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Breakpoint_Why the Web will Implode, Search will be Obsolete, and Everything Else you Need to Know about Technology is in Your Brain

Page 23

by Jeff Stibel

Google Glass, 167

  Google Maps, 90–1

  Google+, 73–4, 92

  headquarters, 41

  Knowledge Graph, 89–90

  search algorithms of, 15, 85–90, 139, 145–6

  See also Mayer, Marissa

  Gordon, Deborah, 7–9, 11–14, 22, 49–50, 136–7, 210–14n

  growth phase of networks, 18–19. See also breakpoint; carrying capacity; hypergrowth

  Gutenberg, Johannes, 62

  Hamlet, 116

  Hastings, Reed, 152

  Hawks, John, 159, 232n

  Herculano-Houzel, Suzana, 38–9,

  216n

  Hoffman, Reid, 133, 229n

  Hofstadter, Douglas, 195, 238n

  Hölldobler, Bert, 184, 214n, 235n

  Homer, 170, 234n

  Homo erectus, 159

  Homo sapiens, 182, 184

  Horowitz, Bradley, 73, 222n

  horses, 24

  HRP–4, 171, 234n, 213n

  Hwai-Jong Cheng

  hypergrowth, 4–5, 18, 35, 67, 105, 107, 110, 114–15, 120–1

  hyperthymesia, 51–2

  IBM, 41, 45, 172, 176

  ideas, 4, 48–9, 51–4, 149, 161–3, 218n

  Indiegogo, 113, 169

  industrial revolution, 162, 186, 233n

  information overload, 3, 152

  Instagram, 19, 72, 74–5, 121, 222n

  InteraXon, 169

  internet:

  ARPA and, 31–2

  breakpoint of, 6, 34–6, 56–9, 62

  carrying capacity of, 35–7, 45, 53–6, 71

  compared to ant colony, 15

  compared to human brain, 189–201

  Ethernet and, 31

  growth of, 18–19, 39–40

  history of, 13–15, 31–7

  IXPs and, 32

  modularity of, 40–2

  NSF and, 32

  physicality of, 32–3

  TCP and, 14–16, 31, 40

  of things, 214n, 215n

  Internet Exchange Points (IXPs), 32

  intuition, 199–200

  iPad, 58

  iPhone, 58, 95, 220n

  islands, 1, 22, 27–32, 34–7, 57, 126, 209n, 214

  James, E. L., 109

  Jobs, Steve, 83

  JOBS Act (2012), 115

  Kasparov, Gary, 176

  Kelly, Kevin, 76–7, 93, 223n, 234n

  Kickstarter, 113–15, 226n

  Kittur, Aniket, 107

  Kiva, 113–14

  Klein, David R., 209n

  Klein, Karen, 113, 226n

  knowledge, 3

  Knowledge Graph, 89–90

  Kosmo, 123

  Kurzweil, Ray, 175

  language:

  acquisition of, 140–2, 148, 230n

  barriers, 137–8, 155

  interfaces, 95–6

  linguistics, 140, 142, 156

  memory storage of, 60

  of the mind, 11

  search as driver for, 88

  synsets and, 144–5, 153–4

  translation, 156

  universal, 155–6

  Last.fm, 133

  Lenat, Doug, 199, 238n

  Lending Club, 114

  Leontiadis, Dr. Ilias, 227

  Lexxe, 96

  Ling, Dr. Geoffrey, 165

  linguists, 140, 142, 156

  LinkedIn, 72, 122, 128, 132, 229n

  links of neurons, 15, 60–2, 70, 74, 87, 97

  Louis XV, King, 99–103

  Low, Lawrence K., 231n

  Mahalo, 92

  Margolis, Howard, 195

  Mayer, Marissa, 81–4, 88, 90, 94–5, 223n

  memory, human, 15, 42, 49–56, 60, 143, 197–200

  Metcalfe, Bob, 35–6, 216n

  microfinancing, 114

  microloan, 114

  Microsoft, 41, 82, 124

  Mill, John Stuart, 131

  Miller, George, 142, 144, 146–7, 217n, 230–1n

  mirror neurons, 146–50, 152, 154–5, 231–2n

  modems, 36–7

  Moffett, Mark, 184

  monopolies, 19, 131–2

  Moreira, Aldenise A., 236

  Morse, Samuel, 43

  Murray, James, 107–9, 225n

  Musk, Elon, 169

  myelin sheaths, 43

  MySpace, 21–2, 67–71, 92, 129–30, 132, 214n

  Naked Pizza, 131, 229n

  nano-cameras, 33

  National Science Foundation (NSF), 32

  natural disaster relief, 113

  natural monopolies, 131–2

  natural selection, 19, 61, 118, 137, 160, 188, 171, 175, 184, 210n, 218n

  Necomimi, 169

  Netflix, 14, 39–40, 77, 112, 123, 151–2, 155, 226n, 231–2n

  Netscape, 85, 124

  network curve, 16–17

  network revolution, 157, 186–8

  networks:

  efficiency vs. size of, 30–1

  of neurons, 10–11, 23, 47, 51–2, 222n

  of roads, 125–6, 228n

  social, 67–80, 130, 184–5

  three phases of, 18–25

  See also breakpoint; carrying capacity

  Neurogrid, chip, 44–5, 217n

  neurons:

  carrying capacity and, 30, 51–2

  cellular suicide and, 12, 62, 71, 218n

  compared to computers, 15, 142–3, 189–91, 193–4, 197

  cooking as reason for increased quantity of, 38–9

  as crowdsourcing, 101–2

  dopamine, 197, 238n

  electricity and, 156–7, 163

  fallibility of, 44, 217n

  human development and, 5, 18, 20, 140, 213n

  intelligence and, 23

  links of, 15, 60–2, 70, 74, 87, 97

  memory and, 15, 51–2

  mirror, 146–50, 152, 154–5, 231–2n

  myelin and, 43–4

  network of, 10–11, 23, 47, 51–2, 222n

  neurogenesis, 18

  neuronal feedback, 15

  number of, 10–11, 173, 194, 212n, 216n, 234–5n

  on/off processing of, 11, 47, 169,

  174

  oversimplification of, 174–5

  search and, 97

  structure of, 15, 192

  synthetic, 201

  neuroscience, 102, 146–7, 212n. See also brain, human; neurons

  NeuroSky, 168

  neurowear, 169–70, 234n

  New York City, 23–5

  Nina, 96

  NSFnet, 32

  Nuance, 96

  Obama, Barack, 113–15

  obesity, 3

  O’Connell, Michael, 211

  oDesk, 111, 226n

  open source software, 103

  overshoot of carrying capacity, 20, 22, 30, 45, 83, 119, 186, 214n

  Oxford English Dictionary, 107–8, 225n

  Page, Carl Victor, 87

  Page, Larry, 85, 87, 122

  Palmer, Amanda, 114, 226n

  parallel processing, 42, 191, 198, 237n, 238n

  Path, 70

  PayPal, 133

  Peapod, 123–4, 228n

  Pearce, Mick, 181–2, 236n

  Pelley, Scott, 165–6

  Penfield, Wilder, 140

  Pepsi, 78

  Pinker, Steven, 140–2, 151, 198

  Pinterest, 72, 76

  Plato, 170, 198

 
; Ponzi schemes, 36

  Price, Jill, 51–2, 56, 218n

  printing press, 24, 63, 161, 186

  Proganochelys, 118, 227

  psychic activity, 162–4, 166

  Quora, 93, 109–10

  Ramachandran, V. S., 147, 231n

  Read, Leonard, 183

  Redfin, 96

  reindeer on St. Matthew Island, 1–3, 22, 34–5, 57, 126, 209n, 214n

  reverse engineering, 149, 172–5

  Ridley, Matt, 184

  Rizzollati, Giacomo, 146–7

  robotics, 165–6, 170–1, 175–6, 234n

  Rosen, Larry, 55

  St. Matthew Island, 1, 22, 34–5, 57, 209n, 214

  Scheuermann, Jan, 164–7, 233n

  Schindler, Mathias, 106, 225n

  Schmidt, Erik, 200

  sea squirts, 117–18, 133, 226n

  Seabright, Paul, 221n

  search engines, 56, 59, 85–97, 139, 143, 146. See also Google; Yahoo!

  Shah, Devavrat, 152

  Shakespeare, William, 116

  sharks, 118, 195, 227n

  Shaw, George Bernard, 137

  Sieberg, Daniel, 55

  singularity, 175–7, 235n

  Siri, 95–6, 143

  SixApart

  slave-making ants, 48–50, 217n

  Slutsky, Irina, 224n

  SmartCap, 167–8

  social care, 112

  social networks, 67–80, 130, 184–5.

  See also specific social media networks

  SocialNet, 133

  Soviet Union, 31, 65

  Sparked, 33, 112–13

  Spaun, 200–1, 239n

  spreading activation, 97, 145, 153, 231n

  Sputnik, 31

  Stabler, Ed, 139, 230n

  StartSomeGood, 113

  Stork, Dr. David, 211n

  Surowiecki, James, 110, 225n

  Swingly, 96

  synsets, 144–5, 153–4

  Taco Bell, 79

  termites, 181–2, 236–7n

  Tesla, 169–70, 234n

  Topoff, Howard, 217n

  Townsend, James, 237n

  traffic jams, 125–6, 228n

  Transmission Control Protocol (TCP), 14–16, 31, 40, 125, 212n

  Trulia, 96

  Tumblr, 75

  turtles, 118, 227

  Twitter:

  ant communication compared to, 11, 211n

  Instagram and, 75

  lack of hierarchical structure of, 80

  lawyers’ monitoring of, 77

  marketing and, 78–9, 131

  simplicity of, 73–4

  weighted links and, 61

  venture capital (VC), 121–3, 124, 144

  von Neumann, John, 175–6, 235n

  Wales, Jimmy, 104

  Watson computer, 172, 176

  Webvan, 123, 228n

  West, Kanye, 78

  Wikia, 133

  Wikimedia Foundation, 105–6, 224–5n

  Wikipedia, 89, 93, 96, 103–11, 211n, 223–5n

  Wilson, Edward O., 211n, 214n, 218n, 235n

  Winograd, Terry, 87

  wisdom, 149–50, 170, 199–200

  wisdom of crowds, 103, 107, 109–10, 112–13

  Wolfram Alpha, 89

  WordNet, 142–8, 153–4, 231n

  World Wide Web. See internet

  Wrangham, Richard, 38, 216n

  Wright brothers, 173

  Yahoo!, 67, 82, 84–8, 90, 94, 109, 122, 223n

  Yang, Jerry, 84, 122

  Yelp, 58, 72, 78, 93, 96

  Young, Dr. Kimberly, 55

  Young, Susan, 233n

  YouTube, 14, 43, 79, 154, 212n, 232n, 235n

  Zeo, 168, 234n

  Zuckerberg, Mark, 68, 75, 110, 122, 128, 130, 222n, 224n, 229n

  Zwiebel, Laurence, 136

  Zynga, 133

 

 

 


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