1 00:00:00,000 --> 00:00:02,000 Diana Reiss: You may think you're looking 2 00:00:02,000 --> 00:00:06,000 through a window at a dolphin spinning playfully, 3 00:00:06,000 --> 00:00:09,000 but what you're actually looking through 4 00:00:09,000 --> 00:00:11,000 is a two-way mirror at a dolphin 5 00:00:11,000 --> 00:00:14,000 looking at itself spinning playfully. 6 00:00:14,000 --> 00:00:16,000 This is a dolphin that is self-aware. 7 00:00:16,000 --> 00:00:18,000 This dolphin has self-awareness. 8 00:00:18,000 --> 00:00:20,000 It's a young dolphin named Bayley. 9 00:00:20,000 --> 00:00:23,000 I've been very interested in understanding the nature 10 00:00:23,000 --> 00:00:27,000 of the intelligence of dolphins for the past 30 years. 11 00:00:27,000 --> 00:00:30,000 How do we explore intelligence in this animal 12 00:00:30,000 --> 00:00:31,000 that's so different from us? 13 00:00:31,000 --> 00:00:34,000 And what I've used is a very simple research tool, 14 00:00:34,000 --> 00:00:37,000 a mirror, and we've gained great information, 15 00:00:37,000 --> 00:00:40,000 reflections of these animal minds. 16 00:00:40,000 --> 00:00:44,000 Dolphins aren't the only animals, the only non-human animals, 17 00:00:44,000 --> 00:00:46,000 to show mirror self-recognition. 18 00:00:46,000 --> 00:00:49,000 We used to think this was a uniquely human ability, 19 00:00:49,000 --> 00:00:52,000 but we learned that the great apes, our closest relatives, 20 00:00:52,000 --> 00:00:54,000 also show this ability. 21 00:00:54,000 --> 00:00:56,000 Then we showed it in dolphins, 22 00:00:56,000 --> 00:00:58,000 and then later in elephants. 23 00:00:58,000 --> 00:01:00,000 We did this work in my lab with the dolphins and elephants, 24 00:01:00,000 --> 00:01:03,000 and it's been recently shown in the magpie. 25 00:01:03,000 --> 00:01:06,000 Now, it's interesting, because we've embraced 26 00:01:06,000 --> 00:01:10,000 this Darwinian view of a continuity in physical evolution, 27 00:01:10,000 --> 00:01:11,000 this physical continuity. 28 00:01:11,000 --> 00:01:15,000 But we've been much more reticent, much slower 29 00:01:15,000 --> 00:01:18,000 at recognizing this continuity in cognition, 30 00:01:18,000 --> 00:01:21,000 in emotion, in consciousness in other animals. 31 00:01:21,000 --> 00:01:24,000 Other animals are conscious. 32 00:01:24,000 --> 00:01:27,000 They're emotional. They're aware. 33 00:01:27,000 --> 00:01:30,000 There have been multitudes of studies with many species 34 00:01:30,000 --> 00:01:34,000 over the years that have given us exquisite evidence 35 00:01:34,000 --> 00:01:37,000 for thinking and consciousness in other animals, 36 00:01:37,000 --> 00:01:40,000 other animals that are quite different than we are in form. 37 00:01:40,000 --> 00:01:43,000 We are not alone. 38 00:01:43,000 --> 00:01:47,000 We are not alone in these abilities. 39 00:01:47,000 --> 00:01:50,000 And I hope, and one of my biggest dreams, 40 00:01:50,000 --> 00:01:53,000 is that, with our growing awareness 41 00:01:53,000 --> 00:01:55,000 about the consciousness of others 42 00:01:55,000 --> 00:01:57,000 and our relationship with the rest of the animal world, 43 00:01:57,000 --> 00:02:00,000 that we'll give them the respect and protection 44 00:02:00,000 --> 00:02:01,000 that they deserve. 45 00:02:01,000 --> 00:02:03,000 So that's a wish I'm throwing out here for everybody, 46 00:02:03,000 --> 00:02:07,000 and I hope I can really engage you in this idea. 47 00:02:07,000 --> 00:02:09,000 Now, I want to return to dolphins, 48 00:02:09,000 --> 00:02:11,000 because these are the animals that I feel like 49 00:02:11,000 --> 00:02:14,000 I've been working up closely and personal with 50 00:02:14,000 --> 00:02:15,000 for over 30 years. 51 00:02:15,000 --> 00:02:17,000 And these are real personalities. 52 00:02:17,000 --> 00:02:20,000 They are not persons, but they're personalities 53 00:02:20,000 --> 00:02:22,000 in every sense of the word. 54 00:02:22,000 --> 00:02:25,000 And you can't get more alien than the dolphin. 55 00:02:25,000 --> 00:02:27,000 They are very different from us in body form. 56 00:02:27,000 --> 00:02:30,000 They're radically different. They come from a radically different environment. 57 00:02:30,000 --> 00:02:35,000 In fact, we're separated by 95 million years 58 00:02:35,000 --> 00:02:37,000 of divergent evolution. 59 00:02:37,000 --> 00:02:39,000 Look at this body. 60 00:02:39,000 --> 00:02:42,000 And in every sense of making a pun here, 61 00:02:42,000 --> 00:02:47,000 these are true non-terrestrials. 62 00:02:47,000 --> 00:02:50,000 I wondered how we might interface with these animals. 63 00:02:50,000 --> 00:02:53,000 In the 1980s, I developed an underwater keyboard. 64 00:02:53,000 --> 00:02:56,000 This was a custom-made touch-screen keyboard. 65 00:02:56,000 --> 00:02:59,000 What I wanted to do was give the dolphins choice and control. 66 00:02:59,000 --> 00:03:01,000 These are big brains, highly social animals, 67 00:03:01,000 --> 00:03:04,000 and I thought, well, if we give them choice and control, 68 00:03:04,000 --> 00:03:06,000 if they can hit a symbol on this keyboard -- 69 00:03:06,000 --> 00:03:09,000 and by the way, it was interfaced by fiber optic cables 70 00:03:09,000 --> 00:03:12,000 from Hewlett-Packard with an Apple II computer. 71 00:03:12,000 --> 00:03:14,000 This seems prehistoric now, 72 00:03:14,000 --> 00:03:16,000 but this was where we were with technology. 73 00:03:16,000 --> 00:03:19,000 So the dolphins could hit a key, a symbol, 74 00:03:19,000 --> 00:03:21,000 they heard a computer-generated whistle, 75 00:03:21,000 --> 00:03:23,000 and they got an object or activity. 76 00:03:23,000 --> 00:03:24,000 Now here's a little video. 77 00:03:24,000 --> 00:03:27,000 This is Delphi and Pan, and you're going to see Delphi 78 00:03:27,000 --> 00:03:31,000 hitting a key, he hears a computer-generated whistle -- (Whistle) -- 79 00:03:31,000 --> 00:03:35,000 and gets a ball, so they can actually ask for things they want. 80 00:03:35,000 --> 00:03:39,000 What was remarkable is, they explored this keyboard 81 00:03:39,000 --> 00:03:42,000 on their own. There was no intervention on our part. 82 00:03:42,000 --> 00:03:44,000 They explored the keyboard. They played around with it. 83 00:03:44,000 --> 00:03:46,000 They figured out how it worked. 84 00:03:46,000 --> 00:03:48,000 And they started to quickly imitate the sounds 85 00:03:48,000 --> 00:03:51,000 they were hearing on the keyboard. 86 00:03:51,000 --> 00:03:53,000 They imitated on their own. 87 00:03:53,000 --> 00:03:55,000 Beyond that, though, they started learning 88 00:03:55,000 --> 00:03:58,000 associations between the symbols, the sounds 89 00:03:58,000 --> 00:04:01,000 and the objects. 90 00:04:01,000 --> 00:04:04,000 What we saw was self-organized learning, 91 00:04:04,000 --> 00:04:07,000 and now I'm imagining, what can we do 92 00:04:07,000 --> 00:04:09,000 with new technologies? 93 00:04:09,000 --> 00:04:12,000 How can we create interfaces, new windows into 94 00:04:12,000 --> 00:04:17,000 the minds of animals, with the technologies that exist today? 95 00:04:17,000 --> 00:04:20,000 So I was thinking about this, and then, one day, 96 00:04:20,000 --> 00:04:24,000 I got a call from Peter. 97 00:04:26,000 --> 00:04:28,000 Peter Gabriel: I make noises for a living. 98 00:04:28,000 --> 00:04:30,000 On a good day, it's music, 99 00:04:30,000 --> 00:04:32,000 and I want to talk a little bit about 100 00:04:32,000 --> 00:04:36,000 the most amazing music-making experience I ever had. 101 00:04:36,000 --> 00:04:39,000 I'm a farm boy. I grew up surrounded by animals, 102 00:04:39,000 --> 00:04:41,000 and I would look in these eyes and wonder 103 00:04:41,000 --> 00:04:43,000 what was going on there? 104 00:04:43,000 --> 00:04:45,000 So as an adult, when I started to read about 105 00:04:45,000 --> 00:04:48,000 the amazing breakthroughs with Penny Patterson and Koko, 106 00:04:48,000 --> 00:04:52,000 with Sue Savage-Rumbaugh and Kanzi, Panbanisha, 107 00:04:52,000 --> 00:04:54,000 Irene Pepperberg, Alex the parrot, 108 00:04:54,000 --> 00:04:57,000 I got all excited. 109 00:04:57,000 --> 00:04:58,000 What was amazing to me also 110 00:04:58,000 --> 00:05:02,000 was they seemed a lot more adept 111 00:05:02,000 --> 00:05:05,000 at getting a handle on our language 112 00:05:05,000 --> 00:05:09,000 than we were on getting a handle on theirs. 113 00:05:09,000 --> 00:05:13,000 I work with a lot of musicians from around the world, 114 00:05:13,000 --> 00:05:16,000 and often we don't have any common language at all, 115 00:05:16,000 --> 00:05:20,000 but we sit down behind our instruments, 116 00:05:20,000 --> 00:05:23,000 and suddenly there's a way for us to connect and emote. 117 00:05:23,000 --> 00:05:26,000 So I started cold-calling, and eventually got through 118 00:05:26,000 --> 00:05:28,000 to Sue Savage-Rumbaugh, 119 00:05:28,000 --> 00:05:30,000 and she invited me down. 120 00:05:30,000 --> 00:05:34,000 I went down, and the bonobos 121 00:05:34,000 --> 00:05:37,000 had had access to percussion instruments, 122 00:05:37,000 --> 00:05:40,000 musical toys, but never before to a keyboard. 123 00:05:40,000 --> 00:05:42,000 At first they did what infants do, 124 00:05:42,000 --> 00:05:44,000 just bashed it with their fists, 125 00:05:44,000 --> 00:05:47,000 and then I asked, through Sue, 126 00:05:47,000 --> 00:05:51,000 if Panbanisha could try with one finger only. 127 00:05:51,000 --> 00:05:56,000 Sue Savage-Rumbaugh: Can you play a grooming song? 128 00:05:56,000 --> 00:05:58,000 I want to hear a grooming song. 129 00:05:58,000 --> 00:06:02,000 Play a real quiet grooming song. 130 00:06:04,000 --> 00:06:08,000 PG: So groom was the subject of the piece. 131 00:06:08,000 --> 00:06:13,000 (Music) 132 00:06:25,000 --> 00:06:29,000 So I'm just behind, jamming, 133 00:06:29,000 --> 00:06:34,000 yeah, this is what we started with. 134 00:06:34,000 --> 00:06:37,000 Sue's encouraging her to continue a little more. 135 00:06:37,000 --> 00:06:42,000 (Music) 136 00:07:26,000 --> 00:07:31,000 She discovers a note she likes, 137 00:07:31,000 --> 00:07:35,000 finds the octave. 138 00:07:35,000 --> 00:07:40,000 She'd never sat at a keyboard before. 139 00:07:46,000 --> 00:07:50,000 Nice triplets. 140 00:08:00,000 --> 00:08:04,000 SSR: You did good. That was very good. 141 00:08:04,000 --> 00:08:05,000 PG: She hit good. 142 00:08:05,000 --> 00:08:10,000 (Applause) 143 00:08:10,000 --> 00:08:15,000 So that night, we began to dream, 144 00:08:15,000 --> 00:08:17,000 and we thought, perhaps the most amazing tool 145 00:08:17,000 --> 00:08:20,000 that man's created is the Internet, 146 00:08:20,000 --> 00:08:23,000 and what would happen if we could somehow 147 00:08:23,000 --> 00:08:25,000 find new interfaces, 148 00:08:25,000 --> 00:08:29,000 visual-audio interfaces that would allow 149 00:08:29,000 --> 00:08:31,000 these remarkable sentient beings 150 00:08:31,000 --> 00:08:34,000 that we share the planet with access? 151 00:08:34,000 --> 00:08:38,000 And Sue Savage-Rumbaugh got excited about that, 152 00:08:38,000 --> 00:08:40,000 called her friend Steve Woodruff, 153 00:08:40,000 --> 00:08:43,000 and we began hustling all sorts of people 154 00:08:43,000 --> 00:08:46,000 whose work related or was inspiring, 155 00:08:46,000 --> 00:08:48,000 which led us to Diana, 156 00:08:48,000 --> 00:08:51,000 and led us to Neil. 157 00:08:51,000 --> 00:08:53,000 Neil Gershenfeld: Thanks, Peter. PG: Thank you. 158 00:08:53,000 --> 00:08:57,000 (Applause) 159 00:08:57,000 --> 00:08:59,000 NG: So Peter approached me. 160 00:08:59,000 --> 00:09:01,000 I lost it when I saw that clip. 161 00:09:01,000 --> 00:09:05,000 He approached me with a vision of doing these things 162 00:09:05,000 --> 00:09:06,000 not for people, for animals. 163 00:09:06,000 --> 00:09:09,000 And then I was struck in the history of the Internet. 164 00:09:09,000 --> 00:09:13,000 This is what the Internet looked like when it was born 165 00:09:13,000 --> 00:09:15,000 and you can call that the Internet 166 00:09:15,000 --> 00:09:17,000 of middle-aged white men, 167 00:09:17,000 --> 00:09:18,000 mostly middle-aged white men. 168 00:09:18,000 --> 00:09:20,000 Vint Cerf: (Laughs) 169 00:09:20,000 --> 00:09:23,000 (Laughter) 170 00:09:23,000 --> 00:09:25,000 NG: Speaking as one. 171 00:09:25,000 --> 00:09:28,000 Then, when I first came to TED, 172 00:09:28,000 --> 00:09:30,000 which was where I met Peter, I showed this. 173 00:09:30,000 --> 00:09:32,000 This is a $1 web server, 174 00:09:32,000 --> 00:09:35,000 and at the time that was radical. 175 00:09:35,000 --> 00:09:39,000 And the possibility of making a web server for a dollar 176 00:09:39,000 --> 00:09:42,000 grew into what became known as the Internet of Things, 177 00:09:42,000 --> 00:09:45,000 which is literally an industry now with tremendous implications 178 00:09:45,000 --> 00:09:48,000 for health care, energy efficiency. 179 00:09:48,000 --> 00:09:49,000 And we were happy with ourselves. 180 00:09:49,000 --> 00:09:51,000 And then when Peter showed me that, 181 00:09:51,000 --> 00:09:52,000 I realized we had missed something, 182 00:09:52,000 --> 00:09:55,000 which is the rest of the planet. 183 00:09:55,000 --> 00:09:57,000 So we started up this interspecies Internet project. 184 00:09:57,000 --> 00:09:59,000 Now we started talking with TED 185 00:09:59,000 --> 00:10:01,000 about how you bring dolphins and great apes and elephants 186 00:10:01,000 --> 00:10:04,000 to TED, and we realized that wouldn't work. 187 00:10:04,000 --> 00:10:06,000 So we're going to bring you to them. 188 00:10:06,000 --> 00:10:09,000 So if we could switch to the audio from this computer, 189 00:10:09,000 --> 00:10:12,000 we've been video conferencing with cognitive animals, 190 00:10:12,000 --> 00:10:13,000 and we're going to have each of them 191 00:10:13,000 --> 00:10:15,000 just briefly introduce them. 192 00:10:15,000 --> 00:10:17,000 And so if we could also have this up, great. 193 00:10:17,000 --> 00:10:19,000 So the first site we're going to meet 194 00:10:19,000 --> 00:10:22,000 is Cameron Park Zoo in Waco, with orangutans. 195 00:10:22,000 --> 00:10:25,000 In the daytime they live outside. It's nighttime there now. 196 00:10:25,000 --> 00:10:28,000 So can you please go ahead? 197 00:10:28,000 --> 00:10:31,000 Terri Cox: Hi, I'm Terri Cox 198 00:10:31,000 --> 00:10:33,000 with the Cameron Park Zoo in Waco, Texas, 199 00:10:33,000 --> 00:10:37,000 and with me I have KeraJaan and Mei, 200 00:10:37,000 --> 00:10:39,000 two of our Bornean orangutans. 201 00:10:39,000 --> 00:10:44,000 During the day, they have a beautiful, large outdoor habitat, 202 00:10:44,000 --> 00:10:47,000 and at night, they come into this habitat, 203 00:10:47,000 --> 00:10:48,000 into their night quarters, 204 00:10:48,000 --> 00:10:50,000 where they can have a climate-controlled 205 00:10:50,000 --> 00:10:52,000 and secure environment to sleep in. 206 00:10:52,000 --> 00:10:57,000 We participate in the Apps for Apes program 207 00:10:57,000 --> 00:11:00,000 Orangutan Outreach, and we use iPads 208 00:11:00,000 --> 00:11:02,000 to help stimulate and enrich the animals, 209 00:11:02,000 --> 00:11:04,000 and also help raise awareness 210 00:11:04,000 --> 00:11:06,000 for these critically endangered animals. 211 00:11:06,000 --> 00:11:11,000 And they share 97 percent of our DNA 212 00:11:11,000 --> 00:11:12,000 and are incredibly intelligent, 213 00:11:12,000 --> 00:11:16,000 so it's so exciting to think of all the opportunities 214 00:11:16,000 --> 00:11:19,000 that we have via technology and the Internet 215 00:11:19,000 --> 00:11:23,000 to really enrich their lives and open up their world. 216 00:11:23,000 --> 00:11:25,000 We're really excited about the possibility 217 00:11:25,000 --> 00:11:27,000 of an interspecies Internet, 218 00:11:27,000 --> 00:11:31,000 and K.J. has been enjoying the conference very much. 219 00:11:31,000 --> 00:11:33,000 NG: That's great. When we were rehearsing last night, 220 00:11:33,000 --> 00:11:35,000 he had fun watching the elephants. 221 00:11:35,000 --> 00:11:39,000 Next user group are the dolphins at the National Aquarium. 222 00:11:39,000 --> 00:11:41,000 Please go ahead. 223 00:11:41,000 --> 00:11:42,000 Allison Ginsburg: Good evening. 224 00:11:42,000 --> 00:11:43,000 Well, my name is Allison Ginsburg, 225 00:11:43,000 --> 00:11:46,000 and we're live in Baltimore at the National Aquarium. 226 00:11:46,000 --> 00:11:50,000 Joining me are three of our eight Atlantic bottlenose dolphins: 227 00:11:50,000 --> 00:11:53,000 20-year-old Chesapeake, who was our first dolphin born here, 228 00:11:53,000 --> 00:11:56,000 her four-year-old daughter Bayley, 229 00:11:56,000 --> 00:12:00,000 and her half sister, 11-year-old Maya. 230 00:12:00,000 --> 00:12:01,000 Now, here at the National Aquarium 231 00:12:01,000 --> 00:12:04,000 we are committed to excellence in animal care, 232 00:12:04,000 --> 00:12:07,000 to research, and to conservation. 233 00:12:07,000 --> 00:12:10,000 The dolphins are pretty intrigued as to what's going on here tonight. 234 00:12:10,000 --> 00:12:12,000 They're not really used to having cameras here 235 00:12:12,000 --> 00:12:14,000 at 8 o'clock at night. 236 00:12:14,000 --> 00:12:16,000 In addition, we are very committed to doing 237 00:12:16,000 --> 00:12:18,000 different types of research. 238 00:12:18,000 --> 00:12:21,000 As Diana mentioned, our animals are involved 239 00:12:21,000 --> 00:12:24,000 in many different research studies. 240 00:12:34,000 --> 00:12:38,000 NG: Those are for you. 241 00:12:38,000 --> 00:12:40,000 Okay, that's great, thank you. 242 00:12:40,000 --> 00:12:43,000 And the third user group, in Thailand, 243 00:12:43,000 --> 00:12:47,000 is Think Elephants. Go ahead, Josh. 244 00:12:47,000 --> 00:12:49,000 Josh Plotnik: Hi, my name is Josh Plotnik, 245 00:12:49,000 --> 00:12:52,000 and I'm with Think Elephants International, 246 00:12:52,000 --> 00:12:54,000 and we're here in the Golden Triangle of Thailand 247 00:12:54,000 --> 00:12:57,000 with the Golden Triangle Asian Elephant Foundation elephants. 248 00:12:57,000 --> 00:13:00,000 And we have 26 elephants here, 249 00:13:00,000 --> 00:13:04,000 and our research is focused on the evolution of intelligence with elephants, 250 00:13:04,000 --> 00:13:06,000 but our foundation Think Elephants is focused 251 00:13:06,000 --> 00:13:09,000 on bringing elephants into classrooms around the world 252 00:13:09,000 --> 00:13:11,000 virtually like this and showing people 253 00:13:11,000 --> 00:13:13,000 how incredible these animals are. 254 00:13:13,000 --> 00:13:16,000 So we're able to bring the camera right up to the elephant, 255 00:13:16,000 --> 00:13:18,000 put food into the elephant's mouth, 256 00:13:18,000 --> 00:13:20,000 show people what's going on inside their mouths, 257 00:13:20,000 --> 00:13:22,000 and show everyone around the world 258 00:13:22,000 --> 00:13:25,000 how incredible these animals really are. 259 00:13:25,000 --> 00:13:28,000 NG: Okay, that's great. Thanks Josh. 260 00:13:28,000 --> 00:13:30,000 And once again, we've been building great relationships 261 00:13:30,000 --> 00:13:32,000 among them just since we've been rehearsing. 262 00:13:32,000 --> 00:13:35,000 So at that point, if we can go back to the other computer, 263 00:13:35,000 --> 00:13:37,000 we were starting to think about how you integrate 264 00:13:37,000 --> 00:13:40,000 the rest of the biomass of the planet into the Internet, 265 00:13:40,000 --> 00:13:43,000 and we went to the best possible person 266 00:13:43,000 --> 00:13:46,000 I can think of, which is Vint Cerf, 267 00:13:46,000 --> 00:13:49,000 who is one of the founders who gave us the Internet. Vint? 268 00:13:49,000 --> 00:13:51,000 VC: Thank you, Neil. 269 00:13:51,000 --> 00:13:55,000 (Applause) 270 00:13:55,000 --> 00:14:00,000 A long time ago in a galaxy — oops, wrong script. 271 00:14:00,000 --> 00:14:02,000 Forty years ago, Bob Kahn and I 272 00:14:02,000 --> 00:14:04,000 did the design of the Internet. 273 00:14:04,000 --> 00:14:06,000 Thirty years ago, we turned it on. 274 00:14:06,000 --> 00:14:10,000 Just last year, we turned on the production Internet. 275 00:14:10,000 --> 00:14:12,000 You've been using the experimental version 276 00:14:12,000 --> 00:14:13,000 for the last 30 years. 277 00:14:13,000 --> 00:14:16,000 The production version, it uses IP version 6. 278 00:14:16,000 --> 00:14:21,000 It has 3.4 times 10 to the 38th possible terminations. 279 00:14:21,000 --> 00:14:25,000 That's a number only that Congress can appreciate. 280 00:14:25,000 --> 00:14:29,000 But it leads to what is coming next. 281 00:14:29,000 --> 00:14:31,000 When Bob and I did this design, 282 00:14:31,000 --> 00:14:35,000 we thought we were building a system to connect computers together. 283 00:14:35,000 --> 00:14:37,000 What we very quickly discovered 284 00:14:37,000 --> 00:14:40,000 is that this was a system for connecting people together. 285 00:14:40,000 --> 00:14:42,000 And what you've seen tonight 286 00:14:42,000 --> 00:14:46,000 tells you that we should not restrict this network 287 00:14:46,000 --> 00:14:49,000 to one species, 288 00:14:49,000 --> 00:14:52,000 that these other intelligent, sentient species 289 00:14:52,000 --> 00:14:55,000 should be part of the system too. 290 00:14:55,000 --> 00:14:57,000 This is the system as it looks today, by the way. 291 00:14:57,000 --> 00:15:00,000 This is what the Internet looks like to a computer 292 00:15:00,000 --> 00:15:03,000 that's trying to figure out where the traffic 293 00:15:03,000 --> 00:15:04,000 is supposed to go. 294 00:15:04,000 --> 00:15:07,000 This is generated by a program 295 00:15:07,000 --> 00:15:10,000 that's looking at the connectivity of the Internet, 296 00:15:10,000 --> 00:15:13,000 and how all the various networks are connected together. 297 00:15:13,000 --> 00:15:16,000 There are about 400,000 networks, interconnected, 298 00:15:16,000 --> 00:15:21,000 run independently by 400,000 different operating agencies, 299 00:15:21,000 --> 00:15:22,000 and the only reason this works 300 00:15:22,000 --> 00:15:26,000 is that they all use the same standard TCP/IP protocols. 301 00:15:26,000 --> 00:15:29,000 Well, you know where this is headed. 302 00:15:29,000 --> 00:15:31,000 The Internet of Things tell us 303 00:15:31,000 --> 00:15:35,000 that a lot of computer-enabled appliances and devices 304 00:15:35,000 --> 00:15:38,000 are going to become part of this system too: 305 00:15:38,000 --> 00:15:40,000 appliances that you use around the house, 306 00:15:40,000 --> 00:15:42,000 that you use in your office, 307 00:15:42,000 --> 00:15:45,000 that you carry around with yourself or in the car. 308 00:15:45,000 --> 00:15:47,000 That's the Internet of Things that's coming. 309 00:15:47,000 --> 00:15:50,000 Now, what's important about what these people are doing 310 00:15:50,000 --> 00:15:52,000 is that they're beginning to learn 311 00:15:52,000 --> 00:15:55,000 how to communicate with species 312 00:15:55,000 --> 00:15:57,000 that are not us 313 00:15:57,000 --> 00:16:00,000 but share a common sensory environment. 314 00:16:00,000 --> 00:16:02,000 We're beginning to explore what it means 315 00:16:02,000 --> 00:16:04,000 to communicate with something 316 00:16:04,000 --> 00:16:06,000 that isn't just another person. 317 00:16:06,000 --> 00:16:09,000 Well, you can see what's coming next. 318 00:16:09,000 --> 00:16:12,000 All kinds of possible sentient beings 319 00:16:12,000 --> 00:16:13,000 may be interconnected through this system, 320 00:16:13,000 --> 00:16:17,000 and I can't wait to see these experiments unfold. 321 00:16:17,000 --> 00:16:19,000 What happens after that? 322 00:16:19,000 --> 00:16:21,000 Well, let's see. 323 00:16:21,000 --> 00:16:25,000 There are machines that need to talk to machines 324 00:16:25,000 --> 00:16:28,000 and that we need to talk to, and so as time goes on, 325 00:16:28,000 --> 00:16:30,000 we're going to have to learn 326 00:16:30,000 --> 00:16:31,000 how to communicate with computers 327 00:16:31,000 --> 00:16:34,000 and how to get computers to communicate with us 328 00:16:34,000 --> 00:16:36,000 in the way that we're accustomed to, 329 00:16:36,000 --> 00:16:39,000 not with keyboards, not with mice, 330 00:16:39,000 --> 00:16:41,000 but with speech and gestures 331 00:16:41,000 --> 00:16:44,000 and all the natural human language that we're accustomed to. 332 00:16:44,000 --> 00:16:46,000 So we'll need something like C3PO 333 00:16:46,000 --> 00:16:49,000 to become a translator between ourselves 334 00:16:49,000 --> 00:16:51,000 and some of the other machines we live with. 335 00:16:51,000 --> 00:16:54,000 Now, there is a project that's underway 336 00:16:54,000 --> 00:16:56,000 called the interplanetary Internet. 337 00:16:56,000 --> 00:16:58,000 It's in operation between Earth and Mars. 338 00:16:58,000 --> 00:17:01,000 It's operating on the International Space Station. 339 00:17:01,000 --> 00:17:05,000 It's part of the spacecraft that's in orbit around the Sun 340 00:17:05,000 --> 00:17:07,000 that's rendezvoused with two planets. 341 00:17:07,000 --> 00:17:09,000 So the interplanetary system is on its way, 342 00:17:09,000 --> 00:17:11,000 but there's a last project, 343 00:17:11,000 --> 00:17:14,000 which the Defense Advanced Research Projects Agency, 344 00:17:14,000 --> 00:17:16,000 which funded the original ARPANET, 345 00:17:16,000 --> 00:17:19,000 funded the Internet, funded the interplanetary architecture, 346 00:17:19,000 --> 00:17:22,000 is now funding a project to design a spacecraft 347 00:17:22,000 --> 00:17:27,000 to get to the nearest star in 100 years' time. 348 00:17:27,000 --> 00:17:29,000 What that means is that what we're learning 349 00:17:29,000 --> 00:17:31,000 with these interactions with other species 350 00:17:31,000 --> 00:17:33,000 will teach us, ultimately, 351 00:17:33,000 --> 00:17:37,000 how we might interact with an alien from another world. 352 00:17:37,000 --> 00:17:40,000 I can hardly wait. 353 00:17:40,000 --> 00:17:47,000 (Applause) 354 00:17:47,000 --> 00:17:48,000 June Cohen: So first of all, thank you, 355 00:17:48,000 --> 00:17:51,000 and I would like to acknowledge that four people 356 00:17:51,000 --> 00:17:53,000 who could talk to us for full four days 357 00:17:53,000 --> 00:17:55,000 actually managed to stay to four minutes each, 358 00:17:55,000 --> 00:17:56,000 and we thank you for that. 359 00:17:56,000 --> 00:17:58,000 I have so many questions, 360 00:17:58,000 --> 00:18:00,000 but maybe a few practical things that the audience might want to know. 361 00:18:00,000 --> 00:18:04,000 You're launching this idea here at TED — PG: Today. 362 00:18:04,000 --> 00:18:05,000 JC: Today. This is the first time you're talking about it. 363 00:18:05,000 --> 00:18:07,000 Tell me a little bit about where you're going to take the idea. 364 00:18:07,000 --> 00:18:09,000 What's next? 365 00:18:09,000 --> 00:18:12,000 PG: I think we want to engage as many people 366 00:18:12,000 --> 00:18:14,000 here as possible in helping us 367 00:18:14,000 --> 00:18:18,000 think of smart interfaces that will make all this possible. 368 00:18:18,000 --> 00:18:20,000 NG: And just mechanically, 369 00:18:20,000 --> 00:18:22,000 there's a 501(c)(3) and web infrastructure 370 00:18:22,000 --> 00:18:24,000 and all of that, but it's not quite ready to turn on, 371 00:18:24,000 --> 00:18:26,000 so we'll roll that out, and contact us 372 00:18:26,000 --> 00:18:28,000 if you want the information on it. 373 00:18:28,000 --> 00:18:31,000 The idea is this will be -- much like the Internet functions 374 00:18:31,000 --> 00:18:32,000 as a network of networks, 375 00:18:32,000 --> 00:18:34,000 which is Vint's core contribution, 376 00:18:34,000 --> 00:18:36,000 this will be a wrapper around all of these initiatives, 377 00:18:36,000 --> 00:18:39,000 that are wonderful individually, to link them globally. 378 00:18:39,000 --> 00:18:40,000 JC: Right, and do you have a web address 379 00:18:40,000 --> 00:18:41,000 that we might look for yet? 380 00:18:41,000 --> 00:18:44,000 NG: Shortly. JC: Shortly. We will come back to you on that. 381 00:18:44,000 --> 00:18:48,000 And very quickly, just to clarify. 382 00:18:48,000 --> 00:18:50,000 Some people might have looked at the video that you showed 383 00:18:50,000 --> 00:18:51,000 and thought, well, that's just a webcam. 384 00:18:51,000 --> 00:18:52,000 What's special about it? 385 00:18:52,000 --> 00:18:54,000 If you could talk for just a moment 386 00:18:54,000 --> 00:18:56,000 about how you want to go past that? 387 00:18:56,000 --> 00:18:59,000 NG: So this is scalable video infrastructure, 388 00:18:59,000 --> 00:19:02,000 not for a few to a few but many to many, 389 00:19:02,000 --> 00:19:05,000 so that it scales to symmetrical video sharing 390 00:19:05,000 --> 00:19:08,000 and content sharing across these sites around the planet. 391 00:19:08,000 --> 00:19:11,000 So there's a lot of back-end signal processing, 392 00:19:11,000 --> 00:19:13,000 not for one to many, but for many to many. 393 00:19:13,000 --> 00:19:15,000 JC: Right, and then on a practical level, 394 00:19:15,000 --> 00:19:16,000 which technologies are you looking at first? 395 00:19:16,000 --> 00:19:20,000 I know you mentioned that a keyboard is a really key part of this. 396 00:19:20,000 --> 00:19:23,000 DR: We're trying to develop an interactive touch screen for dolphins. 397 00:19:23,000 --> 00:19:25,000 This is sort of a continuation of some of the earlier work, 398 00:19:25,000 --> 00:19:29,000 and we just got our first seed money today towards that, 399 00:19:29,000 --> 00:19:30,000 so it's our first project. 400 00:19:30,000 --> 00:19:32,000 JC: Before the talk, even. DR: Yeah. 401 00:19:32,000 --> 00:19:33,000 JC: Wow. Well done. 402 00:19:33,000 --> 00:19:35,000 All right, well thank you all so much for joining us. 403 00:19:35,000 --> 00:19:38,000 It's such a delight to have you on the stage. 404 00:19:38,000 --> 00:19:39,000 DR: Thank you. VC: Thank you. 405 00:19:39,000 --> 00:19:44,000 (Applause)