Hello,


More of my philosophy about the deeper understanding of swarm intelligence and about the deeper understanding of my philosophy and about Deepmind and about the definition of a technical debt 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 think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, and you have to understand my below previous thoughts, since i am saying that swarm intelligence looks like the
genetic algorithm and like other evolutionary algorithms, since i have just discovered the following important pattern
with my fluid intelligence that explains it, and it is in a form of my below smart question to ChatGPT , and here it is:

So from what i understand , the exploration in the genetic algorithm is using an approximation, since the high degree of exploration permits to find a better global minimum and after that we explore in this near better global minimum so that to make the
probability of finding a better global minimum better, so this shows that the genetic algorithm search is a much better search than brute force search.

Read my below previous thoughts so that you understand more deeply what i mean:

So i invite you to read the following new article about swarm intelligence:

"A swarm is a system that is greater than the sum of its parts. Just as many neurons form a brain capable of thought, memory, and emotion, groups of animals can act in unison to form a “super brain,” displaying highly complex behavior not seen in
individual animals."

Read more here:

https://singularityhub.com/2023/08/10/how-swarming-animals-can-help-humans-and-ai-make-better-decisions/


And so that to understand more what is swarm intelligence , i invite you
to read carefully my following interesting thoughts about the genetic algorithm that uses technics that look like swarm intelligence:


I think that the low probability mutations in the genetic algorithm permits to explore , so you have to read carefully all my new thoughts below about the genetic algorithm so that you understand how the human genetics works by also using natural
selection, but here is my new question to ChatGPT that explains more and read my below thoughts about genetic algorithm so that you understand much more:

And here is my new question to ChatGPT:

So from what i understand , the exploration in the genetic algorithm is using an approximation, since the high degree of exploration permits to find a better global minimum and after that we explore in this near better global minimum so that to make the
probability of finding a better global minimum better, so this shows that the genetic algorithm search is a much better search than brute force search.

And ChatGPT has just answered me the following:

"Yes, you have captured the essence correctly. Exploration in optimization algorithms, including genetic algorithms (GA) , involves searching the solution space to discover potentially better solutions. The initial high degree of exploration allows for
the discovery of diverse regions, including the global minimum.

During the exploration phase, the algorithms aim to approximate the global minimum by sampling different areas of the solution space. This broader search helps in avoiding premature convergence to suboptimal regions and increases the probability of
finding the true global minimum.

Once a promising region or solution is identified, the algorithms transition into an exploitation phase. In this phase, they concentrate their search in the vicinity of the promising region to refine and improve the solutions. By focusing the search
around this area, the algorithms increase the probability of finding a better global minimum, as they are now exploring within a region known to contain good solutions.

This two-step process, starting with a higher degree of exploration and transitioning into exploitation around promising regions, allows the algorithms to balance the search for global optimality while refining the solutions found.

The exploration phase sets the foundation by exploring a wide range of the solution space and identifying potentially good regions or solutions. Subsequently, the exploitation phase intensifies the search in the vicinity of these promising areas to fine-
tune the solutions and potentially discover even better solutions.

By combining these exploration and exploitation strategies in the genetic algorithm increase the likelihood of finding better global minima, improving the overall efficiency and effectiveness of the optimization process."

More of my philosophy about the evolution of genetics of humans and about the genetic algorithm and more of my thoughts..

The cost function of a neural network is in general neither convex nor concave, so in deep learning you can use evolutionary algorithms such as the genetic algorithm and such, so you have then to know that in such situations you have to loop in a number
of iterations so that to find better solutions, so for example the genetics of humans has evolved in a such way , since i think that the great number of iterations with the crossover steps and the mutations and the selection of the process of evolution
of genetics of humans that look like a genetic algorithm, is what made humans be so "optimized" by for example having a smart brain, and of course you have to read my following thoughts so that to understand the rest of the patterns that i have
discovered with my fluid intelligence:

More of my philosophy about the Traveling Salesman Problem Using an Evolutionary Algorithm and more of my thoughts..

I invite you to look at the following interesting just new article
of Visual Studio Magazine of The Traveling Salesman Problem Using an Evolutionary Algorithm with C#:

https://visualstudiomagazine.com/articles/2022/12/20/traveling-salesman-problem.aspx


I think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, and i have just understood rapidly the above program of The Traveling Salesman Problem using an evolutionary
algorithm(a genetic algorithm) with C#, and i think that i am discovering the most important patterns with my fluid intelligence in the above program of the Traveling Salesman Problem using the genetic algorithm, and it is that the "crossover" steps in
the genetic algorithm exploit better solution, and it means that they exploit locally the better solution, and using "mutation(s)" in the genetic algorithm you explore far away from the locally, and if the exploration finds a better solution , the
exploitation will try to find a better solution near the found solution of the exploration, so this way of the genetic algorithm to balance the explore and the exploit is what makes the genetic algorithm interesting, so you have to understand it
correctly so that to understand the genetic algorithm.

I think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, so i am again discovering patterns with my fluid intelligence, and it is that the standard genetic algorithm has a
problem, and it is that it can get stuck in a local optimum and has a premature convergence and the premature convergence of a genetic algorithm arises when the genes of some high rated individuals quickly attain to dominate the population, constraining
it to converge to a local optimum. The premature convergence is generally due to the loss of diversity within the population, so i think that you have to solve this problem by using "probability", i mean that you have to divide the population of the
genetic algorithm in many groups of population and do the crossover and mutations in each group, so this will lower much more the probability to a small probability of getting stuck in a local optimum and of having a premature convergence, so then i will
invite you to look above at the just new article of Visual Studio Magazine of The Traveling Salesman Problem using an evolutionary algorithm with C#, and how it is not talking about all my patterns that i am discovering with my fluid intelligence, and it
is not explaining as i am explaining the genetic algorithm.

So as you are noticing that in my new above thoughts, i am saying that the distribution of the population fights the premature convergence by lack of diversity, but why am i not saying a "good" distribution? since it is inherent that the population has
to be well distributed so that the genetic algorithm explores correctly. And as you have just noticed that this thoughts are the thoughts of mine that i am discovering and sharing them with you.

I think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, so
as you have just noticed, i have just showed you how to avoid premature convergence by lack of diversity, read about it above, but i think i have to explain one more important thing about the genetic algorithm, and it is that when you start a genetic
algorithm, you are using a population, so since the distribution of the population also fights against the premature convergence by lack of diversity, so then so that to lower the probability to a small probability of getting stuck in a local optimum by
lack of diversity, you can rerun the genetic algorithm a number of times by using a new distribution of the population in every execution of the genetic algorithm and using a good size of the population, or you can use my above methodology so that to
avoid it efficiently in a single execution.


So i think i am a smart philosopher, so i will now explain more my new ideas of my philosophy so that you understand it correctly, so first you have to understand my new model of my philosophy below, since you will ask a question like of: how can you say
that your new model of philosophy is the right one ? so you have to understand that my new model of my philosophy is an abstraction, and notice carefully that this abstraction is creative and it creates the rest, i mean think about it carefully, since
notice that for example i am not saying to be innovation in technology, since i can say that from all the proportions kept constant of the genetical characteristics of humans we can say that from the well education we get innovation of technology, so my
new philosophy comes not with the requirement of just the being well educated, but it comes with other new ideas that you have to
read in my below previous thoughts, so now there is an important thing
to notice in my philosophy, and it is that from the rule of: Humans want to be happy, you get responsability too and you get quality too, since responsability can be logically inferred from the wanting to be happy,
since if you want to be happy in the future, you have to be responsability today, and quality is also logically inferred from the fact that when you
want to be happy , you demand high quality, and the demanding high quality
is like a pressure that makes us being of higher and higher quality, and it makes us selective in this kind of way, and of course with the democratization of information on youtube etc. we are now becoming
much more conscious of the kind of quality that we want and this
permits to set the standards, so we can ask another question in philosophy of do we have then freedom of choice between good and evil? , so i think
from the above rule above and its causes we can logically infer that
the vast majority of humans are not only not violent, but they are wanting
to be good, and also i invite you to carefully read my new below thoughts about the technical debt, and i invite you too to read all my new ideas of my philosophy in the my below previous thoughts:


So i think i am a new philosopher, and i say that we have not to be pessimistic, since i think that my new model of my philosophy below is
the right one, i mean that even if the rule is that humans want to be happy
and it makes us demanding high quality and the demanding high quality makes us being of higher and higher quality and it makes us selective ,
but i think that we have not to be pessimistic , since i think that
the vast majority of humans are not violent, so i think the key
to success is that you have to know how to be valuable,
i mean that we can not say that there is "just" big money that talk,
since i think that you have to know how to be "salable" taking into account what i have just said above, so i think that we have to be optimistic
since my new model of my philosophy says that since
the vast majority of humans are not violent, so it becomes easy
to make humans attractive by making humans more smart by making them well educated so that they be attractive so that for example they be able to love each others and so that they love to marry between them and so that they make enough babies , and of
course you have to know how to "guide" people so that they be well educated so that they not lose there way, so then the very important thing is to show the good way of being well educated. But
so that to understand the new ideas of my philosophy and so that to understand my new model of my philosophy, i invite you to read carefully my below thoughts:

I invite you to look carefully at the following interesting video
about the mixed chinese and european descent called Demis Hassabis that is the CEO and co-founder of DeepMind (You can read about him here: https://en.wikipedia.org/wiki/Demis_Hassabis ), and his childhood friend mixed arab and european descent called
Mustafa Suleyman that is an artificial researcher and co-founder and former head of applied AI at DeepMind (You can read about him here: https://en.wikipedia.org/wiki/Mustafa_Suleyman):

Why This Man is Microsoft's Worst Fear - The Genius behind DeepMind

https://www.youtube.com/watch?v=ok74PdU1MiQ


I say that a technical debt can indeed lead to financial problems. Initially, a technical debt might appear as a technical problem. However, these technical issues can have broader consequences. So when i am speaking about HP below, notice how i am
saying that the decline of HP was caused by a technical debt, so you can view the technical debt of HP as the technical decisions of HP that have caused a decline of HP, and the problem of the decline of HP has also become a difficult technical problem
to solve so that to solve the other financial problems caused by the technical decisions that were taken before.


And i invite you to read my following previous thoughts:


So i have to make you understand something important, since notice in my below thoughts about the technical debt that the doing things the quick and dirty way sets us up with a technical debt, since the doing things the quick and dirty way is also the
fact that HP has not invested correctly
in Research and development (R&D) even if it is a "competitive" market, so it is the quick way , since it is Short-Termism, and of course that this quick way becomes the dirty way, and the thing that HP also did is the Compaq acquisition, and here again
it was not done correctly and it is also a technical debt since notice carefully the decline of HP in the below video, so i think that the technical debt is a really important thing to take into account.


So i invite you to read my following previous below thoughts:


So i have just looked at the following video about the Decline of HP and what happened to HP, so i think the most important problematic is what
we call the technical debt, so i think that doing things the quick and dirty way sets us up with a technical debt, which is similar to a financial debt,
and there is an interesting saying about it as the following:

“Debt is like any other trap, easy enough to get into, but hard enough to get out of.”
—Josh Billings (American humorist)

So i invite you to read the following interesting article about the technical debt:

You’re thinking about technical debt all wrong

https://www.infoworld.com/article/3660632/you-re-thinking-about-technical-debt-all-wrong.html

And read also the following interesting article about it:

You can’t run away from technical debt

https://www.infoworld.com/article/3704233/you-cant-run-away-from-technical-debt.html

And i invite you to look at the following video about the decline of HP
so that you understand that it is also about the technical debt:

The Decline of HP...What Happened?

https://www.youtube.com/watch?v=ppqC0tNghSk


Good news ! , Python moves to remove the GIL and boost concurrency,
so Python will support true parallelism, and it will take around two or three years, so i invite you to read about it carefully on the following new article from InfoWorld:

https://www.infoworld.com/article/3704248/python-moves-to-remove-the-gil-and-boost-concurrency.html


"And since the release of Windows 11, Microsoft has published and regularly updates the list of compatible processors for its proper functioning. Sufficiently powerful processors, but not present in this list, could still bypass the classic installation
and make Windows 11 work properly.
For Intel processors, Windows 11 only supports 7th generation Intel processors (Kaby Lake, Skylake-X) and later, in addition to some Pentium, Atom, Celeron, and Xeon processors . On the AMD side, Windows 11 only supports second-generation AMD Ryzen
processors , which includes Threadripper , and later. For Qualcomm, Windows 11 only supports Snapdragon 850 and later processors."

Read more here in the following new article (And you can translate it
from french to english):

https://www.tomshardware.fr/windows-11-bloque-linstallation-du-systeme-sur-des-processeurs-precedemment-compatibles/


And good news ! , Windows 11 can even install on an old Intel Core 2 Quad Q6600, so i invite you to look at it carefully in the following video:

https://www.youtube.com/watch?v=G5QG1LnkgVw


Germany wants to attract 400,000 skilled workers from abroad each year

"Germany's new coalition government wants to attract 400,000 qualified workers from abroad each year to tackle both a demographic imbalance and labour shortages in key sectors that risk undermining the recovery from the coronavirus pandemic."

Read more here:

https://www.reuters.com/world/europe/germany-wants-attract-400000-skilled-workers-abroad-each-year-2022-01-21/


Look at the following interesting video that makes you understand that , as i am saying in my below thoughts, the vast majority of humans are not violent:

L'humain est-il méchant par nature ? | 42, la réponse à presque tout | ARTE

https://www.youtube.com/watch?v=EKsOzeKuplk


So i have just looked at the following video of the ideas of the french philosopher Albert Camus , and i invite you to look at it:

Life is complete nonsense | Albert Camus

https://www.youtube.com/watch?v=1Wu7xbGwPBI


So i think i am a new philosopher, and i say that the french philosopher says in the above video, that life has no meaning and you have to use courage, but i think that he is not correct, since first , so that to know if life has meaning you have to know how to measure it, so there is absolute measurement and there is relative
measurement, so then i say that
the pragmatic way of measuring , is like we measure the IQs of humans,
so the way the philosopher Albert Camus in the above video is measuring the meaning of human life is by saying that since life needs much more smartness than the human smartness, so then even the smart humans become not smart or not smart enough, so it
is the way that he is measuring the meaning of life by saying that life has no meaning, but i think that it is not the "pragmatic" way of measuring, since the way that we measure the IQs of humans is the pragmatic and realistic way, so then you have to
understand that in philosophy you have to be pragmatic before constructing the purpose or meaning of human life, so it is why you are understanding in my below ideas of my new philosophy, that i am saying that human life has a meaning and purpose and i
am explaining it to you, and so i invite you to read my below thoughts of my new philosophy so that you understand my views:

I have just looked at the following video about the meaning of human life
and about the purpose, and i invite you to look at it:

Finding Something to Live and Die For | The Philosophy of Viktor Frankl

https://www.youtube.com/watch?v=JX-8-IYhQKk


I think i am a new philosopher, and i think that the philosophy of Viktor Frankl in the above video is different than my philosophy, since in my philosophy and new ideas of my philosophy i am saying that the meaning or the purpose of human life comes
from a kind of positive spirit that is: you have to make understand that the vast majority of humans are not violent and we have not to be a too much violent society like for example being this too much sexualization and this too much violence in the
medias and this too much noise, and this kind of positive spirit brings the positive energy that permits to make acceptable the purpose of the road can go up and down so that it attains its destination or the goal, and it also makes easy to make humans
attractive , so we have to make humans more smart by making them well educated so that they be attractive so that for example they be able to love each others and so that they love to marry between them and so that they make enough babies , and of course
you have to know how to "guide" people so that they be well educated so that they not lose there way, so then the very important thing is to show the good way of being well educated.

So i invite you to read my below thoughts of my philosophy so that to understand my views:

So i think that i am a new philosopher, so you have to understand more
deeply my philosophy, and so that to understand my philosophy , you
have to read my ideas below of my thoughts about the philosopher Heraclitus, so i think that one of the new idea of my philosophy, is
that the philosophy of Heraclitus lacks one important ingredient,
and it is that we have to "balance" between in one side the fact that we accept that the road can go up and down so that it attains its destination or the goal and in the other side that we have to make understand that the vast majority of humans are not
violent and that we have not to be a too much violent society like for example being this too much sexualization and this too much violence in the medias and this too much noise, so we have to know how to soften morals, and of course the soften morals is
not just using beautiful music, since we can soften morals using ideas of philosophy or/and by being diplomatic and/or by being romantic etc.

And i invite you to read my following previous thoughts

So i think i am a new philosopher, so i think i have just posted about
a philosopher called Heraclitus , and i invite you to look carefully at his ideas of philosophy in the following video:

Heraclitus: Union of opposites, change & logos

https://www.youtube.com/watch?v=QzpXFyYOLIU


So the above philosopher that is called Heraclitus talks about the union
of the opposites by for example saying that the road can go up and down, so what he means is that there is a destination of the road or the goal,
but notice how the road can go up and down so that to attain the destination or the goal, so he is saying that we have to accept the fact that the road can go up and down so that to attain the destination or the goal, so it is i think the "basis" ideas
of the philosophy of Heraclitus, but i think the weakness of this philosophy is that you have to notice how the philosophy of Heraclitus says that you have to accept it, but i think it is naive to say to people to accept it, so it is the weakness, so my
new ideas of my philosophy
say that we have to think about the reliability of the structure , i mean the philosophy of Heraclitus has not just to say to accept it , but you have to be able to "convince" by using ideas to accept the fact that you have to accept that the road can go up and down so that to attain the destination or the goal, so notice that it
is about reliability, so it is what is doing my new ideas of my philosophy and the new model of my philosophy, so i invite you to read my new ideas of my philosophy in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/fpvk_69yEK0


So i think that phosphorus is not really a problem, since read the following carefully so that you notice it:

Pedro Sanchez, director of the Agriculture and Food Security Center at the Earth Institute, does not believe there is a phosphorus shortage. “In my long 50-year career, “ he said, “once every decade, people say we are going to run out of phosphorus.
Each time this is disproven. All the most reliable estimates show that we have enough phosphate rock resources to last between 300 and 400 more years.”

Read more here:

https://news.climate.columbia.edu/2013/04/01/phosphorus-essential-to-life-are-we-running-out/


"Rare Metals and Metalloids (RMs) are physically and chemically dissimilar to rare earth elements. However the RMs are diverse and share few overarching similarities. The critical rare metals (RMs) and metalloids discussed in this section are niobium,
tantalum, cobalt, indium, zirconium, gallium, and lithium. Most of these elements are mined in substantial quantities that meet world demand. However, the few countries that possess economically viable sources of critical elements are also experiencing
booms in technological industry, exploitation of workers, and political instability. This endangers the world supply of RMs over the next 100 years unless changes are made to mining and the consumption of these elements. This overview will serve to
outline basic background information behind this element group."

Read more here:

https://web.mit.edu/12.000/www/m2016/finalwebsite/elements/ree.html


"The rare earth elements (REEs) are comprised of the lanthanide elements plus scandium and yttrium, which have similar physical properties and are often found in the same ores and deposits. Specifically, REEs include the light REEs (LREEs) such as
lanthanum, cerium, praseodymium, neodymium, samarium, europium, and the heavy REEs (HREEs) gadolinium, terbium, dysprosium, holmium, erbium, thulium, ytterbium, lutetium, scandium and yttrium.

While most of these elements are not actually rare in terms of general amount of these elements in the earth's crust, they are rarely found in sufficient abundance in a single location for their mining to be economically viable. REEs have many important
applications in modern technology for which there is no equal substitute, but an increasing demand for these elements is straining supply."

Read more here:

https://web.mit.edu/12.000/www/m2016/finalwebsite/elements/ree.html


"Today, the world produces 150% more food on only 13% more land compared with 1960, thanks to many innovations in food production made over the years. We produce enough food to feed 1.5x the global population. That's enough to feed 10 billion yet we are
at just over 7 billion currently. There is enough for everyone."

Read more here:

https://news.thin-ink.net/p/we-produce-enough-food-to-feed-15#:~:text=Today%2C%20the%20world%20produces%20150,There%20is%20enough%20for%20everyone.

And read here on the following journal of substainable agriculture so that to notice it:

We Already Grow Enough Food for 10 Billion People

https://www.tandfonline.com/doi/abs/10.1080/10440046.2012.695331


And the world population is expected to reach 10.4 billion in 2100 and to stabilize at 10 billion around year 2070.

Read more here:

https://pubmed.ncbi.nlm.nih.gov/12281418/


So i don't think food for the growing population is a problem , and notice
that in year 2080 or 2100 we will be so powerful because of the exponential progress of our humanity, so we are going to solve many many of our problems, and i invite you to look at the following interesting video about it:

Exponential Progress: Can We Expect Mind-Blowing Changes In The Near Future

https://www.youtube.com/watch?v=HfM5HXpfnJQ


And i also invite you to read my interesting new thoughts in the following web link about the new and future technologies:

https://groups.google.com/g/alt.culture.morocco/c/lfnlD52jDzI

And you can read my thoughts in the following web link about cancer and about new interesting medical treatments and drugs:

https://groups.google.com/g/alt.culture.morocco/c/3HwdSeO3esc

And read more of my following thoughts about cancer and about health and about new interesting medical treatments and drugs etc.:

https://groups.google.com/g/alt.culture.morocco/c/k6_-3RpoSOA

And i invite you to read all my thoughts of my philosophy and my views on different subjects in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/fpvk_69yEK0


"Fusion is having a moment, Physicists have proven it’s possible. Now it’s up to engineers to harness fusion energy to generate electricity. Fusion power is now a solvable engineering challenge rather than an eternally elusive scientific puzzle. That
challenge can’t be met soon enough. And with billions of dollars of government funding and private investment and research from giant international projects fueling these companies, there’s real hope that within the next few years, we might start to
see the technology stack necessary to help wean the world off of fossil fuels, and at a pace that could turn the rising tides of climate change."

Read more here:

https://spectrum.ieee.org/fusion-is-having-a-moment


An evolved swine flu virus might attack us again, new study reveals

"The data from the study hints that if we manage to control the transmission of the virus in people who regularly interact with swine (like farmers), we can minimize the circulation of pdm09 in pigs and thus prevent it from evolving further."

Read more here:

https://interestingengineering.com/health/an-evolved-swine-flu-virus-might-attack-us-again-new-study-reveals

So we can generally consider CISC (Complex Instruction Set Computer) instructions of x86 architecture to be higher-level programming instructions compared to RISC (Reduced Instruction Set Computer) instructions due to their complexity.

CISC instructions are designed to perform more complex operations in a single instruction. This complexity allows higher-level programming languages and compilers to generate fewer instructions to accomplish certain tasks. CISC architectures often have a
broader range of instructions, some of which might even directly correspond to operations in high-level programming languages.

In contrast, RISC instructions are designed to be simpler and more streamlined, typically performing basic operations that can be executed in a single clock cycle. It might require more instructions to accomplish the same high-level task that a CISC
instruction could handle in a single operation.

More of my philosophy about Arm Vs. X86 ..

I invite you to read carefully the following interesting article so
that to understand more:

Overhyped Apple Silicon: Arm Vs. X86 Is Irrelevant

https://seekingalpha.com/article/4447703-overhyped-apple-silicon-arm-vs-x86-is-irrelevant


More of my philosophy about code compression of RISC-V and ARM and more of my thoughts..

I think i am highly smart, and i have just read the following paper
that says that RISC-V Compressed programs are 25% smaller than RISC-V programs, fetch 25% fewer instruction bits than RISC-V programs, and incur fewer instruction cache misses. Its code size is competitive with other compressed RISCs. RVC is expected to
improve the performance and energy per operation of RISC-V.


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