like, yeah, it's
like what Levi's did back in the

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gold rush where he made his 
money selling the jeans and the 

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pickets and the shovels, not so 
much digging the hole trying to 

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find the gold, which I love. 
But you also have that component

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as well because you've got the 
mining constantly going. 

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So you've got you're hitting it 
from both sides. 

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You've nailed it. 
I love that. 

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OK, Sam, let's talk about some 
timeless lessons you've learned 

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along the way in business and 
marketing, in any law, anywhere 

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you want to go, I'd love to. 
I'd love to hear. 

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Just just in general. 
Yeah, Jen, anywhere you want 

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specific legal background, you 
can wear the business hat. 

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You can wear the hat anywhere, 
any hat you want to wear. 

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Just some timeless lessons I'd 
like to share with the audience.

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Yeah, I think, you know, I have 
dealt with a lot of characters 

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in my life, including myself. 
And I think the most important 

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thing when you're dealing with 
people in negotiation and things

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that go wrong is just to stay 
calm and just take a walk around

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the park or just hold off before
we acting. 

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I think that about the majority 
of the times that I've reacted 

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without taking some pause. 
I don't think we're always the 

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wisest. 
And so I've come to a point in 

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my life where I've learned a lot
of painful lessons to just hold 

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off and just wait for things to 
simmer down. 

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Sometimes not making a decision 
right away is OK. 

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And and and just thinking just 
trying to zoom out and and see 

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if you know what, what was 
what's going to matter next 

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year, not tomorrow, but what 
will really matter next year. 

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And if if what's being done 
against you won't matter next 

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year, then then it's better to 
just think about it. 

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And so the the general business 
advice I would give to 

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entrepreneurs running a business
or on the rise or even, you 

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know, even middle management or 
wherever you are in a company 

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structure is if somebody pisses 
you off. 

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Just just stay calm. 
People actually really value 

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steadiness and your ability to 
deal with crap without without 

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reacting. 
It's it's a it's a skill. 

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It's a learned skill, at least 
in my case. 

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And it's a muscle that you need 
to to to train, just like going 

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to a gym. 
You need to train that muscle to

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remain calm and so that that's 
one bit of advice I would give 

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to any entrepreneur or any 
employee that's working in this 

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game of capitalism. 
I do have some advice, yeah, is 

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you need to always be careful 
who your friends and who your 

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your partner, your romantic 
partner is. 

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That has a strong effect, 
probably the the biggest effect 

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in the world on you. 
There is this old adage that 

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you're basically the combination
of the five people you hang out 

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with, the top five people you 
hang out with is basically who 

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you are as a mixture. 
That is an adage I heard, and 

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that is completely true. 
So if you want to become a 

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better person or another person,
the easiest way to do that is 

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just to select people that you 
know that you would like or 

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admire. 
Because through this strange 

264
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chemical osmosis, what happens 
is that you blend into that 

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person as well and the person 
that you go home to everyday in 

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my you know, if you're a a a 
straight man, you go home to, to

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a girlfriend or if you're, you 
know, whatever orientation you 

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go home to. 
Anyway, my point, you get it. 

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My point is that romantic person
also has a huge that your 

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romantic partner also has a huge
impact on on how you feel about 

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things and sometimes people I I 
have noticed a lot of my peers 

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sometimes they could go home to 
less than ideal situations and 

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it has an effect on the 
workplace and their social life 

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and their just their general 
outlook on life. 

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So, so yeah, I would. 
I would. 

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I would be very careful on who 
you select as a romantic partner

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and ask your friends. 
I absolutely love that. 

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That's some great advice. 
So I wrote a book, Sam, years 

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ago, and it was #1 in Amazon for
two months. 

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It's called psychological 
analysis. 

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The whole point is to learn how 
to make rational, not emotional 

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decisions with, especially when 
you're investing. 

283
00:16:30,720 --> 00:16:33,360
So what you're saying here is 
just and select those people 

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around you that is so, so 
powerful. 

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What are some timeless mistakes 
you've made and or learned from 

286
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or you've seen other people make
that you'd like to share with 

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the audience? 
Well, I think that's forty. 

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I think I may have signaled that
I have thought sometimes in the 

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00:16:46,280 --> 00:16:52,360
past, particularly in my 30s, I 
have made a decisions and 

290
00:16:52,360 --> 00:16:57,800
reacted out of ego instead of 
out of zooming out and just 

291
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understanding what really 
matters in the long term. 

292
00:17:00,520 --> 00:17:03,600
So those are mistakes I made a 
lot especially in my 30s as I 

293
00:17:03,600 --> 00:17:10,040
was on the rise and I was 
drinking my own Kool-aid and I 

294
00:17:10,040 --> 00:17:12,880
start to believe my own hype. 
And so I've learned my, I've 

295
00:17:12,880 --> 00:17:19,160
learned my lesson on that and 
and yeah, and with respect to to

296
00:17:19,160 --> 00:17:22,480
business always, you know, 
always having a diversified 

297
00:17:22,480 --> 00:17:26,520
approach it is, is really is 
really smart. 

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00:17:27,240 --> 00:17:30,560
I love that. 
Now, what makes Let's talk about

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00:17:30,560 --> 00:17:32,880
leadership for a second, because
you're the CEO, you've LED 

300
00:17:32,880 --> 00:17:34,960
groups, you've led the Asian 
team with Bank of America, and 

301
00:17:34,960 --> 00:17:37,160
so on and so forth. 
What makes a great leader? 

302
00:17:37,480 --> 00:17:39,760
And what are some timeless 
lessons you've learned about 

303
00:17:39,760 --> 00:17:41,600
leadership that you'd like to 
share with the audience, please?

304
00:17:42,360 --> 00:17:48,120
I think what makes a great 
leader is somebody that doesn't 

305
00:17:48,120 --> 00:17:52,040
make it so obvious that he's the
leader. 

306
00:17:52,920 --> 00:17:58,400
It it if if you walk into a room
and people are nervous, then 

307
00:17:58,640 --> 00:18:02,160
they're you're not gonna unlock 
their intellectual value, 

308
00:18:03,320 --> 00:18:06,000
they're just gonna be yes men 
around you. 

309
00:18:06,840 --> 00:18:12,440
It's really important for people
to feel like they're equals in 

310
00:18:12,440 --> 00:18:14,680
many ways. 
And the the leadership thing 

311
00:18:14,680 --> 00:18:17,920
only comes into play when 
there's a difficult decision to 

312
00:18:17,920 --> 00:18:21,840
make. 
If sometimes decisions are not 

313
00:18:22,320 --> 00:18:27,640
super clear and and sometimes 
sorry, sometimes the answers are

314
00:18:27,640 --> 00:18:30,040
not super clear and that's when 
you sort of have to make a a 

315
00:18:31,160 --> 00:18:33,080
decision. 
And frankly not all my 

316
00:18:33,080 --> 00:18:36,200
decisions, I I you have to make 
them with conviction, right. 

317
00:18:36,600 --> 00:18:41,280
But you there's a bit of an 
acting component when you make 

318
00:18:41,280 --> 00:18:43,080
it with conviction. 
That's the leadership part. 

319
00:18:43,080 --> 00:18:45,520
It's sort of a performance to 
you. 

320
00:18:45,520 --> 00:18:49,000
You got to show conviction to 
the team that this is the right 

321
00:18:49,000 --> 00:18:52,640
decision so that everybody comes
on board with that decision. 

322
00:18:53,000 --> 00:18:57,960
But in your heart and your mind 
you, you're aware that that 

323
00:18:58,000 --> 00:18:59,560
decision may have been the wrong
one. 

324
00:18:59,560 --> 00:19:02,440
You just don't really know 100%,
but you have to act. 

325
00:19:02,840 --> 00:19:05,680
See if it's 100%, otherwise you 
can't get people on board. 

326
00:19:06,240 --> 00:19:07,440
Right. 
And then let's say the 

327
00:19:07,440 --> 00:19:10,000
decision's wrong and data shows 
up where it is wrong. 

328
00:19:10,000 --> 00:19:12,520
What do you do to pivot or to 
adjust and how do you handle 

329
00:19:12,520 --> 00:19:16,560
that? 
Well, stay calm, that's the most

330
00:19:16,560 --> 00:19:20,480
important thing. 
And just talk through it as just

331
00:19:20,480 --> 00:19:25,600
just be very transparent about 
about it and it's OK to admit 

332
00:19:25,600 --> 00:19:28,440
mistakes. 
I I I have never had a problem 

333
00:19:28,440 --> 00:19:34,680
admitting mistakes and I've 
never understood the the the 

334
00:19:34,680 --> 00:19:37,400
issue about admitting mistakes 
and and and and learning from 

335
00:19:37,400 --> 00:19:38,680
it. 
Because you're you're showing 

336
00:19:39,280 --> 00:19:42,200
the others that you're you're 
human and you have the ability 

337
00:19:42,200 --> 00:19:45,640
to learn and people like to hang
out with and work with people 

338
00:19:45,640 --> 00:19:48,440
who are still evolving. 
I don't. 

339
00:19:48,840 --> 00:19:51,360
Nobody wants to hang out with 
somebody who thinks they are no,

340
00:19:51,360 --> 00:19:54,160
not evolving anymore. 
That's like it's not it's not a 

341
00:19:54,160 --> 00:19:59,320
good mind to work with and and 
so that that it's important to 

342
00:19:59,320 --> 00:20:00,920
show others that you're still 
growing. 

343
00:20:02,440 --> 00:20:05,480
Otherwise, you're used to act 
like you're just people would 

344
00:20:05,480 --> 00:20:07,560
just think you're a Dick. 
Yeah, 100%. 

345
00:20:07,960 --> 00:20:11,120
So let's talk about obstacles 
and adversities. 

346
00:20:11,120 --> 00:20:13,840
Can you mention or share with us
some stories or any kind of 

347
00:20:13,840 --> 00:20:15,920
obstacle where you had to 
overcome it or hit some 

348
00:20:15,920 --> 00:20:17,720
adversity? 
And how do you handle that? 

349
00:20:17,720 --> 00:20:21,760
Because I know many people fall 
off the deep end by all means. 

350
00:20:22,400 --> 00:20:24,800
Yeah. 
So with respect to business I 

351
00:20:24,800 --> 00:20:28,160
assume. 
I think look I've used to I 

352
00:20:28,160 --> 00:20:32,400
started my career as an attorney
then it became a banker and now 

353
00:20:32,400 --> 00:20:39,200
I'm in technology and I know 
that a lot of people understand 

354
00:20:40,280 --> 00:20:43,640
especially millennials and Gen. 
ZS, they they don't have this 

355
00:20:43,640 --> 00:20:46,640
mindset of like sticking to one 
career for the rest of their 

356
00:20:46,640 --> 00:20:50,160
lives. 
And so I was I'm I'm glad that I

357
00:20:50,160 --> 00:20:52,920
was able to I'm still 
technically and like licensed as

358
00:20:52,920 --> 00:20:58,080
a lawyer but I was able to 
mentally make the shift from 

359
00:20:58,160 --> 00:21:01,800
going from law to banking to 
technology and I didn't see 

360
00:21:01,800 --> 00:21:05,120
myself as a one trick pony and 
all of these things. 

361
00:21:05,120 --> 00:21:12,120
So with respect to career 
advice, anybody who's watching 

362
00:21:12,120 --> 00:21:17,920
this show, if they're in a 
career that they're getting 

363
00:21:17,920 --> 00:21:19,960
bored of or they don't 
particularly think they're 

364
00:21:19,960 --> 00:21:23,880
flourishing or they're doing 
well but they want to change, I 

365
00:21:23,880 --> 00:21:26,200
would really encourage it. 
Don't think that you're just, 

366
00:21:26,200 --> 00:21:29,080
you know, once you're an 
accountant and that's it, you're

367
00:21:29,080 --> 00:21:31,680
an accountant or once you're 
this, that's it, that's your 

368
00:21:31,680 --> 00:21:33,880
thing. 
It's OK to experiment. 

369
00:21:33,880 --> 00:21:39,520
It's really good for the mind to
take on things that you don't 

370
00:21:39,520 --> 00:21:42,760
fully understand. 
That's how your brain develops 

371
00:21:42,760 --> 00:21:45,600
just as you go to the gym and 
you're working out your muscles.

372
00:21:45,600 --> 00:21:49,680
The mind is the same way, and so
jumping on different professions

373
00:21:49,680 --> 00:21:53,560
is like a great cognitive 
workout. 

374
00:21:55,160 --> 00:21:56,600
That's so powerful. 
I love that. 

375
00:21:57,040 --> 00:22:00,520
So final question for you, Sam, 
what is the best piece of advice

376
00:22:00,520 --> 00:22:02,880
you'd like to share with the 
audience with your 30 year old 

377
00:22:02,880 --> 00:22:05,920
self? 
I think I share that. 

378
00:22:05,920 --> 00:22:08,800
Just just just be careful with 
who you hang out with because it

379
00:22:08,800 --> 00:22:11,000
really has an impact. 
Don't don't believe in your 

380
00:22:11,000 --> 00:22:18,680
ability to be immune to the 
humans you hang out with. 

381
00:22:18,680 --> 00:22:21,400
You are much weaker than you 
think. 

382
00:22:21,760 --> 00:22:27,480
The mind is a very soft Jelly 
tissue and the only control you 

383
00:22:27,480 --> 00:22:30,360
have is the situations you put 
yourself into. 

384
00:22:30,960 --> 00:22:34,920
So if you're in a situation with
with a bunch of bad folks, you 

385
00:22:34,920 --> 00:22:38,320
will become, just through 
osmosis, one of them. 

386
00:22:38,720 --> 00:22:42,040
Even if your mind is very 
strong, that your mind is not 

387
00:22:42,040 --> 00:22:44,960
strong, your mind is just going 
to absorb the environment that's

388
00:22:44,960 --> 00:22:47,840
around you. 
So the only control you have is 

389
00:22:47,840 --> 00:22:49,680
the environment you put yourself
into. 

390
00:22:50,640 --> 00:22:51,680
I love that. 
And if you're in a good 

391
00:22:51,680 --> 00:22:52,880
environment, you're going to do 
better. 

392
00:22:52,880 --> 00:22:54,960
It's like playing, you know, 
tennis, for example, against 

393
00:22:54,960 --> 00:22:57,200
somebody who's five years old. 
You're not going to prove your 

394
00:22:57,200 --> 00:22:58,760
game. 
But if you play against a pro, 

395
00:22:58,920 --> 00:23:00,360
hey, guess what? 
You get a little bit better 

396
00:23:00,360 --> 00:23:01,800
every time. 
So that's. 

397
00:23:02,800 --> 00:23:05,080
Yeah, it's good. 
It's good in your 30s it's good 

398
00:23:05,160 --> 00:23:06,400
and 40s. 
It's good to. 

399
00:23:06,400 --> 00:23:09,440
And 20s try to hang out with 
people who are who are better 

400
00:23:09,440 --> 00:23:12,360
than you, smarter than you. 
But I have to say, there comes a

401
00:23:12,360 --> 00:23:17,760
point where that game gets a 
little old and it's OK to hang 

402
00:23:17,760 --> 00:23:20,520
out with people who are not. 
And that's you don't have to 

403
00:23:20,520 --> 00:23:22,320
hang out with people who are 
better than you all the time 

404
00:23:22,320 --> 00:23:23,520
there. 
There comes a point where you 

405
00:23:23,520 --> 00:23:29,080
just want to be at peace with 
the world and and but just hang 

406
00:23:29,080 --> 00:23:32,920
out with good people because for
obvious reasons. 

407
00:23:33,280 --> 00:23:34,560
Yeah. 
And you can also mentor the 

408
00:23:34,560 --> 00:23:38,120
other ones as you got stage and 
then it evolves become the next 

409
00:23:38,120 --> 00:23:41,640
person and so on and so forth. 
Well, Sam, this is fantastic. 

410
00:23:41,640 --> 00:23:44,120
Thank you so much. 
Bit Digital is your company, the

411
00:23:44,120 --> 00:23:47,760
ticker symbols BTBTI. 
Love what you guys are doing and

412
00:23:47,840 --> 00:23:49,120
hopefully we'll be on again 
soon. 

413
00:23:50,000 --> 00:23:52,440
Thanks for sorry. 
Thank you so much for having me.

414
00:23:52,800 --> 00:23:53,200
My pleasure.
