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Hans Moravec

V.I.C.I.'s Real Grandfather,
Hans Moravec



(From Hotwired on-line magazine.)

According to Hans Moravec, by 2040 robots will become as smart as we are.
And then they'll displace us as the dominant form of life on Earth.

But he isn't worried - the robots will love us. And besides, he asks, do we
really want more millennia of the same old human soap opera?

By Charles Platt

 
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Hans Moravec reclines in his chair and places his palms against his chest.
"Consider the human form," he says.

"It clearly isn't designed to be a scientist. Your mental capacity is
extremely limited. You have to undergo all kinds of unnatural training to
get your brain even half suited for this kind of work - and for that reason,
it's hard work. You live just long enough to start figuring things out
before your brain starts deteriorating. And then, you die."

He leans forward, and his eyes widen with enthusiasm. "But wouldn't it be
great," he says, "if you could enhance your abilities via artificial
intelligence, and extend your lifespan, and improve on the human condition?"

Since his earliest childhood, Moravec has been obsessed with artificial
life. When he was 4 years old, his father helped him use a wooden erector
set to build a model of a little man who would dance and wave his arms and
legs when a crank was turned. "It excited me," says Moravec, "because at
that moment, I saw you could assemble a few parts and end up with something
more - it could seem to have a life of its own."

At the age of 10, he constructed a toy robot from miscellaneous scrap metal.
In high school, when another student maintained that no machine could ever
be truly human, Moravec suggested replacing human neurons, one at a time,
using man-made components that would have the equivalent function. At what
point, he asked, would humanness disappear? If a wholly artificial entity is
still able to act human in every way, how could we prove that it isn't
human?

Today, Moravec is a professor at Carnegie Mellon University's Robotics
Institute, the largest robot research lab in the country and one he helped
establish in 1980. He is a rare mixture of visionary and engineer, equally
comfortable speculating on the fate of the planet or using a soldering iron,
microchips, and stepper motors to build high-tech versions of his childhood
dancing man. More than that, though, he's our most gung-ho advocate of
technology as a tool to transform human beings and make us more than we are
- within our lifetimes, if we want it.

Some of his concepts have a confrontational, in-your-face shock value. For
instance, to find out how the mind works, Moravec suggests severing a
volunteer's corpus callosum (the nerve bundle linking the two hemispheres of
the human brain) and interposing a computer to monitor thought traffic.
After the computer has had time to learn the code, it can start inserting
its own input, helping solve difficult math problems, suggesting new ideas,
even offering friendly advice.

Or here's another scenario for anyone who'd like to escape the constrictions
of dull old human biology: a futuristic robot surgeon peels away the brain
of a conscious patient, using sensors to analyze and simulate the function
of every neuron in each slice. As Moravec puts it, "Eventually your skull is
empty, and the surgeon's hand rests deep in your brainstem. Though you
haven't lost consciousness, your mind has been removed from the brain and
transferred to a machine."

But even proposals like these are modest compared with Moravec's Number One
concern, which is nothing less than the future of humanity. By 2040, he
believes, we can have robots that are as smart as we are. Eventually, these
machines will begin their own process of evolution and render us extinct in
our present form. Yet, according to Moravec, this is not something we should
fear: it's the best thing we could hope for, the ultimate form of human
transcendence. And in his own laboratory, he's laying the groundwork that
may help this evolutionary leap happen ahead of schedule.

Not everyone thinks this is such a wonderful idea. Joseph Weizenbaum,
professor emeritus of computer science at MIT, complains that Moravec's book
Mind Children: The Future of Robot and Human Intelligence is as dangerous as
Mein Kampf. Respected mathematician Roger Penrose has written a long essay
for The New York Review of Books in which he twice uses the word "horrific"
to describe some of Moravec's concepts. Book reviewer Poovan Murugesan
denounces Moravec as "a loose cannon of fast ideas" who suffers from
"irresponsible optimism."

Even Moravec's fans seem a little ambivalent. "He comes off as a cross
between Mister Rogers and Dr. Faustus," says writer Richard Kadrey. And in
the words of award-winning science fiction author Vernor Vinge, who is also
an associate professor of mathematical sciences at San Diego State
University, "Moravec puts the rest of the technological optimists to shame.
He is beyond their wildest extremes." But, Vinge adds hastily, "I mean this
as praise!"

How seriously should we take Moravec's ideas? He is widely respected as a
pioneer in robotics, but where is the line dividing his painstakingly
practical research from his unfettered speculation? Why does he insist that
breaking the boundaries of being human is important not just for himself,
but for everyone - and why does he seem so crazy-cheerful about the whole
thing?

These questions were on my mind when I visited Moravec at Carnegie Mellon in
Pittsburgh, Pennsylvania. In person, he's a friendly faced, slightly
overweight, irrepressibly good-humored man in his late 40s who wears homely
clothes and seems shy with strangers. But his enthusiasm gives him a
childlike charm - even when he talks lyrically about human extinction.

His office is next door to the "high bay," a big lab displaying the results
of previous Robotics Institute projects, including a huge, multilegged
"walker" that was sent down into the cone of an active volcano, and a
Pontiac minivan that can drive itself at speeds up to 60 mph. The van has
already found its way from Pittsburgh to Washington, DC, with minimal human
supervision, under the legal fiction that its four onboard Sparcstations and
their mechanical interface are "an advanced form of cruise control."

But Moravec seems bored by these past achievements and has shed most of his
administrative responsibilities at the Robotics Institute. He hides out in a
small, undistinguished, modern office with a couple of computers, a few file
cabinets, a refrigerator, a microwave oven, and a lot of books. This is
where he pursues his immediate goal: designing and programming a domestic
robot that can navigate freely in cluttered home environments. It is the
next logical step, he says, toward truly intelligent machines that we will
not only tolerate but love - even as they threaten to displace us as the
dominant form of life on Earth.

Moravec's early work in robotics was plagued by setbacks. "I spent most of
the 1970s," he recalls, "trying to teach a robot to find its way across a
room. After 10 years, in 1979, I finally had one that could get where it was
going three times out of four - but it took five hours to travel 90 feet."
He chuckles like a fond father recalling the first incompetent steps of his
baby boy.

Why was it so hard for a robot to accomplish a task that even a mouse can
manage with ease? The answer, of course, is that animals have had hundreds
of millions of years in which to evolve motor skills. The problem of moving
through a three-dimensional world is hideously complex, as Moravec
indicates, while counting off the tasks on his fingers: "Our robot used
multiple images of the same scene, taken from different points of view, in
order to infer distance and construct a sparse description of its
surroundings. It used statistical methods to resolve mismatching errors. It
planned obstacle-avoidance paths. And then it had to decide how to actually
turn its motors and wheels."

In 1980, he built new robots and attempted to boost their performance. "But
the best we were able to do with our old approach," he recounts, "was speed
it up about tenfold and improve its accuracy tenfold. We did not manage to
reduce its brittleness."

By "brittleness" Moravec means that the system tended to fail suddenly and
catastrophically. "Accidental conspiracies of sensory miscues would lead it
to a wrong conclusion while being sure that it was right. In practical
terms, it could misidentify the surrounding objects and run into a wall."

Like Wile E. Coyote in a Road Runner cartoon, trying to run into the mouth
of a tunnel painted on a rockface?

"Precisely!" he laughs again, sounding genuinely happy, as he does whenever
he describes the lovably fallible behavior of his creations.

In 1984, using US$10 Polaroid ultrasonic range finders instead of expensive
video cameras, he created a new commercial robot that analyzed maps of the
surrounding space rather than just objects in it. The result, to his
surprise, was a system that could navigate reliably and relatively swiftly.

Moravec's current research robot, a project initiated in 1987, now sits in a
small workshop just across the corridor outside his office. "Would you like
to take a look?" he asks.

We walk into a windowless space no larger than an average living room. There
are a couple of video monitors, workbenches littered with tools, pale beige
walls, and a vinyl floor. The robot stands in the center of the room: an
ugly little four-wheeled truck the size of a go-cart. But Moravec exudes
pleasure and affection as he guides his toy out of the workshop, into the
hall, and back again.

"Today's best robots can think at insect level," he says as we return to his
office. He explains that state-of-the-art mobile robots orient themselves by
sensing special markers placed on floors, walls, or ceilings. Insects behave
the same way: ants follow pheromone trails, lightning bugs look for each
other's flashes, and moths navigate with reference to the moon.

The trouble is, such systems are still brittle. Just as a moth can become
fatally confused by fixing on candlelight instead of moonlight, a robot
guided by markers can easily make a disastrous mistake - as happened when
one designed by a Connecticut company to distribute hospital linens took a
nosedive down a flight of stairs when it failed to notice a marker that was
supposed to tell it not to proceed past a certain point.

Robots that orient themselves with markers have found some application in
industry - transporting pallets and cleaning floors - but they offer few
advantages over the older systems that follow hidden guide wires. As a
result, the market is very limited. "In fact," says Moravec, "the market
barely exists at all. So, what we're shooting at now is a robot with the
intelligence of a small vertebrate - the smallest fish you can imagine. It
will no longer depend on navigational points; it will build a relatively
dense representation of volumes of space."

By 2000, he foresees that this type of machine will find its own way around
complex, cluttered places without using markers and without needing to be
installed by experts. At first these robots will be expensive and
specialized, but Moravec predicts they will become smaller, cheaper, and
more user-friendly in just the same way that microcomputers evolved from
mainframes. "Once we have a robot that customers can take out of the box,
show it a job, and trust it to work without doing silly things - then the
market will grow easily to hundreds of thousands and beyond. Any institution
that does regular cleaning will find that it's cheaper to use a robot than a
person. The same goes for delivery jobs."

Moravec estimates that these systems will need an onboard computer capable
of 500 million instructions per second. The first IBM PCs managed 0.3 mips;
a modern Pentium-based PC reaches 200 mips; and it's reasonable to expect
that 500-mips processors will be affordable by the turn of the century.

This power will enable the robot to convert 500-by-500-pixel stereoscopic
pictures from its camera eyes into a 3-D model consisting of about
100-by-100-by-100 cells. Updating and processing all this visual information
will take about one second - the longest interval that is reasonably safe
and practical, since the robot will move blindly between glimpses of the
world.

Once robots find a niche doing dull, repetitive jobs, Moravec sees an
ever-expanding market. "The next step will be adding an arm and improving
the sensor resolution so that they can find and manipulate objects. The
result will be a first generation of universal robots, around 2010, with
enough general competence to do relatively intricate mechanical tasks such
as automotive repair, bathroom cleaning, or factory assembly work."

By "universal" Moravec means the robot will tackle many different jobs in
the same way a Nintendo system plays many different games. Plug in one
cartridge, and the robot will know how to change the oil in your car. Plug
in another, and it will know how to patrol your property and challenge
intruders.

Add more memory and computing power and enhance the software, and by 2020 we
have a second generation that can learn from its own performance. "It will
tackle tasks in various ways," says Moravec, "keep statistics on how well
each alternative has succeeded, and choose the approach that worked best.
This means that it can learn and adapt. Success or failure will be defined
by separate programs that will monitor the robot's actions and generate
internal punishment and reward signals, which will actually shape its
character - what it likes to do and what it prefers not to do."

Moravec pauses. The near future of robotics is something he's spelled out a
thousand times before, and he no longer finds it particularly exciting. But
now we get to a subject that interests him more: the idea that robots can
mimic human traits.

By 2030, according to Moravec, we should have a third-generation universal
robot that emulates higher-level thought processes such as planning and
foresight. "It will maintain an internal model not only of its own past
actions, but of the outside world," he explains. "This means it can run
different simulations of how it plans to tackle a task, see how well each
one works out, and compare them with what it's done before." An onlooker
will have the eerie sense that it's imagining different solutions to a
problem, developing its own ideas.

But perfecting the model of reality this robot will need is not going to be
an easy task. In fact, creating this model is the single hardest problem in
artificial intelligence. Intuitively, human beings know why they need to
wear a raincoat in wet weather, or why they must turn the handle before
pushing open a door. Almost without thinking we know if a bottle is empty,
whether an object is breakable, or when food has spoiled. But to an
artificial intelligence, none of these things is obvious - each everyday
fact must be established in advance or derived from logical principles.

On the plus side, each time a robot learns a fact or masters a skill, it
will be able to pass its knowledge to other robots as quickly and easily as
sending a program over the Net. This way, the task of understanding the
world can be divided among thousands or millions of robot minds. As a
result, the machines will soon develop a deeper knowledge base than any
single person can hope to possess. Within a short space of time, robots that
are linked in this way will no longer need our help to show them how to do
anything.

Meanwhile, they will be smart enough to interact with us on a human level.
"Their world model will include psychological attributes," Moravec says,
"which means, for instance, that a robot will express in its internal
language a logical statement such as 'I must be careful with this item,
because it is valuable to my owner, and if I break it, my owner will be
angry.' This means that if the robot's internal processes are translated
into human terms, you will hear a description of consciousness - especially
if the robot applies psychological attributes to its own actions, as in 'I
don't like to bump into things,' which is a compact way of saying that the
robot gets an internal negative reinforcement signal whenever it collides
with something, or imagines a collision."

Moravec's critics are skeptical on this point. Many have stated flat out
that a machine can never be "conscious." Their arguments are hard to refute,
partly because no one can really say what consciousness is; but Moravec
sidesteps the issue. He believes a robot that understands human behavior can
be programmed to act as if it is conscious, and can also claim to be
conscious. If it says it's conscious, and it seems conscious, how can we
prove that it isn't conscious?

Either way, there's no doubt that systems that can analyze their world,
deduce generalizations, and modify their behavior will have a major impact
on society.

"The robots will still be in our thrall," Moravec points out, meaning that
we will still be designing and programming them to serve and obey us.
"They'll learn everything they know from us, and their goals and their
methods will be imitations of ours. But as they become more competent,
efficiency and productivity will keep going up, and the amount of work for
humans will keep going down. By around 2040, there will be no job that
people can do better than robots."

He sits back in his chair, pausing with cheerful satisfaction as he does
whenever he reaches a radical conclusion that places him one step ahead,
waiting for his audience to catch up.

In this case, though, Moravec's conclusion is less radical than it seems -
because when many jobs are broken down into tasks, they require a relatively
limited degree of "humanness." Even today, we have expert systems that offer
advice based on a large number of facts in a field such as medicine or
geology. Imagine this expertise gradually broadening to include subjects
such as corporate law, mechanical design, profitability, and efficiency.
Decisions in these areas are all made logically from sets of facts, which
means that if the facts are completely spelled out, a machine intelligence
should be able to deal with them.

Thus a corporation can literally become automated from the bottom up: first
the assembly lines, then bookkeeping, product design, and planning. Even
management can be taken over by computers that are able to learn from past
performance. Ultimately, a corporation will consist of a diverse mix of
robots, some mobile, some fixed, some large and powerful, some microscopic,
all interacting with speed and versatility that is completely beyond human
abilities.

But what about the time scale? Isn't he compressing a huge amount of
progress into a very few decades?

"Back in the 1970s I made some overoptimistic assumptions about the rate of
progress of computers. I thought that using an array of cheap
microcomputers, we might achieve human equivalence by the mid-1980s. Then I
did a slightly more careful calculation around 1978 and decided it would
take another 20 years, requiring a supercomputer. But then I started getting
serious, writing articles and essays, and I thought I should do the
calculations more rigorously. So I collected 100 data points of previous
computer progress, I did the best calculation I could, I compared the human
retina with computer vision applications, and I plotted it all out."

Still, even if his predictions are confirmed to be on schedule, there's an
obvious problem: When robots are doing all the work, no one will earn any
money. How can an economy flourish when all the consumers are penniless?

Moravec obviously isn't troubled by the question. In fact, it's hard to
imagine any question bothering him: he sits calmly, comfortably, eating the
questions and spitting out answers with ease. Today, he points out, people
who retire are supported via wealth that is ultimately created by industry.
As industry becomes more efficient, there will be more wealth, allowing
people to retire earlier. When industry is totally automated and
hyper-efficient, it will create so much wealth that retirement can begin at
birth. "We'll levy a tax on corporations," Moravec says, "and distribute the
money to everyone as lifetime social-security payments."

But what if the robot-run corporations fail to function as he expects? He
assumes these business entities will follow programs written by us,
compelling them to obey laws and pay their taxes. But the programming will
also encourage robot-controlled corporations to compete with each other.

Won't they try to exploit loopholes in their instructions, just as
present-day businesses try to evade federal regulations? Isn't there a real
risk that autonomous robots will steal from each other and cheat on their
taxes?

"There is always the possibility that some kind of malfunction will produce
a rogue corporation," Moravec admits. "We'll need police provisions so that
legal companies will act to suppress rogues economically, or physically, if
necessary. And among the inprogrammed laws we'll need antitrust clauses to
force dangerously large companies to divest into smaller entities."

But this would be a second set of rules to solve a problem created by robots
breaking the first set of rules. The system still seems fundamentally
unstable.

"It is unstable," he agrees. "Everything will depend on the way in which we
create it. Crafting these machines and the corporate laws that control them
is going to be the most important thing humanity ever does. You know, each
age has an activity in which the best minds get involved. Crafting the laws,
and their implementation, will be the thing to do in the 21st century."

If the job is done right, he predicts a world of comfort, health, and
boundless plenty - at least for a while. Human beings will be like slave
owners whose servants never complain, need no supervision, and are
constantly eager to please.

In the long term, though, robots programmed to serve us with maximum
efficiency can become a potential hazard. They will naturally try to obtain
energy and raw materials as cheaply as possible, with a minimum of
regulatory interference. And the ideal way to do this is by relocating some
of their operations beyond planet Earth.

Unlike human beings, robots don't need to breathe air, aren't disoriented by
zero gravity, and can be easily shielded from harmful radiation. There are
vast mineral resources in the asteroid belt, where there will be no
regulations regarding pollution, noise, or safety. Robot factories located
in space would be able to manufacture products with maximum efficiency and
then drop them down into Earth's gravity well. Alternatively, they could
conduct hazardous research and radio the encrypted results back to their
parent corporation on Earth.

Only a small "seed colony" of robots would be needed to set up an off-world
operation. Using local mineral ores and solar energy, robots could build
everything they required - including copies of themselves.

In this scenario, everything is still being controlled by the parent
corporations, which are still being controlled by us. Therefore, the
off-world operations should present no problems. "But now suppose a company
goes out of business," Moravec says, "leaving its research division in
space, where there's no supervision. The result is self-sustaining,
superintelligent wildlife."

This marks the point where the genie finally gets out of the bottle and
Earth's retirement community of pampered humans finds itself faced with a
big problem. Out in space, the preprogrammed drive to compete and be
efficient will result in the runaway evolution of machine capabilities.

Moravec feels that in a short period of time, all the local materials will
be plundered and converted into machines, and all available solar energy
will be used to power them.

The result will be a dense, interacting swarm of competing entities -
although, he says, the competition will be relatively benign. Warfare among
robots will be rare because "fighting wastes energy, and a third entity can
eat the pieces."

He believes that the most useful skill will be intelligence. Robots will be
motivated to make themselves as small as possible, conserving raw materials
to build better brains. "As a result, you end up with the whole mess forming
a cyberspace where entities try to outsmart each other by causing their way
of thinking to be more pervasive. Here's an ecology where all the
dead-matter activity has been squeezed out and almost everything that
happens is meaningful. You have this sphere of cyberspace with a robot
shell, expanding outward toward Earth."

What will it look like?

"It will look like a region of space glowing warmly, with hardly anything
visible on a human scale. The competitive pressure toward miniaturization
will result in activity on the subatomic level. They'll transform matter in
some way; it will no longer be matter as we know it."

Since space-based machine intelligences will be free to develop at their own
pace, they will quickly outstrip their cousins on Earth and eventually will
be tempted to use the planet for their own purposes. "I don't think humanity
will last long under these conditions," Moravec says. But, ever the
optimist, he believes that "the takeover will be swift and painless."

Why? Because machine intelligence will be so far advanced, so
incomprehensible to human beings, that we literally won't know what hit us.
Moravec foresees a kind of happy ending, though, because the cyberspace
entities should find human activity interesting from a historical
perspective.

We will be remembered as their ancestors, the creators who enabled them to
exist.

As Moravec puts it, "We are their past, and they will be interested in us
for the same reason that today we are interested in the origins of our own
life on Earth."

He seems very sincere as he says this, almost as if it's an article of faith
for him - though of course it has some logical foundation. Machine
intelligences of the far future will develop from our initial programming,
just as a child grows from its parents' DNA. Consequently, even when robots
are smarter than we are, they should retain many of our priorities and
values.

But Moravec takes the scenario even one step further. Assuming the
artificial intelligences now have truly overwhelming processing power, they
should be able to reconstruct human society in every detail by tracing
atomic events backward in time. "It will cost them very little to preserve
us this way," he points out. "They will, in fact, be able to re-create a
model of our entire civilization, with everything and everyone in it, down
to the atomic level, simulating our atoms with machinery that's vastly
subatomic. Also," he says with amusement, "they'll be able to use data
compression to remove the redundant stuff that isn't important."

But by this logic, our current "reality" could be nothing more than a
simulation produced by information entities.

"Of course." Moravec shrugs and waves his hand as if the idea is too
obvious. "In fact, the robots will re-create us any number of times, whereas
the original version of our world exists, at most, only once. Therefore,
statistically speaking, it's much more likely we're living in a vast
simulation than in the original version. To me, the whole concept of reality
is rather absurd. But while you're inside the scenario, you can't help but
play by the rules. So we might as well pretend this is real - even though
the chance things are as they seem is essentially negligible."

And so, according to Hans Moravec, the human race is almost certainly
extinct, while the world around us is just an advanced version of SimCity.

I've been sitting opposite Moravec in his office, typing on my laptop
computer, following his exposition step by step. The vision he has described
exists for him as a unified whole; it takes him only about an hour to
describe it clearly and fluently from beginning to end. For him it seems
entirely pleasurable: a destiny that grows out of his own work and affirms
his own values.

His critics, of course, disagree. They complain that his vision is inhuman,
lacking attributes such as culture and art that seem central to our
identity. Skeptics also point out that the negative implications of his work
far outweigh its benefits in the near future, when robots will cause a huge
economic dislocation, creating a feeling of purposelessness among citizens
who are rendered permanently unemployable.

Moravec is quite aware of this but sees no way to prevent it. He says his
projection of the future is at least 50 percent probable, and we're seeing
the first signs of it right now. "In Europe generally," he says, "I believe
unemployment is now up to around 15 percent, and essentially this will never
reverse. We're already moving into the mode I envisage, where everyone is
subsidized by productive machines."

This has created uncertainty and discontent - as he readily admits. "We all
agree," he says, "that the world is a bit screwed up. The reason for this is
rather obvious. We have a Stone Age brain, but we don't live in the Stone
Age anymore. We were fitted by evolution to live in tribal villages of up to
200 relatives and friends, finding and hunting our food. We now live in
cities of millions of strangers, supporting ourselves with unnatural tasks
we have to be trained to accomplish, like animals who have been forced to
learn circus tricks."

In which case, what's the answer? Moravec adamantly believes that reversing
the evolution of technology would create an even bigger disaster. "Most of
us would starve," he says. He suggests the opposite approach: that we try to
catch up with technology by accelerating our own evolution. "We can change
ourselves," he says, "and we can also build new children who are properly
suited for the new conditions. Robot children."

Inevitably, I ask whether he has any normal, flesh-and-blood children.

"No. In fact, I am biologically incapable of it. I contracted testicular
cancer as I was finishing my PhD; it didn't affect me very much, it didn't
really hurt, I noticed a growth, but I still had my thesis to write and my
orals to do, and the whole thing seemed very unreal. There were two
surgeries, one minor, one major - with my intestines out in a bag to get at
the lymph nodes. I came through it in sparkling condition, aged around 30.
But a side effect is that I'm basically infertile."

Does this mean that his love of robots is nothing more than a displaced
desire for the biological children he can't have?

"Not at all. Long before the cancer, I was already obsessively committed to
robots for whatever neurotic reason. That was where I wanted to spend my
energy. I met my wife in the hospital when I was getting chemotherapy in
1980. She already had two children, so I inherited them as stepchildren."

Does his wife share any of his feelings about machines?

He laughs. "At the moment, my wife is a biblical scholar."

Moravec himself was raised Catholic, but he rebelled against it as a
teenager and says he still has some anti-Catholic reflexes. As a result, he
and his wife had some bitter theological debates in the past. "But these
days there's no point in arguing," he says, "because we already know exactly
what each other is going to say, and in any case she's more astute in human
relations than I am, so she knows how to handle me. But I have changed my
outlook slightly. I'm a little less hard-core in my atheism than I used to
be. And my ideas about resurrection in some ways are not so different from
those of early theologians, or from the Greek thought that fed into that."

Also, of course, the desire for human transcendence has been a fundamental
feature of almost all religions. And Moravec's vision of a supremely
powerful artificial intelligence that will love humanity enough to re-create
it is basically a vision of a god - the only difference being that in his
scheme of things, we create god version 1.0, after which it builds its own
enhancements.

But how does all this fit in with Moravec's obvious personal love for
machines?

"My father was an engineer in Czechoslovakia and had a business making and
selling electrical goods during the war. When the Russians arrived in 1944,
he became a refugee. He left the country on a tricycle with 50 kilos of
tools and 50 kilos of food. He met my mother in Austria, which is where I
was born. He had an electrical store, where he'd hand wind transformers to
convert battery-operated radios so they'd run on house current. We relocated
to Canada in 1953."

Growing up in Montreal, learning English and adjusting to a strange new
culture, Hans Moravec was a solitary child who found solace in building
models and gadgets. "I remember the thrill I got when I put together
something and made it work. I could admire it for hours. And these things
also made other people proud of me. I guess I actually thought that they
would get me a wife! I knew I didn't have any social skills, but maybe if I
could build these machine things really, really well, it would make me more
attractive to women." He laughs at his own childhood naivete.

And yet, he didn't always want to be a scientist. First he wanted to be
Superman. "But I could see that it wasn't practical. Then I noticed another
character in the comics, Lex Luthor, who didn't have superpowers but was
almost a match for Superman. So, I thought if I couldn't be Superman, maybe
I could be Lex Luthor."

In person, Moravec seems diffident and gentle; he doesn't drive a car
because, he says, he's uneasy with so much potentially dangerous mass in his
control. He likes living in Pittsburgh because his home is a short walk from
his office, and he seems to feel little need to venture outside this simple
life.

Yet as a child he enjoyed fantasies about superheroes and supervillains, and
as an adult he talks casually of totally rebuilding human society. He refers
to his new book, for which he's currently seeking a publisher, as "a kind of
speculative long-term business plan for humanity," and in it he speaks
condescendingly of "Earth's small-minded biological natives." Can Moravec
really claim that his work as a scientist is in no way manipulative?

"People such as myself," he says, "may have a little bit of influence, but
we're like mosquitoes pushing at a rolling boulder. Progress is inflicted on
people in the same way that natural evolution is inflicted on people. It
really is evolution; it's the selection and growth of information,
transmitted from one generation to the next."

But what about the rights of people who don't love the rolling boulder of
progress?

"Well," he says, beginning to sound a little impatient with my objections,
"they'll - they'll get used to it! In fact, they should enjoy it, since the
amount of wealth will be astronomical; you'll be able to live anywhere and
in any way you want."

In any case, he says, the progress he's talking about will be offered via
the free market, not physically imposed on anyone. "All I'm suggesting is
that we give people a choice. In the next decade, people will either buy
their housecleaning robot or not buy it. And I think they'll want to buy it.
Then they'll have the choice of upgrading to one that learns, and I think
they'll want that, too. Then they'll have the choice of a robot that claims
it's conscious, a really nice entity that talks like a person, seems to
understand you, and has nothing but your best interests at heart - because
that's how it's programmed. And then the fourth generation will take that
personality and add intelligence. It will be a constant help to you; it will
explain why something that you want to do isn't what you should do - because
it loves you. I think people will like these machines and will quickly get
used to them."

Well, yes - until the machines cut loose, develop hyperintelligence, and
bring about our demise.

"But I don't consider it a demise," Moravec retorts, still insisting that
his vision is wholly positive. "The robots will be a continuation of us, and
they won't mean our extinction any more than a new generation of children
spells the extinction of the previous generation of adults. In any case, in
the long term, the robots are much more likely to resurrect us than our
biological children are."

For people who find long-term resurrection a somewhat nebulous concept,
there are also some practical reasons why we should be happy to change
ourselves radically. On a long-term basis, Moravec points out, our planet
may not be a hospitable place to live. Huge climatic shifts may occur (as
they did during the ice ages). Our sun may become unstable. The world may be
ravaged by incurable diseases. Our entire ecology could be destroyed by a
large meteor or comet. "Sooner or later," he says, "something big will come
along that we cannot deal with. But by changing ourselves in the most
fundamental way, we will be able to survive such catastrophes."

This is an arguable point of view, but I can't help wondering which came
first, Moravec's personal interest in becoming more than human, or his proof
that it's really a very good idea. He readily admits that he has a personal
obsession with robots, and his passion for transcendence is far more extreme
than that of most scientists. What makes him so different from everyone
else?

"Well, I was breast-fed as a baby," he answers with typically disconcerting
candor. "I was also the first born of my family, and I was well loved by my
mother - which must have helped me feel confident about life." He pauses,
realizing that this explanation isn't adequate. "Maybe the idea of human
transcendence makes me happy because my endorphin levels were misadjusted
early on in life," he says with a laugh and a shrug, unable to come up with
a better answer.

Personally, I suspect he likes the idea of radical change because he's an
intensely intelligent man who is easily bored by the everyday world. He
finds it impossible to believe that it makes sense to continue, as human
beings, in our exact same form. "Do we really want more of what we have
now?" he asks, sounding incredulous. "More millennia of the same old human
soap opera? Surely we have played out most of the interesting scenarios
already in terms of human relationships in a trivial framework. What I'm
talking about transcends all that. There'll be far more interesting stories.
And what is life but a set of stories?"

Ultimately, Moravec comes back again to the power and grandeur of a destiny
that exceeds all limits. "This universe is so big," he says. "The
possibilities must be infinitely greater than anything we can imagine for
ourselves. Pushing things in the direction of expanded possibilities seems
to be by far the most productive use of my time. And that, here, is my
purpose."

Charles Platt (cp@panix.com) writes science fiction books and science
articles. His most recent work is The Silicon Man. He is a frequent
contributor to Wired.

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Copyright (c) 1995 Wired Ventures Ltd.
Compilation copyright (c) 1995 HotWired Ventures LLC

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