The Big History of Modern Science | Hannu Rajaniemi | TEDxDanubia

00:17:42
https://www.youtube.com/watch?v=ZcWsjlGPPFQ

Zusammenfassung

TLDRThe speaker reflects on humanity's understanding of the complexities in the universe, exploring the journey of how we comprehend both the macroscopic world of galaxies and the microscopic world of atoms. Starting from the stars and the development of cosmology to the atomic structure explored by pioneers such as Marie Curie and Einstein, the narrative highlights significant scientific advancements. The complexity we face in modern systems, such as social, economic, and environmental networks, raises concerns about fragility and cascading failures. However, the speaker argues that the same scientific understanding and technological advancements can lead to innovative solutions to tackle large-scale global challenges using collaboration and new approaches. By analogizing this complexity to the process of growing up, he emphasizes the need to embrace complexity while striving for simplicity where possible, reminding us that navigating through uncertainties can lead to growth and discovery.

Mitbringsel

  • 🌌 We understand the universe from small atoms to large galaxies.
  • 🔭 Advances in telescopes increased our knowledge of stars immensely.
  • 🧬 Atoms contain more energy than we realized, according to Einstein's equation.
  • ⚛️ Discoveries in atomic structure have led to practical applications like cancer treatments.
  • 📊 Computation reveals the complexity of biological systems like never before.
  • 🌐 The internet's growth demonstrates the interconnected complexity of modern society.
  • 💡 Complexity can lead to fragility in systems, as seen in financial crashes.
  • 🌍 Addressing problems like climate change requires understanding multiple complex systems.
  • 🤝 Collaborative approaches may help tackle complex global challenges effectively.
  • 🎓 Embrace complexity as part of growth and discovery in our lives.

Zeitleiste

  • 00:00:00 - 00:05:00

    The universe is made of incredibly small and large components, yet it's the in-between world where we face challenges. Although our understanding of the vastness of the universe has significantly increased, the complexities in the world we inhabit are becoming more difficult to grasp. Our present challenges require addressing this growing complexity.

  • 00:05:00 - 00:10:00

    Through historic discoveries in astronomy and physics, such as Hubble's findings on galaxies and Einstein's theory of relativity, we've made great strides in understanding the universe's expansion from the Big Bang. We learned about the nucleus of atoms, unlocking immense energy through nuclear reactions, catalyzed by visionary scientists like Marie Curie and Leo Szilard who applied these principles to both power generation and weaponry.

  • 00:10:00 - 00:17:42

    As technology surged, notably through inventions like the transistor and advancements in computing, we can analyze and understand biological complexity better. However, as systems become increasingly interlinked, their fragility poses significant risks, as seen in financial crises and pandemics. Future solutions may lie in decentralized, resilient systems and collective problem-solving techniques, fostering innovation even in the face of overwhelming complexity.

Mind Map

Video-Fragen und Antworten

  • What is the main topic of the talk?

    The talk discusses the understanding of complex systems in the universe from the big (cosmology) to the small (atomic physics) and the implications of this complexity in modern society.

  • Who discovered the structure of the atom?

    Ernest Rutherford discovered the nucleus of the atom in 1911.

  • What did Einstein’s equation E=mc² imply?

    It implies that a small amount of mass can be converted into a large amount of energy.

  • What does the term 'Big Bang' refer to?

    The 'Big Bang' refers to the moment when the universe started expanding from a very small size, smaller than an atom.

  • How many transistors exist today compared to the past?

    Today there are approximately 3 x 10^21 transistors, a significant increase from just one transistor in 1947.

  • What role do computers play in understanding complexity?

    Computers help analyze and reveal complexities in biological and physical systems, aiding scientific discoveries.

  • What is a potential consequence of increasing complexity according to the speaker?

    Increasing complexity can lead to fragility in systems, where small issues can trigger significant failures.

  • How can we tackle complex challenges like cancer and climate change?

    By embracing complexity, utilizing crowd-sourced knowledge, and fostering collaboration across disciplines.

  • What analogy does the speaker use to explain complexity in systems?

    The speaker compares the complexity of a single human cell to the Large Hadron Collider.

  • What is the speaker's attitude towards complexity?

    The speaker views complexity as both a challenge and an opportunity, advocating for both embracing it and seeking simplicity where possible.

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Untertitel
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    [Music]
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    [Applause]
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    we are made from very small things and
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    we live in a very very big universe and
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    the small things are so small and the
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    big things are so big that you might
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    think we have no hope of ever
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    understanding them but I'm going to
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    argue that in fact we already understand
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    them quite well it's the world in
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    between the big and the small the world
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    we live in that we don't understand and
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    in fact that world is becoming harder
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    and harder to understand because we keep
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    discovering more complexity and creating
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    more complexity and that's something we
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    have to face if we want to solve our
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    biggest
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    challenges but let's start in the
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    beginning I want to tell you how we came
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    to understand the big that's my
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    background I studied physics and
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    cosmology and it also has to do with
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    where I grew up I grew up in a town
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    called IESA in Finland where you get
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    about 4 hours of daylight uh during the
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    day so when whenever I walked home from
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    school it would be dark and I would look
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    at the
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    stars and it's the stars that really
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    tell you how big the universe is stars
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    are very big as big or bigger as our sun
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    only very very far away and there are so
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    many of them even with the naked eye you
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    can see 10,000 stars now 10,000 is a big
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    number but it's still a comprehensible
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    number if each star was a grain of sand
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    10,000 would be about three teaspoons of
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    sand so that's not so bad but of course
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    we don't look at the stars with the
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    naked eye anymore we use telescopes and
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    already 100 years ago around 1900
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    astronomers had good telescopes and they
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    could see over a million stars now a
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    million stars is a lot but it's still a
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    comprehensible number it's about a
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    bucket of
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    sand and in fact uh those astronomers
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    were pretty sure that that was it that
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    there were about a million stars in the
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    Universe um except for these funny
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    smudges they kept seeing in their
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    photographs and they called them spiral
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    nebula and nobody knew what those were
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    and it took a computer to figure out
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    what those actually were a human
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    computer called Henry at the lit because
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    back then a computer was what you called
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    a woman doing calculations for
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    scientists now lit was paid $10 a week
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    to analyze photo phaps of stars and she
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    was deaf but she had a very very good
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    eye and she spotted a pattern in the
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    brightness of stars that gave her a new
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    way to actually figure out how far away
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    stars were and she died of cancer very
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    young but was able to publish her
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    finding uh but uh couldn't see it
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    applied and it was Edwin Hubble who
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    later said that levit should have really
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    won the Nobel Prize who used her method
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    to look at those spiral nebuli and what
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    he found was that they were much much
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    much further away millions of times
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    further away than any anyone had ever
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    thought in fact they were galaxies
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    galaxies just like our Milk Way systems
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    of hundreds of billions of stars and we
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    now know that the visible Universe has
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    hundreds of billions of galaxies so it's
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    not just a bucket of sand it's not a
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    million stars it's 7 * 10 to the power
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    of 22 stars now again if each star was a
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    grain of sand that would be all the sand
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    in all the deserts and beaches and sand
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    boxes on Earth times 10,000 10,000 Wells
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    of sand so in less than 100 years that's
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    how much our understanding of the
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    universe has grown from three teaspoons
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    to 10,000 Wells of
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    sand and actually it's even worse
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    because Hubble showed that the universe
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    is getting bigger and bigger all those
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    galaxies are moving away from each other
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    at tremendous speed so you may wonder
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    how could we ever figure out what was
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    going on and what what what where all
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    those stars came from now fortunately
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    Einstein came along and and Einstein
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    came up with a theory of relativity that
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    says that space is really just distances
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    between points and those distances
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    change depending on what you have
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    between those points he came up with
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    equations that tell us how space itself
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    changes when matter and energy move
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    around in it and these equations work
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    extremely well so well that all the
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    phones uh in your phones use GPS which
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    is based on Einstein's equations and
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    Einstein's equations predicted an
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    expanding unit universe and at first he
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    thought uh he'd made a mistake but then
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    he found out about Hubble's Discovery
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    and we now know that the Universe has
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    been expanding for 13.8 billion years
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    that means it actually started out very
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    very small smaller than an atom and we
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    call the moment the expansion started
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    the Big Bang now we still don't know
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    exactly what happened at the very
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    instant of the Big Bang but thanks to
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    Einstein we do know how the universe got
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    to be so big and we know that little
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    ripples tiny little ripples in that
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    early Universe grew with the universe
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    into seeds that became stars and
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    galaxies so we do know where stars came
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    from now one of Einstein's equations had
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    really big implications not just for big
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    things but also for small things and
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    that's his most famous equations E
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    equals mc^ s what does it mean well e
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    means energy m is mass and C squ is
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    speed of FL squared light travels very
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    very fast so c^ squ is an enormous
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    number almost as big as the number of
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    all the grains of sand in the world and
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    that means that even the tiniest amount
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    of matter even an atom has a tremendous
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    amount of energy so let's talk about
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    atoms and let's talk about small things
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    how small are atoms now if you remember
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    that tremendous number of stars in the
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    universe we have the same number of
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    atoms in just three drops of water so
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    it's quite amazing that we can
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    understand them all and for a long time
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    we thought atoms were the smallest thing
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    there
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    was but in 1898 Mary C
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    discovered an element called radium and
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    radium was constantly radiating so much
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    energy that it couldn't possibly come
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    from reactions between atoms and people
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    got really excited about radium science
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    fiction writer HD Wells thought that it
  • 00:06:13
    could be a source of infinite power for
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    a utopian society some people got maybe
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    a little bit too excited and too carried
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    away and started putting radium in
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    products like chocolate and face cream
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    and and other things something we now
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    know wouldn't wouldn't be a good idea
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    now Mary C uh something a bit better she
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    was able to use radium uh to treat
  • 00:06:33
    cancer so she pioneered radiation
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    therapy but she herself got exposed to
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    so much radiation that she eventually
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    died of anemia and even her cookbook to
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    this day is harmfully
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    radioactive but she lived long enough to
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    see what was really going on with radium
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    and she suspected that there might be
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    something going on inside atoms
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    something that was converting matter
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    into energy like Einstein's equation
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    implied and she was right in 1911 Ernst
  • 00:06:59
    rfo took some radium fired some of
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    radium's radiation at a gold leaf very
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    thin gold leaf and saw something really
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    weird the atoms were behaving like there
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    was something much smaller inside
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    something compared to the size of the
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    atom like a grain of sand in the middle
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    of a football field and he had
  • 00:07:16
    discovered the nucleus the nucleus of an
  • 00:07:18
    atom is made out of particles called
  • 00:07:20
    protons and neutrons orbited by a cloud
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    of electrons and to explain this
  • 00:07:24
    structure of the atom scientists had to
  • 00:07:26
    come up with a new Theory called quantum
  • 00:07:27
    mechanics and quantum mechanics predicts
  • 00:07:29
    that if you split the atom if you split
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    the nucleus some matter will be
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    converted into energy and that's what
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    was going on with radium but ruford
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    himself didn't think that atomic energy
  • 00:07:38
    would be of any practical use he
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    famously said that anyone who looks for
  • 00:07:42
    a s source of power inside an atom is
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    talking absolute
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    moonshine so of course there was a very
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    stubborn Hungarian who decided that it
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    had to be made to
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    work and he was called Leo card and he
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    was born right here in Budapest as a
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    young man he did a lot of work with
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    Einstein and they became close friends
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    what did they work on quantum mechanics
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    thermodynamics theoretical physics and
  • 00:08:04
    they also invented a new type of fridge
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    uh oldfashioned fridges used very
  • 00:08:09
    poisonous gases and a family in Berlin
  • 00:08:12
    died of of fumes coming coming from
  • 00:08:14
    those gases and Einstein got really
  • 00:08:15
    upset about it and he was certain that
  • 00:08:17
    there had be had to be a better way to
  • 00:08:18
    build fridges so he asked seart for help
  • 00:08:20
    to to invent a better one so they did um
  • 00:08:23
    it was a genius design obviously um but
  • 00:08:26
    uh too expensive and and too noisy to be
  • 00:08:28
    actually practical but in the end they
  • 00:08:29
    made some money by selling their patents
  • 00:08:31
    to Electrolux but sard kept inventing
  • 00:08:34
    and his next invention was something
  • 00:08:36
    much much
  • 00:08:37
    bigger in 1933 one morning in London he
  • 00:08:41
    was crossing the street at this spot and
  • 00:08:43
    just the moment when the traffic light
  • 00:08:45
    changed in a Flash he had a really
  • 00:08:47
    beautiful and a really terrible idea and
  • 00:08:50
    he called it the Chain Reaction if you
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    could split just one atom that would
  • 00:08:54
    release neutrons that would split more
  • 00:08:56
    atoms that release more neutrons that
  • 00:08:58
    would split more atoms and so on and so
  • 00:08:59
    on you could make Atomic power work and
  • 00:09:02
    you could also make a really terrible
  • 00:09:05
    weapon and that's exactly what happened
  • 00:09:07
    in Hiroshima and Nagasaki 12 years later
  • 00:09:10
    now sard himself was horrified he spent
  • 00:09:12
    the rest of his life campaigning against
  • 00:09:14
    nuclear weapons and he switched fields
  • 00:09:16
    from physics to biology and the atomic
  • 00:09:18
    bomb is a terrible thing it shows that
  • 00:09:20
    there is a dark side to our
  • 00:09:22
    understanding of the big in the small
  • 00:09:24
    but actually that same understanding
  • 00:09:26
    triggered an even bigger explosion
  • 00:09:28
    that's still going on on
  • 00:09:30
    today and the trigger for that explosion
  • 00:09:33
    was this this is the first transistor
  • 00:09:35
    it's a device about this big it was
  • 00:09:37
    built by a team led by William shley in
  • 00:09:39
    Bell labs in 1947 and what it is is the
  • 00:09:42
    simplest building block of a digital
  • 00:09:44
    computer it can store a zero or a one
  • 00:09:47
    and like the atomic bomb it's based on
  • 00:09:49
    quantum mechanics in fact on equations
  • 00:09:51
    worked out by another Hungarian uh
  • 00:09:53
    called Eugene wigner who was one of zil
  • 00:09:54
    Art's friends as well and wigner showed
  • 00:09:56
    that there are some materials that can
  • 00:09:58
    be made to sometimes conduct electricity
  • 00:10:00
    and sometimes not so that gives you the
  • 00:10:02
    one and zero and one of those materials
  • 00:10:04
    is silicon and silicon is basically sand
  • 00:10:08
    so we make transistors out of sand and
  • 00:10:10
    we are now very very very very very good
  • 00:10:12
    at it here's a modern transistor it's
  • 00:10:15
    about 20 nanometers in size and to give
  • 00:10:17
    you an idea of how small that is all the
  • 00:10:20
    two billion transistors in an iPhone 6
  • 00:10:22
    can be made from just two grains of sand
  • 00:10:26
    so in 1947 there was just one trans
  • 00:10:29
    transistor today there are 3 * 10 to the
  • 00:10:32
    power of 21 transistors that's thousand
  • 00:10:35
    times all the sand grains in the world
  • 00:10:38
    and in just in 10 years there will be
  • 00:10:40
    more transistors than there are stars in
  • 00:10:41
    the known universe so we really have
  • 00:10:44
    started another big bang now think about
  • 00:10:47
    that for a minute that's a number that
  • 00:10:48
    applies not to atoms but machines that
  • 00:10:51
    we have made what does it mean it means
  • 00:10:54
    we can see things that we could never
  • 00:10:56
    see before the Henry at the lits of
  • 00:10:58
    today don't have to do it all by hand
  • 00:11:00
    computers are storing data and analyzing
  • 00:11:01
    it for us and just like telescopes
  • 00:11:04
    revealed a much much much bigger
  • 00:11:05
    Universe computers are revealing a world
  • 00:11:08
    that is much more complex than we
  • 00:11:10
    thought and that world is around us and
  • 00:11:11
    inside us let me give you an example
  • 00:11:14
    this is a human skin cell so it looks
  • 00:11:16
    pretty complicated but thanks to
  • 00:11:17
    computers we can now read the code that
  • 00:11:19
    runs it we can read its DNA and for a
  • 00:11:22
    long time scientists thought that only
  • 00:11:23
    about 2% of that DNA did anything useful
  • 00:11:27
    and the rest was junk but recently we
  • 00:11:29
    got much better at reading DNA and now
  • 00:11:30
    we know that that 98% is actually the
  • 00:11:33
    control system for the cell so in just a
  • 00:11:36
    few years we found out that the cell is
  • 00:11:38
    actually at least 50 times more complex
  • 00:11:40
    than we thought now to give you an idea
  • 00:11:43
    of what how big a leap that is let's
  • 00:11:45
    think about it in terms of computer
  • 00:11:47
    programs a small iPhone app like like
  • 00:11:49
    Candy Crush is about 50,000 lines of
  • 00:11:51
    code so what 50 times more code give you
  • 00:11:54
    it would give you the control system for
  • 00:11:55
    cern's large hadrin collider the most
  • 00:11:58
    complicated science instrument in the
  • 00:11:59
    world so basically we thought a cell was
  • 00:12:02
    like Candy Crush but it turns out to be
  • 00:12:03
    more like the large hatn collider in
  • 00:12:05
    terms of
  • 00:12:06
    complexity so that means it's much
  • 00:12:09
    harder to fix if something goes wrong so
  • 00:12:11
    it's no wonder that we are really far
  • 00:12:14
    still from curing cancer and maybe
  • 00:12:16
    that's because we've been looking at
  • 00:12:17
    that 2% we thought we understood and to
  • 00:12:20
    fix that we really need to tackle the
  • 00:12:21
    cell's full complexity it's not just
  • 00:12:23
    that we're just using transistors to
  • 00:12:25
    discover complexity we're using them to
  • 00:12:26
    build complexity we're putting them in
  • 00:12:28
    every single device we build and connec
  • 00:12:30
    them all together now look at the
  • 00:12:32
    internet in 1977 and then look at it in
  • 00:12:36
    2007 it's like a chain reaction the more
  • 00:12:38
    complex things we built the more complex
  • 00:12:40
    things they allow us to build and now
  • 00:12:42
    our transport networks our financial
  • 00:12:44
    systems our energy systems are much much
  • 00:12:46
    more complex than ever before and
  • 00:12:48
    there's a problem with that because very
  • 00:12:50
    complex systems can become fragile
  • 00:12:53
    adding a single grain of sand to a sand
  • 00:12:55
    pile can trigger an avalanche and those
  • 00:12:58
    Avalanches are happening faster and
  • 00:12:59
    faster we're all familiar with 2008
  • 00:13:01
    financial crisis but in 2010 competing
  • 00:13:04
    trading algorithms got locked into a
  • 00:13:05
    feedback loop that created a trillion
  • 00:13:08
    dollar stock market crash in 45 seconds
  • 00:13:11
    was called the flash crash of 2:45
  • 00:13:14
    p.m. connections also mean that problems
  • 00:13:16
    spread very very quickly three billion
  • 00:13:19
    people fly every year and that means
  • 00:13:20
    that the next pandemic we're going to
  • 00:13:22
    have is going to be truly Global in a
  • 00:13:24
    very complex system you can also get
  • 00:13:26
    cascading failures one thing failing
  • 00:13:27
    after another this is the electricity
  • 00:13:29
    grid of India and in 2012 just one power
  • 00:13:32
    line being overloaded crashed the entire
  • 00:13:34
    grid and left 600 million people without
  • 00:13:36
    power for 3 days and sometimes
  • 00:13:39
    connections can be very very hard to see
  • 00:13:41
    imagine a forest fire in Russia what
  • 00:13:43
    does it have to do with the Arab Spring
  • 00:13:46
    well forest fires in Russia led to the a
  • 00:13:48
    grain export ban which caused massive
  • 00:13:49
    Financial speculation on food prices
  • 00:13:52
    which caused food riots in North Africa
  • 00:13:53
    and ultimately to people deciding they
  • 00:13:55
    finally had
  • 00:13:56
    enough our most difficult problem s like
  • 00:13:59
    climate change involve both the
  • 00:14:01
    complexity of Nature and the complexity
  • 00:14:03
    we're creating to fix CL climate change
  • 00:14:05
    we need to understand Finance we need to
  • 00:14:07
    understand energy we need need to
  • 00:14:08
    understand soil and biology and the
  • 00:14:10
    atmosphere and and the oceans and
  • 00:14:12
    Quantum Mechanics for carbon and light
  • 00:14:14
    all of those things at the same time so
  • 00:14:17
    we live in a world where most of what we
  • 00:14:20
    think we know is wrong small things
  • 00:14:22
    breaking means that big things break and
  • 00:14:24
    when things break they break very
  • 00:14:25
    quickly everything is connected and we
  • 00:14:27
    can't see those connections and to
  • 00:14:29
    understand anything you have to
  • 00:14:31
    understand
  • 00:14:33
    everything so that's a little bit
  • 00:14:36
    scary but there's no reason to Panic
  • 00:14:39
    it's actually also quite exciting for
  • 00:14:41
    for me looking at all these complexity
  • 00:14:42
    is like looking at those Stars again and
  • 00:14:44
    that's why I did what SAR did and
  • 00:14:46
    switched from physics to biology there
  • 00:14:48
    are amazing New Opportunities if we can
  • 00:14:49
    learn to live with complexity and I
  • 00:14:52
    think we can and actually we now have
  • 00:14:54
    the means to make a lot of things much
  • 00:14:55
    simpler a lot of our systems like
  • 00:14:57
    finance and energy are fragile because
  • 00:14:59
    they have Central nodes like Banks and
  • 00:15:01
    power plants that are connected to
  • 00:15:02
    everything else so what if we took those
  • 00:15:04
    away think about Technologies like solar
  • 00:15:06
    power or Tesla's power wall again both
  • 00:15:09
    powered by transistors maybe we can have
  • 00:15:11
    power systems that are much less
  • 00:15:12
    centralized and much more resilient we
  • 00:15:15
    might be able to do the same thing for
  • 00:15:16
    finance Bitcoin is an example of a
  • 00:15:18
    platform that allows to have trusted
  • 00:15:20
    transactions without a central Authority
  • 00:15:22
    like a bank that verifies them but what
  • 00:15:25
    about the complexity of nature now
  • 00:15:27
    cancer and climate change are so
  • 00:15:28
    difficult problem that they might be too
  • 00:15:29
    much even for an Einstein but what about
  • 00:15:32
    a million Einstein all working together
  • 00:15:34
    where could we find those Einstein well
  • 00:15:36
    the chances are that a lot of those
  • 00:15:37
    Einstein are now playing computer games
  • 00:15:40
    and just all the hours spent on playing
  • 00:15:41
    Angry Birds actually would translate
  • 00:15:43
    into 12 wikipedias every year and
  • 00:15:45
    actually the best way to find the shape
  • 00:15:48
    of a biological molecule is already a
  • 00:15:50
    computer game called folded with 15
  • 00:15:52
    million players there are other
  • 00:15:54
    platforms like that like Z universe that
  • 00:15:56
    mean that anyone can now try to find
  • 00:15:57
    cancer mutations or new kinds of
  • 00:15:59
    galaxies in huge sets of data and we
  • 00:16:01
    might even be able to apply that
  • 00:16:03
    approach to politics Iceland recently
  • 00:16:05
    tried to crowdsource the drafting of the
  • 00:16:06
    Constitution via social media now you
  • 00:16:08
    might think that was a terrible idea but
  • 00:16:09
    actually worked out quite well uh so
  • 00:16:12
    there there are ways to make democracy
  • 00:16:13
    more transparent and have more brains
  • 00:16:15
    working on problems that no single
  • 00:16:17
    politician could ever understand it may
  • 00:16:20
    be that we have to give up some ideas
  • 00:16:21
    about systems that we have like the fact
  • 00:16:23
    that we we may not need to be able to
  • 00:16:26
    understand them nature evolves systems
  • 00:16:27
    without understanding them that might my
  • 00:16:29
    company Helix Nano we're trying to build
  • 00:16:31
    molecular machines that make writing
  • 00:16:32
    genetic code easier using machines that
  • 00:16:35
    we've evolved in a test tube and not
  • 00:16:37
    designed so in a way we can tackle
  • 00:16:40
    complexity by accepting it and embracing
  • 00:16:43
    it and maybe ultimately the systems we
  • 00:16:44
    build will merge with the systems of
  • 00:16:46
    nature until we can no longer tell where
  • 00:16:48
    one ends and one
  • 00:16:50
    begins Einstein said that things should
  • 00:16:52
    be as simple as possible but no simpler
  • 00:16:56
    and that's a good rule for us to follow
  • 00:16:57
    both as a species
  • 00:16:59
    and in our lives so let's Embrace
  • 00:17:01
    complexity where we must but find
  • 00:17:02
    Simplicity where we can and this is a
  • 00:17:05
    thought I'd like to leave you with
  • 00:17:07
    there's a name for the time in our lives
  • 00:17:09
    where everything we think we know turns
  • 00:17:10
    out to be wrong where everything is too
  • 00:17:12
    complex everything is too overwhelming
  • 00:17:14
    and we don't know what to do and it's
  • 00:17:16
    called growing up and that's when our
  • 00:17:20
    adventures really begin thank you very
  • 00:17:22
    much
  • 00:17:31
    [Music]
  • 00:17:36
    [Applause]
Tags
  • universe
  • complexity
  • Einstein
  • Big Bang
  • atoms
  • transistors
  • scientific discovery
  • collaboration
  • modern systems
  • innovation