In The Plex

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In The Plex Page 58

by Steve Levy


  Google Catalogs, 348

  Google Checkout, 229, 242

  Google China, see China

  Google Chrome, 208–12, 220, 221, 228, 319, 321, 354

  “Google dance,” 56

  Google Desktop, 205

  Google Docs, 203, 210, 211

  Google Earth, 239–40, 299, 340

  Google Elections Team, 318, 321

  Google Fellows, 49

  Google Fiber for Communities, 327

  Google File System, 184

  Google Flu Trends, 258

  Google Goes to the Movies, 265

  Google Goggles, 232

  Google Grants, 98

  Google Help Forums, 231

  Google Image Search, 382

  Google Instant, 68

  Google Latitude, 338–40, 374

  Google Libraries, 357–58, 359

  Google Maps, 219, 227, 240, 298–99, 318, 338, 340, 383

  Google News, 58, 124, 239

  Google.org, 241, 257

  Google Pack, 205

  Google Print, 356–57, 359

  Google Product Client Group, 204

  Google Product Strategy (GPS) meetings, 6, 135, 171

  Google Quick Search Box, 78

  Google Scholar, 58

  Google Security Team, 267–70

  Google settlement, 9–11

  Google Street View, 340–43, 383, 384, 385

  Google Suggest, 306–7

  Google Talk, 233, 322, 375

  Google Toolbar, 204–5, 233, 234

  Google University, 136

  Google Video, 242–47, 249, 261, 263, 429–30

  Google Voice, 234, 236

  Google Wave, 376–77, 379

  Google Website Optimizer, 320

  Google Zeitgeist, 46, 249, 253

  googolplex, 31, 43

  Gordon, Cathy, 195–96, 356, 359

  Gore, Al, 177, 218, 237, 278, 352

  GoTo, 87–89, 99, 102

  Gphone, 218, 222, 226

  GPS device, 229, 232, 338

  Graham, Bill, 353

  GrandCentral, 233–34, 236

  Griffin, Denise, 130, 173–75, 231

  Gross, Bill, 87–89, 95, 98, 102–3

  Grove, Andy, 80, 163, 325

  Gu, Xuemei, 290–92, 308, 312

  Gundotra, Vic, 219–20, 232, 337, 377, 382–83

  Gutenberg, Johannes, 347

  Hackborn, Dianne, 217

  Haiti, earthquake in, 325–26

  Hamoui, Omar, 227

  Hanke, John, 239

  Harding, Matt, 243

  Harik, Georges, 100–102, 105, 127, 139

  Harvard University, 357, 358

  Hassan, Scott, 17–18, 22, 28, 29, 30, 32

  Haugen, Frances, 351

  Heath, Taliver, 323

  Heilemann, John, 356

  Hendrix, Jimi, 76

  Hertzfeld, Andy, 206

  Hewlett-Packard, 37, 124, 181

  Hölzle, Urs, 76, 100, 125, 162, 182, 257, 379

  and cloud computing, 180

  and data centers, 188–90, 194, 198

  hired by Google, 36–37, 38

  on speed, 185–87

  Urs-Quake of, 381–82

  Horowitz, Bradley, 211, 376–78, 379, 382

  Horvath, Jane, 335, 338

  HTC, 214, 226, 228, 230, 237

  HTML 5, 212

  Huber, Jeff, 116

  Huffman, Scott, 61

  Hulu, 260–61

  Hurley, Chad, 243–44, 247–51, 260, 264

  HyperCard, 15

  hypertext connections, 15, 27

  IBM, 24, 25–26, 63, 286

  Idealab, 87–88, 99

  indexing, 20, 21–22, 26, 41–43

  checkpointing in, 43

  comprehensiveness in, 52–53

  in-RAM system, 43–44, 47–48

  mirror worlds in, 60

  updating, 45, 56

  information retrieval (IR), 20, 22, 110, 239

  Inktomi, 36, 44, 88, 290

  innovator’s dilemma, 98–99

  Intel, 163, 167, 218

  intellectual property (IP), 88–89, 176, 221

  Internet:

  bottom-up management of, 158

  in China, 273, 279, 284, 285, 305, 308, 311, 313, 324

  and cloud computing, 180–81

  and copyright issues, 355, 367

  disruptive platform of, 275

  and Haiti earthquake, 325–26

  net neutrality, 222, 383–84

  and news, 239

  open spectrum on, 15, 222–25, 329–30, 333, 334, 383–84

  profitability of, 69–71

  redefining commerce, 117

  and social networking, 369–83

  and user data, 334–36

  values of, 322, 367

  video, 242–52, 265

  wireless service, 223

  Internet Archive, 362

  Ivester, Devin, 135, 141

  Java, 17–18

  JavaScript, 53, 105, 168, 169, 208, 209

  Jen, Mark, 164–65

  Jobs, Steve, 75, 80, 143, 209–10, 218–22, 237–38

  Jones, Mike, 328, 340–42

  JotSpot, 201

  Joy, Bill, 28

  Justice Department, U.S., 236, 331, 344–47, 364, 365–66

  Kahle, Brewster, 362, 365

  Kamangar, Salar, 71–72, 74, 233, 235

  and advertising, 86, 89, 91–92, 109, 113

  and business plan, 72, 75, 201

  and Google motto, 143–44

  and YouTube, 248, 260–65

  Karen, Alana, 97–98

  Karim, Jawed, 243, 247, 250

  Kay, Erik, 207

  Keyhole, 239–40, 340

  Keyword Pricing Index, 118

  Khosla, Vinod, 28, 29

  Kim, Jini, 166

  Klau, Rick, 312, 318

  Kleinberg, Jon, 24–26, 34, 38, 292

  Knol, 240

  Knuth, Donald, 14

  Kohl, Herb, 332

  Koogle, Timothy, 44

  Kordestani, Omid, 75–76, 78, 81, 96, 97, 130, 155, 242

  Krane, David, 69–70, 143, 144–45, 150, 156

  Kraus, Joe, 28, 136, 201, 374–75

  Kundra, Vivek, 322, 326

  Kurzweil, Raymond, 66

  language, translations, 55, 62–65

  Lantos, Tom, 285–87

  Larson, Mark, 208

  Leach, Jim, 286

  Lee, Kai-Fu:

  and China office, 4, 281–83, 289–90, 291, 292, 293, 294, 296, 298, 302, 303, 305, 307–8, 313

  departure of, 307–8, 312

  Lee, Steve, 338–39

  Lenat, Douglas, 47

  Leonard, Herman, 117

  Lessig, Lawrence, 359, 360, 363

  Levick, Jeff, 96, 110–11, 112–13

  Levinson, Arthur, 218, 237

  Li, Mark, 293, 298–99

  Li, Robin (Yanhong), 26–27, 278, 292, 293, 298

  Library of Congress, 352, 361

  Liebman, Jason, 103–5

  LinkAds, 102–3

  Linux, 78, 182, 210

  Litvack, Sanford “Sandy,” 345, 347

  Liu, John, 296

  Liu, Jun, 294, 303–4

  long-tail businesses, 85, 105, 107, 118, 243, 334

  Lu, Qi, 380

  Lucovsky, Mark, 283

  Luk, Ben, 290, 302

  Maarek, Yoelle, 272

  MacDonald, Brian, 380

  Macgillivray, Alex “AMac,” 353–55

  machine learning, 64–66, 100–101, 385

  Malone, Kim (Scott), 107–8, 135

  Manber, Udi, 44, 45, 57–58, 68, 240, 355, 380

  MapReduce, 199–200

  Marconi International Fellowship Award, 278

  Markoff, John, 193

  Matias, Yossi, 272

  Mayer, Marissa, 36, 41, 381

  and advertising, 78–79

  and APM program, 1, 4, 5, 161–62, 259

  and books, 348–50, 358, 365

  and Gmail, 1
70–71

  and Google culture, 121, 122, 126–27, 141, 142, 163, 164, 365

  and Google motto, 143–44

  and Google’s look, 206–7

  and management structure, 160, 235

  and social networking, 371–73, 375

  and stock price, 155, 156–57

  McCaffrey, Cindy, 3, 76, 77, 145, 150, 153, 164

  McCarthy, John, 127

  McLaughlin, Andrew:

  and China, 276–79, 283–84, 303, 304

  and Obama administration, 316, 321, 322–23, 325–26, 327

  and privacy, 176–78, 379

  memex, 15, 44

  Merrill, Douglas, 183

  Mi, James, 276

  Microsoft:

  and antitrust issues, 331–32, 344–45

  and aQuantive, 331

  Bing search engine, 186, 380–81

  and books, 361, 363

  and browser wars, 206, 283

  and China, 281, 282, 283, 284, 285, 304

  and competition, 70, 191, 197, 200–212, 218, 220, 266, 282–83, 331, 344–47, 363, 380–81

  and Danger, 214

  data centers of, 190

  and disclosure, 108

  and email, 168, 169, 179–80

  Excel, 200

  and Facebook, 370

  Hotmail, 30, 168, 172, 180, 209

  IE 7, 209

  Internet Explorer, 204–7

  and mapping, 342

  monopolies of, 200, 331–32, 364

  Office, 200, 202, 203

  Outlook, 169

  PowerPoint, 200, 203

  and user data, 335

  and values, 144

  WebTV, 217

  Windows, 200, 210, 212, 219, 331

  Windows Mobile, 220

  Word, 200

  and Yahoo, 343–44, 346, 380

  of yesterday, 369

  MIDAS (Mining Data at Stanford), 16

  Milgrom, Paul, 90

  Miner, Rich, 215, 216

  Mobile Accord, 325

  mobile phones, 214–17, 219–22, 251

  Moderator, 323–24

  Mohan, Neal, 332, 336

  Monier, Louis, 19, 20, 37

  Montessori, Maria, 121, 124, 166

  Montessori schools, 121–25, 129, 138, 149

  Moonves, Leslie, 246

  Moore’s Law, 169, 180, 261

  Morgan Stanley, 149, 157

  Moritz, Mike, 32, 73–74, 80, 147, 247–48, 249

  Morozov, Evgeny, 379

  Morris, Doug, 261

  Mossberg, Walt, 94

  Mowani, Rajeev, 38

  Mozilla Firefox, 204, 206, 207–8, 209

  Murdoch, Rupert, 249, 370

  MySpace, 243, 375

  name detection system, 50–52

  Napier’s constant, 149

  National Federation of the Blind, 365–66

  National Institute of Standards and Technology (NIST), 65

  National Science Digital Library, 347

  National Security Agency (NSA), 310

  Native Client, 212

  navigation, 229, 232, 338

  Nelson, Ted, 15

  net neutrality, 222, 326–27, 330, 383–84

  Netscape, 30, 75, 78, 147, 204, 206

  Nevill-Manning, Craig, 129

  Newsweek, 2, 3, 20, 179

  New York Public Library, 354, 357

  Nexus One, 230, 231–32

  95th Percentile Rule, 187

  Nokia, 341, 374

  Norman, Donald, 12, 106

  Norvig, Peter, 47, 62, 63, 138, 142, 316

  Novell, 70

  Obama, Barack, 315–21, 322, 323–24, 329, 346

  Obama administration, 320–28

  Ocean, 350–55

  Och, Franz, 63–65

  Oh, Sunny, 283, 297, 298

  OKR (Objectives and Key Results), 163–64, 165, 186, 209, 325

  Open Book Alliance, 362

  Open Handset Alliance, 221–22

  OpenSocial, 375–76

  operating systems, 210–12

  optical character recognition (OCR), 53, 349–50

  Oracle, 220

  Orkut, 371–73, 375

  Otellini, Paul, 218

  Overture, 89, 90, 91, 95, 96, 98–99, 103, 150

  Oxford University Press, 354, 357

  Page, Larry, 3, 5

  achievements of, 53, 383

  and advertising, 84, 86–87, 90, 92, 94, 95–97, 114, 334, 336–37

  ambition of, 12, 39, 73, 127–28, 139, 198, 215, 238, 362, 386–87

  and applications, 205, 206, 207, 208, 210, 240–42, 340

  and artificial intelligence, 62, 100, 246, 385–86

  and BackRub/PageRank, 17, 18, 21–24, 26

  and birth of Google, 31–34

  and Book Search, 11, 347–52, 355, 357, 359, 361, 362, 364

  on capturing all the web, 22–24, 52, 58, 63

  on changing the world, 6, 13, 33, 39, 97, 120, 125, 146, 173, 232, 279, 316, 327, 361, 384–85

  childhood and early years of, 11–13

  and China, 267, 276, 277–78, 279–80, 283, 284, 305, 311

  and data centers, 182–83

  and eco-activism, 241

  and email, 169–72, 174, 179

  and Excite, 28–29

  and funding, 32, 33–34, 73–75

  and hiring practices, 139–40, 142, 182, 271, 386

  imagination of, 14, 271

  and IPO, 146–47, 149–54, 157

  and machine learning, 66, 67

  and management, 74, 75–77, 79–82, 110, 143, 158–60, 162–66, 228, 231, 235, 252–53, 254, 255, 260, 272, 273, 386–87

  marriage of, 254

  as Montessori kid, 121–25, 127–28, 149, 331, 387

  and Obama, 315–16

  and philanthropy, 257–58

  and privacy, 174, 176–77, 337

  and robots, 246, 385

  and secrecy, 31–32, 70, 72–73, 106, 218

  and smart phones, 214–16, 224, 225, 226–30, 234

  and social networking, 372

  and speed, 184–85, 207

  and Stanford, 12–13, 14, 16–17, 28, 29, 34

  and trust, 221, 237

  values of, 127–28, 130, 132, 135, 139–40, 146, 196, 361, 364

  and wealth, 157

 

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