A.I. ‐ Humanity's Final Invention?

00:16:43
https://www.youtube.com/watch?v=fa8k8IQ1_X0

Summary

TLDRThis video explores the evolution of intelligence, focusing on humanity's unique development of cognitive abilities and the emergence of artificial intelligence (AI). It chronicles the journey from simple neural structures in early organisms to the rise of complex human intelligence and culture. Key milestones in AI evolution are discussed, highlighting advancements that have led to today's increasingly capable AI systems. The video raises concerns about the potential development of Artificial General Intelligence (AGI), which could operate beyond current AI limitations, posing both opportunities and existential risks for humanity. It emphasizes the profound implications of AGI on society, the economy, and moral considerations, and encourages viewers to learn more about AI in preparation for its inevitable impact.

Takeaways

  • 🧠 Intelligence evolution: From flatworms to mammals.
  • 🚀 Emergence of Homo erectus: First cultural beings.
  • ⚙️ AI development: From basic code to advanced neural networks.
  • 🎲 Chess & Go: Milestones in AI beating humans.
  • 💡 ChatGPT breakthrough: Advancing language processing.
  • 🔍 AGI: The next evolutionary step for AI.
  • 🌍 Potential risks: AGI as a double-edged sword.
  • 🤖 Intelligence explosion:AI improving itself rapidly.
  • ⚖️ Ethical concerns surrounding AGI deployment.
  • 📚 Future preparations: Understanding AI's role in society.

Timeline

  • 00:00:00 - 00:05:00

    The evolution of intelligence has shaped human dominance on Earth. Beginning with simple forms of intelligence in flatworms, species evolved complex brains over millions of years. Hominins marked a pivotal change with the development of general intelligence, leading to significant advancements in technology and culture, especially in agriculture, writing, and science.

  • 00:05:00 - 00:10:00

    Artificial intelligence (AI) emerged from simple programs to sophisticated systems that outperform humans in narrow tasks. The introduction of self-learning machines and neural networks catalyzed significant advancements in AI's capabilities, culminating in chatbots like ChatGPT, which can process language with remarkable efficiency. The current landscape shows AI transforming various industries, but the concern grows about the implications of widespread adoption and the potential for an AI-powered economy.

  • 00:10:00 - 00:16:43

    Looking ahead, the concept of Artificial General Intelligence (AGI) poses extraordinary possibilities and threats. If AGI can master any intellectual task at human levels or beyond, it could reshape civilization significantly. However, with the potential for an intelligence explosion, uncontrollable superintelligent entities could emerge, posing existential risks. This speculative future leads to questions about the fate of humanity and the ethical implications of creating increasingly intelligent systems.

Mind Map

Video Q&A

  • What is artificial superintelligence?

    It refers to a level of intelligence that surpasses that of the brightest human minds, enabling machines to perform any intellectual task better than humans.

  • How did human intelligence evolve?

    Human intelligence evolved from early hominins with simpler brains to complex thinkers who developed culture, technology, and advanced problem-solving skills.

  • What advancements led to modern AI?

    Advancements in computer speed, widespread programming, and significant research breakthroughs in machine learning catalyzed the rise of modern AI.

  • What is AGI?

    Artificial General Intelligence (AGI) is the next step in AI development, where machines could learn, reason, and apply knowledge across a wide range of tasks, similar to human intelligence.

  • What are the risks of AGI?

    AGI could lead to disruptions in society and the economy, pose ethical dilemmas, and potentially threaten humanity if not managed properly.

  • What is an intelligence explosion?

    An intelligence explosion is a hypothetical scenario where an AGI could rapidly improve its own intelligence, leading to superintelligent entities that outpace human capabilities.

  • What role does AI play in modern society?

    AI is transforming various sectors, including healthcare, marketing, and customer service, by improving efficiency and task performance.

  • How can individuals prepare for an AI-driven future?

    Learning about AI and its implications through platforms like Brilliant can equip individuals with the knowledge and skills necessary to navigate the AI landscape.

  • What is the significance of AGI in human history?

    AGI could mark a turning point in human history, comparable to previous revolutionary technologies like fire and electricity.

  • What are the potential benefits of AGI?

    AGI has the potential to solve significant global challenges, including healthcare advancements, energy solutions, and addressing climate change.

View more video summaries

Get instant access to free YouTube video summaries powered by AI!
Subtitles
en
Auto Scroll:
  • 00:00:00
    humans rule Earth without competition
  • 00:00:03
    but we're about to create something that
  • 00:00:05
    may change that our last invention the
  • 00:00:08
    most powerful tool weapon or maybe even
  • 00:00:10
    entity artificial super
  • 00:00:13
    intelligence this sounds like science
  • 00:00:16
    fiction so let's start at the beginning
  • 00:00:19
    intelligence is the ability to learn
  • 00:00:22
    reason acquire Knowledge and Skills and
  • 00:00:24
    use them to solve problems intelligence
  • 00:00:27
    is power and we're the species that
  • 00:00:29
    exploited it the most so much so that
  • 00:00:32
    Humanity broke the game of Nature and
  • 00:00:35
    took control but the journey there
  • 00:00:37
    wasn't straightforward for most animals
  • 00:00:40
    intelligence costs too much energy to be
  • 00:00:42
    worth it still if we track intelligence
  • 00:00:45
    in the tree of species over time we can
  • 00:00:47
    see lots of diverse forms of
  • 00:00:49
    intelligence emerge the earliest brains
  • 00:00:52
    were in flatworms 500 million years ago
  • 00:00:55
    just a tiny cluster of neurons to handle
  • 00:00:57
    basic body functions it took hundreds of
  • 00:01:00
    millions of years for species to
  • 00:01:01
    diversify and become more complex life
  • 00:01:05
    conquered New environments gained new
  • 00:01:07
    senses and had to contend with Fierce
  • 00:01:09
    competition over resources but in nature
  • 00:01:12
    all that matters is survival and brains
  • 00:01:15
    are expensive so for almost all animals
  • 00:01:17
    a narrow intelligence fit for a narrow
  • 00:01:19
    range of tasks was enough in some
  • 00:01:22
    environments animals like birds
  • 00:01:24
    octopuses and mammals evolved more
  • 00:01:26
    complex neural structures for them it
  • 00:01:29
    paid off to have more energy consuming
  • 00:01:31
    skills like Advanced navigation and
  • 00:01:33
    communication until 7 billion years ago
  • 00:01:36
    the hominins emerged we don't know why
  • 00:01:39
    but their brains grew faster than their
  • 00:01:41
    relatives something was different about
  • 00:01:43
    their intelligence very slowly it turned
  • 00:01:46
    from narrow to General from a
  • 00:01:48
    screwdriver to a multi-tool able to
  • 00:01:51
    think about diverse Problems 2 million
  • 00:01:55
    years ago homo erector saw the world
  • 00:01:57
    differently from anyone before as
  • 00:01:59
    something be understood and transformed
  • 00:02:02
    they controlled fire invented tools and
  • 00:02:05
    created the first culture we probably
  • 00:02:08
    emerged from them around 250,000 years
  • 00:02:11
    ago with an even larger and more complex
  • 00:02:14
    brain it enabled us to work together in
  • 00:02:16
    large groups and to communicate complex
  • 00:02:19
    thoughts we used our intelligence to
  • 00:02:21
    improve our lives to ask how things work
  • 00:02:24
    and why things are the way they are with
  • 00:02:26
    each Discovery we asked more questions
  • 00:02:29
    and pushed forward Ward preserving what
  • 00:02:31
    we learned outpacing what evolution
  • 00:02:33
    could do with genes knowledge Builds on
  • 00:02:36
    knowledge progress was slow at first and
  • 00:02:39
    then sped up exponentially agriculture
  • 00:02:42
    writing medicine astronomy or philosophy
  • 00:02:44
    exploded into the world 200 years ago
  • 00:02:47
    science took off and made us even better
  • 00:02:49
    at learning about the world and speeding
  • 00:02:51
    up progress 35 years ago the internet
  • 00:02:54
    age began today we live in a world made
  • 00:02:57
    to suit our needs created by us us for
  • 00:03:00
    us this is incredibly new we forget how
  • 00:03:04
    hard it was to get here how enormous the
  • 00:03:07
    steps on the intelligence ladder were
  • 00:03:09
    and how long it took to climb them but
  • 00:03:11
    once we did we became the most powerful
  • 00:03:14
    animal in the world in a
  • 00:03:16
    heartbeat but we may be in the process
  • 00:03:18
    of changing this we're building machines
  • 00:03:21
    that could be better at the very thing
  • 00:03:23
    that gave us the power to conquer the
  • 00:03:25
    planet Humanity's final invention
  • 00:03:30
    artificial
  • 00:03:31
    intelligence artificial intelligence or
  • 00:03:34
    AI is software that performs mental
  • 00:03:36
    tasks with a computer code that uses
  • 00:03:38
    silicon instead of neurons to solve
  • 00:03:41
    problems in the beginning AI was very
  • 00:03:43
    simple lines of code on paper mere
  • 00:03:46
    proofs of concept to demonstrate how
  • 00:03:48
    machines could perform mental tasks only
  • 00:03:51
    in the 1960s did we start seeing the
  • 00:03:53
    first examples of what we would
  • 00:03:55
    recognize as AI a chatbot in 1964
  • 00:03:59
    approach program to sort through
  • 00:04:00
    molecules in
  • 00:04:02
    1965 slow specialized systems requiring
  • 00:04:06
    experts to use them their intelligence
  • 00:04:08
    was extremely narrow built for a single
  • 00:04:11
    task inside a controlled environment the
  • 00:04:13
    equivalent of flat worms 500 million
  • 00:04:16
    years ago doing the minimum amount of
  • 00:04:18
    mental work progress in AI research
  • 00:04:21
    paused several times when researchers
  • 00:04:23
    lost hope in the technology but just
  • 00:04:25
    like changing environments create new
  • 00:04:27
    niches for Life the world around AI
  • 00:04:30
    changed between 1950 and 2000 computers
  • 00:04:33
    got a billion times faster while
  • 00:04:35
    programming became easier and widespread
  • 00:04:38
    in 1972 AI could navigate a room in 1989
  • 00:04:42
    it could read handwritten numbers but it
  • 00:04:45
    remained a fancy tool no match for
  • 00:04:47
    humans until in 1997 an AI shocked the
  • 00:04:51
    World by beating the world champion in
  • 00:04:53
    chess proving that we could build
  • 00:04:55
    machines that could surpass us but we
  • 00:04:57
    calmed ourselves because a chest spot is
  • 00:05:00
    quite stupid not a flatworm but maybe a
  • 00:05:03
    bee only able to perform a specialized
  • 00:05:06
    narrow task but within this narrow task
  • 00:05:09
    it's so good that no human will ever
  • 00:05:11
    again beat AI a chess as computers
  • 00:05:15
    continued to improve AI became a
  • 00:05:17
    powerful tool for more and more tasks in
  • 00:05:20
    2004 it drove a robot on Mars in 2011 it
  • 00:05:23
    began recommending YouTube videos to you
  • 00:05:26
    but this was only possible because
  • 00:05:28
    humans broke down problems into easyto
  • 00:05:30
    digest chunks that computers could solve
  • 00:05:32
    quickly until we taught AIS to teach
  • 00:05:37
    themselves rise of the self-learning
  • 00:05:41
    Machines this is not a technical video
  • 00:05:43
    so we're massively oversimplifying here
  • 00:05:46
    in a nutshell the sheer power of
  • 00:05:47
    supercomputers was combined with the
  • 00:05:49
    almost endless data collected in the
  • 00:05:51
    information age to make a new generation
  • 00:05:54
    of ai ai experts began drastically
  • 00:05:57
    improving forms of AI software called
  • 00:05:59
    neur neural networks enormously huge
  • 00:06:01
    networks of artificial neurons that
  • 00:06:03
    start out being bad at their tasks they
  • 00:06:06
    then used machine learning which is an
  • 00:06:08
    umbrella term for many different
  • 00:06:10
    training techniques and environments
  • 00:06:11
    that allows algorithms to write their
  • 00:06:13
    own code and improve themselves the
  • 00:06:16
    scary thing is that we don't exactly
  • 00:06:17
    know how they do it and what happens
  • 00:06:20
    inside them just that it works and that
  • 00:06:23
    what comes out the other end is a new
  • 00:06:25
    type of AI a capable black box of code
  • 00:06:29
    the these new AIS could Master complex
  • 00:06:31
    skills extremely quickly with much less
  • 00:06:34
    human help they were still narrow
  • 00:06:36
    intelligences but a huge step up in 2014
  • 00:06:40
    Facebook AI could identify faces with
  • 00:06:42
    97% accuracy in 2016 an AI beat the best
  • 00:06:47
    humans in the incredibly complex game of
  • 00:06:49
    Go in 2018 a self-learning AI learned
  • 00:06:53
    chess in 4 hours just by playing against
  • 00:06:56
    itself and then defeated the best
  • 00:06:58
    specialized chess bot since then machine
  • 00:07:01
    learning has been applied to reading
  • 00:07:03
    image processing solving tests and much
  • 00:07:06
    more many of these AIS are already
  • 00:07:08
    better than humans for whatever narrow
  • 00:07:10
    task they were trained but they still
  • 00:07:12
    remained a simple tool AI still didn't
  • 00:07:15
    seem that big of a deal for most people
  • 00:07:17
    and then came the chatbot chat GPT the
  • 00:07:21
    work that went into it is massive it
  • 00:07:23
    trained on nearly everything written on
  • 00:07:24
    the internet to learn how to handle
  • 00:07:26
    language which it now does better than
  • 00:07:28
    most people it can summarize translate
  • 00:07:31
    and help with some math problems it's
  • 00:07:34
    incredibly more broad than any other
  • 00:07:36
    system just a few years ago not crushing
  • 00:07:39
    any single Benchmark but order of them
  • 00:07:41
    at once many large tech companies are
  • 00:07:44
    spending billions to build powerful
  • 00:07:46
    competitors AI is already transforming
  • 00:07:49
    customer service banking Healthcare
  • 00:07:51
    marketing copyrighting creative spaces
  • 00:07:54
    and more AI generated content has
  • 00:07:57
    already taken hold of social media
  • 00:07:59
    YouTube and news websites elections are
  • 00:08:02
    expected to be inundated by Propaganda
  • 00:08:04
    and
  • 00:08:05
    misinformation no one is sure how much
  • 00:08:07
    good or harm can come from adopting AI
  • 00:08:09
    everywhere change is scary there will be
  • 00:08:12
    winners and losers one of the biggest
  • 00:08:15
    questions governments and corporations
  • 00:08:17
    have now is how to manage the transition
  • 00:08:19
    to an AI boosted economy all these
  • 00:08:22
    potential gains or risks are just the
  • 00:08:24
    result of today's AI chat gpt's
  • 00:08:27
    intelligence is a major step up but it
  • 00:08:30
    remains narrow one it can write a great
  • 00:08:32
    essay in seconds it doesn't understand
  • 00:08:35
    what it's writing but what if the AIS
  • 00:08:38
    stopped being
  • 00:08:39
    narrow General AI what makes humans
  • 00:08:43
    different from current AI is our general
  • 00:08:46
    intelligence humans can technically
  • 00:08:48
    absorb any piece of knowledge and start
  • 00:08:50
    working on any problem we're great at
  • 00:08:52
    many very different skills and tasks
  • 00:08:54
    from playing chess to writing or solving
  • 00:08:56
    science puzzles not equally of course
  • 00:08:59
    some of us are experts in some fields
  • 00:09:01
    and beginners in others but we can
  • 00:09:03
    technically do all of them in the past
  • 00:09:06
    AI was narrow and able to become good at
  • 00:09:08
    one skill but was rather bad in all the
  • 00:09:10
    others simply by building faster
  • 00:09:13
    computers and pouring more money into AI
  • 00:09:15
    training will get us new more powerful
  • 00:09:18
    generations of AI but what is the next
  • 00:09:21
    step for AI is to become a general
  • 00:09:24
    intelligence like us an
  • 00:09:26
    AGI if the AI improvement process
  • 00:09:29
    continues as it has been it's not
  • 00:09:31
    unlikely that AGI could be better in
  • 00:09:33
    most or even all skills that humans can
  • 00:09:36
    do we don't know how to build AGI how it
  • 00:09:39
    will work or what it will be able to do
  • 00:09:42
    since narrow AIS today are capable of
  • 00:09:45
    mastering one mental task quickly HGI
  • 00:09:47
    might be able to do the same with all
  • 00:09:49
    mental tasks so even if it starts out
  • 00:09:52
    stupid and HGI might be able to become
  • 00:09:55
    as smart and capable as a human while
  • 00:09:58
    this sounds like science sence fiction
  • 00:10:00
    most AI researchers think this will
  • 00:10:02
    happen sometime this Century maybe
  • 00:10:04
    already in a few years humanity is not
  • 00:10:07
    ready for what will happen next not
  • 00:10:09
    socially not economically not morally
  • 00:10:13
    earlier we defined intelligence as the
  • 00:10:15
    ability to learn reason acquire
  • 00:10:17
    Knowledge and Skills and use them to
  • 00:10:19
    solve problems all things humans excel
  • 00:10:22
    at an AGI as intelligent as even an
  • 00:10:25
    average human would already disrupt
  • 00:10:27
    modern civilization because they're not
  • 00:10:29
    Bound by the same limitations as we are
  • 00:10:32
    today's AIS like chat gbt already think
  • 00:10:35
    and solve the tasks they were made for
  • 00:10:37
    at least 10 times faster than even very
  • 00:10:39
    skilled humans maybe AGI will be slower
  • 00:10:43
    but it may also be faster maybe much
  • 00:10:45
    faster and since HGI are software you
  • 00:10:49
    could copy them endlessly as long as you
  • 00:10:51
    have enough storage and run them in
  • 00:10:54
    parallel there are 8 million scientists
  • 00:10:56
    in the world now imagine an AI copied a
  • 00:10:59
    million times and put to work imagine 1
  • 00:11:02
    million scientists working 24/7 thinking
  • 00:11:05
    10 times faster than humans without
  • 00:11:07
    being distracted only focused on the
  • 00:11:10
    task they've been given what if suddenly
  • 00:11:13
    HGI could do all intelligence-based jobs
  • 00:11:16
    in the world from interpreting law to
  • 00:11:18
    coding to creating animated YouTube
  • 00:11:20
    videos better faster and much cheaper
  • 00:11:23
    than humans would whoever controls this
  • 00:11:26
    AGI suddenly own the economy
  • 00:11:29
    and thinking bigger human progress is
  • 00:11:32
    our intelligence applied to problems so
  • 00:11:35
    what could a million agis
  • 00:11:37
    achieve solve fundamental questions of
  • 00:11:40
    science like dark energy invent new
  • 00:11:43
    technology that gives us Limitless
  • 00:11:44
    energy fix climate change cure aging and
  • 00:11:48
    cancer but then again sadly humans apply
  • 00:11:52
    their intelligence not just for the
  • 00:11:53
    benefit of all what if the agis are
  • 00:11:56
    tasked to guide drones or pull the
  • 00:11:58
    triggers in war or to engineer a virus
  • 00:12:01
    that only kills people with green eyes
  • 00:12:04
    or to create the most profitable social
  • 00:12:06
    media so addictive that people starve in
  • 00:12:08
    front of their screens the creation of
  • 00:12:11
    AGI could reasonably be as big of an
  • 00:12:13
    event as taming fire or electricity and
  • 00:12:16
    give whoever invents it equally as much
  • 00:12:19
    power but now let's go one step further
  • 00:12:23
    what if the potential of AGI doesn't
  • 00:12:25
    stop here intelligence explosion
  • 00:12:29
    intelligence and knowledge build and
  • 00:12:31
    accelerate each other but humans are
  • 00:12:33
    limited by biology and evolution once we
  • 00:12:37
    evolved the right Hardware our software
  • 00:12:39
    outpaced evolution by orders of
  • 00:12:41
    magnitudes and within a heartbeat we
  • 00:12:43
    ruled this planet but our software
  • 00:12:46
    basically hasn't changed much since then
  • 00:12:48
    which is why we have obesity and destroy
  • 00:12:50
    the climate for short-term gains since
  • 00:12:53
    AGI is software on a computer once it's
  • 00:12:56
    smart enough to do AI research the rate
  • 00:12:58
    of AI progress should speed up a lot and
  • 00:13:01
    that results in better AI That's better
  • 00:13:04
    at AI research without much human
  • 00:13:06
    involvement it may even be possible that
  • 00:13:08
    AI could learn how to directly improve
  • 00:13:10
    itself in which case some experts fear
  • 00:13:12
    this feedback loop could be incredibly
  • 00:13:15
    fast maybe just months or years after
  • 00:13:18
    the first self-improving hii is switched
  • 00:13:20
    on maybe it would actually take decades
  • 00:13:23
    we simply don't know this is all
  • 00:13:25
    speculative but such an intelligence
  • 00:13:27
    explosion might lead to a true
  • 00:13:29
    superintelligent entity we don't know
  • 00:13:32
    what such a being would look like what
  • 00:13:33
    its motives or goals would be what would
  • 00:13:36
    go on in its inner world we could be as
  • 00:13:39
    laughably stupid to superintelligence as
  • 00:13:42
    squirrels are to us unable to even
  • 00:13:45
    comprehend its way of
  • 00:13:46
    thinking this hypothetical scenario
  • 00:13:49
    keeps many people up at night humanity
  • 00:13:52
    is the only example we have of an animal
  • 00:13:55
    becoming smarter than all others and we
  • 00:13:57
    have not been kind to what we perceive
  • 00:14:00
    as less intelligent beings AGI might be
  • 00:14:03
    the last invention of humanity it's
  • 00:14:06
    possible that it could become the most
  • 00:14:08
    intelligent and therefore most powerful
  • 00:14:10
    being on earth a God in a box that could
  • 00:14:13
    exercise its power to bring unimaginable
  • 00:14:16
    wealth and happiness to humans while
  • 00:14:18
    securing our future or it could subvert
  • 00:14:21
    civilization and bring about our end
  • 00:14:24
    with Humanity unable to come up with a
  • 00:14:26
    way to stop it we'll look at some of
  • 00:14:28
    these potential Futures in more videos
  • 00:14:30
    but for now let's wrap up the only thing
  • 00:14:33
    we know for sure is that today right now
  • 00:14:36
    many of the largest and richest
  • 00:14:38
    companies in the world are racing to
  • 00:14:40
    create ever more powerful AIS whatever
  • 00:14:43
    our future is we are running towards
  • 00:14:48
    it who knows how long we have until we
  • 00:14:51
    must confront our AI future luckily you
  • 00:14:54
    still have plenty of time to prepare for
  • 00:14:56
    it if you're learning on Brilliance that
  • 00:14:58
    is
  • 00:14:59
    brilliant will make you a better thinker
  • 00:15:01
    and Problem Solver in just minutes a day
  • 00:15:04
    with thousands of bite-sized Hands-On
  • 00:15:06
    lessons on just about anything you may
  • 00:15:08
    be curious about including AI their
  • 00:15:11
    latest course how llms work takes you
  • 00:15:14
    under the hood of real language models
  • 00:15:17
    it demystifies Technologies like chat
  • 00:15:19
    gbt with interactive lessons on
  • 00:15:21
    everything from how models build
  • 00:15:23
    vocabulary to how they choose their next
  • 00:15:25
    word you'll learn how to tune llms to
  • 00:15:27
    produce output with exactly your desired
  • 00:15:29
    tonality whether it's poetry or a cover
  • 00:15:32
    letter and you'll understand why
  • 00:15:34
    training is really everything by
  • 00:15:36
    comparing models trained on Taylor Swift
  • 00:15:38
    lyrics and the legal speech of big Tech
  • 00:15:40
    terms and conditions it's an immersive
  • 00:15:42
    AI Workshop allowing you to experience
  • 00:15:45
    and harness the mechanics of today's
  • 00:15:46
    most advanced tool we've also partnered
  • 00:15:49
    with brilliant to create a series of
  • 00:15:51
    lessons to take your scientific
  • 00:15:52
    knowledge to the next level these
  • 00:15:54
    lessons let you further explore the
  • 00:15:56
    topics in our most popular videos from
  • 00:15:58
    rapes and mum metabolism to climate
  • 00:16:00
    science and supern noi each lesson on
  • 00:16:03
    brilliant is interactive like a
  • 00:16:04
    one-on-one version of a cazar video and
  • 00:16:07
    you can get started Whenever Wherever
  • 00:16:10
    right from whatever device you'd like to
  • 00:16:12
    get handson with ktz kazak lessons and
  • 00:16:14
    explore everything brilliant has to
  • 00:16:15
    offer from Ai and programming to maths
  • 00:16:18
    science and Beyond start your free
  • 00:16:20
    30-day trial by signing up at
  • 00:16:22
    brilliant.org
  • 00:16:23
    nutshell there's even an extra perk for
  • 00:16:25
    courts gazar viewers anyone signing up
  • 00:16:27
    through our link will get get 20% off an
  • 00:16:30
    annual membership once their trial ends
  • 00:16:33
    [Music]
Tags
  • intelligence
  • artificial intelligence
  • AGI
  • evolution
  • risks
  • superintelligence
  • machine learning
  • technology
  • AI impact
  • human evolution