Is specific technological progress predictable?
- If technological change is not deterministic, then it
isn't going to be predictable.
- it doesn't follow a predetermined path--instead
technologies are shaped by the wants and needs of
society
- its impact on society is also
unpredictable--different societies can decide to use the
same technologies in different ways
- The most important inventions often aren't at first
recognized as invention--people need time to decide how
they want to use them
- consumer response matters as much as invention
- It is worth thinking more carefully about prediction
because we are going to have to try to do it (eg. business
forecasts) even if it is theoretically impossible to
always be right.
If predicting future technology is a mess, how do we say
anything useful about it?
- we need to both for business and to head off
problems early
First divide it into smaller issues, different kinds of
predictions:
prediction
|
inventor, utopian
writer
|
fundamentally new
devices
|
long term
|
forecasting
|
engineers,
entrepreneurs
|
improvements on
existing technology
|
less than 10 years
|
projection
|
designers, marketers
|
new
models
|
less than 3 years
|
Nye p. 34
Predictions are stories even if they aren't published as
science fiction stories (another example of seeing technology
as narrative to understand how we relate to technology)
- The goal is to persuade people to believe the
forecasts and take some action (eg. buy my product)
- a prediction (or forecast) can be a self-fulfilling
prophecy--convince people that something is going to
happen and it will
- testing whether there will be support for a new
product
- Are people yet convinced enough about the
predictions of global warming to take some action? (eg.
pass laws to limit carbon dioxide emissions)
- can fundamentally new technologies ever be
anticipated?
- technology push--new technologies that no one
expected
- demand pull--new technology that meets a clear need
The problem of weather forecasting: it is easy to predict
that a trend will continue, harder to predict new directions
- In the 1970s a Harvard professor predicted the
weather more accurately than the weather bureau simply by
predicting each day that the weather would be the same as
the day before. The chart to the right is from a
2015 book, at which point persistence was no longer better
than the commercial forecast
- Problem is, when things follow a trend that isn't
very interesting--what is useful but much harder to do is
predicting when the trend will change
- hardest is when a radically new way of using a
technology comes along, such as the radical shift to the
personal computer
- people in big companies often miss new possibilities,
it is outsiders who come up with something really new
it is fairly easy to predict that someone
will continue to follow a trend
it is harder to predict when the trend will
change
Bad
predictions cost us in wasted investment and careers. If
we look at the pattern of bad predictions we can perhaps see
how to do better. (source: Herb Brody,
"Great Expectations: Why Technological Predictions Go Awry"
Albert H. Teich,
Technology and the Future, sixth
edition (New York: St. Martin's Press, 1993).)
- The people who are hoping to profit from a
new technology often make the most misleading
predictions. They necessarily want to promote what
they are doing, but repeatedly claiming a breakthrough
when the problems of commercialization are not yet solved
is probably harmful even for them in the long run.
Eg. high-temperature superconductors, nuclear fusion.
- Even if the technology works (eg. robots)
people may not want to buy it. Who do you ask--the
vendors? Obviously biassed. But consumers,
even businesses buying factory equipment, may be biased
too because they don't realize how attitudes towards the
technology will shift (eg. fax machine).
- it also depends on how you use the
technology--why would we need more powerful laptops?
We may not be doing anything very complex but games and
applications require more and more memory and processing
speed
- can existing technologies improve to
compete with new technologies?--for a while film companies
tried to improve film to compete with digital cameras
- a successful example is the continuing
interest in vinyl records and vacuum tube amplifiers.
- consumers are unwilling to spend money on
small improvements, particularly if they seem
inconvenient. You also need the whole system, VHS
and DVD players didn't cat on until there were stores to
rent videotapes or videodisks, and now those stores are
almost gone and the demand is for home internet service
fast enough to support streaming
- truly innovative technologies often take
10 to 25 years to enter widespread use. Brody's 1991 list of popular predictions:
- neural-network computers (still in
development)
- shirt-pocket telephones (cellphones)
- hypermedia (world wide web)
- computer-generated virtual realities (in
early commercial use)
- intelligent
highway systems (replaced by self-driving cars,
which are getting close to commercial use)
Other predictions:
In 1945 it would have been very hard to predict
what the computer would become, but now we can see trends
(even if we don't know what new technology will enable that
trend to continue):
- increasing ease of use
- hardware becomes smaller, cheaper, and
more capable (Moore's
Law : the number of transistors that can be fit on a
chip doubles every 18 months, with the result that the
speed of computers doubles or the price drops by
half (Moore's
Law Illustrated) .)
- semiconductors
- integrated circuits
- new forms of memory storage
- how far can this trend go? computer
scientists say at least another 20 or 30 years
- do our devices get cheaper or more
capable (even if we don't more bells and whistles)
- development of new ways for computers to
handle information
- interconnection
- ARPANET
- the internet connects universities
- wide public access to the internet
- integration of telephone, television,
and internet (sometimes called telematics)
- but TV manufacturers seem to be going
to avoid being replaced by computers by building
bigger and bigger TVs
- network of smart devices
Consider how each of these trends impacts
society. Is it a continuous process, or are there
breakpoints where the impact changes?
Integration of telephone, television and
internet is one of those things that has been predicted as
just around the corner for a long time.
- 1970 Tama New Town (Japan)
experiment--this was a new development of apartment
buildings outside of Tokyo which was provided with
facsimile mail, interactive computer classrooms, community
produced programming
- 1972 HBO is the first extra-charge cable
channel
- 1976 CeeFax
--a British system to make information available via
television
- 1977 Qube ,
experimental 2-way interactive cable television installed
in 30,000 homes in Columbus, Ohio. Eventually the
project was declared a failure and shut down in 1983.
- 1987 Minitel
(France)--eliminate the phone book and give everyone a
terminal. Goal--to made the public more comfortable
with computers. To the surprise of the government
telephone company it was quickly used mostly for
chat.
- 1979 Prestel
(England)--data base maintained by the post office and
available via phone lines, anyone could enter data for a
fee. It became an internet service provider
and then closed.
- these experiments imagined that one of the
key reasons to integrate would be to have more people able
to develop tv programming and to provide two way TV
- YouTube is where everyone can provide
content; is that to some extent replacing TV?
- interactive television is one of those technologies that doesn't yet
have its killer app (the application of a technology that
convinces people to buy it)
What might computers do for us in the
future? Would you want to:
from www.borg.com
Some feasible technologies
don't catch on:
picture phone at 1964
World's Fair
- in the 1960s and 1970s AT&T (which then had a
telephone monopoly in the U.S.) thought that picture
telephones would be the next big thing.
- Consumers weren't interested because it was an
extra cost in a system where you paid for each phone
call individually and because they feared loss of
privacy
- a 2001 AT&T analysis of what went wrong
concluded that people didn't want to be seen on the
phone
- Skype was introduced in 2003, used computers
people already had
- the supersonic transport (commercial airplanes
going faster than the speed of sound) hasn't been
successful--the U.S. decided not to build on and the
French-English Concorde is now out of use
Even successful major innovations can be very slow to
catch on--Nye gives as examples the telegraph, telephone,
phonograph and personal computer
The failure
of Google Glass:
- in 2013 Google released a system to put a
computer in front of your eye at all times, but in Jan
2015 they stopped selling the product
- a lot of negative publicity
- do you want more information about everything you
see?
- privacy concerns as they enabled users to film
whatever they were looking at
- Steve Jobs: "People don't know what they want
until you show it to them." (source)
But sometimes they don't need it even then.
- it caught negative cultural connotations: "glasshole"
- safety and health
concerns
- will we see a new version soon?
The best technology doesn't always win--the classic
example of this is Betamax
- when VCRs were first introduced there were two
competing tape formats, Betamax and VHS
- Betamax is generally considered to have been
technologically superior, though some
disagree
- Sony didn't license its Betamax system to other
manufacturers
- as a result VHS won out and Betamax disappeared
"Far from being deterministic, technologies are
unpredictable."
But it is clear that sometimes something very new comes
along and takes us in a different direction
If we look at why future technology is hard to predict,
what can that tell us about technology?
- two kinds of change--following a trend or
something radically new
- some radically new technologies come from
scientific discoveries, for example the atomic bomb
- an inventor with a new idea about what people
might want, for example Eastman and the Kodak camera
for ordinary people
- sometimes technologies aren't accepted
- sometimes the "best" technology
doesn't win