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Technological Change and Exponential Growth
To understand technological change and
exponential growth and leads directly into the 6 super trends, the reader needs
an understanding of the technological laws that drives our modern world. These
laws are the driving force of technological advancement in the 20th
and 21st century, and depend on the fundamental principle of
exponential growth, which is now called the Law of Accelerating Returns. To understand the Law of Accelerating
Returns the reader needs a basic understanding of what it means to grow something, or a number exponentially.
In this example, I am going to use the story of the Chinese emperor’s favorite
game, chess, and his reward to the inventor of the game. The story goes
something like this: The Chinese emperor loved the game of chess so much that
he wanted to show his gratitude to the inventor. Thus, he said to the inventor,
“I will give you anything in my kingdom. Just ask, and it shall be yours.” The
inventor replied, “All that I ask is that you place one grain of rice on the
first block of the chess board, and then two pieces of rice on the second block
then four pieces on the third block, doubling the numbers of rice until you
fill all 64 blocks of the chess board.” The emperor thought it was a modest
request, said “okay” and granted it. After doubling each piece of rice 63 times
the emperor went bankrupt, and the inventor had 18 million trillion grains of
rice that required rice fields that covered the surface of the Earth twice,
including the oceans.
Now we can use the same
concept of exponential growth and apply it to the growth of computer systems.[1]
To first understand the Law of Accelerated Returns and how it applies to the
exponential growth of computer systems, we need to have a grasp on where it
first originated in the biological context. The law of accelerating
returns by Ray Kurzweil states that:
1. Evolution applies positive
feedback in that the more capable methods resulting from one stage of
evolutionary progress are used to create the next stage.
2. As a result, the rate of progress of
an evolutionary process increases exponentially over time. Over time, the
“order” of the information embedded in the evolutionary process (i.e., the
measure of how well the information fits a purpose, which in evolution is
survival) increases.
3. A correlate of the above observation
is that the “returns” of an evolutionary process (e.g., the speed,
cost-effectiveness, or overall “power” of a process) increase exponentially
over time.
4. In another positive feedback loop,
as a particular evolutionary process (e.g., computation) becomes more effective
(e.g., cost effective), greater resources are deployed toward the further
progress of that process. This results in a second level of exponential growth
(i.e., the rate of exponential growth itself grows exponentially).
While
there is more to the Law of Accelerated Returns, for this paper we only need to
know the first four facts. The first point states that the evolution of
each organism is based, or builds upon the evolution of its predecessors. Thus,
without the evolution of its past predecessor the evolution of the future
organism could not continue, or in some cases even exist. The easiest way to
think about this is to visualize the construction of a skyscraper. If you
remove the concrete from the construction, you would not have a foundation or
the columns to support the weight of the building. The same is applied to the
Law of Accelerating Returns; if you removed one building block the whole system
will fail. The second and third point can be condensed into one
explanation. As the complexity of an organism increases, as does the time at
which new evolutionary milestones are met within a shorter period of time,
accelerating with every evolutionary step it takes.
To
summarize the words of Kurzweil, the evolution of life took billions of years
for the first building blocks to form, then followed primitive cells and the
process slowly started to accelerate as these single cell organisms turned into
a multi cellular organism until we reach the Cambrian explosion, which took
approximately tens of millions of years. Later, Humanoids developed over a
period of millions of years and, finally, mankind during the last hundreds of
thousands of years (Kurzweil). The fourth step states that once evolution
hits a certain point it starts to require more resources to further the
evolution of that specific organism. Thus creating a second level of
exponential growth, in other words the rate at which the original exponential
growth starts to double.
Now
that we have a basic understanding of how the Law of Accelerated Returns
applies from an evolutionary stand point it becomes easier to understand how
accelerated returns applies to technology in the twenty-first century. If
you were to look at the first technologies man developed, it would be basic
rock tools, fire, and the wheel. This growth remained fairly constant. You
could compare this growth to the evolutionary growth of the first organisms,
very slow and time consuming, developing the building blocks of technology that
helped form modern day technology. This growth remained fairly constant until
around 1000 A.D when a paradigm shift occurred, and two centuries later in the
ninetieth century (Kurzweil), after the discovery of electricity in the 1800’s
the exponential growth of technology truly started to manifest itself.
Finally,
when the Internet was first developed, the fourth stage of Kurzweil Law of
Accelerated Returns started to apply to technology and double the rate at which
technology started to exponentially double (see back to the fourth law). This
is where I believe you could compare it to the evolution of mankind on the
timescale of evolutionary events. However, there is one final evolutionary step
that we have not yet discussed – the point of Singularity. However, before we
dive into the ‘what if’ possibility of the singularity, There is one last fact
about exponential growth that we need to know. As we learned from the story of
the Chinese emperor and the inventor of chess, once you reach a certain number
raised to a power (2^2 or grains_of_rice^blocks_on_chest_board), you start to
experience extremely large numbers. According to the Law of Accelerated
Returns, the same can be applied to the human knowledge (human_knowledge^number_of_years).
Thus, as the amount of human knowledge increases and the time at which it
happens. The number of scientific breakthroughs will turn into a downhill
rolling snowball of exponentially, and the downhill is time. In the
twenty-first century over the next 100 years we will experience 20,000 years of
technological growth (Kurzweil).
Click here for Part 3
Please note: All content from Part 1, 3, and 4 was summarized from the book Futuring:The Exploration of the future by Edward Cornish
Please note: All content from Part 1, 3, and 4 was summarized from the book Futuring:The Exploration of the future by Edward Cornish
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