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The Pace and Proliferation of Biological Technologies
The parts for a DNA synthesizer can now be purchased for approximately $10,000. By 2010 a single person will be able to sequence or synthesize 10^10 bases a day. Within a decade a single person could sequence or synthesize all the DNA describing all the people on the planet many times over in an eight-hour day or sequence his or her own DNA within seconds. Given the power and threat of biological technologies, the only way to ensure safety in the long run is to push research and development as fast as possible. Open and distributed networks of researchers would provide an intelligence gathering capability and a flexible and robust workforce for developing technology.
Originally published in Biosecurity
and Bioterrorism: Biodefense Strategy, Practice, and Science Volume
1 Number 3, August 2003. Published on KurzweilAI.net March
4, 2004.
THE ADVENT OF THE home molecular biology laboratory is not far
off. While there is no Star Trek "Tricorder" in sight, the
physical infrastructure of molecular biology is becoming more sophisticated
and less expensive every day. Automated commercial instrumentation
handles an increasing fraction of laboratory tasks that were once
the sole province of doctoral level researchers, reducing labor
costs and increasing productivity. This technology is gradually
moving into the broader marketplace as laboratories upgrade to new
equipment. Older, still very powerful instruments are finding their
way into wide distribution, as any cursory tour of eBay will reveal.1
These factors are contributing to a proliferation that will soon
put highly capable tools in the hands of both professionals and
amateurs worldwide. There are obvious short term risks from increased
access to DNA synthesis and sequencing technologies, and the general
improvement of technologies used in measuring and manipulating molecules
will soon enable a broad and distributed enhancement in the ability
to alter biological systems. The resulting potential for mischief
or mistake causes understandable concern—there are already
public calls by scientists and politicians alike to restrict access
to certain technologies, to regulate the direction of biological
research, and to censor publication of some new techniques and data.
It is questionable, however, whether such efforts will increase
security or benefit the public good. Proscription of information
and artifacts generally leads directly to a black market that is
difficult to monitor and therefore difficult to police. A superior
alternative is the deliberate creation of an open and expansive
research community, which may be better able to respond to crises
and better able to keep track of research whether in the university
or in the garage.
FACTORS DRIVING THE BIOTECH REVOLUTION
The development of powerful laboratory tools is enabling ever more
sophisticated measurement of biology at the molecular level. Beyond
its own experimental utility, every new measurement technique creates
a new mode of interaction with biological systems. Moreover, new
measurement techniques can swiftly become means to manipulate biological
systems. Estimating the pace of improvement of representative technologies
is one way to illustrate the rate at which our ability to interact
with and manipulate biological systems is changing.
For example, chemically synthesized DNA fragments, or oligonucleotides,
can be used in DNA computation, in the fabrication of gene expression
arrays ("gene chips"), and to make larger constructs for genetic
manipulation. Mail-order oligonucleotides were with much fanfare
recently used to build a functional poliovirus genome from constituent
molecules for the first time.2 The rate at which DNA
synthesis capacity is changing is thus a measure of the improvement
in our ability to manipulate biological systems and biological information.
Similarly, improvements in DNA sequencing capabilities are a measure
of our ability to read biological information; in particular the
ability to proofread the results of DNA synthesis. Here I refer
to such technology, whether instrument or molecule, as "biological
technology."
THE PACE OF TECHNOLOGICAL CHANGE THROUGH THE PRISM OF MOORE'S
LAW
Figure 1 contains estimates of potential daily productivity of
DNA synthesis and sequencing based on commercially available instruments,
including the time necessary to prepare samples. There have been
only a few generations of instruments—there is thus a limited
amount of data for examination. These estimates are not intended
to absolutely quantify a rate of change, but rather to capture the
essence of the trends. Several technologies used in protein structure
determination show similar trends (Figure 2), suggesting a general
rapid improvement of biological technologies. As a reference, Moore's
Law, which describes the doubling time of the number of transistors
on microchips, is also shown in Figure 1.
FIG. 1. On this semi-log
plot, DNA synthesis and sequencing productivity are both increasing
at least as fast as Moore?s Law (upwards triangles). Each of the
remaining points is the amount of DNA that can be processed by one
person running multiple machines for one eight hour day, defined
by the time required for preprocessing and sample handling on each
instrument. Not included in these estimates is the time required
for sequence analysis. For comparison, the approximate rate at which
a single molecule of E. coli DNA Polymerase III replicates
DNA is shown (dashed horizontal line), referenced to an eight-hour
day.
Sample processing time and cycle time per run for
instruments in production are based on the experience of the scientific
staff of the Molecular Sciences Institute and on estimates provided
by manufacturers. ABI synthesis and sequencing data and Intel transistor
data courtesy of those corporations. Pyrosequencing data courtesy
of Mostafa Ronaghi at the Stanford Genome Technology Center. GeneWriter
data courtesy of Glen Evans, Egea Biosciences. Projections are based
on instruments under development.
Comparing anything to Moore's Law is already a cliché, but doing
so remains a useful device to gauge our expectations of how other
technologies will affect socioeconomic change. This comparison starts
with the observation that chip doubling times are a consequence
of the planning intrinsic to the semiconductor and computer industry.3
Moore's Law is primarily a function of the capital cost and resource
allocation necessary to build chip fabrication plants. In addition,
for much of the last thirty years there was feedback between the
ability to design new chips and the computational power of the chips
used in the design process.
We can now see the beginnings of a similar effect in the development
of biological technologies. For example, enzymes optimized for laboratory
conditions are used in the preparation of DNA for sequencing, where
earlier sequencing technologies were part of characterizing and
modifying those enzymes. Recombinant proteins are used every day
to elucidate interactions between proteins within organisms, and
that information is already being used to design and build new protein
networks. Enzymes are directly used in a process known as Pyrosequencing,4
and its performance (Figure 1) is an indication of what will happen
when we begin to manipulate biology, using biology, on a large scale
at many levels of complexity.
FIG. 2. The dramatic
improvement in the time required to determine protein structures
is evidence of a general trend towards increased productivity in
biological technologies. Many of the technologies used in finding
protein structures are used widely in biology for other purposes.
Raw estimates of time to collect and crystallize recombinant proteins,
to take x-ray data, and to build structural models were compiled
by Richard Yu (The Molecular Sciences Institute, Berkeley, CA) based
on his experience and a survey of five additional crystallographers.
From these estimates, the shortest time and mean time to find protein
structures were computed. The time required for each step can vary
significantly depending upon the protein. For example, successful
crystallization may take anywhere between hours and months of effort.
The difference between the estimates of the average time to structure
and the shortest time to structure illustrates the difficulty in
absolutely quantifying productivity.
Other observers have compared increases in the total number of
sequenced genes to Moore's law. But this mixes proverbial apples
and oranges because total sequencing productivity is a measure of
total industrial capacity (the number of sequencing instruments
produced and in operation) whereas the number of transistors is
ostensibly a measure of the potential productivity improvements
enabled by each individual computer. The total number of sequenced
genes is more analogous to the total number of computer chips in
existence, or possibly the total number of computational operations
enabled by those chips. Comparing Moore's Law to estimates of the
daily productivity of one person at a biology laboratory bench is
appropriate because that productivity determines how much benefit,
or havoc, one person can generate.
An alternative statement of Moore's Law is "Computational resources
for a fixed price double every 18 months." Assuming for a moment
that the cost of appropriately skilled labor has remained constant,
the units of the vertical axis in Figure 1, "bases synthesizedâÂ
Ãf=GET http://www.neurosurgery-online.com/b day," match the metric of resource
cost, which is explicitly labor in this case. Note that this assumption
is too conservative. Labor costs associated with sequencing have
actually fallen as bench top laboratory techniques that once required
a doctorate's worth of experience have been replaced by automated
processes that can be monitored by a technician with only limited
training (see below). The capability of individuals has improved
dramatically over the last 15 years.
The rapid increase in sequencing productivity is the primary reason
that the private effort by Celera was able to sequence the human
genome so quickly. Money was always available to buy many slow machines—this
was, after all, the original plan for the publicly funded genome
project—but coordinating the effort and paying for the labor
to run those machines was prohibitively expensive for a private
project. The advent of new technology provided an opportunity for
a new approach, which Celera seized. Only when sequencing instruments
became sufficiently automated that labor was reduced to loading
samples, whereupon one person could shepherd several machines and
the total task could be completed in an interesting time interval,
was a commercial effort possible. This required highly centralized
sequence production facilities in order to minimize the number of
instruments, given their individual high cost. This infrastructure
is similar to that of microchip fabrication plants, otherwise known
as "chip fabs."
However, because sequencing instruments are much closer to commodities
than are the plasma etchers and vapor deposition systems used in
microchip production, it is not at all obvious that the current
centralized model will be relevant to the future of biological technology.
On the contrary, because there has been to date only limited feedback
between biological discovery and the technology it enables, it seems
more likely that low cost, highly capable instrumentation will be
broadly distributed. Sequencing machines are already widespread
in laboratories and there is clear demand for faster, cheaper instruments.
More significantly, the long term distribution and development
of biological technology is likely to be largely unconstrained by
economic considerations. While Moore's Law is a forecast based on
understandable large capital costs and projected improvements in
existing technologies, which to a great extent determined its remarkably
constant behavior, current progress in biology is exemplified by
successive shifts to new technologies. These technologies share
the common scientific inheritance of molecular biology, but in general
their implementations as tools emerge independently and have independent
scientific and economic impacts. For example, the advent of gene
expression chips spawned a new industrial segment with significant
market value. Recombinant DNA, gel and capillary sequencing, and
monoclonal antibodies have produced similar results. And while the
cost of chip fabs has reached upwards of one billion dollars per
facility and is expected to increase, there is good reason to expect
that the cost of biological manufacturing and sequencing will only
decrease. Indeed, the continuing costs of sequencing (expendables
such as reagents) have fallen exponentially over the time period
covered by Figure 1.5 Lander et al., state in
Nature that by 2000 the total costs of sequencing had fallen
by a factor of 100 in ten years, with costs falling by a factor
of 2 approximately every eighteen months.6 With the caveat
that there are only limited data to date, it does appear that the
total cost of sequencing and synthesis are falling exponentially
(Figure 3).
These trends—successive shifts to new technologies and increased
capability at decreased cost—are likely to continue. In the
fifteen years that commercial sequencers have been available, the
technology has progressed, using the simple metric in Figure 1,
from labor intensive gel slab based instruments, through highly
automated capillary electrophoresis based machines, to the partially
enzymatic Pyrosequencing process. These techniques are based on
chemical analysis of many copies of a given sequence. New technologies
under development are aimed at directly reading one copy at a time
by directly measuring physical properties of molecules, with a goal
of rapidly reading genomes of individual cells. These include efforts
to measure differences in ion currents due to size variations between
bases as DNA is electrophoresed through a small pore,7
and measuring differences in force between complimentary bases as
double stranded DNA is unzipped by pulling it apart with an atomic
force microscope.8 While physically-based sequencing
techniques have historically faced technical difficulties inherent
in working with individual molecules, an expanding variety of measurement
techniques applied to biological systems will likely yield methods
capable of rapid direct sequencing.
FIG. 3. Rough estimates
of the cost of synthesis and raw sequencing per base. Only very
limited data are available. Estimates of synthesis costs are from
John Mulligan, Blue Heron Biotechnology. Historical costs of sequencing
are generally not available in the literature, have not been publicized
by federally funded Genome Centers, and are, in general, surprisingly
hard to come by:44(1) from Lander et al.;6
(2) from Dan Rokhsar, UC Berkeley; (3) approximate current commercial
rate.
ANTICIPATING THE FUTURE OF SYNTHESIS AND SEQUENCING
A rough extrapolation of the curves (as opposed to their tangents)
in Figure 1 suggests that by 2010 a single person will be able to
sequence or synthesize 1010 bases a day. These potential
productivity numbers should be compared to the three billion bases
(3Â X 109) in the human genome. Note that while automation
may make this productivity level technologically feasible, costs
may prohibit reaching it (see Figure 3). Even if actual technological
developments do not sustain current trends, the drive towards automation
and integration will certainly continue, enhancing distribution.
This is the explicit goal of numerous commercial endeavors, particularly
those intent on producing the tantalizing "lab on a chip." Tools
of this kind will be particularly powerful in the context of the
current labor-consuming processes involved in preparing samples
for sequence or expression analysis or in purifying them after synthesis.
The "microdiagnostics" company Cepheid, for example, will soon begin
selling its GeneXpert Platform, which includes technology that spans
sample preparation, purification, and detection of pathogen DNA,
potentially reducing sample analysis from days to minutes.9,10
Scientists, clinicians, first responders, epidemiologists, biological
weapons inspectors, and biological weapons producers will appreciate
these capabilities equally.
While it is still early in the development of such platforms, they
promise to be another important shift in technology, perhaps helping
realize the trends in Figure 1. If those trends are born out, within
a decade a single person at the lab bench could sequence or synthesize
all the DNA describing all the people on the planet many times over
in an eight-hour day, even given profligate human reproduction.
Alternatively, one person could sequence his or her own DNA within
seconds.
Despite the fantastic nature of these numbers, there is no physical
reason why sequencing an individual human genome should take longer
than a few minutes. Sequencing a billion bases in a thousand seconds
would require querying each base for only a microsecond, which is
well within the measurement capability of many physical systems.
Inexpensive disk drives, for example, already read the state of
magnetic domains at upwards of a billion times a second. Although
storage media is an example of a mature technology, it is also an
indication of the sort of interaction that will be possible with
biological systems. Indeed, it seems unwise to assume limits on
potential applications of our newly developing ability to manipulate
and probe matter at the scale of individual molecules. Every week
there are exciting new examples of imaging and manipulation of molecules,
or small objects such as carbon nanotubes, each pushing back previously
imagined limits. Figure 1 illustrates how fast an individual enzyme
can copy DNA, and hybrid techniques utilizing physical measurement
of the activity of individual enzymes may provide extremely rapid
sequencing.11 Yet at some point, despite ever increasing
speed, sequencing capabilities will likely reach an asymptote in
utility— how fast is fast enough?
This raises the question of how much longer effort put into developing
rapid sequencing technology will be a wise investment. The greater
challenge is sensitivity—biology comes in units of single cells,
which is the level we must work at to reprogram biological systems
and deal with many diseases. Cancer is one such disease. Generally
it is not a whole organ or tissue that becomes cancerous, but rather
one cell that breaks loose from its developmental pathway—due
to chance mutations, changes in the environment, or infection—and
runs amok. Similarly, many infections essentially begin with attacks
by individual pathogens on individual cells, even if many simultaneous
such events are necessary to produce full-blown symptoms. This is
of obvious concern for scientists and clinicians interested in novel
pathogens, both natural and artificial. Yet no technology currently
emerging from the bench can sequence the genome of a single cell
without amplification steps that introduce significant errors (though
many academic labs and companies promise this ability soon). Most
current technology, particularly that applied to determining interactions
between proteins, requires a large number of cells and thus produces
data that is an average over the states of those cells. Investigating
the metabolic or proteomic state of cells (without the use of genetic
modification) is similarly often predominantly limited to large
samples.
Regardless of the direction of technological development, the synthesis
and sequencing capabilities available to an individual in the next
decade will be impressive, greatly facilitating the task of manipulating
biological systems. The cost of each instrument should generally
decrease, following the trend of similar commodities, suggesting
that the infrastructure of biological technology will be highly
distributed. One indication of this trend is that the parts for
a DNA synthesizer—mostly plumbing and off-the-shelf electronics—can
now be purchased for approximately $10,000. The assembly effort
and monetary sum are similar to that expended by many car and computer
hobbyists, and both the parts list and design information sufficient
to assemble the synthesizer are available online.12
Despite existing infrastructure that provides for downloading sequences
directly into a synthesizer, possession of a DNA synthesizer does
not a new organism make. Current chemical synthesis produces only
short runs of DNA. Although ingenuity and care are required to assemble
full-length genes, the techniques are already described in the scientific
literature. Moreover, there is significant economic motivation to
make such assembly routine, and multiple companies have been founded
to sort out the relevant manufacturing details and to take advantage
of the growing demand for long synthetic DNA sequences. Many of
these companies provide synthetic DNA via mail based on sequences
submitted over the Web, and not all such companies screen ordered
sequences against sequences of known pathogens and biological toxins.13
Even if great care is taken to limit the commercial synthesis of
DNA from pathogens or toxins, it is unlikely the chemical tricks
and instrumentation that companies develop in the course of building
their businesses will remain confined within their walls. Eventually,
efficient synthesis will be possible using instruments assembled
at home. The diffusion of synthesis capability into the garage will
no doubt be slowed by the fact that some the reagents used in chemical
DNA synthesis are controlled substances. However, history demonstrates
that regulating the synthesis of even complex compounds does not
greatly inhibit illicit production (see below). The requisite techniques
are in fact already highly distributed.
THE PROLIFERATION OF SKILLS AND MATERIALS IS INEVITABLE
Beyond information about writing DNA from scratch, extensive instructions
on standard chemistry and molecular biology techniques are available
on the Web, notably detailed descriptions of PCR (polymerase chain
reaction) and other important DNA manipulation procedures. While
some skills are still highly specialized, basic know-how is permeating
the educational process.14 For several years community
colleges have offered courses of study aimed at providing the biotech
industry with skilled technicians. A case in point: when it was
founded in 1990, the sequencing facility at the Whitehead Institute
Center for Genome Research employed primarily scientists with doctorates.
Over the years these PhD's were gradually replaced by masters degrees,
then bachelors and associates degrees. Now many of the staff have
completed only a six month qualification course at local community
college or are recent Tibetan immigrants who received training in
basic skills at the Institute.15 These technicians are
educated in all the steps necessary to shepherd DNA from incoming
sample to outgoing sequence information, including generating bacteria
containing DNA from other organisms. This point bears repeating:
Creating genetically modified organisms is now the province of immigrants
with little formal education. More sophisticated practical knowledge
is available to many AP Biology students in high school. Pointing
the way into the future, several universities now teach a Molecular
Biology for Engineers class. Exploring the limits of this trend
is a class taught at MIT wherein students ranging from undergraduates
to post-docs design and test new genetic circuits.16
Successful designs will be included in a databook of biological
parts.17
Where design expertise exceeds practical experience, commercially
available kits include recipes that allow moving genes between organisms
by following simple recipes. The process might be slightly more
complicated than baking cookies, but it is for the most part less
complicated than making wine or beer. This broad distribution of
biological technology naturally leads to questions of how it will
be applied. Our society is just beginning discussions about the
role of genetic modifications and the applications of cellular cloning.
More important, perhaps, is the debate over regulation of research
and who will be permitted access to which biological technologies.
But it is unlikely that regulation of materiel or skills will produce
an increase in public safety. The industrial demand alone for skilled
biotechnology workers has increased 14Â17% per year for the last
decade, and many of these workers come from overseas.18
Not all these workers will remain in this country, and it is safe
to say many of those who leave will make use of their skills elsewhere.
If we decide to try to limit the practice of certain methods, it
will be unrealistic to try to centrally monitor every skilled person
in this or any other country. We certainly cannot simply "unteach"
the relevant skills to prevent unauthorized use, and any action
to limit the proliferation of skills would cripple that portion
of the U.S. economy reliant upon biological technologies.
Perhaps more problematic than distributed skills will be ubiquitous
materials. The widespread distillation of alcohol during the Prohibition
period in the U.S. and the proliferation of modern illegal drug
synthesis labs both illustrate the principle that outlawing chemical
products merely leads to black markets more difficult to observe
and regulate than open markets.
Effective regulation relies on effective enforcement, which in
turn requires effective detection. The extent of illegal drug production
in the United States and previous failures to detect illicit biological
weapons production gives some indication of the relevant challenges
of detection and enforcement. Approximately 8,000 clandestine drug
laboratories were seized in the U.S. in 2001, with the vast majority
of those being "Mom and Pop" operations producing less than five
kilograms per day.19 Yet despite the large number of
seizures (which has on average remained constant for the last decade)
illegal drug use is apparently still rising.20 This failure
of enforcement, and the detection failure demonstrated when Western
intelligence services failed to uncover the existence of extensive
bioweapons programs in the former Soviet Union and Iraq,21
provide explicit challenges to the notion that the risks posed by
mistakes or mischief resulting from biological technologies can
be mitigated through regulation.
Given the potential power of biological technologies, it is worth
considering whether open markets are more, or less, desirable than
the inevitable black markets that would emerge with regulation.
Those black markets would be, by definition, beyond regulation.
More importantly, in this case, they would be opaque.
The real threat from distributed biological technologies lies neither
in their development nor use, per se, but rather that biological
systems may be the subject of accidental or intentional modification
without the knowledge of those who might be harmed. Because this
may include significant human, animal, or plant populations, it
behooves us to maximize our knowledge about what sort of experimentation
is taking place around the world. Unfortunately (though understandably),
the first response to incidents such as the anthrax attacks in the
fall of 2001 is to attempt to improve public safety through means
that paradoxically often limit our capabilities to gather such information.22
THE FALSE PROMISE OF REGULATION
Some view as an immediate threat the proliferation of technologies
useful in manipulating biological systems: Passionate arguments
are being made that research should be slowed and that some research
should be avoided altogether. "Letting the genie out of the bottle"
is a ubiquitous concern, one that has been loudly voiced in other
fields over the years and is meant to set off alarm bells about
biological research.
A favorite rhetorical device in this discussion is the comparison
of nuclear technologies with biological technologies. Success in
limiting the development and spread of nuclear technologies is taken
to mean similar feats are possible with biological technologies.
But this sort of argument fails to consider the logistical, let
alone ethical, differences between embargoing raw fissionable materials
used in nuclear or radiological weapons and embargoing biological
technology or even biology itself.
Regulation of the development of nuclear weapons has been successful
only because access to raw fissionable materials has, fortunately,
been relatively easy to restrict. However, both the knowledge and
tools necessary to construct rudimentary weapons have for decades
been highly distributed. It is arguable that, with some effort,
construction of a rudimentary nuclear device is within the capabilities
of most physics and engineering college graduates who have access
to a basic machine shop. Building nuclear devices is thus theoretically
quite feasible but physically difficult, even for the knowledgeable,
because the raw materials are simply not available. Yet the raw
stuff of biology has always been readily at hand, and our schools
and industries are now equipping students with the skills to manipulate
biological systems through powerful and distributed technology.
Because skills are already widespread and will only become more
so, altering and reverse engineering biological systems will become
both easier and more common. Regulation can do little to alter this
trend.
If strict regulation held promise of real protection, it would
be well worth considering. But regulation is inherently leaky, and
it is more often a form of management than blanket prohibition.
Certainly no category of crime has ever been eliminated through
legal prohibition. In this light, we must ask how many infringements
of potential regulation of biological technologies we are willing
to risk. Further, will the threat of sanctions such as imprisonment
ever be enough to dissuade infringement? Given the potential damage
wrought by misuses of the technology, we may never be satisfied
that such sanctions would constitute a repayment of debt to society,
the fundamental tenet of our criminal justice system. The damages
may always exceed any punishment meted out to those deemed criminal.
These considerations come down to how we choose to balance the risks
and consequences of infringement against whatever safety may be
found in regulation and attempts at enforcement. More important
than this tenuous safety, however, is the potential danger of enforced
ignorance. In the end, we must decide not whether we are willing
to risk damages caused by biological technology, but whether limiting
the general direction of biological research in the coming years
will enable us to deal with the outcome of mischief or mistake.
We must decide if we are willing to take the risk of being unprepared.
There are currently calls to limit research in the United States
on the basic biology of many pathogens to preempt their use as bioweapons,22
and the possession and transport of many pathogens was legislated
into criminality by the Patriot Act.23 The main difficulty
with this approach is not that it assumes the basic biology of pathogens
is static—which because of either natural variation or human
intervention it is not—but rather that it assumes we have already
catalogued all possible natural pathogens, that we already know
how to detect and defeat known and unknown pathogens, and that rogue
<a href="javascript:loadBrain('Element')" onMouseOver="playBrain('Element')" onMouseOut="stopBrain()" class="thought">element</a>s will not be able to learn how to manipulate pathogens and
toxins on their own. These assumptions are demonstrably false. Pathogens
ranging from HIV to <i>M. tuberculosis </i>to <i>P. falciparum </i>(which
causes malaria) have successfully evolved to escape formerly effective
treatments. New human pathogens are constantly emerging, which as
in the case of SARS might be identified quickly but require much
longer to develop treatments against. In the last century <a href="javascript:loadBrain('Government')" onMouseOver="playBrain('Government')" onMouseOut="stopBrain()" class="thought">government</a>s
and independent organizations alike have developed and used biological
weapons. Restricting our own research will merely leave us less
prepared for the inevitable emergence of new natural and artificial
biological threats. Moreover, it is naive to think we can successfully
limit access to existing pertinent information within our current
economic and political framework. </p>
<p>As is clear from recent efforts to limit peer-to-peer file sharing
on the <a href="javascript:loadBrain('Internet')" onMouseOver="playBrain('Internet')" onMouseOut="stopBrain()" class="thought">Internet</a>, in today's environment strict prohibition of information
flow can only be achieved by quarantine—unplugging wires and
blocking <a href="javascript:loadBrain('Wireless')" onMouseOver="playBrain('Wireless')" onMouseOut="stopBrain()" class="thought">wireless</a> transmission. Thwarted by the difficulty of such
endeavors, <a href="javascript:loadBrain('Music')" onMouseOver="playBrain('Music')" onMouseOut="stopBrain()" class="thought">music</a> conglomerates have resorted to flooding file <a href="javascript:loadBrain('Server')" onMouseOver="playBrain('Server')" onMouseOut="stopBrain()" class="thought">server</a>s
with corrupted files (camouflage),<sup>24</sup> and requesting the
legal authority to engage in preemptive cracking of file trader's
computers (sabotage).<sup>25</sup> </p>
<p>Neither strategy is likely to be a long term solution of controlling
information for the music industry, and similar efforts to regulate
biological technologies are bound to be more difficult still. Attempting
to maintain control of information and instrumentation will be a
futile task in light of the increasingly sophisticated biological
technologies blossoming around the world. </p>
<p>While the most advanced research and instrumentation developments
may occur first in fully industrialized countries such as the US,
where <a href="javascript:loadBrain('Export')" onMouseOver="playBrain('Export')" onMouseOut="stopBrain()" class="thought">export</a> might be controlled, other countries are developing
a skill base that will enable broad domestic utilization of biological
technologies. China has an aggressive program in plant biotechnology,
and as of 2002 plans to increase funding 400% by 2005.<sup>26</sup>
This energetic investment also exists in the Chinese private sector,
and the national scientific establishment is attempting to lure
foreign trained scientists to return with lucrative financial packages.<sup>27</sup>
India is in the process of tripling funding to its national biotech
center,<sup>28</sup> and is promoting the development and use of
genetically modified crops throughout Asia.<sup>29</sup> Singapore
has for many years made a practice of recruiting foreign scientists.<sup>30</sup>
Taiwan is investing large amounts in biotechnology<sup>31</sup>
and is seeking citizens to return home to build up biotechnology
in academia and industry.<sup>32</sup> A Brazilian coalition recently
demonstrated sophisticated domestic use of biological technologies
by successfully sequencing the plant pathogen <i>X. fastidiosa </i>in
2000.<sup>33</sup> </p>
<p>Given these developments in the context of the increase in individual
capabilities and the independent <a href="javascript:loadBrain('Reduction')" onMouseOver="playBrain('Reduction')" onMouseOut="stopBrain()" class="thought">reduction</a> in cost, it is unrealistic
to think biological technologies can be isolated within the borders
of officially sanctioned countries. Even if such a regime were implemented,
it would merely include those countries that already have a particular
technology. We can do little to take technology away from those
in whose hands it was developed and resides. The best strategy going
forward is in fact to encourage such efforts at all levels in an
open environment.</p>
<h2><b>WHAT SHOULD (AND SHOULD NOT) BE DONE </b></h2>
<p>If regulation is not merely an ineffective option but will actually
be an impediment to security, how can we attempt to mitigate coming
risks? The goal is clearly to counter both mistakes in the laboratory
and weapons created from biological <a href="javascript:loadBrain('Component')" onMouseOver="playBrain('Component')" onMouseOut="stopBrain()" class="thought">component</a>s and, ideally, to
make such threats irrelevant before they become a problem. </p>
<p>It may be many decades before our understanding of biology provides
for the requisite rapid detection, analysis, and response. Fortunately,
it is also probably true that we have some time to prepare before
both technology and skills become truly pervasive. In the meantime,
we can lay the groundwork for an increase in security with dramatically
improved <a href="javascript:loadBrain('Communication')" onMouseOver="playBrain('Communication')" onMouseOut="stopBrain()" class="thought">communication</a> and focused technology development. </p>
<p>We should focus on three challenges: </p>
<p>1) We should resist the impulse to restrict research and the flow
of information. Ignorance will help no one in the <a href="javascript:loadBrain('Event')" onMouseOver="playBrain('Event')" onMouseOut="stopBrain()" class="thought">event</a> of an emergent
threat and, given the pace and proliferation of biological technologies,
the likelihood of threats will increase in coming years. Among the
greatest threats we face is that potentially detrimental work will
proceed while we sit on our hands. If we are not ourselves pushing
the boundaries of what is known about how pathogens work or ways
to manipulate them, we are by definition at a disadvantage. Put
simply, it will be much easier to keep track of what is in the wind
if we don't have our heads in the sand. </p>
<p>2) The best way to keep apprised of the activities of both amateurs
and professionals is to establish open networks of researchers,
perhaps modeled on the <a href="javascript:loadBrain('Open Source')" onMouseOver="playBrain('Open Source')" onMouseOut="stopBrain()" class="thought">Open Source</a> <a href="javascript:loadBrain('Software')" onMouseOver="playBrain('Software')" onMouseOut="stopBrain()" class="thought">Software</a> (OSS) movement, and
potentially sponsored by the government during their <a href="javascript:loadBrain('Embryo')" onMouseOver="playBrain('Embryo')" onMouseOut="stopBrain()" class="thought">embryo</a>nic phases.
The Open Source development community thrives on constant communication
and plentiful free advice. This behavior is common practice for
professional biology <a href="javascript:loadBrain('Hacker')" onMouseOver="playBrain('Hacker')" onMouseOut="stopBrain()" class="thought">hacker</a>s, and it is already evident on the Web
amongst amateur biology hackers.<sup>14</sup> This represents an
opportunity to keep apprised of current research in a distributed
fashion. Anyone trying something new will require advice from peers
and may advertise at least some portion of the results of their
work. As is evident from the ready criticism leveled at miscreants
in online forums frequented by software developers (<a href="javascript:loadBrain('Slashdot')" onMouseOver="playBrain('Slashdot')" onMouseOut="stopBrain()" class="thought">Slashdot</a>, Kuro5hin,
etc.), people are not afraid to speak out when they feel the work
of a particular person or group is substandard or threatens the
public good. Thus our best potential defense against biological
threats is to create and maintain open networks of researchers at
every level, thereby magnifying the number of eyes and ears keeping
track of what is going on in the world. </p>
<p>3) Because human intelligence gathering is, alas, demonstrably
inadequate for the task at hand, we should develop technology that
enables pervasive environmental monitoring. The best way to detect
biological threats is using biology itself, in the form of genetically
modified organisms. Unlike the production and deployment of chemical
weapons or fissile materials, which can often be monitored with
remote sensing technologies such as aerial and satellite reconnaissance,
the initial indication of biological threats may be only a few cells
or molecules. This small quantity may already be a lethal dose and
can be very hard to detect using physical means. Alternatively,
"surveillance bugs" distributed in the environment could transduce
small amounts of cells or molecules into signals measurable by remote
sensing. The organisms might be modified to reproduce in the presence
of certain signals, to change their schooling or flocking behavior,
or to alter their physical appearance. Candidate "detector platforms"
span the range of bacteria, <a href="javascript:loadBrain('Insect')" onMouseOver="playBrain('Insect')" onMouseOut="stopBrain()" class="thought">insect</a>s, plants, and animals. Transgenic
zebrafish<sup>34</sup> and nematodes<sup>35</sup> have already been
produced for this purpose, and there is some progress in producing
a generalized system for detecting arbitrary molecules using signal
transduction pathways in bacteria.<sup>36</sup> </p>
<p>None of these recommended goals will be trivial to accomplish.
Considerable sums have already been spent over the last five decades
to understand biological systems at the molecular level, much of
this in the name of defeating infectious disease. While this effort
has produced considerable advances in diagnosing and treating disease,
we should now redouble our efforts. We have entered an era when
the ability to modify biological systems is becoming widespread
in the absence of an attendant ability to remediate potential mistakes
or mischief. Maintaining safety and security in this context will
require concerted effort, and an immediate, focused governmental
R&D investment would be a good start. Although "<a href="javascript:loadBrain('Bug')" onMouseOver="playBrain('Bug')" onMouseOut="stopBrain()" class="thought">bug</a> to drug
in twenty four hours" sounds much flashier than "bug to drug in
six to eight weeks," the latter is the more realistic timeline to
shoot for—even if it is a decade or more away—and this
goal may serve as an organizational focus for an endeavor organized
and sponsored by the government. </p>
<p>Previous governmental efforts to rapidly develop technology, such
as the Manhattan and Apollo Projects, were predominantly closed,
arguably with good reason at the time. But we live in a different
era and should consider an open effort that takes advantage of preexisting
research and development networks. This strategy may result in more
robust, sustainable, distributed security and economic benefits.<sup>14,37</sup>
Note also that though both were closed and centrally coordinated,
the Manhattan and Apollo Projects were very different in structure.
The Apollo Project took place in the public eye, with failures plainly
writ in smoke and debris in the sky. The Manhattan Project, on the
other hand, took place behind barbed wire and was so secret that
very few people within the US government and <a href="javascript:loadBrain('Military')" onMouseOver="playBrain('Military')" onMouseOut="stopBrain()" class="thought">military</a> knew of its
existence. This is not the ideal model for research that is explicitly
aimed at understanding how to modify biological systems. Above all
else, let us insist that this work happens in the light, subject
to the scrutiny of all who choose to examine it. </p>
<p>The only way we will be able to keep track of the fruits of biological
technologies, regardless of merit, is a combination of ubiquitous
measurement and networks of people. For several decades, the Soviet
Union employed tens of thousands of people in research, testing,
and production of biological weapons.<sup>38</sup> During that time,
the USSR was the primary focus of intelligence agencies in the West,
and, despite the size of the Soviet bioweapons project, none of
those agencies was able to provide conclusive evidence of the project's
existence. The extent of biological weapons development and deployment
in Iraq during the early 1990's was also an unpleasant surprise.<sup>39</sup>
A more integrated worldwide community of professionals and amateurs
might provide earlier and more accurate warning of such developments.
</p>
<p>Beyond their innate intelligence gathering capability, open and
distributed networks of researchers would provide a flexible and
robust workforce for developing technology. This resource could
be employed in rapid reaction to emerging threats and in the development
of a response that might include assembling novel compounds or organisms.
The rudiments of such a system were demonstrated during the recent
SARS outbreak, but much more is required.<sup>40</sup> One lesson
from the OSS community is that even distributed technology development
that starts at the grass roots level eventually requires some centralized
leadership and coordination.<sup>41</sup> This is often provided
by a strong-willed individual, though increasingly independent foundations
are formed to coordinate work, gather and distribute funds, and
disseminate results.<sup>42</sup> </p>
<p>Some may consider several decades of experience with open source
software insufficient as an organizational model to serve as a basis
for a response to biological threats. The best model may in fact
be found in the history of biology itself. In order to bring the
focus of an Apollo Project to the task at hand, the traditions of
open discourse amongst academics and the sharing of reagents and
biological stocks might be strengthened and adapted. Hoarding of
results or materials should be strongly discouraged, and in fact
sharing information and stocks should be required. It may be prudent
to write down these guidelines in documents with legal standing,
if only to give added weight to peer pressure. To be sure, this
might be viewed as a form of self-regulation, but it would be in
the context of open markets rather than black markets emerging under
regulation from above. These agreements might be structured so that
voluntary participation would provide ready access to information
or reagents otherwise difficult to procure, thereby encouraging
participation but not outlawing the activities of those who choose
to remain independent. New or existing foundations might take these
agreements in hand to provide coordination analogous to that cropping
up in the OSS community. There is already some structure of this
sort extant in the biological community, with organizations such
as the American Cancer Society, the Wellcome Trust, the Bill and
Melinda Gates Foundation, amongst many others, providing funding
for meetings, journals, physical infrastructure, and particular
directions of research. </p>
<p>Finally, the best argument for encouraging the adoption of Open
Source organizational principles in amateur, academic, and industrial
contexts is that the resulting technology may be considerably more
robust and bug free.<sup>43</sup> This goal is nowhere more important
than in the burgeoning enterprise of manipulating <a href="javascript:loadBrain('Life')" onMouseOver="playBrain('Life')" onMouseOut="stopBrain()" class="thought">life</a> at the genetic
level. Creating international networks that coordinate an Open Source
Biology may be the most important step we can take to improve our
security in the coming decades. </p>
<h2><b>CONCLUSION </b></h2>
<p>Our ability to manipulate biological systems is rapidly improving
and this naturally raises concerns both about how relevant technology
will be applied and about potential consequent dangers. The straightforward
answer is that those dangers are real and considerable. We may view
this as a threat or an opportunity. The common response to a perceived
threat is to reduce the likelihood of it coming to fruition, an
effort that often takes the form of regulation. However, the argument
for strict regulation of biological technologies is misleading and
therefore dangerous. Fear of potential hazards should be met with
increased research and education rather than closing the door on
the profound positive impacts of biological technology. </p>
<p>We could err disastrously in the short term by restricting the
development of science and technology, thereby stunting our ability
to respond to natural or artificial threats. Restriction of research
could leave us woefully unprepared to deal with mistakes or mischief.
I am not suggesting that all regulation is without merit, but rather
that rules and restrictions will not eliminate problems; they never
have. Given the power of biological technologies, the only way to
ensure safety in the long run is to push research and development
as fast as possible. </p>
<p>We should maintain an open environment as possible and make sure
that we move rapidly beyond the point where we can alter systems
without the ability to understand them or learn to fix them. Improving
such capabilities will also aid in diagnosing and treating rapidly
emerging natural pathogens. The existing technology lag between
our ability to manipulate and our ability to detect, understand,
and remediate must be eliminated with all haste. Regulation or proscription
of either science or technology is unlikely to ease the way forward.
In the dark we cannot see the road ahead, navigate, or avoid collisions
with either natural or artificial hazards. </p>
<p>Regardless of the outcome of the debate explored above, the stage
is set for remarkable change. We have clearly entered a period in
which our understanding of biological systems is itself producing
new biologically based technologies. These in turn lead to new insight
and new technologies, further enhancing our ability to understand
and manipulate biological systems. The demand for more capable technology
is both broad and deep suggesting that, as the trend to increasingly
sophisticated yet less expensive instrumentation continues, biological
technology will become ever more commoditized. The resulting wide
distribution will further accelerate discovery and <a href="javascript:loadBrain('Invention')" onMouseOver="playBrain('Invention')" onMouseOut="stopBrain()" class="thought">invention</a>.</p>
<p><b>ACKNOWLEDGMENTS </b></p>
<p>The author wishes to thank Drew Endy, Roger Brent, <a href="javascript:loadBrain('Brand, Stewart')" onMouseOver="playBrain('Brand, Stewart')" onMouseOut="stopBrain()" class="thought">Stewart Brand</a>,
Freeman Dyson, Sydney Brenner, Rik Wehbring, Brad Smith, and Sarah
Keller for <a href="javascript:loadBrain('Thought')" onMouseOver="playBrain('Thought')" onMouseOut="stopBrain()" class="thought">thought</a>ful <a href="javascript:loadBrain('Conversation')" onMouseOver="playBrain('Conversation')" onMouseOut="stopBrain()" class="thought">conversation</a>s, and Richard Yu, Robert Waterston,
Dan Rokhsar, Mostafa Ronaghi, Glen Evans, and John Mulligan for
estimates of cost and/or productivity. </p>
<p>__________________________________________________________</p>
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<p><sup>6</sup>Lander ES, et al., Initial sequencing and analysis
of the human genome. <i>Nature </i>2001. 409(6822): p. 860Â921.
</p>
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</p>
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29(4Â5): p. 249. </p>
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DNA using Cepheid SmartCycler and Tube Lysis System. <i>Clinical
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Automated Sample Preparation for Pathogen Detection Performed in
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from single DNA molecules. <i>Proc Natl Acad Sci U S A </i>2003.
100(7): p. 3960Â4. </p>
<p><sup>12</sup>http://innovation.swmed.edu/Instrumentation/mermade_
<a href="http://innovation.swmed.edu/Instrumentation/mermade_oligonucleotide_synthesi.htm" target="_blank">oligonucleotide_synthesi.htm</a>.
</p>
<p><sup>13</sup>John Mulligan, Personal Communication.</p>
<p><sup>14</sup>Carlson R. Open-Source Biology And Its Impact on Industry.
<i>IEEE Spectrum </i>2001. </p>
<p><sup>15</sup>Carrie Sougnez, Personal Communication. </p>
<p><sup>16</sup>See <a href="http://student.mit.edu/searchiap/iap-4968.html" target="_blank">http://student.mit.edu/searchiap/iap-4968.html</a>
and <a href="http://web.mit.edu/synbio/www/iap/" target="_blank">http://
web.mit.edu/synbio/www/iap/</a>. </p>
<p><sup>17</sup>See <a href="http://biobricks.ai.mit.edu/" target="_blank">http://biobricks.ai.mit.edu/</a>.
</p>
<p><sup>18</sup>Sevier ED, Dahms AS. The role of foreign worker scientists
in the US biotechnology industry. <i>Nat Biotechnol </i>2002. 20(9):
p. 955Â6. </p>
<p><sup>19</sup><a href="http://www.dea.gov/concern/drug_trafficking.html" target="_blank">http://www.dea.gov/concern/drug_trafficking.html</a>.
</p>
<p><sup>20</sup><a href="http://www.dea.gov/statistics.html" target="_blank">http://www.dea.gov/statistics.html</a>.
</p>
<p><sup>21</sup>Pearson GS. How to make microbes safer. <i>Nature
</i>1998. 394(6690): p. 217Â8. </p>
<p><sup>22</sup>Knight J. Biodefence boost leaves experts worried
over laboratory safety. <i>Nature </i>2002. 415(6873): p. 719Â20.
</p>
<p><sup>23</sup>Check E. Law sends laboratories into pathogen panic.
<i>Nature </i>2003. 421(6918): p. 4.</p>
<p><sup>24</sup>Chmielewski DC. Music industry swamps swap networks
with phony files, in <i>Mercury News </i>2002: San Jose. </p>
<p><sup>25</sup>Bridis T. Senator favors really punishing music thieves,
in <i>Tribune </i>2003: Chicago. </p>
<p><sup>26</sup>Huang J, et al. Plant Biotechnology in China. <i>Science</i>,
2002. 295: p. 674Â678. </p>
<p><sup>27</sup>Breithaupt H. <i>China's leap forward in </i>biotechnology.
<i>EMBO Rep</i>, 2003. 4(2): p. 111Â3.</p>
<p><sup>28</sup>Taylhardat AR, Falaschi A. Funding assured for India's
international biotechnology centre. <i>Nature </i>2001. 409(6818):
p. 281.</p>
<p><sup>29</sup>Jayaraman KS. India promotes GMOs in Asia. <i>Nat</i><i>Biotechnol
</i>2002. 20(7): p. 641Â2. </p>
<p><sup>30</sup>Singapore attracts foreign talent. <i>Nature </i>1998.
394: p. 604. </p>
<p><sup>31</sup>Swinbanks D, Cyranoski D. Taiwan backs experience
in quest for biotech success. <i>Nature</i>, 2000. 407(6802): p.
417Â26. </p>
<p><sup>32</sup>Cyranoski D. Taiwan: Biotech vision. <i>Nature </i>2003.
421: p. 672Â673. </p>
<p><sup>33</sup>Simpson AJ, et al. The genome sequence of the plant
pathogen Xylella fastidiosa. The Xylella fastidiosa Consortium of
the Organization for <a href="javascript:loadBrain('Nucleotide')" onMouseOver="playBrain('Nucleotide')" onMouseOut="stopBrain()" class="thought">Nucleotide</a> Sequencing and Analysis. <i>Nature
</i>2000. 406(6792): p. 151Â7.</p>
<p><sup>34</sup>Amanuma K, et al. Transgenic zebrafish for detecting
mutations caused by compounds in aquatic environments. <i>Nat Biotechnol
</i>2000. 18(1): p. 62Â5. </p>
<p><sup>35</sup>David HE, et al. Construction and evaluation of a
transgenic hsp16-GFP-lacZ Caenorhabditis elegans strain for environmental
monitoring. <i>Environ Toxicol Chem </i>2003. 22(1): p. 111Â8. </p>
<p><sup>36</sup>Looger LL, et al. Computational design of receptor
and sensor proteins with novel functions. <i>Nature </i>2003. 423(6936):
p. 185Â90.</p>
<p><sup>37</sup>R. Carlson and R. Brent, Letter to <a href="javascript:loadBrain('Defence Advanced Research Projects Agency (DARPA)')" onMouseOver="playBrain('Defence Advanced Research Projects Agency (DARPA)')" onMouseOut="stopBrain()" class="thought">DARPA</a> on Open Source
Biology, October 2000, <a href="http://www.molsci.org/%7Ercarlson/DARPA_OSB_Letter.html" target="_blank">http://www.molsci.org/~rcarlson/DARPA_OSB_Letter.html</a>.</p>
<p><sup>38</sup>Alibek K, Handelman S. <i>Biohazard: the chilling
true story of the largest covert biological weapons program in the
world, told from the inside by the man who ran it</i>. 1st ed. 1999,
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<p><sup>39</sup>Seelos <a href="javascript:loadBrain('C')" onMouseOver="playBrain('C')" onMouseOut="stopBrain()" class="thought">C</a>. Lessons from Iraq on bioweapons. <i>Nature
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<p><sup>41</sup>For a very readable introduction to the structure
of the Open Source community see <a href="http://www.theinquirer.net/?article10114" target="_blank">http://www.theinquirer.net/?article10114</a>
and <a href="http://www.theinquirer.net/?article10222" target="_blank">http://www.theinquirer.net/?article10222</a>.
</p>
<p><sup>42</sup>For example, <a href="http://www.mozilla.org/foundation/" target="_blank">http://www.mozillafoundation.org/</a>.
</p>
<p><sup>43</sup>Ball P. Openness makes software better sooner. <i>Nature
Science Update </i>June 25, 2003, <a href="http://www.nature.com/nsu/030623/030623-6.html" target="_blank">http://www.nature.com/nsu/030623/030623-6.html</a>.
</p>
<p><sup>44</sup>Robert Waterston, Personal Communication. </p>
<p>__________________________________________________________</p>
<p>Address reprint requests to: <br>
<p><i>Robert Carlson Department of Electrical Engineering University
of Washington Seattle, WA 98195 </i><br>
<p><i>E-mail: </i>rcarlson@molsci.org</p>
<p><i>© 2003 <a href="http://www.liebertpub.com/" target="_blank">Mary
Ann Liebert, Inc</a>. Reprinted with permission.</i></p>
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<td bgcolor=#CCCCCC><p>DNA home replicators & the pace of change<br><span class="mindxheader"><i>posted on 03/05/2006 1:17 PM by <a href="/mindx/profile.php?id=471">eldras</a></i></span></td>
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<td bgcolor=#DDDDDD colspan="4"><p>Brilliant article.
<br>
<br>
Really uplifting to read.
<br>
<br>
I wonder about the warning of einstein that or technology runs ahead of our wisdom to use it.
<br>
<br>
He was commenting in the wake of the halocaust.
<br>
<br>
it seems to me the pace has accelerated lately, and visions i was dicussing with my friends in london just 5 years ago and they then thought preposterous, are actually realities already, and chat shows like British television's 'the next big thing' not only discusses nanotechnology and AI techniques, but demonstrates examples now built as a matter of course.
<br>
<br>
The radio is flodded with talk shows om new science and inventor scsintists have become celebrities as much as in Faraday's or Edison's era.
<br>
<br>
<br>
THE NEXT WAVE
<br>
<br>
- high wealth individuals will be able to buy life extension and body/brain/intelligence enhancement that is internal alteratin based.
<br>
<br>
Presently Americans are famous for having great teeth and somehow not aging despite low lycopine in their skins.
<br>
<br>
It is of course surgery and chemicals etc and has all been bought.
<br>
<br>
<br>
the first big wave of hyuman's effecting their own living evolution will be by people who can afford it.
<br>
<br>
We debated this 15 years ago here and two groups veered:
<br>
<br>
Those who thought being rich would give yoyu a great advantage;
<br>
<br>
Those who thought big change would happen very fast when it came and money would be no advantage.
<br>
<br>
<br>
It must stike you with horror that you age.
<br>
<br>
That you can do everything right and still wrinkle, sag and slow?
<br>
<br>
but within a short time it would be good to have a medical booth..a sort of regeneration chamber where the individual atoms of your body are realigned using non-invasive techniques such as ultra-sound.
<br>
<br>
If self-consciousness is the ability of a system to accurately model itself and understand it's make up, the we are becoming much more self-conscsious by understanding how our bodies and minds work.
<br>
<br>
The biggest anti-aging stuff I've ever experienced was the famous lef.org mix and also 5 grammes daily vitamin C.
<br>
<br>
I used to store samples of my DNA (and also anyone else's DNA I wanted to revive copies of usually girl-friends who'd ditched me when I said I wanted to be a philosopher), but I understood that with DNA synthesisers, then only a dream...it would be possible to build any human being body you wanted.
<br>
<br>
<br>
dop you know if there's a FAST way of growing a cloned human?
<br>
<br>
I heard of a technique that took just 16 weeks to maturity but cant trace it?
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<br>
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