'Technology,
hailed as the means of bringing nature under the control of our intelligence,
is enabling nature to exercise intelligence over us'
(Dyson 1997).
But it is more
likely that the future of our intelligence will be influenced by developments underway in robotics. Progress in
machine intelligence will have absolutely mind-boggling effects on
our intelligence. Why?
At present we
make a distinction between two kinds of intelligence: biological or organic
intelligence, and machine or inorganic intelligence. A composite
(organic-inorganic, or man-machine) intelligence will evolve in the near future
(cf. Part 89). It appears
inevitable that, aided by human beings, an empire of inorganic life (intelligent robots) will evolve, just as biological
or organic life has evolved. We are about to enter a post-biological world, in which machine intelligence, once it has
crossed a certain threshold, will not only undergo Darwinian and Lamarckian
evolution on its own, but will do so millions of times faster than the
biological evolution we are familiar with so far. The result will be
intelligent structures with a composite, i.e. organic-inorganic or man-machine, intelligence.
Moravec's (1999) book, 'Robot:
Mere Machine to Transcendent Mind', sets out a possible scenario. He expects robots to model
themselves on successful biological forms. One such form - used by trees, the
human circulatory system, and basket starfish - is a network of ever-finer branches: the starfish robot.
A 'bush robot' is another likely development in
Moravec's scheme of things: 'Twenty-five branchings would connect a meter-long
stem to a trillion fingers, each a thousand atoms long and able to move about a
million times per second.'
Medical applications are one among the many likely
uses of the bush robot listed by Moravec: 'The most complicated procedures
could be completed almost instantaneously by a trillion-fingered robot, able,
if necessary, to simultaneously work on almost every cell of a human body.'
When will all
this happen, and what will be its possible bearing on our intelligence?
Estimates vary widely. The most
optimistic ones are those of Kurzweil. This is what
he wrote in 1999: 'Sometime
early in the next century, the intelligence of machines will exceed that of
humans. Within several decades, machines will exhibit the full range of human
intellect, emotions and skills, ranging from musical and other creative
aptitudes to physical movement. They will claim to have feelings and, unlike
today’s virtual personalities, will be very convincing when they tell us so. By
2019 a $1,000 computer will at least match the processing power of the human
brain. By 2029 the software for intelligence will have been largely mastered,
and the average personal computer will be equivalent to 1,000 brains.'
There were
reasons for the optimism exuded by Kurzweil: 'We are already putting computers –- neural implants
-– directly into people’s brains to counteract Parkinson’s disease and tremors
from multiple sclerosis. We have cochlear implants that restore hearing. A
retinal implant is being developed in the U.S. that is intended to provide at
least some visual perception for some blind individuals, basically by replacing
certain visual-processing circuits of the brain. Recently scientists from Emory
University implanted a chip in the brain of a paralyzed stroke victim that
allows him to use his brainpower to move a cursor across a computer screen.'
In his book The Age of Spiritual Machines (1999), Kurzweil enunciated his Law of Accelerating
Returns, which simply paraphrases the occurrence of positive feedback in
the evolution of complex adaptive systems in general, and biological and artificial
evolution in particular; the law embodies exponential growth of
evolutionary complexity and sophistication: 'advances build on one another and progress erupts
at an increasingly furious pace. . . .As order exponentially increases (which reflects the essence of evolution),
the time between salient events grows shorter. Advancement speeds up. The
returns –- the valuable products of the process –- accelerate at a nonlinear
rate. The escalating growth in the price performance of computing is one
important example of such accelerating returns. . . The Law of Accelerating
Returns shows that by 2019 a $1,000 personal computer will have the processing
power of the human brain –- 20 million billion calculations per second. . . Neuroscientists
came up with this figure by taking an estimation of the number of neurons in
the brain, 100 billion, and multiplying it by 1,000 connections per neuron and
200 calculations per second per connection. By 2055, $1,000 worth of computing
will equal the processing power of all human brains on Earth (of course, I may
be off by a year or two).'
The law is similar to Moore's law, except that it
is applicable to all 'human technological advancement, the billions
of years of terrestrial evolution' and even 'the entire history of the
universe'.
Kurzweil's latest book How to Create a Mind (2012) has been summarized in considerable detail at http://newbooksinbrief.com/2012/11/27/25-a-summary-of-how-to-create-a-mind-the-secret-of-human-thought-revealed-by-ray-kurzweil/.
He puts forward a 'pattern recognition theory' for how the brain functions,
similar to Jeff Hawkins' theory published in his famous book On Intelligence: How a New Understanding of the Brain will Lead to the Creation of
Truly Intelligent Machines (2004). According to
Kurzweil, our neocortex contains 300 million very general pattern-recognition
circuits which are responsible for most aspects of human thought, and a
computer version of this design can be used to create artificial intelligence
more capable than the human brain. As computational power grows, machine
intelligence would represent an ever increasing percentage of total
intelligence on the planet. Ultimately it will lead (by 2045) to the 'Singularity',
a merger between biology and technology. 'There will be no distinction, post-Singularity,
between human and machine intelligence . . .'.
It is only a matter of time
before we merge with the intelligent machines we are creating.
Stephen
Hawking expressed the fear that humanity may destroy itself if there is a
nuclear holocaust, and suggested the escape of at least a few individuals into
outer space as a way for preserving the human race. But, for all our bravado,
our bodies are delicate stuff which can survive only in a narrow range of
temperatures and other environmental conditions. But our robots will not suffer
from that handicap, and will be able to withstand high radiation fields,
extreme temperatures, near-vacuum conditions, etc. Such robots (or even cyborgs) will be able
to communicate with one another, with the inevitable possibility of developing
distributed intelligence. And when
each such robot is already way ahead of us in intelligence, a distributed superintelligence
will emerge, capable of further evolution, of course. The ever evolving
superintelligence and knowledge will benefit each agent in the network, leading
to a snowballing effect.
Further, the
superintelligent agents may organize themselves into a hierarchy, rather like what occurs in the human neocortex. Such an
assembly would be able to see incredibly complex patterns and analogies which
escape our comprehension, leading to a dramatic increase in our knowledge and
understanding of the universe. Moravec expressed the view that this superintelligence
will advance to a level where it is more mind than matter, suffusing the entire
universe. We humans will be left far behind, and may even disappear altogether
from the cosmic scene.
An
alternative though similar picture was painted by Kurzweil (2005), envisioning
a coevolution of humans and machines via neural implants that will
enable an uploading of the human carbon-based neural circuitry into the
prevailing hardware of the intelligent machines. Humans will simply merge with
the intelligent machines. The inevitable habitation of outer space and the
further evolution of distributed intelligence will occur concomitantly. Widely
separated intelligences will communicate with one another, leading to the
emergence of an omnipresent superintelligence.
You want to
call that 'God'? Don't. That omnipresent
superintelligence would be our creation; a triumph of our science
and technology; a result of what we humans can achieve by adopting the
scientific method of interpreting data and information.
'We are the brothers and sisters of our machines' (Dyson 1997).
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