Hi, this is Dr. Bertalan Mesko, The Medical
Futurist. In this episode I want to talk about
a very special aspect of artificial intelligence.
To understand A.I.’s future role in healthcare,
medicine and your lives, you must understand
the language it speaks. Yes, it speaks a language
and you can master it. 
                          
When people look back at the first half of
the 21st century, they’ll see a time when
AI became omnipresent in our lives. They’ll
see that it was the biggest tectonic shift
in the history of our species. [1]But for
us, right at the doorstep of this technological
revolution, we need to get ready. AI will
fundamentally change our lives, our jobs,
and our healthcare. So if we don’t understand
how AI works, we’ll simply lose control. 
Think about AI as your employee, who does
a hell of a job, but speaks a foreign language.
To remain in control and to communicate with
it, you need to understand the language it
speaks.[2] So I set out on a journey to learn
it. But it wasn’t a programming language.
It was the language of chess. 
The obvious question is what chess has to
do with AI and its language. I think most
of us know, what AI algorithms do is that
they use data and methods to make better decisions
whether it’s the stock market or a self-driving
car. [3]But it’s the same language that
chess masters use to anticipate the opponent’s
moves. 
It’s the language of anticipation. In similar
fashion AI follows a decision tree that branches
according to the next steps[4] that have already
been computed and use machine learning to
create strategies to oversee the possible
steps and outcomes. This same language applies
to AI in healthcare and medicine too.
Thus the language of A.I. is similar to the
language of chess[5]. The minds of professional
chess players and physicians work in similar
fashion. Chess players have to think many
steps ahead [6]of every single move on the
board, anticipating the next course of action
and ready for most of the outcomes. Physicians
are doing the same every day, but on many
boards simultaneously. And in their case,[7][8][9]
a bad move can be the difference between life
and death. 
This is the most challenging and pressing
job in the world. But with AI, the language
of anticipation meets an unprecedented computing
power. And in that way, AI can “play”
thousands of games simultaneously, without
breaking a sweat, and it’s able to anticipate
the next moves like nobody or nothing else
before. It will be unbeatable in many cognitive
tasks and it’s time to embrace it.
Think of it like this: You’re in a labyrinth
that has several exit routes, but anytime
you’re stuck you can jump high enough to
get a bird’s eye view of the whole thing
through. [10]You would instantly know which
route you’ll have to take next to beat the
labyrinth. That’s how AI looks at chess,
banking, transportation, and given enough
data, even healthcare.
This is the language of anticipation. It’s
about building decision trees and trying to
predict the future. And if we know that that’s
how AI thinks, and that’s how it makes decisions,[11]
even if we don't understand the level of computing
power behind it, we’ll understand it enough
that we won’t be like analog clocks in a
digital world. It’s about finding a platform
where you can understand the same language.
For me, chess has proven to be the ultimate
solution for this.
Since 2018, I’ve been playing two hours
every day and meeting twice a week with my
trainer, Ármin Juhász, an International
Chess Master.[12] In February 2020, I hit
the 1000 hour bar of chess time, a personal
milestone, which gave me lots of insights
into not just the inner workings of algorithms,
but my decision making progress as well. Learning
the language of anticipa[13]tion is much easier
through learning games than anything else,
and I’d recommend it to everyone to do the
same. But in case you don’t have a spare
thousand hours to learn chess, here’s my
experience..
When I started this project, I had to come
to terms with the fact that my existing solution-oriented
skills were worth next to nothing in this
much more complex realm. [14]The language
of anticipation, the language of AI is much
deeper, than most people’s problem solving
skills. So I had to build new skills from
the ground up. I’ve diligently completed
over 33,000 tactic exercises[15][16][17] on
chess.com, take part in tournaments and analyze
games from Grandmasters.[18]
Prior to learning chess, I had a strategic
mindset when it came to tackling issues that
I would describe as one-dimensional: here’s
a problem, these might be obstacles and there
lies the solution. What has changed is that
I’m thinking in a whole new dimension as
well. Now I see decision trees. Whenever I
have to tackle a challenge, I see more potential
outcomes than ever before. By sim[19]ply breaking
problems down to their tiniest element, I
learnt to solve problems that used to seem
impossible to solve.
And as I reached those 1000 hours and analyzed
multitudes of chess matches from Grandmasters
and algorithms, I got to learn more than just
soft skills.
I learnt an unprecedented respect for A.I.
As I became more acquainted with the so-called
“A.I.-speak” through chess play, it felt
more and more like learning a new language.[20]
Now I understand more about what they do and
how they do it. It also became evident to
me that humans can never best A.I.
My ELO score which is the official chess rating
system is now around 1500 on chess.com. My
trainer’s real ELO score is around 2400.[21]
Keep in mind that a 50-100 ELO difference
on his level can be measured in 
years 
and even decades. 
-- Dialóg --
Now, the world’s best 
chess player has a 
score of about 2880. And AlphaZeroLeela, an
AI chess playing algorithm has an ELO score
of around 3400. It’s a number that has never
been even closely matched by any human. H[22][23]umans
can improve but algorithms improve exponentially.
Beating Leela, or an artificial intelligence,
is not a matter of computation power or time,
it’s simply impossible.
But to me, this did not mean that humanity
is doomed. On the contrary, my appreciation
and respect for algorithms, and their developers,
only kept growing. The experience proved to
me that our best bet is to understand and
embrace A.I.
For example, when Deep Blue beat Kasparov,
we thought it could be the end of chess as
we know it[24]. But since then, AI algorithms
have gifted us with unprecedented help and
knowledge. Today, no chess player can work
without using these algorithms daily, and
no chess trainer can work without them. Even
viewers who watch tournaments enjoy the games
more because there is a constant evaluation
from [25]algorithms.
But they showed us new ways to see the game
too. For example, since the birth of chess,
it was conventional wisdom that having the
upper hand in a chess game revolved around
the amount of materials on the board. Basically
we were conditioned to think that if you have
two more pawns or a bishop than I do, you
have a clear advantage. But AlphaZeroLeela
created a paradigm shift by proving that mobility
is in fact more important than materials.
This was unprecedented and might even reinvent
chess in the 21st century. [26]
There’s a quote from former Chess Champion
Garry Kasparov that resonates well with my
experience with chess: “I lost [chess] but
I survived, and I thought if you can’t beat
them, join them. From now on we have no choice
but to work with machines and make the best
algorithms.”[27] This is such a true statement
and is possibly the most important lesson
I learnt during my journey. We have to stop
thinking about AI as this strange thing that
will eventually replace us. Instead we have
to understand it, control it, and use it as
a tool, and a guide.
Let’s just go back to the analogy with the
labyrinth. A bird's eye view of every possible
step and outcome… An almost instant understanding
of how to beat the task at hand… [28]Now,
imagine this tool in the hands of doctors.
I think about the contributions A.I. can make
to the practice of medicine in the coming
years by turning conventional wisdom on its
head and introducing new approaches in treating
and managing treatments. I say it a lot, but
they’ll usher us into the true era of the
art of medicine. 
When the first cars were rolled out, pedestrians
had a hard time getting used to them, even
though there were only a handful on the streets
at the time and they were speeding with a
mind-blowing 10-20 miles per hour. [29]In
the upcoming era of the AI, it will be like
crossing a street in Monaco, during a Formula
1 [30] race or even hiding from flying cars
like in The Fifth Element. [31]And if we don’t
prepare for it now, we won’t even know what
hit us. 
The only time to decide whether you want to
stay in control in the future, is today.
https://www.youtube.com/watch?v=5dZ_lvDgevk&t=243s
52:14-52:21
https://www.youtube.com/watch?v=UwsrzCVZAb8&t=183s
8:16-8:20
https://www.youtube.com/watch?v=Rg9PN6DSAfc
0:42-0:49
https://pathmind.com/images/wiki/decision_tree.png
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https://www.youtube.com/watch?v=6vYJyOGKCHE
2:59-3:05
https://www.youtube.com/watch?v=eBrEMcAVpVg
12:28-12:34
_Marked as resolved_
_Re-opened_
https://www.youtube.com/watch?v=nMR5mjCFZCw
0:00-0:07
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és https://cdn.medicalfuturist.com/wp-content/uploads/2020/02/20191209_130355-406x512.jpg
https://www.youtube.com/watch?v=g7M3-84jaMQ
0:00-0:09
https://www.youtube.com/watch?v=VwogyV6FT6U
6:26 például
_Marked as resolved_
_Re-opened_
https://www.youtube.com/watch?v=M624T3PTggU&t=1055s
14:37-:14:50
kiírás Problem nyíl Obstacle nyíl Solution
utána Problem nyíl 3 Obstacle nyilak és
mindegyikbõl 2-2 Solutions
0:45 - 0:52
https://www.youtube.com/watch?v=GL-uWmw4YMA
https://miro.medium.com/max/1014/1*oRXLaU8Y5eJH_6VvAtKoyQ.png
AI preziben Ádám csinált ehhez ábrát
https://drive.google.com/file/d/1wXkEvNwT8J25P7EIhywl9O6IvDhMfupf/view?usp=sharing
https://i.insider.com/5e53dff1fee23d6ae640ce1a?width=1100&format=jpeg&auto=webp
https://www.youtube.com/watch?v=Owi4CM8AVwo
ebbõl 00:26-
12:27-tõl https://www.youtube.com/watch?time_continue=747&v=lFXJWPhDsSY&feature=emb_title
https://www.youtube.com/watch?v=6vYJyOGKCHE
5:53-6:00
https://www.youtube.com/watch?v=Ley9k94GoZU
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https://www.youtube.com/watch?v=wA2P76gQUCo
1:40-1:48
https://www.youtube.com/watch?v=yzW6bWTIhHU
2:53-:2:56
https://www.youtube.com/watch?v=kFdLgWrUt10
0:28-0:31
