All language subtitles for Chris McCausland Seeing Into The Future 2025

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranรฎ)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal) Download
pa Punjabi
qu Quechua
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American) Download
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.BZ 2 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.BZ 3 00:00:13,000 --> 00:00:15,720 Come through, Chris. Yeah, cheers, mate. 4 00:00:15,720 --> 00:00:19,480 Ladies and gentlemen, please welcome to the stage Chris McCausland! 5 00:00:19,480 --> 00:00:21,080 CHEERING 6 00:00:21,080 --> 00:00:23,880 I suppose people will know me as a stand-up comedian. 7 00:00:26,000 --> 00:00:28,960 And, of course, Strictly Come Dancing, 8 00:00:28,960 --> 00:00:30,760 you know, where I... 9 00:00:30,760 --> 00:00:32,120 I was all right, weren't I? 10 00:00:32,120 --> 00:00:34,960 CHEERING 11 00:00:36,880 --> 00:00:40,360 What people mightn't know about me is, before getting into comedy, 12 00:00:40,360 --> 00:00:42,480 going back well over 20 years, 13 00:00:42,480 --> 00:00:44,360 my background's in computers, 14 00:00:44,360 --> 00:00:46,960 and I've got a degree in software engineering. 15 00:00:46,960 --> 00:00:48,720 And I am a geek! 16 00:00:48,720 --> 00:00:51,680 Since losing my sight, technology has been a game-changer 17 00:00:51,680 --> 00:00:54,600 in opening up the world to me, 18 00:00:54,600 --> 00:00:57,560 helping me to navigate the everyday. 19 00:00:57,560 --> 00:01:00,080 Can you tell me which T-shirt this is, please? 20 00:01:00,080 --> 00:01:02,520 But there is amazing technology out there 21 00:01:02,520 --> 00:01:04,360 that I am yet to experience. 22 00:01:04,360 --> 00:01:08,400 So, I'm heading to America, land of the tech giant, 23 00:01:08,400 --> 00:01:10,760 to get my hands on some of the latest technology 24 00:01:10,760 --> 00:01:13,120 that will be changing things for everyone. 25 00:01:13,120 --> 00:01:15,280 From trying out a self-driving car... 26 00:01:15,280 --> 00:01:17,320 Oh, this is bananas. 27 00:01:17,320 --> 00:01:22,080 ..to finding out how AI can bring me a whole new level of independence. 28 00:01:22,080 --> 00:01:24,000 What album's this one? 29 00:01:24,000 --> 00:01:25,800 This is David Bowie's album. 30 00:01:27,200 --> 00:01:30,600 The possibilities of the future are exciting. 31 00:01:30,600 --> 00:01:33,600 This was considered, I thought, impossible technology. 32 00:01:33,600 --> 00:01:36,400 Wow. I mean, so this is the future, really, isn't it? 33 00:01:36,400 --> 00:01:39,280 But can I really put my full trust in tech? 34 00:01:39,280 --> 00:01:42,680 Proceeding on San Francisco bicycle route 86. 35 00:01:42,680 --> 00:01:44,440 Oh, we're on a bicycle route. 36 00:01:44,440 --> 00:01:47,840 And am I ready to put more dependence on technology? 37 00:01:47,840 --> 00:01:49,200 The problem with these is, 38 00:01:49,200 --> 00:01:52,280 the last thing you need is a blind man who can walk faster. 39 00:01:52,280 --> 00:01:54,440 We are about to find out. 40 00:02:00,920 --> 00:02:03,080 I could do with a coffee, I tell you that. 41 00:02:03,080 --> 00:02:04,560 Let's grab a coffee. 42 00:02:04,560 --> 00:02:06,880 I have a degenerative eye condition. 43 00:02:06,880 --> 00:02:09,520 I wasn't born blind - I used to be able to see - 44 00:02:09,520 --> 00:02:12,120 but over the first 25 years of my life, 45 00:02:12,120 --> 00:02:13,640 my sight deteriorated. 46 00:02:14,800 --> 00:02:17,120 People say, "When did you go blind"? and it's difficult to say, 47 00:02:17,120 --> 00:02:19,720 because you stop being able to do different things at different times. 48 00:02:19,720 --> 00:02:22,000 I'm 48 now, so I've, you know... 49 00:02:22,000 --> 00:02:23,640 It's hard to put a date on it, 50 00:02:23,640 --> 00:02:25,720 but I've been blind since about 25. 51 00:02:26,800 --> 00:02:28,560 For a while, I had a guide dog, 52 00:02:28,560 --> 00:02:30,520 and I also used to use a white stick, 53 00:02:30,520 --> 00:02:32,480 but I wasn't very good at that. 54 00:02:32,480 --> 00:02:34,720 I always have to trust somebody to navigate me around, 55 00:02:34,720 --> 00:02:36,160 if I'm walking somewhere. 56 00:02:36,160 --> 00:02:38,040 Up, through the door. 57 00:02:38,040 --> 00:02:41,040 I always have to trust that somebody is giving me the correct information 58 00:02:41,040 --> 00:02:42,480 if I ask them to read me something. 59 00:02:42,480 --> 00:02:44,080 What have we got? What do you fancy? 60 00:02:44,080 --> 00:02:46,040 Got sandwiches, rolls, shepherd's pie. 61 00:02:46,040 --> 00:02:47,520 What sort of thing do you fancy? Oh... 62 00:02:47,520 --> 00:02:49,800 See, I love an omelette and I love a shepherd's pie, 63 00:02:49,800 --> 00:02:52,240 but I'm not sure I want to be eating one on camera. 64 00:02:54,080 --> 00:02:56,160 It just becomes part of life, doesn't it? 65 00:02:56,160 --> 00:02:58,640 And I suppose really, what I'm doing is I'm shifting 66 00:02:58,640 --> 00:03:01,800 some of that dependence and trust over to technology. 67 00:03:01,800 --> 00:03:03,760 Going back 20, 30 years, 68 00:03:03,760 --> 00:03:06,760 somebody like myself would've had to use specialist technology 69 00:03:06,760 --> 00:03:10,040 specifically designed to provide accessibility. 70 00:03:10,040 --> 00:03:11,560 And then, the iPhone came out, 71 00:03:11,560 --> 00:03:14,000 with a feature of the operating system 72 00:03:14,000 --> 00:03:17,160 that reads the things out to you. 73 00:03:17,160 --> 00:03:19,440 Speech on. Just press record. 74 00:03:19,440 --> 00:03:21,400 See, I mean, this is the newest iPhone. 75 00:03:21,400 --> 00:03:23,800 It's still on there today. It's still called Voiceover. 76 00:03:23,800 --> 00:03:25,920 So, you would touch an icon to activate it. Yeah. 77 00:03:25,920 --> 00:03:27,640 Yeah? I would swipe through them. 78 00:03:27,640 --> 00:03:30,680 Month Cal, Google Maps, Seeing AI, Aira Explorer. 79 00:03:30,680 --> 00:03:33,080 These are all the apps I've got, but, er... ChatGPT Voice. 80 00:03:33,080 --> 00:03:35,680 ChatGPT... ..ChatGPT, Perplexity... 81 00:03:35,680 --> 00:03:37,400 These are all AI apps. 82 00:03:37,400 --> 00:03:39,520 ..Instagram, four new items... Instagram. 83 00:03:39,520 --> 00:03:41,400 I very rarely go on there. ..Utilities folder... 84 00:03:41,400 --> 00:03:43,400 You know, if I want... It speaks very fast. 85 00:03:43,400 --> 00:03:44,880 It does, so I've sped that up. 86 00:03:44,880 --> 00:03:46,160 When you buy it, you know, 87 00:03:46,160 --> 00:03:48,080 this is the speed it comes at in the box, yeah? 88 00:03:48,080 --> 00:03:51,280 Seeing AI, Aira Explorer, X, Instagram, 89 00:03:51,280 --> 00:03:53,440 four new items... Yeah? Yeah. 90 00:03:53,440 --> 00:03:55,880 "Instagram, four new items..." 91 00:03:55,880 --> 00:03:57,560 And you very quickly get used to that, 92 00:03:57,560 --> 00:03:59,040 and it starts to drive you mad. 93 00:03:59,040 --> 00:04:01,800 So... ..action, voices, speech volume... 94 00:04:01,800 --> 00:04:03,920 ..so you speed it up. 50, 60, 60, 70%. 95 00:04:03,920 --> 00:04:06,240 Yeah? Yeah. Some people have it very fast. 96 00:04:06,240 --> 00:04:08,320 PHONE SPEAKING RAPIDLY Yeah? 97 00:04:08,320 --> 00:04:09,840 Let's dial it down a bit. 98 00:04:09,840 --> 00:04:11,840 A phone with a glass screen and no buttons. 99 00:04:11,840 --> 00:04:16,840 It seems so fundamentally exclusionary to someone who's blind, 100 00:04:16,840 --> 00:04:21,080 but it is - it became the most accessible tool I've ever used. 101 00:04:21,080 --> 00:04:24,000 It allows you to do your texts, your emails, read the news, 102 00:04:24,000 --> 00:04:26,520 access the train times, buy your train tickets, 103 00:04:26,520 --> 00:04:28,160 buy things online. 104 00:04:28,160 --> 00:04:30,800 Everything that everybody else can do conveniently through 105 00:04:30,800 --> 00:04:32,760 the phone is accessible to me. 106 00:04:32,760 --> 00:04:35,600 A lot of the things that people identify with blindness - 107 00:04:35,600 --> 00:04:36,960 like having a white stick - 108 00:04:36,960 --> 00:04:41,520 technology has replaced a lot of them, for me, 109 00:04:41,520 --> 00:04:44,240 in that I don't have to go to the shop to get a pint of milk 110 00:04:44,240 --> 00:04:47,400 and a loaf of bread, because I can have one brought 111 00:04:47,400 --> 00:04:49,360 to the house in 30 minutes. 112 00:04:49,360 --> 00:04:51,160 Apple made those first steps, 113 00:04:51,160 --> 00:04:54,760 but Google soon released its own version called TalkBack. 114 00:04:54,760 --> 00:04:58,040 Now it's not just smartphones that have accessibility features 115 00:04:58,040 --> 00:04:59,920 built in, but loads of consumer tech, 116 00:04:59,920 --> 00:05:02,680 like TVs, and even games consoles. 117 00:05:02,680 --> 00:05:06,720 It's a leveller, and that's the biggest game-changer. 118 00:05:06,720 --> 00:05:09,800 The fact that I do everything now the same as everybody else is 119 00:05:09,800 --> 00:05:12,840 what is exciting about it, 120 00:05:12,840 --> 00:05:15,440 because before things like the smartphone, 121 00:05:15,440 --> 00:05:18,360 "just like everybody else" was not possible. 122 00:05:18,360 --> 00:05:22,680 Mainstream technology is for everybody, in a lot of cases, 123 00:05:22,680 --> 00:05:24,920 and that's what's exciting. 124 00:05:24,920 --> 00:05:28,360 It feels like we are invited into the club, you know, 125 00:05:28,360 --> 00:05:29,760 the doors have been opened. 126 00:05:32,280 --> 00:05:34,760 The smartphone really started something for me, 127 00:05:34,760 --> 00:05:37,720 and now, technology is only getting better and better, 128 00:05:37,720 --> 00:05:40,920 offering greater levels of access and autonomy. 129 00:05:42,080 --> 00:05:44,560 Since then we've seen a boom in technology, 130 00:05:44,560 --> 00:05:47,120 from development of new software and apps, 131 00:05:47,120 --> 00:05:50,160 to the rise of gadgets like smartwatches. 132 00:05:50,160 --> 00:05:53,200 Artificial intelligence is now driving another push 133 00:05:53,200 --> 00:05:55,400 in technological advancement - 134 00:05:55,400 --> 00:05:57,120 which for some is frightening, 135 00:05:57,120 --> 00:05:59,200 but for me is very exciting. 136 00:06:02,840 --> 00:06:05,080 You all right, mate? You good? OK, yeah. 137 00:06:05,080 --> 00:06:08,880 There are technological innovations happening all over the world, 138 00:06:08,880 --> 00:06:11,200 but we are heading to America, 139 00:06:11,200 --> 00:06:14,080 home to many of the world's biggest tech companies, 140 00:06:14,080 --> 00:06:17,680 and some of the most exciting gadgets on the planet. 141 00:06:17,680 --> 00:06:20,600 We are going to San Francisco. 142 00:06:20,600 --> 00:06:23,600 We're going to go check out the latest in, erm, 143 00:06:23,600 --> 00:06:25,000 what is on the horizon, 144 00:06:25,000 --> 00:06:28,800 in terms of AI and self-driving cars. 145 00:06:28,800 --> 00:06:30,200 They've actually got them! 146 00:06:30,200 --> 00:06:32,000 I'm excited about the trip. 147 00:06:32,000 --> 00:06:36,240 I'll be more excited when I'm at the other end of this flight. 148 00:06:36,240 --> 00:06:38,600 I don't like the turbulence. I can't relax. 149 00:06:38,600 --> 00:06:41,920 I can't sleep, because I can't see how normal the stewards look 150 00:06:41,920 --> 00:06:45,040 in the cabin, you know, how much they're not bothered by it. 151 00:06:45,040 --> 00:06:46,880 In my head, everybody's panicking. 152 00:06:51,160 --> 00:06:54,880 The bay area of San Francisco is an area that's long been associated 153 00:06:54,880 --> 00:06:57,120 with cutting-edge technology, 154 00:06:57,120 --> 00:06:58,920 from the humble computer mouse 155 00:06:58,920 --> 00:07:01,960 to the very latest in artificial intelligence. 156 00:07:01,960 --> 00:07:05,800 Primitive forms of AI have been around since the 1950s, 157 00:07:05,800 --> 00:07:09,280 but in the last few years, it's exploded. 158 00:07:09,280 --> 00:07:11,040 KNOCK ON DOOR DOOR OPENS 159 00:07:12,200 --> 00:07:13,800 Hey, mate. Hello, how are you doing? 160 00:07:13,800 --> 00:07:14,840 Yeah, come in. 161 00:07:14,840 --> 00:07:16,880 Like millions of users around the world, 162 00:07:16,880 --> 00:07:20,120 AI assistance has become part of my daily life. 163 00:07:20,120 --> 00:07:21,760 What's the weather like? 164 00:07:21,760 --> 00:07:23,360 It looks pretty nice out there. 165 00:07:23,360 --> 00:07:26,840 Erm, the sky seems clear, and it looks bright and sunny. 166 00:07:26,840 --> 00:07:28,720 Seems like a lovely day. Not raining? 167 00:07:30,080 --> 00:07:32,440 No, no rain in sight, from what I can tell. 168 00:07:32,440 --> 00:07:35,000 It looks like a beautiful, dry day out there. 169 00:07:38,240 --> 00:07:42,000 It's certainly becoming a thing I'm using more and more, 170 00:07:42,000 --> 00:07:43,680 you know, each day. 171 00:07:43,680 --> 00:07:46,520 The amazing thing is, this is as bad as it's going to be. 172 00:07:46,520 --> 00:07:48,240 It's already incredible. 173 00:07:49,840 --> 00:07:52,320 So, for a lot of things that I would, you know, 174 00:07:52,320 --> 00:07:54,960 I would ask my wife or my daughter, "What does this look like? 175 00:07:54,960 --> 00:07:56,360 "Can you describe it to me?" 176 00:07:56,360 --> 00:07:58,440 Whereas now, I can use AI, 177 00:07:58,440 --> 00:08:00,400 and I can get a lot of that information. 178 00:08:01,600 --> 00:08:03,320 So, for example, if you can't see - 179 00:08:03,320 --> 00:08:06,440 you know, unless you can feel that something is a specific item 180 00:08:06,440 --> 00:08:08,800 of clothing, often you have to ask people, 181 00:08:08,800 --> 00:08:10,840 or you have to mark them in some way, you know? 182 00:08:10,840 --> 00:08:15,240 I've spent a lifetime cutting labels on things so that I know the one 183 00:08:15,240 --> 00:08:18,400 with the cut-off label at an angle is the blue one. 184 00:08:18,400 --> 00:08:22,160 With AI, just have it open and just show, 185 00:08:22,160 --> 00:08:24,400 "Is this the blue one?" "No, it's green." 186 00:08:24,400 --> 00:08:27,320 Can you tell me which T-shirt this is, please? 187 00:08:27,320 --> 00:08:28,760 Just describe it for me. 188 00:08:30,680 --> 00:08:31,720 Absolutely. 189 00:08:31,720 --> 00:08:35,400 This T-shirt is a grey one with a graphic of a cassette tape on it, 190 00:08:35,400 --> 00:08:37,840 er, and it says "Deftones" on the tape. 191 00:08:37,840 --> 00:08:39,320 Good band, good band. 192 00:08:39,320 --> 00:08:41,600 It's pretty nostalgic and fun. Love it. 193 00:08:41,600 --> 00:08:42,920 HE LAUGHS 194 00:08:45,280 --> 00:08:48,760 It's remarkable how much it's like talking to a real person. 195 00:08:48,760 --> 00:08:52,000 And my wife never compliments my T-shirts. 196 00:08:52,000 --> 00:08:55,520 AI assistance like this is built on large language models, 197 00:08:55,520 --> 00:08:58,840 a form of AI that is trained on a vast amount of data, 198 00:08:58,840 --> 00:09:01,480 from written articles to online images... 199 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 202 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? 204 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 207 00:09:25,880 --> 00:09:28,600 and just tell me which colour it is that I've got? 208 00:09:28,600 --> 00:09:32,120 And is it clean, and does it need ironing? 209 00:09:32,120 --> 00:09:34,680 Sure, so the shirt you're holding up 210 00:09:34,680 --> 00:09:36,320 looks like a dark navy colour. 211 00:09:36,320 --> 00:09:39,920 It looks pretty clean, and there are just a few wrinkles, 212 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. 214 00:09:46,000 --> 00:09:47,440 Clean, but wrinkly. 215 00:09:48,600 --> 00:09:50,720 Whether browsing your social media feed 216 00:09:50,720 --> 00:09:53,480 or asking your smart-speaker for a recipe, 217 00:09:53,480 --> 00:09:55,480 most people will have used AI, 218 00:09:55,480 --> 00:09:57,720 even if they don't know it. 219 00:09:57,720 --> 00:10:02,080 I'm a convert to the assistance that artificial intelligence offers. 220 00:10:02,080 --> 00:10:04,280 There are many that have concerns, though. 221 00:10:04,280 --> 00:10:07,840 Trust, energy use, and overdependence are common arguments 222 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. 229 00:10:26,360 --> 00:10:28,760 There is now a real race to develop improvements 230 00:10:28,760 --> 00:10:30,480 in artificial intelligence - 231 00:10:30,480 --> 00:10:32,480 but it's the advances within hardware, 232 00:10:32,480 --> 00:10:35,360 the physical products we use to access AI, 233 00:10:35,360 --> 00:10:37,360 where it gets really exciting. 234 00:10:37,360 --> 00:10:39,880 None more so than wearable tech - 235 00:10:39,880 --> 00:10:41,600 and we've been given unique access 236 00:10:41,600 --> 00:10:45,520 to one of the giants of the tech world to find out. 237 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

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.