Metaskills- Five Talents for the Robotic Age
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Koren, Leonard, 64
Kramer, Steven, 21–22
Kurzweil, Ray, 6, 242
Kuznets, Simon, 20
L
Lacayo, Tom, 80
Lafley, A.G., 33
Land Grand College Act, 241
Landsburg, Steven, 88, 125
Langer, Susanne K., 69
language
hereditary or instinctual skill, 35
invention of, 6, 34
Lanier, Jaron, 8, 214, 228
Lasseter, John, 166
Laszlo, Victor, 2
Law of Accelerating Returns, 6
learning metaskill, 37
autodidactic learning, 36, 208
bridging and bonding, 224–226
continuous partial versus sustained concentration, 226–228
definition, 41
by doing, 43
emotional learning to intuition, 42
joy zone, 209–213
knowledge types/stages, 220–223
mission of, 213–217
self-mastery, no set route to, 228–230
theories of, 217–220
turning mistakes into opportunities, 41
by watching, 43
Lebow, Victor, 128
Lebowitz, Fran, 235
Le Corbusier, 80
Lehrer, Jonah, 45
Leonardo. See da Vinci, Leonardo
Lessig, Lawrence, 87
Limb, Charles, 139
limbic (animal) brain, 25–27
Lincoln, Abraham, 241
LinkedIn, 224
Lippman, Walter, 87
Liu, Eric, 122–123
logical depth, 193
Lombardi, Vince, 129
Lorenz, Edward, 54
ludic learning, 210
M
MacBook Air, 62, 191
Macintosh, 228
macroscopes and microscopes, 96
Maier, Thomas, 193
“Making Connections” exhibition, 156
making metaskill, 3, 37
creativity
imagination with craft, 177
standard versus no-process processes, 179–182
feeling way toward solutions, 178–179
innovation stages, selling concepts to businesses, 183–185, 197–201
simplicity
right amount, 195–196
and simplexity, 191–193
Malthus, Thomas, 202
Malthusian crisis, 202
Manpower Group, 19
MapQuest, 228
Marshall, Stephanie Pace, 125, 219, 234
Martin, Roger, 94, 241
Marx, Groucho, 121
Maslow, Abraham, 22–23
massively parallel processing, 5, XIV–XV
Mauk, Mitchell, 161–162
maximum versus optimum choices, 187
Maxwell, John, 230
Mayan civilization, 92, 94
McKinsey, 186
McLaren MP4, 225
McLean, Paul, 25
McMansions, 81
Meadows, Donella, 109, 116, 118, 126
Melzi, Francesco and Orazio, 54–55
memory, conscious versus unconscious, 25
metacognition, 47
metacognitive skills. See metaskills
metainventions, 6
metaskills
aesthetic element in all, 36
dreaming, 36–37
drivers of change, 29–30
feeling, 36–37
learning, 36–37
making, 36–37
need for, 27–30
reflexivity, 28
seeing, 36–37
skill- versus fact-based knowledge, 28
Michelangelo, 55, 60
microscopes and macroscopes, 96
Microsoft
Apple surpassing Microsoft, 10
company’s vision, 198
Word, 62
microwave ovens, 162
Middle Eastern conflicts, 107–108, 128
Midi-Pyrénées, France, XIII
military-industrial versus military-religious complex, 121
Mini Cooper, 63, 225
mirror neurons, 43–44
MIT (Massachusetts Institute of Technology), 209, 241
“A Modest Proposal,” 233
monkey See, monkey do gene, 43
Moore, Gordon, 5
Moore’s Law, 5–6
Moses, Jennifer, 234
Mourlot, Fernand, 152
Murray, Bill, 182
The Myths of Innovation, 80
N
Nano MP3 player, 173
National Institute of Mental Health, 209
naturalistic perspective, 91
negative feedback, 100
negativity bias, 46
Negroponte, Nicholas, 131
neocortex (human brain), 25–27
Nespresso coffee-brewing system, 79–80, 183
Nestlé, 79
New Economy House, 81
New Haven Youth and Family Services, 241–242
Newman, Barnett, 64
Newsweek, 243
Newton, Issac, 55, 57
No Child Left Behind Act, 115
Nokia, 86
nonotechnology, exponential change, 5
Nørretranders, Tor
consciousness
evolutionary purpose of, 52
in terms of information theory, 49–50
exformation, 192–193
North County Trade Tech School, 242
no what, no how attitude, 135
nuclear chain reaction, 178
nuclear weapons race, 107
O
objective and subjective time, 154–155
Occam’s Razor, 190
OFC (orbitofrontal cortex), 41
Office Depot, 117
Ogilvy, David, 173
O’Leary, Michael, 78
Omni, 160
One Laptop Per Child initiative, 131
The Opposable Mind, 94
optical perspective, 91
optimum versus maximum choices, 187
orbitofrontal cortex (OFC), 41
Oreck, 183
originality, 11
product of imagination and knowledge, 140–142
test of, 171–174
Osborn, Alex, 163–164
Overby, Robert, 219
ozone layer contaminants, 111–112
P
Page, Larry, 224
Pages tablet application, 173
paradoxes, 146, 149
Pardy, Keith, 82
Pasteur, Louis, 143–144
Patagonia, 117
Pearson, 236
Pech Merle, 36, XIII
Pennock, Michael, 21
Percelly, Serge, 210
perceptual defense, 46, 84
Perry, Rick, 105
Petrov, Vitaly, 51
The Philosophical Baby, 184
Piaget, Jean, 240
Picasso, Pablo, XIII, 55, 228
strong disbelief system, 152
Pinterest, 183
Pixar, 166
Plato, 35, 52, 177
play instinct
combinatory play, 156, 159
ludic learning, 210
objective and subjective time, 154–155
Posey, Buster, 214
positive feedback, 100
positive psychology, 49, 120
Post-it Notes, 160, 197
Prentice, Deborah, 200
prevail scenario, 8
primary illusions of art, 69, 72
Principles of Visual Perception, 46
Prius, 10, 183
problem and project-based education, 242–243
Procter & Gamble
design thinking, 33
hourglass effect, manufacturing for high- and low-end markets, 13
The Progress Principle, 21
psychopathic behavior, 45
Putnam, Robert, 224
Q
Quest University, 246�
��247
Quinn, Doreen, 241–242
R
Radical Evolution, 5
Radio Shack, 183
rational brain
and consciousness, 50
versus emotional brain, 40
metacognition, 47
The Rational Optimist, 203
The Red Shoes, 157
reflection in action, 43
The Reflective Practitioner, 177
Reich, Robert, 12, 15
reinforcing feedback, 100
Rembrandt, 55, 180
Renaissance
art and science, status of, 54
population surge, 202
view of world, 95
Renaissance Man, 30
reptilian brain (basal ganglia), 25–26
Research in Motion (RIM), 85–86
Rethinking the Future, 208
Ridley, Matt, 203
RIM (Research in Motion), 85–86
Rizzolatti, Giacomo, 43
Roam, Dan, 158
Robinson, Ken, 24, 243
scientific versus artistic discoveries, 56, 72–73
Robot Curve
creative collaboration, 163
from creative to robotic work, 15–17
future in human hands, 33–36
waterfall of opportunity, 18–19
Robotic Age
emotion as necessity, 41
and Industrial Age
applying ideas to Industrial Age, 18
surpassing, 248
innovation, 9–10
on threshold of, 9–10
Roman civilization, 92, 94
Rossellini, Isabella, 238
Rothblatt, Sheldon, 236
Rutter, Brad, XIV–XV
Ryannair, 76–78, 183
S
Sachs, Jeffrey D., 21
Sacks, Oliver, 56
safety layer, hierarchy of needs, 23
Safeway, 183
Safian, Robert, 229
Sagan, Carl, 238
Samsung, 183
SAP, 13
Sarkozy, Nicolas, 21
Schön, Donald, 43, 177
Schultz, Howard, 76
Schumpeter, Joseph, 10
The Science of Leonardo, 57
Seawater Foundation, 131
Secret Science Club, 224–225
seeing metaskill, 37. See also systems thinking
versus drawing, 95
optical perspective, 91
seeing how to See, 96
and thinking, 95
straight-line thinking, 96–97, 129
Shakespeare, 180
shared brain (the cloud), 26–27
Sharris, Antigone, 241
Shirkey, Clay, 227
Silicon Valley, workaholism and passion for work, 21–22
Silver, Dr. Spencer, 197
Simon, Herbert, 33
simplexity
versus complexity, 191–193
versus simplicity, 191–193
simplicity
based on comparison, 195–196
versus complexity, 191–193
versus simplexity, 191–193
sin
commandments
fallacies of, 121–122
meta commandments, 124
separating ethics from legality, 126
definition, 123, XXIV
ethics
versus aesthetics, 125–126
filters, 123–126
inalienable rights versus responsibilities, 123, 125
rules of world’s religions, 121
systems thinking, 121
Singularity, 3, 6
Skype, 233
small what, small how attitude, 135
Smith & Noble, 187
Snyder, Allan, 39
social bridging, 224
Socrates, 24
softball brainstorming, 164–165
Soul Dust, 49, 52
Southwest Airlines, 183
empathy, 78–79
point-to-point strategy, 76
Spencer, Percy, 162
stage theory of child development, 240–241
Starbucks, 76
Steelcase, 33
Stefanovich, Andy, 189
STEM education emphasis, 28
Stephenson, Frank, 225
Stiglitz, Joseph, 21
Strategic Differentiation Principle, 213
Stroop Test, 47–48
Strunk, William, Jr., 188
Summers, Lawrence, 200
Sundown Schoolhouse, 224
Sun Microsystems, 8
supply-side economics (Reagonomics), 12
sustained versus continuous partial attention, 226–228
swarming, 166–167
Swift, Jonathan, 233
Swiss Army Knife, 190
Symantec, corporate purpose statement, 117
synergy, 187–188
systems thinking, 36, 88. See also seeing metaskill
archetypes
addictions, 105–106
commons tragedy, 108–111
escalation, 107–108
goals, enroding, 106–107
goals, wrong, 115–116
growth limits, 113–114
information delays, 104–105
rule beating, 111–112
success to successful, 114–115
elements of, 98–99
feedback mechanisms
delays, 100–102, 104
latency, 99–101, 121
interconnections of, 98–99
primacy of purpose, 116–120
problems with solutions, 126–130
purpose of, 98–99
rules, 98–99
beating rules, 111–112
and religion, 121
responsibility autonomy, 125–126
rewriting rules, 114
wicked problems, solving, 97
Szilárd, Leó, 178
Szostak, Jack W., 213
T
Taco Bell, 183
talent, 2–3
Tammet, Daniel, 39
Tata Motors, 145
technium, 5
television, 160, 243
Ten Commandments, 45
Tesla, 10
TGV, 183
Thackara, John, 96
“A Theory of Human Motivation,” 22
Theory of Relativity, 132
Thinking, Fast and Slow, 46
Thinking in Systems, 109
3M, 197
time
clock and its effects, 154–155
quality of, 154–155
subjective and objective, 154–155
Tofler, Alvin, 208
Tom’s Shoes, 160
Touch of Yogurt Shampoo, 160
Toyoda, Akio, 118
Toyota, 118, 217
Prius model, 10, 183
Trebeck, Alex, XIV–XV
Treffinger, Donald, 246
tribal aesthetics, 69
trickle-down economics, 12
Triton College, 241
triune brain, 25
Tru Blood soda, 160
Truth, Beauty, and Goodness Reframed, 68
truthiness, 87
T-shaped people, 165–167
Turkle, Sherry, 227
Twitter, 173, 227
Tyson, Neil deGrasse, 238
U
uncluding
versus clutter, 185–191
versus excluding and including, 185–190
recognition of including and uncluding differences, 190–191
United Nations, 111–112
universal knowledge, 220–223
universal man, 30
University of California, 241
US and USSR, nuclear weapons race, 107
The User Illusion, 49, 192
V
Vallejo, Camila, 214
Vela constellation, 201
Velcro invention, 159–160
VHS videotape format, 183
Victorinox WorkChamp XL, 190
virtual reality, 6, 8
Vision for Space Exploration program, 183
von Neumann, John
and modern computer abilities, 4
Singularity, 3
W
Wales, Jimmy, 166
Wall Street, 12
Warming, Anders, 178
Warner, H.M., 171
The Watchman’s Rattle, 92
water as food sources, future of, 161–162, 204
Watson, Peter, 55
Watson computer
Jeopardy!, XIV–XV
WellPoint contract, 18
Weiwei, Ai, 214
WellPoint contract for Watson computer, 18
What Technology Wants, 5
Which “Aesthetics” Do You Mean?, 64
Whisson Windmill, 131
White, E.B., 72
Whole Foods, 183
wicked problems, 30, 97
Wii, 10
Wikipedia, 4, 25, 166, 236
William of Ockham, 190
Wilson, E.O., 223
Wilson, Frank R., 35
Winfrey, Oprah, 16
Wittgenstein, Ludwig, 97
work/jobs. See also business
creating
horse-and-sparrow theory, 12
not with information-based businesses, 13
supply-side economics (Reagonomics), 12
through economic growth, 13
trickle-down economics, 12
creative work
with society first concern, 19
transforming to skilled work, 15–17
hourglass effect, 13–15
hourly pay, American versus German, 15
manufacturing, outsourcing of, 13
Robot Curve, 15–19
rote work, transforming into robotic work, 16–17
skilled work, transforming into rote work, 16–17
skills/people available gap, 19
Wall Street, deregulation of, 12
world population
humans, most populous mammal, 2
Wozniak, Steve, 228
writing invention, 6, 24–25, 202
Wurman, Richard Saul, 210
X
X-shaped people, 166–167
Y
Yankelovich Partners, 187
You Are Not a Gadget, 8
YouTube, 4
You’ve Got Mail, 74
Yunus, Muhammad, 214
Z
Zappos, 75, 84
Zenko, Micah, 108
Zimmermann, Manfred, 50
Zinsser, William, 188
Zipcar, 233
zombie designs, 189–190
METASKILLS: FIVE TALENTS FOR THE ROBOTIC AGE
by Marty Neumeier
New Riders
New Riders is an imprint of Peachpit, a division of Pearson Education
www.newriders.com
Copyright © 2013 by Marty Neumeier
Project Editor: Michael J. Nolan
Designer and Illustrator: Marty Neumeier
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Indexer: Joy Dean Lee
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