Hello,



More of my philosophy about how innovation is related to productivity
and more of my thoughts..

I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms..


I have passed two certified IQ tests and i have scored above 115 IQ.

You will ask me why i am talking as i am talking about productivity
and presenting it as a very important tool that makes a country
much more richer, since we have to think about the weight of importance
of productivity by noticing that in economy we can say that the
"major"(and notice the weight of importance) benefits of innovation is
its contribution to economic growth, and economic growth can also be
discussed as an increase in the productive capacity, or potential
output, of an economy. Using this thinking, economic growth leads to
growing the size of the entire pie, so that over time each person
receives a bigger slice without redistributing resources. Also we can
also simply say that innovation can lead to higher productivity, meaning
that the same input generates a greater output. As productivity rises,
more goods and services are produced – in other words, the economy
grows, so reread my following thoughts so that you understand:


And read my previous thoughts so that to understand much more:


I think the most important thing so that to make a country
much more richer is to increase much more "productivity" that increases
much more the GDP of a country, but of course we can use artificial intelligence and automation to increase much more productivity, but the
so important thing to also ask is how to "scale" productivity, and it is
what i am answering below, but first read the my following thoughts so
that you understand:

So read the following so that to notice:

"Compelling data reveal a discouraging truth about growth today. There
has been a marked decline in the ability of traditional levers of
production capital investment and labor to propel economic growth."

And read the following:

"Accenture research on the impact of AI in 12 developed economies
reveals that AI could double annual economic growth rates in 2035 by
changing the nature of work and creating a new relationship between man
and machine. The impact of AI technologies on business is projected to
increase labor productivity by up to 40 percent and enable people to
make more efficient use of their time."

Read more here so that to notice it:

https://www.accenture.com/ca-en/insight-artificial-intelligence-future-growth-canada

And McKinsey estimates that AI(Artificial intelligence) may deliver an additional economic output of around US$13 trillion by 2030, increasing
global GDP by about 1.2 % annually. This will mainly come from
substitution of labour by automation and increased innovation in
products and services.

Read more here:

https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf

And you can read my thoughts about artificial intelligence and
productivity and about China and its artificial intelligence and
computer chips in the following web link so that to also understand
how artificial intelligence will increase much more productivity:

https://groups.google.com/g/alt.culture.morocco/c/UOt_4qTgN8M

And now i will ask a philosophical question:


How to manage efficiently complexity ?


I think you can manage complexity by the “divide and rule” approach
to management, which also leads to hierarchical division of large organisations, or wich also leads to the Division of "labour", you can
read more about the Division of labour here:


https://en.wikipedia.org/wiki/Division_of_labour


Also you can manage complexity by using constraints, such as laws, road
rules and commercial standards, all of which limit the potential for
harmful interactions to occur, also you can manage complexity by using
higher layers of abstraction such as in computer programming, and we can
also follow the efficient rule of: "Do less and do it better" that can
also use higher level layers of abstraction to enhance productivity and quality, this rule is good for productivity and quality, and about productivity, i invite you to read the following thoughts about
productivity from the following PhD computer scientist:


https://lemire.me/blog/about-me/


Read more here his thoughts about productivity:


https://lemire.me/blog/2012/10/15/you-cannot-scale-creativity/


And i think he is making a mistake:


Since we have that Productivity = Output/Input


But better human training and/or better tools and/or better human
smartness and/or better human capacity can make the Parallel
productivity part much bigger that the Serial productivity part, so it
can scale much more (it is like Gustafson's Law), and it looks like the following:


About parallelism and about Gustafson’s Law..


Gustafson’s Law:


• If you increase the amount of work done by each parallel
task then the serial component will not dominate
• Increase the problem size to maintain scaling
• Can do this by adding extra complexity or increasing the overall
problem size


Scaling is important, as the more a code scales the larger a machine it
can take advantage of:


• can consider weak and strong scaling
• in practice, overheads limit the scalability of real parallel programs
• Amdahl’s law models these in terms of serial and parallel fractions
• larger problems generally scale better: Gustafson’s law


Load balance is also a crucial factor.


So read my following thoughts about the Threadpool to notice that my
Threadpool that scales very well does Load balance well:


---


About the Threadpool..


I have just read the following:


Concurrency - Throttling Concurrency in the CLR 4.0 ThreadPool


https://docs.microsoft.com/en-us/archive/msdn-magazine/2010/september/concurrency-throttling-concurrency-in-the-clr-4-0-threadpool


But i think that both the methodologies from Microsoft of the Hill
Climbing and of the Control Theory using band pass filter or match
filter and discrete Fourier transform have a weakness, there weakness is
that they are "localized" optimization that maximize the throughput , so
they are not fair, so i don't think i will implement them, so then you
can use my following invention of an efficient Threadpool engine with priorities that scales very well (and you can use a second Threadpool
for IO etc.):


https://sites.google.com/site/scalable68/an-efficient-threadpool-engine-with-priorities-that-scales-very-well


And here is my other Threadpool engine with priorities:


https://sites.google.com/site/scalable68/threadpool-e