I just came across an article in the UK Daily Record
that demonstrates how, despite transhumanist memes filtering out into
the public consciousness, and increasing awareness about the accelerating pace of technological change, many academics just don't get the timelines or the
scope of change truly being discussed. Example:
SCIENTISTS have announced what they think we will look like in the future - chinless wonders with coffee-coloured skin.
Within just 1000 years, we are going to evolve into giants up to 7ft tall and living to 120 years old.
Then it's all downhill, with the human race degenerating into genetic "haves" and "have-nots."
Within 1,000 years! By 2029, we'll likely have
computers on our desktop that are smarter than us and cost $1,000. A
few years later, if Kurzweil's anywhere near right, we'll have
computers on our desktop with the equivalent brainpower of the entire
current population of humans. In 1,000 years, it's highly unlikely that
humans will still be biological creatures (at least not all of us).
The ridiculously tame forecast outlined in the article comes from "evolution expert" Oliver Curry
at the London
School of Economics.
It obviously comes from the erroneous linear view of technological
change as opposed to the logarithmic view of technological change that
shows how change itself is speeding up.
The timelines in this article are laughably conservative:
The next 9000 years is a lot more bleak and we will start to pay the genetic price for our overwhelming reliance on technology.
Spoiled
by our gadgets, we will become more selfish and start to lose emotions
like love, sympathy, trust and respect leaving us less able to care for
others.
By 100,000 years, the race for perfection will lead to two distinct species emerging.
My gosh, in the past 10,000 years
alone humanity has undergone such radical changes that it's hard to
believe anybody can propose, in any seriousness, that we'll undergo
such minor changes within the next 100,000 years.
Someone might want to chat with
Professor Curry about a career change, staying away from
technological forecasting, or at the very least learning more about accelerating change. I sincerely hope that nobody in any
position of power is putting any credence in, or making any decisions
by, such undeniably weak forecasting.