econ of ai n nanotech

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Econ of Nano & AI Econ of Nano & AI Robin Hanson George Mason University

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Page 1: Econ of ai n nanotech

Econ of Nano & AIEcon of Nano & AI

Robin Hanson

George Mason University

Page 2: Econ of ai n nanotech

Outline

• World long-term econ trend mostly steady– Now doubles in ~15 years

• So far have seen 2-4 “singularities” when– World econ growth rate increased x150-250– In much less than a previous doubling time

• Next?: by 2100, takes 5 yr, double monthly– Nanotech?– Artificial Intelligence?

Page 3: Econ of ai n nanotech

Recent US GDP Growth

Page 4: Econ of ai n nanotech

World Product, 1950-2006

1,000,000

10,000,000

100,000,000

1950 1960 1970 1980 1990 2000 2010

Year

Wo

rld

Pro

du

ct

Page 5: Econ of ai n nanotech

[DeLong ‘98]

Page 6: Econ of ai n nanotech

[De Long ’98]

Page 7: Econ of ai n nanotech

0.01

0.1

1

10

-5 -4 -3 -2 -1 0

Year, millions

Po

pu

lati

on

, mill

ion

s

Weiss 1984

Hawks et. Al. 2000

Deevey 1960

Out of Africa Model

PaleoDemography

• DeLong 98 follows Kremer 93 in using Deevey 60 est.

• I substitute Hawks et al. 00, who posit exp. pop. growth from ~10K 2MYA.

• Based on Multi-regional model (vs. Out of Africa)

• 2MYA - simul., signif. new size, pelvis, brain, teeth, …

• DNA says inbreeding pop ~10K, before 1.5MYA

Page 8: Econ of ai n nanotech

0.001

0.01

0.1

1

10

-600 -500 -400 -300 -200 -100 0

Re

lati

ve

Bra

in S

ize

Millions of Years

Bigger Brains

Page 9: Econ of ai n nanotech

World Product, 1950-2006

1,000,000

10,000,000

100,000,000

1950 1960 1970 1980 1990 2000 2010

Year

Wo

rld

Pro

du

ct

Page 10: Econ of ai n nanotech

World Product, 1-2000

0.1

1.0

10.0

100.0

1,000.0

0 200 400 600 800 1000 1200 1400 1600 1800 2000

Year

Wo

rld

Pro

du

ct (

su

bs

iste

nce

bill

ion

s)

Page 11: Econ of ai n nanotech

World Product, 10K BC-2K AD

0.001

0.010

0.100

1.000

10.000

100.000

1,000.000

-10000 -8000 -6000 -4000 -2000 0 2000

Year

Wo

rld

Pro

du

ct (

su

bs

iste

nce

bill

ion

s) Singularities!

Page 12: Econ of ai n nanotech

10,000

100,000

1,000,000

10,000,000

100,000,000

1,000,000,000

10,000,000,000

100,000,000,000

1,000,000,000,000

-2000000 -1500000 -1000000 -500000 0 500000

Year

Wor

ld P

rodu

ct (s

ubsi

sten

ce h

uman

s)

World Product, 2 Million BC+

Page 13: Econ of ai n nanotech

Figure 1. World Product, Data vs. Models

10,000

100,000

1,000,000

10,000,000

100,000,000

1,000,000,000

10,000,000,000

100,000,000,000

1,000,000,000,000

10,000,000,000,000

101001,00010,000100,0001,000,00010,000,000

Years before 2050

Wor

ld P

rodu

ct

Hyperbolic Model

Sum of Exp Model

CES Combined Exp Model

World Product Estimates

Error9.6%

2.0%

1.7%

Page 14: Econ of ai n nanotech

Figure 2. World Product vs. Growth Rate1.E-06

1.E-05

1.E-04

1.E-03

1.E-02

1.E-01

1.E+00

1.E+04 1.E+05 1.E+06 1.E+07 1.E+08 1.E+09 1.E+10 1.E+11 1.E+12 1.E+13 1.E+14

World Product

WP

An

nu

al G

row

th R

ate

CES Exp Model, One New Mode

CES Exp Model, No New Mode

Hyperbolic Model

World Product Estimates

Page 15: Econ of ai n nanotech

1.E-8

1.E-7

1.E-6

1.E-5

1.E-4

1.E-3

1.E-2

1.E-1

1.E+0

1.E+1

1.E+2

1.E+01.E+11.E+21.E+31.E+41.E+51.E+61.E+71.E+81.E+9

Years before 2050

Annu

al G

row

th R

ate

World Product Growth Rate

Could It Happen Again?

Brains

Hunting

Farming

Industry

Page 16: Econ of ai n nanotech

Growth Mode Statistics

Page 17: Econ of ai n nanotech

Forecasting The Next Mode

Growth Mode

DT Factor

Next DT

WP Factor

New Date from WP

New Date from #DT

Brains "67K" 2072 2120

Hunting 153 2.1wk 480 1996 2075

Farming 247 1.3wk 190 1976 2067

Industry 145 2.3wk >590

2039 2040 2041 2042 2043 2044 2045 2046 2047

6.1% 6.1% 6.6% 8.0% 14.0% 40.5% 147.3% 476.2% 1023.2%

Sample growth rate transition Transition date

Page 18: Econ of ai n nanotech

First Adopter Gains

Why Gains Falling:• More ways to copy innovations• Larger division of labor

Page 19: Econ of ai n nanotech

Knowledge Was Always Key

Growth Mode Encoded Shared

Brains DNA Sex Hunting Culture Watch/Talk Farming Culture Talk/Object Industry Writing Expert Net

? ? ?

Page 20: Econ of ai n nanotech

What Could Cause A New Singularity?!

Page 21: Econ of ai n nanotech

Space

Page 22: Econ of ai n nanotech

Fusion

Page 23: Econ of ai n nanotech

Nanotech

Page 24: Econ of ai n nanotech

Robots

Page 25: Econ of ai n nanotech

Five Steps to Radical Nanotech

1. Atomic Precision – put some atoms where wantGrowth can go far; implications of specific products

2. General Plants – like PCs beat signal processorScale economy to make, easier design, efficient enoughMore differentiation, faster evolution of products

3. Local Production – in homes, highly automatedMaybe buy lifestyle packages of designs “print” at home File-sharing, open source, in product designs possible

4. Usually Idle – fixed » marginal costs, like “info”5. Self-Reproduction – sudden large cost drop?

Page 26: Econ of ai n nanotech

Industry Shares of US GDP

Construction

Communications

Wholesale trade

Retail trade

ManufacturingFinance, insurance, real

estate

Services

Government Transportation

Electric, gas, trash

Mining

Farming, forestry, f ishing

Page 27: Econ of ai n nanotech

Factor Shares of Income

Labor

Human Capital

Other Non-Human Capital

Stock Dividends Natural Resources

Page 28: Econ of ai n nanotech

My Views On Singularity

Yes: General machine intelligence will come, make huge difference

Not soon: roughly 20 to 200 years awayNot trend: econ growth has been steadyNot local: an integrated economy grows

together, not basement takes over worldNot hand-coded: probably brain emulation Not horizon: we can see past, if fuzzier◦New economy doubles weekly to monthly◦Natural wages fall below human subsistence◦ “Economics of Singularity,” IEEE Spectrum 6/08

Page 29: Econ of ai n nanotech

Economics of Robots

• Staple of fiction – ancient legends to TV now• If have more of X, do you want Y more (complement)

or less (substitute)?• Machine as Substitute to human labor

– Ricardo 1821, most science fiction– Wages fall to machine cost

• Automation as Complement to human labor– Wicksell 1923, modern economics consensus– Wages have risen as automation cost have fallen

• So are robots a substitute or complement?

Page 30: Econ of ai n nanotech

Robots Substitute On Task, But Tasks Are Complements

Hum

an A

dvan

tage

Useful Mental Tasks

SubstituteFor Task

HumansDo These

MachinesDo These

Tasks AreComplements

Page 31: Econ of ai n nanotech

A Rising Tide

Hum

an A

dvan

tage

Useful Mental Tasks

Page 32: Econ of ai n nanotech

A Rising Tide

Hum

an A

dvan

tage

Useful Mental Tasks

Page 33: Econ of ai n nanotech

A Simple Robot Growth Model

PgIIYRHHL

RMPKCHMKLAY

PK )( Y, ,ˆ

)(ˆ

M

Igggg YPAH ,,,,Assume constant:

HMKLAY gggggg )1(

PYYML

HYYML

gggRYY

gggRYY

ML

L

,0 ,

,0 ,

Y

Y

g

g

ˆSeekThese

Page 34: Econ of ai n nanotech

Simple Growth Models

Rate

Level

Rate Level

00

exp

foom

slowing

Page 35: Econ of ai n nanotech

A Complex Growth Model

Page 36: Econ of ai n nanotech

Needed To Emulate Brains

1. Model each brain cell type

2. Scan – freeze, slice, 2D scan

3. Computer (very parallel task)

Page 37: Econ of ai n nanotech

Pivotal: What Ready Last?

1. Computing – Other techs fast or fine brain detail key– Broad smooth anticipated transition

2. Scanning (least likely?)

– Large coalitions, first dominates; diversify!– Most in future descend from one human?

3. Modeling– May be big surprise, so disruptive change

Page 38: Econ of ai n nanotech

Cheap For Robots

• Immortality (even so, most can’t afford)• Travel – transmit to new body (but security?)• Nature – don’t need ecosystems• Labor – work less tool intensive• Copies!

– Malthusian population explosion, rapid growth– Wages may fall to fast-falling hardware cost

• Depends on mental-task landscape shape• Happens if they slave or if free• Only Draconian population/wage laws could stop

Page 39: Econ of ai n nanotech

Emulations Feel Human

• They remember a human life• Retain human tendencies

– love, gossip, argue, sing, violate, play, work, innovate

• More alienated worlds - as were farms, factories– Office work in virtual reality– Physical work in android bodies

• More unequal abilities, like our fantasy– Can run minds faster, use wildly different bodies

• Many won’t believe are conscious, or “is me”– But same social implications, few dozen is plenty

Page 40: Econ of ai n nanotech

Humans Eclipsed

• Wages well below human subsistence– Some humans may find servant jobs

• But rich if held non-wage assets– Investments double as fast as economy!

• Robot-Human war unlikely if integrated– E.g., left-handed don’t war against righties

• Most emulations of the few best humans– First mover advantage to show quality

Page 41: Econ of ai n nanotech

More Implications

• Copies rent bodies, or own on loan– Evicted if can’t pay!!

• To recoup training investment, copy cabal limits copy wage– Security to prevent bootleg copies!

• Fast growth discourages transport, encourages local production

• Laws hold copies co-responsible

• <1cm robots seem feasible– Mind/body sped up with size reduction– 0.2in. tall => Subjective year/day in 24hr/4min

• One skyscraper holds billions - is megacity– City radius now is hour travel distance =>

10sec