How To Learn Anything
Summary
TLDRThis video explores 'Ultralearning' by Scott Young, a method for intense self-directed skill acquisition. The narrator shares personal success stories using ultralearning for SQL, AI, and even passing a driving test. The video outlines nine ultralearning principles, starting with meta-learning, designing an effective study plan, and progressing to techniques like directness, drilling weaknesses, and seeking feedback. It emphasizes the importance of focus, managing arousal for task complexity, and the value of testing oneself to reinforce learning. The discussion also touches on advanced principles like retention strategies and the pursuit of mastery through intuition and experimentation.
Takeaways
- 📚 The book 'Ultra Learning' by Scott Young teaches a self-directed and intense approach to skill acquisition.
- 🚀 Scott Young's own ultra learning project involved completing MIT's computer science curriculum in one year without attending classes.
- 🤔 The three core aspects of ultra learning are strategy, self-direction, and intensity.
- 🧠 Meta-learning, or designing an effective study plan, is crucial and should involve about 10% of the total learning time.
- 🎯 Focus is key during study sessions, and the book addresses common focus problems like procrastination and maintaining attention.
- 🔍 The principle of directness suggests learning should be as close as possible to the actual application of the skill.
- 💪 The principle of drilling involves attacking your weakest points to improve, similar to how athletes practice difficult parts of their routines.
- 📝 Retrieval practice, or testing yourself, strengthens neural connections and aids in learning and memory retention.
- 🔁 Feedback is essential for learning, with corrective feedback being the most beneficial as it provides guidance on how to improve.
- 🔗 Retention is improved through strategies like spacing out learning, using spaced repetition systems, and proceduralization.
- 🕵️♂️ Developing intuition and experimentation are key for those aiming for mastery, involving deep understanding and pushing boundaries.
Q & A
What is the main theme of the book 'Ultralearning' by Scott Young?
-The main theme of 'Ultralearning' is a strategy for acquiring skills and knowledge that is both self-directed and intense, focusing on the nine principles of ultra learning to achieve mastery in a short period.
What is an example of an ultra learning project mentioned in the script?
-An example of an ultra learning project is Scott Young completing the entire MIT curriculum for a computer science undergraduate degree in only one year without attending any classes.
What does the term 'meta learning' refer to in the context of ultra learning?
-Meta learning, or designing a study plan, refers to spending roughly 10% of the total learning time to figure out the best way to learn something and to design a study plan for it.
How does the script suggest using AI to improve the meta learning process?
-The script suggests using AI, like ChatGPT, to create a custom study plan by explaining what kind of study plan you're looking for, as AI can be trained on internet knowledge and search the internet to provide a tailored plan.
What is the significance of the 'why what how' principle in designing a study plan?
-The 'why what how' principle is significant in designing a study plan as it helps to clarify the motivation (why), the content (what), and the methods (how) of learning, ensuring the study plan is aligned with the learner's goals and effective.
How does the script relate the concept of arousal to focus during learning?
-The script explains that there is a relationship between arousal (alertness) and task complexity. Higher arousal narrows focus, suitable for simple tasks, while lower arousal broadens focus, which is beneficial for complex tasks.
What is the principle of directness in ultra learning?
-The principle of directness involves learning the task as close as possible to the situation or context where it will be used, ensuring that the learning is practical and relevant to the intended application.
Can you explain the principle of drilling as mentioned in the script?
-The principle of drilling is about identifying and attacking the weakest points in one's learning. It involves practicing the most difficult parts of a task repeatedly until they are mastered.
How does the script describe the principle of retrieval in ultra learning?
-The principle of retrieval involves testing oneself on the material to be learned, which strengthens the neural connections associated with the task and aids in memory retention.
What are the different types of feedback mentioned in the script, and which type is considered the best?
-The script mentions three types of feedback: outcome feedback, informational feedback, and corrective feedback. Corrective feedback is considered the best as it not only tells you if something was good or bad but also how to improve it.
How does the script suggest combating the forgetting curve in ultra learning?
-The script suggests combating the forgetting curve by spacing out learning sessions, using a spaced repetition system, and proceduralization, which involves learning something to the point of automation to make it difficult to forget.
What does the principle of intuition entail in the context of ultra learning?
-The principle of intuition involves deeply understanding a concept or subject to the point where one can almost intuitively solve problems or understand things, often by questioning and exploring the fundamentals.
How is the principle of experimentation described in the script?
-The principle of experimentation is about pushing boundaries and trying new approaches in one's field of learning. It is crucial for becoming a master as it involves creating and exploring beyond existing knowledge.
Outlines
📚 Embracing Ultralearning for Personal Growth
The speaker shares their transformative journey with 'Ultralearning' by Scott Young, a book that empowered them to acquire new skills and knowledge rapidly. They mastered SQL for job interviews, started a YouTube channel, learned AI, and even passed a driving test with minimal study time. The video aims to dissect the book's nine principles of ultra learning and apply them to one's life. The concept of ultra learning is introduced as a self-directed, intense strategy for skill acquisition, exemplified by Scott Young's completion of an MIT computer science curriculum in a year without attending the institution. The speaker emphasizes the book's impact on their self-learning journey and encourages viewers to adopt these strategies.
🎯 The Power of Meta-Learning and Focus
The speaker delves into the first principle of ultra learning: meta-learning, which involves designing an effective study plan. They suggest spending about 10% of the total learning time on planning, using the 'why-what-how' framework to clarify objectives, content, and methods. The video introduces an AI tool, 'guide,' which generates step-by-step documentation for complex tasks, streamlining the learning process. The second principle, focus, addresses common issues like procrastination, sustaining attention, and creating the right kind of focus for task complexity. The speaker discusses how arousal and task complexity are linked, advising on modifying one's environment to optimize focus for different types of tasks.
🔍 Directness and Drilling to Strengthen Learning
The principle of directness is explored, advocating for learning tasks in a context as close as possible to their actual usage. The speaker recounts their experience of quickly learning SQL for data science interviews by practicing interview questions directly related to the task. They also introduce the principle of drilling, which involves identifying and targeting weak points in one's learning through focused practice. Techniques like time slicing are mentioned to improve performance in specific areas. The speaker emphasizes the combination of directness and drilling for mastering skills effectively.
📝 Retrieval, Feedback, and Retention Strategies
The speaker discusses the principle of retrieval, which posits that testing oneself is a powerful method for learning and strengthening neural connections. They mention various retrieval tactics like flashcards and self-generated challenges. Moving on to feedback, the speaker distinguishes between outcome feedback, informational feedback, and corrective feedback, highlighting the importance of the latter for improvement. They also touch on AI's role in providing personalized feedback. Lastly, the principle of retention is introduced, addressing the brain's tendency to forget through the forgetting curve. Techniques to combat forgetting include spaced repetition and proceduralization, which automate skills for long-term retention.
🧠 Cultivating Intuition and Experimentation for Mastery
The speaker concludes with the principles of intuition and experimentation, crucial for reaching expertise. They illustrate how deep understanding, as demonstrated by Richard Feynman's questioning approach, builds a strong foundation for intuition. The principle of experimentation is exemplified by artists like Van Gogh, who pushed boundaries through continuous exploration. The speaker suggests that experimentation is particularly important at higher learning levels where resources are scarce. They wrap up by encouraging viewers to apply these principles for mastery in their fields and express openness to creating more book review videos based on viewer feedback.
Mindmap
Keywords
💡Ultra Learning
💡Meta-Learning
💡Focus
💡Directness
💡Drill
💡Retrieval
💡Feedback
💡Retention
💡Intuition
💡Experimentation
Highlights
The book 'Ultra Learning' by Scott Young teaches a self-directed and intense strategy for acquiring skills and knowledge.
Scott Young's personal ultra learning project involved completing MIT's computer science curriculum in one year without attending classes.
Ultra learning is not limited to academic subjects; it can be applied to learning any skill, such as art or game design.
Meta-learning, or designing an effective study plan, is the first principle of ultra learning, recommending spending 10% of total learning time on this phase.
AI can be utilized to expedite the meta-learning phase by generating custom study plans based on user needs.
Guide, an AI tool, can create step-by-step video guides for complex tasks, enhancing learning and documentation processes.
The principle of focus involves addressing procrastination, sustaining attention, and creating the right kind of focus for task complexity.
Modifying arousal levels based on task complexity can optimize focus for learning.
Directness in learning involves practicing a skill in a manner as close as possible to its actual application.
Drilling focuses on identifying and repeatedly practicing weak points until they are mastered.
Time slicing is a drilling technique where one practices only the most difficult parts of a task.
Retrieval practice, or testing oneself, strengthens neural connections associated with the learned material.
Feedback is crucial for learning, with corrective feedback being the most effective in identifying and fixing errors.
Retention strategies like spacing out learning sessions and using space repetition systems can combat the forgetting curve.
Proceduralization turns learned skills into automatic procedures, making them harder to forget.
Intuition in ultra learning involves deeply understanding a subject to the point of gaining an intuitive grasp of it.
Experimentation is key to pushing the boundaries of knowledge and achieving mastery in a field.
Transcripts
this book taught me how to learn it's
how I learn SQL in order to pass my data
science interviews and ultimately get my
first data science job it's how I learn
how to make videos and start this
YouTube channel and this entire business
it's how I learned Ai and most recently
it is how I pass my driving test after
less than 2 hours of study the Knowledge
Test not the road test you should
definitely study for longer than 2 hours
on the road test anyways in this video
I'm going to cover the book Ultra
learning by Scott young go through the
concepts and talk about how to apply
these in your life and how I appli them
to my life this is the book that
kickstarted my self- Learning Journey
and it just changed my life and I hope
it will for you as well okay homer I'm
ready to learn what's the first lesson
this book is structured to cover the
nine principles of ultra learning but
before we actually get into that let's
actually Define Ultra learning Ultra
learning is a strategy for acquiring
skills and knowledge that is both
self-directed and intense the three
keywords here are strategy self-directed
and intense that is what describes an
ultr learning project for example one of
the first Ultra learning projects that
Scott young the author did is to
complete the entire MIT curriculum for a
computer science undergraduate degree in
only one year and without actually
attending MIT were going to any of the
classes by the way this was back in 2011
so there was not yet all of these like
free resources and courses that are
posted on YouTube and all over the
Internet it was a lot harder back then
so his strategy was to list out all the
units and all the courses that he had to
take and focus on passing their final
exams and the projects it's
self-directed because he wasn't actually
attending the school and he was just
like learning everything himself and it
is intense he did everything in one year
for example for his multivariate
Calculus class he literally studied
everything in 5 days and then did the
exam and I finished single variable
calculus I started the course on Monday
and I finished writing the final exam
Friday afternoon just to be clear Ultra
learning is not confined to a certain
topic or just for passing exams it is
for learning anything that you want to
learn Scott also use ultra learning to
improve his art and be able to draw
realistic faces in only 30 days Eric
Baron I think his name is he used these
principles in order to single-handedly
learn game design and create a really
really popular game called stard do
value I've gathered all the necessary
strategy and tactics to finally defeat
you principle number one is meta
learning AKA designing a study plan
according to Scott before you jump into
learning you should spend roughly 10% of
the Total Learning Time on figuring out
what is the best way of learning the
thing you want to learn and designing
the study plan for example for his MIT
challenge it was 12 months in total so
around 10% of that is a little bit over
30 days 36 days which he devoted to
figuring out what's the best way to
learn so actually in a bit I'll show you
how to cut down on that time period a
lot but first let's cover how to design
a study plan based on the why what how
principle why is why do you want to
learn something for example I want to
learn Japanese because I want to be able
to watch anime without
[Music]
subtitles what is what what are you
learning I'm learning the structure of
the Japanese language the pronunciation
of things and the vocabularies and the
how is how do you learn these things
doing research Maybe by like watching
YouTube videos go on Reddit and maybe
looking at different programs and course
curriculums the book recommends spending
a lot of time doing this designing your
study plan because if you're on the
wrong study plan then ultimately you
know you're not going to be learning the
right things he even goes as far as
saying you should conduct expert
interviews to check over your study plan
but I have good news you can potentially
cut down this time by like 80 90% even
like 90 5% by using something like this
prompt for Chachi BT or whatever your
favorite AI model is since AI is trained
on the knowledge of the internet and it
can also search the internet if you're
able to explain properly what kind of
study plan you're looking for it is
really good at making that custom study
plan for you if you want to be extra
sure maybe you can take that study plan
and show it to somebody who for example
already knows Japanese but yeah I find
that for metal learning AI is a tool
that can just save you so much time
here's also a prompt that I use in order
to come up with a study plan to learn
JavaScript you can also switch that out
for like python or any other language
that you want I'm not going to go into
more detail about the prompt itself you
can just check it out Link in the
description okay now that we have our
study plan we can get started studying
and also move on to the next principle
of ultra learning have you ever had to
explain a process to someone like click
this click this enter here and then
enter here and they're like what and
then you have to explain it to them
again well I want to introduce you guys
to a very Nifty little AI tool called
guide guide is a GPD power tool that can
explain the most complex task in seconds
using AI generated documentation let me
actually show you to to get started on
their website just click on install free
extension and then make sure that it's
pinned on Chrome now here is the admin
portal for lonely octopus where we add
courses to people's custom study plans
so say here I want to add a custom study
plan for Tina I would click on guide
over here click capture what are you
capturing is knowledge and documentation
and it's how to add courses to a custom
study plan and then go through the
process of adding a course say chat be
technical self boot camp introduction to
python maybe some pandas and
introduction to AI product development
so I got to rank these into order that
they appear on a study plan and I click
save then I go to guide and they app
will generate this step-by-step video
guide select the course you want to add
to your study plan it has visuals it has
voice over and it has like these call to
action call out buttons as well so we
already do have documentation for things
because we are not Savages but it's like
in this text form and I can like really
long and it takes a really long time to
do but now that we know about guide for
the coming cohort we're actually going
to be using guide to update our
documentation cuz it's just so much like
easier faster and just clearer you can
easily edit the video the visuals the
audio the voiceover and the motions and
captions and once you're ready and
satisfied you can just click on share or
embed your guide anywhere for your team
to see the best part is that this
browser extension this app is 100%
completely free you can check it out
over here also linked in description all
right now back to the
video I want 100% commitment and laser
focus right principle number two is
focus how to be laser focused in your
study sessions the book says that there
are three major problems that people
have when it comes to focus so problem
one and two is covered in a lot of other
books already so I will only briefly
touch on them but problem three this is
the only book that talks about this one
and it's what I think has helped me the
most problem one is failing to start AKA
procrastination some types the combat
does would be like the 5-minute rule in
which you try to get yourself to study
for 5 minutes and you'll find that the
rest of the time would be a lot easier
and pomodora studying for a specific
period of time and then taking a break
for a specific period of Time problem
two is failing to sustain Focus like
after you get over your procrastination
but then you still cannot focus this is
mostly about environment control like
getting rid of distracting things like
your phone food maybe your friends go
away while you're studying and problem
of three is failing to recreate the
right kind of focus there is a
relationship between arousal and task
complexity by arousal I mean not that
kind of arousal it's kind of like
alertness um how alert you are how awake
you feel and tax complexity is how
difficult and complex the task is for
example just having to memorize
something will be considered low task
complexity while say like building an
entire application would be considered
high task complexity the greater the
arousal the more narrow your focus is
and the more suitable that is for more
simple task like memorizing something or
practicing something repetitive like
throwing a start or a layup while for
more complex task like doing math
writing an essay you want your arousal
to be lower so your focus is wider
because complex tasks require to use
different parts of your brain okay so
how does this relate to creating the
right kind of focus well you can modify
your arousal based on the task that you
have to do for example like you know
today that you're going to be memorizing
flashcards you know that's a simple task
so is better to have a higher level of
arousal and you can increase your level
of arousal by essentially increasing
your stimulation both external
stimulation like you can go somewhere
where there's background music there's
background noise like a coffee shop or
internal stimulation um by doing
something like drinking coffee or
working out isn't that really cool like
if you understand that relationship
between arousal and task complexity
you're able to modify your environment
your external and your internal
environment to create like Optimal
amounts of focus depending on what it is
that you want to accomplish ballseye the
principle of directness means learning
the task as close as possible to the
situation where context that you're
going to use it in when I Was preparing
for my data science interviews I
realized that a lot of the interviews
were going to be in SQL the problem was
I didn't know any SQL so I had to learn
everything real quick uh before taking
the interview which was in 11 days this
is when the principle of directness
saved my ass because in order to prepare
for it there are a lot of things I could
do I could try reading through a SQL
textbook I could take like an online
course about SQL I could watch YouTube
videos about SQL but the most direct way
of practicing for a SQL data science
interview was by practicing SQL
interview questions and specifically SQL
interview CS from that company which was
meta so I went on glass door and
filtered meta data science interviews
and I literally picked out every single
interview question that people have done
then I reverse engineered these
questions to figure out exactly what it
is that I need to learn and I did that
for those 11 days practicing those
questions in that interview style and it
paid off because when I went into that
interview two of the questions were
almost exactly the same as questions I
had already done some other examples of
directness say you want to be
conversationally fluent in French the
best way of learning is literally to go
find some French people and try talking
to them the the oppose just be
YouTuber if you want to learn to code
the best way is to find a project and
code the entire project yourself but you
may be thinking at this point like isn't
that a chicken or egg problem like how
are you supposed to converse with
someone in French if you don't know any
french how are you supposed to code a
project if you don't know how to code
well that is where the next principle
comes in you are the weakest link the
principle of drill the principle of
drilling is about attacking your weakest
point so what you want to do is first
apply the principle of directness and go
do the task that you want to accomplish
and while you're doing it especially in
the very beginning you realize that you
don't know like pretty much everything
right for example if you were me and in
the unfortunate situation where you had
an interview in 11 days and you just saw
your first metad data science interview
question in sequ
I don't even know what that means so I
started making notes like okay I got to
like figure out what's the actual
structure of a SQL query what does the
from mean what does select mean like
this conditional part oh you're able to
use something called wear which is
you're able to filter certain parts of
the table so yeah I kept on doing that
writing out what I didn't understand
going and learning that thing and then
coming back and doing more of the
questions and every time I ran into
something that I didn't understand I
would go learn that part specifically
window functions for example I ran into
window functions in one of the questions
and I didn't really understand how it
worked so then I just really focused on
window functions and did a bunch of
questions related to the window
functions until I figured out how to use
it a very common drooling tactic for
musicians or for athletes is something
called time sharing I think my
handwriting is so bad I you can tell I
can't read I will put this on I think
it's time time slicing time slicing oh
my God yes so time slicing this is when
you take a task and you isolate and
practice the most difficult part of it
say as part of a song that you're
rehearsing you will just keep practicing
the part that is the most difficult or
say you're a basketball player and
you're focusing specifically on layups
layouts you get what I mean this
combination of directness and then
Drilling and then just over and over
again until you master a craft this is
such a powerful combination of
techniques I can testify that it is a
game Cher okay next principle Pop Quiz
everybody the principle of retrieval is
about testing yourself to learn Scott
says that the best way to learn
something is to actually test yourself
on it this may sound very
counterintuitive until you understand
the phrase neurons that wire together
fire together you see anything that
you're learning from a neuroscience
perspective is simply encoding something
into the neurons of your brain your
brain cells specifically it's about
certain networks of neurons that depict
the information that you're trying to
learn now the better you get us
something the stronger the network of
connections of your neurons is going to
be for that specific task like the
better you are are coding the stronger
your coding networks of brain cells are
going to be so what does that have to do
with testing well testing yourself
forcing your brain to activate and
reactivate that network of neuronal
connections associated with the task is
the single best way in order to
strengthen that Network when you're
learning to code you could just like
watch some tutorials of like other
people code or just like I don't know
like do some games about coding but that
wouldn't really like activate that
neuronal Network that much so you don't
really like deepen your understanding of
it that much but if you do something
like force yourself to write an entire
application you're testing your own
understanding by forcing that neuronal
network of coding stuff by reactivating
and keep activating so by the time
you're done building that application
that skill of coding is so deeply
encoded into your brain cells like
literally into your brain cells some
other retrieval tactics that the book
talks about includes flash cards which
is really good for vocabulary free
recall which is just saying the thing
that you learn but in your own words and
self-generate ated challenges or the
question book method where you rephrase
the thing that you're trying to learn as
a question for example when I was
studying for the driving test I would
ask myself what does it mean when
there's a flashing green light by the
way if you know the answer to that put
it in the comments for some reason a lot
of people don't know the answer to that
very concerning I thought maybe you can
give me your feedback feedback feedback
feedback feedback feedback I'm sure that
you already know that everybody's told
you you should always get feedback but
did you know that there's actually three
types of feedback the first type of
feedback is called outcome feedback for
example there's this very famous
comedian called Chris Brock he would go
to like these smaller shows like usually
he has like big soldout shows right but
he would go to like these smaller kind
of like standup places and tell some of
his new jokes in order to gauge the
audience's reaction like do they laugh
or do they not laugh that's how he knows
that it's a good joke or it's not a good
joke this is outcome feedback where you
only know if the joke is funny or not
funny when I first released a video I
can tell that it's a good video or a bad
video based upon how many people want to
click on the video and watch it if you
get this type of feedback it's already
very very helpful but you can upgrade
this feedback to informational feedback
this would be like Chris Rock asking his
audience why do you think that was funny
or why do you think it wasn't funny or
me looking at the comments to see what
it is that people liked or didn't like
about a video it tells you what it is
that you're doing wrong or you're doing
right but it doesn't tell you why or how
to fix the things to improve the third
type of feedback and the best type of
feedback it's called corrective feedback
this not only tells you whether your
thing you did was good or bad why it's
good or bad but also how to fix the bad
parts how do you improve to the next
level this type of feedback usually
involves having to hire like a mentor or
coach where they can like exactly look
at whatever it is you're doing and point
out like your golf swing for example
maybe you should I don't know like
adjust your grip exactly like this in
order to improve it or if it's your code
doing a code review and pointing out
like here is exactly what you can do in
order to make your code better this can
be really really expensive but just by
the fact that how many people are
willing to hire like a personal coach
just shows how useful this kind of
feedback could be by the way this is
also an area where AI is amazing as a
learning tool because it's able to give
you that individualized informational
feedback when you feed it something like
your code where you're writing and you
ask it to like give you feedback as to
how it is that you can correct it and
make it better so I recommend playing on
with Chach BT to get this kind of
feedback at a fraction of the cost to
ensure maximum retention principle
number seven is retention imagine a
bucket with some holes in it that is
your brain now imagine that you're
pouring water or knowledge or things
that you're learning into the bucket so
you're learning things but at the same
time it is Flowing out you're also
forgetting things at the same time
unfortunately our brains are leaky
buckets and they can be seen by what is
called the forgetting curve after you
learn something you immediately start
forgetting about it the most amount of
forgetting happens right after you learn
it and over time the rate of forgetting
decreases but you're still like slowly
forgetting stuff in the book Scott
explains that Ultra Learners not only
focus on getting information into the
brain they also address the fact that
they need to prevent information from
leaking out of the brain as much as
possible the book talks about a few
different tactics that you can use in
order to combat the forgetting curve the
first one is spacing out your learning
so this is unfortunate news maybe for
some of us like me who um have trouble
with procrastinating and not cramming
things but apparently if you're spacing
out your study sessions like instead of
cramming 10 hours one day before the
exam but you know study 1 hour 10 days
for the exam that is a lot better in
remembering things there's also
something called a space repetition
system where if you're especially trying
to like remember something and have some
flash cards there's a way of like
spacing the learning so that it's the
most optimal for your brain there is a
free app called anky that does this so
definitely check that out if you need to
memorize a lot of things another one is
called proceduralization you might have
heard the phrase that you never forget
how to bike where like you never forget
how to swim and that's because once you
automate how to do something like biking
or swimming it gets encoded into your
brain differently so it's very difficult
for you to forget in the beginning when
you're trying to learn how to ride a
bike it might be quite difficult CU
you're trying to remember like oh I have
to hold the handle like this I have to
remember to balance I have to remember
to pedal and all these things but after
it becomes automated in your head it
gets like encoded into your brain and
even like 10 years later you get on a
bike you still know how to bike so if
you manage to learn something enough so
that it becomes automatic and a
procedure in your brain then the
likelihood of you forgetting it is much
lower okay at this point we're nearing
Mastery and the last two principles are
for people who really want to become
expert my spidey sense is tingling the
principle of intuition is about really
digging deep into a concept into a
subject until you gain like almost an
uncanny ability of solving problems or
just like understanding things a really
good example of this is Richard Fineman
he's said to have almost like a magical
sense of understanding when it comes to
like numbers and it comes to physics and
that's because he has a very solid grass
of fundamentals if you just tell him f
is equal to ma force is equal to
masstimes acceleration just memorize
that he'll be like no why why is force
equals m * 8 why is there a linear
relationship why is force measured the
way it is why is mass the way it is why
is acceleration the way it is like why
why why why why why and he'll just keep
digging and digging until he like truly
understands all of the components that
is the mindset of someone who becomes an
expert I'll put on screen out the fan
technique U this is what he asks himself
every time that he's learning something
so he's able to dig really really deep
and truly grasp that information hey
look experiment 78 the principle of
experimentation this is a principle that
is crucial to becoming a true master in
your field you see whenever you learn
something there's always the most amount
of resources for beginners like if you
just type introduction to python um onto
Google there's like literally so many
courses that are here and if you go on
YouTube there's like countless videos
covering introduction to python however
once you start getting to the
intermediate and to the Mastery level
the amount of resources become fewer and
fewer and this is normal because there's
just like less people who are at like
the Mastery level right and those who
are at the Mastery level they're
probably focused on like mastering their
craft as opposed to like making courses
teaching other people about the craft so
that is where experimentation comes in
Scott gives the example of enko the
amazing painter that painted star KN and
a lot of other masterpieces he is
someone that embodies experimentation
throughout his career he's experimented
with so many different things different
mediums different usages of color
different styles of paints how thick his
paint is different techniques the
subjects of his painting his internal
states he pushes the boundaries and
tries things that are just outside of
what anybody even imagined and that is
how he became a master of his craft
unlike artists like Leonardo da Vinci
who was just kind of known as a genius
van go a painter like van go became a
master he became a genius because of his
experimentation and pushing the
boundaries maybe in some ways having a
lot of talent and being known as a
genius may actually PR vent you from
pushing the boundaries of what is known
but that is the topic of another video
all right so thank you so much for
watching until the end of this video I
try my best to cover this book
comprehensively and in like a more
action-based way let me know comments if
you like this kind of video cuz I've
never actually done a book review video
before um you like it we might make it
into a series all right thank you all so
much for watching and I will see you
guys in the next video or live stream
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