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And welcome everyone to another 
Smart Money Circle episode. 

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I'm Adam Sarhan. 
With me today is Carlos Marrera,

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who's the founder and CEO of 
Seal SQ Ticker symbol is LAES. 

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Carlos, thank you so much for 
taking the time and welcome to 

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the Smart Money Circle. 
Thank you, Adam. 

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Pleasure to meet you. 
Likewise. 

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So Carlos, I always like to 
begin. 

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

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you are today? 
Yeah. 

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So I am from Switzerland, Geneva
and I was the Chief Security 

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Officer of the UN. 
So my background is 

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cybersecurity on protecting very
critical infrastructures. 

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And in 1999 I, I went out of the
UN and create a start up which 

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should become a listed company 
and the NASDAQ. 

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And since then, I had been 
working a lot of different 

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technology segments like a 
space, cybersecurity and now 

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post quantum, which is the focus
of our discussion today. 

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Got it. 
And then let's talk about your 

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business. 
Please tell us what you do and 

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some of your competitive 
advantages. 

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So quantum technology is coming.
This is a three to five years 

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issue where quantum computer 
companies like Rigetti, like IU 

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and Q, they are developing very 
sophisticated computers that 

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will basically break RSA triple 
Des. 

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So with that they will break 
everything. 

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They will break 
cryptocurrencies, they will 

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break a smart card transactions,
they will break access control 

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into report. 
So everything is compromisable. 

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So we develop a solution which 
is based on semiconductors which

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is CLSQ, which is basically 
defense a quantum attack. 

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So once the quantum computer 
attacks anything, if they have 

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that chip which is the chip we 
are launching this week in Las 

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Vegas here, that chip will 
defend a quantum attack. 

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So the US government has issued 
new directive, we call that the 

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CNSA 2.0 that says the United 
States before the year 2027, all

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the public and federal agencies 
needs to be quantum resilient 

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means that they need this 
technology. 

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So this is technology's booming 
now. 

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That's one of the reasons the 
company went to $1 billion 

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markup a few weeks ago because 
there is a need to defend 

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critical infrastructure. 
Otherwise we will have serious 

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problem in the next 5 to 5 to 6 
years. 

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So I, I love that. 
And by the way, this is the 

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first I'm hearing of that. 
So it's kind of like 

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cybersecurity 10 years ago, 20 
years ago and that proliferate 

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into a massive multibillion 
dollar business. 

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And you're saying now there's a 
new potential threat, which is a

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quantum computing breaking 
through and you need security 

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there and you're able to step up
and do that. 

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Is that a good? 
One, yeah, the, the legacy, the 

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legacy security and I have been 
working on my career is the RSA,

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which was invented 50 years ago 
by MIT or triple that. 

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So the entire wall 
infrastructure is secure by 

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those algorithms. 
The new algorithm they had being

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published by NIS, NIST, which is
the US government, those are 

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quantum algorithms and they're 
going to replace those old 

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algorithms. 
So this is what you put on the 

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chips right there. 
There's a new generation of 

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crypto algorithms that basically
defend a quantum attack because 

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the quantum computer will not be
able to break that specific 

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algorithm. 
The old ones will be vulnerable.

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It will take few seconds for a 
quantum computer to break RSA in

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few years time. 
So quantum computers are also 

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expanding. 
We don't have yet that computer 

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computational capability. 
This is something will take 

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three to five years. 
There was a big debate at the 

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beginning of the year with 
NVIDIA CEO say, oh, this is 

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going to be 30 years and then 
the Microsoft say no, actually 

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this is going to be faster. 
And now the consensus is 

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internationally this is between 
3:00 and five years. 

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So we have to get ready now. 
And This is why the company is 

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growing so fast and and the the 
attention is so big on house 

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because you have to put those 
algorithm at the silicon level. 

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And this is very complicated to 
put that type of the fan on the 

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microchip on the chip. 
Then you will use to secure your

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car, to secure your house, to 
secure your alarm system and 

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your cameras. 
All that will be compromisable 

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if you don't have that type of 
chips. 

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Wow, I love that. 
OK, so let's talk about that for

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a little bit and then we'll go 
into the timeless advice stuff 

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because this is really 
interesting. 

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So you're saying that computing 
power, quantum computing power 

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has Inc is going to increase 
substantially. 

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Therefore, the defense 
mechanisms that we used before, 

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almost like bow and arrows, we 
had before. 

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So you can protect against bow 
and arrows, but once you have a 

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cannon shooting at you, you got 
to upgrade the defense system. 

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Is that what you're saying here?
We have to upgrade. 

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Exactly, exactly that analogy is
the cybersecurity analog 

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analogy, you know, from the 
Roman time with the Greek Romans

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develop a material that was able
to break into the Greek 

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protection. 
So yeah, we are in the same 

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cycle. 
But this one is actually special

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because due to the computational
capability of Quantum 1 quantum 

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computer is equal to several 
hundreds of thousands of 

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supercomputers. 
So 1 quantum computer has 

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unlimited capability. 
And the reason is that we are 

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moving away from the from the 
one and 0 constructions that we 

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have on concurrent, you know, 
analog technology. 

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Now in quantum computer, these 
one and zeros can be 

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extrapolated in many different 
places. 

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So it's not only like it is in 
the in the current technology 

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which is 1 and 0 in the same 
place. 

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Now we are coming into one and 0
in multiple places at the same 

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time. 
So that is what feeds the 

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computational power of a quantum
computer. 

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So, So yeah. 
So what happened is that it's 

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very similar to what happened in
a virus environment when Covic 

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arrived. 
People develop vaccines, right, 

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to protect against the risk. 
So we are in this kind of 

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analogy but in the digital world
and something very bad is coming

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and obviously that needs to be 
defended. 

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Doesn't mean that quantum 
computer is bad because quantum 

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computer will also accelerate 
many processes like you will 

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find the new drugs for cure 
cancer or you will be able to 

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solve many of the sustainability
issues like finding a new 

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solution for climate change from
quantum computer. 

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Computational will be actually 
an asset will be a tool. 

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But as we know technology is not
good or bad. 

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It's actually the people behind 
technology which is good or bad,

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right? 
So if that quantum computer gets

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in the hands of a rogue country 
or a terrorist group or somebody

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that will have other kind of 
intentions, that will create a 

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huge, huge violation possibility
on critical infrastructure. 

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So people will die. 
I mean, This is why, you know, 

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the car manufacturing industry 
is so concerned because imagine 

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that you can break a car 
navigation system and crash the 

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car, right? 
So, so that will now you can do 

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that with one car. 
When the quantum computer is 

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here, you will do with all the 
cars at the same time. 

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So it is obviously consumers are
not yet aware of this. 

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This is happening now at at very
high level government level. 

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But the good news in the United 
States is the government has 

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moved very fast by publishing 
those guidelines which are 

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basically used now by private 
sector companies to develop 

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solutions. 
Before was kind of evangelizing.

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You have to explain people why 
they need to invest in this 

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technology was not easy. 
Now it's much easier because you

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have a government framework 
already designed around this. 

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Yeah, I find it fascinating. 
Not just consumers, I'm sure 

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investors don't quite understand
it yet either. 

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So thank you for sharing your 
story here. 

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Let's talk about risk 
management, Carlos. 

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How do you handle risk and what 
are some mistakes you see people

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make with respect to risk 
management? 

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So the in, in, in companies like
like CLSQ you grow very fast, 

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right. 
You move from being a start up 

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to be a one, one or $2 billion 
company in this sector. 

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Quantum computers company do not
have a lot of revenue. 

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Actually we have much more 
revenue on the defense side that

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they quantum players and they 
are developing quantum computers

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have by just building a computer
we get the INQD wave. 

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They they are announcing very 
small amount of revenue and huge

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amount of losses investment. 
So you have to mitigate that 

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risk. 
You know, our, our view is that 

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while we want to get there, 
we're going to get from an angle

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where you can start to create 
revenue now versus creating 

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revenue in five years time. 
And that's why we put focus on 

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the security aspect. 
You know, quantum security is 

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now revenue coming today because
you're buying the chips versus a

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quantum computer. 
If you are an investor, you you 

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need basically to say, OK, maybe
this is going to work in five 

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years time and quantum computer 
company evaluations are massive,

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but we are talking about 10, 
fifteen, $20 billion markup for 

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companies like Rigetti and Q and
other or valuations are are 

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smaller. 
We are we are between you 

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mentioned 600. 
Actually this is in the last 

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week because the entire AI 
issues the divesting from the 

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start, but quantum is is is not 
AI. 

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Actually quantum is much more 
mature technology than AI in the

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sense that is a physical thing. 
Then you can see, then you can 

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touch, you can play with it with
AI in it's, it's, it's a lot of 

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bluff going around AI in our 
days. 

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So, so this industry for 
investors, if you are a short 

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term investor, you rather invest
in quantum security. 

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If you are a long term investor,
then you can offer obviously 

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invest in quantum computer and 
you can also invest in both. 

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You know, I think the consensus 
is then quantum security 

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companies and quantum computer 
companies will merge in the 

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future into one company. 
So that means a quantum, a 

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quantum computer needs security,
you know, and currently quantum 

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computer companies do not have 
security. 

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So that means that it is another
risk of a quantum computer 

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attacking another quantum 
computer because they that 

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quantum computer doesn't have 
security. 

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So that hybrid model is actually
consensus in the industry that 

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is getting together. 
And in the future, you will have

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both assets into one company, 
which is a great opportunity for

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us because we can go from 1 
billion to 25 billion, which is 

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what the quantum computers are 
having now. 

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Yeah, it's tremendous growth and
there's clearly a lot of value 

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that'll be generated for decades
to come. 

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To your point, there's also 
revenue growth, there's earnings

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growth, there's valuation 
growth. 

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So there's a tremendous amount 
of quantum growth, pardon the 

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pun, ahead here for you. 
Congrats on being there. 

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So let's talk about timeless 
lessons, Carlos, you've learned 

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along the way that you'd like to
share with the audience. 

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You've been doing this for 
decades now. 

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You're founder and CEO of a very
successful startup. 

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You've got your finger on the 
pulse. 

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What are some timeless lessons 
you've learned along the way 

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about life, business, 
relationships? 

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Anywhere you want to go, please.
So I think you need to be 

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focused on something. 
I think, you know, I live in 

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Geneva. 
When the World Wide Web was 

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invented, there was invented in 
Geneva and at that time that was

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kind of naive vision that 
everybody will connect and 

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everybody will be happy and 
sharing and friendly. 

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Obviously that last few years 
and then the Web 2.0 arrive with

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social media and companies 
taking your data and taking your

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identity and developing very 
addictive models which basically

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contradicted the original vision
of the web. 

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You know what was invented by 
Timus Lee. 

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So now we are in the Web 3.0, 
which is a correct of the abuses

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of the Web 2.0, which is again 
decentralizing the power of the 

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technology to the person, to the
human. 

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And and this is it goes against 
the business models. 

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So very big companies. 
So it's going to be a fight, 

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right? 
Because a lot of companies have 

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been making a lot of money by 
just data mining data and 

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collecting identities and making
captive the users to those 

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platforms. 
The web 3.0, which is also the 

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web that uses Quantum, it's a 
decentralized web. 

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So we are not only connecting 
billions of people, but we are 

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not connecting trillions of 
objects. 

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So this is the big opportunity, 
right? 

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Well, if you have a company and 
you develop a solution like 

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address to protecting people, 
you have a very small ecosystem 

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available to you. 
When you do that for objects, 

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then this ecosystem is very big.
Yesterday, the Amazon founder 

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just launched an AI which will 
be for the physical world. 

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And that's a very interesting 
concept. 

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The physical world is your 
house, is your car, is your 

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airport, is your city, is your 
hospital, is your facility. 

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So all that needs to be secure, 
and this was not secure before. 

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So in a journey of 
entrepreneurs, you need to be 

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very focused on a vision, on a 
problem that you want to solve. 

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But I always say that money 
follows ideas and no ideas 

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following money, right? 
So, so that means that if you 

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have a very clear vision of a 
problem that you want to solve, 

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like quantum security, you're 
going to get a very successful 

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company because so you will need
to be very focused on delivering

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milestone in that journey. 
At the beginning it will be very

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difficult eventually, but if 
you're with perseverance and 

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hard work, you're going to make 
it happen sooner or late. 

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We absolutely love it. 
Well, OK, let's talk about the 

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flip side of that. 
This timeless lessons. 

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How about timeless mistakes? 
What are some that either you've

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made, you've seen other people 
make? 

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How do you learn from them so 
you avoid them or don't repeat 

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them? 
So I think the concept of 

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mistake when you're working on 
tech, it's actually a different 

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concept than when you're working
in in normal life activities, 

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because a mistake is the 
component of a learning curve. 

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All technologies based on 
trials, you know, you try 

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something, sometimes it works, 
doesn't work, but that 

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information is actually 
aggregated. 

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This is the same way you are 
training AI, by the way, AI is 

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being trained the same way. 
It's always to optimize in 

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something, then doesn't work 
well. 

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So it can work better with the 
help of AI. 

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So the, the, the important thing
on, on failure is to break the 

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failure into blocks. 
You know, so you decompose what 

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a failure is and you're trying 
to get the good things of it and

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you incorporate that into your 
learning process. 

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And then you're trying to 
improve on the things that you 

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actually make a very big 
mistake. 

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And, and those things are, if 
they are identifiable in a 

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different way from the block, 
you can solve that much easier. 

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So the traditional failures of 
companies is like you start to 

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strong, you get excited because 
suddenly like I did this year, I

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raised $450 million. 
So you wanna use that money 

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immediately to make 
acquisitions. 

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You then have a problem of 
managing that growth mixing 

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culture when you buy a company. 
I just bought three companies 

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this year and one of the major 
issues we had is, is feeding the

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culture right So people can work
together and then they are not 

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being used to work together. 
So the human aspect of it is 

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always the more complex thing. 
Technology is much easier to 

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integrate the human 
interactions. 

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And this is the the thing 
entrepreneurs need to be very 

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careful when they go into a very
high exponential growth path not

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to make those mistakes. 
They're obviously situations 

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where you don't care if you 
don't make those mistakes 

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because the end game is so big. 
Like open AI, right, To develop 

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an EGI. 
They are making a huge amount of

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mistakes every day. 
They make a huge amount of 

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00:15:01,320 --> 00:15:03,200
mistakes, but the end goal is so
big. 

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The benefit of that is so high, 
so, so rich that that you don't 

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00:15:07,840 --> 00:15:11,640
mind and those mistake be made. 
So the same thing applies in 

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00:15:11,640 --> 00:15:13,320
quantum. 
I mean, the quantum computer is 

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00:15:13,320 --> 00:15:16,560
a new generational Internet 
generation. 

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00:15:16,560 --> 00:15:20,680
Basically, we are moving from 
things that we normally do with 

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00:15:20,680 --> 00:15:24,600
traditional security to an 
extrapolation of power and 

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00:15:24,600 --> 00:15:26,440
security. 
And that needs a different type 

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00:15:26,440 --> 00:15:30,000
of mindset. 
You're going to have super 

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intelligent devices that will be
fed by unlimited computational 

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00:15:35,320 --> 00:15:38,560
power that they are gonna make 
decisions for you, like AI 

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00:15:38,720 --> 00:15:43,800
agents. 
And those AI agents, now imagine

301
00:15:43,800 --> 00:15:46,280
they're really very performing 
now with a very low 

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00:15:46,280 --> 00:15:49,160
computational power. 
Imagine that when it gets 

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00:15:49,400 --> 00:15:53,640
extrapolated in unlimited 
computational capabilities, so 

304
00:15:54,080 --> 00:15:58,160
quantum computer will accelerate
AI to EGI and there we are 

305
00:15:58,160 --> 00:16:02,240
entering into a total different 
paradigm shift around where we 

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00:16:02,240 --> 00:16:05,600
are not any more in control for 
first time in the evolution of 

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00:16:05,600 --> 00:16:08,520
human you have something which 
is more intelligent than we are 

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00:16:08,800 --> 00:16:10,280
and and we are not used to have 
that. 

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00:16:10,760 --> 00:16:14,680
So, so that will that will 
require a huge risk assessment 

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00:16:14,680 --> 00:16:17,600
and and put the right the right 
recommendation or regulations to

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00:16:17,600 --> 00:16:19,680
avoid that this becomes 
uncontrollable. 

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00:16:20,320 --> 00:16:22,640
Yeah, I love what you just said.
There were mistakes or part of 

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00:16:22,640 --> 00:16:24,960
the learning curve. 
It's brilliant, absolutely 

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00:16:24,960 --> 00:16:26,720
brilliant. 
So thank you for that. 

315
00:16:27,080 --> 00:16:28,880
All right, next question for 
you, Carlos. 

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00:16:28,880 --> 00:16:31,360
Let's talk about leadership. 
What makes a great leader? 

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00:16:31,360 --> 00:16:33,320
What are some lessons you've 
learned about leadership? 

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00:16:33,320 --> 00:16:35,560
Anything else you want to share 
with about leadership please? 

319
00:16:36,640 --> 00:16:39,280
Yeah. 
So, so I mean, I would say the, 

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00:16:39,360 --> 00:16:42,080
the, the best leader is the, is 
the one that serves better, 

321
00:16:42,080 --> 00:16:45,320
right. 
So leadership means that you 

322
00:16:45,320 --> 00:16:48,360
need to be very accessible to 
the talent pool that you are 

323
00:16:48,360 --> 00:16:51,600
able to collect because they 
trust you as a leader because 

324
00:16:51,600 --> 00:16:54,680
they, you know, they, they, they
see your vision and they see 

325
00:16:54,680 --> 00:16:56,560
then you are executing on that 
vision. 

326
00:16:56,920 --> 00:17:01,840
But that should be return back 
to them by empowering them. 

327
00:17:01,840 --> 00:17:06,079
I always say that you know human
has an amazing unleashed 

328
00:17:06,079 --> 00:17:11,200
capability that can be unleashed
with the right leadership 

329
00:17:11,200 --> 00:17:13,640
process. 
So if you are like we are in our

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00:17:13,640 --> 00:17:17,319
companies, you know, we don't 
have those vertical structure. 

331
00:17:17,319 --> 00:17:20,560
We are very, I always say that 
regardless the number of 

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00:17:20,560 --> 00:17:24,079
employees that we have, let's 
maintain the startup spirit. 

333
00:17:24,359 --> 00:17:28,240
Let's let's not create 
verticalization or silos or 

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00:17:28,240 --> 00:17:33,160
power blocks, then avoid the 
data and the knowledge to 

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00:17:33,160 --> 00:17:36,560
circulate. 
So we always see like, like your

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00:17:36,560 --> 00:17:40,000
human body, you know, you have 
cells, you have organs, you have

337
00:17:40,440 --> 00:17:42,800
so many things and they are 
controlled by your brain, but 

338
00:17:42,800 --> 00:17:44,920
you don't even realize that you 
are doing that on daily. 

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00:17:45,080 --> 00:17:47,840
Basically, there's not a 
permissional process in, in the 

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00:17:47,840 --> 00:17:50,280
human nature, right? 
Or in the, in the nature itself.

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00:17:50,520 --> 00:17:53,080
So if you, we copy that and we 
apply that to companies, we 

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00:17:53,080 --> 00:17:56,280
create very successful, very 
large companies without falling 

343
00:17:56,280 --> 00:17:59,160
in the mistakes or those 
multinationals. 

344
00:17:59,160 --> 00:18:03,400
Then they become too heavy, too 
slow and too easy to, to, to 

345
00:18:03,560 --> 00:18:06,600
basically bring them into the 
legacy wall because they cannot 

346
00:18:06,600 --> 00:18:09,520
move fast enough. 
The companies on the future and 

347
00:18:09,520 --> 00:18:11,920
the leadership of the future 
will not necessarily be only 

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00:18:11,920 --> 00:18:14,440
judged by the money you make, 
but but by the good that you 

349
00:18:14,440 --> 00:18:17,560
create. 
The goodness is an asset that 

350
00:18:17,560 --> 00:18:21,640
has not been properly, this is 
an intangible asset, right. 

351
00:18:21,960 --> 00:18:24,040
But in the future that 
intangible asset is going to 

352
00:18:24,040 --> 00:18:27,560
become a tangible asset because 
we, we going to have, we are 

353
00:18:27,560 --> 00:18:29,800
going to be in a situation where
we're going to have more time, 

354
00:18:30,040 --> 00:18:34,200
more resources, more software 
behind host, more computational 

355
00:18:34,200 --> 00:18:37,880
capability to solve very serious
problems that we were not able 

356
00:18:37,880 --> 00:18:41,000
to solve until now. 
And that will create another 

357
00:18:41,000 --> 00:18:44,080
type of leadership structure. 
I mean leaders will then be 

358
00:18:44,080 --> 00:18:47,640
judged by the efficiency on 
solving those problems than just

359
00:18:47,640 --> 00:18:50,120
by making a lot of money and 
have a good quarter on the stock

360
00:18:50,120 --> 00:18:52,800
market, right. 
So that that's going to be the 

361
00:18:52,800 --> 00:18:55,080
the shift in the future. 
I love that. 

362
00:18:55,080 --> 00:18:58,200
So thank you very much for that 
overview about leadership. 

363
00:18:58,200 --> 00:19:00,360
Let's talk about adversity being
successful. 

364
00:19:00,360 --> 00:19:02,320
You have to learn how to 
overcome adversity and 

365
00:19:02,320 --> 00:19:04,320
obstacles. 
How do you handle adversity and 

366
00:19:04,320 --> 00:19:05,840
what are some obstacles you had 
to overcome? 

367
00:19:07,040 --> 00:19:11,000
So when when you create a 
company, you are alone at the 

368
00:19:11,000 --> 00:19:14,000
beginning, then you have to 
bring a person, another person, 

369
00:19:14,000 --> 00:19:18,200
a five person, a ten person, 100
persons and and basically you 

370
00:19:18,200 --> 00:19:20,960
are expanding the problem 
solving capability. 

371
00:19:20,960 --> 00:19:23,920
Then you will have first by 
solving your own problem. 

372
00:19:23,920 --> 00:19:26,560
I mean, when I when I say 
leaders, then they they try to 

373
00:19:26,560 --> 00:19:28,680
solve somebody else problem 
before solving their own 

374
00:19:28,680 --> 00:19:30,520
problem. 
It's actually very difficult, 

375
00:19:30,520 --> 00:19:32,360
right? 
Because that that will that will

376
00:19:32,360 --> 00:19:34,880
bring you down sooner or late. 
I mean, you're you, you have to 

377
00:19:34,880 --> 00:19:40,120
be a very kind of wise person if
we're going to call that word 

378
00:19:40,120 --> 00:19:44,400
like a person that is able to 
solve all the major challenges, 

379
00:19:44,400 --> 00:19:47,560
life, my, my, my present to you 
and convert them into into 

380
00:19:47,560 --> 00:19:50,120
solution. 
And then as you move forward, 

381
00:19:50,600 --> 00:19:54,000
you will be able with that 
example on that leadership, help

382
00:19:54,000 --> 00:19:56,080
others to integrate into that 
motion. 

383
00:19:56,080 --> 00:20:02,520
I mean, I think although we need
to look into things that can go 

384
00:20:02,520 --> 00:20:06,400
wrong, I think the forces should
be on things can go right 

385
00:20:06,840 --> 00:20:10,160
because by thinking of where can
go wrong, you are actually 

386
00:20:10,160 --> 00:20:14,280
focusing on the wrong issues. 
By focusing on things where it 

387
00:20:14,280 --> 00:20:18,120
can go right, it will create a 
situation where you will be more

388
00:20:18,120 --> 00:20:20,480
effective on solving things than
can go wrong. 

389
00:20:20,880 --> 00:20:22,480
But obviously the things can go 
wrong. 

390
00:20:22,480 --> 00:20:26,080
As I mentioned before, is 
scaling too fast is having a 

391
00:20:26,080 --> 00:20:29,520
situation where your ego takes 
over and you think you are the 

392
00:20:29,520 --> 00:20:32,960
master of the universe when 
you're the knowledge comes from 

393
00:20:33,000 --> 00:20:35,960
a combination of talent and you 
are able to bring into your 

394
00:20:35,960 --> 00:20:40,280
company to be following money 
all the time, funding, 

395
00:20:40,320 --> 00:20:43,120
fundraising all the time versus 
focusing on developing your 

396
00:20:43,120 --> 00:20:46,280
product. 
And and as I said before, money 

397
00:20:46,280 --> 00:20:48,840
follows idea. 
Money's aware of your idea 

398
00:20:48,840 --> 00:20:52,240
already and the money would 
knows that this idea could 

399
00:20:52,240 --> 00:20:54,920
eventually become very 
profitable for that money 

400
00:20:54,920 --> 00:20:57,440
source. 
So you don't have to necessarily

401
00:20:58,080 --> 00:21:00,560
focus too much on that. 
You have to focus on developing 

402
00:21:00,560 --> 00:21:04,400
products then solve concrete 
problems and not products that 

403
00:21:04,600 --> 00:21:07,400
that incentive A shareholders or
investor to invest in your 

404
00:21:07,400 --> 00:21:11,720
company, which is in many cases 
the the reason why people create

405
00:21:11,720 --> 00:21:15,680
company just to raise money. 
So, so if you go into that road 

406
00:21:15,680 --> 00:21:19,600
map, you will be very successful
and you will be able to transfer

407
00:21:19,600 --> 00:21:22,080
that model of their leadership 
inside your organization. 

408
00:21:22,920 --> 00:21:24,280
Absolutely love it. 
Well, thank you for that. 

409
00:21:24,280 --> 00:21:26,560
Final question for you today, 
Carlos, What is the best piece 

410
00:21:26,560 --> 00:21:29,280
of advice you'd like to give the
audience or your 30 year old 

411
00:21:29,280 --> 00:21:31,920
self? 
So never give up. 

412
00:21:32,400 --> 00:21:34,800
That's the, it's like an 
athlete, right? 

413
00:21:34,800 --> 00:21:38,080
I mean, an athlete before it 
gets into the Olympic game, it 

414
00:21:38,080 --> 00:21:41,200
has to do go into, into many, 
many steps. 

415
00:21:41,200 --> 00:21:43,840
Going into the NASA is like 
joining the Olympic Games of 

416
00:21:43,880 --> 00:21:46,560
finance, right? 
You're going to be there 

417
00:21:46,560 --> 00:21:49,080
together with many other 
champions that have done the 

418
00:21:49,080 --> 00:21:51,760
same. 
But before that, you, you have 

419
00:21:51,760 --> 00:21:54,760
to maintain that spirit the day.
Then you, you do the bell 

420
00:21:54,760 --> 00:21:57,080
ceremony, which I did it several
times already. 

421
00:21:57,400 --> 00:22:01,560
It's actually a day where all 
the collective forces and, and 

422
00:22:01,760 --> 00:22:05,160
goodwill of the company comes 
together into a celebration. 

423
00:22:05,320 --> 00:22:07,200
So I think that should be the 
inspiration, all of it. 

424
00:22:07,200 --> 00:22:10,720
Any leader is to keep, keep 
training. 

425
00:22:10,720 --> 00:22:13,000
You're not going to be 
immediately able to compete in 

426
00:22:13,000 --> 00:22:14,520
the Olympic Games. 
You're going to have to go 

427
00:22:14,520 --> 00:22:16,440
through a lot of fight before 
getting there. 

428
00:22:16,440 --> 00:22:20,400
A lot of training, a lot of hard
work, a lot of sacrifices, but 

429
00:22:20,400 --> 00:22:23,400
the good news is that one day 
you're going to be also able to 

430
00:22:23,440 --> 00:22:25,760
ring the bell. 
Absolutely love it. 

431
00:22:25,760 --> 00:22:27,600
Well, Carlos, thank you so much 
for taking the time. 

432
00:22:27,600 --> 00:22:30,240
Thank you for what you're doing.
A lot of good here helping us 

433
00:22:30,240 --> 00:22:33,600
protect about future risks with 
quantum computing security, and 

434
00:22:33,600 --> 00:22:34,760
hopefully we'll have you on 
again soon. 

435
00:22:34,760 --> 00:22:37,560
This is absolutely fantastic. 
Thank you very much, Adam for 

436
00:22:37,560 --> 00:22:39,560
your time as well. 
Look forward to continue 

437
00:22:39,560 --> 00:22:40,760
discussing with you in the 
future.

