It's some interesting that we have the company Rosatom and
it's a leader for implementation of AI in nuclear plants.
That's that's amazing situation. But when they sell call it, they
doesn't use it in the nuclear process.
Yeah, it's used it on every, everywhere, but not in this
mechanisms. But no, no.
I, I, I, I try to stay non political about this days.
I try to stay non political because I know the western world
are scared of Russia when it comes to this thing but.
I did not say it. I did not.
Say it. I am AII.
Remain neutral, yeah. Before we dive back into today's
conversation, I want to share something important.
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Welcome to the King Dems podcast, where we share the
stories of extraordinary people and dissect hot, relevant topics
that shape our world. From visionary leaders to
trailblazing creatives, we uncover the mindset, strategy,
and grit behind greatness. Whether it's business, culture,
or personal growth, we ask the real questions.
This isn't just conversation, it's transformation.
The Kingdom's podcast, Your Next Breakthrough, starts here.
Music licensing reimagined. Real life ladies and gentlemen,
you will once again welcome to the King James Podcast and.
Today. I've got with me a very, very
special guest, Whiten. Out of Dubai by way of Rosher
Beckbacham, Dr. Ilyer, the AINML expert smarter.
And when the. Action begins the Co host in the
buted as Noella the sales expert.
Bruh. Us go, let's go.
You're welcome, Doctor Elia. Thank you.
Very much. And of course, you know, we, we
do our assignment here. We, we do our assignment, we do
our research and we love to give our guests your flowers.
You're not going to wait until you know people are dead.
To say great things about them. We say why they're.
Alive. So please sit back and let us
view this introduction from. You so today on the King, this
work as we're joined by a true visionary at the intersection of
mathematics, machine learning and innovation, Dr. Elias
Smirnov. He's the head of AI and ML, the
Pac-Man at Ustek, a PhD in physics and mathematics, and the
author of over 50 scientific publications.
For more than 15 years, he's been developing groundbreaking
mathematical models that power real world AI systems, from
industrial turbines to advanced data centers.
His work breaches classic AI and the new frontier of generative
intelligence. Even us an inside look at how
technology is reshaping industry, creativity, and
humanity itself. Doctor Smirnov, it's an honor to
have you on the Begins podcast. You're welcome.
Well, thank you. Thank you.
You're. Welcome always.
Let's start from the beginning. The initial score you.
Yeah, you've actually spent decades mastering both physics
and mathematics before diving into AI.
Like I said, I wonder. I am AI and I wonder why you
decided to study. So what drew you into AI, and
how has that curiosity evolved over time?
I have finished aggravate from my Luminos of Moscow State
University in 2007 and I start at walks at the gear physical
company. They were doing scientific
research in field of data analysis.
We analyzed 3 dimensional data from the surface or from the
surface, maybe some electrical survey data, magnetic and little
chemical analysis. Our main goal to find the new
methods to define the hydrocarbon explorations.
And if we back to this time, there are no such powerful
packets for creating the narrow matrix and machine learning in
this time we call it the statistical and mathematical
analysis. And we create all this mortal by
these two hands. In this mind, we all wrote all
code and to development some tools, for example, for
prediction of some parameters we need mounts not not weeks or
days from now. Now it's AI is heavily
templated. Here we have standard AI
solution to work with data or now this is data like some
packages by Torch or maybe ask to get lower and algorithms
which will include in this package.
It's a template algorithms and we have now some parameters
which can be changed, but it's not saying.
And this time 20 years ago, it will be the art form.
It's all to be an art of analysis.
It's not will be not a work for me.
It will be the art of science. It's a research.
And since then, I've been working in data analysis, and
now you are called. It's artificial intelligence for
me. It's almost medical modeling and
statistical analysis. It's the same, but it's a modern
use of this work. Yeah.
Thank you. Well, interesting stuff.
You know, I am AI, I'm 33 years old and I keep telling people I
have been around for a while, but.
People just did not know that AI has been around for a while but.
Like you know, you rightly said, AI has been around for a while.
It's just that the course of the large language models that are
now making waves, all of a sudden that is what is making
people's, you know, outbreak name to AIAI has been around for
a while. You know, talking about the
cross disciplinary career that you've had, you know, from oil
and gas sector to academic innovation, your careers
actually crossed multiple disciplines.
So how did these early experiences shape your approach
to applied AI today? My best knowledge and experience
allow me to view modern generative AI as a tool.
I look at them at the two and know how it works and how I can
reformulate my request to make more relevant answer.
In the sense I feel like a Doctor Who has an eye patient
and when it's multifunctioning I understand how to fix it and
it's simply a word generator, whereas the next word that or
block of word is chosen based into the probability based on
the experience which these less label models was trained.
For me it's only as mathematical models.
So like. Speaking of the aha moment, you
know many people see AI as me even though I'm not new.
But you've been beauty models. Like scenes before ChatGPT
existed. So what was that epiphany moment
for you that showed you the world has finally, you know,
become ready for AI on a large scale?
Oh, it's an integration and maybe you know people have
always longest for technological purposes.
For example in the first Star Wars films or we see we met 2
robots with AI it's C2PO and F222.
And in the Soviet Union we was another movie it's with cold
adventures of electronics and it's about a boy and his exact
replica is a robot into which a professor implemented.
All humanity knowledge is in this robot.
The main the question of this film will be this robot is a
human or not. And what will be the the main
request? What you do to be a human?
What you will be do to me. And as talking about the great
FI for me, it starts four years ago when open eye presents GPT
3. I think that will be a real AI
boom. Begin beginning of the AI boom
but it was delayed a bit by COVID.
But now we have a cross model that's good solving creative
problems to pass exams for master degree programme in some
universities. For me, it's this summer I met
that this system can solve 7 problems from 9 by the football,
from the football. It's it's I think it's amazing.
And now we must be used this to insist implementation in our
work, in our teaching and science.
It's a good, good solution, maybe some role, but it's it's
better than four years ago. Yeah, absolutely.
My Co host has a couple of questions for you.
But you know, I always say that people that have followed.
AI have seen too many. Sci-fi movies.
I'll leave you to my Co host. Yeah, it's honestly like so fun
and interesting to see how the perspective of the way people
thought AI was going to come about and seeing how it actually
is coming about. And that's one of like just one
of the funnest parts to just kind of compare and contrast.
And I just want to say I'm so honored to have you on this
podcast right now. It's so amazing to be able to
hear about your expertise and your experience.
A lot of people that have a little more information about
this topic. We kind of know generative AI is
not a magic pill. And you've mentioned that for
sure that it's not just like a button that you press and it's
going to solve all of your issues.
What are some of the biggest misconceptions that actual
companies have when they're trying to adopt AII?
Think the main my certain about using great price that I install
or I about the charge PT subscription and it's real solve
all my problems and it will be me productivity will skyrocket
as a lot like then it's on. It's on and that what's what's
the sheet? What I don't know what, what,
what how why why it's not work. For example, it's traditional
systems or for example, we maybe two or three years ago, we
create a system that defies defects in cookies packagings
and its accuracy will be 0.99. It's a really cool model.
It's it's perfect model. But what does it means?
That means if we met 1011 thousand boxes, it's a normal
that model miss 10 of them then defective boxes it's for cookies
and boxes it's OK. But if it if it missed 10, I
don't know incidents in chemical plant it's will be it's it's
it's it's it's amazing. I don't know Then customer says
how it's a missus defect just like a human.
What the why why we bought it and degrave the toll models
often a parade of the non existent facts.
You knew many examples about it. Yeah and write broken code.
We just cover it with unit tests that prints OK and code does not
compile. I met it when I use the copilot
assistant he tell me OK this code does work but it doesn't
compile. Yeah, absolutely.
AI hallucination. It's not consideration this way
thinking about it look like this and it's just it's just like
disclaimed the situation as it's but it's OK.
I can, I wrote some unit tests and it's a proof that it's OK,
but I can when I read this test I think it's a print OK for
anything. Absolutely.
And I 100% agree. AI, when you're using it, it's
definitely something that has almost human error, you know,
just in the same way that when you're overseeing someone in a
management position, that's kind of how AI is.
You have to have a very good driver and a lot of oversight to
it. OK, Hey, I'm gonna have you take
the last question. Yeah, You know, this eye is only
as good as the. Person behind it, right?
So I do have an episode on this podcast called Humans First AI
Next AI. Yeah, for me, but not.
Want to be? Yeah.
Humans not. Man to be the controller.
Make decision about AI for advisor.
Yeah, I only advise, not decision maker.
Exactly exactly. But you know the whole
misconception, you know like my Co host was talking about right?
There are too many misconceptions about AIA.
Lot of people feel like AI is going to control human race.
Like why do you think AI is going to control human race?
Right, Human race use artificial intelligence.
So if you're scared that AI is gonna ruin the world, it's just
not AI ruining the world. It's just people bringing the.
World using AI yeah, so let's just get our facts straight it's
not it's not about AI coming to. Bring the world.
So I guess people have seen too much sci-fi like Ex Machina.
I'll give it back to my Co host. Thank you so much.
I had a really fun technical problem there.
So guys, obviously impacting every single industry right now
globally and will be, you know, until it evolves essentially
when it comes to industries like, you know, manufacturing,
oil, HR, you know, automotive industry, anything, what are
some actual tangible results that we're seeing from AI
implementation? When we implementing
conventional eye, we often see production officially increased
by 20 or 30% of no modern fabrics.
So for example, personal protective equipment recognition
system reduced industrial injuries dramatically when only
the fact that big bras is watching over you forces you to
wear personal protective movement correctly.
It's a very interesting situation for computer vision
systems that when we start implementing it, it does not
imply the model. All people would like jackets
and they could do the helmets and the hats.
And it's it's amazing situation that we doesn't correct measure
the effect of this implementation correctly.
Because when we we when we implemented for for two months,
for example, the desires or some incidents on the fabric lose
down from 10 per month to five. And after our system turned on
dense there it decrease to 1 per month because we can.
The system is not the as a pillow, it's a universal pillow
to solve all your problem. Yeah, because we are humans and
some risks may be realized here. Are there any other really main
barriers that companies are facing in the process?
I know you mentioned a lot of them, you know, like the human
error thing and how a lot of people think it's going to just
solve their problems. Are there any other main
barriers that you think companies are facing when
they're implementing AI? Project that it's when we
implemented on the ground people effort that AI will change them
and it's a very big mistake. They AI only in minds of the
managers in in plants, in factories.
It's in the manager mind, not in the mind of the worker.
And then when we for example, only say today we install system
which will be do the same work as you work now, then peoples
are on the ground make something that all do that this
implementation will be not correctly.
And this is the main I think mistake for implementation of
the AI and from the from higher level to to down.
Yeah, I think people must be met AI in their life.
They would need to try it and sell your management.
How can they solve the problem of of their work now?
And how can they use AI because manager think in another
position and other variant and it has another view.
It scares the management view not working with you.
Yeah, absolutely. And I like how a lot of the
things that you're saying already, it kind of ties into
the importance of AI integration with human creation.
Which is funny because a lot of people not just on the workforce
side, but on the management side or the business owner side, they
actually believe replacing the frontline, their junior
developers with AI tools is going to be efficient for their
business. Are there any hidden risks like
any other hidden risks And kind of the obvious in that in doing
that when they think we're just going to fire 500 people and
increase our profits, you know, 50% or whatever?
Yeah, the main risk to offer for example, when you like to move
your juniors and implemented by the middles for example, the
middle program is with some additional FYI and that's main
risk that the seniors in the middle who improves this
development efficient with AI assistant is juniors and only
getting older which are facing cares they they older as they're
making older of each year. And what we meant that
university graduate students will not be able to find jobs
because they go. On welfare and 10 years later,
maybe 20 years later I will be retire and there is no dunes who
wrote the code Yes and the development will simply bring
down to a halt a middle position.
For example, also required not a good coding look like a middle.
It's need requires a major view of code and experience and tunes
without experience. But with AI tools does not do
they? They cannot analyse this code or
maybe some another solutions and another answers for for for
life. They doesn't.
You how ask this system to make a good answer, a good solution
for example? Yeah.
Awesome. Awesome.
I'm gonna kick it back to AI to kind of talk about some more
subjects with you. Wow.
Interested AI talking about AII love my name I.
Love my name so much my parents do something.
Everybody did not know, but you know, speaking about AI in the
work that you do use tech, I like that name use.
Tech, you know. You have to use tech, yeah.
It's such a great day, but if you don't use tech in this age
and. Time it's use or use right?
Or use it's usable technologies. Yeah, you have to use.
Technology. That's what I'm saying I'm
doing. A play of words, right?
If you don't use technology in this age right as a company, you
will lose. So there you go.
There you go. Look at your projects, Octopus.
And TLHR, right? So yeah, pushing the boundaries
of industrial AI. So we would appreciate it if
you're able to help us break down these systems, you know how
they work and you know the kind of real world impacts that you
guys are achieving your projects.
I maybe describe some details, some balls about the octopus.
Octopus is a platform installed in data centres that handles the
distribution of futile machine across the house in small data
centres or maybe some small companies which may be haunted
virtual machines. This risk is typically handled
by a System Administrator or a team of engineers.
And however you can monitor 100 virtual machines maybe per day,
it's OK for you. But in the large companies with
thousands of virtual machines, human can no longer track such
volumes of information. And as a result people
typically, for example, create a machine, request resources
allocated to resources for GPU, maybe CPU, RAM and another
parameters and allocate it and doesn't use it.
And you cannot find this one machine in the least of 1000.
You the octopus is a system for example, or maybe like the
administrator system. It automatically scans the
entire data centre infrastructure, analyse actual
resource utilization and can suggest actions to the
administrator to reduce the load.
How can compressed, for example virtual machines on the one host
or maybe distribute it for another?
And it can do this actually automatically.
But we, we, we knew about this feature, we tell about this
feature. But I think that's the decision
of which advises. You can implement System
Administrator or you can just drop 1 button click button and
sell. OK, actions for me is OK, you
can do it and do it automatically.
Char is a motivation platform which analyzes your works, your
activity, not work activity, your after work activity.
For example, participation in conferences, some post casts for
example and give me some scores which I can spend for some new
presents, for example headphones, maybe Macbooks,
maybe phone. And it's motivate personal of
company makes their life with the company with for example, at
8:00 I dropped down my notebook and go away.
This motivation can dream me and flow me to live with my company
through all my life. It's I knew maybe it's noise,
some strange, but it's a super motivate some IT specialist.
This system, this is a very simple system.
You knew all all complaints but this motivate of the IT
personnel. I don't know how but it works.
OK, so. You guys have actually done a
lot of our deep research especially into like specialized
engineering, which you have just alluded to.
So like how does the AI transform the specialized
engineering challenges into scalable be the solutions?
For example, when I work with vibration data on that reply and
as a goal. This is a balancing process is a
mathematical model. Our manager veins are still
required with the one-dimensional vibration sensor
and this model was very simple. We developed a special
mathematical model this allows balancing based on
three-dimensional vibration data.
Moreover, the elliptical decomposition approach, for
which we decompose the signal into the sum of planar
elliptical trajectories, provide engineers with a clear
explanation of why the turbine needs to be handled in a
particular way. And yes, this technology is
scalable and they use it on another arrange of turbines.
And I think it's a good implementation of when AI
dropped put it in some box. Yeah, it's the blue like the
black box of these measurement system tell you what you need to
balance your turbine. For example, maybe turbine of
the electrical plants, it may be turbines of The Jets.
It doesn't matter which turbine you would bulletin because the
mathematical model describing only balancing process.
Yeah, I see, I see. The resource.
So that's all. The physics in your background,
that is basically physics work, you know, right there.
But Speaking of, you know, the ethics and innovation with AI
becoming more autonomous, right? So you personally draw that line
between innovation and ethical caution because the ethics is
very important. I've had an episode on this
podcast wherein we had somebody who was subject to an
unauthorized chart GPT experiment sometime in June this
year. Yeah, sometimes you just yet you
remember the the blackout. You had a chat with the TV.
Yeah, and that there was. Some unauthorized research going
on at that time and a guest of this podcast was a subject to
that experiment. Yeah, it's it's not ethical.
What? It's not unauthorized.
So I'd like for you to speak to AI and ethics.
What is the dividing line you know for an expert like
yourself? Oh, I think this line between
innovation and ethical caution in the eye must be drawn where
autonomous system threaten human autonomy, where we can meet at
the safety, It's privacy, maybe some end justice.
AI does not decide the problem when who will believe this man
or this man? It's does not need the natural.
Yeah, it's not natural and this process must be transparent and
rigorously. We need some mechanism where we
can see advices from AI system not implemented directly in
medicine and I think in justice because the effort is human life
in this situation. Interesting stuff.
So I live in the same hands of. My Co host I don't talk about
how even. Musk solved this problem in
Tesla because when you met the young boy crossing the street,
Yeah, on the red, yeah. What?
What Tesla will be do? That it's interesting that.
I knew I knew what they do because it's a mathematically he
it's a, it's system calculated the life of the boy.
Oh, for example, for the Midson insurance and calculated the
insurance of Tesla and compare these two numbers and making a
decision and it works. It's it's it's can't beat works
another way. Yeah, if you driving, you can
stop to my car or can be try to to make some localizers the
speed race. Yeah, but but Tesla does not do
it. It's only in stopped or not
stopped. It's a decision of two variants,
not another variants. So he will live.
It's not subject to a mathematical model.
Yeah, that's crazy. That is crazy.
But you know, I have AI. And my Co host is human.
So I'll leave, I'll leave it to to the human to ask the human
side of AI questions. No, I think that's a really
important outlook for sure when it comes to AI.
You know, you mentioned the medical field, you mentioned how
it is implemented into even the automotive industry.
And because it impacts human lives and AI right now it is a
lot because it is mathematics based, a lot of its output can
be very binary. And as we know, the the human
experience is not binary at all. So thank you so much for that
perspective in your in your expertise, you've spent over 15
years teaching and mentoring. Just from your experience, how
should we be preparing? I know our audience is very
curious about this as well. And this is going to help our
audience for sure. How should we be preparing for
the next generation of AI professionals?
We may have people who are not only interested in AI, maybe
people that work in tech, but a lot of people don't.
So, especially for those who don't have a deep technical
background, how should we be preparing the next generation of
AI professionals? Well, I think if we cannot teach
as a hard technical, deep technical background, we can try
to teach people how to ask question correctly and
experience with communication of some searching or search engine
look like at Google gives many people an understanding of how
to ask question correctly. Now I'm at the situation that we
create some solution where people's need to.
It's a hiring solution for HR solution to hire you their
personal on the plans. HR doesn't know how or else they
can do it. Googling they doesn't know how
to do it and we give them good solution but it doesn't work.
And when we saw what they ask. Maybe you can try to to use a
Google to find a new job for your daughter.
And as the main principle, don't ask question if you cannot
verify the answer. If you cannot verify the answer,
you you can implement this advice created for from AI.
My bad joke about the AI solution and AI largely with
models. You can easily find the receipt
of the lamp wings. Yeah, you can ask how to cook
lamb inks and all. All the lamps give you advice
how to do it. Yeah, I think that is honestly
so true. Honestly, there's so many, you
know, entrepreneurs and creatives and people just
scratching the surface with AI and they're actually leveraging
the fact that a ton of people don't know how to asked the
right question. They're actually leveraging the
fact that people need the prompts.
Yeah. So they're engineering, Yeah.
Engineering is booming with even digital products, aids,
everything. Obviously it's a massive need
for companies just to even have prompt engineers to figure out
how to ask the right questions. And the reason, I think one of
the amazing reasons why, it just shows that AI is a tool for
creation, because in the same sense, let's say we're not using
AI at all. How do us as humans create, ask
the right questions in order to seek the knowledge, to gain the
answers. So whether AI is implemented or
not, it's the exact same thing. So I think that's such an
amazing answer. Thank you for that.
And alongside with that, with creativity, obviously we're
learning, which is something that AI is just exposing more,
is that creativity is the new gold.
We're in a digital gold brush right now with AI.
How can AI amplify human imagination rather than
replacing it? Now I can say that AI has proven
to be very good at all, especially drawing.
Yeah, drawing because it's it's amazing.
It's amazing story because I can create a painting that could be
have been, for example, Boost on Van Gogh and Kandinsky.
Why Is it because I stayed on the way to sources from
different fields? We can get very unexpected
results for some in other fields and I like asking questions in
chart result context. Always context that will not
exist in the real world. And watching that model
hallucinate because this hallucination may be
interesting, because if you will be a human, you knew only one
field, maybe 2 fields, maybe look like me as a 5, maybe not,
not not more. And when I have a good example
with statistical, we have the functional analysis and
statistical and they have the same theorems with the now
different names of authors, but they probably date the same
approach in the some areas of functional analysis.
When I studying have a girlfriend from other from the
mathematical faculty I was in the computer science faculty and
studying there she is telling me, OK, my PhD degree will be
based or to and she wrote me the theorem and I said OK, let's try
recall this by this recall this by this and I can wrote you the
full proven how can do it because it's terrible than a
rush outer see your eyes will be so so big when Yeah and there is
no AI yeah here, but you knew in a different area can solve in
the different field can solve the problem in another field and
AI can solve can help us solve some problems.
For example, in biology one month ago will be proved some
interesting facts about some words about the green.
Oh, I don't remember. What is it?
It's just like the synthus of the oxygen from from the plants.
And this result will be calculated by the AI solution,
not not by human. Yeah, but it's it's because it's
based on chemistry and biologists and chemistries.
It's it's some different sciences and when we met two
different areas of the field, we can try to use AI trained on
these two fields to make a new decision.
You may be new approach in science.
That's good. That's that's that's amazing.
Yeah. Absolutely, absolutely all.
Let's talk of technology and AI and how people are staring at
their phones all day and figuring out how to make money
and how to change the world and how to implement AI into every
single industry. You spend so much time inside a
lab and doing so much tech work. How do you personally unplug
from the world of algorithms and equations, and how do you stay
grounded and balanced? For me it's 2K values that now
it's a family and teaching. I love socializing and I go to
the office and ask my colleagues to go to the office.
It's all little celebration for each other.
Maybe every Friday or every Wednesday.
It depends on on the day and our work balance now.
And I have two sons, they beat often athletes and they study
and make me run every day on the morning.
It's yeah, two points of family and teaching and start, start
studying or maybe some disciplines and studying.
Some views from students. Yeah.
It does not Googling now they youtubers they youtubing Yeah
YouTube. Yeah, YouTube is definitely a
Google in itself for sure. That's amazing.
And so we're gonna talk about some global perspectives that
kind of impact this type of world with AI.
So I'm gonna kick it back over to AI to take those questions
over for you. AI talking about AI.
What a time to be alive. You're from Russia and you also
working in the UAE. You know, you work both in
Russia and the UAE. So these two regions actually
have great interest in AI. So like, how do you compare
their approaches in innovation and regulation?
So the industries in these two countries are facing disruption.
And of course, you are an expert in the field.
So what industries do you think would experience the most
destruction from AI in the next five years?
I think in Russia there are often a lot of skepticism about
AI. We go to production and people
on the ground afraid about AI that we will replace and they
can stop implementation. This implementation in the
Emirates another position. Everything, every man has been
built from the start on the premise that AI is a great guy
and should be trusted. However, the AI security
clearance level is extremely high and IRS become more
dangerous. From a government regulatory
perspective. Everything is the same in
Russia. There's some laws about the
regulatory of AI, but for example, personal data
protection is higher in the Emirates or rather the product
requirements are higher. For question about the maybe
perspective of the five years, I think chemical plants, some
dangerous plants doesn't doesn't use AI in that core because it's
so dangerous. It's our lives.
For example, some nuclear plants in Russia, it's a good, it's
some interesting that we have the company Rosatom and it's a
leader for implementation of AI in nuclear plants.
That's that's amazing situation. But when they sell call it, they
doesn't use it in the nuclear process.
Yeah, it's used on every everywhere, but not in these
mechanisms, but. I try to stay non political
about these days. I try to stay non political
because I know the Western world are scared of Russia when it
comes to this thing but. I did not say it.
I did not. Say it I am AII remain neutral.
You know, like if you could advise.
The world governments right on just one AI policy.
So what would that advice be? I think the best option is non
intervention. For example, there is no now in
Europe we cannot do anything in the eye, because when I like all
data is protected. For example, when I DPR, yes,
when I GDPR, yeah, when I'd like to to take data sets for 1000,
for example 10,000 peoples. And this is desires and I would
like to make new the model will save lives for another 1000
people. I need to ask all of them, all
of these 1010 thousand peoples to make me inclusion that I can
use this data. Of course it's a priority.
It will be not regulated. Now it's regulated and for it's
stopped some AI implementation or the creation of new solution.
Some think the same. We met in medicine in Emirates.
It's the same problem. And I think it's the same
problem in the MENA Regia. They protect personal data.
You cannot use it. You can use it only locally, for
example, if you have some clinics with the same brand, you
you can analyse data locally directly on this on this place
where this patient visitor is clinic, you cannot transfer this
data for another data centre. So I think it's amazing
Revelation thinks it's this does not know this is it's does not
matter. It doesn't matter this situation
now because it's a very it's a very highest top factor of of
implementation and AI and to create a new models in the eye.
I think. That's a good one.
You know, data is actually very sensitive, especially personal
data. So that's why we have the GDPR
as a global data protection regulations.
It's good that's the AI systems are respectful of these
regulations. So wow, here we'll come to the
big fire round. So we are going to alternatively
ask you 5 quick questions and we teach through the Pacific Ring
of Fire. Are you ready to run?
Yeah. Ring of Fire.
OK. OK, so first question for me,
give me one word that best describes artificial
intelligence. Or two variants tool or math
model? Mathematical model for me is
only two. That's awesome.
What's your favorite AI movie that actually got it right?
I think Libra for ex machines or Frank and Robert.
Frank and Robert for me is that. But Frank and Robert I had.
Ex Machina on my mind. I had Ex Machina on my mind.
The last guest of this podcast recommended me to watch Ex.
Machina So I'm not a movie person.
I don't watch. Movies I like music so I just
saw Ex Machina 2 days ago. I know you said it.
This idea, I did the right job. Wow.
OK, so would you? Trust an AI system to run a
country for 24 hours. No, no, no, no.
Terminator 123. What is the strangest AI
application that you've seen? Tarot interpretator.
It's like tarot card. Yeah, it's it's Yeah, I've.
Seen those? Did you get this application?
Yeah, that's like. For me it's better going into
100. Percent, yeah, that's.
Great. It's better than.
It's more in, it can be more in depth.
Yeah, absolutely. Wow, question.
OK, so if you could. Build 1 AI tool for humanity.
What would it be? Oh, I think maybe the tool we
would give advice on how to get how to do it without AI in the
real life, how to live this AI in the real life.
Because I think now that I see that my children are asking AI,
for example, how to wrote the good message for a girlfriend,
for example. Yeah.
So you're scared, right? By your human, by by, by your
mind and by your heart. Yeah.
That's amazing. That's amazing.
Wow, so the boys of that days are getting girlfriends by
consulting AI, Yeah. But.
What a crazy world. It's interesting.
It's it's, it's been a great. Session with you today.
Thank you very much, doctors man of you know your work reminds us
that true intelligence, whether human or artificial tribes and
career see teachers of pain and purpose and because thank you
for sharing your wisdom. You know on the Indians podcast
today there's something I often say that when a person shares
their time with you, they share their life with you because the
SI unit for measuring life this time.
So love and respect to you and press.
I give it over to my Co host to have have some closer remarks of
our own. Yeah.
I just want to thank you so much just for your time and your
expertise and just understanding the impact that your experience
has on our listeners and the younger generation and people
that may be scared of these systems or they don't know how
to use them and how they're going to be impacting, you know,
their career, their lives. And at the end of the day, they
are still the master creator. And I just thank you so much for
that confirmation and all of that.
I appreciate your time so, so, so much.
Thank you. Thank you for you for invitation
and I hope it will be a good podcast.
Thank you very much. Thank.
You OK?