More of my philosophy about increasing GDP per capita and about competition and about productivity and about Israel and about Hubert Védrine and about discipline and about diversity and about racial nationalism and about race and about smartness and

[Amine Moulay Ramdane]

Hello,


More of my philosophy about increasing GDP per capita and about competition and about productivity and about Israel and about Hubert Védrine and about discipline and about diversity and about racial nationalism and about race and about smartness and about specialization and about Globalization and about depletion and pollution of natural resources and about philosophy and about the deeper understanding of the genetic algorithm and about the C++ <chrono> library and about the professionalism and about RDTSCP instruction and about the Precise Sleep() and about the essence of measuring time in the computer and about the final source code version of my StopWatch and about RDTSCP and RDTSC and about the CPU frequency scaling and about the memory barriers and about good technicality and the deeper understanding of the StopWatch and and more about x86 and ARM processors and about solar cells and about AES 256 encryption and TSMC and about China and about the Transformers and about Toyota and about China and about objective truth and about the objective and about the paper about the multiple universes and about quantum world and about consciousness and about mathematics and about the universe and about mathematical probability and about the positive behavior and about the positive mindset and about patience and about the positive energy and about the "packaging" or "presentation" and about the ideal and about the being idealistic 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..

So i am saying in my below previous thoughts, that you can increase much
more GDP per capita by increasing much more productivity by making the private sector the powerful motor of the economy and by being specialized in what you do better and by using technology and automation (also using artificial intelligence), but you have to know how to avoid the negative effects of automation , and here is my important thoughts about it:

"A study by researchers from MIT and Boston University claims that automation is responsible for more than half of the increase in the income gap between the most educated and the least educated workers in the United States. The study estimates that automation reduced the wages of men without a high school diploma by 8.8% and of women without a high school diploma by 2.3%. These figures have been adjusted for inflation. According to the study by Acemoglu and Restrepo, growing income inequality could also stem from, among other things, the decline in the prevalence of unions (a highly sensitive topic today in technology companies), market concentration resulting in a lack of competition for labour, or other types of technological change. Acemoglu and Restrepo's study comes at a time when the debate over whether or not to tax robots is heating up. More and more voices rise to call for a tax on robots to combat the effects of automation on income inequality. In this regard, a study published last month by economists at MIT suggests that introducing a tax on robot labor, preferably a modest tax, would incentivize companies to retain workers, while offsetting some of the payroll taxes lost through downsizing. Of course, the conclusions of the study are not unanimous.

According to economists' calculations, an effective tax on robots would probably be between 1% and 3.7%. The report estimates that if the tax is much higher, it would exaggerate the role that robots play in the operational routines of companies; and if it is lower, companies would have no incentive to retain human employees at all."

Read more here (and you can translate the web page from french to english):

Study claims automation has caused more than half of US income inequality since 1980

https://embarque.developpez.com/actu/340711/Une-etude-affirme-que-l-automatisation-est-a-l-origine-de-plus-de-la-moitie-de-l-inegalite-des-revenus-aux-Etats-Unis-depuis-1980-les-personnes-les-moins-diplomees-semblent-les-plus-touchees/

And following are some of the most important advantages of automation:

1. Automation is the key to the shorter workweek. Automation will allow
the average number of working hours per week to continue to decline,
thereby allowing greater leisure hours and a higher quality life.

2. Automation brings safer working conditions for the worker. Since
there is less direct physical participation by the worker in the
production process, there is less chance of personal injury to the worker.

3. Automated production results in lower prices and better products. It
has been estimated that the cost to machine one unit of product by
conventional general-purpose machine tools requiring human operators may
be 100 times the cost of manufacturing the same unit using automated
mass-production techniques. The electronics industry offers many
examples of improvements in manufacturing technology that have
significantly reduced costs while increasing product value (e.g., colour
TV sets, stereo equipment, calculators, and computers).

4. The growth of the automation industry will itself provide employment
opportunities. This has been especially true in the computer industry,
as the companies in this industry have grown (IBM, Digital Equipment
Corp., Honeywell, etc.), new jobs have been created.
These new jobs include not only workers directly employed by these
companies, but also computer programmers, systems engineers, and other
needed to use and operate the computers.

5. Automation is the only means of increasing standard of living. Only
through productivity increases brought about by new automated methods of
production, it is possible to advance standard of living. Granting wage
increases without a commensurate increase in productivity
will results in inflation. To afford a better society, it is a must to
increase productivity.


So I think i am highly smart since 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 have to explain on more thing in capitalism, so competition in capitalism and in the global world is not only on quality and quantity , but it is also on the price of the product or service, so if the price of the product or service goes too much low, so it can be detrimental to the producer of the product or service, so it is why i say that it comes with a level of volatility, so it is
why it can dynamically create a level of unemployment that has to be managed with the proper social services.

As you have just noticed, i have just explained, read it below, how Israel has become a rich country, but you have to read between the lines, since i am saying that you have to specialize in what you do better so that to increase much more productivity, and of course you have to read my following thoughts that shows an important rule that is:

5. Automation is the only means of increasing standard of living. Only
through productivity increases brought about by new automated methods of
production, it is possible to advance standard of living. Granting wage
increases without a commensurate increase in productivity
will results in inflation. To afford a better society, it is a must to
increase productivity.

And you can read more my thoughts about it in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/KN4V-rGRDdU


So I think i am highly smart since 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 have just looked at the following new video about Israel from an educated Indian, so i invite you to look at it:

Just how rich is Israel & how it got there with no oil. And yuan reality check for rupee nationalism

https://www.youtube.com/watch?v=01auN1TprS0


So i think i have to discover important patterns with my fluid intelligence in the above video, so here they are:

So i think that the above educated indian in the above video is not knowing how to abstract smartly and how to explain correctly, so i will do it now, so i think that Israel has increased much more its productivity so that to increase much more its GDP per capita, and it is the basis important pattern, but of course you have to know that you can efficiently increase much more productivity by making the private sector the powerful motor of the economy and by being specialized in what you do better and by using technology and automation (also using artificial intelligence), and i think it is what has done Israel, but Israel has not done just that , but it has also balanced its budget by for example cutting on the welfare state. But i invite you to read my following interesting thoughts about capitalism and about productivity and more in the following web link so that you understand my views:

https://groups.google.com/g/alt.culture.morocco/c/KN4V-rGRDdU


And of course you can read all my below thoughts about the genetic algorithm and about technology and about philosophy so that you understand my views:

I have just looked at the following video of a political analysis of a known french called Hubert Védrine, and here it is:

Frédéric Taddeï - Analyse de la société avec Hubert Védrine

https://www.youtube.com/watch?v=jugb_l8yUmM

So I think i am highly smart since 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 say
that the above analysis on the above video of Hubert Védrine is not correct,
since he is saying that the West is not what it was, and he is like saying that
the West is much weaker, but i think it is not true to say so , since also read my following thoughts of a comparison of USA vs China so that you understand that the West is still powerful:

So i think that USA will solve its deficit problem efficiently,
and i think that's not the problem, since i also think that USA is
borrowing mostly at a low interest rates, since i think in a long-term the interest rates at wich it is borrowing are low since USA is also a well diversified and powerful economy that is really resilient, so it is why i think that the USA government can handle a "much" heavier debt load since also USA is a well diversified and powerful economy that is really resilient, so it is why i think that USA debt is not problematic, also I think that USA will still be a super power in the future, since the USA debt is not problematic as i am explaining it, and i also say that we can not compare USA to China, since China has many defects like the "productivity" of China is not good both qualitatively and quantitatively, and China has a debt problem, so China is constrained by this factor of its debt problem, so China can not attain the level of productivity both quantitatively and qualitatively of that of USA in the near to medium future. But the productivity of USA is good both qualitatively and quantitatively, and China has other problems such as the quality of education of its workforce is much less than that of USA, it is why China is also lacking much in productivity both qualitatively and quantitatively. And you can look at the following interesting video so that to understand more:

Why won't China Surpass the United States? - VisualPolitik EN

https://www.youtube.com/watch?v=ZqowS-hlZ3M


So you can read the rest of my thoughts about capitalism and productivity and more in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/KN4V-rGRDdU

So there remains a philosophical question of from where comes the value
of an individual?, so i think since we are diversity , so we have to specialize in what we do better so that to be efficient and it is a matter of discipline , so when we get disciplined at that, the value of the individual comes from the value of this getting disciplined that makes us a much better society , so as you notice that it is also a matter of patience. So you have to learn at being the right patience at being disciplined on the good philosophy, so of course
you have to learn the good philosophy to people so that they be disciplined at it.

So i think you are understanding my ideas, since also notice how i am answering Le Pen in my below thoughts, so i think that there is no racial nationalism, since humans are diversified, so this one is strong and that one is smart and this one is artistic and that one is intellectual etc. etc., so it is why i think that it is not about IQ and/or smartness, since i think that this diversity is the most important thing and diversity is necessary and it is why i say that it is about specialization in what we do better, since i think that what also works well is the following: So capitalism is not a zero sum game, since with a reasonable level of growth, capitalism can both deliver rising living standards for most, and still ensure a relatively high rate of return to the owners of capital, and what also works well is that we have, in a job, to specialize the individual in what he does better since it increases much more productivity and quality , and what also works well is also to make the private sector the powerful motor of the economy, since self-interest is most of the time regulated by competition so that to not lead to corruption, as has said it the philosopher and economist Adam Smith, and i think that competition in capitalism with the good reward is an efficient way that brings good quality , and of course you have to use laws like anti-trust laws so that to regulate capitalism , and of course , and as you are noticing , i am using the values of my new monotheistic religion so that to soften morals correctly, and you can read about my new monotheistic religion in the below web links. And i invite you to read carefully my following interesting thoughts in the following web link about productivity and about capitalism and more so that you understand my views:

https://groups.google.com/g/alt.culture.morocco/c/KN4V-rGRDdU


And i invite you to read my previous thoughts so that you understand my views:

So i have just looked at the following video of monsieur Le Pen:

Jean-Marie Le Pen dans L'Heure de Vérité | 13/02/1984 | Archive INA

https://www.youtube.com/watch?v=6tBMdtRn5ZI

And here is my answer in both english and french to Le Pen:

Il me semble que Le Pen a un problème avec la philosophie, car je pense que le peuple européen n'existe pas racialement parlant. En science, il n'y a pas de races humaines en tant que telles, mais il n'y a qu'une seule race humaine. Donc, en philosophie, il faut être clair et précis. Je pense que le problème est un problème de moralité, car le nationalisme racial ne fonctionne pas bien pour la simple raison que les êtres humains ne se sentent pas pareils les uns aux autres. Les Européens se sentent individuellement différents. Donc, le nationalisme racial est une construction idéologique qui ne fonctionne pas bien. À mon avis, il faudrait regarder le problème plus directement et le résoudre sincèrement. Donc, à mon avis, le problème est d'ordre moral, puisque l'être humain en tant qu'être humain voudrait bien vivre. C'est pour cela qu'il se défend contre l'autre qui voudrait lui prendre de son bien-être. Comme vous le remarquez bien, c'est pour cela que je marque le point ci-dessous, en vous faisant remarquer que puisque l'être humain voudrait vivre bien, alors il est constamment en progression exponentielle qui le fait avancer en avant, comme je le fais remarquer ci-dessous. Mais remarquez bien que ce progrès exponentiel pourrait aussi créer le problème dont je parle ci-dessous en anglais.


It seems to me that Le Pen has a problem with philosophy because I believe that the European people do not exist racially speaking. In science, there are no human races as such, but there is only one human race. Therefore, in philosophy, one must be clear and precise. I think the problem is a matter of morality because racial nationalism does not work well for the simple reason that human beings do not feel the same towards each other. Europeans feel individually different. Hence, racial nationalism is an ideological construct that does not work well. In my opinion, we should look at the problem more directly and solve it sincerely. Therefore, in my view, the problem is of moral nature since human beings, as human beings, would like to live well. That is why they defend themselves against others who would take away their well-being. As you can see, that is why I emphasize the point below, by pointing out that since human beings would like to live well, they are constantly in exponential progress that propels them forward, as I mention below. But do notice that this exponential progress could also create the problem I am talking about below in English

I have just looked at the following video about Race and IQ:

Race and IQ — Sam Harris and Charles Murray Set the Record Straight on Intelligence Testing

https://www.youtube.com/watch?v=1YfEoxU82us


I think i am highly smart since 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 think that the
above video is not smart, since science says that there is no human races, but there is only one human race that we call humans, and the problem is with morality, since in morality we are perfectioning and advancing with an exponential progress, so there is white european people or others people that will not be able to adapt to this advancing and perfectioning of the exponential progress of our humanity, so it is not only a problem of blacks, since the exponential progress of our humanity can, in the near future, even make the average IQ and/or smartness of europeans not being able to adapt.

And you can look at the following video about this exponential progress
of our humanity so that you understand:

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


I think i am highly smart since 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 think i am also a new philosopher, and now i will explain one more important thing, so you have to understand that it is not about the IQ and about intelligence, since
you have to understand that it is about specialization in the job in what you do better , so you have to adapt and change your way of thinking by understanding it, since so that to be efficient in a society , we have to specialize in a job in what we do better , and specialization doesn't mean to be smart, and specialization in what you do better can make you rich even if you are not smart, so we are specializing in a job in what we do better since it increases much more productivity and quality, so neo-nazism is not what we call a smart ideology, since it is incorrectly saying that it is about the IQ and about smartness of the white people, but i am a new philosopher that is explaining that it is about specialization in a job in what we do better, and of course we have to respect the laws of the country. And i invite you to read all my below thoughts so that you understand my views:

So i invite you to read the following about the positive effects of Globalization on developing countries such as:

1- Globalization has permitted developed nations to invest in less
developed nations which has lead to creation of jobs for poor people.

2- The health and education system in developing countries has benefited
in a positive way due to the contribution of globalization.

So i invite you to read the following article to notice it:

The effects of Globalization on developing countries

Read more here:

https://medium.com/@BonillaXM/the-effects-of-globalization-on-developing-countries-1e465257c400


And read the following article so that to understand a very important thing:

The Limits of the Earth, Part 1: Problems

"In my own new book, The Infinite Resource: The Power of Ideas on a
Finite Planet, I challenge this view. The problem isn’t economic growth,
per se. Nor is the problem that our natural resources are too small.
While finite, the natural resources the planet supplies are vast and far
larger than humanity needs in order to continue to thrive and grow
prosperity for centuries to come. The problem, rather, is the types of
resources we access, and the manner and efficiency with which we use them.

And the ultimate solution to those problems is innovation – innovation
in the science and technology that we use to tap into physical
resources, and innovation in the economic system that steers our
consumption.

The situation we’re in isn’t a looming wall that we’re doomed to crash
into. It’s a race – a race between depletion and pollution of natural
resources on one side, and our pace of innovation on the other."

Read more here:

https://blogs.scientificamerican.com/guest-blog/the-limits-of-the-earth-part-1-problems/


I think i am also a new philosopher, and i think that what works well is the following: So capitalism is not a zero sum game, since with a reasonable level of growth, capitalism can both deliver rising living standards for most, and still ensure a relatively high rate of return to the owners of capital, and what also works well is that we have, in a job, to specialize the individual in what he does better, and what works well is also to make the private sector the powerful motor of the economy, since self-interest is most of the time regulated by competition so that to not lead to corruption, as has said it the philosopher and economist Adam Smith, and i think that competition in capitalism with the good reward is an efficient way that brings good quality , and of course you have to use laws like anti-trust laws so that to regulate capitalism , and of course , and as you are noticing , i am using the values of my new monotheistic religion so that to soften morals correctly, and you can read about my new monotheistic religion in the below web links. And i invite
you to read carefully my following interesting thoughts in the following web link about productivity and about capitalism and more so that you understand my views:

https://groups.google.com/g/alt.culture.morocco/c/KN4V-rGRDdU

And so that to understand my views as a new philosopher, i invite you to read my below just new thoughts about the genetic algorithm and all my below thoughts of my philosophy:

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 have 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 highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, so you have to understand the essence of measuring the time in computers ,
so for example C++ <chrono> library does not provide a direct way to retrieve the CPU frequency. The C++ <chrono> library primarily deals with time-related operations, such as measuring durations and performing time point calculations, but the best accuracy of C++ <chrono> library is in nanosecond, so it is not good, since you also need the accuracy in CPU cycles or ticks as is providing it my new StopWatch, so i invite you to study my new StopWatch so that to know how to implement a good StopWatch, so i invite you to read my below previous thoughts about the StopWatch so that
you understand my views:

So i think i am highly smart since 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 talking about my fluid intelligence in my below previous thoughts, but you have to notice that professionalism is also important, so you are noticing that i have just rapidly implemented a sophisticated StopWatch , and you can also notice my kind of professionalism, since i am rapidly discovering patterns with my fluid intelligence, and i am also professional since you are noticing the way that i am implementing it and the way i am learning you, so i think you have to be confident with my professionalism, since even if i have rapidly done it, you are clearly noticing the quality of the my new StopWatch, and of course i will document it correctly so that you know how to use it correctly and so that you know how to implement a good StopWatch, and of course i am supporting the x86 and x64 CPUs, and of course i can also support the ARM processors, but you have to read my below thoughts that explain my views on the ARM processors and about the ARM vs x86 and x64 CPUS, so i invite you to read my previous below thoughts so that
you understand my views about how to implement a good StopWatch:

So i think i am highly smart since 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 that the RDTSCP assembler instruction provides a synchronized timestamp across cores. The RDTSCP assembler instruction ensures that the timestamp is consistent across cores and can be used for accurate timing measurements in multicore/threaded environments. But RDTSCP assembler instruction is available only in newer CPUs, So now i will document more how to use CPU affinity in Windows and Linux so that to solve the following problem with the RDTSC assembler instruction that supports the older CPUs:

- Multicore/Threaded environments: If your system has multiple cores or threads, using rdtsc may not provide synchronized timing across different cores or threads. This can lead to inconsistent and unreliable timing measurements.

So i think i am highly smart since 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 have
just added to my new StopWatch a PreciseSleep() function that is more accurate than the Windows and Linux Sleep() function, so now i think
it is the final source code version of my StopWatch, and i have tested it
with older CPUs and with newer CPUs and i think it is working correctly, and i have also tested it with both Windows and Linux and i think it is working correctly, and now i will start to document it so that you know about it and so that you know how to use it, and now you can download the final source code version of my new updated StopWatch from my website here:

https://sites.google.com/site/scalable68/a-portable-timer-for-delphi-and-freepascal

and so that you know how to use it, and so that to have a deep understanding of the SoptWatch, i invite you to read my below previous thoughts:

So i think i am highly smart since 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 will talk more about the essence of measuring time in the computer, so from my understanding with my fluid intelligence how to implement my new StopWatch, i am discovering patterns with my fluid intelligence that
explain more the essence of measuring time in the computer, so here they are: so you have to get the frequency of the CPU, i mean when you are measuring time , you are measuring the CPU frequency too, but in the new
CPUs, the frequency can dynamically change, so you have two ways of doing it , so you can disable CPU frequency scaling in the bios and do
your exact time's measurement, and you can set it again, but the second way is that you can get a decent approximation without disabling the
CPU frequency scaling and do the benchmark timing of your code , as i am explaining it below, and of course the new CPUs today are multicores, so you have to know how to set the CPU affinity as i will explain to you how so that to do the timing with the StopWatch, other than that, you can get a good microsecond accuracy and a decent nanosecond accuracy with RDTSC assembler instruction, but you can get a CPU tick accuracy with RDTSCP assembler instruction, but so that know more about them , read my below thoughts, other than that, i am also explaining much more deeply the implementation of a StopWatch in my below thoughts, so i invite you to read my below thoughts so that to understand my views on how to implement a good StopWatch:

So i think i am highly smart since 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 have
just updated my StopWatch to support both RDTSCP and RDTSC assembler
instructions, so when the CPU is not new and it doesn't support RDTSCP , it will use RDTSC, and when it is a new CPU that supports RDTSCP , it will use it, so RDTSC is not a serializing instruction, so i have just correctly used the necessary memory barriers, and RDTSCP is a serializing instruction.

So i will now document correctly my StopWatch so that you also know how to use correctly the CPU affinity, and now you can download my final version of my source code from my website here:

https://sites.google.com/site/scalable68/a-portable-timer-for-delphi-and-freepascal

And i invite you to read all my previous following thoughts so that to deeply understand the StopWatch:

So i think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, so now i have to explain something important, so for a deep understanding of the StopWatch, you have to know more that the assembler instruction RDTSC is supported by the great majority of x86 and x64 CPUs, but it is not a serializing instruction , i mean that it can be subject to out-of-order execution that may affect its accuracy, so it is why i have just added correctly some other memory barriers, and now i think that it is working correctly, so you have to understand that there is another assembler instruction RDTSCP that is serializing instruction and is not subject to out-of-order execution, but it is compatible with just the new x86 and x64 CPUs, so i will support it in the very near future, but now i think you can be confident with my new updated StopWatch, and i think it is an interesting StopWatch that shows how to implement a good StopWatch from the low level layers. So i think you have to be smart so that to implement it correctly with the RDTSC, as i have just done it, so you can download the source code of my new StopWatch that i have just updated from my website here:

https://sites.google.com/site/scalable68/a-portable-timer-for-delphi-and-freepascal

And i invite you to read my previous below thoughts so that to have a deep understanding of the StopWatch:

So i think that my new StopWatch can give a decent approximation even of you don't disable CPU frequency scaling in the bios, and here is why:

When benchmarking a CPU under a heavy workload, it is generally expected that frequency scaling changes will be relatively small or negligible. This is because the frequency scaling mechanism typically aims to maximize performance during such scenarios.

Under heavy load, the CPU frequency scaling algorithm often increases the CPU frequency to provide higher processing power and performance. The goal is to fully utilize the CPU's capabilities for the benchmarking workload.

In these cases, frequency scaling changes are generally designed to be minimal to avoid introducing significant variations in performance. The CPU frequency may remain relatively stable or vary within a relatively small range during the benchmarking process.

Considering these factors, when benchmarking under heavy workload conditions, the impact of frequency scaling changes on timing measurements using RDTSC is typically limited. As a result, RDTSC can provide a reasonable approximation of timing for benchmarking purposes.

So then i invite you to read my following previous thoughts so that you understand my views on the StopWatch:


I have just updated my new StopWatch, and it now also includes the correct memory barriers for previous 32 bit Delphi versions like Delphi 7 ,
and you can download it from the just below web link, and i invite you to read my below previous thoughts so that to understand my views about the StopWatch:

So i have just updated my new StopWatch, so the first problem is:

- Instruction reordering: The rdtsc instruction itself is not a serializing instruction, which means that it does not necessarily prevent instruction reordering. In certain cases, the CPU may reorder instructions, leading to inaccuracies in timing measurements.

So i have just used memory barriers so that to solve the above problem.

And here is the second problem:

- CPU frequency scaling: Modern CPUs often have dynamic frequency scaling, where the CPU frequency can change based on factors such as power management and workload. This can result in variations in the time measurement based on the CPU's operating frequency.

So you have to disable CPU frequency scaling in the bios so that to solve the
above problem , and after that make your timing with my StopWatch.

And for the following third problem:

- Multicore/Threaded environments: If your system has multiple cores or threads, using rdtsc may not provide synchronized timing across different cores or threads. This can lead to inconsistent and unreliable timing measurements.

You can set the CPU affinity so that to solve the third problem.

So i will document more my StopWatch so that to learn you how to use it,
so stay tuned !

And now i have just updated my new StopWatch with the necessary memory barriers, and now you can be confident with my new updated StopWatch.

So now my new updated StopWatch uses memory barriers correctly, and it avoids the overflow problem of the Time Stamp Counter (TSC) , and it supports microseconds and nanoseconds and CPU clocks timing, and it is object oriented, and i have just made it support both x86 32 bit and x64 64 bit CPUs and it supports both Delphi and Freepascal compilers and it works in both Windows and Linux, so what is good about my new StopWatch is that it shows how you implement it from the low level layers in assembler etc., so i invite you to look at the new updated version of my source code that you can download from my website here:

https://sites.google.com/site/scalable68/a-portable-timer-for-delphi-and-freepascal


Other than that, read my below previous thoughts so that to understand my views:

So now we have to attain a "deep" understanding of the StopWatch,
so i think i am highly smart since 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 are noticing that i am, with my fluid intelligence, understanding deeply the StopWatch, so i have just discovered that the following StopWatch: https://www.davdata.nl/math/timer.html , from the following engineer from Amsterdam: https://www.davdata.nl/math/about.html , is not working correctly: since he is calling the function GetTickCount() in the constructor, but there is a problem and a bug, since when the tick count value in milliseconds returned by GetTickCount() reaches its maximum value that is high(dword) , it will wrap around to zero and start counting up again. This is because the tick count is typically stored in a fixed-size data type that has a maximum value, so it is why his way of timing in milliseconds in the constructor that he is using is not working, since it is not safe, so even if this StopWatch of this engineer from Amsterdam does effectively avoid the overflow problem of the Time Stamp Counter (TSC), since he is using an int64 in 32 bit x86 architecture in the Intel assembler function of getCPUticks() that i am understanding, and this int64 can, from my calculations, go up to 29318.9829 years , so i think his StopWatch is not working for the reason i am giving just above, and second problem is the accuracy of the timing obtained from the code he provided using rdtsc instruction in assembler is dependent on various factors, including the hardware and software environment. However, it's important to note that directly using rdtsc for timing purposes may not provide the desired accuracy due to several reasons:

- CPU frequency scaling: Modern CPUs often have dynamic frequency scaling, where the CPU frequency can change based on factors such as power management and workload. This can result in variations in the time measurement based on the CPU's operating frequency.

- Instruction reordering: The rdtsc instruction itself is not a serializing instruction, which means that it does not necessarily prevent instruction reordering. In certain cases, the CPU may reorder instructions, leading to inaccuracies in timing measurements.

- Multicore/Threaded environments: If your system has multiple cores or threads, using rdtsc may not provide synchronized timing across different cores or threads. This can lead to inconsistent and unreliable timing measurements.

So I have just thought more and i think i will not support ARM in my new StopWatch, since ARM processors don't support like a Time Stamp Counter (TSC) in x86 processors that is compatible with previous 32 bit and 64 bit CPUs , so ARM has many important weaknesses , so the first important weakness is the following:

There is no single generic method that can be universally applied to all Arm processors for measuring time in CPU clocks. The available timing mechanisms and registers can vary significantly across different Arm processor architectures, models, and specific implementations.

In general, Arm processors provide various timer peripherals or system registers that can be used for timing purposes. However, the specific names, addresses, and functionalities of these timers can differ between different processors.

To accurately measure time in CPU clocks on a specific Arm processor, you would need to consult the processor's documentation or technical reference manual. These resources provide detailed information about the available timers, their registers, and how to access and utilize them for timing purposes.

It's worth noting that some Arm processors may provide performance monitoring counters (PMCs) that can be used for fine-grained timing measurements. However, the availability and usage of PMCs can also vary depending on the specific processor model.

Therefore, to achieve accurate and reliable timing measurements in CPU clocks on a particular Arm processor, it's crucial to refer to the documentation and resources provided by the processor manufacturer for the specific processor model you are targeting.

And the other weaknesses of ARM processors are the following:

I have just looked at the following articles about Rosetta 2 and the benchmarks of Apple Silicon M1 Emulating x86:

https://www.computerworld.com/article/3597949/everything-you-need-to-know-about-rosetta-2-on-apple-silicon-macs.html

and read also here:

https://www.macrumors.com/2020/11/15/m1-chip-emulating-x86-benchmark/

But i think that the problem with Apple Silicon M1 and the next Apple SiliconM2 is that Rosetta 2 only lets you run x86–64 macOS apps. That would be apps that were built for macOS (not Windows) and aren't 32-bit. The macOS restriction eliminates huge numbers of Windows apps, and 64-bit restriction eliminates even more.

Also read the following:

Apple says new M2 chip won’t beat Intel’s finest

Read more here:

https://www.pcworld.com/article/782139/apple-m2-chip-wont-beat-intels-finest.html


And here is what i am saying on my following thoughts about technology about Arm Vs. X86:

More of my philosophy about the Apple Silicon and about Arm Vs. X86 and more of my thoughts..

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.

Read more here to notice it:

https://people.eecs.berkeley.edu/~krste/papers/waterman-ms.pdf


So i think RVC has the same compression as ARM Thumb-2, so i think
that i was correct in my previous thoughts , read them below,
so i think we have now to look if the x86 or x64 are still more cache friendly even with Thumb-2 compression or RVC.

More of my philosophy of who will be the winner, x86 or x64 or ARM and more of my thoughts..

I think i am highly smart, and i think that since x86 or x64 has complex instructions and ARM has simple instructions, so i think that x86 or x64 is more cache friendly, but ARM has wanted to solve the problem by compressing the code by using Thumb-2 that compresses the code, so i think Thumb-2 compresses the size of the code by around 25%, so i think
we have to look if the x86 or x64 are still more cache friendly even with Thumb-2 compression, and i think that x86 or x64 will still optimize more the power or energy efficiency, so i think that there remains that since x86 or x64 has other big advantages, like the advantage that i am talking about below, so i think the x86 or x64 will be still successful big players in the future, so i think it will be the "tendency". So i think that x86 and x64 will be good for a long time to make money in business, and they will be good for business for USA that make the AMD or Intel CPUs.


More of my philosophy about x86 or x64 and ARM architectures and more of my thoughts..

I think i am highly smart, and i think that x86 or x64 architectures
has another big advantage over ARM architecture, and it is the following:


"The Bright Parts of x86

Backward Compatibility

Compatibility is a two-edged sword. One reason that ARM does better in low-power contexts is that its simpler decoder doesn't have to be compatible with large accumulations of legacy cruft. The downside is that ARM operating systems need to be modified for every new chip version.

In contrast, the latest 64-bit chips from AMD and Intel are still able to boot PC DOS, the 16-bit operating system that came with the original IBM PC. Other hardware in the system might not be supported, but the CPUs have retained backward compatibility with every version since 1978.

Many of the bad things about x86 are due to this backward compatibility, but it's worth remembering the benefit that we've had as a result: New PCs have always been able to run old software."

Read more here on the following web link so that to notice it:

https://www.informit.com/articles/article.aspx?p=1676714&seqNum=6


So i think that you can not compare x86 or x64 to ARM, since it is
not just a power efficiency comparison, like some are doing it by comparing
the Apple M1 Pro ARM CPU to x86 or x64 CPUs, it is why i think that x86 or x64 architectures will be here for a long time, so i think that they will be good for a long time to make money in business, and they are a good business for USA that make the AMD or Intel CPUs.

More of my philosophy about weak memory model and ARM and more of my thoughts..


I think ARM hardware memory model is not good, since it is a
weak memory model, so ARM has to provide us with a TSO memory
model that is compatible with x86 TSO memory model, and read what Kent Dickey is saying about it in my following writing:


ProValid, LLC was formed in 2003 to provide hardware design and verification consulting services.

Kent Dickey, founder and President, has had 20 years experience in hardware design and verification. Kent worked at Hewlett-Packard and Intel Corporation, leading teams in ASIC chip design and pre-silicon and post-silicon hardware verification. He architected bus interface chips for high-end servers at both companies. Kent has received more than 10 patents for innovative work in both design and verification.

Read more here about him:

https://www.provalid.com/about/about.html


And read the following thoughts of Kent Dickey about the weak memory model such as of ARM:

"First, the academic literature on ordering models is terrible. My eyes
glaze over and it's just so boring.

I'm going to guess "niev" means naive. I find that surprising since x86
is basically TSO. TSO is a good idea. I think weakly ordered CPUs are a
bad idea.

TSO is just a handy name for the Sparc and x86 effective ordering for
writeback cacheable memory: loads are ordered, and stores are buffered and will complete in order but drain separately from the main CPU pipeline. TSO can allow loads to hit stores in the buffer and see the new value, this doesn't really matter for general ordering purposes.

TSO lets you write basic producer/consumer code with no barriers. In fact, about the only type of code that doesn't just work with no barriers on TSO is Lamport's Bakery Algorithm since it relies on "if I write a location and read it back and it's still there, other CPUs must see that value as well", which isn't true for TSO.

Lock free programming "just works" with TSO or stronger ordering guarantees, and it's extremely difficult to automate putting in barriers for complex algorithms for weakly ordered systems. So code for weakly ordered systems tend to either toss in lots of barriers, or use explicit locks (with barriers). And extremely weakly ordered systems are very hard to reason about, and especially hard to program since many implementations are not as weakly ordered as the specification says they could be, so just running your code and having it work is insufficient. Alpha was terrible in this regard, and I'm glad it's silliness died with it.

HP PA-RISC was documented as weakly ordered, but all implementations
guaranteed full system sequential consistency (and it was tested in and
enforced, but not including things like cache flushing, which did need
barriers). No one wanted to risk breaking software from the original in-order fully sequential machines that might have relied on it. It wasn't really a performance issue, especially once OoO was added.

Weakly ordered CPUs are a bad idea in much the same way in-order VLIW is a bad idea. Certain niche applications might work out fine, but not for a general purpose CPU. It's better to throw some hardware at making TSO perform well, and keep the software simple and easy to get right.

Kent"


Read the rest on the following web link:

https://groups.google.com/g/comp.arch/c/fSIpGiBhUj0




Tandem cells using perovskites and silicon make solar power more efficient and affordable

"Research into 'miracle material' perovskite in the past decade is now bearing fruit with more labs crossing the 30 percent barrier for solar cells. Solar is already a cost-effective method for harnessing renewable energy and is deployed across large parts of the planet in a bid to move away from fossil fuels."

Read more here:

https://interestingengineering.com/innovation/tandem-solar-cells-30-percent-energy-conversion-perovskites-silicon


And Toyota Motor Corporation is a Japanese multinational automotive manufacturer headquartered in Toyota City, Aichi, Japan. It was founded by Kiichiro Toyoda and incorporated on August 28, 1937. Toyota is one of the largest automobile manufacturers in the world, producing about 10 million vehicles per year, so Toyota announces a battery with a range of 1,200 km and a recharge in 10 minutes! , and Toyota seems to have both definitively solved the problem of stability and production cost, and you can read about it in the following article (And you can translate the article from french to english):

Toyota announces a battery with a range of 1,200 km and a recharge in 10 minutes!

Read more here:

https://www.futura-sciences.com/tech/actualites/voiture-electrique-toyota-annonce-batterie-autonomie-1-200-km-recharge-10-min-106302/


I invite you to read the following web page from IBM that says that AES 256 encryption is safe from large quantum computers:

https://cloud.ibm.com/docs/key-protect?topic=key-protect-quantum-safe-cryptography-tls-introduction


And read the following so that to understand it correctly:

And IBM set to revolutionize data security with latest quantum-safe technology

Read more here in the following new article:

https://interestingengineering.com/innovation/ibm-revolutionizes-data-security-with-quantum-safe-technology


And I have also just read the following article that says the following:

"AES-128 and RSA-2048 both provide adequate security against classical attacks, but not against quantum attacks. Doubling the AES key length to 256 results in an acceptable 128 bits of security, while increasing the RSA key by more than a factor of 7.5 has little effect against quantum attacks."

Read more here:

https://techbeacon.com/security/waiting-quantum-computing-why-encryption-has-nothing-worry-about


So i think that AES-256 encryption is acceptable encryption for quantum computers.


And Symmetric encryption, or more specifically AES-256, is believed to be quantum resistant. That means that quantum computers are not expected to be able to reduce the attack time enough to be effective if the key sizes are large enough, and to give you more proof of it, look at the following article from ComputerWorld where Lamont Wood is saying:

"But using quantum technology with the same throughput, exhausting the possibilities of a 128-bit AES key would take about six months. If a quantum system had to crack a 256-bit key, it would take about as much time as a conventional computer needs to crack a 128-bit key.
A quantum computer could crack a cipher that uses the RSA or EC algorithms almost immediately."

Read more here on ComputerWorld:

https://www.computerworld.com/article/2550008/the-clock-is-ticking-for-encryption.html


And about Symmetric encryption and quantum computers..

Symmetric encryption, or more specifically AES-256, is believed to be quantum resistant. That means that quantum computers are not expected to be able to reduce the attack time enough to be effective if the key sizes are large enough.

Read more here:

Is AES-256 Quantum Resistant?

https://medium.com/@wagslane/is-aes-256-quantum-resistant-d3f776163672


And it is why i have implemented Parallel AES encryption with 256 bit keys in my following interesting software project called Parallel Archiver, you can read about it and download it from here:

https://sites.google.com/site/scalable68/parallel-archiver


TSMC: Chinese curbs on rare metal exports will not have immediate effect

Read more here:

https://www.tomshardware.com/news/tsmc-export-curbs-on-rare-metal-exports-will-not-have-immediate-effect


And i invite you to read carefully about the new LongNet that scales sequence length of Transformers to 1,000,000,000 Tokens (and notice
in my below explanation that sequence length is not the context window):

https://huggingface.co/papers/2307.02486


So i say that you have to understand that the sequence length primarily refers to the input length during inference or when using the model for prediction. It determines the maximum length of the prompt or input text that the model can process at once.

During training, the context window or context size is used, which determines the length of the text that the model takes into account for predicting the next token in a sequence. The context window is typically smaller than the maximum sequence length.

So to clarify:

- Sequence length: Refers to the maximum length of the prompt or input text during inference or prediction.

- Context window: Refers to the length of the preceding text that the model considers during training to predict the next token in a sequence.


So i invite you to read in my following thoughts in the following web link about the limitations of Large Language Models such as GPT-4 etc.:


https://groups.google.com/g/alt.culture.morocco/c/SjBB8Wd-kGI


And OpenAI sets up a division responsible for creating an AI that will control the development of superintelligence

Read more here (and you can translate the article from french to english):

https://intelligence-artificielle.developpez.com/actu/346215/OpenAI-met-sur-pieds-une-division-chargee-de-creer-une-IA-qui-va-controler-le-developpement-de-la-superintelligence-supposee-etre-plus-intelligente-que-l-homme-Elle-pourrait-arriver-d-ici-2030/


Since i am speaking about objectivity in my below previous thoughts, i will ask a philosophical question of:

What is the objective and what is objective truth ?

So i will now discover patterns with my fluid intelligence that answer
the above question, and here they are , so i will start by the objective truth:

What is objective truth and what is subjective truth ?

So for example when we look at the the following equality: a + a = 2*a,
so it is objective truth, since it can be made an acceptable general truth, so then i can say that objective truth is a truth that can be made an acceptable general truth, so then subjective truth is a truth that can not be made acceptable general truth, like saying that Jeff Bezos is the best human among humans is a subjective truth. So i can say that we are in mathematics also using the rules of logic so that to logically prove that a theorem or the like is truth or not.

So then from the above pattern that i am discovering with my fluid intelligence , i will say that the "objective" is not the truth, but it is the objective information or analysis that is based on factual evidence, verifiable data, and logical reasoning, but you are noticing that the objective is the "way" to find the truth, but it is not the truth that is the goal of the the way of the objective.

So i have to make you notice that the below paper of 2019 is in accordance with Hugh Everett III model, and when it says that the quantum experiment suggests there’s no such thing as objective reality, i think that it doesn't mean that there is no reality, but it means that the classical materialistic model is not the right objectivity, since the quantum world has a different way of behaving like with qubits of the register of quantum computers that can be in different states, so that doesn't mean that this being in different states is not objective, but i think that it means that the classical way of explaining becomes not objective, so in conclusion , i think that the below patterns that i am discovering about the multiple universes that create our tuned universe is still objective and i think it is correct, so i invite you to read my below thoughts so that to understand my views:.

So the previous pattern that i have just discovered was not so true, since a new paper of year 2019 showed that there is no collapse, and i invite you to look at the following video so that to understand it:

https://www.youtube.com/watch?v=h75DGO3GrF4


And you can read about the new paper of year 2019 in the following MIT technology review:

A quantum experiment suggests there’s no such thing as objective reality

https://www.technologyreview.com/2019/03/12/136684/a-quantum-experiment-suggests-theres-no-such-thing-as-objective-reality/


Other than that , i think the below patterns that i have just discovered are
true, so i invite you to read them carefully in my following thoughts:

I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ, so now i have just
discovered another pattern with my fluid intelligence by looking at the following video, and i invite you to look at it:

Is math discovered or invented? - Jeff Dekofsky

https://www.youtube.com/watch?v=X_xR5Kes4Rs


So the important pattern that i am discovering with my fluid intelligence in
the above video is the following:

So i think that our universe is an evolutionary process, i mean that it is a random process , but it is not just a random process , since the random process is the "infinite" universes that have processed in like "Parallelly" and "Serially" and "Semi-Parallelly" in groups of a number of universes, by combining in a kind of manner, so that to create our tuned universe, and the Parallelly is like in parallel programming that accelerates much more the process of creating our tuned universe or other tuned universes like ours, and the "tuned" means that we are just discovering mathematics as patterns, as i am doing it below, that is the result of our tuned universe .

I think i am highly smart since 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 have just looked at the following video of Monte Carlo Simulation, and i invite you to look at it, and my answer to this video is just below:

https://www.youtube.com/watch?v=7ESK5SaP-bc


So i think that the above video is not so smart, since i am discovering patterns with my fluid intelligence in the above video, so the first important pattern that i am discovering is that when you want for example to find the average height of people world wide as is saying it the above video, so you have by logical analogy to look at the people world wide like a dice game, i mean even if the people distribution of height of the world is mixed up, it is by logical analogy like a dice, i mean that they are distributed with a weight that we call height , so when you select randomly a person , you are like, by logical analogy, playing at a dice game, so the selected person has a weight of height from the distribution that looks, by logical analogy, like a dice, so now you are understanding that when you select randomly more and more persons until for example 10000 persons, it will have the tendency to well approximate the distribution of all the heights of all the people around the world, so i also say that we have to select randomly since, by logical analogy, we have like to play at for example the game of dice "randomly".

And so that to know my other pattern that i have discovered with my fluid intelligence that explains the logical implication in mathematical logic, you can read my thoughts about it in the following web link:

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


I have just said yesterday the following:


"So i think you are understanding more my philosophy, so you can
say to me how can we be patience in front of life?, but i am a philosopher that says that my philosophy says that you have to be patience with a positive mindset , so patience in front of life can "appear" to be foolishness, but patience organized like a group with a positive mindset easy the things for you and it is the pleasant and attractive that brings the positive things, so i think that it is the way to go."


So i invite you to read my following thoughts about the positive mindset and behavior so that to notice that it also makes you empathic and kind and it permits to solve the problem that i am talking about in my below thoughts:


A positive mindset and behavior can be pleasant and attractive to others. When individuals display positivity, it often draws people towards them for several reasons:

- Optimism and positivity are contagious: Positive individuals tend to radiate a sense of optimism, enthusiasm, and joy, which can be infectious. People are naturally drawn to those who emit positive energy and exude a sense of happiness. The positive mindset of one person can inspire and uplift the mood of others, creating a more welcoming and enjoyable atmosphere.

- Emotional support and empathy: People with a positive mindset often display empathy, kindness, and genuine interest in others. They are more likely to offer emotional support, be good listeners, and provide encouragement. This compassionate behavior is attractive to others who appreciate being understood, supported, and valued.

- Solution-oriented approach: Positive individuals tend to focus on finding solutions rather than dwelling on problems. They approach challenges with a proactive and optimistic mindset, which can be appealing to those who seek a constructive and forward-thinking approach. People often appreciate being around individuals who can offer practical solutions and a positive perspective when faced with difficulties.

- Enhanced social interactions: A positive mindset can improve social interactions by promoting open communication, active listening, and a sense of inclusiveness. People are naturally drawn to those who create a friendly and welcoming environment. Positive individuals often have good social skills and are adept at building connections, which can make them more attractive and likable in social settings.

- Increased self-confidence: A positive mindset often goes hand in hand with increased self-confidence. When individuals believe in themselves and maintain a positive outlook, it can be appealing to others. Confidence is attractive because it conveys a sense of self-assurance, competence, and the ability to handle various situations, which can draw people towards individuals with a positive mindset.

Overall, a positive mindset tends to make individuals more pleasant and attractive to others. It can create a ripple effect, spreading positivity and building strong connections. By cultivating a positive outlook, individuals can not only improve their own well-being but also attract others who appreciate and value their positive mindset and behavior.



And i invite you to read my following previous thoughts so that to understand my views and so that to understand my philosophy (And don't forget to read my thoughts in the below web link):


So i think i am a smart philosopher and thinker, so i think that there is still an interesting philosophical subject, so i am not of the cynical philosophers , i mean that i am not saying that humans are just guided by egoism, but i mean that there is like a pressure of the wanting to be happy as i am explaining it in my below thoughts of my philosophy in the below web link, but i think i am not a pessimistic philosopher, since i think that we have by logical analogy to organize it like in Islam, i mean that we have to be organized as a group around a positive mindset , and from the positive energy of the positive mindset we become pleasant and attractive that counter-balance, so it is in accordance with the below pattern that says that we have to know how to wrap it in pleasant and attractive way, so my philosophy is also that it is the positive mindset, that by logical analogy with the below pattern, wrap it in a pleasant and attractive way that attracts efficiently people. So i invite you to reread all my previous below thoughts so that to understand my views:

So you have to understand me more, so i think i am a philosopher
and i am a thinker, so i think that in philosophy one of the most
important thing is to know how wrap the things in a pleasant
and attractive way , i mean that you have not to be naive,
since you can think that black people help correctly the poor and the needy of black people , but you are naive to think so, so i am not racist, but i am a philosopher and i am a wise man that is showing you the way,
so look at my below thoughts about the ideal and about the to be idealistic,
and you will notice the pattern, and one of the most important pattern when you want people to help the poor and the needy, is to wrap it in a pleasant and attractive way, so when you are saying to people, for example in a video, to help the poor and the needy, you have to wrap it in a pleasant and attractive way, so you have for example to show to people the ones that are beautiful of the poor and the needy or you have to show the ones that are beautiful of the handicaped people, so that it be pleasant and attractive so that people help them , so you have not to be naive, so it is the same for pedagogy and for the high ideal and principles. So i invite you to reread my below thoughts so that to understand correctly my views on different subjects:

I have just looked at the following video, so i invite you to look
at it:

Viktor Frankl on why idealists are real realists

https://www.youtube.com/watch?v=loay2imHq5E


And i think that the above video is forgetting about an important thing,
and read my second important question to ChatGPT below so
that to understand what is it:

And here is my first question to ChatGPT:


"What is idealism and what is it to be idealistic ?"


And here is what has answered me ChatGPT:


"Idealism is a philosophical perspective that asserts the primacy of ideas or the mind in understanding and shaping reality. It suggests that reality is fundamentally mental or conceptual in nature, and that ideas, thoughts, or consciousness are the ultimate reality. Idealism stands in contrast to materialism, which posits that the physical world is the primary reality.

In general, to be idealistic means to hold and pursue high ideals or principles, often with an emphasis on the possibility of achieving a better and more perfect state of affairs. Idealistic individuals tend to have a strong belief in the power of ideas, values, and moral principles to drive positive change in society. They often envision an ideal or utopian vision of the world and strive to bring it into existence.

Idealism can manifest in various fields and contexts, such as politics, social activism, personal relationships, and artistic endeavors. Idealistic individuals may be driven by a sense of purpose, moral values, or a desire to create a more just and harmonious society. However, it's important to note that idealism can also be criticized for being overly optimistic or detached from practical realities."


And here is my second important question to ChatGPT:


"And of course , so that to pursue high ideals or principles, it has to be attractive , i mean you have to be able to wrap the high ideals or principles with something that pleases and that attracts, and i think that it is an efficient way of doing even in pedagogy"


And here is what answered me ChatGPT:


"Yes, you're right. In order to effectively pursue high ideals or principles, it can be beneficial to present them in an attractive and appealing manner. This is often referred to as "packaging" or "presentation" in the context of communication or pedagogy.

When ideals or principles are presented in an engaging and appealing way, they have a greater chance of capturing people's attention and resonating with them emotionally. This can help generate interest, enthusiasm, and motivation to embrace and work towards those ideals or principles.

In pedagogy, making use of attractive and engaging teaching methods, such as interactive activities, visual aids, storytelling, or real-life examples, can enhance students' understanding and retention of the subject matter. By presenting high ideals or principles in a relatable and appealing way, educators can foster a deeper connection and inspire students to embrace those values and apply them in their lives.

However, it's important to maintain the integrity and substance of the ideals or principles being presented. While attractive packaging can help draw initial interest, it is crucial to ensure that the underlying ideals or principles are meaningful, well-founded, and capable of withstanding critical examination. Balancing attractiveness with substance is essential for fostering genuine and lasting commitment to high ideals or principles."


And i invite you to carefully read my thoughts of my philosophy and my thoughts about technology and my other thoughts in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/SjBB8Wd-kGI



Thank you,
Amine Moulay Ramdane.