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Come through, Chris.
Yeah, cheers, mate.
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Ladies and gentlemen, please welcome
to the stage Chris McCausland!
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CHEERING
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I suppose people will know me
as a stand-up comedian.
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And, of course,
Strictly Come Dancing,
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you know, where I...
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I was all right, weren't I?
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CHEERING
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What people mightn't know about me
is, before getting into comedy,
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going back well over 20 years,
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my background's in computers,
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and I've got a degree in
software engineering.
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And I am a geek!
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00:00:48,720 --> 00:00:51,680
Since losing my sight,
technology has been a game-changer
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00:00:51,680 --> 00:00:54,600
in opening up the world to me,
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00:00:54,600 --> 00:00:57,560
helping me to navigate the everyday.
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Can you tell me which T-shirt
this is, please?
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But there is amazing technology
out there
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that I am yet to experience.
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So, I'm heading to America,
land of the tech giant,
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to get my hands on some of
the latest technology
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that will be changing things
for everyone.
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From trying out
a self-driving car...
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Oh, this is bananas.
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..to finding out how AI can bring me
a whole new level of independence.
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What album's this one?
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This is David Bowie's
album.
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The possibilities of
the future are exciting.
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This was considered, I thought,
impossible technology.
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Wow. I mean, so this is
the future, really, isn't it?
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But can I really put
my full trust in tech?
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Proceeding on San Francisco
bicycle route 86.
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Oh, we're on a bicycle route.
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And am I ready to put
more dependence on technology?
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The problem with these is,
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the last thing you need is
a blind man who can walk faster.
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We are about to find out.
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I could do with a coffee,
I tell you that.
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Let's grab a coffee.
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00:02:04,560 --> 00:02:06,880
I have a degenerative eye condition.
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I wasn't born blind -
I used to be able to see -
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but over the first 25 years
of my life,
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my sight deteriorated.
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People say, "When did you go blind"?
and it's difficult to say,
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because you stop being able to do
different things at different times.
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I'm 48 now, so I've, you know...
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It's hard to put a date on it,
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but I've been blind since about 25.
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For a while, I had a guide dog,
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and I also used to use
a white stick,
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but I wasn't very good at that.
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I always have to trust
somebody to navigate me around,
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if I'm walking somewhere.
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Up, through the door.
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I always have to trust that somebody
is giving me the correct information
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if I ask them to read me something.
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What have we got?
What do you fancy?
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00:02:44,080 --> 00:02:46,040
Got sandwiches, rolls,
shepherd's pie.
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What sort of thing do you fancy?
Oh...
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See, I love an omelette
and I love a shepherd's pie,
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but I'm not sure I want to be
eating one on camera.
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It just becomes part of life,
doesn't it?
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And I suppose really,
what I'm doing is I'm shifting
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some of that dependence and
trust over to technology.
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00:03:01,800 --> 00:03:03,760
Going back 20, 30 years,
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00:03:03,760 --> 00:03:06,760
somebody like myself would've had
to use specialist technology
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specifically designed
to provide accessibility.
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And then, the iPhone came out,
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with a feature of
the operating system
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that reads the things out to you.
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Speech on. Just press record.
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See, I mean,
this is the newest iPhone.
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It's still on there today.
It's still called Voiceover.
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So, you would touch an icon
to activate it. Yeah.
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Yeah? I would swipe through them.
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Month Cal, Google Maps,
Seeing AI, Aira Explorer.
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These are all the apps I've got,
but, er... ChatGPT Voice.
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ChatGPT...
..ChatGPT, Perplexity...
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These are all AI apps.
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..Instagram, four new items...
Instagram.
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I very rarely go on there.
..Utilities folder...
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You know, if I want...
It speaks very fast.
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It does, so I've sped that up.
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When you buy it, you know,
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this is the speed it comes at
in the box, yeah?
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Seeing AI,
Aira Explorer, X, Instagram,
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four new items...
Yeah? Yeah.
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"Instagram,
four new items..."
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And you very quickly get
used to that,
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and it starts to drive you mad.
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So...
..action, voices, speech volume...
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..so you speed it up.
50, 60, 60, 70%.
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Yeah? Yeah.
Some people have it very fast.
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PHONE SPEAKING RAPIDLY
Yeah?
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Let's dial it down a bit.
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A phone with a glass screen
and no buttons.
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It seems so fundamentally
exclusionary to someone who's blind,
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but it is - it became the most
accessible tool I've ever used.
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It allows you to do your texts,
your emails, read the news,
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access the train times,
buy your train tickets,
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buy things online.
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Everything that everybody else
can do conveniently through
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the phone is accessible to me.
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A lot of the things that people
identify with blindness -
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like having a white stick -
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technology has replaced
a lot of them, for me,
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in that I don't have to go to
the shop to get a pint of milk
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and a loaf of bread,
because I can have one brought
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to the house in 30 minutes.
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Apple made those first steps,
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but Google soon released
its own version called TalkBack.
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Now it's not just smartphones
that have accessibility features
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built in, but loads
of consumer tech,
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00:04:59,920 --> 00:05:02,680
like TVs, and even games consoles.
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It's a leveller, and that's
the biggest game-changer.
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00:05:06,720 --> 00:05:09,800
The fact that I do everything now
the same as everybody else is
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what is exciting about it,
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because before things
like the smartphone,
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00:05:15,440 --> 00:05:18,360
"just like everybody else"
was not possible.
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Mainstream technology is for
everybody, in a lot of cases,
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and that's what's exciting.
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It feels like we are invited
into the club, you know,
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the doors have been opened.
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00:05:32,280 --> 00:05:34,760
The smartphone really
started something for me,
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and now, technology is only
getting better and better,
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00:05:37,720 --> 00:05:40,920
offering greater levels of
access and autonomy.
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00:05:42,080 --> 00:05:44,560
Since then we've seen
a boom in technology,
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00:05:44,560 --> 00:05:47,120
from development of
new software and apps,
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00:05:47,120 --> 00:05:50,160
to the rise of gadgets
like smartwatches.
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00:05:50,160 --> 00:05:53,200
Artificial intelligence is now
driving another push
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in technological advancement -
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00:05:55,400 --> 00:05:57,120
which for some is frightening,
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00:05:57,120 --> 00:05:59,200
but for me is very exciting.
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You all right, mate?
You good? OK, yeah.
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00:06:05,080 --> 00:06:08,880
There are technological innovations
happening all over the world,
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but we are heading to America,
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home to many of the world's
biggest tech companies,
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and some of the most exciting
gadgets on the planet.
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00:06:17,680 --> 00:06:20,600
We are going to San Francisco.
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We're going to go check out
the latest in, erm,
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00:06:23,600 --> 00:06:25,000
what is on the horizon,
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in terms of AI and
self-driving cars.
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They've actually got them!
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I'm excited about the trip.
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I'll be more excited when I'm at
the other end of this flight.
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I don't like the turbulence.
I can't relax.
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I can't sleep, because I can't see
how normal the stewards look
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in the cabin, you know,
how much they're not bothered by it.
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In my head, everybody's panicking.
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The bay area of San Francisco is
an area that's long been associated
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with cutting-edge technology,
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from the humble computer mouse
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to the very latest
in artificial intelligence.
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Primitive forms of AI have
been around since the 1950s,
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but in the last few years,
it's exploded.
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KNOCK ON DOOR
DOOR OPENS
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Hey, mate.
Hello, how are you doing?
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Yeah, come in.
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Like millions of users
around the world,
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AI assistance has become
part of my daily life.
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What's the weather like?
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It looks pretty nice out
there.
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Erm, the sky seems clear,
and it looks bright and sunny.
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Seems like a lovely day.
Not raining?
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No, no rain in sight,
from what I can tell.
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It looks like a beautiful,
dry day out there.
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It's certainly becoming a thing
I'm using more and more,
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you know, each day.
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The amazing thing is,
this is as bad as it's going to be.
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It's already incredible.
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So, for a lot of things
that I would, you know,
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I would ask my wife or my daughter,
"What does this look like?
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"Can you describe it to me?"
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Whereas now, I can use AI,
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and I can get a lot of
that information.
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So, for example, if you can't see -
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you know, unless you can feel
that something is a specific item
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00:08:06,440 --> 00:08:08,800
of clothing, often you have
to ask people,
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or you have to mark them
in some way, you know?
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I've spent a lifetime cutting labels
on things so that I know the one
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00:08:15,240 --> 00:08:18,400
with the cut-off label at an
angle is the blue one.
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With AI, just have it open
and just show,
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"Is this the blue one?"
"No, it's green."
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Can you tell me which T-shirt
this is, please?
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Just describe it for me.
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Absolutely.
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This T-shirt is a grey one with
a graphic of a cassette tape on it,
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00:08:35,400 --> 00:08:37,840
er, and it says "Deftones"
on the tape.
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00:08:37,840 --> 00:08:39,320
Good band, good band.
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It's pretty nostalgic and fun.
Love it.
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00:08:41,600 --> 00:08:42,920
HE LAUGHS
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It's remarkable how much it's like
talking to a real person.
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And my wife never compliments
my T-shirts.
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AI assistance like this is
built on large language models,
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a form of AI that is trained
on a vast amount of data,
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00:08:58,840 --> 00:09:01,480
from written articles to
online images...
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00:09:01,480 --> 00:09:04,080
The first one looks like
it's shampoo.
200
00:09:04,080 --> 00:09:06,840
..in order to recognise
the information we need,
201
00:09:06,840 --> 00:09:10,280
and help it build realistic
sentences in response
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00:09:10,280 --> 00:09:12,760
to questions that we ask.
203
00:09:12,760 --> 00:09:16,000
Can you tell me
what this is here, please?
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00:09:16,000 --> 00:09:19,680
Sure. That looks like a
packet of decaffeinated coffee.
205
00:09:19,680 --> 00:09:20,960
Which one are we wearing?
206
00:09:23,880 --> 00:09:25,880
Can you look at my shirt here
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00:09:25,880 --> 00:09:28,600
and just tell me which colour
it is that I've got?
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00:09:28,600 --> 00:09:32,120
And is it clean,
and does it need ironing?
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00:09:32,120 --> 00:09:34,680
Sure, so the shirt
you're holding up
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00:09:34,680 --> 00:09:36,320
looks like a dark
navy colour.
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00:09:36,320 --> 00:09:39,920
It looks pretty clean,
and there are just a few wrinkles,
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00:09:39,920 --> 00:09:43,280
so if you want it super-smooth,
you might want to iron it quickly.
213
00:09:43,280 --> 00:09:44,760
But overall, it looks great.
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00:09:46,000 --> 00:09:47,440
Clean, but wrinkly.
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00:09:48,600 --> 00:09:50,720
Whether browsing your
social media feed
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00:09:50,720 --> 00:09:53,480
or asking your smart-speaker
for a recipe,
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00:09:53,480 --> 00:09:55,480
most people will have used AI,
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00:09:55,480 --> 00:09:57,720
even if they don't know it.
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00:09:57,720 --> 00:10:02,080
I'm a convert to the assistance
that artificial intelligence offers.
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00:10:02,080 --> 00:10:04,280
There are many that have
concerns, though.
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00:10:04,280 --> 00:10:07,840
Trust, energy use, and
overdependence are common arguments
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00:10:07,840 --> 00:10:10,840
aimed at the rapid growth of AI.
223
00:10:10,840 --> 00:10:13,240
There have already been issues
of AI learning from biased
224
00:10:13,240 --> 00:10:15,280
or prejudiced data,
225
00:10:15,280 --> 00:10:18,320
and there are fears that,
with AI starting to create content,
226
00:10:18,320 --> 00:10:21,680
the accuracy of information
will begin to decline.
227
00:10:21,680 --> 00:10:23,160
Like it or loathe it, though,
228
00:10:23,160 --> 00:10:26,360
AI is now an integral part
of technology.
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00:10:26,360 --> 00:10:28,760
There is now a real race
to develop improvements
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00:10:28,760 --> 00:10:30,480
in artificial intelligence -
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00:10:30,480 --> 00:10:32,480
but it's the advances
within hardware,
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00:10:32,480 --> 00:10:35,360
the physical products we
use to access AI,
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00:10:35,360 --> 00:10:37,360
where it gets really exciting.
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00:10:37,360 --> 00:10:39,880
None more so than wearable tech -
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00:10:39,880 --> 00:10:41,600
and we've been given unique access
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00:10:41,600 --> 00:10:45,520
to one of the giants of
the tech world to find out.
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00:10:45,520 --> 00:10:50,800
We are heading to Meta,
the parent company of Facebook,
238
00:10:50,800 --> 00:10:53,720
to have a little go of
their new smart-glasses
239
00:10:53,720 --> 00:10:56,840
and live video interpretation,
240
00:10:56,840 --> 00:10:58,320
which sounds pretty groovy.
241
00:10:59,520 --> 00:11:03,520
I think this is the start of what is
going to be a massive game-changer,
242
00:11:03,520 --> 00:11:06,680
you know, for anybody that
can't see, really,
243
00:11:06,680 --> 00:11:11,840
is using AI to describe your
surroundings and what's going on,
244
00:11:11,840 --> 00:11:13,600
and what you're interacting
with in real time.
245
00:11:13,600 --> 00:11:18,000
You know, it really is the start
of mainstream technology
246
00:11:18,000 --> 00:11:23,800
bridging that gap and
becoming access technology,
247
00:11:23,800 --> 00:11:26,480
you know, as well as something
that everybody wants.
248
00:11:29,920 --> 00:11:31,920
Unless you've been
living under a rock,
249
00:11:31,920 --> 00:11:34,480
you will know the name Meta.
250
00:11:34,480 --> 00:11:38,520
The company that started in 2004
as "The Facebook"
251
00:11:38,520 --> 00:11:41,280
was rebranded as Meta in 2021,
252
00:11:41,280 --> 00:11:44,800
and now runs a whole host of
social media platforms.
253
00:11:44,800 --> 00:11:48,480
They are a company often
criticised over privacy violations
254
00:11:48,480 --> 00:11:49,880
and data management,
255
00:11:49,880 --> 00:11:53,600
but their role in the development
of technology is huge.
256
00:11:53,600 --> 00:11:56,920
Meta is one of the biggest spenders
on research and development
257
00:11:56,920 --> 00:11:59,200
in the tech world,
and in recent times,
258
00:11:59,200 --> 00:12:00,800
they have moved into hardware.
259
00:12:00,800 --> 00:12:05,040
Most exciting for me are
their AI-powered smart-glasses.
260
00:12:05,040 --> 00:12:08,000
So now, Chris, I want to take
you into our Meta world. Yes.
261
00:12:08,000 --> 00:12:10,160
THEY BOTH LAUGH
I'm excited. Are you ready?
262
00:12:10,160 --> 00:12:12,120
I'm looking forward to this, yes.
263
00:12:12,120 --> 00:12:14,520
Your life will never be the same.
264
00:12:14,520 --> 00:12:17,680
Maxine Williams has been
with the company for 12 years,
265
00:12:17,680 --> 00:12:20,200
and is now Meta's head
of accessibility.
266
00:12:20,200 --> 00:12:22,080
I want to show you these glasses.
267
00:12:22,080 --> 00:12:25,400
I'm going to give you...a pair.
268
00:12:25,400 --> 00:12:27,240
Right.
269
00:12:27,240 --> 00:12:28,320
And here we go.
270
00:12:29,320 --> 00:12:31,560
These are special limited edition,
271
00:12:31,560 --> 00:12:33,040
only for the coolest people.
272
00:12:33,040 --> 00:12:34,920
HE LAUGHS
273
00:12:34,920 --> 00:12:37,480
Well, I'm afraid
I'm lowering your standards here.
274
00:12:37,480 --> 00:12:40,640
But it's incredible how much these
have taken off, isn't it, you know?
275
00:12:40,640 --> 00:12:41,680
Yeah.
276
00:12:41,680 --> 00:12:44,960
I think what has really appealed
to people is this form factor. Mm.
277
00:12:44,960 --> 00:12:47,800
To be able to have your hands free
and navigate the world.
278
00:12:47,800 --> 00:12:50,760
You're right. I mean, the one thing
that blind people never have
279
00:12:50,760 --> 00:12:52,040
is two hands free. Right.
280
00:12:52,040 --> 00:12:54,240
You know, you're holding on
to the stick, the dog,
281
00:12:54,240 --> 00:12:56,040
another person, you know?
That's right.
282
00:12:56,040 --> 00:12:59,240
It's the AI, that's what's
exciting, inside these things.
283
00:12:59,240 --> 00:13:01,080
Absolutely.
I can't wait to have a go.
284
00:13:01,080 --> 00:13:02,360
All right.
285
00:13:02,360 --> 00:13:05,640
Evolving from a social media tool
and AI assistant,
286
00:13:05,640 --> 00:13:08,440
these glasses are now part
of an accessibility push
287
00:13:08,440 --> 00:13:09,960
into mainstream technology,
288
00:13:09,960 --> 00:13:13,080
using microphones,
speakers, a camera, and AI
289
00:13:13,080 --> 00:13:15,880
to provide information about
the visual world.
290
00:13:15,880 --> 00:13:17,520
OK, so I'll hold this...
291
00:13:17,520 --> 00:13:20,120
Usually the information
the glasses give me would be
292
00:13:20,120 --> 00:13:23,880
for my ears only, through discreet
speakers in the frames -
293
00:13:23,880 --> 00:13:27,520
but to help you understand what's
happening, we've mic'd them up.
294
00:13:27,520 --> 00:13:30,920
Alongside the ability to listen
to music, take photos of friends,
295
00:13:30,920 --> 00:13:33,040
or ask AI about the weather,
296
00:13:33,040 --> 00:13:36,760
these glasses have two key
visual AI features.
297
00:13:38,320 --> 00:13:40,640
The first of these is
describing photos,
298
00:13:40,640 --> 00:13:43,440
just like with a phone,
but much more practical.
299
00:13:43,440 --> 00:13:46,320
Hey, Meta. What am I look at?
GLASSES CHIME
300
00:13:46,320 --> 00:13:49,400
The glasses take a photo,
and the AI analyses it
301
00:13:49,400 --> 00:13:53,360
against a vast amount of data
to provide a description.
302
00:13:53,360 --> 00:13:54,400
GLASSES CHIME
303
00:13:54,400 --> 00:13:57,200
You are looking at a tree
and a building.
304
00:13:57,200 --> 00:14:00,160
The building is a large,
modern structure with a sleek,
305
00:14:00,160 --> 00:14:01,800
glass exterior.
306
00:14:01,800 --> 00:14:05,680
It has a rectangular shape and
appears to be several storeys tall.
307
00:14:05,680 --> 00:14:07,920
The stills mode
is available in the UK,
308
00:14:07,920 --> 00:14:11,200
but what is not available at home,
at the point of filming this,
309
00:14:11,200 --> 00:14:14,320
is the second feature - live AI.
310
00:14:14,320 --> 00:14:15,960
Start live AI.
311
00:14:17,840 --> 00:14:20,360
Live AI session with video
starting now.
312
00:14:21,680 --> 00:14:23,360
What am I looking at now?
313
00:14:24,640 --> 00:14:26,280
GLASSES CHIME
314
00:14:26,280 --> 00:14:28,320
You are looking at
a group of people,
315
00:14:28,320 --> 00:14:30,160
some of whom are holding cameras.
316
00:14:31,480 --> 00:14:32,920
They're filming me.
317
00:14:32,920 --> 00:14:35,280
Do they look like they know
what they're doing?
318
00:14:37,240 --> 00:14:40,760
Yes. The people holding cameras
appear to be professionals,
319
00:14:40,760 --> 00:14:43,200
as they are using high-quality
equipment and seem to be
320
00:14:43,200 --> 00:14:45,160
focused on their work.
321
00:14:45,160 --> 00:14:47,720
Well, there you go.
He says you look professional.
322
00:14:50,880 --> 00:14:54,080
Maybe this Meta AI doesn't know
what it's on about after all!
323
00:14:54,080 --> 00:14:57,120
In this mode, the camera and
the microphones are constantly
324
00:14:57,120 --> 00:15:00,720
taking in information,
which means that the AI can provide
325
00:15:00,720 --> 00:15:03,200
real-time descriptions in the moment
326
00:15:03,200 --> 00:15:07,720
and answer any of my queries
about the world around me.
327
00:15:07,720 --> 00:15:10,320
It's pretty mind-blowing, really.
328
00:15:10,320 --> 00:15:12,520
There's a body of water
in the distance.
329
00:15:13,560 --> 00:15:15,040
Any idea what that is?
330
00:15:16,880 --> 00:15:21,160
It's a serene waterfront area
with a grassy field, trees,
331
00:15:21,160 --> 00:15:25,480
and a body of water in the distance,
possibly a lake or a bay.
332
00:15:25,480 --> 00:15:26,600
There we go.
333
00:15:36,560 --> 00:15:38,160
I can hear a plane.
334
00:15:39,760 --> 00:15:43,440
Yes, there's a plane
flying overhead.
335
00:15:43,440 --> 00:15:44,800
You can see that?
336
00:15:47,000 --> 00:15:49,480
Yes. The plane is visible
in the distance,
337
00:15:49,480 --> 00:15:51,560
flying across the clear, blue sky.
338
00:15:56,440 --> 00:15:57,840
When you have a disability,
339
00:15:57,840 --> 00:16:00,160
you have to become dependent
on other people -
340
00:16:00,160 --> 00:16:01,920
and dependency can be exhausting.
341
00:16:03,600 --> 00:16:06,760
Sometimes, y-you feel like
a bit of a burden,
342
00:16:06,760 --> 00:16:09,360
and you don't want to ask people
too many questions.
343
00:16:09,360 --> 00:16:11,320
You feel like you're
using their time,
344
00:16:11,320 --> 00:16:12,960
or you're relying on people
too much -
345
00:16:12,960 --> 00:16:14,720
whereas AI doesn't feel bothered,
346
00:16:14,720 --> 00:16:17,080
and it's got as much time
as it needs, hasn't it?
347
00:16:17,080 --> 00:16:22,560
This is the first application of AI
in a piece of hardware, really,
348
00:16:22,560 --> 00:16:26,440
that is available for everyone to go
and buy now that isn't a phone
349
00:16:26,440 --> 00:16:28,000
or a computer, or a tablet.
350
00:16:30,240 --> 00:16:32,000
Just by their very nature,
351
00:16:32,000 --> 00:16:35,040
they have a usage to people
like myself that goes beyond
352
00:16:35,040 --> 00:16:37,600
what the general population
would get out of them.
353
00:16:37,600 --> 00:16:44,360
It's incredible, really,
because I think, 15 years ago,
354
00:16:44,360 --> 00:16:46,200
that wouldn't have been
a consideration
355
00:16:46,200 --> 00:16:47,680
from a company, you know?
356
00:16:49,440 --> 00:16:52,720
Well, look, as exciting as this has
been to get to try out the tech -
357
00:16:52,720 --> 00:16:54,360
and I love trying out tech -
358
00:16:54,360 --> 00:16:59,520
I couldn't give a hoot about
flowers and bodies of water.
359
00:16:59,520 --> 00:17:02,600
I want to go vinyl shopping
and have a cheeseburger.
360
00:17:04,240 --> 00:17:06,480
So, let's go and do that.
361
00:17:06,480 --> 00:17:08,960
Perfect, let's go.
HE LAUGHS
362
00:17:08,960 --> 00:17:11,280
I can't believe I said "hoot".
Who says "hoot"?
363
00:17:14,160 --> 00:17:17,880
Music is a passion of mine,
and has been since I was a kid.
364
00:17:17,880 --> 00:17:20,680
Flicking through vinyls just
isn't something I can do -
365
00:17:20,680 --> 00:17:23,360
but with the hands-free
form factor of these glasses
366
00:17:23,360 --> 00:17:25,360
and the built-in AI, it could be.
367
00:17:28,240 --> 00:17:31,960
I have no idea if this'll even work,
but it's worth a try.
368
00:17:31,960 --> 00:17:33,840
Now where's the rock section?
369
00:17:33,840 --> 00:17:36,800
Hey, Meta, start live AI.
370
00:17:36,800 --> 00:17:39,560
Live AI session with
video starting now.
371
00:17:39,560 --> 00:17:41,000
What album is this?
372
00:17:42,640 --> 00:17:45,400
This is the album
The Wall by Pink Floyd,
373
00:17:45,400 --> 00:17:48,960
a classic rock album
released in 1979.
374
00:17:48,960 --> 00:17:50,440
What album is this?
375
00:17:50,440 --> 00:17:53,200
This is the album
The Wall by Pink Floyd,
376
00:17:53,200 --> 00:17:55,720
a classic rock album
released in 1979.
377
00:17:55,720 --> 00:17:56,760
What about this one?
378
00:17:56,760 --> 00:17:58,960
This is the album
The Wall by Pink Floyd...
379
00:17:58,960 --> 00:18:00,800
Oh, I don't think it is.
..a classic rock album.
380
00:18:00,800 --> 00:18:03,840
It's got a little bit stuck
on the thing.
381
00:18:05,040 --> 00:18:06,080
Huh?
382
00:18:07,600 --> 00:18:09,200
Ah.
383
00:18:09,200 --> 00:18:10,720
Something's not working here.
384
00:18:10,720 --> 00:18:12,640
My money's on me.
385
00:18:12,640 --> 00:18:16,040
It seems I'm not quite getting
the angles right.
386
00:18:16,040 --> 00:18:18,000
And what's this one?
387
00:18:18,000 --> 00:18:20,600
This is the album
Paranoid by Black Sabbath.
388
00:18:20,600 --> 00:18:22,160
Everyone owns that.
389
00:18:23,480 --> 00:18:25,200
What's this one?
390
00:18:25,200 --> 00:18:28,880
This is the album Master
of Reality by Black Sabbath.
391
00:18:28,880 --> 00:18:30,120
There we go.
392
00:18:31,160 --> 00:18:32,800
All right, they aren't perfect,
393
00:18:32,800 --> 00:18:34,800
but I'm still learning,
and so is the AI.
394
00:18:34,800 --> 00:18:37,760
But the independence they could
offer is definitely worth
395
00:18:37,760 --> 00:18:39,320
any teething problems.
396
00:18:41,080 --> 00:18:44,000
So far, I've been asking
direct questions -
397
00:18:44,000 --> 00:18:46,480
but key to the glasses is their
ability to understand context,
398
00:18:46,480 --> 00:18:50,560
like with dinner menus, which could
help me be less dependent
399
00:18:50,560 --> 00:18:52,960
on those around me -
like the crew -
400
00:18:52,960 --> 00:18:57,400
who, for tonight, are going to be
dependent on me and the glasses.
401
00:18:57,400 --> 00:19:00,760
OK, guys. Listen, you've been
reading everything to me,
402
00:19:00,760 --> 00:19:03,280
so I'm going to order
everybody's food.
403
00:19:03,280 --> 00:19:05,760
This is not an offer
to pay for any of you.
404
00:19:05,760 --> 00:19:08,800
THEY LAUGH
OK? You'll pay for yourselves.
405
00:19:08,800 --> 00:19:11,760
LAUGHTER CONTINUES
406
00:19:11,760 --> 00:19:13,120
All right, let's get going.
407
00:19:14,640 --> 00:19:17,280
Hey, Meta, what's on the menu
in front of me?
408
00:19:18,640 --> 00:19:20,720
The categories on the
409
00:19:20,720 --> 00:19:23,360
menu appear to be starters, salads,
soup,
410
00:19:23,360 --> 00:19:25,760
and Clam House specialities.
411
00:19:25,760 --> 00:19:27,480
Er, what salads are there?
412
00:19:28,720 --> 00:19:32,240
The salads listed on the
menu are angry shrimp salad,
413
00:19:32,240 --> 00:19:35,040
Clam House salad, mixed green salad.
414
00:19:35,040 --> 00:19:36,480
OK, who wanted a salad?
415
00:19:36,480 --> 00:19:38,560
I'll have a salad, please.
I'd like a salad too.
416
00:19:38,560 --> 00:19:41,720
Well, there's an arugula salad,
a Clam House salad,
417
00:19:41,720 --> 00:19:44,720
a mixed green salad,
or a Caesar salad.
418
00:19:44,720 --> 00:19:46,200
I'm going to go Caesar, please.
419
00:19:46,200 --> 00:19:47,760
One Caesar salad.
420
00:19:47,760 --> 00:19:49,640
Anybody else want a salad? No?
421
00:19:49,640 --> 00:19:50,880
No, I'll go for a burger.
422
00:19:50,880 --> 00:19:53,160
Meta, can you look at the menu
and tell me if there are
423
00:19:53,160 --> 00:19:55,000
any burgers on here?
424
00:19:55,000 --> 00:19:56,680
GLASSES CHIME
425
00:19:57,720 --> 00:20:02,320
OK, there's a Clam House burger
with all the usual bits on it.
426
00:20:02,320 --> 00:20:04,600
Erm, do you want that?
I'll go for that, yeah.
427
00:20:04,600 --> 00:20:05,880
With cheese? Yes, please.
428
00:20:05,880 --> 00:20:09,200
So, one of them, two salads,
Caesar salads.
429
00:20:09,200 --> 00:20:11,680
You're having a burger. Yeah.
I'm having a burger,
430
00:20:11,680 --> 00:20:13,760
and, erm, there you go.
431
00:20:15,960 --> 00:20:18,000
Mr Chris.
Thank you very much.
432
00:20:18,000 --> 00:20:20,160
Please enjoy.
Thank you, thank you.
433
00:20:20,160 --> 00:20:24,000
The potential for these glasses
in terms of accessibility is clear -
434
00:20:24,000 --> 00:20:26,760
but that is balanced around
the accuracy of the information
435
00:20:26,760 --> 00:20:28,200
the AI gives.
436
00:20:28,200 --> 00:20:31,400
The experience I've had with them,
though, makes me excited for
437
00:20:31,400 --> 00:20:34,440
what AI might be able
to offer me in the future.
438
00:20:39,520 --> 00:20:42,440
One of the draws of coming
to America is to try out something
439
00:20:42,440 --> 00:20:44,720
I've been dreaming of for years -
440
00:20:44,720 --> 00:20:46,640
a self-driving car.
441
00:20:47,760 --> 00:20:50,960
San Francisco was one of the first
cities in the world to roll out
442
00:20:50,960 --> 00:20:53,520
autonomous vehicles
for public rides,
443
00:20:53,520 --> 00:20:56,560
and they are now available
across the city.
444
00:20:56,560 --> 00:20:59,840
That's right, there are cars
on the street here with no-one
445
00:20:59,840 --> 00:21:04,440
behind the wheel, which means you
can be in a car totally alone -
446
00:21:04,440 --> 00:21:06,520
something I've never
been able to do.
447
00:21:11,600 --> 00:21:13,320
This morning, I'm heading to a cafe
448
00:21:13,320 --> 00:21:16,280
to meet my guide to
the driverless revolution.
449
00:21:16,280 --> 00:21:18,040
Today, you're going to come with me
450
00:21:18,040 --> 00:21:21,040
to take a ride in
a fully-autonomous vehicle.
451
00:21:21,040 --> 00:21:23,680
You ready, babe? Let's go.
452
00:21:23,680 --> 00:21:26,280
Jessie Wolinsky is
a partially-sighted influencer
453
00:21:26,280 --> 00:21:28,280
and an early adopter of
autonomous cars,
454
00:21:28,280 --> 00:21:32,160
who has collaborated with Waymo,
a Google spin-off company
455
00:21:32,160 --> 00:21:35,000
who operate public rides
in San Francisco.
456
00:21:36,960 --> 00:21:39,600
So, your eyesight, you can
still see something, yeah?
457
00:21:39,600 --> 00:21:41,920
You're not completely blind,
but it's on its way out.
458
00:21:41,920 --> 00:21:43,920
Yeah, yeah, it's degenerative.
459
00:21:43,920 --> 00:21:46,600
So right now, I have like
a very small amount of vision,
460
00:21:46,600 --> 00:21:48,680
kind of like I'm looking through
a toilet paper roll. Yeah.
461
00:21:48,680 --> 00:21:51,760
Erm, and that amount of vision
is fairly functional.
462
00:21:51,760 --> 00:21:55,720
Technology is such an enabler
for us, isn't it? Oh, yeah.
463
00:21:55,720 --> 00:21:59,360
No, I mean, I feel like there's
so much technology that we rely on.
464
00:21:59,360 --> 00:22:00,840
How many times are you taking
465
00:22:00,840 --> 00:22:02,840
a self-driving car at
the moment, then?
466
00:22:02,840 --> 00:22:08,760
I've probably taken at least
200, 300 rides, maybe more. Yeah.
467
00:22:08,760 --> 00:22:12,520
With yourself being able to see
a little bit... Yeah, yeah.
468
00:22:12,520 --> 00:22:14,720
..you can find the car,
and you can, you know,
469
00:22:14,720 --> 00:22:16,800
you know where you are when
you get out of the car.
470
00:22:16,800 --> 00:22:19,000
But for someone who's
completely blind...
471
00:22:19,000 --> 00:22:22,560
Luckily the app does tell you,
"700 feet to the right,
472
00:22:22,560 --> 00:22:25,520
"600 feet, 500 feet," so it starts,
like, counting that down
473
00:22:25,520 --> 00:22:26,640
and letting you know.
474
00:22:26,640 --> 00:22:29,120
And also, of course
we can use our screen readers,
475
00:22:29,120 --> 00:22:30,680
and that can audio... Yeah.
476
00:22:30,680 --> 00:22:32,640
..obviously give you
that information.
477
00:22:32,640 --> 00:22:34,320
But also, finding the car,
478
00:22:34,320 --> 00:22:38,040
there is a melody that you
can play on the app,
479
00:22:38,040 --> 00:22:41,040
and it'll start playing
this light tone,
480
00:22:41,040 --> 00:22:42,640
and you'll be able to hear it.
481
00:22:42,640 --> 00:22:44,400
And if you can't hear that
cos it's too loud,
482
00:22:44,400 --> 00:22:45,680
you can also honk the horn.
483
00:22:45,680 --> 00:22:48,000
We do not have anything
like this in London.
484
00:22:48,000 --> 00:22:52,160
Just driverless cars,
it feels futuristic to me.
485
00:22:52,160 --> 00:22:53,600
It's the present here.
486
00:22:53,600 --> 00:22:56,640
I mean, it is the future.
It does feel very futuristic.
487
00:22:56,640 --> 00:22:58,040
It kind of feels unreal.
488
00:22:58,040 --> 00:22:59,720
Well, I'm going to find out today.
489
00:22:59,720 --> 00:23:02,160
I've got my phone here.
I've downloaded the app.
490
00:23:02,160 --> 00:23:04,840
It's just like any other
ride-hailing app, isn't it?
491
00:23:04,840 --> 00:23:06,680
Yeah, yeah, just like any
other ride-share app.
492
00:23:06,680 --> 00:23:08,880
You just type in your destination,
and then, you're good to go.
493
00:23:08,880 --> 00:23:11,440
Up to 100, your car can
arrive in eight minutes. OK.
494
00:23:11,440 --> 00:23:14,640
All right, well, it says we can
have one in eight minutes, Jessie,
495
00:23:14,640 --> 00:23:16,840
so I'll order that now.
All righty, let's do it.
496
00:23:16,840 --> 00:23:19,320
Let's get out of here.
And off we go.
497
00:23:19,320 --> 00:23:22,400
These cars are on the street
for everyone to experience,
498
00:23:22,400 --> 00:23:25,320
but they have been designed with
accessibility for blind and
499
00:23:25,320 --> 00:23:27,600
partially-sighted people in mind -
500
00:23:27,600 --> 00:23:30,280
if you're happy to trust
an AI robot driver, that is.
501
00:23:30,280 --> 00:23:32,600
All righty.
It's coming up on our left.
502
00:23:32,600 --> 00:23:34,640
And you can see that, yeah?
Yeah, yeah.
503
00:23:34,640 --> 00:23:36,960
I can see a little bit of the door.
Right, shall I slide across?
504
00:23:36,960 --> 00:23:39,520
Yes, you can slide across.
505
00:23:39,520 --> 00:23:42,560
Press the "start ride" button
in your app. Let's do it.
506
00:23:43,720 --> 00:23:46,400
When it's driving,
is the steering wheel turning
507
00:23:46,400 --> 00:23:49,120
like the Invisible Man's in
the front? Exactly, yeah.
508
00:23:49,120 --> 00:23:50,920
The steering wheel is
moving normally.
509
00:23:50,920 --> 00:23:52,800
It looks kind of crazy because,
like, for me, I can see
510
00:23:52,800 --> 00:23:55,160
a little bit of the steering
wheel, and so, yeah,
511
00:23:55,160 --> 00:23:56,520
it turns all over the place.
512
00:23:56,520 --> 00:23:59,760
So, I mean, listen, I know this is
meant to drive like a normal car,
513
00:23:59,760 --> 00:24:02,400
but it feels like it's going at
a proper speed. Oh, yeah, yeah.
514
00:24:02,400 --> 00:24:04,960
No, it totally drives like
a normal car.
515
00:24:04,960 --> 00:24:06,360
It feels normal. Yeah.
516
00:24:06,360 --> 00:24:08,000
Again, they're speaking to you.
Yeah.
517
00:24:08,000 --> 00:24:10,720
And they'll tell you again, like,
"Oh, we're turning onto this street,
518
00:24:10,720 --> 00:24:12,400
or, "We're going through
a school zone,
519
00:24:12,400 --> 00:24:14,280
"and that's why we're slowing down."
520
00:24:14,280 --> 00:24:16,160
So, that does make me feel
very comfortable,
521
00:24:16,160 --> 00:24:18,120
cos it just talks to me.
Yeah. No, I like that.
522
00:24:18,120 --> 00:24:20,360
I like to know what's happening.
523
00:24:20,360 --> 00:24:22,520
See, there you go.
524
00:24:22,520 --> 00:24:24,040
It...it's bizarre.
525
00:24:24,040 --> 00:24:26,760
I mean, I wish I could see
this steering wheel turning.
526
00:24:26,760 --> 00:24:30,560
I think that I find the most, like,
independence here, and... Yeah.
527
00:24:30,560 --> 00:24:33,120
..I was never able to get a driver's
licence or anything like that,
528
00:24:33,120 --> 00:24:34,160
so... Yeah.
529
00:24:34,160 --> 00:24:36,400
At night, when I hail the Waymos,
I'm night-blind,
530
00:24:36,400 --> 00:24:38,000
so I can't see anything.
531
00:24:38,000 --> 00:24:40,240
I have to use the audio cues.
532
00:24:40,240 --> 00:24:43,160
So, I'm very, very confident
that I'm able to use it,
533
00:24:43,160 --> 00:24:45,880
even as I lose more and more vision.
Yeah.
534
00:24:45,880 --> 00:24:47,400
Yeah, this is me.
535
00:24:47,400 --> 00:24:49,040
I'm heading out.
536
00:24:49,040 --> 00:24:52,000
You're on your own now, bud.
THEY LAUGH
537
00:24:52,000 --> 00:24:54,440
This is what I've been waiting for.
538
00:25:05,360 --> 00:25:07,520
HE CHUCKLES
539
00:25:07,520 --> 00:25:09,640
Well, this is bananas.
540
00:25:13,240 --> 00:25:18,120
First time I've ever been in a car
on my own...that's moving.
541
00:25:29,200 --> 00:25:31,840
Proceeding on
Junipero Serra Boulevard.
542
00:25:33,720 --> 00:25:37,920
It's hard to separate the idea
of just doing this as part of
543
00:25:37,920 --> 00:25:41,040
your daily life,
in a car with no driver,
544
00:25:41,040 --> 00:25:44,360
from the novel fact that
I'm in a car with no driver
545
00:25:44,360 --> 00:25:45,680
for the first time.
546
00:25:45,680 --> 00:25:48,760
So, I'm sure this becomes
a little bit second nature, really,
547
00:25:48,760 --> 00:25:50,480
and you just get used to it, but...
548
00:25:51,520 --> 00:25:52,760
Yeah.
549
00:25:54,480 --> 00:25:57,680
The novelty of it is,
erm, is a lot.
550
00:26:05,080 --> 00:26:06,880
I mean, I don't know
what I expected.
551
00:26:06,880 --> 00:26:11,080
Of course it feels like
any regular journey, but...
552
00:26:11,080 --> 00:26:12,640
..it's still insane.
553
00:26:22,600 --> 00:26:24,040
CAR CHIMES
554
00:26:24,040 --> 00:26:27,240
You're here. Please make sure
it's clear before exiting.
555
00:26:29,600 --> 00:26:32,040
Well, thank you,
invisible robot driver.
556
00:26:32,040 --> 00:26:33,080
I'll be off.
557
00:26:35,880 --> 00:26:37,200
Well, there we go.
558
00:26:38,800 --> 00:26:40,360
Here you go, Chris.
How was that?
559
00:26:40,360 --> 00:26:43,520
It's pretty magical, really, innit?
560
00:26:43,520 --> 00:26:44,920
HE CHUCKLES
561
00:26:46,160 --> 00:26:48,920
These cars are stacked with
the latest technology -
562
00:26:48,920 --> 00:26:50,360
and for a geek like me,
563
00:26:50,360 --> 00:26:52,920
I'm curious to find out
how it all works.
564
00:26:52,920 --> 00:26:55,600
On the outskirts of the city,
just under the freeway,
565
00:26:55,600 --> 00:26:57,840
lies the largest of Waymo's depots,
566
00:26:57,840 --> 00:27:01,240
where the cars return themselves
when not zipping humans about
567
00:27:01,240 --> 00:27:03,320
from A to B.
568
00:27:03,320 --> 00:27:06,880
David Margines is one of the
company's top product directors,
569
00:27:06,880 --> 00:27:10,880
and he's going to help me understand
what makes this car so special.
570
00:27:12,280 --> 00:27:15,240
It's a, you know,
fairly standard mid-size SUV,
571
00:27:15,240 --> 00:27:16,720
quite a stylish vehicle. Yeah.
572
00:27:16,720 --> 00:27:19,840
We've made some changes
to the vehicle to enable, er,
573
00:27:19,840 --> 00:27:21,440
its functionality.
574
00:27:21,440 --> 00:27:24,800
Across the entire vehicle,
there are 29 cameras,
575
00:27:24,800 --> 00:27:27,880
and those can do things like
reading text on signs,
576
00:27:27,880 --> 00:27:31,320
or understanding which lights on,
say, a traffic signal are on -
577
00:27:31,320 --> 00:27:33,200
red or yellow, or green.
578
00:27:33,200 --> 00:27:36,960
Along the, top we have
our main long-distance LiDAR.
579
00:27:36,960 --> 00:27:39,120
It stands for Light Detection
And Ranging,
580
00:27:39,120 --> 00:27:41,600
and we have this LiDAR down here,
581
00:27:41,600 --> 00:27:45,800
which can cover this whole area
down near the wheel.
582
00:27:45,800 --> 00:27:47,880
So, now I told you that you
wouldn't be able to touch
583
00:27:47,880 --> 00:27:49,840
the spinning thing right there.
Yeah.
584
00:27:49,840 --> 00:27:52,160
That must be really disappointing,
since you can't see it.
585
00:27:52,160 --> 00:27:54,320
So, I brought one...
I want to touch everything, David.
586
00:27:54,320 --> 00:27:55,800
Yeah, absolutely.
HE LAUGHS
587
00:27:55,800 --> 00:27:57,680
Well, we want to make sure
that you can,
588
00:27:57,680 --> 00:27:59,840
so I'm going to hand it to you.
OK. Right?
589
00:27:59,840 --> 00:28:01,840
So now, this part at the top
in your left hand,
590
00:28:01,840 --> 00:28:03,960
that's the part
that's mounted to the car,
591
00:28:03,960 --> 00:28:05,880
and then, you're able
to spin this part. Ah!
592
00:28:05,880 --> 00:28:08,200
Is it doing like a second
a revolution, or...?
593
00:28:08,200 --> 00:28:10,120
Oh, it does several times a second.
Several times. Yeah.
594
00:28:10,120 --> 00:28:12,080
Oh, so it's going fast?
Oh, yeah, it's going quite fast.
595
00:28:12,080 --> 00:28:13,960
It's literally getting
updates constantly?
596
00:28:13,960 --> 00:28:16,200
Yeah, cos we want
a high refresh rate,
597
00:28:16,200 --> 00:28:18,160
so that we can see things
like motion. Yeah, yeah.
598
00:28:18,160 --> 00:28:20,240
And that's kind of
the active piece, right?
599
00:28:20,240 --> 00:28:23,960
So, that's sending out laser beams,
and then, it's measuring how long
600
00:28:23,960 --> 00:28:26,880
it takes until it sees
the reflection off of an object.
601
00:28:26,880 --> 00:28:30,400
Then it uses the speed of light to
figure out how far away, er,
602
00:28:30,400 --> 00:28:31,640
that thing is.
603
00:28:31,640 --> 00:28:35,040
And by doing that, it's able
to build this 3D structure
604
00:28:35,040 --> 00:28:36,600
of the environment around it.
605
00:28:36,600 --> 00:28:39,520
Yeah, and that's where
the AI comes in, to take those...
606
00:28:39,520 --> 00:28:42,120
..the data it's reading back.
That's exactly right.
607
00:28:42,120 --> 00:28:44,760
The AI model is taking
the LiDAR points and the pixels
608
00:28:44,760 --> 00:28:48,880
from the camera, and the radar
returns, and it's using all of those
609
00:28:48,880 --> 00:28:51,800
together to predict the behaviour
of all of the objects.
610
00:28:51,800 --> 00:28:55,280
Then we can figure out how to
safely go and traverse, you know,
611
00:28:55,280 --> 00:28:57,800
the roads near all of this.
612
00:28:57,800 --> 00:29:00,720
Not only carrying passengers,
but travelling alongside
613
00:29:00,720 --> 00:29:05,080
human-driven cars, the issue of
how safe they are is a big one.
614
00:29:05,080 --> 00:29:08,200
There have already been incidents
of malfunctions and collisions
615
00:29:08,200 --> 00:29:10,000
involving autonomous vehicles,
616
00:29:10,000 --> 00:29:12,120
which concern many about their use.
617
00:29:12,120 --> 00:29:15,520
For me, though, trusting a computer
in a car is not massively different
618
00:29:15,520 --> 00:29:17,560
from trusting a driver I don't know,
619
00:29:17,560 --> 00:29:20,040
and I'm certainly excited by
the freedom of being
620
00:29:20,040 --> 00:29:21,920
in a car on my own.
621
00:29:21,920 --> 00:29:25,160
It won't be long till we have
autonomous vehicles on the streets
622
00:29:25,160 --> 00:29:28,440
in Britain, after the UK Government
changed rules to accelerate
623
00:29:28,440 --> 00:29:32,480
their roll-out, with trials
scheduled for spring 2026.
624
00:29:36,480 --> 00:29:40,640
My time in San Francisco is over,
and I'm off to the east coast -
625
00:29:40,640 --> 00:29:43,200
specifically Boston.
626
00:29:43,200 --> 00:29:46,080
I'm here because I've been
invited to the world-renowned
627
00:29:46,080 --> 00:29:48,800
Massachusetts Institute
of Technology,
628
00:29:48,800 --> 00:29:52,920
to meet a tech inventor who is
developing wearable robotics.
629
00:29:52,920 --> 00:29:55,880
MIT has long been associated with
developments in science
630
00:29:55,880 --> 00:29:59,840
and technology that have been
integrated into everyday life.
631
00:29:59,840 --> 00:30:03,040
Computer passwords,
electronic spreadsheets, GPS -
632
00:30:03,040 --> 00:30:05,400
MIT played a part in all of them.
633
00:30:09,320 --> 00:30:10,960
Here we are. Second floor.
634
00:30:10,960 --> 00:30:12,520
This is the floor of my lab.
635
00:30:14,800 --> 00:30:18,720
Hugh Herr is a biophysicist,
who is a leading figure in
636
00:30:18,720 --> 00:30:22,160
the development of
bionic limb technology.
637
00:30:22,160 --> 00:30:23,440
Here's my lab.
638
00:30:23,440 --> 00:30:25,640
This is called
the Biomechatronics Group.
639
00:30:25,640 --> 00:30:27,480
Erm, it's a large volume...
That's a cracking name, innit?
640
00:30:27,480 --> 00:30:28,960
..really high ceilings. Yeah.
641
00:30:28,960 --> 00:30:31,560
It's a mess, to be honest.
Ha-ha!
642
00:30:31,560 --> 00:30:35,160
And there's students working,
and just robots and 3D printers,
643
00:30:35,160 --> 00:30:37,040
and cameras all over the place.
644
00:30:37,040 --> 00:30:39,960
So, the focus of this lab
is we develop robots
645
00:30:39,960 --> 00:30:42,160
that attach to humans.
646
00:30:42,160 --> 00:30:44,240
So, we're obsessed with limbs.
Yeah.
647
00:30:44,240 --> 00:30:46,000
We're obsessed with arms and legs.
648
00:30:46,000 --> 00:30:48,400
So, arms, we want to enhance
people's abilities
649
00:30:48,400 --> 00:30:49,720
to manipulate objects.
650
00:30:49,720 --> 00:30:52,880
With legs, we want to enhance
people's ability to run,
651
00:30:52,880 --> 00:30:54,640
jump, walk, and so on. Yeah.
652
00:30:54,640 --> 00:30:58,600
And we not only focus on persons
with some type of limb condition,
653
00:30:58,600 --> 00:31:01,960
but also persons with completely,
quote-unquote, "normal" limbs.
654
00:31:01,960 --> 00:31:05,280
And obviously, when you're talking
about, you know, people with -
655
00:31:05,280 --> 00:31:07,160
problem with limbs,
you've lost your legs.
656
00:31:07,160 --> 00:31:08,520
But I gained eight.
657
00:31:08,520 --> 00:31:10,480
My closet has lots of
artificial legs.
658
00:31:10,480 --> 00:31:11,760
CHRIS LAUGHS
659
00:31:11,760 --> 00:31:13,880
So, like, I've moved up
in the world.
660
00:31:13,880 --> 00:31:15,840
I was in a mountain
climbing accident,
661
00:31:15,840 --> 00:31:17,560
suffered frostbite to my lower legs.
662
00:31:17,560 --> 00:31:21,200
Right. My biological limbs were
amputated just below the knee.
663
00:31:21,200 --> 00:31:24,040
Right. And I was fitted with
artificial limbs,
664
00:31:24,040 --> 00:31:27,920
and really not happy at the time
with how low-tech they were.
665
00:31:27,920 --> 00:31:30,320
Wooden blocks with some foam.
Yeah.
666
00:31:30,320 --> 00:31:32,360
Like, I'm not exaggerating. Yeah.
667
00:31:32,360 --> 00:31:35,280
And I said to myself,
"You've got to be kidding me.
668
00:31:35,280 --> 00:31:39,280
"This is what exists in the age of
space flight and the internet?
669
00:31:39,280 --> 00:31:41,120
"Are you kidding me?"
Yeah, yeah, yeah.
670
00:31:41,120 --> 00:31:45,440
So really, at that time, I dedicated
my life to advancing technologies.
671
00:31:46,560 --> 00:31:50,400
Half the lab, we're trying
to mitigate disability.
672
00:31:50,400 --> 00:31:53,320
So, persons that have
a limb amputation -
673
00:31:53,320 --> 00:31:55,560
we do bionic reconstructions.
674
00:31:55,560 --> 00:31:58,800
Or a person that suffered a spinal
cord injury and has paralysis -
675
00:31:58,800 --> 00:32:02,240
we build these smart,
motorised exoskeletons,
676
00:32:02,240 --> 00:32:04,800
or we stimulate the muscles
to restore movement.
677
00:32:04,800 --> 00:32:07,400
And then, the other half of
the lab is augmentation,
678
00:32:07,400 --> 00:32:11,400
extending human capability beyond
innate physiological levels.
679
00:32:11,400 --> 00:32:14,160
From the early development of
his own prosthetic limbs
680
00:32:14,160 --> 00:32:15,680
and his work with disability,
681
00:32:15,680 --> 00:32:18,280
Hugh's lab has now moved
into the mainstream,
682
00:32:18,280 --> 00:32:20,520
with robotic systems
that everyone can wear
683
00:32:20,520 --> 00:32:24,040
to improve mobility -
including me.
684
00:32:24,040 --> 00:32:29,040
In front of you here is a mysterious
black box with an exoskeleton.
685
00:32:29,040 --> 00:32:32,160
We're actually the first group
in the world to show that
686
00:32:32,160 --> 00:32:36,000
we can augment human movement
with a leg exoskeleton.
687
00:32:36,000 --> 00:32:39,000
OK. So today you're, going to try
this really cool hardware...
688
00:32:39,000 --> 00:32:40,600
I'm going to try it? Yeah. OK.
689
00:32:40,600 --> 00:32:43,000
..that'll put energy in your step.
It's super-fun.
690
00:32:43,000 --> 00:32:46,080
We describe these as an
e-bike for legs.
691
00:32:46,080 --> 00:32:49,560
Is it? OK, let's have a go.
Cool. Absolutely.
692
00:32:49,560 --> 00:32:51,440
I'm excited by this.
693
00:32:51,440 --> 00:32:52,920
Yeah, I think you'll love it.
694
00:32:52,920 --> 00:32:54,520
HE LAUGHS
The future, right?
695
00:32:57,160 --> 00:33:00,040
These exo-boots are designed
to make walking and running
696
00:33:00,040 --> 00:33:01,440
easier for everybody,
697
00:33:01,440 --> 00:33:05,320
meaning there are use cases in daily
activities and rehabilitation.
698
00:33:07,760 --> 00:33:09,920
Just walk normally.
699
00:33:09,920 --> 00:33:12,920
So, they're in a trans...
transparent mode.
700
00:33:12,920 --> 00:33:15,960
So, these are learning from
the way I walk? Exactly.
701
00:33:15,960 --> 00:33:19,080
Collecting data,
developing a model for you.
702
00:33:19,080 --> 00:33:22,120
And is it using AI for that?
Some, yeah.
703
00:33:22,120 --> 00:33:24,280
And how do I know
when it's turned itself on?
704
00:33:24,280 --> 00:33:26,320
You'll feel it. It feels like it's
doing something different now.
705
00:33:26,320 --> 00:33:27,480
Yeah, maybe.
706
00:33:27,480 --> 00:33:29,280
Are you feeling energy?
707
00:33:29,280 --> 00:33:30,520
You're walking faster.
708
00:33:30,520 --> 00:33:31,560
Ha-ha-ha!
709
00:33:33,560 --> 00:33:35,200
Oh, my goodness!
710
00:33:35,200 --> 00:33:37,400
OK, now we're cooking on gas.
711
00:33:39,400 --> 00:33:41,160
I can barely keep up with you.
712
00:33:41,160 --> 00:33:43,240
THEY BOTH CHUCKLE
713
00:33:44,680 --> 00:33:47,560
It feels like there's something
under my foot, but it's...
714
00:33:47,560 --> 00:33:49,920
It's the thing on the side...
Yeah, which is...
715
00:33:49,920 --> 00:33:51,600
..almost contracting
and pulling my foot up.
716
00:33:51,600 --> 00:33:53,920
Yeah, which is a motor and
a transmission system
717
00:33:53,920 --> 00:33:56,520
that's applying a torque,
a lot of mechanical power
718
00:33:56,520 --> 00:33:58,600
about your ankle joint. Yeah.
719
00:33:58,600 --> 00:34:02,160
So, it's an equivalent mechanical
action as your calf muscle,
720
00:34:02,160 --> 00:34:03,920
so it's a robotic calf muscle.
721
00:34:03,920 --> 00:34:06,600
And can we clear a space,
and me just do a walk down there
722
00:34:06,600 --> 00:34:08,520
and back on my own with these, yeah?
Absolutely. Let's go this way.
723
00:34:08,520 --> 00:34:10,040
We'll turn you around.
Yeah, yeah.
724
00:34:10,040 --> 00:34:12,760
Can you shout "stop" if there's
a balcony or an open window?
725
00:34:12,760 --> 00:34:14,640
OK.
726
00:34:14,640 --> 00:34:17,160
OK, to your right.
Go to your right. Good.
727
00:34:17,160 --> 00:34:18,200
You're good.
728
00:34:23,400 --> 00:34:26,280
Beautiful.
Give us a shout!
729
00:34:26,280 --> 00:34:28,680
Come to me. I'm coming, Hugh!
730
00:34:28,680 --> 00:34:31,200
THEY LAUGH
731
00:34:31,200 --> 00:34:35,080
That's great. I mean,
what a bizarre sensation.
732
00:34:35,080 --> 00:34:38,240
It's quite remarkable,
the, erm, sensation.
733
00:34:38,240 --> 00:34:40,800
You look like you're starting
to dance. Huh?!
734
00:34:40,800 --> 00:34:42,160
Are you starting to dance?
735
00:34:42,160 --> 00:34:44,680
I spent four months dancing
at the end of last year.
736
00:34:44,680 --> 00:34:46,600
I, erm, I find myself just doing
737
00:34:46,600 --> 00:34:49,080
little pirouettes at
home these days.
738
00:34:49,080 --> 00:34:51,680
But this is, erm,
this is the future.
739
00:34:51,680 --> 00:34:54,160
This is what you see...
The future of human mobility.
740
00:34:54,160 --> 00:34:57,400
It's exciting that this is
where the future's going.
741
00:34:59,800 --> 00:35:03,400
For me, I would love this to be
matched up with something
742
00:35:03,400 --> 00:35:07,760
that allowed me to navigate myself,
as well, and solve a problem
743
00:35:07,760 --> 00:35:11,520
that I have, which is getting
around, independence.
744
00:35:11,520 --> 00:35:15,640
I think there's always something
to be said for matching technologies
745
00:35:15,640 --> 00:35:19,080
together to solve problems that
maybe people hadn't considered
746
00:35:19,080 --> 00:35:20,760
when they developed them.
747
00:35:20,760 --> 00:35:23,120
It's exciting, and this is
just the start of it.
748
00:35:24,600 --> 00:35:27,640
Pioneering tech that can help
outside the body is one thing.
749
00:35:27,640 --> 00:35:30,480
But there is a large field
of work looking at using tech
750
00:35:30,480 --> 00:35:31,960
inside the body.
751
00:35:31,960 --> 00:35:34,880
There have already been trials
of chips that can be implanted
752
00:35:34,880 --> 00:35:37,560
to treat specific conditions -
including sight loss,
753
00:35:37,560 --> 00:35:40,440
where they have enabled people
to regain a small amount of sight,
754
00:35:40,440 --> 00:35:44,000
which is something that
I wouldn't consider - yet.
755
00:35:44,000 --> 00:35:47,920
There is a world where technology
could restore eyesight, but I...
756
00:35:47,920 --> 00:35:51,080
I think it's one of those things
that it would have to be...
757
00:35:51,080 --> 00:35:54,600
..it would have to be good enough
to be life-changing.
758
00:35:54,600 --> 00:36:00,880
It would have to be enough
to provide true...independence,
759
00:36:00,880 --> 00:36:02,280
make a real difference.
760
00:36:04,000 --> 00:36:06,960
When you're in the last dregs
of your eyesight, you know,
761
00:36:06,960 --> 00:36:09,120
you're always trying
to cope with something that
762
00:36:09,120 --> 00:36:10,480
isn't good enough any more.
763
00:36:10,480 --> 00:36:12,760
If you were to say,
do you want enough sight back
764
00:36:12,760 --> 00:36:14,120
that I had when I was 20?
765
00:36:14,120 --> 00:36:17,880
Not really, no, because,
you know, having to depend on
766
00:36:17,880 --> 00:36:20,360
a small amount of eyesight...
767
00:36:20,360 --> 00:36:22,560
..can be more problematic
than it's worth.
768
00:36:24,440 --> 00:36:27,480
Here at MIT, they have made
a breakthrough that could change
769
00:36:27,480 --> 00:36:29,000
health care for all of us.
770
00:36:29,000 --> 00:36:32,800
Led by Professor Deblina Sarkar,
a trans-disciplinary innovator,
771
00:36:32,800 --> 00:36:35,520
they are bridging the gap
between nanotechnology
772
00:36:35,520 --> 00:36:38,000
and synthetic biology.
773
00:36:38,000 --> 00:36:41,600
At the Nano-Cybernetic Biotrek lab -
what a name -
774
00:36:41,600 --> 00:36:45,280
Deblina and her team are using the
very latest in nanotechnology
775
00:36:45,280 --> 00:36:48,240
to do something
only previously conceived of
776
00:36:48,240 --> 00:36:50,200
in science fiction movies.
777
00:36:50,200 --> 00:36:54,280
Here, they are developing minuscule
devices that are smaller
778
00:36:54,280 --> 00:36:57,720
than a human cell,
and invisible to the naked eye.
779
00:36:57,720 --> 00:37:01,160
The aim is to inject them into
the body to treat various conditions
780
00:37:01,160 --> 00:37:03,200
without the need for surgery.
781
00:37:03,200 --> 00:37:05,440
It's the coolest name for a lab,
first of all.
782
00:37:05,440 --> 00:37:06,520
Oh, thank you so much.
783
00:37:06,520 --> 00:37:09,520
Nano means small, and cybernetic
means chips that work with
784
00:37:09,520 --> 00:37:12,080
the human body -
and biotrek, I'm guessing,
785
00:37:12,080 --> 00:37:15,120
means they travel inside the body.
Am I close?
786
00:37:15,120 --> 00:37:19,480
Er, you're very, very close, yeah.
THEY BOTH LAUGH
787
00:37:19,480 --> 00:37:22,240
So, you're probably one of
the first person to, you know,
788
00:37:22,240 --> 00:37:24,840
get the name, like, right.
789
00:37:24,840 --> 00:37:28,360
I've been practising it outside
for three hours. Oh!
790
00:37:30,200 --> 00:37:34,560
So, yeah, nano means small -
specifically it means nanometre.
791
00:37:34,560 --> 00:37:37,960
Yeah. So, if we take a strand
of hair and divide
792
00:37:37,960 --> 00:37:40,280
the thickness 10,000 times...
793
00:37:40,280 --> 00:37:41,920
A 10,000th of a hair?
794
00:37:41,920 --> 00:37:45,400
It's very, very tiny, things which
you cannot see with the naked eye.
795
00:37:45,400 --> 00:37:48,120
Wow. I mean, so this is the future,
really, isn't it? Yeah.
796
00:37:48,120 --> 00:37:54,400
Actually, the goal of my lab is
to fuse these nanoelectronics
797
00:37:54,400 --> 00:37:57,640
with biology for health care.
Yeah.
798
00:37:57,640 --> 00:38:02,360
Specifically to reduce human
suffering and treat diseases, er,
799
00:38:02,360 --> 00:38:04,920
such as Alzheimer's, Parkinson's.
800
00:38:06,280 --> 00:38:09,760
The hope is that the devices
Deblina is creating can be targeted
801
00:38:09,760 --> 00:38:12,800
to specific parts of the body,
travelling through the bloodstream
802
00:38:12,800 --> 00:38:15,480
and implanting themselves
where needed,
803
00:38:15,480 --> 00:38:19,000
then tuning the body's electrical
signals to restore the function
804
00:38:19,000 --> 00:38:22,720
of damaged cells, and potentially
slow the spread of disease.
805
00:38:22,720 --> 00:38:25,240
So far, it's only been
tested in animals,
806
00:38:25,240 --> 00:38:28,600
but the possibilities of
this tech are revolutionary.
807
00:38:29,640 --> 00:38:33,040
Our first thing that we are doing
808
00:38:33,040 --> 00:38:36,080
is treat diseases related
to the brain.
809
00:38:36,080 --> 00:38:38,040
Brain cancer, for example.
810
00:38:38,040 --> 00:38:41,120
What we have shown in
our animal work is that,
811
00:38:41,120 --> 00:38:43,960
by precisely modulating
bioelectricity...
812
00:38:43,960 --> 00:38:46,040
You stop it growing.
..in the tumour environment,
813
00:38:46,040 --> 00:38:48,560
you can actually completely halt
the growth of tumour.
814
00:38:48,560 --> 00:38:51,040
I want to scale this technology
and get it to clinic
815
00:38:51,040 --> 00:38:55,520
as soon as possible,
but we are also doing it, like,
816
00:38:55,520 --> 00:38:57,800
very responsibly, as well.
817
00:38:57,800 --> 00:38:59,920
We really want to make sure that,
you know,
818
00:38:59,920 --> 00:39:04,120
when you go to clinical trials,
you know, it's something...
819
00:39:04,120 --> 00:39:05,920
Best chance of success.
..that can really work, right?
820
00:39:05,920 --> 00:39:07,280
Yeah. Yeah, yeah, yeah.
821
00:39:07,280 --> 00:39:09,800
Now it's time, really,
to scale it up... Yeah.
822
00:39:09,800 --> 00:39:13,640
..do the implementation now,
like, get the FDA approval,
823
00:39:13,640 --> 00:39:16,320
so that we can start
the clinical trials, we believe,
824
00:39:16,320 --> 00:39:17,560
in the next three years.
825
00:39:17,560 --> 00:39:18,600
Three years? Yeah.
826
00:39:18,600 --> 00:39:22,840
This is a documentary in itself,
isn't it?
827
00:39:22,840 --> 00:39:25,200
While her early work
has related to cancers,
828
00:39:25,200 --> 00:39:28,080
another area that Deblina
is researching is using
829
00:39:28,080 --> 00:39:30,840
these nano-devices to
treat sight loss.
830
00:39:30,840 --> 00:39:33,640
I've got an eye condition,
a disease -
831
00:39:33,640 --> 00:39:38,080
so the retinal cells die off
slowly over time.
832
00:39:38,080 --> 00:39:41,960
So, these nanochips
that you're creating,
833
00:39:41,960 --> 00:39:45,400
would they almost be something
834
00:39:45,400 --> 00:39:51,400
that would replace photocells
in the eye, or...?
835
00:39:51,400 --> 00:39:53,440
If you're talking about
my condition...
836
00:39:53,440 --> 00:39:54,760
Yeah, absolutely.
837
00:39:54,760 --> 00:40:02,520
Because these devices can harness
this light that falls on the eye,
838
00:40:02,520 --> 00:40:05,440
they can convert it into
electrical signals,
839
00:40:05,440 --> 00:40:07,080
which can be sent to the brain.
840
00:40:07,080 --> 00:40:10,080
So, though those
specific cells are destroyed,
841
00:40:10,080 --> 00:40:14,880
we can actually send information
a person would otherwise see
842
00:40:14,880 --> 00:40:16,080
to the brain.
843
00:40:16,080 --> 00:40:19,440
So, it totally bypasses
those degraded cells.
844
00:40:19,440 --> 00:40:23,760
It is possible that a person
can still get the vision back,
845
00:40:23,760 --> 00:40:26,960
even when those cells have
been destroyed.
846
00:40:26,960 --> 00:40:29,680
Each of these devices or chips
847
00:40:29,680 --> 00:40:33,920
would almost individually
replace photoreceptor cells?
848
00:40:33,920 --> 00:40:37,920
Yes. So, a lot of them would be
sent in...
849
00:40:37,920 --> 00:40:39,840
Yes. ..to attach to a retina.
850
00:40:39,840 --> 00:40:44,120
Yeah. The resolution we can get is,
in fact, even better than what
851
00:40:44,120 --> 00:40:49,000
a person with eyesight can,
you know, resolve.
852
00:40:49,000 --> 00:40:51,920
So, you're saying not only
do you reckon,
853
00:40:51,920 --> 00:40:54,760
at some point in the future
you could restore my vision,
854
00:40:54,760 --> 00:40:57,680
but you could make my sight better
than everybody else's?
855
00:40:57,680 --> 00:41:01,880
Exactly! You can augment humans
beyond what biology provides.
856
00:41:01,880 --> 00:41:03,240
And we can do other things -
857
00:41:03,240 --> 00:41:05,880
like we can add night-vision,
for example.
858
00:41:05,880 --> 00:41:07,960
BOTH LAUGH
859
00:41:07,960 --> 00:41:10,880
It does sound like crazy
science fiction, though.
860
00:41:10,880 --> 00:41:14,080
It's like... Yeah. ..to say we've
got devices 10,000th the size of -
861
00:41:14,080 --> 00:41:18,200
the width of a human hair,
you can put it in the body,
862
00:41:18,200 --> 00:41:19,640
it knows where it's going,
863
00:41:19,640 --> 00:41:21,960
it knows what it's doing
when it gets there... Yeah.
864
00:41:21,960 --> 00:41:24,960
..and it can fix problems,
make you see,
865
00:41:24,960 --> 00:41:28,160
make you think better,
cure diseases.
866
00:41:28,160 --> 00:41:31,760
Deblina and her team are yet
to undertake human trials,
867
00:41:31,760 --> 00:41:34,120
but if they can show
the same encouraging results
868
00:41:34,120 --> 00:41:37,680
they did in their animal work,
then this could be game-changing -
869
00:41:37,680 --> 00:41:39,640
not just for me, but for all of us.
870
00:41:39,640 --> 00:41:43,320
And that is something I did not
expect to find when I set out.
871
00:41:43,320 --> 00:41:45,200
I've always been of
the opinion that,
872
00:41:45,200 --> 00:41:48,040
if you're going to restore sight,
you need to do it biologically,
873
00:41:48,040 --> 00:41:51,640
because you're restricted
by technology, you know?
874
00:41:51,640 --> 00:41:54,760
You don't want something
that's going to be obsolete.
875
00:41:54,760 --> 00:41:58,960
Erm, but I'd never really considered
that technology could be used
876
00:41:58,960 --> 00:42:01,080
on a cellular level.
877
00:42:01,080 --> 00:42:02,840
Erm, so it-it's...
878
00:42:03,920 --> 00:42:06,920
It's something I'd never
considered in that regard before.
879
00:42:06,920 --> 00:42:09,280
I came into this thinking
it was the far future -
880
00:42:09,280 --> 00:42:12,280
and it's not as far as
we thought, is it?
881
00:42:12,280 --> 00:42:14,120
It's kind of just around the corner.
882
00:42:18,360 --> 00:42:20,720
We've looked at everything
that's there at the minute,
883
00:42:20,720 --> 00:42:22,360
and what we are on the cusp of.
884
00:42:22,360 --> 00:42:24,560
And the thing about all
of this technology,
885
00:42:24,560 --> 00:42:26,000
it's an enabler, isn't it?
886
00:42:26,000 --> 00:42:28,800
It gives you independence
and autonomy.
887
00:42:28,800 --> 00:42:33,480
For me, it makes the differences
of disability so much smaller.
888
00:42:33,480 --> 00:42:36,680
And if you can achieve things
and do things on your own -
889
00:42:36,680 --> 00:42:38,200
and when I say on your own,
890
00:42:38,200 --> 00:42:41,520
the extension of AI and computers
counts as on your own -
891
00:42:41,520 --> 00:42:43,800
then that's a good thing, isn't it?
892
00:42:45,560 --> 00:42:47,960
Are you excited about the
possibilities of the future?
893
00:42:47,960 --> 00:42:50,160
I mean, yeah.
Let's do another documentary,
894
00:42:50,160 --> 00:42:51,640
and we'll come here and, erm,
895
00:42:51,640 --> 00:42:55,480
we'll let her inject me,
high-resolution night-vision,
896
00:42:55,480 --> 00:42:57,720
and then, I'll kick your arse
at Laser Quest.
897
00:42:59,840 --> 00:43:02,120
If you still thought that your
smartphone was just for
898
00:43:02,120 --> 00:43:03,680
taking photographs or sending texts,
899
00:43:03,680 --> 00:43:05,720
then you haven't been
paying attention.
900
00:43:05,720 --> 00:43:08,280
Explore more with the Open
University by scanning
901
00:43:08,280 --> 00:43:10,560
the QR code that is
on your screen now,
902
00:43:10,560 --> 00:43:11,960
or by visiting...
903
00:43:16,720 --> 00:43:20,280
..where you can learn about
how existing smartphone features
904
00:43:20,280 --> 00:43:23,360
designed for greater accessibility
can benefit everybody.
905
00:43:24,680 --> 00:43:25,720
Bang!
70652
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