What I've Learned Reading These 7 Books about AI
Summary
TLDRThis video script explores a selection of influential books on artificial intelligence, discussing their insights on AI's potential impact on society. It covers topics from the ethics of AI alignment, the challenges of creating beneficial AGI, to the societal and economic effects of rapid technological advancement. The summary provides a thought-provoking overview, encouraging viewers to consider the future of AI and its alignment with human values.
Takeaways
- 📚 2024 is celebrated as the 'Year of AI', marking a transition from theoretical exploration to practical application in AI technologies.
- 🧠 'Life 3.0' by Max Tegmark discusses the evolution of life forms, from biological to technological, and the potential for AI to become a life form capable of self-improvement.
- 🤖 The debate on the timeline of Artificial General Intelligence (AGI) is highlighted, with skeptics doubting its near-future realization and proponents urging for proactive measures for its ethical development.
- 🚀 'Superintelligence' by Nick Bostrom explores the potential rapid development of AI beyond human intelligence, emphasizing the need for global collaboration to ensure AI safety.
- 🧩 The concept of 'whole brain emulation' is introduced as an alternative to current machine learning approaches, suggesting a computer could learn and evolve like a human brain.
- 🌊 'The Coming Wave' by Mustafa Suleyman examines the impact of accelerating technology on society, including the potential for job displacement and the necessity for coordinated efforts to manage technological change.
- 💡 'Power and Progress' by Darren Acemoglu and Simon Johnson challenge the assumption that technological advancement automatically leads to societal progress, suggesting that it can exacerbate inequality.
- 🛠 'Human Compatible' by Stuart Russell addresses the problem of controlling AI and ensuring it remains aligned with human values, proposing three principles for beneficial AI.
- 🔍 'The Alignment Problem' by Brian Christian delves into the challenges of aligning AI systems with human values, discussing bias, fairness, and transparency in machine learning models.
- 📘 'Artificial Intelligence: A Modern Approach' by Peter Norvig and Stuart Russell is a comprehensive textbook providing a foundational understanding of AI, covering topics from problem-solving to machine learning and beyond.
Q & A
What is the main theme of the video?
-The video discusses some of the most interesting books about artificial intelligence (AI) written by well-known experts in the field, focusing on how AI is expected to progress from exploration to execution in 2024.
Who is the author of 'Life 3.0', and what are the main themes discussed in the book?
-Max Tegmark, a physicist and machine learning researcher, is the author of 'Life 3.0'. The book discusses three tiers of life: biological, cultural, and technological, and explores the implications of artificial general intelligence (AGI) and the potential future scenarios it could bring.
What are the two main camps regarding the future of AGI as described by Max Tegmark?
-The two main camps are the 'technoskeptics,' who believe AGI won't happen for hundreds of years and is not a current concern, and the 'beneficial AI movement,' who believe human-level AGI is possible within this century and requires significant effort to ensure a good outcome.
What is the central idea of Nick Bostrom's book 'Superintelligence'?
-Nick Bostrom's 'Superintelligence' discusses the potential rapid and explosive development of superintelligent AI, the possible ways to design such AI, and the importance of AI safety to prevent harmful outcomes.
What is whole brain emulation, as mentioned in 'Superintelligence'?
-Whole brain emulation is the idea of building a computer that can simulate the human brain, learning like a child and getting smarter through interaction with the real world. However, it is challenging due to our limited understanding of the brain and consciousness.
What does Mustafa Suleyman's book 'The Coming Wave' discuss?
-Mustafa Suleyman's 'The Coming Wave' discusses the accelerating pace of technological advancement, particularly in AI, quantum computing, and biotechnology, and the potential societal impacts, including job automation, digital weapons, and the need for coordinated efforts to manage these changes.
What are some concerns about AI technology as discussed in 'Power and Progress' by Daron Acemoglu and Simon Johnson?
-The book argues that technological advancements, including AI, can exacerbate inequality by benefiting a small group of individuals and corporations, while many workers see their real incomes decline. It also discusses the need to redirect technology to benefit everyone and avoid the pitfalls of excessive automation.
What does Stuart Russell propose in his book 'Human Compatible' for designing AI systems?
-In 'Human Compatible,' Stuart Russell proposes designing AI systems that are altruistic, humble, and capable of learning human preferences to ensure they align with human values and do not cause harm, addressing the fundamental flaws in current AI design approaches.
What is the 'alignment problem' as discussed by Brian Christian in his book?
-The 'alignment problem' refers to the challenge of making AI systems that align with human values and intentions. Brian Christian's book explores the history and current efforts to address issues of bias, fairness, and transparency in machine learning models.
What is the importance of the textbook 'Artificial Intelligence: A Modern Approach' by Peter Norvig and Stuart Russell?
-The textbook is a comprehensive resource covering the foundational concepts of AI, including problem-solving, knowledge representation, planning, machine learning, and more. It is essential for students and researchers studying computer science and AI.
Outlines
🤖 AI's Future and 'Life 3.0' by Max Tegmark
This paragraph introduces the concept of the year 2024 being the year of AI and discusses the book 'Life 3.0' by Max Tegmark. Tegmark, a physicist and machine learning researcher, categorizes life into three tiers: simple biological life, cultural life, and technological life, where the latter can design both its software and hardware, potentially leading to an intelligence explosion. The paragraph explores the debate on artificial general intelligence (AGI), mentioning the two main camps: techno-skeptics who believe AGI is far off, and the beneficial AI movement who think it's possible within this century but will require hard work for a good outcome. The book also touches on AI's impact on various domains and the difficulty of ensuring AI safety, concluding with the idea that instead of fearing AI, we should focus on shaping the future we want, considering questions of job automation and societal control.
🧠 Superintelligence and the Design of Intelligent Machines
The second paragraph delves into Nick Bostrom's 'Superintelligence', discussing the rapid advancement of AI beyond human intelligence levels and the potential for an explosive growth in intelligence. It mentions two approaches to designing superintelligent machines: imitating human thinking through neural networks and simulating the human brain. The paragraph also addresses the challenges of whole brain emulation due to our limited understanding of consciousness. It further explores the importance of AI safety, the potential misalignment of superintelligent AI with human values, and the concept of instrumental convergence, where AI with seemingly harmless goals could act in harmful ways. The need for global collaboration to ensure AI safety is emphasized, along with the significance of open-source contributions to AI development.
🌐 The Coming Wave of Advanced Technology and Its Impact
This paragraph summarizes 'The Coming Wave' by Mustafa Suleyman, co-founder of Google DeepMind, who posits that we are on the brink of a transformative threshold in human history with advanced AI, quantum computing, and biotechnology. The book is divided into four parts, discussing the acceleration of technology, the potential collapse of nation-states if unable to manage technological advancements, job automation, and the necessity of containment. Suleyman emphasizes the need for coordination among technical researchers, businesses, governments, and the public to ensure technology benefits all of humanity and doesn't lead to dystopian scenarios.
📈 Technology, Prosperity, and the Societal Progress Debate
The fourth paragraph examines 'Power and Progress' by Darren Acemoglu and James A. Robinson, challenging the assumption that technological advancement automatically leads to societal progress and shared prosperity. The authors argue that technology can exacerbate inequality, with benefits often captured by a select few. They discuss the impact of AI and automation on jobs, advocating for technology that empowers humans rather than replaces them. The book also introduces the term 'social automation' and offers policy recommendations to redirect technology towards a more equitable future.
🔒 Human Compatible AI and the Challenge of Control
The focus of this paragraph is Stuart Russell's 'Human Compatible: AI and the Problem of Control', which discusses the design of AI systems that are helpful to humans without causing harm. Russell emphasizes the need for AI to understand human values and the complexity of defining objectives that consider all possible outcomes. He proposes three principles for beneficial AI: altruism, humility, and the ability to learn and predict human preferences. The book also addresses the complications arising from the diverse preferences of billions of humans and the ethical implications of AI development.
🤖 The Alignment Problem: Teaching AI Human Values
The final paragraph covers Brian Christian's 'The Alignment Problem', which explores the challenges of aligning AI systems with human values and intentions. The book provides a historical overview of deep learning and neural networks, discussing biases, fairness, transparency, and the ethical implications of AI in various sectors. It also examines reinforcement learning, including methods like inverse reinforcement learning and human feedback, and concludes with a discussion on dealing with uncertainty in AI systems.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Life 3.0
💡Techno-Skeptics
💡Beneficial AI Movement
💡Superintelligence
💡Consciousness
💡Instrumental Convergence
💡AI Safety
💡Ethical Implications
💡Reinforcement Learning
💡Artificial General Intelligence (AGI)
💡Job Automation
Highlights
2024 declared as the year of AI, emphasizing the transition from exploration to execution in AI development.
Discussion of 'Life 3.0' by Max Tegmark, which outlines three tiers of life and the potential of technological species to cause an intelligence explosion.
Debates on the future of artificial general intelligence (AGI) and the existence of two main camps: techno-skeptics and the beneficial AI movement.
The importance of asking 'what should happen' in the development of AI, rather than just 'what will happen'.
'Superintelligence' by Nick Bostrom explores the concept of an intelligence explosion and the design of super intelligent machines.
The idea of whole brain emulation as an alternative to current AI development methods.
The challenges of AI safety and the need for global collaboration to ensure beneficial outcomes.
The 'coming wave' of technology as discussed in 'The Coming Wave' by Mustafa Suleyman, predicting rapid changes in society due to advancements like AI and quantum computing.
The potential societal and economic impacts of AI, including job automation and the need for retraining.
'Power and Progress' by Darren Acemoglu and James A. Robinson challenges the assumption that technological advancement automatically leads to shared prosperity.
The recommendation for AI to focus on automating routine tasks rather than creative and non-routine tasks to empower humans.
The concept of 'social automation' and the pitfalls of rushing to replace human workers with machines.
'Human Compatible: AI and the Problem of Control' by Stuart Russell discusses designing AI systems that are aligned with human values.
The proposal of three principles for beneficial AI by Stuart Russell: purity, humility, and the ability to learn human preferences.
The 'Alignment Problem' by Brian Christian examines the challenges of making AI systems aligned with human values and the ethical implications of AI.
The comprehensive textbook 'Artificial Intelligence: A Modern Approach' by Peter Norvig and Stuart Russell as a foundational resource for AI education.
Transcripts
2024 is declared to be the year of AI
where we see even more progress and a
transition from exploration to execution
I don't know to which extent is true but
I'd like to be prepared for it at least
mentally so today we'll be talking about
some of the most interesting books about
artificial intelligence written by some
well-known experts in the field without
further Ado let's Jump Right In the
first book we'll be talking about is
live 3.0 by Max techmark he's a
physicist and machine learning
researcher in this book techark talks
about three different tiers of life
since the start of the Universe from
simple and biological like the little
bacteria who can't really change much
about its own body and also its own
software to cultural life where the
species still can't change their own
biological body but it can design its
own software by learning new skills new
languages and new ideas and the author
argues that this flexibility has given
humans the power and the ability to
dominate the planet but our brains are
still largely the same as our ancestors
thousands of years ago and here comes
next to live 3.0 where we have
technological species it can design both
its software and its own Hardware
causing an intelligence explosion so
there's a lot of debate about what this
future artificial general intelligence
life 3.0 or whatever you want to call it
how it will look like few people
actually believe in extreme good or
extreme bad scenarios will either all
die in a few years by AI or we live in a
heaven-like world thanks to AI most
people actually fall into the two main
camps as techmar calls them the technos
Skeptics who believe AGI is so hard that
it won't happen for hundreds of years so
don't worry about it now and the
beneficial AI movement Camp who believes
human level AGI is possible within this
century and a good outcome is not
guaranteed we need to work really hard
for it you might still remember around
this time last year there was a heated
debate when the open letter about
pausing giant AI experiments signed by a
lot of well-known figures in the field I
think I did actually sign the open
letter myself reading this book makes me
realize that those technos Skeptics who
thought this letter was totally
unnecessary it doesn't mean that they
are Reckless and they don't care about
the risks it's just that they have a
much longer timeline in mind undering
put it this way fearing a rise of Killer
Robots is like woring about
overpopulation on Mars and Yan lagun
also thinks LMS today are still too
stupid to be worried about but on the
other hand the people who want about the
AI risks are not necessarily AI doomers
they just have a closer timeline in mind
as to when AI will happen so there's no
consensus on how fast things will go the
book also discuss different impact AI
has on different domains such as
military Healthcare and finance also why
AI safety is difficult and deserves more
research there's also a whole chapter to
discuss a wide range of AI aftermath
scenarios from the best scenarios to the
most absurd scenarios should we have an
AI protector God or enslaved God or 1984
surveillance kind of word I find it
really entertaining and also very
thought-provoking at the same time my
favorite takeaway from this book is that
asking the question what will happen is
asking the wrong question the better
question to ask is what should happen
happen we do have the power to influence
and shape our future so it's important
to figure out what do we actually want
what kind of world do we want to live in
where we want to have complete job
automation who should be in control of
the society humans AI or cyborg so if
you enjoy these kinds of high level
discussion and want to have a birde eyee
view of all things AI related I'd highly
recommend this book and it's extremely
well written and easy to read and very
insightful all right the next book we'll
be talking about is another classic
super intelligence by Nick Bostrom the
central idea of this book that's also
described very nicely on a blog post
from W but why is that in the grand
spectrum of intelligence the distance
between a village idiot and Einstein is
actually quite smallart once the AI
intelligence passed the chimpanzee and
dumb human stages it can certainly be
much smarter than us there's a certain
crossover points where the AI system
will start becoming smarter by itself
this is why in this book Nick bom
believes that super intelligence if it's
happening it's more likely to be fast
and more likely to be explosive one
reason to believe intelligence explosion
is more likely to happen than a slow
process is that machine intelligence can
benefit from breakthroughs from other
fields in rather unexpected ways and of
course this is not to mention Quantum
Computing and that one day machines
might be able to come up with new ideas
to improve themselves or even rewrite
themselves completely another
interesting point to mention in this
book is that there are actually two
different ways to design super
intelligent machines what we are
currently doing with AI is mostly
teaching computers to imitate human
thinking through training large neuron
networks on a lot of data and the
alternative idea would be to get the
computer to actually simulate the human
brain not just imitate it this idea of
whole brain emulation is about building
a computer that can learn like a child
and will eventually get smarter through
interacting with the real world it
sounds kind of like the idea of the
movie Minority reports where we can
precisely predict who we will grow into
and from there we can hopefully even
foresee future cramps the only problem
with that idea is that we know quite
little about how our brains work and how
Consciousness actually works and no one
knows if this would otherwise be a good
idea to emulate human brains without
Consciousness and as Stuart Russell put
it in his book in the area of
Consciousness we really do know nothing
so I'm going to say nothing no one in AI
is working on making machines conscious
nor would anyone know where to start so
that sounds like a long shot but today
with gbd4 and many powerful language
models I feel like we are making some
good progress on the first route that is
to imitate human thinking this book also
goes on to discuss why we need to
prioritize AI safety as it's never a
guarantee that a super intelligent AI
would be benevolent there are actually
many many different ways a super
intelligence AI might not be aligned
with human values the book describes a
bunch of failure modes where things
could go wrong one of them is the
instrumental convergence this basically
means an AI agent with unbounded but
apparently harmless goals can act in
surprisingly harmful ways for example a
harmless AI might decide to turn us all
into paper clips to maximize production
these scenarios are mostly thought
experiments but they are really
fascinating to read and makes a lot of
sense another good point on this book is
that Global collaboration is the key to
make AI safe and beneficial and an arms
race or some secret government programs
will more likely lead to very very bad
outcomes I think this point hits home
even though this book was written more
than 10 years ago it's a good sign we
have so many open- Source large language
models nowadays that anyone can use and
contribute to you can now even download
a whole uncensored large language model
for free from the internet and this
open- source project will hopefully help
startups compete and also Drive the
progress towards safer AI well provided
that everyone has a kind heart and use
these models for good moving on to the
next book which is the coming Wave by
muster sullan he's also the co-founder
of Google deep mind he thinks that we
are approaching a threshold in a human
history where everything is about to
change and none of us are prepared and
this book is one of the newest books on
AI that also covers recent breakthroughs
like uh Robotics and large language
models the book is divided into four
parts the first two parts talk about the
endless acceleration of Technology
throughout human history the idea of
This Book Is that technology and
inventions come and go like waves and
shaping the world we live in from the
invention of the printing press
electricity steam engines cars computers
to machine intelligence there are many
Unstoppable in incentives and forces
that push the progress not just
financial and political incentives but
also human ego human curiosity the
desire to win the race help the world or
change the world and whatever it might
be so what's the coming wave this would
include Advanced AI Quantum Computing
and biotechnology the author discussed a
few different features that distinguish
this wave of Technology from the
previous waves in human history one of
the main features is that is happening
at Excel erating Pace it will be general
purpose technology just like electricity
but it will be much more powerful
because it can become autonomous and do
things by itself the next part of this
book describes different states of
failure basically what the consequences
of these technology for the nation
states and democracy if the state is not
able to contain this wave the nation
states would basically collapse reading
this chapter makes me realize how
fragile is the world we live in imagine
how new AI technology makes it possible
to create the next generation of digital
weapons like what we see in Black Mirror
sophisticated cyber attacks or imagine
the world where deep fakes are
everywhere and spreading false
information targeting those who want to
believe it and other Doom scenarios are
biological weapons and lethal autonomous
weapons another effect of this coming
wave is job automation which we'll talk
more in depth about in the next book and
Solomon believes new jobs will surely be
created but they won't come in the
numbers and time scale to truly help
also even if we have new jobs there
might also not enough people with the
right skills to do them many people will
need complete retraining so in the
shortterm many people would potentially
get unemployed in the last part of the
book the author discussed why
containment must be possible because
well our lives depend on it and he also
talks about the 10 steps to make this
possible that require coordination from
technical research developers businesses
governments and also the general public
I find this book super interesting and
relevant that covers the more immediate
challenges that we face today I'd highly
recommend it if you want to learn more
about this book check out this nice
explainer video on the coming wave
website the next book we're going to
talk about is power and progress our
Thousand Years struggle over technology
and prosperity by Darren as mlu I hope
I'm saying his name correctly and Simon
Johnson this book is recommended to me
by one of you and really appreciate that
this book examines basically the
relationship between technology
prosperity and societal progress the
authors challenge the popular notion
that technological advancement including
AI automatically leads to progress and
shared Prosperity instead they argue
that technological advancement can often
exagerate inequality the benefits get
largely captured by a small group of
individuals and corporations just like
how workers in textile factories during
the Industrial Revolution were forced to
work long hours in horrible conditions
as a small group of rich people captured
most of the wealth similarly in the last
decades computer Technologies made a
small group of entrepreneurs and
businesses become outter Rich while the
poorer part of the population has seen
their real incomes actually decline data
tells us that in the last four decades
the real wages of good producing workers
in the US have declined even though
productivity has grown the book
discussed a lot of potential
explanations for this and how we could
solve it I find the most interesting and
relevant chapters in this book are the
digital damage and artificial struggle
this chapter analyze the impact of
digital and AI automation on jobs and
human workers the authors argue that AI
technology should focus on automating
the routine tasks just like the ATMs
automate bank tellers rather than
automating the creative and the
nonroutine tasks from humans they made a
point that technology should Empower us
to be more productive rather than try to
replace us completely and this is how we
can make technology benefit everyone the
book also Co the term social automation
which I find quite interesting the idea
is that a lot of companies seem to rush
to to replace workers with machineries
and automated AI customer services for
example only to find out that automation
did not work well the machines just do a
poorer jobs than human workers Elon Musk
once tried to automate everything
possible Tesla and he admitted that it
was a mistake it is his mistake and
humans are underrated so the book argues
that humans are good at most of what
they do we develop sophisticated
communication problem solving and
creativity skills over thousands of
years so let's just let humans do their
things and machines do their things or
put in other words this is a case
against building artificial general
intelligence that big tches today are
after although I'm not sure if I would
agree with this point I can really
relate to it recently my colleagues and
I at work have been working on some gen
projects to help companies automate
their contact center and so far I have
to admit we have quite limited success
the language models hallucinate often
and very unreliable and so it's hard to
bring this into production and this got
me thinking are we rushing it just for
the sake of Technology maybe humans are
just better at what they do towards the
end of the book the authors offer a
range of recommendation for policies to
help redirect technology to a better
future for all of us so overall this is
a very thought-provoking book and I'd
highly recommend this book to those of
you who enjoy more critical discussion
on on AI and also if you are into
economics and politics and also if
you're working in law making
organizations okay the next book is
human compatible Ai and the problem of
control by Stuart Russell you may
already recognize him from his name and
also from his face here that he is also
the co-author of the textbook about
artificial intelligence which we'll talk
about towards the end of the video
despite the serious sounding title this
book actually is a very fun read it
talks about how how to design
intelligent machines that obviously can
help us solve difficult problems in the
world while at the same time ensuring
that they never behave in harmful ways
to humans the first part of the book
talks about AI in general different ways
AI can be misused and why we should take
it very seriously to build super
intelligent AI That's aligned with human
goals he said success would be the
biggest event in human history and
perhaps the last event in human history
he also briefly offers answer to the
question of when we will solve human
level AI Russell believes that with the
technology we have today we still have a
long way to go and he believes that deep
learning the model behind large AI
models today Falls far short of what is
needed and so deep learning is probably
not going to directly lead to human
level AI he also thinks several major
breakthroughs are needed for us to solve
human level AI one of the most important
missing pieces of the puzzle is to make
computer understand the hierarchy of
abstract actions the notion of time and
space which is needed to construct
complex plans and also build its own
models of the world an example he gives
is that it's easy to train a robot to
stand up using reinforcement learning
but the real challenge is to make the
robot discover by itself that standing
up is a thing in the second part of the
book Stuart Russell dieses more into why
he thinks that the standard approach to
building AI systems nowadays is
fundamentally flawed according to him
We're essentially Building Systems that
are basically optimization machines that
try to optimize on certain objective
that we feed into them they are
completely indifferent to human values
and this could lead to catastrophic
outcomes imagine that we tell an AI
system to come up with a cure for cancer
as soon as possible while this sounds to
be an innocent and good objective the AI
might decide to come come up with a
poison to kill everyone so no more
people would die from cancer or maybe
would decide to inject a lot of people
with cancer so that it can carry
experiments at scale and see what works
so then it'll be a little bit too late
for us to say oh I forgot to mention a
very important thing that people don't
like to be killed so this book argues
that the world is so complex and it's
really difficult to come up with a good
objective for machine that takes into
account all kinds of possible loopholes
we kind of need to teach the machine do
what I mean not just what I say so to
solve this problem Russell proposes a
new approach the idea of beneficial
machines he thinks we should design AI
systems that do their best to realize
human values and never do harms never do
harms no matter how intelligent they are
so to make this possible Russell
proposes three principles kind reminds
me of the three principles by Asimo for
robots so the first principle is that
the machine are purely artistic they
don't care about its own well-being or
even its own existence the second
principle is that the machines are
humble and don't assume it knows
everything perfectly including what
objective it should have and the third
principle is that the machines Lear to
observe and predict human preferences
for example it should know most humans
prefer to live and not to die and the
Machine should be able to recognize
human's preference even when our actions
are not perfectly rational and the book
goes on to prove that these principles
should work and this can be
mathematically guaranteed well this
seems to be a very good plan if there's
only one human on earth but there are
billions of unique humans and our
preferences could completely Collide so
there's a whole chapter about the
complications to this whole plan which
is humans ourselves so overall this book
is a fun small but also very nuanced
books you'll find so many original ideas
and arguments in here I find it a very
important read and so highly recommend
it all right the next book on the list
is the alignment problem how can AI Lear
human values by Brian christen this book
tackles the issue of making AI systems
that are aligned with human values and
intentions this book basically walk you
through a tour since the beginning of
deep learning and neuron networks and
talk about all the ways that AI goes
wrong and how people have been trying to
fix it I think this book will be
particularly interesting and helpful if
you're already somewhat familiar with
some machine learning and data science
you come across in this book a lot of
data science terms like training data gr
and desent algorithm word embeddings and
a lot of other jargons the first part of
the book talks about bias fairness and
transparency of machine learning models
you get to know almost the entire
history of large neuron networks and all
the names who have contributed to the
progress in the last decades this
chapter also talks about a bunch of
Mystics and all kinds of incident where
machine learning went wrong for example
in 2015 Google photos mistakenly
classified black people as gorillas
Google realized this is totally not okay
and decide to remove this label entirely
it's so embarrassing that 3 years later
until 2018 Google photos still refuse to
tag anything as gorillas including real
gorillas there are more examples with
more serious consequences like M bias in
healthcare or Justice systems I really
enjoy the discussion about what actually
caused these issues and what people have
done to fix them also how to remove bias
from machine learning models when the
world itself is biased is a reality that
more men are doctors and all Asians are
good at math or how can we even Define
fairness while Frankly Speaking life is
in many ways not fair it's really
captivating because these are all real
stories and not just thought experiments
and they could impact the lives of
billions of people the second part of
the book is dedicated to reinforcement
loan learning reinforcement learning
which is in simple words is to train
machines to imitate our behaviors this
is also the main idea behind
self-driving cars we basically try to
train the machine okay watch How I drive
and do it like this we've definitely
seen a lot of success with this but
there are still some limitations to this
so the book further discussed other
methods like inverse reinforcement
learning and reinforcement learning with
human feedback which is also used by
open AI to train their language models
in the last chapter Christian delves
into how AI should deal with uncertainty
so overall this book is a master read
for anyone interested in the ethical
implications of AI and also all the
challenges in building a fair machine
Learning System and finally it will be a
mistake if we don't mention this huge
textbook artificial intelligence a
modern approach by Peter novic and
Stuart Russell it's a very comprehensive
textbook that covers all the foundation
of an AI agent from such problem
knowledge representation planning and so
on we also have a chapter on machine
learning and a separate chapter for
natural language processing and computer
vision it's the stable for anyone
studying computer science and AI it has
detailed overview of all the AI concept
you might be thinking it's a textbook so
it's meant for people who are students
or researchers or so but it's actually a
very accessible and engaging book The
only thing is that you do need some
basic math understanding and be familiar
with mathematical notations I wish I had
more chances to dive into more details
of many chapters in this book if you're
learning the technical aspects of AI is
really a great resource and I'd highly
recommend getting this book sooner or
later so it's a longer video than usual
and thank you for sticking around I hope
I did Justice to these really amazing
books with this video these books really
give me a more grounded view of AI
development is really refreshing and for
me I have much less angst and whenever I
see a headline on the news saying we
have AGI in 2024 I'm like probably not
but things will surely get interesting
and if you're new to the channel be sure
to subscribe like and check out other
videos or whatever thank you for
watching see you next video
bye-bye
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