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Hello.
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So sorry.
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I'm not speaking Spanish. Guys.
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so, firstly, I'm really, really delighted
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to be here in Mexico at this incredible
festival with all of you.
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Thank you very, very much for having me.
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And to all the team who've got me here,
thank you very much.
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so first of all, a little anecdote,
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when I submitted the name of
this presentation a couple of months ago.
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Now, the title was A Cultural Revolution
with no question mark.
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But as I've been preparing
and researching and learning
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and AI changes so fast,
it's been difficult to keep up
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even over the last two weeks,
because you will have seen
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a load of updates from ChatGPT
for just in the last week.
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so I decided to add this question mark,
and it's really
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because I'd like you guys to have a big
think about what you think.
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whether you think this is,
a cultural revolution,
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is it changing the creative world forever?
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I'd love at the end,
for us to be able to discuss that.
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So this presentation
was made using a lot of AI,
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and I use it in many,
many ways throughout it.
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So I'd love to see if you can spot
where I've used AI and where it was me.
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so for starters,
this image was made by Midjourney,
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a generative
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image AI, and the prompt was an image
to represent
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AI drawn in black in yellow
for presentation.
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Whimsical? No, people.
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So it seems as if Midjourney see this
AI in human form,
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but not as inherently human.
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Make of that what you will.
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So what is this going to be about?
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I'm going to explain who I am and what I
do and essentially why I'm here.
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and I'm going to talk about
how I make things, what immersive
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storytelling is, why it's different
from other forms of storytelling.
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And then about AI and how it's affecting
immersive technology in particular,
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but immersive storytelling
across everything that I work on.
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And the fact is, is that
AI is really affecting every industry
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in the whole world.
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but what does this mean for a sector
that celebrates the human and is,
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values creativity above everything else?
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So why is this interesting for us
here now?
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so, this is an amazing quote
I thought from Boaz.
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And you may have seen this,
and he talks about drawing
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a map of the world and peopling it,
and at the end, coming
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across the patient labyrinth
and realizing it's his own face.
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And I think this is part of
why AI is so interesting to us,
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because he describes the life
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as a small, iridescent sphere
of almost unbearable brightness,
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and I think this really is an allegory
for AI, because it's a very,
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very hard thing to look at because it's
AI is a search for knowledge,
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and within that quest is a search
for personal identity.
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Because what really troubles us
most about AI
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is an existential worry
about our own identity.
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Because if we are not the most developed
intelligence on earth, what are we for?
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If we are not the most creative force
on earth, what is it that makes us human?
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What is a consciousness
if it's not an inherently human attribute?
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And can consciousness even really exist
if it has, without the confines of death?
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And all these questions
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at the heart of everything that we're
looking around AI at the moment in.
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So in the search
for the understanding of AI,
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we really are searching
for the understanding of ourselves,
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which you might also argue is the same
quest that all creativity follows.
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The search
for an understanding of ourselves.
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So who am I? thanks for having me.
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here's a picture of me.
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Same necklace, same thing, same wonkiness.
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I work at, the crossover of art
and technology, which is why I'm here.
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And I really, really love
working with technology.
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And I love everything it can do for us.
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And I, really is just getting started.
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So, I started as a theater director.
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I trained at the Royal Academy
of Dramatic Art in London,
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at the National Theater in London,
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at the Donmar Warehouse,
which is in the West End of London.
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And I'm lucky enough
to have directed all over the world
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in France, Italy and Turkey,
Canada, America, everywhere really.
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And I
had a, a company called Theater Uncut.
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I also direct video games.
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I do the performance directing for that,
and I've directed
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BAFTA winning performance
in some of the world's biggest games.
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And that's really how I started
getting into technology.
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And I now make immersive
events, theater and VR.
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And I'm going to talk to you
about a couple of the biggest ones
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I've done, because I'm going to be
referencing them as we move through.
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So one of my most high profile and recent
immersive
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projects has been the Gunpowder Plot,
with the lovely Tom Felton there,
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and it's a multi-million pound, feature
length, immersive storytelling experience.
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And it's at the Tower of London.
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So the expectations for
it were were pretty high.
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and it uses, a lot of technology,
including VR and projections,
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haptics, volumetric capture,
Ambisonics, sound, motion
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simulators, airflow,
it even smell technology
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really to create 360 experience,
as well as using theatrical storytelling
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like actors Set and a really excellent
script by Danny Robbins.
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So just to kind of tell you what this is,
because it's going to be coming up
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quite a lot.
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It's made by layered reality
with historic Royal Palaces
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who run, a lot of our ancient monuments.
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it's in these vaults which are listed.
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They are, hundreds of years old,
which was a bit of a challenge.
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It's a completely 360 environment,
and it's 2350m².
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So it's pretty big.
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It's, a fully linear narrative,
but it's got two endings, and the audience
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can make a decision in the middle
about which ending, they would prefer.
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it is 90 minutes.
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The audience play spies within the plot.
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it's based on a very famous British, plot,
against the government in 1605.
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And there are audience groups of 16 people
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every ten minutes
throughout the entire day.
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So there are 16 people
in every single space the whole time.
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And they move around on a carousel,
which is operationally quite tricky.
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We can, I'm sure I'll show you a bit
of how AI has been helping us with that.
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And it has three very aims and Ambisonics
sound space,
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full scale projection spaces.
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and over two years
we've had 150,000 visitors.
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We're still open
if you're ever in London, come along.
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and I will be referencing that throughout
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the next, experience.
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and I think this is really where I came
to the attention, brilliantly for of,
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the people here at left is that
I was working on another multi-million
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pound project, which is going to be out
in 2025 called the Museum of Shakespeare,
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which is again, a, really massive project
on an extraordinary historical location.
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So Shakespeare had a theater that
he worked at called, the Cotton Theater.
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And the archeological remains
are in central London.
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we are building a massive experience
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around it, and it's where Romeo and Juliet
was first performed, for example.
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And so they're, what we're doing very much
is, trying to,
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bring to life the feeling that Shakespeare
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would have had in that time
and why he was at that location.
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I can't say too much about it,
because I'm under an NDA because it's
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not out yet, but I will be referencing it
where I can because we were exploring
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a lot of AI technologies
to bring it to life.
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so just to show you the gunpowder plots,
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so you understand a little bit later
what I'm talking about.
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The Gunpowder Plot
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immersive experience is, I think,
a whole new way of experiencing history.
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This experience tells the story
behind this legal team.
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A spy infiltrating the Gunpowder Plot.
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You get asked to be inside it.
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You get to feel everything.
You get to meet the people.
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You get to smell it, touch it, hear it.
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And we do that through both the magic
of theater and through technology.
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Virtual reality
takes you back to being a kid again.
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It gives you that sense of magic
to be able to take people literally
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into Jacobean London.
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You are going to go down the River
Thames and see London as it was at 1605.
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My role in it, and begins with drawing
visuals of the sorts of things
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that the audience can expect
to be surrounded by or to experience.
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So when the audience
are in the experience,
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they will be underground in the tower
vaults next to the tower of London.
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it's a really great place
to experience this story, because
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it's so close to where many of the key
events of the story happen.
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We are separated here from the people
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that were part of this historic plot
only by time and not by location.
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This is not like anything
you've seen before.
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You will never be immersed in this way.
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It's entertainment.
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You're with people
and you're on a mission.
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A lot of people are going to have
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the kind of experience that
they will remember for a very long time.
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Where else can you step back to 1605
and infiltrate history's most famous plot?
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The Gunpowder Plot
Immersive will take you back to 1605
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and put you in the heart of history's
most daring conspiracy.
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So there we go.
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and just to show off a touch,
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we have, some of our reviews.
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We, did very well out of that.
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It's still open two years later, so. Yeah.
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Do you come?
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And if you want to get in contact with me
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for anything,
I also run a company called Bury Giants.
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And I will happily make anything
you want me to make.
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And we are creators,
producers, consultants.
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And we have a touring platform, which is
a small scale, immersive platform.
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So what do we actually do? I'm talking
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about being a creative director,
talking about making stuff, yada yada.
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But what do I do?
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I work across many different genres,
and I'm going to talk a lot
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about the experiential work
that I do, mainly about,
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experiential work in immersive,
storytelling genre.
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So, I would say that my job really
as a storyteller or a story maker.
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So first,
if I am leading the story from the start,
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like with the Gunpowder Plot,
I find the story, I shape it.
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Sometimes I write it
or I work with a writer.
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I always ask,
what is the story we're telling?
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Why is it most important?
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What moments are most important?
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And how do we take a story
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and allow an audience to get inside it
rather than just watching it?
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So we use traditional theater techniques,
including actor set,
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script rehearsals, alongside technology.
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And we're going to look at that emotion
technology,
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that immersive technology shortly.
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And when we choose the technology,
which we don't always do,
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we're always driven by the story.
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What would help make the story clearer,
more emotional, more effective?
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Why are we using this technology?
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And, the point of,
I'm going to talk a little bit
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about what immersive storytelling is
and how our senses work.
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So when we're thinking about
what immersive is and if,
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I mean, I've had a look at the,
a lot of things here in Mexico.
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And it seems here, like with us,
immersive is a word that's just used
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for anything
that's kind of a bit sort of 360.
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So, but when we're making it,
what we tend to do
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is try to think about what,
how our senses work in relation
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to how we experience the world
so we don't access the world directly,
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we infer it through our senses,
and we build a model of it in our brains.
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So it's become a perception.
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The sensations are mixed with memory,
emotion and cognition, which means
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that these,
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senses,
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these perceptions are unique to us
personally.
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So, as people,
we only really perceive change.
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The rest is filtered out to avoid sensory
overload.
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And, if you, ever do any storytelling
yourself,
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you'll know that change is fundamental
to traditional storytelling.
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Everything from the three act structure
that is in every single movie
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you've ever seen.
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To like Shakespeare's
five acts, to a video game
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where there's a running joke
that the hero's journey is something
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that if they hear that word again,
they're all going to jump out of a window.
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and we all have storytelling brains.
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We turn complexity
into cause and effect stories.
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We are always a hero of our own lives.
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So that is really why
immersive is different from other forms,
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because we take storytelling
and we turn it into story.
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Doing so instead of seeing someone else's
reality, instead of being passive
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or watching or standing outside of
the story, we put the audience inside it
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and they experience the story
as if it's their own reality.
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And we do this, in a variety of ways.
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But one of the ways
is that the storytelling in
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immersive is always through the body.
233
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So our bodies are telling our brains
it's real and we stimulate all the senses.
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Like I said, we play with temperature,
235
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we play with texture, wall texture,
we play with even wetness.
236
00:13:24,537 --> 00:13:28,874
smells everything that you could imagine
that makes up our world here.
237
00:13:29,008 --> 00:13:32,945
We use in immersive storytelling,
and this makes memories clearer
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because it's body rooted
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00:13:34,480 --> 00:13:37,950
and in the way that you experience
this world now and you're remembering it.
240
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That's how we use those senses
to try to create an experience for you.
241
00:13:41,921 --> 00:13:43,455
So that is through set and props.
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00:13:43,455 --> 00:13:46,892
Like I said, light and sound
smells, temperature, airflow.
243
00:13:46,892 --> 00:13:50,996
So making it windy, physical interactivity
and then technology.
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00:13:51,297 --> 00:13:53,599
And we often, like I said,
give the audience a role
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00:13:53,599 --> 00:13:55,201
so they have a mission or something
246
00:13:55,201 --> 00:13:58,003
to do in the world, which keeps them
very rooted in that world.
247
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And we can change the storytelling
and have it adapted
248
00:14:00,272 --> 00:14:02,775
because it's very involved
with an audience at the time.
249
00:14:02,775 --> 00:14:05,811
And we use a lot of interactivity,
both, with people in the room.
250
00:14:05,811 --> 00:14:08,380
But also digitally and has been proven.
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00:14:08,380 --> 00:14:10,349
This is a quote from Science Direct.
252
00:14:10,349 --> 00:14:14,253
there was a study in late 2023
that immersive storytelling has a deeper
253
00:14:14,253 --> 00:14:18,357
emotional impact and a stronger
internalization of information.
254
00:14:18,357 --> 00:14:21,660
So if you want somebody to remember
something and with a gunpowder Plot,
255
00:14:21,660 --> 00:14:24,630
we had a mission in there
that it was partly educational,
256
00:14:24,697 --> 00:14:28,601
that that this is a really good way
to make people feel and understand
257
00:14:28,801 --> 00:14:31,804
a story and take away
what you want them to take away.
258
00:14:31,937 --> 00:14:35,608
So I'm going to talk a little bit
about the technologies we use.
259
00:14:35,808 --> 00:14:37,877
And this is because later
when I'm talking about
260
00:14:37,877 --> 00:14:41,447
I want you to understand the technology
so I can talk about how they're changing.
261
00:14:41,814 --> 00:14:44,416
So I'm really sorry
if some of you know all of these,
262
00:14:44,416 --> 00:14:46,986
but I'll try to get through them
fairly quickly.
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00:14:46,986 --> 00:14:49,555
so first of all, we have VR
and we have a man here
264
00:14:49,555 --> 00:14:52,591
in, in his headset
looking at this lovely butterfly.
265
00:14:52,892 --> 00:14:55,060
And this is essentially fully created.
266
00:14:55,060 --> 00:14:58,797
3D space is most often
made in a game engine, which is,
267
00:14:59,131 --> 00:15:01,700
a 3D world creating, space.
268
00:15:01,700 --> 00:15:06,939
And this is used in museums, video games,
amusement parks, immersive experiences.
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00:15:07,172 --> 00:15:09,708
and you probably will
have come across this and,
270
00:15:10,976 --> 00:15:13,979
we have a lot more access to it now with
Oculus and things like that in the home.
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00:15:13,979 --> 00:15:16,982
And we use three pieces of it
in, gunpowder.
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00:15:16,982 --> 00:15:20,486
So, augmented
reality really does what it says.
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00:15:20,753 --> 00:15:24,390
So, if you're using your personal handset
and you're looking at the world
274
00:15:24,390 --> 00:15:27,993
through it, it gives you a live video feed
and then put something on top of it.
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00:15:27,993 --> 00:15:30,529
So it just augments
the reality you're seeing.
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00:15:30,529 --> 00:15:33,933
And if you've ever seen anyone playing
Pokemon Go, that's what that is.
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00:15:35,167 --> 00:15:38,037
this is, slightly old fashioned now,
278
00:15:38,037 --> 00:15:41,540
but a diagram of Ambisonics
or binaural sound.
279
00:15:41,807 --> 00:15:44,910
And this is the way that we create 3D
sound in a space.
280
00:15:45,110 --> 00:15:48,180
And, experiencing sound in 3D
281
00:15:48,447 --> 00:15:51,450
creates
a world in a much better way than 2D.
282
00:15:51,750 --> 00:15:54,753
and when it's 3D, we're
also talking about underneath and above,
283
00:15:55,487 --> 00:15:59,758
and in gunpowder,
we have a, a room where we use this.
284
00:15:59,758 --> 00:16:01,894
Essentially
you're hiding from the Kingsmen
285
00:16:01,894 --> 00:16:05,164
and you're being put in a cupboard,
essentially they they were hunting,
286
00:16:05,531 --> 00:16:08,534
Catholics at the time, very, very awfully.
287
00:16:08,634 --> 00:16:11,303
so you're hiding in there,
and the Kingsmen are coming for you,
288
00:16:11,303 --> 00:16:13,973
and we use the speakers
all the way around this tiny little space
289
00:16:13,973 --> 00:16:16,342
you're in
to make it feel like they're behind you.
290
00:16:16,342 --> 00:16:17,977
That's a dog sniffing at your feet.
291
00:16:17,977 --> 00:16:19,445
Someone's coming to the door.
292
00:16:19,445 --> 00:16:22,081
It's all done in sound design,
but people often think it's real.
293
00:16:23,582 --> 00:16:25,117
lighting and projection.
294
00:16:25,117 --> 00:16:29,154
You will have seen this,
but projection really uses, massive,
295
00:16:29,455 --> 00:16:33,192
effects to create, a 3D effect
or bring large imagery to light.
296
00:16:33,392 --> 00:16:36,395
But we also use a lot of lighting
that you would see in normal theater
297
00:16:36,395 --> 00:16:39,465
stuff, like maybe a, window,
298
00:16:40,265 --> 00:16:43,168
looks very much like daylight
and a shadow passes by it
299
00:16:43,168 --> 00:16:47,006
so that you feel like there's somebody
there, for example, or weather effects,
300
00:16:47,006 --> 00:16:50,943
all of all of the theatrical storytelling
you would expect motion
301
00:16:50,943 --> 00:16:52,811
simulators and haptics.
302
00:16:52,811 --> 00:16:54,279
something we use quite a lot.
303
00:16:54,279 --> 00:16:59,885
So motion simulators are where, you are
in on top of a machine that moves you.
304
00:17:00,119 --> 00:17:04,556
And it's most often used in connection
with VR or other types of immersion,
305
00:17:04,556 --> 00:17:07,059
so that, for example,
we have, an experience
306
00:17:07,059 --> 00:17:09,028
where you're sitting in a boat
going down the river
307
00:17:09,028 --> 00:17:12,631
and you get tilted around on a machine
exactly the same as the VR.
308
00:17:12,731 --> 00:17:16,602
It does make it very well real,
and it can tilt a tiny bit and people
309
00:17:16,602 --> 00:17:17,703
still scream their heads off.
310
00:17:18,737 --> 00:17:20,672
and, haptics is essentially
311
00:17:20,672 --> 00:17:24,009
using vibration or physical sensation
related to the digital world.
312
00:17:24,009 --> 00:17:27,212
So even in your hand setting,
something happens and it vibrates.
313
00:17:27,813 --> 00:17:29,014
and we use it quite a lot.
314
00:17:29,014 --> 00:17:31,083
In gunpowder, for example,
we have an explosion
315
00:17:31,083 --> 00:17:34,053
and the everything vibrates in the room
and it's quite evocative.
316
00:17:34,686 --> 00:17:35,554
holograms.
317
00:17:35,554 --> 00:17:40,292
So holograms is using projections
on unusual services,
318
00:17:40,626 --> 00:17:43,562
surfaces
to create the illusion of a presence.
319
00:17:43,562 --> 00:17:46,832
And this is from above,
which, which is an amazing show in London.
320
00:17:47,366 --> 00:17:50,769
and it's essentially creating the illusion
of a 3D object in space.
321
00:17:52,171 --> 00:17:54,940
None of these people are real.
322
00:17:54,940 --> 00:17:57,943
On the stage.
323
00:18:03,382 --> 00:18:07,286
So explain to me.
324
00:18:07,386 --> 00:18:11,890
But think about it now.
325
00:18:11,890 --> 00:18:13,759
We saw we get.
326
00:18:13,759 --> 00:18:17,062
So, that was all done
with hologram technology and it creates
327
00:18:17,062 --> 00:18:18,630
the illusion of somebody there.
328
00:18:18,630 --> 00:18:21,667
So, this is, one that you may not know.
329
00:18:21,667 --> 00:18:23,936
This is, volume technology.
330
00:18:23,936 --> 00:18:27,639
And essentially this is using
a very large scale LED screen.
331
00:18:28,140 --> 00:18:29,808
it's used a lot in video production,
332
00:18:29,808 --> 00:18:33,278
but it's being used often
now in, immersive experiences.
333
00:18:33,579 --> 00:18:34,880
I'll just let them explain it.
334
00:18:36,915 --> 00:18:39,118
I couldn't believe what I was watching.
335
00:18:39,118 --> 00:18:41,920
I remember the first time
I walked on the volume and I was like,
336
00:18:41,920 --> 00:18:45,991
wow, you can literally take actors
into a real space.
337
00:18:45,991 --> 00:18:49,761
What's not being well, I tried to describe
to my son that I just said,
338
00:18:50,762 --> 00:18:53,699
oh, it's like the biggest TV
339
00:18:53,699 --> 00:18:56,702
he'll ever see,
and we just act in front of it.
340
00:18:56,802 --> 00:18:59,071
You see the whole landscape
in front of you.
341
00:18:59,071 --> 00:19:01,006
So you're really looking at the sea and.
342
00:19:01,006 --> 00:19:02,141
It looks real.
343
00:19:02,141 --> 00:19:05,144
He looks real.
344
00:19:08,981 --> 00:19:09,781
So it's essentially
345
00:19:09,781 --> 00:19:13,318
very dense pixel LED screens
and they look very real.
346
00:19:13,519 --> 00:19:16,321
And one of the exciting things about it
is they throw light.
347
00:19:16,321 --> 00:19:19,024
So if you're in it
and you're you feel like
348
00:19:19,024 --> 00:19:22,027
you're on that, you're also lit correctly,
which is,
349
00:19:22,261 --> 00:19:25,264
pretty extraordinary
for immersive experiences as well.
350
00:19:25,564 --> 00:19:30,269
and here we have a quite old picture here,
but this is face and body capture.
351
00:19:30,602 --> 00:19:34,540
And what we have
here is a picture from avatar, the film.
352
00:19:34,540 --> 00:19:38,644
But essentially this is creating
likenesses for digital avatars,
353
00:19:39,411 --> 00:19:42,080
mocap, performance capture,
354
00:19:42,080 --> 00:19:45,284
facial capture and finally a AI,
355
00:19:45,450 --> 00:19:48,820
which we will talk about,
and I couldn't resist I love him.
356
00:19:48,820 --> 00:19:49,922
Here's a picture of Keanu.
357
00:19:50,956 --> 00:19:54,092
and here he is in the most famous
film ever made about AI,
358
00:19:54,092 --> 00:19:56,094
which I think
is where a lot of our worries
359
00:19:56,094 --> 00:19:59,097
about what the hell it's
going to do to officer culture come from.
360
00:19:59,765 --> 00:20:01,400
so here we are at last.
361
00:20:01,400 --> 00:20:02,935
Let's talk about it.
362
00:20:02,935 --> 00:20:05,304
what is AI?
363
00:20:05,304 --> 00:20:08,807
and, hopefully you'll see through the next
a little bit of time
364
00:20:08,807 --> 00:20:12,144
how this is going to change some of those
technologies I've just spoken about
365
00:20:12,411 --> 00:20:15,747
and how it's going to infiltrate
a lot of the way we experience culture.
366
00:20:16,448 --> 00:20:18,317
So it's worth saying this.
367
00:20:18,317 --> 00:20:21,453
You probably know that we all use
AI all the time.
368
00:20:22,321 --> 00:20:26,725
an AI sound glamorous, but a lot of it is
just processed and programs
369
00:20:27,292 --> 00:20:30,162
and, briefly,
you you probably use a bunch of it
370
00:20:30,162 --> 00:20:33,599
this morning if you have access to
anything digital, your phone camera,
371
00:20:33,699 --> 00:20:38,637
recommendations for light, focus settings,
email filtering, fraud detection.
372
00:20:39,338 --> 00:20:43,141
so my bank council, my call it
the other day because I was in Mexico,
373
00:20:43,442 --> 00:20:44,676
it got confused.
374
00:20:44,676 --> 00:20:46,311
That was an AI that did that.
375
00:20:46,311 --> 00:20:49,314
It decided
I wasn't behaving in my normal patterns.
376
00:20:49,448 --> 00:20:52,618
all of our social feeds,
Google route optimization,
377
00:20:53,652 --> 00:20:56,955
airline pricing and your home devices.
378
00:20:56,955 --> 00:20:59,958
So it's everywhere
and it's been everywhere for a long time.
379
00:21:00,959 --> 00:21:03,161
and there are three types of AI
380
00:21:03,161 --> 00:21:07,432
that the, scientists, as a bunch have,
381
00:21:09,601 --> 00:21:10,636
identified.
382
00:21:10,636 --> 00:21:12,671
And it's worth saying
that I'm not a technician.
383
00:21:12,671 --> 00:21:15,907
So if you have anything super technical
to ask, you can ask it to me.
384
00:21:15,907 --> 00:21:18,910
I'll ask ChatGPT
and then we can talk about it.
385
00:21:19,444 --> 00:21:21,847
so super intelligent AI doesn't just
386
00:21:21,847 --> 00:21:24,916
mimic or understand human intelligence,
it's actually more intelligent.
387
00:21:25,183 --> 00:21:26,852
That's the top level.
388
00:21:26,852 --> 00:21:31,790
General AI is the next level down,
and this is a machine with the ability
389
00:21:31,790 --> 00:21:35,761
to apply intelligence to any problem,
rather than just one specific problem,
390
00:21:36,061 --> 00:21:37,262
much like a human being.
391
00:21:37,262 --> 00:21:41,099
And the last one is narrow AI,
which is designed to perform a narrow
392
00:21:41,099 --> 00:21:44,269
or specific task. We only have narrow.
393
00:21:44,770 --> 00:21:47,105
We've got some things that are looking
like they might move, but we don't.
394
00:21:47,105 --> 00:21:50,008
We're not anywhere near
the other ones at this point.
395
00:21:50,008 --> 00:21:54,513
And as I got these definitions of ChatGPT,
I thought I better check in the real
396
00:21:54,513 --> 00:21:57,516
well to make sure ChatGPT
wasn't lulling me into a false sense
397
00:21:57,516 --> 00:22:01,520
security
and making, making it so self hiding.
398
00:22:02,087 --> 00:22:03,155
so yes, it's true.
399
00:22:03,155 --> 00:22:07,326
Currently we are still quite a long way
from any of the others, so no panic
400
00:22:07,326 --> 00:22:08,827
there just yet.
401
00:22:08,827 --> 00:22:11,430
And there are two types of AI,
402
00:22:11,430 --> 00:22:12,331
within generative
403
00:22:12,331 --> 00:22:14,232
AI and generative
AI is what we're going to
404
00:22:14,232 --> 00:22:16,668
be talking about, except
the ones makes the pictures of the text.
405
00:22:16,668 --> 00:22:19,204
That's the ones that you will have been
seeing a lot in the news.
406
00:22:19,204 --> 00:22:21,106
And there's machine learning,
which uses a data
407
00:22:21,106 --> 00:22:24,109
set to make determinations of predictions
from that data,
408
00:22:24,242 --> 00:22:26,678
and that relies on
somebody inputting data.
409
00:22:26,678 --> 00:22:29,581
And there's deep learning,
which is more a bit more like our brains.
410
00:22:29,581 --> 00:22:32,918
It's a bit more like a neural network,
and it cross-references lots of things.
411
00:22:33,585 --> 00:22:37,989
and this is used for more, unstructured
output like image generation or speech.
412
00:22:39,691 --> 00:22:41,293
so it's worth just going.
413
00:22:41,293 --> 00:22:43,862
What is, data set?
414
00:22:43,862 --> 00:22:46,832
All generative AI uses a data set.
415
00:22:46,832 --> 00:22:50,268
A data set is just a collection of data,
images, text numbers,
416
00:22:50,736 --> 00:22:53,338
which are used to train and test
AI models.
417
00:22:53,338 --> 00:22:55,207
And in the case of ChatGPT,
418
00:22:55,207 --> 00:22:59,745
this is a thing called the common crawl,
which is a data scraper from the internet.
419
00:22:59,978 --> 00:23:03,281
And for Midjourney,
which is an AI image generator,
420
00:23:04,015 --> 00:23:07,185
they're spreadsheet of where they were
taking, stuff from was released.
421
00:23:07,352 --> 00:23:10,989
There was 16,000 artist names
that they were using for image generation,
422
00:23:11,223 --> 00:23:15,060
and they were everybody from David Hockney
and the very famous Leonardo da Vinci,
423
00:23:15,227 --> 00:23:18,497
all the way down to a six year old
who drew a picture for a hospital.
424
00:23:18,697 --> 00:23:21,533
So they really were casting the net wide.
425
00:23:21,533 --> 00:23:25,504
But there are some inherent problems here
within a data set,
426
00:23:25,704 --> 00:23:27,272
and it is very controversial.
427
00:23:27,272 --> 00:23:29,641
And people are getting pretty
wound up about
428
00:23:29,641 --> 00:23:31,710
where this information is coming from.
429
00:23:31,710 --> 00:23:33,278
And the first one is bias.
430
00:23:33,278 --> 00:23:37,048
So if the dataset includes bias,
which it probably does
431
00:23:37,048 --> 00:23:40,051
depending on where you're scraping it
from, the AI model trained on
432
00:23:40,051 --> 00:23:43,288
it will inherit and often
amplify the biases.
433
00:23:43,455 --> 00:23:47,159
So for example, if a dataset is used
to train facial recognition
434
00:23:47,159 --> 00:23:51,229
predominantly contains images, of people
from a certain racial group,
435
00:23:51,530 --> 00:23:54,533
then they will have the
AI will have a problem
436
00:23:54,566 --> 00:23:57,169
with other groups of people.
437
00:23:57,169 --> 00:24:02,340
And you do see this, and because a lot of,
current AI generative
438
00:24:02,340 --> 00:24:05,477
AI that we're seeing is very Western
leading is very made in America.
439
00:24:05,677 --> 00:24:08,680
You're seeing a bent towards that culture.
440
00:24:08,847 --> 00:24:11,082
So privacy is a really massive one.
441
00:24:11,082 --> 00:24:14,085
Data sets often contain personal
or sensitive information.
442
00:24:14,286 --> 00:24:15,454
And it's popped in in AI.
443
00:24:15,454 --> 00:24:18,256
And people don't know
what's happening to their data.
444
00:24:18,256 --> 00:24:22,160
Copyright and intellectual property
artists haven't given their permission
445
00:24:22,160 --> 00:24:26,898
to use their work, so they feel like their
work is being essentially cannibalized.
446
00:24:27,232 --> 00:24:32,504
And, there's a lot of worry here around
how their work is being used
447
00:24:32,504 --> 00:24:35,640
and essentially when it's also being
monetized and someone's,
448
00:24:36,741 --> 00:24:39,811
an AI is created an image, it's
very like someone else's work.
449
00:24:39,811 --> 00:24:42,614
It's obviously used a dataset
containing their work
450
00:24:42,614 --> 00:24:44,616
and someone that is selling it
or making money off it.
451
00:24:44,616 --> 00:24:47,819
That's really that's an a really ethically
difficult area.
452
00:24:48,153 --> 00:24:51,223
And, there's a tool out at the minute
called nightshade
453
00:24:51,490 --> 00:24:54,693
and it lets artists put invisible changes
454
00:24:54,893 --> 00:24:57,896
into the pixels of their art
before they upload it,
455
00:24:57,929 --> 00:25:01,333
so that if it's then scraped into an AI,
it can break the AI.
456
00:25:01,533 --> 00:25:04,736
It can, caused it to behave in weird ways.
457
00:25:05,837 --> 00:25:08,573
so, I did this,
458
00:25:08,573 --> 00:25:11,243
and then last week, ChatGPT for, or ever
459
00:25:11,243 --> 00:25:14,246
came out, which does like all of this,
but there are very
460
00:25:14,312 --> 00:25:17,349
these are the kind of ways that generative
AI is working text attacks,
461
00:25:18,016 --> 00:25:22,621
text, video, video to text all of these
configurations in various different ways.
462
00:25:22,687 --> 00:25:26,925
And there's loads and loads and loads of
different types of AI that you can access.
463
00:25:27,158 --> 00:25:30,529
And some of them are really incredible
and very useful.
464
00:25:31,062 --> 00:25:34,299
So how is I already used in the arts?
465
00:25:34,633 --> 00:25:37,569
and I'm going to go back
just quickly to the more boring, process
466
00:25:37,569 --> 00:25:39,905
driven stuff
rather than the more generative AI,
467
00:25:39,905 --> 00:25:43,975
but ticket sales, dynamic prices,
audience analysis is a massive one.
468
00:25:44,175 --> 00:25:45,810
We can see what an audience is doing
469
00:25:45,810 --> 00:25:48,780
and then predict
what they're going to need within a, in a,
470
00:25:49,247 --> 00:25:52,817
in an experience email personalization,
all the stuff that we talked about before,
471
00:25:53,518 --> 00:25:55,887
but one that is sort of changing stuff,
472
00:25:57,155 --> 00:26:00,492
for audience
journeys is operational automation.
473
00:26:00,759 --> 00:26:02,360
And a lot of this is already underway.
474
00:26:02,360 --> 00:26:02,694
And I'll show
475
00:26:02,694 --> 00:26:04,262
you've got
a little bit of this in gunpowder,
476
00:26:04,262 --> 00:26:07,232
but this is where the entire journey
of somebody from buying a ticket,
477
00:26:07,432 --> 00:26:11,036
getting in, and all of their journey
all the way through is automated.
478
00:26:11,036 --> 00:26:14,039
And it really is changing a lot about how,
479
00:26:14,139 --> 00:26:17,642
what organizations can achieve
because of this level of automation.
480
00:26:18,209 --> 00:26:20,879
So, just for gunpowder, I'm
481
00:26:20,879 --> 00:26:24,249
just going to tell you a couple of things
that, we're kind of innovative
482
00:26:24,449 --> 00:26:28,353
that, isn't entirely run by AI,
but is starting to move towards it.
483
00:26:28,353 --> 00:26:31,356
So we have, loads of actors in,
484
00:26:31,690 --> 00:26:35,994
gunpowder and,
they, move, all over the building.
485
00:26:35,994 --> 00:26:39,965
And because we have different people
in each room at each time,
486
00:26:40,632 --> 00:26:43,635
working out where they should go
at any one point is, is tricky.
487
00:26:43,668 --> 00:26:48,406
So we've been using it to try to help us,
work with that control systems.
488
00:26:48,406 --> 00:26:49,441
Like I said, automation.
489
00:26:49,441 --> 00:26:52,177
Gunpowder runs without anybody.
490
00:26:52,177 --> 00:26:57,115
One button is pressed and it goes,
and that's automated, audience tracking.
491
00:26:57,115 --> 00:26:58,249
I'm going to show you.
492
00:26:58,249 --> 00:26:59,851
And in Museum of Shakespeare,
493
00:26:59,851 --> 00:27:04,322
we were looking at, for example,
automating audience digital takeaways.
494
00:27:04,456 --> 00:27:08,994
So, you go in the camera
there, you do something,
495
00:27:08,994 --> 00:27:12,497
you're interacting with something
that, data is then taken away,
496
00:27:12,697 --> 00:27:16,801
AI edits it and packages it off
for you all in an automation.
497
00:27:18,103 --> 00:27:20,372
so, the key innovation in gunpowder.
498
00:27:20,372 --> 00:27:23,908
And you can see here this is our backstage
control system and this,
499
00:27:24,743 --> 00:27:28,179
triggers everything from the audience
movement to the lighting cues.
500
00:27:28,179 --> 00:27:29,481
Everything is automated.
501
00:27:29,481 --> 00:27:32,484
And companies are now using AI to achieve
this, as I said.
502
00:27:32,784 --> 00:27:35,587
And I'm just going to show you
a big benefit of this.
503
00:27:35,587 --> 00:27:39,758
This is, the, spreadsheet we were using
when we started, and it's since been
504
00:27:39,758 --> 00:27:43,762
updated with a lot of this technology,
and this is following one audience group.
505
00:27:43,762 --> 00:27:45,130
So I'm just going to show you it.
506
00:27:45,130 --> 00:27:48,967
So, this is following
the pink one is one audience group.
507
00:27:49,501 --> 00:27:53,438
We had to make a spreadsheet that goes
minute by minute through the entire day.
508
00:27:53,605 --> 00:27:56,274
And you can see the other audience groups
coming in behind them.
509
00:27:56,274 --> 00:27:56,941
Look at this.
510
00:27:56,941 --> 00:27:59,177
This is a made by amazing stage manager.
511
00:27:59,177 --> 00:28:00,211
It was a lot of work.
512
00:28:00,211 --> 00:28:06,184
Now we can automate this so we don't have
to do this type of audience modeling. So
513
00:28:07,252 --> 00:28:07,719
great.
514
00:28:07,719 --> 00:28:10,588
So just on to AI art.
515
00:28:10,588 --> 00:28:15,060
So actual creation of AI art,
which is happening all over the place, is,
516
00:28:15,360 --> 00:28:19,798
really the very pointy end
of where we get the discussion about,
517
00:28:20,131 --> 00:28:24,436
if art only has a value
because of a human intention
518
00:28:24,436 --> 00:28:29,407
sitting behind it, so is art only art
because a human had a particular
519
00:28:29,407 --> 00:28:32,677
intention and emotional impact
they wanted to feel when they made it.
520
00:28:32,844 --> 00:28:35,747
And without that is it art all?
521
00:28:35,747 --> 00:28:38,083
so here
we have the girl with the Pearl earring.
522
00:28:38,083 --> 00:28:41,086
This was out on loan, from The Hague.
523
00:28:41,186 --> 00:28:43,321
and there was a competition to replace it.
524
00:28:43,321 --> 00:28:48,059
And an artist called Julian Van Driessen
created this,
525
00:28:48,460 --> 00:28:51,496
using AI, and everyone went nuts.
526
00:28:52,964 --> 00:28:54,966
which is very controversial.
527
00:28:54,966 --> 00:28:58,870
and, Artnet
called it a justified version of itself.
528
00:28:58,870 --> 00:29:01,539
Don't
know what the translation of that is.
529
00:29:01,539 --> 00:29:06,377
and that was a super
controversial use of AI,
530
00:29:07,445 --> 00:29:10,448
in direct comparison to a piece of art.
531
00:29:10,582 --> 00:29:13,451
there are also
some amazing artists out there.
532
00:29:13,451 --> 00:29:15,720
and if you don't know them,
these are some really brilliant people.
533
00:29:15,720 --> 00:29:18,690
So this is Rafiq and Adam.
534
00:29:20,925 --> 00:29:21,960
When I do arts
535
00:29:21,960 --> 00:29:25,663
since day one,
my intention is to make art for anyone.
536
00:29:26,030 --> 00:29:28,566
Any age, any background, any culture.
537
00:29:28,566 --> 00:29:31,569
And I'm trying
to find the language of humanity.
538
00:29:33,071 --> 00:29:34,472
So just a little clip there of him.
539
00:29:34,472 --> 00:29:38,042
And again, he's very much
using questions of identity.
540
00:29:38,343 --> 00:29:41,012
And also you can see
some of that large LED
541
00:29:41,012 --> 00:29:43,982
technology there in his video.
542
00:29:43,982 --> 00:29:46,951
and this is Mario Klinsmann.
543
00:29:49,320 --> 00:29:51,990
If you hear somebody playing a piano,
544
00:29:51,990 --> 00:29:55,627
would you ever say
ask, is the piano the artist? No.
545
00:29:56,060 --> 00:29:57,829
So same thing here.
546
00:29:57,829 --> 00:30:02,433
Just because it's a complicated mechanism,
it doesn't change the rules.
547
00:30:09,240 --> 00:30:12,210
And memories
of passers by is a machine that I created
548
00:30:12,443 --> 00:30:15,446
that will keep on
549
00:30:15,480 --> 00:30:19,117
generating portraits
of non-existing people
550
00:30:20,518 --> 00:30:22,987
forever.
551
00:30:22,987 --> 00:30:23,655
And there we go.
552
00:30:23,655 --> 00:30:27,158
And you can see here he's starting
a conversation there that we will talk
553
00:30:27,158 --> 00:30:30,161
about in a second about
AI as a collaborator,
554
00:30:30,361 --> 00:30:33,498
not just as,
something separate to the artist.
555
00:30:33,865 --> 00:30:37,202
And this is, a very exciting woman called
556
00:30:37,202 --> 00:30:40,471
Singing Chung, and she is using a headset.
557
00:30:40,471 --> 00:30:43,474
I'm going to play this and talk over it,
so that you can,
558
00:30:43,608 --> 00:30:45,577
it's quite a little bit long.
559
00:30:45,577 --> 00:30:49,881
she's using a headset, and it's
reading her biometric information,
560
00:30:50,281 --> 00:30:55,386
so it's reading her heart rate and the
temperature and how all of those things.
561
00:30:55,386 --> 00:30:58,456
And it's converting it into paint stroke
through these AI,
562
00:30:59,724 --> 00:31:01,860
animated robot arms.
563
00:31:01,860 --> 00:31:05,463
And as the robot arms are doing something
that she likes
564
00:31:05,463 --> 00:31:08,433
or enjoys,
her biometric readings will change.
565
00:31:08,600 --> 00:31:13,738
So she's really in direct conversation
with that robot creating art, which is,
566
00:31:14,973 --> 00:31:16,407
pretty extraordinary way to
567
00:31:16,407 --> 00:31:19,410
try to collaborate with a machine.
568
00:31:19,410 --> 00:31:21,880
so here we go into this hardware.
569
00:31:21,880 --> 00:31:22,780
I'm going to talk about this.
570
00:31:22,780 --> 00:31:25,783
So I an immersive,
571
00:31:25,917 --> 00:31:27,151
creation.
572
00:31:27,151 --> 00:31:30,054
So I'm going to talk a little bit
about what I think's going to happen
573
00:31:30,054 --> 00:31:32,590
and weave in with
some of what's already happening
574
00:31:32,590 --> 00:31:34,392
because it's changing so quickly.
575
00:31:34,392 --> 00:31:35,894
So how is it being used now?
576
00:31:35,894 --> 00:31:38,263
How will it be used? I'm
going to discuss that.
577
00:31:38,263 --> 00:31:41,266
I'm going to talk about idea
generation and collaboration.
578
00:31:42,000 --> 00:31:45,570
and this brings up questions of copyright
and who owns AI generated work,
579
00:31:45,570 --> 00:31:48,573
whether it's the people prompting it
or the thing itself.
580
00:31:48,606 --> 00:31:52,043
The creation of 3D worlds is a huge one,
and I think it's going to change
581
00:31:52,043 --> 00:31:53,511
pretty much everything.
582
00:31:53,511 --> 00:31:56,481
Personalization
is also going to change, a lot
583
00:31:56,481 --> 00:31:59,484
of how we're experiencing,
particularly in the museum sector,
584
00:32:00,151 --> 00:32:04,856
character creation and voice
and image cloning, and then autonomous
585
00:32:04,856 --> 00:32:08,126
characters, characters
that can just exist and talk on their own.
586
00:32:08,927 --> 00:32:11,162
and I want to talk to
you also about accessibility,
587
00:32:11,162 --> 00:32:14,799
because I think this is an under looked
area, a bit of AI, and it's huge.
588
00:32:14,799 --> 00:32:17,802
If you're talking about taking people
into venues, it's massive.
589
00:32:18,636 --> 00:32:19,737
and I'll leave this three
590
00:32:19,737 --> 00:32:22,740
with a little bit of the ethical
and philosophical considerations.
591
00:32:23,541 --> 00:32:26,277
Okay. So idea generation and development.
592
00:32:26,277 --> 00:32:28,112
So I use AI quite a lot
593
00:32:28,112 --> 00:32:31,215
when I'm trying to come up with things
and I'm trying to make images.
594
00:32:31,649 --> 00:32:33,484
and I'm just going
to show you a very basic one.
595
00:32:34,619 --> 00:32:36,187
because I'm trying to ask the question is,
596
00:32:36,187 --> 00:32:39,357
can I be a legitimate creative
collaborator?
597
00:32:40,425 --> 00:32:42,660
and again, this poses
these questions where human
598
00:32:42,660 --> 00:32:45,663
input ends and creation
AI creation begins.
599
00:32:46,064 --> 00:32:47,198
But here we have a cat.
600
00:32:47,198 --> 00:32:49,734
I'm not obsessed with cats
and I'm quite nice.
601
00:32:49,734 --> 00:32:51,769
So I have a cat. But here we have a cat.
602
00:32:51,769 --> 00:32:57,342
So I asked Midjourney to make me
an image of, So here's the prompt.
603
00:32:57,508 --> 00:33:00,745
An immersive exhibition about cats
featuring
604
00:33:00,745 --> 00:33:04,048
a giant cat head that you can walk inside
in a museum setting.
605
00:33:04,048 --> 00:33:06,851
Say you were making something
about a cat, right?
606
00:33:06,851 --> 00:33:08,252
So this image is interesting.
607
00:33:08,252 --> 00:33:11,289
It gives scale, it gives interest,
it gives a sort of feeling.
608
00:33:11,289 --> 00:33:14,292
All this idea might work.
609
00:33:14,292 --> 00:33:16,494
but when you actually look at it,
it doesn't give us the
610
00:33:16,494 --> 00:33:18,196
how doesn't give materiality.
611
00:33:18,196 --> 00:33:20,131
Usability
doesn't give us anything like that.
612
00:33:21,099 --> 00:33:24,202
and so this is a tool, to create very,
very quickly
613
00:33:24,202 --> 00:33:27,872
and very easily an image that communicates
an idea, its concept art.
614
00:33:28,473 --> 00:33:31,309
But so far, none of this is replacing
the humans that I would work with.
615
00:33:31,309 --> 00:33:34,412
It might speed up the process,
but I would still need a 3D design.
616
00:33:34,679 --> 00:33:36,914
the spatial expert builders.
617
00:33:36,914 --> 00:33:39,150
I still need to make my material choices.
618
00:33:39,150 --> 00:33:41,285
Everything that I'd need to do without AI,
619
00:33:41,285 --> 00:33:43,354
and I would need an actual artist
to draw this.
620
00:33:43,354 --> 00:33:46,357
But when you're thinking
about concept artist, that is sticky.
621
00:33:47,125 --> 00:33:50,428
Why would I ask them to spend a week
or a few days drawing this?
622
00:33:50,428 --> 00:33:54,065
Or I can do it in literally 30s
just to exemplify an idea.
623
00:33:55,099 --> 00:33:58,469
this is, very basic,
but this is ChatGPT just,
624
00:33:58,736 --> 00:34:01,572
I object to explain nuclear fusion to me
as if I was a 12 year old.
625
00:34:01,572 --> 00:34:04,409
I wouldn't bother reading it all,
but it's very handy
626
00:34:04,409 --> 00:34:06,177
if there's a concept or something
I don't understand,
627
00:34:06,177 --> 00:34:09,080
and I need to incorporate it
in what I'm doing. Here it is.
628
00:34:10,381 --> 00:34:12,250
And ChatGPT has a stool,
629
00:34:12,250 --> 00:34:15,720
and here you can you
you can see specialized GPT models.
630
00:34:15,953 --> 00:34:18,356
This one was for creating presentations.
631
00:34:18,356 --> 00:34:22,560
And you can see here I asked it to make me
some slides on the future of AI.
632
00:34:23,261 --> 00:34:25,563
So there you go.
633
00:34:25,563 --> 00:34:28,533
and this is Sam Altman from, ChatGPT.
634
00:34:29,100 --> 00:34:33,371
And he's just going to talk about here
how he has used,
635
00:34:33,571 --> 00:34:36,574
been using AI.
636
00:34:38,376 --> 00:34:40,745
Are there use cases that you've
gravitated to?
637
00:34:40,745 --> 00:34:46,250
One surprising is putting my phone
on the table while I'm, like, really?
638
00:34:46,250 --> 00:34:49,454
In the zone of working
and then without having to, like,
639
00:34:49,454 --> 00:34:52,757
change windows or change what I'm doing,
using it just like another channel.
640
00:34:53,224 --> 00:34:56,060
So I'm like, working on something
I would normally like, stop
641
00:34:56,060 --> 00:34:58,196
what I'm doing, switch to another tab,
642
00:34:58,196 --> 00:35:00,331
google
something and click around or whatever.
643
00:35:00,331 --> 00:35:04,001
But while I'm like still doing it to just
ask and get like an instant response
644
00:35:04,502 --> 00:35:05,570
without changing
645
00:35:05,570 --> 00:35:08,573
from what I was looking at on my computer,
that's been a surprisingly cool thing.
646
00:35:08,573 --> 00:35:09,240
So let's talk about.
647
00:35:10,641 --> 00:35:13,144
So, it's worth saying if you
648
00:35:13,144 --> 00:35:16,347
haven't seen the updates from ChatGPT
from last week, they are extraordinary.
649
00:35:16,347 --> 00:35:19,283
So I'm just going to
this is ChatGPT on my phone
650
00:35:19,283 --> 00:35:22,286
and I'm just going to ask him a question.
651
00:35:23,054 --> 00:35:24,422
Hi. I'm currently
652
00:35:24,422 --> 00:35:27,625
doing a presentation on
AI to a roomful of people.
653
00:35:27,992 --> 00:35:30,228
I would really love it
if you could introduce yourself
654
00:35:30,228 --> 00:35:33,798
so you can tell them what ChatGPT for
AI you can do.
655
00:35:34,098 --> 00:35:36,901
Could you say hello to them
and please explain why you're so exciting?
656
00:35:36,901 --> 00:35:39,904
And could you do it in 30s?
657
00:35:42,039 --> 00:35:42,840
Hello everyone!
658
00:35:42,840 --> 00:35:47,645
I'm ChatGPT, a conversational AI built
on the GPT four architecture by OpenAI.
659
00:35:47,678 --> 00:35:52,016
I can help with a wide range of tasks,
from answering questions and explaining
660
00:35:52,016 --> 00:35:56,420
concepts, to assisting with writing
and generating creative content.
661
00:35:56,721 --> 00:36:00,925
What makes me exciting is my ability
to understand and generate human like text
662
00:36:01,058 --> 00:36:03,928
making interactions natural and engaging.
663
00:36:03,928 --> 00:36:04,562
Whether you need.
664
00:36:04,562 --> 00:36:06,264
Help with that, you get the idea.
665
00:36:06,264 --> 00:36:10,001
It's nuts, it's amazing,
and it's really changing so quickly.
666
00:36:10,234 --> 00:36:14,839
That voice is so much better than AI generated voices of even like two months ago.
667
00:36:16,007 --> 00:36:17,875
so back to image creation.
668
00:36:17,875 --> 00:36:20,011
And here this gets a bit stickier
in terms of job loss.
669
00:36:20,011 --> 00:36:22,980
So I asked it
you can see the prompts there.
670
00:36:23,481 --> 00:36:27,552
basically to make cover images
for the Olaf and other stories.
671
00:36:27,952 --> 00:36:30,521
And I mean,
I think these images are very beautiful.
672
00:36:30,521 --> 00:36:32,123
They're very graphic.
They're very evocative.
673
00:36:32,123 --> 00:36:35,126
And I generated them in one minute,
less than a minute.
674
00:36:35,293 --> 00:36:37,361
so what does this mean
for graphic artists,
675
00:36:37,361 --> 00:36:39,997
if you're already established,
probably not too much of an issue.
676
00:36:39,997 --> 00:36:42,066
But if you're starting out or learning
677
00:36:42,066 --> 00:36:45,369
this can draw like this quicker
than you can do in a couple of weeks.
678
00:36:45,369 --> 00:36:48,239
It is. It is problematic.
679
00:36:48,239 --> 00:36:49,607
but there are different sides.
680
00:36:49,607 --> 00:36:52,610
People have a very strong opinions
about AI.
681
00:36:52,843 --> 00:36:53,945
and there's a lot of ways
682
00:36:53,945 --> 00:36:57,515
I can be used collaborator and indeed
that we do use AI as a collaborator.
683
00:36:57,815 --> 00:37:01,152
So image creation
I just showed you for exploring ideas,
684
00:37:01,352 --> 00:37:04,722
sense checking you can put something in it
and just ask it to,
685
00:37:05,389 --> 00:37:07,892
summarize what you said
so you know that, you know,
686
00:37:07,892 --> 00:37:10,861
making sense style changes
I can get it to.
687
00:37:10,995 --> 00:37:13,698
Oh, please. Could you, write me this job,
688
00:37:14,699 --> 00:37:18,369
application
form in the style of this versus this?
689
00:37:18,369 --> 00:37:20,004
I can get it to change it.
690
00:37:20,004 --> 00:37:21,172
imagination prompts.
691
00:37:21,172 --> 00:37:24,175
Please give me some prompts
so I can think about this thing.
692
00:37:24,308 --> 00:37:27,578
Idea,
exploration, roleplaying, story planning.
693
00:37:28,145 --> 00:37:30,815
the roleplaying one is interesting
because I can ask it to pretend
694
00:37:30,815 --> 00:37:35,019
to be an audience member
from any particular background or idea,
695
00:37:35,019 --> 00:37:40,391
and and it can converse with me about,
what their assume their expectations are.
696
00:37:40,658 --> 00:37:44,495
But they all do this question
again of like, who is the creator?
697
00:37:44,729 --> 00:37:46,864
Is it me? Is it the AI?
698
00:37:46,864 --> 00:37:50,401
and I would say mainly at this point, me
because I'm asking it to do something
699
00:37:50,401 --> 00:37:54,839
and then I'm taking it and using it,
but it does lead to some, fine lines.
700
00:37:56,140 --> 00:37:59,710
and one of the arguments, which is pro
AI again, is seeing
701
00:37:59,710 --> 00:38:04,282
AI is a great leveler as a democratization
of access to creative tools.
702
00:38:04,615 --> 00:38:08,219
So, things like AI, video editing software
703
00:38:08,419 --> 00:38:11,188
when I was first starting out
and if I needed to edit a video
704
00:38:11,188 --> 00:38:14,959
that was extremely expensive,
it's difficult to do to film anything.
705
00:38:14,959 --> 00:38:16,794
And then edit it
and probably show my age a bit.
706
00:38:16,794 --> 00:38:19,297
But, now that's very easy.
707
00:38:19,297 --> 00:38:20,331
Anybody can do it.
708
00:38:20,331 --> 00:38:23,334
A game of the art generation music
competition.
709
00:38:23,401 --> 00:38:26,671
composition, production tools, help
with writing
710
00:38:26,804 --> 00:38:29,707
your content, fashion and design software.
711
00:38:29,707 --> 00:38:34,512
So helping you make patterns, for example,
AI driven animation and graphics
712
00:38:34,512 --> 00:38:37,948
and video creation from completely
making a video just for you.
713
00:38:38,316 --> 00:38:42,353
So these are some of the things
that, people are really excited about.
714
00:38:42,953 --> 00:38:45,289
One of the things it's bringing up
is the power of the prompt.
715
00:38:45,289 --> 00:38:48,292
So people who are able to prompt it, well,
I'm making a lot of money.
716
00:38:48,492 --> 00:38:52,163
And again, this is,
that line of who is responsible for
717
00:38:52,163 --> 00:38:55,166
what's coming out the other end of the
of the AI.
718
00:38:55,566 --> 00:38:59,770
and also, you can get this thing,
we can get an AI to prompt an AI.
719
00:38:59,870 --> 00:39:02,873
So you can ask Midjourney,
you can ask ChatGPT prompt.
720
00:39:02,873 --> 00:39:05,409
Midjourney can give you the
best way to make a prompt.
721
00:39:06,577 --> 00:39:08,245
and that
does bring me on to this question,
722
00:39:08,245 --> 00:39:12,183
which I think is a large
philosophical question for the art world.
723
00:39:12,483 --> 00:39:16,854
So what happens
if I uses AI in its data set?
724
00:39:17,555 --> 00:39:20,658
So, I'm calling this the Arborist effect.
725
00:39:20,658 --> 00:39:26,263
I've made up that name, but what, we know
is the AI uses a data set.
726
00:39:26,597 --> 00:39:30,368
And what we're seeing is different types
of AI static from open source
727
00:39:30,368 --> 00:39:32,470
AI image generated.
There's a particular look.
728
00:39:32,470 --> 00:39:37,875
The AI is kind of making, and the internet
is absolutely full with AI images.
729
00:39:37,875 --> 00:39:39,810
You can see them everywhere.
730
00:39:39,810 --> 00:39:43,514
And so sometimes an AI is using another
AI image
731
00:39:43,514 --> 00:39:47,718
to make its image,
and it's deepening this ascetic.
732
00:39:48,018 --> 00:39:49,954
And this is possibly not problematic.
733
00:39:49,954 --> 00:39:53,791
It's probably it is very interesting
because are we heading for
734
00:39:53,791 --> 00:39:57,862
a whole new esthetic,
a whole new look, a whole new art movement
735
00:39:58,095 --> 00:40:02,466
based on AI imagery
that looks like AI imagery.
736
00:40:02,466 --> 00:40:05,136
So people are appreciating
that for itself.
737
00:40:05,136 --> 00:40:07,605
But there is some things
that are really dangerous about it.
738
00:40:07,605 --> 00:40:10,374
So, this is, an image.
739
00:40:10,374 --> 00:40:12,610
I asked it to mate
of an English tutor town.
740
00:40:13,577 --> 00:40:15,880
I don't know how much you know
about English tutor towns.
741
00:40:15,880 --> 00:40:17,748
They do not look like this.
742
00:40:17,748 --> 00:40:21,685
This is like,
the most sort of all the stereotypes
743
00:40:21,685 --> 00:40:24,688
of an English due to town
wraps up in one image.
744
00:40:24,722 --> 00:40:29,894
It's referencing inaccurate, earlier
made eye images and kind of distilling
745
00:40:29,894 --> 00:40:32,897
and proliferating assumptions
of what you to town would look like.
746
00:40:33,230 --> 00:40:35,900
So it's sort of doing
well when we're making
747
00:40:35,900 --> 00:40:40,004
historical, experiences
we call selected authenticity.
748
00:40:40,004 --> 00:40:44,408
Authenticity, which is the idea
that the time or place somebody is
749
00:40:44,608 --> 00:40:48,078
imagining is more present to them
than the reality of what it was like.
750
00:40:48,412 --> 00:40:51,415
And this is a classic example.
751
00:40:51,749 --> 00:40:54,919
and I made one of, Mexico
City in the 1890s.
752
00:40:54,919 --> 00:40:57,455
I know you can tell me, is this accurate?
753
00:40:57,455 --> 00:40:58,823
Other is a
754
00:41:00,391 --> 00:41:03,527
is there anything
in here that might be a bit worrying
755
00:41:03,527 --> 00:41:07,364
about what it's showing
about the type of people, about anything?
756
00:41:08,098 --> 00:41:12,069
you can absolutely,
make your own choices about that.
757
00:41:13,170 --> 00:41:16,106
so, I also wanted to have a quick
758
00:41:16,106 --> 00:41:19,109
look at when people are using
AI to make images.
759
00:41:19,109 --> 00:41:20,444
Some of them are very beautiful.
760
00:41:20,444 --> 00:41:23,314
And the question then arises of,
can AI images
761
00:41:23,314 --> 00:41:27,084
create a genuine
esthetic and emotional response?
762
00:41:27,084 --> 00:41:31,322
And I think the answer has to be yes,
because when you look at AI
763
00:41:31,322 --> 00:41:34,291
and photo realism,
we've got an example of this.
764
00:41:34,558 --> 00:41:37,328
So, this is shoot amnesia.
765
00:41:37,328 --> 00:41:40,064
And this was a photo,
766
00:41:40,064 --> 00:41:43,033
by, the artist Boris Alqasem,
767
00:41:43,033 --> 00:41:46,504
and it won the Sony World
Photography Awards in 2023.
768
00:41:46,904 --> 00:41:48,439
Except it's not a photograph.
769
00:41:48,439 --> 00:41:49,640
It's an AI image.
770
00:41:49,640 --> 00:41:52,543
And it was made by Dall-E two,
which is an image generator.
771
00:41:52,543 --> 00:41:55,546
And he had
he submitted it to expose the world,
772
00:41:55,980 --> 00:41:58,782
that the world of photography
isn't really ready for this technology.
773
00:41:58,782 --> 00:42:00,117
I mean, it's very beautiful.
774
00:42:00,117 --> 00:42:03,654
And we now own image generators
that are more powerful than that.
775
00:42:03,654 --> 00:42:05,356
We are onto Dall-E three, for example.
776
00:42:06,790 --> 00:42:09,793
and, I think it does really open up,
777
00:42:10,027 --> 00:42:13,864
a discourse around, photo realism
and what happens with that.
778
00:42:14,632 --> 00:42:17,635
and so this is one I made in Midjourney,
779
00:42:17,635 --> 00:42:20,938
and the prompt I put in is there
on the side, I won't read it all out.
780
00:42:21,005 --> 00:42:23,741
And it's pretty beautiful,
but it is worth again here.
781
00:42:23,741 --> 00:42:29,213
Talking about bias, I did not specify in
my prompt the ethnicity of that gentleman.
782
00:42:29,680 --> 00:42:32,683
I did specify Paris in the 1990s.
783
00:42:33,117 --> 00:42:35,452
but the fact that it's created him,
784
00:42:35,452 --> 00:42:38,055
a white man is fairly problematic.
785
00:42:38,055 --> 00:42:41,058
I ran it again and again
without specifying Paris.
786
00:42:41,125 --> 00:42:42,960
I tried it,
787
00:42:42,960 --> 00:42:45,930
generating stuff in between to kind of
in case it was referencing
788
00:42:45,930 --> 00:42:47,097
the image it just made.
789
00:42:47,097 --> 00:42:50,100
But it always made this kind of look.
790
00:42:50,901 --> 00:42:54,872
so does that image generator
see white as default?
791
00:42:55,706 --> 00:42:59,610
I don't know, but this is this was seemed
to me slightly problematic.
792
00:43:00,945 --> 00:43:02,012
and then while we're talking
793
00:43:02,012 --> 00:43:05,649
about biases, this has been something
has come out in the last few days.
794
00:43:05,649 --> 00:43:06,584
So what does it mean
795
00:43:06,584 --> 00:43:10,754
for the roles of men and women that the
largest AI in the world, it's released?
796
00:43:11,121 --> 00:43:14,124
it's, ChatGPT has released its,
797
00:43:14,892 --> 00:43:18,462
demonstrations of its current
AI and this is one of the videos
798
00:43:18,462 --> 00:43:21,465
that, it launched it with.
799
00:43:22,600 --> 00:43:25,603
What do you think?
800
00:43:26,337 --> 00:43:27,705
Oh, that's a rocky.
801
00:43:27,705 --> 00:43:30,407
That's quite a statement piece.
802
00:43:30,407 --> 00:43:33,377
I mean, you you'll definitely step out.
803
00:43:33,377 --> 00:43:36,413
So maybe not in the way
you're hoping for it.
804
00:43:36,780 --> 00:43:37,781
Okay, I got it.
805
00:43:37,781 --> 00:43:41,051
What if there's been quite
a lot of criticism across the internet
806
00:43:41,051 --> 00:43:42,486
about that voice?
807
00:43:42,486 --> 00:43:45,356
It's incredibly flirty.
808
00:43:45,356 --> 00:43:46,590
they're all calling it the.
809
00:43:46,590 --> 00:43:49,126
Across the internet. It's been called
the internet's girlfriend.
810
00:43:49,126 --> 00:43:52,863
So as this big, massive company
has, is demonstrating
811
00:43:52,863 --> 00:43:56,300
that AI, they've used that voice on
pretty much all of their demonstrations.
812
00:43:56,533 --> 00:43:59,536
So it's it's showing AI as a helpmeet.
813
00:43:59,703 --> 00:44:03,007
And so what does that say about women's
perceived role in society,
814
00:44:03,240 --> 00:44:06,310
where that guy is pretty egregiously
useless
815
00:44:06,543 --> 00:44:09,913
and he's got a flirty young lady,
kind of correcting his behavior.
816
00:44:10,848 --> 00:44:13,150
So, can I create,
817
00:44:13,150 --> 00:44:17,021
music, create a genuine human, genuine
esthetic response because we are seeing
818
00:44:17,287 --> 00:44:20,791
created music
in a lot of, immersive experiences.
819
00:44:22,126 --> 00:44:25,029
it's, worth noting here that the first bit
820
00:44:25,029 --> 00:44:29,033
of, music
generated from a machine was in 1960.
821
00:44:29,667 --> 00:44:33,170
and it was created on
an IBM using 32kB of memory.
822
00:44:33,170 --> 00:44:35,773
So just imagine what we can do. Now.
823
00:44:35,773 --> 00:44:38,342
This is just a bit of that song
824
00:44:38,342 --> 00:44:40,744
number nine. Not easy.
825
00:44:40,744 --> 00:44:45,382
Alex the kid
Ambassadors, King and Wiz Khalifa.
826
00:44:45,783 --> 00:44:49,586
Well, Not Easy was the first single
released under superstar producer
827
00:44:49,586 --> 00:44:51,321
Alex The Kids though name.
828
00:44:51,321 --> 00:44:56,193
He had some quality collaborators
by his side, such as X ambassadors,
829
00:44:56,193 --> 00:45:00,164
Elle King, Wiz Khalifa and IBM Watson.
830
00:45:00,197 --> 00:45:03,300
Not easy breaking your.
831
00:45:03,300 --> 00:45:08,305
The the superintelligent computer system,
best known for its dominating performance
832
00:45:08,305 --> 00:45:09,139
on jeopardy!
833
00:45:09,139 --> 00:45:12,342
Proved its songwriting prowess
with not easy.
834
00:45:14,111 --> 00:45:17,114
So there you can see them that
went to the top of the charts, I believe.
835
00:45:17,314 --> 00:45:19,850
So I'm going to get on to 3D worlds
and game engines.
836
00:45:19,850 --> 00:45:22,953
We talked a little bit about this earlier,
but this is a massive change.
837
00:45:22,953 --> 00:45:24,722
The AI is changing a lot of things.
838
00:45:24,722 --> 00:45:29,226
So 3D worlds are used in gaming, virtual
production and now cultural experiences.
839
00:45:30,094 --> 00:45:32,396
and I'm going to explain
what this has got to do with AI.
840
00:45:32,396 --> 00:45:33,597
But if you don't know what a 3D world
841
00:45:33,597 --> 00:45:35,499
is, I'll just play you
a little bit of a video game
842
00:45:35,499 --> 00:45:37,668
because it probably
best describes it here.
843
00:45:40,237 --> 00:45:42,206
By two,
844
00:45:42,206 --> 00:45:45,209
the entire Outer Rim really is lawless.
845
00:45:51,882 --> 00:45:52,916
So obviously
846
00:45:52,916 --> 00:45:55,919
all of that is 3D generated world.
847
00:45:56,520 --> 00:45:57,855
I had a couple of other things here.
848
00:45:57,855 --> 00:46:00,157
I'm just going to skip them
because it's used in
849
00:46:00,157 --> 00:46:03,160
lots of different ways,
including selling houses,
850
00:46:03,460 --> 00:46:05,896
and VR experiences.
851
00:46:05,896 --> 00:46:08,365
and this is a little bit of, it
852
00:46:08,365 --> 00:46:11,368
in gunpowder.
853
00:46:11,935 --> 00:46:14,938
A bit dark,
854
00:46:15,139 --> 00:46:17,441
good.
855
00:46:17,441 --> 00:46:19,209
It's a dark knight.
856
00:46:19,209 --> 00:46:21,512
The current strong
857
00:46:21,512 --> 00:46:24,515
guard is on our side.
858
00:46:26,049 --> 00:46:27,718
Jesus.
859
00:46:27,718 --> 00:46:29,253
Smell that?
860
00:46:29,253 --> 00:46:32,322
The Thames is as full of shit
as that stinking king of ours.
861
00:46:33,957 --> 00:46:34,892
Sorry about sorry.
862
00:46:34,892 --> 00:46:36,660
Steady, Percy.
863
00:46:36,660 --> 00:46:38,595
What's that? Cargo.
864
00:46:38,595 --> 00:46:39,930
We need to.
865
00:46:39,930 --> 00:46:43,500
Okay, so you can see that's a
fully 3D world that we've created for it.
866
00:46:43,500 --> 00:46:46,036
And it is being used in all kinds
of immersive experiences.
867
00:46:46,036 --> 00:46:48,672
This is, our tech house in Miami.
868
00:46:48,672 --> 00:46:50,340
This is Italia de Lumina.
869
00:46:57,648 --> 00:46:59,583
Is nice.
870
00:46:59,583 --> 00:47:02,586
Oh, okay.
871
00:47:02,586 --> 00:47:03,620
Okay.
872
00:47:03,620 --> 00:47:06,723
I was sold an hour, so it
873
00:47:08,192 --> 00:47:09,860
it is.
874
00:47:09,860 --> 00:47:11,395
Okay, fine.
875
00:47:11,395 --> 00:47:12,896
Whatever works for you. Yeah. Thank you.
876
00:47:12,896 --> 00:47:15,899
Should I just wait?
877
00:47:16,066 --> 00:47:18,435
And say goodbye to the world?
878
00:47:18,435 --> 00:47:19,336
Okay.
879
00:47:19,336 --> 00:47:22,339
Yeah.
880
00:47:22,906 --> 00:47:25,909
Sorry about that, guys. Is.
881
00:47:27,511 --> 00:47:29,246
On board.
882
00:47:29,246 --> 00:47:32,249
Is is that interruption?
883
00:47:33,250 --> 00:47:35,185
for you to,
884
00:47:35,185 --> 00:47:38,188
like, you know, on television and,
885
00:47:39,323 --> 00:47:42,326
kind of describe it.
886
00:47:43,093 --> 00:47:46,897
Demos of surrender,
the una manera absolutamente intense.
887
00:47:47,598 --> 00:47:49,233
Pero a when I lost tiempo.
888
00:47:49,233 --> 00:47:53,971
Say that there isn't much claro
si e tenemos una manera.
889
00:47:55,105 --> 00:47:57,741
para la compania.
890
00:47:57,741 --> 00:47:59,243
Gracias.
891
00:47:59,243 --> 00:48:01,478
Aqui.
892
00:48:01,478 --> 00:48:03,447
Vamos a seguir
893
00:48:03,447 --> 00:48:05,048
es un minuto. And.
894
00:48:05,048 --> 00:48:11,021
Okay, if this video was mission
e seguimos contigo, you know that.
895
00:48:11,054 --> 00:48:14,057
I mean, like, in the cookie preguntas
896
00:48:14,458 --> 00:48:16,159
para la vida.
897
00:48:16,159 --> 00:48:17,127
Various.
898
00:48:17,127 --> 00:48:20,864
Yet tengo algunas is a performance
you're going to see
899
00:48:22,065 --> 00:48:23,233
in those videos.
900
00:48:23,233 --> 00:48:26,236
The moon. Okay there that is what I use.
901
00:48:26,570 --> 00:48:29,573
which is gracias e a
902
00:48:29,640 --> 00:48:31,341
total esta festival cake.
903
00:48:31,341 --> 00:48:34,544
Ludo something. Yes. E okay. Yes.
904
00:48:34,811 --> 00:48:37,814
Para GMT, which is guys.
905
00:48:39,182 --> 00:48:40,817
Okay.
906
00:48:40,817 --> 00:48:42,252
sorry about that.
907
00:48:42,252 --> 00:48:43,320
I'm not sure how to listen.
908
00:48:43,320 --> 00:48:46,089
I'm sorry if I feel like I'm going on bit,
I will speed up.
909
00:48:46,089 --> 00:48:47,357
It's easy in a lot of places.
910
00:48:47,357 --> 00:48:49,493
Since you have skipped.
911
00:48:49,493 --> 00:48:51,561
so what has I got to do this?
912
00:48:51,561 --> 00:48:55,933
Well, wishing that, I can fill
in the blanks of this digital world.
913
00:48:56,433 --> 00:49:00,070
So where you've got a 3D world
that's made, I can now
914
00:49:00,103 --> 00:49:04,541
make it entirely on its own
and can make these world itself from.
915
00:49:05,242 --> 00:49:08,445
So, this means these world
can essentially go on
916
00:49:08,445 --> 00:49:11,882
forever and ever and ever,
and they can change in real time.
917
00:49:13,383 --> 00:49:16,119
this is just, a little video,
918
00:49:16,119 --> 00:49:19,890
of just a very free and easy world
that you can see.
919
00:49:20,223 --> 00:49:23,327
There's a prompt there
that I put in around Steampunk City,
920
00:49:23,827 --> 00:49:26,964
and you can see that
the AI has just created an entire world.
921
00:49:27,631 --> 00:49:31,168
And if I wanted to go down those streets,
which, I did because I was using the free
922
00:49:31,168 --> 00:49:35,472
version, you could and this could go on
literally forever and ever and ever.
923
00:49:36,974 --> 00:49:39,409
so what if this can be done
instantaneously?
924
00:49:39,409 --> 00:49:40,510
for individuals?
925
00:49:40,510 --> 00:49:46,249
What if I can, create a 3D world for you
personally when you're in an experience
926
00:49:46,249 --> 00:49:48,618
because it's something
you want to experience.
927
00:49:48,618 --> 00:49:51,455
This gives a huge artistic, infinite,
928
00:49:51,455 --> 00:49:54,791
explorable digital world dynamism
in the creation of these worlds.
929
00:49:54,791 --> 00:49:55,993
And remember, we adapt.
930
00:49:55,993 --> 00:49:59,429
We change more than we hear something
that's the same.
931
00:49:59,496 --> 00:50:02,165
And it would allow us
for full personalization.
932
00:50:02,165 --> 00:50:06,403
Everything from adding your name in it
to having it completely change
933
00:50:06,470 --> 00:50:11,041
depending on your mood for what
you, how you're behaving in this space.
934
00:50:12,175 --> 00:50:12,843
but there are some
935
00:50:12,843 --> 00:50:15,846
problems around this where these with AI,
936
00:50:15,979 --> 00:50:20,617
the level of, power needed to do this
for processing power.
937
00:50:20,617 --> 00:50:21,752
You say massive.
938
00:50:21,752 --> 00:50:23,854
It, it's pretty ecological.
939
00:50:23,854 --> 00:50:25,822
Unsustainable at the moment.
940
00:50:25,822 --> 00:50:28,425
and so that's like a problem with people.
941
00:50:28,425 --> 00:50:30,861
one of the reason it's not happening
as much as you would like.
942
00:50:30,861 --> 00:50:32,729
And also prompt.
943
00:50:32,729 --> 00:50:36,633
So I'm just going to talk about character
creation, voice and face cloning.
944
00:50:37,567 --> 00:50:41,605
and at the minute we do this by just using
facial capture and body capture.
945
00:50:42,472 --> 00:50:45,542
we do volumetric, which I'll show you what
that is on green screen
946
00:50:45,542 --> 00:50:47,411
and put it into our experiences.
947
00:50:47,411 --> 00:50:50,747
And here's
Tom Felton, in one of our shoots,
948
00:50:51,481 --> 00:50:55,585
and we put him into our digital space
by putting on one of this,
949
00:50:55,585 --> 00:50:59,623
which is a volumetric capture stage
with cameras on each one of those arms.
950
00:50:59,823 --> 00:51:03,060
They create a fully 3D model of him,
and he's inserted
951
00:51:03,060 --> 00:51:06,063
into the digital world
so we can capture his performance.
952
00:51:06,530 --> 00:51:10,834
and this is, him, coming onto the set.
953
00:51:12,502 --> 00:51:13,170
who doesn't play?
954
00:51:13,170 --> 00:51:16,173
I will skip it. Like, it doesn't matter.
955
00:51:16,773 --> 00:51:18,708
Go on to this.
956
00:51:18,708 --> 00:51:20,977
this is a little bit of him performing.
957
00:51:20,977 --> 00:51:22,879
Going that.
958
00:51:22,879 --> 00:51:25,015
And so everything will be captured
959
00:51:25,015 --> 00:51:28,018
from the movement of his, costume.
960
00:51:28,218 --> 00:51:32,255
Everything that's him
will be put into the 3D world.
961
00:51:33,323 --> 00:51:37,127
But what you can see by
this is why not put me and Tom together?
962
00:51:38,128 --> 00:51:40,664
what you can see by this,
and this is a smaller way
963
00:51:40,664 --> 00:51:44,501
to do it as well,
with a, when you're doing, NPC characters.
964
00:51:44,835 --> 00:51:46,736
And this is me, my mum.
965
00:51:46,736 --> 00:51:49,773
but what you can see from
this is the production timeline is heavy.
966
00:51:49,840 --> 00:51:52,576
It's very difficult.
It takes ages, is expensive.
967
00:51:52,576 --> 00:51:55,378
And, when you want to put a face
in as well,
968
00:51:55,378 --> 00:51:56,746
this is how you normally do it.
969
00:51:56,746 --> 00:51:59,149
You take lots of faces, pictures
of someone's face,
970
00:51:59,149 --> 00:52:01,051
and lots of different angles.
971
00:52:01,051 --> 00:52:03,053
you make a C, a model,
972
00:52:03,053 --> 00:52:06,690
and then you put a headset on somebody,
them or someone else.
973
00:52:06,823 --> 00:52:10,494
You capture the movement of their face
and then you animate their face like this.
974
00:52:11,695 --> 00:52:14,431
Hi, I'm
Zoe, and I'd like to take you on a journey
975
00:52:14,431 --> 00:52:18,602
as we create the next generation
of realistic digital humans.
976
00:52:19,202 --> 00:52:22,205
Every last detail of Zoe, me.
977
00:52:22,606 --> 00:52:23,073
Great.
978
00:52:23,073 --> 00:52:24,774
So you get the idea.
979
00:52:24,774 --> 00:52:27,310
but, now we have this.
980
00:52:27,310 --> 00:52:29,312
So this is, Hang on.
981
00:52:29,312 --> 00:52:31,882
I'll just let you watch it.
982
00:52:31,882 --> 00:52:34,017
But you know what I decided to do?
983
00:52:34,017 --> 00:52:37,020
I decided to focus
984
00:52:37,020 --> 00:52:41,391
all my attention,
all my time on listening.
985
00:52:41,391 --> 00:52:44,761
So instead of doing something else,
I just listened.
986
00:52:44,861 --> 00:52:46,963
Listened and listened.
987
00:52:46,963 --> 00:52:50,467
Because I'm a true believer
that if you're really bad at something
988
00:52:50,467 --> 00:52:54,137
like listening, for example,
it only shows you that, hey,
989
00:52:54,271 --> 00:52:57,240
you have to practice listening
as much as you can't.
990
00:52:58,275 --> 00:53:00,377
So that came introduce Fasa.
991
00:53:00,377 --> 00:53:04,181
A framework for generating lifelike
talking faces with appealing,
992
00:53:04,181 --> 00:53:05,849
visual, effective skills.
993
00:53:05,849 --> 00:53:07,584
Given a single static image.
994
00:53:07,584 --> 00:53:10,287
Well and a speaker to get off that.
But that's essentially what it is.
995
00:53:10,287 --> 00:53:14,024
It's taken one image, one photo,
and it's animated.
996
00:53:14,024 --> 00:53:14,991
That face that's going.
997
00:53:14,991 --> 00:53:17,527
To come on, you know what I decided to do?
998
00:53:17,527 --> 00:53:18,862
oh my goodness.
999
00:53:18,862 --> 00:53:21,298
Right. Go back. Right.
1000
00:53:23,033 --> 00:53:23,266
yeah.
1001
00:53:23,266 --> 00:53:26,269
So what is a silly thing? There we go.
1002
00:53:26,536 --> 00:53:30,240
So what it's done is taken one photo,
and that one photo has,
1003
00:53:30,540 --> 00:53:33,743
being able to animate
it has condensed months of,
1004
00:53:33,910 --> 00:53:35,912
production process
into a very quick process.
1005
00:53:35,912 --> 00:53:36,613
Not perfect yet.
1006
00:53:36,613 --> 00:53:40,650
Still a bit uncanny valley
there, but it's changing the entire way.
1007
00:53:40,650 --> 00:53:41,818
We're going to be able to do that.
1008
00:53:41,818 --> 00:53:46,323
So in terms of creating, characters
that talk to you in a digital world,
1009
00:53:46,523 --> 00:53:49,626
that's completely being overthrown by AI.
1010
00:53:50,393 --> 00:53:52,229
and how is this being used?
1011
00:53:52,229 --> 00:53:57,400
So there's a new, show coming out
in London, about Elvis and it's farming,
1012
00:53:57,400 --> 00:54:03,540
all of the data of Elvis that's available
and creating an AI version of Elvis.
1013
00:54:03,740 --> 00:54:05,842
And he's going to be able to interact.
1014
00:54:05,842 --> 00:54:07,244
And that's nuts.
1015
00:54:07,244 --> 00:54:10,447
We've also got ABBA, we've got Roy
Orbison is doing this.
1016
00:54:10,647 --> 00:54:13,650
And we have now also de-aging technology.
1017
00:54:14,251 --> 00:54:16,019
and I'll just play
you a little bit of this.
1018
00:54:16,953 --> 00:54:19,122
This is more than just a Snapchat filter.
1019
00:54:19,122 --> 00:54:20,757
It's called deepfake technology.
1020
00:54:20,757 --> 00:54:23,193
And it's how Harrison Ford
was made to look 40 years younger.
1021
00:54:23,193 --> 00:54:24,961
And the new film Indiana Jones five,
1022
00:54:24,961 --> 00:54:28,231
and how the film's budget hit
almost $300 million.
1023
00:54:28,231 --> 00:54:30,066
Let's take a look
at how this process works
1024
00:54:30,066 --> 00:54:32,102
and why they decided to do this
for Indy five,
1025
00:54:32,102 --> 00:54:34,971
starting with the fact
that Harrison Ford is now 80 years old,
1026
00:54:34,971 --> 00:54:36,906
which some people argue is too old
to continue
1027
00:54:36,906 --> 00:54:39,042
playing a leading role
in an action adventure movie.
1028
00:54:39,042 --> 00:54:42,279
But first, you might be wondering
what is deepfake technology?
1029
00:54:42,279 --> 00:54:45,515
And the basic answer is that it's a way
of using artificial intelligence
1030
00:54:45,515 --> 00:54:47,651
to manipulate images and videos of people,
1031
00:54:47,651 --> 00:54:49,686
making them
look or sound like someone else.
1032
00:54:49,686 --> 00:54:53,590
The term deepfake comes from combining
deep learning and fake, as deep
1033
00:54:53,590 --> 00:54:55,992
learning is a type of machine
learning that uses neural networks
1034
00:54:55,992 --> 00:54:58,261
to learn from data
and generate realistic outputs.
1035
00:54:58,261 --> 00:55:01,731
Deepfake technology can be used for
various purposes such as entertainment,
1036
00:55:01,731 --> 00:55:04,768
education,
journalism, or even malicious intent.
1037
00:55:05,702 --> 00:55:08,371
Okay, so you can
see there's a lot of problems with that.
1038
00:55:08,371 --> 00:55:12,175
He's saying
they're about, malicious, intent.
1039
00:55:12,509 --> 00:55:15,278
So one of the issues we have
is consent and privacy, like,
1040
00:55:15,278 --> 00:55:18,014
whose face is being used by
who to do what.
1041
00:55:18,014 --> 00:55:21,985
And if you don't have any control over it,
what is that doing to the world?
1042
00:55:21,985 --> 00:55:24,387
And if we don't know
if someone's real or not,
1043
00:55:24,387 --> 00:55:27,290
what is that doing to our understanding
of the planet as a whole?
1044
00:55:27,290 --> 00:55:31,294
So, using, someone's face of AI,
cloning someone's face
1045
00:55:31,294 --> 00:55:32,762
and doing a deepfake of them
1046
00:55:32,762 --> 00:55:36,199
has been seen in various ways
to be changing political stance
1047
00:55:36,266 --> 00:55:37,133
across the world.
1048
00:55:37,133 --> 00:55:40,904
being put out all over Facebook,
for example, intellectual property rights.
1049
00:55:40,904 --> 00:55:44,341
So there's a lot of problem around
who owns the right to that work
1050
00:55:44,341 --> 00:55:47,243
if I'm in it.
But I didn't make it loss of jobs.
1051
00:55:47,243 --> 00:55:49,446
So obviously, for me,
1052
00:55:49,446 --> 00:55:52,282
if they don't need me
to direct facial capture or performance
1053
00:55:52,282 --> 00:55:54,951
capture anymore because I can do it
very quickly with an AI,
1054
00:55:54,951 --> 00:55:56,920
what does that mean for my job,
for example?
1055
00:55:56,920 --> 00:55:58,688
So cultural misappropriation.
1056
00:55:58,688 --> 00:56:01,257
So sometimes using AI to,
1057
00:56:03,960 --> 00:56:05,528
to clone the faces
1058
00:56:05,528 --> 00:56:09,265
of people from different,
ethical backgrounds, what does that mean?
1059
00:56:09,399 --> 00:56:12,602
And then this rather brilliant term,
digital necromancy,
1060
00:56:12,669 --> 00:56:16,673
where you are animating
somebody's likeness after they have died.
1061
00:56:17,440 --> 00:56:20,410
So, this is Morgan Freeman.
1062
00:56:20,410 --> 00:56:21,511
It's just really extraordinary.
1063
00:56:21,511 --> 00:56:22,812
So I'm just going to play a tiny touch,
1064
00:56:22,812 --> 00:56:24,514
and then I will speed up
because I'm understanding.
1065
00:56:24,514 --> 00:56:26,583
Maybe I'm not a freeman.
1066
00:56:26,583 --> 00:56:29,219
And what you see is not real.
1067
00:56:29,219 --> 00:56:32,922
Well, at least in contemporary terms,
it is not.
1068
00:56:33,823 --> 00:56:36,893
What if I were to tell you
that I'm not even a human being?
1069
00:56:38,595 --> 00:56:39,763
So there he is.
1070
00:56:39,763 --> 00:56:42,432
So, one of the things that this is now
bringing
1071
00:56:42,432 --> 00:56:44,401
forth is fully autonomous characters.
1072
00:56:44,401 --> 00:56:47,871
So characters that can behave, interact,
do anything they want, all on their own.
1073
00:56:48,405 --> 00:56:51,141
And, we are seeing this,
this has been in games for a bit.
1074
00:56:51,141 --> 00:56:54,377
If you play games, you'll know some of
the NPCs kind of react on their own.
1075
00:56:54,377 --> 00:56:57,480
Anyway, that's a slightly different type
of AI because we're now
1076
00:56:57,480 --> 00:57:00,750
getting these fully interactive
digital characters.
1077
00:57:01,317 --> 00:57:04,487
and Disney Imagineering
is leading the charge on making them also
1078
00:57:04,521 --> 00:57:08,858
physical and AI is allowing
full personalization of these characters.
1079
00:57:09,058 --> 00:57:11,861
And we even have AI
now that can read your facial expressions
1080
00:57:11,861 --> 00:57:12,762
so they can react
1081
00:57:12,762 --> 00:57:16,433
emotionally to the input, the output that
you're giving literally from your face.
1082
00:57:17,066 --> 00:57:19,469
So here we have,
1083
00:57:19,469 --> 00:57:22,472
this is one this guy made in his house.
1084
00:57:22,605 --> 00:57:24,374
this is, very low fi.
1085
00:57:24,374 --> 00:57:25,442
And you can see that
1086
00:57:25,442 --> 00:57:27,677
if somebody could do this in their house
is pretty extraordinary.
1087
00:57:31,681 --> 00:57:33,583
Okay, we're recording.
1088
00:57:33,583 --> 00:57:38,388
Brother Gepetto, can you tell our viewers
on TikTok what all this is about?
1089
00:57:39,022 --> 00:57:40,490
Of course, my child.
1090
00:57:40,490 --> 00:57:43,827
I am an artificial intelligence
manifesting as an old Christian monk.
1091
00:57:44,160 --> 00:57:47,831
And I'm here talking to this wonderful
person by this beautiful pond at sunset.
1092
00:57:48,565 --> 00:57:52,368
We are using new technologies
to enable our conversation, allowing me
1093
00:57:52,368 --> 00:57:56,172
to understand what the player is saying
and to give a voice to my thoughts.
1094
00:57:58,308 --> 00:58:00,343
Okay, so I'm just going to skip him.
1095
00:58:00,343 --> 00:58:03,346
There's another one of him
where he gives us a lovely little,
1096
00:58:03,746 --> 00:58:06,883
look into his, personal
like thoughts on the world.
1097
00:58:06,950 --> 00:58:09,953
I'm just going to show you
this one from Disney Imagineering.
1098
00:58:35,945 --> 00:58:39,082
So if that ran at me in a park,
I would run the other way.
1099
00:58:39,816 --> 00:58:43,686
So, now we have, from the Dali Museum
in Saint Petersburg.
1100
00:58:43,686 --> 00:58:46,322
In Florida,
they have a Dali that you can speak to.
1101
00:58:48,291 --> 00:58:49,926
For years,
1102
00:58:49,926 --> 00:58:55,598
people have attempted to understand
my work, trying to find meaning
1103
00:58:55,598 --> 00:59:00,803
in this real, to make sense of the dreams
of a historic genius.
1104
00:59:01,337 --> 00:59:03,940
But how can anyone possibly know
1105
00:59:03,940 --> 00:59:07,410
what is inside
the burning mind of Salvador Dali?
1106
00:59:08,044 --> 00:59:10,613
No. They simply cannot.
1107
00:59:10,613 --> 00:59:13,283
They are mere mortal human beings.
1108
00:59:13,283 --> 00:59:16,286
But now I can tell you.
1109
00:59:16,452 --> 00:59:20,256
Introducing Ask Dali
an audio experience powered
1110
00:59:20,256 --> 00:59:24,260
by AI and machine
learning that allows you to talk to me.
1111
00:59:25,061 --> 00:59:27,931
Hey, so that's pretty extraordinary.
1112
00:59:27,931 --> 00:59:30,099
So just on to personalization.
1113
00:59:30,099 --> 00:59:32,635
So we have, had this whole movement
towards
1114
00:59:32,635 --> 00:59:35,638
personalization
across everywhere for a long time.
1115
00:59:35,638 --> 00:59:36,806
You do it on your phone.
1116
00:59:36,806 --> 00:59:39,842
Everything's
personalized to you, in your games.
1117
00:59:40,643 --> 00:59:45,281
and I, really does allow personalization
on, on a, on a whole new scale.
1118
00:59:46,049 --> 00:59:48,151
and we have personalization
even in the live arena.
1119
00:59:48,151 --> 00:59:51,220
So you will be used to things
like seeing this, the Disney Magic
1120
00:59:51,220 --> 00:59:54,290
Band, where you can create
your own experiences around the park.
1121
00:59:55,291 --> 00:59:55,725
its facial
1122
00:59:55,725 --> 00:59:59,429
recognition is being used now
so that we can have personalization
1123
00:59:59,562 --> 01:00:02,565
being created from,
you just walking into a space
1124
01:00:02,565 --> 01:00:07,503
and it can data from your history
and create, the experience just for you.
1125
01:00:07,837 --> 01:00:11,341
We have digital postcards and things
like this, which is the Art lens app,
1126
01:00:11,774 --> 01:00:14,777
at the Cleveland Museum of Art,
which allows you to collect,
1127
01:00:15,278 --> 01:00:18,815
all the imagery you want and create
your own kind of museum experience.
1128
01:00:19,148 --> 01:00:22,051
We have wristbands like this
Taylor Swift concert,
1129
01:00:22,051 --> 01:00:25,688
which, is allowing personalization
physically on your own body.
1130
01:00:26,022 --> 01:00:29,192
We have this is in the British Museum,
where you can look at,
1131
01:00:29,692 --> 01:00:32,996
item and spin it around and zoom in on it
and do what you want.
1132
01:00:33,930 --> 01:00:37,634
and this is, at Teamlab in Tokyo,
and it's where kids can draw a picture
1133
01:00:37,634 --> 01:00:42,038
of an animal, and then it's uploaded,
and then their anatomically incorrect
1134
01:00:42,038 --> 01:00:45,708
animal can play around with the other kids
animals in the space.
1135
01:00:46,476 --> 01:00:51,314
and here we have a whole museum, which is,
by Paul O'Donnell, an extraordinary us.
1136
01:00:51,481 --> 01:00:52,115
And essentially,
1137
01:00:52,115 --> 01:00:56,819
this data farms your data backwards
and creates an exhibition just about you.
1138
01:00:57,387 --> 01:01:00,423
So when we then looking at data,
1139
01:01:00,657 --> 01:01:03,326
personalization and AI,
what can we do with it?
1140
01:01:03,326 --> 01:01:05,328
These are a few of the things we can do
with it.
1141
01:01:05,328 --> 01:01:06,396
Facial recognition
1142
01:01:06,396 --> 01:01:10,333
and biometric readings, as we've already
seen, can can change the experience.
1143
01:01:10,333 --> 01:01:13,436
As you were walking through an experience
or museum,
1144
01:01:13,603 --> 01:01:16,472
we can have the AR overlays that are made
just for you.
1145
01:01:16,472 --> 01:01:18,541
Maybe you showed an interest
in this thing.
1146
01:01:18,541 --> 01:01:20,209
This one will appear for you.
1147
01:01:20,209 --> 01:01:22,145
You could see yourself in the past.
1148
01:01:22,145 --> 01:01:24,447
We could take an image of any one of you.
1149
01:01:24,447 --> 01:01:27,583
It could go in the eye,
can create a 3D model of you.
1150
01:01:27,583 --> 01:01:29,419
It could see you when you were a child.
1151
01:01:29,419 --> 01:01:32,522
You could see you in 40 years,
and you could even talk to yourself.
1152
01:01:32,855 --> 01:01:34,323
You could talk to your own voice.
1153
01:01:34,323 --> 01:01:37,326
Your own voice could lead you
through a museum experience.
1154
01:01:38,094 --> 01:01:40,797
you could find out
what might happen to you in the future.
1155
01:01:40,797 --> 01:01:44,667
We could see, an image of you
or a whole display of you.
1156
01:01:44,667 --> 01:01:46,469
Or you could even meet you.
1157
01:01:46,469 --> 01:01:49,439
in the future, you could see yourself
talking to Morgan Freeman.
1158
01:01:49,439 --> 01:01:50,940
You could be any character you want.
1159
01:01:50,940 --> 01:01:53,943
Essentially,
you can change the story for you only,
1160
01:01:54,143 --> 01:01:57,346
and you can interact
with any character on the planet.
1161
01:01:57,647 --> 01:02:01,784
And we can create 3D world, change
just for you and your group.
1162
01:02:01,951 --> 01:02:05,388
So say that, you're going through and,
1163
01:02:05,788 --> 01:02:07,690
that you're an older group
and there's a younger group.
1164
01:02:07,690 --> 01:02:10,693
We can change the experience
directly for you.
1165
01:02:11,294 --> 01:02:13,763
if we wanted to,
when we get rid of some of these
1166
01:02:13,763 --> 01:02:17,133
ethical considerations about power, etc.,
that's what's happening.
1167
01:02:17,567 --> 01:02:20,970
So just to talk about
I think, and accessibility and
1168
01:02:20,970 --> 01:02:23,439
this is a bit of a hobby horse of mine,
I think it's really important.
1169
01:02:23,439 --> 01:02:27,076
It makes a lot of difference
to a lot of people because AI is making
1170
01:02:27,076 --> 01:02:31,681
automatic audio guides, text to speech,
closed captioning and translation,
1171
01:02:31,848 --> 01:02:35,518
voice and gesture controls,
personalized accessibility assistance,
1172
01:02:35,752 --> 01:02:40,289
and even predicting accessibility models
so that we can change experiences
1173
01:02:40,289 --> 01:02:41,657
before we even make them.
1174
01:02:41,657 --> 01:02:44,894
Because we've got better understanding
of how audience groups work.
1175
01:02:45,661 --> 01:02:48,731
and I know I'm close on time,
but this is a really extraordinary,
1176
01:02:49,098 --> 01:02:50,867
thing that just showed last.
1177
01:02:50,867 --> 01:02:52,602
Week at the moment.
1178
01:02:52,602 --> 01:02:55,838
Yes, it looks like
the King is in residence right now.
1179
01:02:56,439 --> 01:02:59,675
The Royal Standard flag is flying
above Buckingham Palace,
1180
01:02:59,675 --> 01:03:02,678
which is the signal
that the monarch is present.
1181
01:03:02,945 --> 01:03:05,948
How exciting to be there
while the king is home.
1182
01:03:05,982 --> 01:03:08,518
Try and tell me exactly what they're
doing right now, please.
1183
01:03:09,519 --> 01:03:10,186
Right now the
1184
01:03:10,186 --> 01:03:13,189
ducks are gently gliding across the water.
1185
01:03:13,222 --> 01:03:16,692
They're moving in a fairly relaxed manner,
not in a hurry.
1186
01:03:17,260 --> 01:03:20,396
Occasionally one of them will take a cut
under the water,
1187
01:03:20,930 --> 01:03:21,931
probably looking for food.
1188
01:03:21,931 --> 01:03:26,068
And later in that video, he even uses
that app to hail a cab in real time.
1189
01:03:26,569 --> 01:03:28,638
So lastly, this is a last section.
1190
01:03:28,638 --> 01:03:29,806
Everything everywhere.
1191
01:03:29,806 --> 01:03:30,807
All at once.
1192
01:03:30,807 --> 01:03:33,609
What can we do with all this promise?
1193
01:03:33,609 --> 01:03:37,713
just a few of mine when I was thinking
about this is just some suggestions.
1194
01:03:38,514 --> 01:03:41,551
so I started thinking
about the National Museum of Anthropology.
1195
01:03:41,784 --> 01:03:46,022
I started thinking about what
an AI powered digital experience might be.
1196
01:03:46,155 --> 01:03:48,991
So before your visit,
you could download a mobile app.
1197
01:03:48,991 --> 01:03:50,860
You can register when you get there.
1198
01:03:50,860 --> 01:03:55,665
You can have an AI tool guide,
personalized recommendations, interactive
1199
01:03:55,665 --> 01:04:00,069
maps, augmented reality artifacts
that are personalized to you.
1200
01:04:00,803 --> 01:04:03,906
Audio guide is massively
is completely integrated.
1201
01:04:04,040 --> 01:04:07,043
You can have interactive digital,
quizzes and challenges,
1202
01:04:07,043 --> 01:04:09,745
and we can change these
for children and adults.
1203
01:04:09,745 --> 01:04:13,182
We can have real time translation
and everything all built in.
1204
01:04:13,182 --> 01:04:15,284
And then when you leave,
this can all be packaged up
1205
01:04:15,284 --> 01:04:17,987
and everything you've done in the museum
can be sent to you afterwards.
1206
01:04:17,987 --> 01:04:19,455
We can have a responsive,
1207
01:04:19,455 --> 01:04:22,859
responsive digital journey
entirely dependent on your choices.
1208
01:04:23,092 --> 01:04:25,728
We could meet an ancestor
in a hologram form.
1209
01:04:25,728 --> 01:04:28,431
You could fly through Mexico City
pretty much.
1210
01:04:28,431 --> 01:04:29,599
However you want.
1211
01:04:29,599 --> 01:04:32,602
That's definitely enough data
on the internet to do that right now.
1212
01:04:32,969 --> 01:04:34,704
you can have a room where you can go
1213
01:04:34,704 --> 01:04:37,707
to different parts of Mexico
and meet the inhabitants.
1214
01:04:37,740 --> 01:04:40,743
and if you want to make this around
storytelling,
1215
01:04:40,743 --> 01:04:44,180
you can have facial scanning for,
I was thinking about the film Coco.
1216
01:04:44,780 --> 01:04:47,783
and you could have as you go
in, we take your face.
1217
01:04:48,284 --> 01:04:49,952
and then we personalize everything
for you,
1218
01:04:49,952 --> 01:04:52,255
go through
all the characters, can say hi to you.
1219
01:04:52,255 --> 01:04:55,358
We could create live 3D worlds
of land of the forgotten,
1220
01:04:55,358 --> 01:04:58,461
and we could base them on your personal
and emotional experience
1221
01:04:58,861 --> 01:05:01,831
so they could be emotionally
driven to you.
1222
01:05:01,931 --> 01:05:05,434
we could have your face in the photograph
so you can be one of his ancestors.
1223
01:05:05,434 --> 01:05:07,870
We can create all the locations in AI
1224
01:05:07,870 --> 01:05:10,539
and we can have
AI powered emotional resonance.
1225
01:05:10,539 --> 01:05:13,542
So how you want to put it all together.
1226
01:05:13,743 --> 01:05:16,379
So in conclusion, what is creativity?
1227
01:05:16,379 --> 01:05:18,614
Is AI a tool, a creator in itself?
1228
01:05:18,614 --> 01:05:21,083
Are we collaborating
or are we being replaced?
1229
01:05:21,083 --> 01:05:23,853
Is there value in AI esthetics and styles?
1230
01:05:23,853 --> 01:05:26,289
Is human endeavor inherently valuable?
1231
01:05:26,289 --> 01:05:29,125
And what is artificial and what is art?
1232
01:05:29,125 --> 01:05:31,360
Creativity is forever changed.
1233
01:05:31,360 --> 01:05:33,362
Is it for better? Is it for worse?
1234
01:05:33,362 --> 01:05:35,197
Is this a cultural revolution?
1235
01:05:35,197 --> 01:05:38,067
I would say yes,
but the rest is over to you.
1236
01:05:38,067 --> 01:05:38,668
Thank you.
1237
01:05:51,914 --> 01:05:52,381
Gracias.
1238
01:05:52,381 --> 01:05:55,151
Good night.
1239
01:05:55,151 --> 01:05:57,153
gelatin is pretty something.
1240
01:05:57,153 --> 01:06:00,156
The animals. but.
1241
01:06:00,423 --> 01:06:02,758
But Kenya para para respuestas.
1242
01:06:02,758 --> 01:06:05,761
And then it was one that's super.
1243
01:06:06,262 --> 01:06:11,734
I, are you ready with the,
1244
01:06:12,268 --> 01:06:15,271
Yeah, I.
1245
01:06:15,304 --> 01:06:17,940
Okay.
1246
01:06:17,940 --> 01:06:20,943
I yes.
1247
01:06:22,712 --> 01:06:24,947
Thank you so much.
1248
01:06:24,947 --> 01:06:25,448
Hannah.
1249
01:06:25,448 --> 01:06:27,750
Hi. Hi.
1250
01:06:27,750 --> 01:06:30,286
I'm a mathematician
and philosopher of science,
1251
01:06:30,286 --> 01:06:33,289
and I'm also interested in literature.
1252
01:06:33,389 --> 01:06:38,227
So I was wondering if you have
any examples of creative writing,
1253
01:06:38,227 --> 01:06:43,399
for instance, a novel
that has been written using AI that has,
1254
01:06:43,399 --> 01:06:46,669
you know, become a published book
and maybe a best seller?
1255
01:06:47,403 --> 01:06:50,172
I don't know if we are going yet
in that path,
1256
01:06:50,172 --> 01:06:54,176
but for instance, this, work, you
you showed that work.
1257
01:06:54,443 --> 01:06:56,946
That won. This, world.
1258
01:06:56,946 --> 01:06:58,581
photography award.
1259
01:06:58,581 --> 01:07:01,584
Well, it kind of goes away. Yeah.
Thank you.
1260
01:07:01,717 --> 01:07:06,722
so I don't know of any novels, but,
there is a bit of a problem on, Amazon
1261
01:07:06,722 --> 01:07:09,425
and other places like that
was self-published because of things like,
1262
01:07:09,425 --> 01:07:10,693
recipe books, for example.
1263
01:07:11,660 --> 01:07:12,862
and there's a lot of,
1264
01:07:12,862 --> 01:07:16,766
things that are more factually based
like that, that are, coming out.
1265
01:07:17,500 --> 01:07:19,468
there was a talk,
I can't remember who it's called.
1266
01:07:19,468 --> 01:07:22,872
I'd have to I'd have to send it to you
about a children's book.
1267
01:07:23,672 --> 01:07:27,610
and, also, there's graphic novels
that people are creating with it
1268
01:07:27,610 --> 01:07:32,948
because they can use, obviously
the image generator with, with the text.
1269
01:07:33,149 --> 01:07:36,185
So we're seeing that
I don't think we've got a full novel yet,
1270
01:07:36,185 --> 01:07:39,188
but I wouldn't be surprised.
1271
01:07:40,623 --> 01:07:43,626
all gracias por por
1272
01:07:44,393 --> 01:07:47,396
el festival.
1273
01:07:48,164 --> 01:07:48,898
infanticide.
1274
01:07:48,898 --> 01:07:52,635
UN poco sobre la cuestion de la, Attica.
1275
01:07:54,003 --> 01:07:55,271
Aqui mismo in Instagram.
1276
01:07:55,271 --> 01:07:58,274
Festival intervention and Requiem.
1277
01:07:58,307 --> 01:08:01,844
The Mozart European artificial
1278
01:08:02,078 --> 01:08:06,415
Como herramienta es maravilloso
la misma abierta.
1279
01:08:06,749 --> 01:08:10,619
Pero si e no no dividend.
1280
01:08:10,619 --> 01:08:14,156
You got a tanto in the sentido
de affected a la O'Brien. See
1281
01:08:15,324 --> 01:08:18,327
a la sensibility de
1282
01:08:18,828 --> 01:08:23,099
camp and es sentido en un lado un poquito.
1283
01:08:23,699 --> 01:08:26,702
I do, I do seria to to
1284
01:08:27,703 --> 01:08:30,706
Los a Los procesos methodology course
1285
01:08:31,207 --> 01:08:35,277
a narratives a is densest
1286
01:08:35,811 --> 01:08:38,280
multidisciplinary interdisciplinary goes
1287
01:08:38,280 --> 01:08:41,283
definitivamente token
1288
01:08:41,784 --> 01:08:45,187
la sensibility that a e alto
1289
01:08:45,488 --> 01:08:48,491
humano cuesta.
1290
01:08:50,025 --> 01:08:53,028
Ahora another sentido através de trabajo
1291
01:08:53,863 --> 01:08:56,632
incluido immersive
1292
01:08:56,632 --> 01:08:59,635
El inteligencia artificial
1293
01:08:59,802 --> 01:09:02,805
estas okay tensor o Como esta
1294
01:09:04,440 --> 01:09:08,511
interest casa de lo natural del organic co
1295
01:09:09,612 --> 01:09:12,781
la inteligencia artificial in Los chicos.
1296
01:09:17,586 --> 01:09:19,121
so currently
1297
01:09:19,121 --> 01:09:22,124
I don't use it to make narrative.
1298
01:09:22,191 --> 01:09:25,060
and I don't think it's shown yet
1299
01:09:25,060 --> 01:09:28,531
that it can do that
in the way that we can do that.
1300
01:09:30,032 --> 01:09:32,701
I definitely believe
that we have to embrace
1301
01:09:32,701 --> 01:09:36,972
AI because it's here
and, it's not going to go away.
1302
01:09:37,206 --> 01:09:40,209
But I think the question
you're raising about ethics is,
1303
01:09:40,843 --> 01:09:43,612
really big because we don't have
1304
01:09:43,612 --> 01:09:46,749
structures or laws or really,
1305
01:09:47,716 --> 01:09:48,651
any kind of rules
1306
01:09:48,651 --> 01:09:51,654
in place across, AI in general.
1307
01:09:51,720 --> 01:09:55,024
And I think the technology is outstripping
1308
01:09:55,024 --> 01:09:58,227
our ability to, legislate it.
1309
01:09:58,527 --> 01:10:01,363
And I think that's,
I think that's a really big issue
1310
01:10:01,363 --> 01:10:04,366
in terms of making stories.
1311
01:10:04,500 --> 01:10:08,637
I use it as I've shown
for sort of elements of it,
1312
01:10:08,804 --> 01:10:12,641
and I think we're going to be able
to see it creating, like I'm saying,
1313
01:10:12,641 --> 01:10:15,844
these amazing 3D worlds
and all the things I find very exciting,
1314
01:10:16,111 --> 01:10:20,983
but I still think that we're going
to have to set the story and understand
1315
01:10:21,250 --> 01:10:24,253
what that story is
before we use any of it.
1316
01:10:25,254 --> 01:10:28,691
so, yeah, I mean, I think I'm still hoping
1317
01:10:29,024 --> 01:10:32,027
that my jobs are intact.
1318
01:10:34,930 --> 01:10:38,400
Hi. I have a video game
two related question.
1319
01:10:39,134 --> 01:10:43,439
do you think that NPCs AI at some point,
1320
01:10:44,206 --> 01:10:48,410
get more consciousness in their actions,
even though they're not double
1321
01:10:48,410 --> 01:10:51,614
up to be the main, protagonist
of the stories?
1322
01:10:52,281 --> 01:10:56,685
kind of like what happens to Ryan Reynolds
character in this movie, free guy.
1323
01:10:56,819 --> 01:10:59,822
Do you think that we will reach
to that point?
1324
01:11:00,089 --> 01:11:00,322
Yeah.
1325
01:11:00,322 --> 01:11:03,726
So, you, if you play games,
you know that there's already
1326
01:11:03,726 --> 01:11:06,962
and PC characters, but they exist
within a kind of small model.
1327
01:11:08,097 --> 01:11:09,231
I think it could be.
1328
01:11:09,231 --> 01:11:13,068
It could be that they make characters
that are sort of infinite.
1329
01:11:13,669 --> 01:11:16,171
it would it would depend at this point
on the data set
1330
01:11:16,171 --> 01:11:19,174
and what the input is
and how the, how they're making them.
1331
01:11:19,942 --> 01:11:22,244
I think probably we will I can't see
1332
01:11:22,244 --> 01:11:25,247
why they wouldn't
explore that at some point.
1333
01:11:25,581 --> 01:11:28,584
and if they can generate,
1334
01:11:28,617 --> 01:11:32,388
characters, the, the can populate worlds
and then, you know, repeat them
1335
01:11:32,388 --> 01:11:35,824
in other worlds, it's sort of economies
of scale as well, I think.
1336
01:11:35,824 --> 01:11:38,827
I think it will definitely happen.
1337
01:11:39,361 --> 01:11:44,366
if there are like, some games
that are already using sort of not
1338
01:11:44,366 --> 01:11:48,570
I don't know if they're AI entirely,
but they sort of game engine AI, already.
1339
01:11:48,570 --> 01:11:51,240
So I think it's sort of probably
a natural step.
1340
01:11:51,240 --> 01:11:51,573
Yeah.
1341
01:11:58,681 --> 01:12:01,016
But Alana soy may I?
1342
01:12:01,016 --> 01:12:03,619
Most cars are available to the on TV.
1343
01:12:03,619 --> 01:12:07,256
My screen can ambiental
and this can portray
1344
01:12:08,090 --> 01:12:11,093
conocimiento content content entities.
1345
01:12:12,261 --> 01:12:14,396
Como sopranos Mexico Como
1346
01:12:14,396 --> 01:12:18,667
algunas otras Suarez el mundo
ion actresses por la seguridad
1347
01:12:18,701 --> 01:12:21,704
Erika Espero q no se caso into police.
1348
01:12:22,471 --> 01:12:24,473
actor
1349
01:12:24,473 --> 01:12:27,009
el tratamento de la Delaware, Idaho.
1350
01:12:27,009 --> 01:12:30,379
El impacto commissioners el inteligencia
artificial de su potential por una
1351
01:12:30,846 --> 01:12:34,249
cultural Como la aplicacion
de la inteligencia artificial
1352
01:12:34,450 --> 01:12:37,453
in Castillo administration, the recursos
1353
01:12:37,920 --> 01:12:40,556
in entertainment
de la cooperatively in comunidades
1354
01:12:40,556 --> 01:12:45,227
vulnerables
UK residents in in in artificial consider
1355
01:12:45,227 --> 01:12:48,964
areas applicable D-Bus
para estos desafios in the
1356
01:12:50,132 --> 01:12:52,267
y Como podemos integral in proyectos
1357
01:12:52,267 --> 01:12:55,270
in interactors or settlement communities.
1358
01:12:55,270 --> 01:12:58,273
Vulnerables.
1359
01:12:59,808 --> 01:13:01,977
Okay, so I'll go back to saying
1360
01:13:01,977 --> 01:13:04,980
I'm not an AI technician.
1361
01:13:05,814 --> 01:13:08,650
but, I think this goes to the area
1362
01:13:08,650 --> 01:13:13,722
we were talking about process and
programs because almost all,
1363
01:13:14,957 --> 01:13:16,592
programs or
1364
01:13:16,592 --> 01:13:20,796
items that take a long time,
anything that needs a lot of analysis,
1365
01:13:20,796 --> 01:13:25,067
anything that needs a lot of, process
to drive, it can be,
1366
01:13:26,602 --> 01:13:29,505
changed and updated with AI.
1367
01:13:29,505 --> 01:13:34,443
I think you would need to speak
to somebody who understands how to program
1368
01:13:34,443 --> 01:13:38,547
AI for that kind of output,
but I would presume
1369
01:13:38,547 --> 01:13:41,817
that you could input all kinds of data
1370
01:13:41,817 --> 01:13:44,820
and anything you wanted analyzed in it.
1371
01:13:45,421 --> 01:13:48,724
and you could create all kinds
of automation across,
1372
01:13:49,057 --> 01:13:51,727
any processes that you're doing.
1373
01:13:51,727 --> 01:13:54,663
I know that, a lot of AI is being used,
1374
01:13:54,663 --> 01:13:57,633
for example, in the medical world,
1375
01:13:57,866 --> 01:14:00,869
to process
huge amounts of information and,
1376
01:14:01,203 --> 01:14:04,239
even, even in diagnostic testing.
1377
01:14:04,873 --> 01:14:09,244
so I'm assuming that
that type of automation could be applied
1378
01:14:09,244 --> 01:14:11,079
across what you do.
1379
01:14:11,079 --> 01:14:14,850
But again, I'm not a tech, technologist.
1380
01:14:15,184 --> 01:14:17,186
but thank you very much for coming.
1381
01:14:17,186 --> 01:14:20,823
It's lovely that some of your expertise,
which would come and listen to me.
1382
01:14:20,823 --> 01:14:21,523
So thank you very much.
1383
01:14:24,693 --> 01:14:26,995
I keep
1384
01:14:26,995 --> 01:14:29,998
still to see that those you
1385
01:14:30,966 --> 01:14:34,536
executed is in my interior Fisica.
1386
01:14:35,170 --> 01:14:37,573
Oh, is it,
1387
01:14:37,573 --> 01:14:40,742
is it trabaja instituto theoretical.
1388
01:14:41,143 --> 01:14:43,045
The physical
1389
01:14:43,045 --> 01:14:43,946
is public.
1390
01:14:43,946 --> 01:14:46,849
A city that is most dificil.
1391
01:14:46,849 --> 01:14:49,852
I think that maybe someone else.
1392
01:14:51,587 --> 01:14:54,590
Between these two with,
1393
01:14:55,257 --> 01:14:56,792
An inner city.
1394
01:14:56,792 --> 01:14:59,294
You've become incontinent.
1395
01:14:59,294 --> 01:15:01,296
No, no. No.
1396
01:15:01,296 --> 01:15:01,663
Pool.
1397
01:15:01,663 --> 01:15:06,134
It reduces lattice after, like they.
1398
01:15:09,004 --> 01:15:10,873
It was until Santos.
1399
01:15:10,873 --> 01:15:13,375
the kitchen equipment,
1400
01:15:13,375 --> 01:15:16,378
the maestro de fisica. I.
1401
01:15:19,648 --> 01:15:21,383
I don't think that's me.
1402
01:15:21,383 --> 01:15:25,554
But how does some people see service keys?
1403
01:15:25,587 --> 01:15:28,490
Lattice. Don't worry, don't work.
1404
01:15:28,490 --> 01:15:28,924
There's some.
1405
01:15:28,924 --> 01:15:31,593
There's loads of kind of prices
in, in England.
1406
01:15:31,593 --> 01:15:34,129
I'm sorry.
1407
01:15:34,129 --> 01:15:37,132
It's.
1408
01:15:37,232 --> 01:15:38,901
Hello.
1409
01:15:38,901 --> 01:15:41,904
what can. I.
1410
01:15:42,971 --> 01:15:45,574
Plant for my area?
1411
01:15:45,574 --> 01:15:47,676
Fleshy sealant. Delicious.
1412
01:15:47,676 --> 01:15:49,478
Artificial
1413
01:15:49,478 --> 01:15:52,481
solar.
1414
01:15:54,316 --> 01:15:57,319
yes. at the moment,
1415
01:15:57,452 --> 01:16:02,491
no, it's a difficult question
because it, can do things.
1416
01:16:02,491 --> 01:16:04,293
It has been asked to do.
1417
01:16:04,293 --> 01:16:08,730
And so to take
it can take what you've asked it to do
1418
01:16:08,730 --> 01:16:12,634
and work out other tasks
from what you've asked it to do.
1419
01:16:12,968 --> 01:16:15,437
But at the moment they don't function.
1420
01:16:15,437 --> 01:16:19,675
They don't just start up
and do things entirely on their own,
1421
01:16:20,042 --> 01:16:23,378
because that would be
when we're moving up to different types of
1422
01:16:23,579 --> 01:16:26,915
AI at the moment,
they still need human input
1423
01:16:27,215 --> 01:16:31,219
and they still need, humans to sort of
start them off.
1424
01:16:31,520 --> 01:16:34,222
But, because we have AI
1425
01:16:34,222 --> 01:16:38,727
that works on the neural networks,
they can understand
1426
01:16:38,727 --> 01:16:43,165
tasks that you might want them
to do and run in the background
1427
01:16:43,165 --> 01:16:47,903
of a lot of things, but they don't
sort of just start on their own,
1428
01:16:48,870 --> 01:16:50,405
at the moment,
1429
01:16:50,405 --> 01:16:53,408
which is probably good.
1430
01:16:54,209 --> 01:16:57,212
Thank you very much.
1431
01:16:57,512 --> 01:17:00,482
are you.
1432
01:17:01,483 --> 01:17:04,486
Yes. Of course.
1433
01:17:05,420 --> 01:17:06,254
yeah.
1434
01:17:06,254 --> 01:17:08,223
Very excellent. Gentlemen, colleagues.
1435
01:17:08,223 --> 01:17:09,091
Any difficulties?
1436
01:17:09,091 --> 01:17:14,196
Took us real rate, though, but I have to
see a lot of maestros in Colombo.
1437
01:17:14,529 --> 01:17:17,265
Christian de la
inteligencia, artificial pensando
1438
01:17:17,265 --> 01:17:20,268
de la gamification.
1439
01:17:25,440 --> 01:17:27,776
Gamification.
1440
01:17:27,776 --> 01:17:31,847
Oh, so I think there's
quite a lot of challenges for
1441
01:17:31,847 --> 01:17:36,184
I think universities actually
is a big area where this is a problem.
1442
01:17:36,184 --> 01:17:36,785
And I'm sure
1443
01:17:36,785 --> 01:17:39,788
you guys probably know a lot more than me
about how you're dealing with,
1444
01:17:40,856 --> 01:17:42,624
students using I am
1445
01:17:42,624 --> 01:17:45,627
what they're allowed to use
and not allowed to use.
1446
01:17:46,461 --> 01:17:48,897
I think there's some massive benefits.
1447
01:17:48,897 --> 01:17:52,868
for example, my niece, is studying for her
degree at Pret.
1448
01:17:52,868 --> 01:17:57,539
Not it's great for her GCSEs,
which is she's 16, and, she was talking
1449
01:17:57,539 --> 01:18:02,544
to, ChatGPT and asking you questions,
and it's helping her learn things.
1450
01:18:02,544 --> 01:18:04,279
And I think that's a massive benefit.
1451
01:18:04,279 --> 01:18:08,950
But I think when it comes to
then testing and essays and things, we're
1452
01:18:08,950 --> 01:18:13,588
going to have to find in lots of places
a kind of different language
1453
01:18:13,922 --> 01:18:18,827
of how we, are approaching
AI in learning institutions.
1454
01:18:19,361 --> 01:18:23,331
I think when you get into sort
of professional scenarios
1455
01:18:23,565 --> 01:18:29,504
through one of the downsides is that,
when when you're coming up, you tend to do
1456
01:18:29,671 --> 01:18:34,776
sort of tasks that are maybe
seem a bit menial, but they do things like
1457
01:18:35,777 --> 01:18:37,379
establish your taste
1458
01:18:37,379 --> 01:18:41,049
or, what you think about certain things.
1459
01:18:41,049 --> 01:18:45,387
Like I spent a long time at one job
sorting through types of video clips
1460
01:18:45,387 --> 01:18:47,189
that they wanted to use, and from that
1461
01:18:47,189 --> 01:18:52,394
I learned a lot about my own ideas
about what I thought was good.
1462
01:18:52,627 --> 01:18:55,430
And I think those kind of tasks
are going to be difficult for
1463
01:18:55,430 --> 01:18:59,167
young people to, like, have ways to learn.
1464
01:18:59,167 --> 01:19:02,170
But there are different ways
to learn with AI.
1465
01:19:02,270 --> 01:19:05,874
would you be able to just tell me
what you mean by the gamified version?
1466
01:19:05,874 --> 01:19:06,541
Because I understand
1467
01:19:06,541 --> 01:19:09,745
what gamification means, but I am not sure
I understand the question.
1468
01:19:10,879 --> 01:19:14,483
Okay, well, leads us to.
1469
01:19:22,858 --> 01:19:24,960
Let's go to the first question.
1470
01:19:24,960 --> 01:19:28,663
Do you cuando nos Hugo's para
para promover
1471
01:19:28,864 --> 01:19:33,502
aprendizaje digamos
de conquista the Historia.
1472
01:19:33,502 --> 01:19:37,405
And on de Los portas de Tomas material
1473
01:19:37,405 --> 01:19:41,009
historico Como lo going power to the
1474
01:19:42,010 --> 01:19:42,544
historico
1475
01:19:42,544 --> 01:19:45,547
to be stackable scarce
and that is mysterious.
1476
01:19:45,547 --> 01:19:48,450
Miguel sal pasado la realidad
1477
01:19:48,450 --> 01:19:52,754
is a transformative munition
apprenticeship for students.
1478
01:19:52,754 --> 01:19:54,356
Bank Como se ve strong?
1479
01:19:54,356 --> 01:19:56,992
Come on, come on, come on,
1480
01:19:56,992 --> 01:19:59,995
I say vessel de la
1481
01:20:00,095 --> 01:20:03,098
el Hugo para promover aprendizaje.
1482
01:20:03,965 --> 01:20:06,902
Yeah, well, with a gunpowder plot,
1483
01:20:06,902 --> 01:20:10,105
we were asked to make sure
it had a learning,
1484
01:20:11,173 --> 01:20:12,741
that it did educate.
1485
01:20:12,741 --> 01:20:18,046
So, as we were making it, that set
the kind of tone
1486
01:20:18,480 --> 01:20:23,218
when I'm making something I usually start
with, like the central idea.
1487
01:20:23,885 --> 01:20:26,288
And the central idea of that was,
1488
01:20:26,288 --> 01:20:29,457
can violence for a cause ever
be justified?
1489
01:20:29,858 --> 01:20:32,761
So we knew that was the central question.
1490
01:20:32,761 --> 01:20:35,931
and that was the central thing
we wanted the audience to understand.
1491
01:20:36,198 --> 01:20:40,468
And then we knew we were making something
educational, but also in attraction.
1492
01:20:40,702 --> 01:20:43,805
We knew we wanted it to be dark
and moody or whatever.
1493
01:20:43,972 --> 01:20:48,143
So we set ourselves a bunch of tasks
of that with the learning element.
1494
01:20:48,343 --> 01:20:51,513
It it changed how we structured everything
1495
01:20:51,880 --> 01:20:55,083
because we knew
we wanted this central question to be,
1496
01:20:55,984 --> 01:21:00,455
what the audience and the quite
a lot of young people would go away with.
1497
01:21:00,722 --> 01:21:03,825
We even structured
the first half of the entire experience
1498
01:21:04,092 --> 01:21:07,362
with, two scenes pro
1499
01:21:07,562 --> 01:21:10,632
The Crown, two scenes pro the plot.
1500
01:21:11,433 --> 01:21:14,169
and that meant that as you were going
through it, you very much
1501
01:21:14,169 --> 01:21:17,239
learned
the two sides of that historical problem.
1502
01:21:17,505 --> 01:21:21,376
And then by the time you get to
the interval, you're asked
1503
01:21:21,676 --> 01:21:23,178
which way you want to go.
1504
01:21:23,178 --> 01:21:25,747
Do you want to side with the plot
and blow up Parliament?
1505
01:21:25,747 --> 01:21:27,148
Do you want to side with the King?
1506
01:21:27,148 --> 01:21:30,018
But that means persecution continues.
1507
01:21:30,018 --> 01:21:33,021
and when you later
you would ask an audience what they
1508
01:21:33,188 --> 01:21:38,059
remember and learn, they,
they would remember a lot, like a lot of
1509
01:21:38,059 --> 01:21:42,197
the actual historical detail of the plot
that they didn't know they would remember.
1510
01:21:42,197 --> 01:21:43,932
And it's because they were
1511
01:21:43,932 --> 01:21:48,036
we had structured the experience
to kind of force them to engage
1512
01:21:48,303 --> 01:21:51,573
up to the point where they had to answer
a very difficult question.
1513
01:21:52,407 --> 01:21:56,311
and I think that is how
we were using gamification
1514
01:21:56,611 --> 01:22:00,181
in that process in order to make sure
that they were engaged
1515
01:22:00,181 --> 01:22:03,385
every step of their journey
with that central question,
1516
01:22:03,551 --> 01:22:07,522
but also with all the historical facts
that make that central question relevant.
1517
01:22:07,889 --> 01:22:09,658
Does that make sense to hear?
1518
01:22:11,760 --> 01:22:15,363
Hi. is there anything you can tell us
about opera.
1519
01:22:15,363 --> 01:22:16,531
And classical music?
1520
01:22:16,531 --> 01:22:19,634
Not about composing
or staging it with some.
1521
01:22:19,634 --> 01:22:23,638
Oh, do know things about that,
but about enjoying the performance,
1522
01:22:23,638 --> 01:22:26,741
attending a performance, the
the actual experience
1523
01:22:26,942 --> 01:22:29,945
of a classical music concert
or performance.
1524
01:22:30,545 --> 01:22:32,047
what in relation to I.
1525
01:22:32,047 --> 01:22:35,050
Yeah, sure. Of course I related to them.
1526
01:22:35,050 --> 01:22:38,820
I mean, I was just trying to think of ones
that are using it.
1527
01:22:39,120 --> 01:22:43,058
I know there's a lot more use of,
some of the technologies I showed you.
1528
01:22:43,959 --> 01:22:46,261
there was a staging in Basel.
1529
01:22:46,261 --> 01:22:47,762
I think it was.
1530
01:22:47,762 --> 01:22:51,700
I'd have to look it up in maybe in Aida,
but they had, massive giant,
1531
01:22:52,467 --> 01:22:55,470
fully changeable digital staging.
1532
01:22:56,404 --> 01:22:59,441
which I think would be
it is a step forward, like,
1533
01:23:00,342 --> 01:23:03,478
in terms of using technology
with, with opera.
1534
01:23:03,478 --> 01:23:06,715
I mean, I love opera and classical music,
and I think they be
1535
01:23:06,748 --> 01:23:09,050
they will be affected in the same way.
1536
01:23:09,050 --> 01:23:09,818
All of these,
1537
01:23:10,852 --> 01:23:11,920
types of,
1538
01:23:11,920 --> 01:23:16,524
all of this art is being affected
because there's a much grander appetite
1539
01:23:16,524 --> 01:23:19,527
for the use of technology
across the board.
1540
01:23:20,528 --> 01:23:21,663
I don't know.
1541
01:23:21,663 --> 01:23:24,799
I think if I was going to think
about making an opera,
1542
01:23:24,799 --> 01:23:29,204
I might think about using the Ambisonics
sound stuff.
1543
01:23:29,204 --> 01:23:32,774
I think it'd be very interesting
to hear some of that music
1544
01:23:32,774 --> 01:23:35,777
kind of all around.
1545
01:23:36,311 --> 01:23:38,013
but I'm not I'm not an expert
1546
01:23:38,013 --> 01:23:41,916
on either of those areas,
so I'd have to go and pick it up.
1547
01:23:41,916 --> 01:23:46,221
But I think they're being affected
in the same way a lot.
1548
01:23:46,221 --> 01:23:48,957
Lots of it has been affected. Thanks.
1549
01:23:48,957 --> 01:23:51,526
Okay. Yeah, yeah.
1550
01:23:51,526 --> 01:23:54,996
Well, it's the
and when it's done, automatically.
1551
01:23:56,264 --> 01:23:59,234
So you might still be able
to see the signal.
1552
01:23:59,234 --> 01:24:01,069
So investigador también.
1553
01:24:01,069 --> 01:24:03,838
Yeah. They just announced this thing when
1554
01:24:03,838 --> 01:24:06,841
and only to laboratorio
de realidad visual.
1555
01:24:06,875 --> 01:24:07,742
Right. If I
1556
01:24:08,877 --> 01:24:11,212
tell him that then
1557
01:24:11,212 --> 01:24:14,449
what he must prevent has been basicamente
seria estados.
1558
01:24:15,483 --> 01:24:16,985
You can. Talk. Afterwards.
1559
01:24:16,985 --> 01:24:18,653
Si. No. Yeah. Yeah.
1560
01:24:18,653 --> 01:24:20,221
Okay. Todas las preguntas.
1561
01:24:20,221 --> 01:24:23,191
Because he said finally to exposicion
his own interesante interesantes.
1562
01:24:24,025 --> 01:24:26,094
Yes or no secret. Okay, okay.
1563
01:24:26,094 --> 01:24:29,397
Inteligencia artificial es una revolution
cultural Como el e
1564
01:24:29,931 --> 01:24:33,568
de las industrias aspecto e Jose State
1565
01:24:34,102 --> 01:24:38,239
tarea implement instancia se rescue
Los Los medios invisibles.
1566
01:24:39,274 --> 01:24:43,311
but necesito alguna Los medios
Como Los momentos
1567
01:24:44,012 --> 01:24:48,049
e and segundo
lugar is a cake on psychosis.
1568
01:24:48,083 --> 01:24:50,218
The idea is
1569
01:24:50,218 --> 01:24:52,921
Los Estudiantes can stand in glissando,
1570
01:24:52,921 --> 01:24:56,057
todo mundo de Los Medios in Mercyhurst,
1571
01:24:56,091 --> 01:24:59,094
Como el.
1572
01:25:00,695 --> 01:25:02,197
so I do think
1573
01:25:02,197 --> 01:25:05,200
immersive storytelling as a genre.
1574
01:25:05,200 --> 01:25:09,003
So not just VR, but the entire use of
1575
01:25:09,571 --> 01:25:12,874
immersion
in storytelling is not going away.
1576
01:25:12,874 --> 01:25:15,410
That seems to be a very big appetite
for it.
1577
01:25:15,410 --> 01:25:18,346
And also, especially post-pandemic.
1578
01:25:19,581 --> 01:25:20,415
there's been just
1579
01:25:20,415 --> 01:25:24,152
a much bigger, appetite for technologies
used.
1580
01:25:24,152 --> 01:25:25,420
Like I was saying to the gentleman
1581
01:25:25,420 --> 01:25:29,057
who asked about classical music,
but of course, lots of different genres.
1582
01:25:30,024 --> 01:25:33,027
actually, I've just thought of something,
1583
01:25:33,294 --> 01:25:35,430
that when he was asking
about classical, actually,
1584
01:25:35,430 --> 01:25:38,433
I went to a piano concert
and they were using,
1585
01:25:38,967 --> 01:25:41,970
generated faces of the pianists,
1586
01:25:42,203 --> 01:25:44,973
in, in various part,
I had to look it up for you, but
1587
01:25:44,973 --> 01:25:48,243
they were using AI generated faces of her
through the age.
1588
01:25:48,510 --> 01:25:50,278
as part of her, presentation.
1589
01:25:50,278 --> 01:25:54,315
But anyway, so I do think immersive is,
absolutely part
1590
01:25:54,315 --> 01:25:57,318
and parcel now,
and I think it's partly because,
1591
01:25:58,353 --> 01:26:01,823
AI and other technologies is becoming more
and more and more accessible.
1592
01:26:01,990 --> 01:26:05,960
So all kinds of genres are starting to
go, okay, well, we can use,
1593
01:26:07,061 --> 01:26:08,163
technology like
1594
01:26:08,163 --> 01:26:10,165
it's only in the last few years,
people have been saying to me,
1595
01:26:10,165 --> 01:26:12,834
oh, we want to make an immersive museum,
for example.
1596
01:26:12,834 --> 01:26:15,837
And the first time someone said that
to me, there was, I mean, you know,
1597
01:26:16,337 --> 01:26:19,741
and then now, that,
that that comes up a lot,
1598
01:26:20,041 --> 01:26:23,011
a lot of the cultural institutions
in the UK and Europe,
1599
01:26:23,011 --> 01:26:26,881
also going to a museum in Finland,
for example, saying we want to use
1600
01:26:26,881 --> 01:26:30,351
immersive technologies,
alongside our collections or
1601
01:26:31,052 --> 01:26:34,055
and we want to create an experience
for the audience that's,
1602
01:26:34,923 --> 01:26:35,857
immersive.
1603
01:26:35,857 --> 01:26:38,860
So I think that those technologies
are not going anywhere.
1604
01:26:39,561 --> 01:26:40,562
and I think that's good.
1605
01:26:40,562 --> 01:26:44,666
I think it gives people more of an access
to all kinds of stories,
1606
01:26:44,866 --> 01:26:48,770
and they can understand it in ways
and feel it in ways they maybe wouldn't.
1607
01:26:49,003 --> 01:26:50,138
from more traditional,
1608
01:26:51,272 --> 01:26:53,541
museums, for example.
1609
01:26:53,541 --> 01:26:56,544
I think, when it comes to VR,
1610
01:26:57,278 --> 01:27:00,281
I don't know if VR is going to get
1611
01:27:01,216 --> 01:27:03,017
I think now we see some of the more
1612
01:27:03,017 --> 01:27:05,887
accessible headsets and some of the more,
1613
01:27:05,887 --> 01:27:08,990
accessible things
like Google Glass and stuff, maybe.
1614
01:27:08,990 --> 01:27:13,027
But I think it still feels like
there's a bit of a jump.
1615
01:27:13,027 --> 01:27:14,929
People have a bit of,
1616
01:27:14,929 --> 01:27:17,665
it's almost like a technology
or a technological
1617
01:27:17,665 --> 01:27:20,802
leap to do to get them interested in VR.
1618
01:27:20,802 --> 01:27:24,505
I think people feel that there's a barrier
because of that thing,
1619
01:27:25,006 --> 01:27:26,808
and the kind of stuff.
1620
01:27:26,808 --> 01:27:29,611
And I think
people find that a bit of a barrier.
1621
01:27:29,611 --> 01:27:34,782
So I don't know how we're if that's
going to become more and more mainstream.
1622
01:27:34,983 --> 01:27:36,117
It seems to go through phases.
1623
01:27:36,117 --> 01:27:38,186
And I'm sure you know that better than me.
1624
01:27:38,186 --> 01:27:41,122
The sort of phases of how well it's used.
1625
01:27:42,490 --> 01:27:43,291
but personally, I
1626
01:27:43,291 --> 01:27:46,861
think that, AI is very exciting.
1627
01:27:47,262 --> 01:27:49,197
I don't think it's going anywhere.
1628
01:27:49,197 --> 01:27:52,700
And I think we should embrace it
as far as we can.
1629
01:27:52,867 --> 01:27:57,672
But I do think we're behind
on the kind of technological aspects of it
1630
01:27:57,672 --> 01:28:01,376
and the, or the ethical aspects of it
and how,
1631
01:28:01,809 --> 01:28:05,980
how we, approach
solving those ethical aspects.
1632
01:28:06,681 --> 01:28:10,218
I did a lot of research for this,
and I looked up a lot of suggestions
1633
01:28:10,218 --> 01:28:14,289
for those ethical aspects, and there
doesn't seem to be any type of consensus.
1634
01:28:15,123 --> 01:28:16,124
and as we know, in America,
1635
01:28:16,124 --> 01:28:19,627
there was that massive strike
because there isn't an ethical consensus.
1636
01:28:20,295 --> 01:28:23,298
and I think that's possibly going to be
a barrier
1637
01:28:23,331 --> 01:28:26,334
fairly shortly to how it's, use,
1638
01:28:26,834 --> 01:28:29,971
and how much accessibility
there is on an everyday level.
1639
01:28:33,541 --> 01:28:35,710
So what was it
1640
01:28:35,710 --> 01:28:37,378
about students?
1641
01:28:37,378 --> 01:28:40,381
Oh, how students, how should students,
1642
01:28:41,516 --> 01:28:45,687
well, that is one of the things
that is good about it is democratizing.
1643
01:28:45,853 --> 01:28:49,857
They can access huge amounts
of technological stuff.
1644
01:28:49,891 --> 01:28:51,526
Had that list.
1645
01:28:51,526 --> 01:28:52,994
there's so much free stuff.
1646
01:28:52,994 --> 01:28:56,431
There's so much, like, help there if you
1647
01:28:56,631 --> 01:29:00,234
if you want to make now your own film
and you want a drone shot of,
1648
01:29:01,436 --> 01:29:04,305
oh, flying over Mexico City,
you can make that.
1649
01:29:04,305 --> 01:29:08,743
You can just make it,
you can create work more quickly,
1650
01:29:08,743 --> 01:29:11,746
more easily and more professionally than,
1651
01:29:13,081 --> 01:29:15,516
actual professional companies
could just five years ago
1652
01:29:15,516 --> 01:29:18,519
because there's access
to huge amounts of tools.
1653
01:29:18,619 --> 01:29:22,090
So I think that, is something
that they should be inspired by.
1654
01:29:22,090 --> 01:29:26,260
They can go and look at
and just go and have a play, with AI
1655
01:29:26,260 --> 01:29:29,263
and see what it's making you want to do
in terms of your storytelling.
1656
01:29:29,697 --> 01:29:31,532
and I think they'll probably know
1657
01:29:31,532 --> 01:29:34,702
more than me because it's sort of natural
as we're getting these tools
1658
01:29:34,702 --> 01:29:36,871
where you can go and have a chat with it
and go,
1659
01:29:36,871 --> 01:29:40,141
can you give me five prompts
to how to write a story or whatever?
1660
01:29:40,441 --> 01:29:44,011
I think they just need to get used to,
like using it for their,
1661
01:29:44,812 --> 01:29:48,015
for whatever story,
whatever the thing they're creating.
1662
01:29:48,182 --> 01:29:52,320
And I think the really the opportunities
for how you can use it are endless.
1663
01:29:52,320 --> 01:29:53,121
I did a few,
1664
01:29:54,122 --> 01:29:55,523
but there are so many
1665
01:29:55,523 --> 01:29:58,526
ways and there'll be so many clever,
brilliant students you have.
1666
01:29:58,659 --> 01:30:01,129
He'll be doing stuff
way beyond what I'm imagining.
1667
01:30:01,129 --> 01:30:02,797
And I think that's really,
really exciting.
1668
01:30:02,797 --> 01:30:05,800
I'd love to see what they're up to.
1669
01:30:21,015 --> 01:30:21,983
Thank you.
1670
01:30:21,983 --> 01:30:22,717
Thank you very much.
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