The Age Of Em:
Work, Love, and Life when
Robots Rule the Earth
Economics, George Mason University
Associate, Future of Humanity Institute, Oxford
Blog: OvercomingBias.comRobin Hanson
Recent US GDP Growth
World Product, 1950-2006
1,000,000
10,000,000
100,000,000
1950 1960 1970 1980 1990 2000 2010
Year
WorldProduct
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
WorldProduct(subsistencebillions)
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
WorldProduct(subsistencebillions)
“Singularities”
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
WorldProduct(subsistencehumans)
World Product, 2 Million BC+
0.001
0.01
0.1
1
10
-600 -500 -400 -300 -200 -100 0
RelativeBrainSize
Millions of Years
Bigger
Brains
Doubles in
~34 Myr
Life Complexity
Doubles in
~375 Myr
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
WorldProduct
Hyperbolic Model
Sum of Exp Model
CES Combined Exp Model
World Product Estimates
Error
9.6%
2.0%
1.7%
Growth Mode Statistics
Growth
Mode
Doubling
Time (DT)
DT
Doubles
Size
Doubles
Gene
Brain
~375 Myr
~35 Myr
-
3.5
~26
~16
Culture 225 Kyr 7.3 ~9
Farm 910 yr 7.9 7.6
Industry 15 yr 5.9 >9
? < 1 mo? >5.9? ?
Sample mode transition
Next mode only lasts few years?
?
The Great Eras
Log
Growth
Rate
Log Years to 20X0
Ways To Make Smart Robots
1. Keep writing better software
– AI experts: in last 20yrs went 5-10% to human
– At that rate: 2-4 centuries to full AI
– I just got 3 year grant to study this scenario
2. Super theory of intelligence (or learning)
– But likely doesn’t exist, as w/ bacteria, cities
3. Port software from where it already exists
Needed To Emulate Brains
1
Computers
(many, parallel)
2
Scan – fix, slice,
2D scan
3
Model each brain cell type
Depths of Emulation
1. Recreate functions model ?
2. Connected brain regions now
3. Averages of neurons, groups now
4. Spiking neural network 2019
5. + compartments, ion densities 2033
6. + metabolite, transmitter densities 2044
7. + protein, gene express densities 2048
8. + quaternary protein structure 2052
9. + internal cellular geometry 2063
10. + stochastic molecule positions 2111
11. + quantum interactions ?
Sandberg &
Bostrom,‘08,
Whole Brain
Emulation
Roadmap
at $1M hardware,
(for $1B, -11yrs)
What If
Cheap
Emulations?
Oxford Univ. Press
http://ageofem.com
“History” 19.5%
“Historical Fiction” 0.6% “Science Fiction” 1.0%
Amazon Book Keyword %
“Future” 0.9%
Three Kinds of Futurism
1. Project Current Trend
2. Trend-Disrupting Tech
3. Disrupt-Tech Result
Ring Of Science
M
CS
P
SS
M
H
I
E
B
G
PC
C
BCM
N
HS
SS – Social Science
CS – Computer Science
P – Physics
E – Engineering
H – Humanities
PS – Psychology/Psychiatry
N – Brain Research
M – Mathematics
PC – Physical Chemistry
C – Chemistry
G – Earth Sciences
BC – Biochemistry
B – Biology
I – Infectious Disease
M – Medicine
HS – Health Services
Klavans & Boyack. 2009. “Toward a Consensus
Map of Science.” JASIST 60(3), 455-476.
Ring Of Science
M
CS
P
SS
PS
H
I
E
B
G
PC
C
BCMD
N
HS
SS – Social Science
CS – Computer Science
P – Physics
E – Engineering
H – Humanities
PS – Psychology/Psychiatry
N – Brain Research
M – Mathematics
PC – Physical Chemistry
C – Chemistry
G – Earth Sciences
BC – Biochemistry
B – Biology
I – Infectious Disease
M – Medicine
HS – Health Services
Klavans & Boyack. 2009. “Toward a Consensus
Map of Science.” JASIST 60(3), 455-476.
Keys Under Lamp Post
Efficiency Predicts Old Farms
• What crops on what land, when sow, reap
• Which animals graze on what
• Road paths irrigation paths
• Rotate over what crops how often
• Where, when to fish, hunt & gather what
• Which food eat now vs. preserve for later
My Method
Academic consensus
What is, not should be
Focus on robots, not humans
Next big era, not eras after
After transition, once things settle down
Competition, low-regulation (= supply & demand)
Mostly-opaque ems:
No merge, splice, partial, or big changes in psychology
Rest of Talk: Many Implications
Robot Implications
ImmortalityTravel
CopiesNature
Labor Supply & Demand
Quantity
Price
wage1
Supply of Human Workers
Demand
for Labor
wage3
wage2
New
Demand
for Labor
Supply of Robots
Four Ways To Grow
1. More Machines
2. More Humans
3. Better Machines
4. More Robots
Space Is Too Slow
Varieties of Lives
Time
Stems Have More Descendants
Specialized,
Complex
Simple, General
Applies to:
• Cells
• Species
• Products
• Software
Time
Is Forgetting “Death”?
Time
Copied As Teams
Time
Safes Keep Secrets
“Why Must We
Invade Iraq?”
Time
Citizen
Y/N
Leader
Humans Eclipsed
Humans Retire
Ems Feel Human
Smart
Hard-
Working
More elite than:
• Olympic gold
• Nobel prize
• Billionaire
• Pulitzer
• Oscar
Smart, conscientious,
extravert, agreeable, gritty,
non-neurotic, work-oriented,
focused, sleepless, larks,
cooperative, peak-aged,
patient, married, religious
Ems Differ
Hunter/Gatherer Farmer/Herder
More: varied diet, varied
exercise, travel, tolerance,
homosexuality, sex talk,
sex promiscuity, leisure,
mind-challenging work,
sharing, envy, egalitarian,
divorce, genders equal,
play, music, dance, art,
stories, trust, honesty,
group discussion, lead by
consensus, save nature
More: dense, polite, clean,
order, stability, work hours,
kids, discipline of kids,
marriage, classes, rulers,
authority, slavery, war,
income inequality, ranking,
domination, brag, property,
money, trade, crime, honor,
shame, self-sacrifice, self-
control, explicit social rules,
moralizing gods
Human Life Plan
Retire
Work
Train
Retire
Work
Train
Retire
Work
Train
Time
Robot Life Plan
Retire
Work Work
Train
Work
Retire
Retire
Time
∞ ∞ ∞
• Software races
• Manage tiny fast systems
• Fast bosses
• Leisure, so back on job fast
• Manage big slow systems
• Remember a long history
• Interact with humans
• Cheap retirement
Fast
Slow
Fast
Slow
16
1
1/16
1/256
1/4K
1/66K
1/1M
1/17M
1/270M
1/4B
1/69B
1/1T
256
4K
66K
1M
17M
Human Speed
Kilo-ems
Milli-ems
Micro-ems
Mega-ems
Nano-ems
Pico-ems
More
“Ghostly”
host meetings
best location
win argue
bosses
richer
Software Intensity
Log
Price
Time
Human Wages
Serial Hardware
Parallel Hardware
Em Wages
Hardware per software engineer
1950 2000 ? ??
City Scaling
If double, per person:
−10% roads, cables
+21% patents
+12% crime
+34% traffic
+10% value
Big Dense Robot Cities!
Fractal Infrastructure
hollow:vµ f 2/3
fractal: vµ f exp[2 ln3ln f -1
volume%µ ND2
L-2
DP µ NLm1 or 2
D-4 or -5
N =1+(3 or 7)log2 Lt-1
mintC1 = pt +qat-1
Þ pt = qat-1
minRC2 = C1 log2 R+qR-1
Þ R = ln2(q / 4ap)1/2
Time
StepAdiabatic Reversible Computing
Fractal Cooling Pipes
Fractal Struts
t
R
x1 Talk: Earth+
Height: 1.7m
Career: 100 yr
x16 Talk: 940km
Height: 11cm
Career: 6 yr
(billions fit in a skyscraper)
Talking
Circles
x256 Talk:60km
Height: 7mm
Career: 5 mo
x16M Talk: 1m
Height: 100nm
Career: 3 min
x4100 Talk: 4km
Height: 0.4mm
Career: 9 day
Inequality Today
2015
Firm – α ~ 1
Product – α < 1
City, States – α ~ 1
Family – α ~ 2
Wealth – α ~ 1.4
max holds 0.02%, ~$50B
α > 1, most in small
bigsmall
α < 1, most in big
α = 1, all sizes same
1000
α > 1
α > 1
α > 1
α ~ 2
Em Inequality
α ~ 1.4
α > 1, most in small
α < 1, most in big
α = 1, all sizes same
bigsmall
Firm – α ~ 1
Product – α < 1
City-States – α < 1
most in <10?
Family – α < 1
most in ~300?
Wealth – α ~ 1 (live long)
max holds 3%, ~$100T?
2070?2015
α ~ 2
α ~ 1
α < 1
α ~ 1
0.02%
Key Stats
• Start by ~2100, transition <5 yr, lasts <2yr
• Economy doubles every week to month
• Typical em speed: ~1000 times human
– Range: 10-9 to 106 time human
• Most ems in < ~300 clans, each millions+
• Billions of ems in a few big city-states
• No pain, hunger, grit,
disease, aged bodies
• Less death terror
• Vast fast population
• Huge intricate cities
• Great art, story, drugs
• Extreme ability, virtue
• More stable world
• Subsistence wages,
long work hours
• Easy spur “ends”
• ≠ wealth, speed class
• Big bureaucratic firms
• Little nature, space
• More rulers, less vote
• More religion, ritual

Em econ 2ndlife

  • 1.
    The Age OfEm: Work, Love, and Life when Robots Rule the Earth Economics, George Mason University Associate, Future of Humanity Institute, Oxford Blog: OvercomingBias.comRobin Hanson
  • 2.
  • 3.
    World Product, 1950-2006 1,000,000 10,000,000 100,000,000 19501960 1970 1980 1990 2000 2010 Year WorldProduct
  • 4.
    World Product, 1-2000 0.1 1.0 10.0 100.0 1,000.0 0200 400 600 800 1000 1200 1400 1600 1800 2000 Year WorldProduct(subsistencebillions)
  • 5.
    World Product, 10KBC-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 WorldProduct(subsistencebillions) “Singularities”
  • 6.
  • 7.
    0.001 0.01 0.1 1 10 -600 -500 -400-300 -200 -100 0 RelativeBrainSize Millions of Years Bigger Brains Doubles in ~34 Myr
  • 8.
  • 9.
    Figure 1. WorldProduct, 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 WorldProduct Hyperbolic Model Sum of Exp Model CES Combined Exp Model World Product Estimates Error 9.6% 2.0% 1.7%
  • 10.
    Growth Mode Statistics Growth Mode Doubling Time(DT) DT Doubles Size Doubles Gene Brain ~375 Myr ~35 Myr - 3.5 ~26 ~16 Culture 225 Kyr 7.3 ~9 Farm 910 yr 7.9 7.6 Industry 15 yr 5.9 >9 ? < 1 mo? >5.9? ? Sample mode transition Next mode only lasts few years?
  • 11.
  • 12.
    Ways To MakeSmart Robots 1. Keep writing better software – AI experts: in last 20yrs went 5-10% to human – At that rate: 2-4 centuries to full AI – I just got 3 year grant to study this scenario 2. Super theory of intelligence (or learning) – But likely doesn’t exist, as w/ bacteria, cities 3. Port software from where it already exists
  • 13.
    Needed To EmulateBrains 1 Computers (many, parallel) 2 Scan – fix, slice, 2D scan 3 Model each brain cell type
  • 14.
    Depths of Emulation 1.Recreate functions model ? 2. Connected brain regions now 3. Averages of neurons, groups now 4. Spiking neural network 2019 5. + compartments, ion densities 2033 6. + metabolite, transmitter densities 2044 7. + protein, gene express densities 2048 8. + quaternary protein structure 2052 9. + internal cellular geometry 2063 10. + stochastic molecule positions 2111 11. + quantum interactions ? Sandberg & Bostrom,‘08, Whole Brain Emulation Roadmap at $1M hardware, (for $1B, -11yrs)
  • 15.
  • 16.
    “History” 19.5% “Historical Fiction”0.6% “Science Fiction” 1.0% Amazon Book Keyword % “Future” 0.9%
  • 17.
    Three Kinds ofFuturism 1. Project Current Trend 2. Trend-Disrupting Tech 3. Disrupt-Tech Result
  • 18.
    Ring Of Science M CS P SS M H I E B G PC C BCM N HS SS– Social Science CS – Computer Science P – Physics E – Engineering H – Humanities PS – Psychology/Psychiatry N – Brain Research M – Mathematics PC – Physical Chemistry C – Chemistry G – Earth Sciences BC – Biochemistry B – Biology I – Infectious Disease M – Medicine HS – Health Services Klavans & Boyack. 2009. “Toward a Consensus Map of Science.” JASIST 60(3), 455-476.
  • 19.
    Ring Of Science M CS P SS PS H I E B G PC C BCMD N HS SS– Social Science CS – Computer Science P – Physics E – Engineering H – Humanities PS – Psychology/Psychiatry N – Brain Research M – Mathematics PC – Physical Chemistry C – Chemistry G – Earth Sciences BC – Biochemistry B – Biology I – Infectious Disease M – Medicine HS – Health Services Klavans & Boyack. 2009. “Toward a Consensus Map of Science.” JASIST 60(3), 455-476.
  • 21.
  • 22.
    Efficiency Predicts OldFarms • What crops on what land, when sow, reap • Which animals graze on what • Road paths irrigation paths • Rotate over what crops how often • Where, when to fish, hunt & gather what • Which food eat now vs. preserve for later
  • 23.
    My Method Academic consensus Whatis, not should be Focus on robots, not humans Next big era, not eras after After transition, once things settle down Competition, low-regulation (= supply & demand) Mostly-opaque ems: No merge, splice, partial, or big changes in psychology Rest of Talk: Many Implications
  • 24.
  • 25.
    Labor Supply &Demand Quantity Price wage1 Supply of Human Workers Demand for Labor wage3 wage2 New Demand for Labor Supply of Robots
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
    Stems Have MoreDescendants Specialized, Complex Simple, General Applies to: • Cells • Species • Products • Software Time
  • 34.
  • 35.
  • 36.
    Safes Keep Secrets “WhyMust We Invade Iraq?” Time Citizen Y/N Leader
  • 37.
  • 38.
  • 39.
    Ems Feel Human Smart Hard- Working Moreelite than: • Olympic gold • Nobel prize • Billionaire • Pulitzer • Oscar Smart, conscientious, extravert, agreeable, gritty, non-neurotic, work-oriented, focused, sleepless, larks, cooperative, peak-aged, patient, married, religious
  • 40.
  • 41.
    Hunter/Gatherer Farmer/Herder More: varieddiet, varied exercise, travel, tolerance, homosexuality, sex talk, sex promiscuity, leisure, mind-challenging work, sharing, envy, egalitarian, divorce, genders equal, play, music, dance, art, stories, trust, honesty, group discussion, lead by consensus, save nature More: dense, polite, clean, order, stability, work hours, kids, discipline of kids, marriage, classes, rulers, authority, slavery, war, income inequality, ranking, domination, brag, property, money, trade, crime, honor, shame, self-sacrifice, self- control, explicit social rules, moralizing gods
  • 42.
  • 43.
    Robot Life Plan Retire WorkWork Train Work Retire Retire Time ∞ ∞ ∞
  • 44.
    • Software races •Manage tiny fast systems • Fast bosses • Leisure, so back on job fast • Manage big slow systems • Remember a long history • Interact with humans • Cheap retirement Fast Slow
  • 45.
  • 46.
  • 47.
    Software Intensity Log Price Time Human Wages SerialHardware Parallel Hardware Em Wages Hardware per software engineer 1950 2000 ? ??
  • 48.
    City Scaling If double,per person: −10% roads, cables +21% patents +12% crime +34% traffic +10% value Big Dense Robot Cities!
  • 49.
    Fractal Infrastructure hollow:vµ f2/3 fractal: vµ f exp[2 ln3ln f -1 volume%µ ND2 L-2 DP µ NLm1 or 2 D-4 or -5 N =1+(3 or 7)log2 Lt-1 mintC1 = pt +qat-1 Þ pt = qat-1 minRC2 = C1 log2 R+qR-1 Þ R = ln2(q / 4ap)1/2 Time StepAdiabatic Reversible Computing Fractal Cooling Pipes Fractal Struts t R
  • 50.
    x1 Talk: Earth+ Height:1.7m Career: 100 yr x16 Talk: 940km Height: 11cm Career: 6 yr (billions fit in a skyscraper) Talking Circles x256 Talk:60km Height: 7mm Career: 5 mo x16M Talk: 1m Height: 100nm Career: 3 min x4100 Talk: 4km Height: 0.4mm Career: 9 day
  • 51.
    Inequality Today 2015 Firm –α ~ 1 Product – α < 1 City, States – α ~ 1 Family – α ~ 2 Wealth – α ~ 1.4 max holds 0.02%, ~$50B α > 1, most in small bigsmall α < 1, most in big α = 1, all sizes same 1000 α > 1 α > 1 α > 1 α ~ 2
  • 52.
    Em Inequality α ~1.4 α > 1, most in small α < 1, most in big α = 1, all sizes same bigsmall Firm – α ~ 1 Product – α < 1 City-States – α < 1 most in <10? Family – α < 1 most in ~300? Wealth – α ~ 1 (live long) max holds 3%, ~$100T? 2070?2015 α ~ 2 α ~ 1 α < 1 α ~ 1 0.02%
  • 53.
    Key Stats • Startby ~2100, transition <5 yr, lasts <2yr • Economy doubles every week to month • Typical em speed: ~1000 times human – Range: 10-9 to 106 time human • Most ems in < ~300 clans, each millions+ • Billions of ems in a few big city-states
  • 54.
    • No pain,hunger, grit, disease, aged bodies • Less death terror • Vast fast population • Huge intricate cities • Great art, story, drugs • Extreme ability, virtue • More stable world • Subsistence wages, long work hours • Easy spur “ends” • ≠ wealth, speed class • Big bureaucratic firms • Little nature, space • More rulers, less vote • More religion, ritual

Editor's Notes

  • #14 Goes by the name “uploads” and “whole brain emulation”. Others focus on technical feasibility, timing, philosophy of identity and consciousness. I’ll focus on social science.
  • #15 Most discussions of ems so far talk about: is it me? Is it conscicous? is it possible? When would it happen? I’m going to what neglected intsead
  • #24 I’m not trying to be creative or contrarian, just to look at something neglected
  • #25 Immortality – but can most afford?; Travel – transmit to new body (but is secure?); Nature – don’t need ecosystems to survive Copies!; Train once, use many; each job few sources; Population explosion, Rapid growth economy doubles monthly? Wages fall to near hardware cost; only Draconian global law can stop Standard econ growth models say our growth limited by rate at which grow labor, diminishing returns to capital
  • #26 So wages are low, near subsistence. Also, economy is more competitive, punishing inefficiency more. We use that a lot in analysis here.
  • #40 Inside, they feel just as human as you do Remember a human life, retain human styles; love, gossip, argue, sing, play, laugh, … Most ems are of the few best suited humans; Smart, conscientious, workaholic; First mover gains, few kids, uneven gender; If most from <300 humans, a forager sociality Humans may not see ems as conscious, or “me”; But same implications, a few to copy is plenty
  • #41 More alienated world (as were farms, factories); More work, less sleep, more inequality; Loyalty tests via sims, shallow mind reading Leisure, office work in virtual reality; No pain, hunger, grime, disease; Less need for eat, clean, medicine More variety in physical bodies, mind speeds; Hardware cost ~ linear in speed to ~10 million x!
  • #47 Base speed no more than one millionth human speed, and maybe less than trillionth!
  • #51 Can talk within prior level’s circle with 3.2sec delay. Within 2 prior levels circle with 51 sec delay