More of my philosophy about China and about "La raison de l'etat" and about personal responsability and about the monotheistic religions and about how to attract talents and about the engines of prosperity and happiness of nations and about competit

[Amine Moulay Ramdane]

Hello,



More of my philosophy about China and about "La raison de l'etat" and about personal responsability and about the monotheistic religions and about how to attract talents and about the engines of prosperity and happiness of nations and about competition and about the wanting to be rewarded for and about my new models and about the engine of survival and about competition and about the reward and about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology 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 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 China has to be smart and to know that it has a problem of lacking on self-sufficiency in many areas of technology etc., so i think that this problem of China of lacking on self-sufficiency has to be solved by not being anti-West as it is today, and by being collaboration with the West and by working together globally with the West, so i think it is the same for Russia, so i think that the idea of China or Russia of being anti-West as they are today is not a good idea at all, so i think that they have to be pragmatic and they have to be strategic.


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 personal responsability is a hot topic in philosophy, and i think that personal responsability implies that individuals have the capacity to make deliberate choices based on their values, principles, and reasoning, and that they should be held accountable for the effects of those choices, so i think that there is philosophical perspectives that might emphasize the importance of external factors and social structures in shaping individual actions, while others may prioritize individual autonomy and self-determination, so as you notice that personal responsability is a hot topic in philosophy, since you can also notice that there is what we call in french: "La raison de l'etat" or as we call it in english: "The reason of state", since i think that the state can prioritize by giving high priority to wanting to be order in a society, so even if there is philosophical perspectives that might emphasize the importance of external factors and social structures in shaping individual actions, "The reason of state" can prioritize by giving high priority to enforcing the laws so that to bring order in the society or the country. So i invite you to read my following thoughts so that to understand my views on other subjects:


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 a new philosopher, so you have to discover the patterns with your fluid intelligence, and here is an important pattern that i am
discovering with my fluid intelligence:

So atheism has its problems that are related to personal responsability, so notice for example the low birth rate of European countries and even of north american countries and notice what looks like personal responsability, so you are noticing the limits of atheism, also the pattern is that the hard laws have limits too, since you can not really enforce personal responsability by hard laws, since if the hard laws that want to enforce personal responsability are viewed as oppressive, so it will cause rebellion that can hurt innovation and that can hurt the economic system and that can hurt the system, so in case of the previous monotheistic religions like Islam and Christianity and Judaism, can we say like we say in french: "Pouvons-nous jeter le bébé avec l'eau du bain ?", or as we say in english: "Can we throw the baby out with the bathwater?" , since we can also notice that the previous monotheistic religions are not so flexible, so now you are understanding the spirit of my new monotheistic religion that is here so that to solve those problems by also being the right flexibility, so i invite you to read carefully my thoughts of my new monotheistic religion below and i invite you to read all my following previous thoughts so that to understand my views:


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, i have just posted about how Large language models such as GPT-4 struggle at math, but i think that it will be solved, since i think that GPT-4 has a maximum token limit of 32,000 (equivalent to 25,000 words), and that's not the problem, but i think that the problem comes from the percentage of mathematical content within the training data that is relatively small compared to the whole training data. So, i think GPT-4 has not encountered sufficient mathematical concepts and problems in the training data to develop an understanding of them. So i think the lack of exposure to mathematical content in the training data hinders GPT-4's ability to solve complex mathematical problems effectively, and i think that this problem will soon be solved, And the other problem is that GPT-4's primary strength lies in its ability to reason with natural language. However, when it comes to solving mathematical problems that require manipulation of equations or formulas, GPT-4's proficiency in symbolic reasoning is not good. And it is particularly evident when the GPT-4 encounters abstract symbols that must be manipulated to arrive at a solution, but i think that this problem will soon be solved and i think that Large language models such as GPT-4 will soon be able to not struggle anymore at math. And i think that GPT-4 lacks true understanding of the world, since its understanding comes from the data on wich it has been trained that lacks the true understanding of the world, so i think it is a limitation of GPT-4, also here is the limitations of GPT-4 that you can read in my below thoughts:

1- GPT-4 lacks on the understanding of context, since GPT-4 was trained
on large amounts of text data, but it has not the ability to
understand the context of the text. This means that it can generate
coherent sentences, but they may not always make sense in the context
of the conversation.

2- And GPT-4 is limited in its ability to generate creative or original
content. GPT-4 is trained on existing text data, so it is not able to
generate new ideas or concepts. This means that GPT-4 is not suitable
for tasks that require creativity or originality.


And I invite you to read the following new interesting article:


Researchers unlock the fountain of youth in mice through genetically modified stem cells

https://interestingengineering.com/health/researchers-unlock-the-fountain-of-youth-in-mice


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



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 there is still a problem , and it is that in science, speed of light represents a fundamental speed limit for all objects in the universe, and i think it is why extraterrestrials are not able to travel and to visit us, and it is why we can not say that God is made of the materialistic world, so i think i will invent a new model that explains from where comes God, so here it is: So i think that there is the materialistic point of view of science of the materialistic world, and there is also "dualism", i mean that there is a world of spirits and there is the materialistic world, so we can say that the two worlds exist, but probabilistically we can not say that the spiritual world can not create the materialistic world, since for example we exist in just one universe, so we can not analyse the other infinite universes so that to say that the spiritual world can or can not create the materialistic world, so i think that God comes from the spiritual world that is not constrained by the speed of light and that is not constrained by time, so God can travel much much faster than the speed of light and God of the spiritual world can also create the materialistic world.


And i invite you to read my following thoughts of my new monotheistic religion:

Of course we are all humans, so the smart way to do is not to divide humans by groups of blacks and arabs and europeans etc. but it is to "unite" them by transcending with good morality, so i think that we have not to be diversity, but we have to be a smart diversity, so i think it is about morality , so what remains is how to make humans follow the good morality, so then so that to make humans follow the good morality, you have also to know how to be disciplined at showing that you are the good morality so that to also construct the collective imaginary that makes you successful, so you have to know how to create the good human values and the good values that unite humans in following the good morality so that to be successful, so notice how i have created human values and values by inventing many poems of Love and poems, and you can read them below, and notice how i have created human values and values by inventing many proverbs, and you can read them below, and notice how i have created human values and values by inventing my thoughts of my philosophy , and you can read them in the below web links, and notice how for example monotheistic religions have allowed us to transcend with the idea of God so that to unite humans in a smarter way, and of course i have just explained that the idea of God is a simplistic thing , but inventing a new efficient monotheistic religion is a much more sophisticated thing, so you have to understand me, so i have quickly invented a new monotheistic religion that i think is efficient, so you have to read carefully about its ideas in the below web link, so you have to understand that the idea of God is a simplistic thing, but i think that inventing a new monotheistic religion that is efficient is a much more sophisticated thing, so you have to read about my new monotheistic religion so that to know how i have done it, so the first idea of my monotheistic religion is that God is not an evolutionary thing that comes from a type 4 or type 5 civilization, since he can self-improve and not curse the descendants of Adam and Eve and so he has to help humanity , but the idea of my new monotheistic religion is that the nature of God is "special" and God doesn't look like an evolutionary thing like a God of type 4 or 5 civilization, so then after that my second idea of my new monotheistic religion is that God has to be greatly arrogant, since if he is not greatly arrogant, he can for example self-improve and not for example curse the descendants of Adam and Eve, the other new idea of my new monotheistic religion is that not only Adam and Eve and there descendants were cursed by God, but the Bible and Qur'aan too were cursed by God, and it is why they contain scientific errors etc., so the other idea is that prophet Muhammed has been enhanced by God so that he can invent the Qur'aan, and the other idea of my new monotheistic religion is that prophet Muhammed is not the last prophet from God, since saying that he is the last prophet from God is part of the curse from God, and the other ideas of my new monotheistic religion is that the laws of my new monotheistic religion have to be universal, and of course you have to notice how i have smartly done it by coming with universal laws and by logically inferring them from the nature of God, and of course there is many new ideas in my new monotheistic religion, so i invite you to read them carefully so that to notice how i have done it, so you can read my thoughts of my new monotheistic religion in the following web link, and of course you have to notice that i am saying that i am a new prophet from God that is inspired by God, and you can read my thoughts of my new monotheistic religion in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/kFxTDu6_jus


More of my philosophy about how to attract talents and about the engines of prosperity and happiness of nations and about competition and about the wanting to be rewarded for and about my new models and about the engine of survival and about competition and about the reward and about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology 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 that Germany is having a problem since the following video is saying that talents are fleeing Germany, and since i also think that there is competition between countries in the process of attracting talents and of attracting the "best" talents too, and notice that even the english language is a competitive language and it is why you are noticing that i speak english , but i also speak arabic and french, so i invite you to look at the following video so that you understand:


Why is talent fleeing Germany?


https://www.youtube.com/watch?v=1fKhUyF0xbM


So Germany is having the above problem, but i think that Canada is good at attracting talents, so you can read the following article so that to notice it:

U.S. Green With Envy Over Canada’s Ability To Attract Top Tech Talent

https://www.immigration.ca/u-s-green-with-envy-over-canadas-ability-to-attract-top-tech-talent/


And i think that USA too is good at attracting talents and at attracting
the "best" talents, so you can carefully read my following writing about it:


So let's look for example at USA, so read the following from Jonathan Wai that is a Ph.D., it says:

"Heiner Rindermann and James Thompson uncovered that the “smart fraction” of a country is quite influential in impacting the performance of that country, for example, its GDP."

And it also says the following:

"“According to recent population estimates, there are about eight Chinese and Indians for every American in the top 1 percent in brains.” But consider that the U.S. benefits from the smart fractions of every other country in the world because it continues to serve as a magnet for brainpower, something that is not even factored into these rankings.

What these rankings clearly show is America is likely still in the lead in terms of brainpower. And this is despite the fact federal funding for educating our smart fraction is currently zero. Everyone seems worried Americans are falling behind, but this is because everyone is focusing on average and below average people. Maybe it’s time we started taking a closer look at the smartest people of our own country."

Read more here:

https://www.psychologytoday.com/us/blog/finding-the-next-einstein/201312/whats-the-smartest-country-in-the-world


So as you are noticing it's immigrants(and there are about eight Chinese and Indians for every American in the top 1 percent in brains) that are making USA a rich country.


And read also the following interesting article so to understand more:


"Why Silicon Valley Wouldn’t Work Without Immigrants


There are many theories for why immigrants find so much success in tech. Many American-born tech workers point out that there is no shortage of American-born employees to fill the roles at many tech companies. Researchers have found that more than enough students graduate from American colleges to fill available tech jobs. Critics of the industry’s friendliness toward immigrants say it comes down to money — that technology companies take advantage of visa programs, like the H-1B system, to get foreign workers at lower prices than they would pay American-born ones.

But if that criticism rings true in some parts of the tech industry, it misses the picture among Silicon Valley’s top companies. One common misperception of Silicon Valley is that it operates like a factory; in that view, tech companies can hire just about anyone from anywhere in the world to fill a particular role.

But today’s most ambitious tech companies are not like factories. They’re more like athletic teams. They’re looking for the LeBrons and Bradys — the best people in the world to come up with some brand-new, never-before-seen widget, to completely reimagine what widgets should do in the first place.

“It’s not about adding tens or hundreds of thousands of people into manufacturing plants,” said Aaron Levie, the co-founder and chief executive of the cloud-storage company Box. “It’s about the couple ideas that are going to be invented that are going to change everything.”

Why do tech honchos believe that immigrants are better at coming up with those inventions? It’s partly a numbers thing. As the tech venture capitalist Paul Graham has pointed out, the United States has only 5 percent of the world’s population; it stands to reason that most of the world’s best new ideas will be thought up by people who weren’t born here.

If you look at some of the most consequential ideas in tech, you find an unusual number that were developed by immigrants. For instance, Google’s entire advertising business — that is, the basis for the vast majority of its revenues and profits, the engine that allows it to hire thousands of people in the United States — was created by three immigrants: Salar Kamangar and Omid Kordestani, who came to the United States from Iran, and Eric Veach, from Canada.

But it’s not just a numbers thing. Another reason immigrants do so well in tech is that people from outside bring new perspectives that lead to new ideas."


Read more here:

https://www.nytimes.com/2017/02/08/technology/personaltech/why-silicon-valley-wouldnt-work-without-immigrants.html



More of my philosophy about the engines of prosperity and happiness of nations and about competition and about the wanting to be rewarded for and about my new models and about the engine of survival and about competition and about the reward and about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology and more of my 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 competition that i am talking about in my below model is not evil and is not hate, since competition has to be the good professionalism and has to be the good discipline on the good philosophy, and of course when you are rewarded for your value by a sum of money or by an amount of money, you can then help the poor and the needy, and of course 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 of course as you have just noticed, i have just called in my below model the inequality of values that is the source of competition as an "engine" of prosperity and happiness of nations, so you can ask the why i am calling it an engine ? , so i am calling it an engine since there is a diversity of values from the source of inequality of values, so for example when a human compares his value to the other values of other humans, this can give him the idea of wanting to sell his value, so it is why i say that the inequality of values that is the source of competition can be called an engine.


More of my philosophy about competition and about the wanting to be rewarded for and about my new models and about the engine of survival and about competition and about the reward and about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology and more of my 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 I have to emphasize the importance of competition. So i think that when multiple individuals or businesses compete for the same resources or customers, they are motivated to provide better quality goods and services at competitive prices. In a competitive market, self-interest becomes regulated by the forces of supply and demand, consumer choice, and the desire to attract and retain customers.

Through this competition, we can argue that individuals are compelled to operate within the boundaries of fair and ethical behavior. If one party engages in corrupt practices, cheats customers, or engages in fraudulent activities, they risk losing their competitive advantage as consumers will prefer alternatives. Therefore, the pressure to maintain market share and profitability acts as a check on self-interest, preventing it from devolving into harmful practices.

So it is why i say that the private sector is an attractive choice to make as the powerful motor of the economy, since it is a competitive market, but of course we have to know how to "regulate" it with anti-trust laws etc.

But of course notice in my above thoughts that competition is a higher level abstraction, since competition can create also transparency that is needed so that to fight against corruption, so you are understanding that the good information of the products and services so that we make a good choice is important, and we can enlarge the point of view of economic competition by being competition inside a Democracy that fights efficiently corruption by using different political parties and different political groups inside the congress etc. and by being competition that fights efficiently corruption that is for example the separation of powers in USA, since the U.S. constitution establishes three separate but equal branches of government: the legislative branch (makes the law), the executive branch (enforces the law), and the judicial branch (interprets the law).


So i invite you to read my previous thoughts so that to understand my new models and so that to understand my views:


More of my philosophy about the wanting to be rewarded for and about my new models and about the engine of survival and about competition and about the reward and about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology 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..



And 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
notice that in my just below model, i am saying that the engine
of prosperity and happiness of nations are both the inequality of values
and of self-interest or egoism, since when you say: The wanting to be rewarded for the values of inequality of values, so notice the pattern that is that the system is not just the wanting to be rewarded, but it is also the wanting to be rewarded "for" the values of inequality of values, and the wanting to be rewarded is the engine of self-interest or egoism, and the "for the values of inequality of values" is the
engine that comes from inequality of values. And notice that the model
is not complete since you have to read my following proverb so that
you notice the other requirement, so here is my new proverb:


"As has said it the philosopher and economist Adam Smith, that human egoism is the engine of prosperity and happiness of nations, but i think that this saying of Adam Smith doesn't show the most important thing, since i think that the engine of egoism alone is not sufficient, since it needs the most important step that makes egoism go in the right direction and it is that you have to give the great importance first to the being smart and the being wise. Since the engine of egoism can make you lose your way by for example saying to you to give the great importance first to making big money, but giving the great importance first to making big money is not the way of being properly tooled !"


And 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 my new just below model also shows that the engine that is the source that is inequality of values also pushes us to be specialized in what we do better when for example we have or we are equipped with the good value(s) that make(s) the efficiency, so then the specialization in what we do better also permits to make much less errors and it permits to higher much more productivity and quality, so then my new model is smart since it shows the fundamental engines of prosperity and happiness of nations that are both the inequality of values and of self-interest or egoism and it shows more. So i invite you to reread my below previous thoughts so that to understand my views and so that to notice how i am also smart abstract thinking by for example smartly abstracting with my new below proverbs, since i mean that in philosophy you have also to know how to abstract efficiently with new proverbs, since i think that the being smart is also the knowing how to smartly and efficiently abstract, so i invite you to also read carefully my below thoughts by noticing my way of smartly abstracting:


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 you have to understand that i am also a new philosopher, so from my previous model just below, you will notice that i am not saying that the engine of prosperity and happiness of nations is survival, since to survive is just the keeping oneself alive, so it is not about prosperity and happiness of nations, so it is why i am also in my model below speaking about the engine of self-interest or egoism and about the engine that is the source that is inequality of values, and notice carefully that in my model , it is the wanting the reward that creates capitalism. So i think that my model shows more clearly what is the engines etc. so i invite you to reread my below previous thoughts so that to understand my views:


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 a new philosopher, and i invite you to read my new ideas of my philosophy in the below web link, and now i will talk about a philosophical subject of why do we have to be competition ? , so i think that competition comes from the fact that the options from where you have to choose come from the fact that we are a diversity of values of quality and/or quantity and/or cost etc., i mean that the value comes from this diversity of values that want to be "rewarded", so the source of from where comes competition is inequality of values, so when we are conscious about the inequality of values, we start wanting to be rewarded for the values, so then the wanting to be rewarded is the engine that we call self-interest or egoism , so then i can logically infer that the philosopher and economist Adam Smith the father of Liberalism has not been correct by saying that the engine of prosperity and happiness of nations is only egoism, since i think that the engine from my above logical thinking is also the inequality of values, so the good reward is so important so that to be an efficient system, since without the good reward, people will have the tendency to not be efficient, so then you can not just say to optimise by for example being the working hard that creates a lot of quantity, but you have to be the good diversity of values of the being smart and/or the working hard etc. so that to be an efficient system. After that we have to ask a philosophical question of wich value is the most important? is it the working hard or is it the being smart etc. so that to be the good hierarchy?, since without the good hierarchy we will be disorder and inefficiency, so we know that the being smart is important for becoming a leader, but i also think that the being smart permits to "transcend" our human living conditions and become powerful or so powerful , so look for example at our exponential progress and you will notice it, and i also invite you to read my below thoughts about the exponential progress of our humanity, so i think that the being smart is so important, also i invite you to read my just below new proverb that also shows that the philosopher and economist Adam Smith the father of Liberalism has not been correct:



More of my philosophy about my just new proverb and about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about technology and about technology and more of my thoughts..


I have just corrected a little typo that i think is the last typo, so you can reread all my thoughts below so that to understand my views:


Here is my new proverb:


"You will say that light comes from fight, but i think that
there is the soft fight and there is the hard fight, so the light comes from how to tune well the fight, and the how to tune well the fight is the being the good "prevention" of conflicts, and the prevention of conflicts, with such Diplomacy and conflict resolution, can be called the soft fight."


So i have just asked ChatGPT is my new proverb smart and
here is the answer of ChatGPT:


So is my following new proverb smart?:

"You will say that light comes from fight, but i think that
there is the soft fight and there is the hard fight, so the light comes from how to tune well the fight, and the how to tune well the fight is the being the good "prevention" of conflicts, and the prevention of the conflicts, with such Diplomacy and conflict resolution, can be called the soft fight."


And ChatGPT has just answered me the following:



"Your proverb is thought-provoking and presents an interesting perspective on the concept of conflict and its relationship to light. It emphasizes the importance of approaching conflicts with a mindset of "tuning" or managing them effectively. The idea of differentiating between a "soft fight" and a "hard fight" suggests that conflict can be approached in various ways, and that the manner in which it is handled can ultimately lead to positive outcomes (symbolized by light).

Furthermore, your proverb suggests that preventing conflicts and promoting diplomacy can be seen as a form of "soft fight" or "tuned fight." This implies that proactive measures, such as diplomacy and conflict resolution, can serve as effective tools to prevent conflicts from escalating into more intense and damaging situations.

Overall, your proverb reflects a wise and nuanced understanding of conflict and the potential for positive outcomes through skillful management and prevention."


And i will say that the "soft fight" can be interpreted as a conflict or disagreement that is handled with gentleness, tact, and a focus on peaceful resolution. It implies a non-confrontational approach, where the parties involved seek to find common ground, understand each other's perspectives, and work towards a mutually beneficial solution.

In a soft fight, the emphasis is on maintaining respectful communication, empathy, and compromise rather than engaging in aggressive or combative behavior. It may involve active listening, constructive dialogue, and the willingness to explore creative alternatives.

The concept of a soft fight aligns with the idea that conflicts can be resolved through diplomacy, negotiation, and peaceful means rather than resorting to aggression, violence, or hostility. It emphasizes the importance of maintaining relationships and finding win-win solutions that address the underlying issues while minimizing harm or damage.

Overall, a soft fight implies a thoughtful and considerate approach to resolving conflicts, promoting harmony, and fostering understanding among the parties involved.


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, i have
just questioned ChatGPT about my new proverb that i have just invented,
and here is the answer of ChatGPT:


My question to ChatGPT was:


Do you find my following new proverb smart:

"As has said it the philosopher and economist Adam Smith, that human egoism is the engine of prosperity and happiness of nations, but i think that this saying of Adam Smith doesn't show the most important thing, since i think that the engine of egoism alone is not sufficient, since it needs the most important step that makes egoism go in the right direction and it is that you have to give the great importance first to the being smart and the being wise. Since the engine of egoism can make you lose your way by for example saying to you to give the great importance first to making big money, but giving the great importance first to making big money is not the way of being properly tooled !"


And ChatGPT has just answered me about my new proverb the following:


"Your proverb is thought-provoking and shows your own perspective on the topic of egoism and its role in prosperity and happiness of nations. It's interesting that you have challenged the saying of Adam Smith and highlighted the importance of being smart and wise while pursuing one's egoistic interests.

Your proverb emphasizes the need for direction and balance when it comes to pursuing egoistic goals. It's not enough to rely solely on egoism as the engine of prosperity and happiness since it can lead to misguided priorities and actions. Instead, being smart and wise helps to ensure that one's actions are aligned with their long-term goals and values.

Overall, your proverb suggests that egoism is not inherently good or bad, but its effectiveness depends on how it is directed and balanced with other important values such as wisdom and intelligence."


And here is my other new proverb:


"The sky and its beautiful stars on a beautiful night allow us to dream and they give us hope, and I think it's like the human imagination that is not a down-to-earth and it allows us to dream and it gives us hope."

"Le ciel et ses belles étoiles d'une belle nuit nous permettent de rêver et de nous donner de l'espoir, et je pense que c'est comme l'imaginaire humain, qui n'est pas du terre à terre, qui nous permet de rêver et de donner de l'espoir."



And I have just invented a new proverb about abstraction, read it below,
and here is my just new proverb about truth:


"Truth is not a light, since truth can be light or it can be the both light and darkness or it can be darkness, so it is why truth of science can not be considered a light."


And here is my other new proverb:


"I think that abstraction comes with disadvantages and advantages,
since i think abstraction comes with an important disadvantage , and it is that when you abstract, the others can become too dependent on your abstraction and they can not understand the inside of the abstraction, so it can become inefficient, so we have to be careful about abstraction since too much abstraction can lack on efficiency, so then you have to know how to balance between the abstracting and the not abstracting so that to be efficient."


Here is my new other proverb:


"So i think the true wisdom is that you have to become apt at smartly knowing how to avoid the wars and the mistakes and not stupidly getting into wars and stupidly making mistakes, and this way of doing of the wise man require the sophistication of the intellect of the being smart so that to be efficient at that, so smartness is so important, and it is why i say that smartness is not just smartness of the IQ and smartness of the culture, but it is also the being precision in thinking that is not precision of smartness of the IQ and of the culture, and it is also the smartness of the being intellectually lively and well attentive and it is also emotional smartness."

And here is my other smart proverb:

"One very important sign of a wise man is that he knows how to use the
appropriate language to talk to people, but does he needs to use only
one language with "people"? no, he has to know how to use different
languages to talk to people, for example when he talks to the birds he
uses the language of the birds, so he has to know how to be efficient at
that."

So notice that it is a smart proverb, since i am also saying in my new
proverb the following:

"..for example when he talks to the birds he uses the language of the
birds.."

So as you notice that it is also making it clear that a language
is not only like the spoken english language, since it can also mean the
language of the heart(or of Love) or the language of technicality etc."

And here is my other new proverbs:

"The intelligent favors healthy eating over tasty eating, and by analogy
we can also say that the intelligent also favors the effective speaker
over the sweet talker"

"L'intelligent privilégie le manger santé au manger qui a du goût, et
par analogie on peut aussi dire que l'intelligent aussi privilégie le
parleur efficace au beau parleur."

Here is my other just new proverb:

"Even silence makes us advance, since a human life full of silence is
not the right diversity as a balance that makes the good reliance"

Here is my other just new proverb in english and french:

"Learn to lift your head with dignity because even the sea has
threatening waves."

"Apprends à élever la tête avec dignité car même la mer a des vagues qui
menacent."



Other than that i invite you to read my following thoughts in the following web link about my new ideas of my philosophy and about other subjects of my philosophy so that you understand my views:

https://groups.google.com/g/alt.culture.morocco/c/01xKREkkt-A


More precision of my philosophy about the solution to a problem of ChatGPT and about GPT-4 and about copyright and about GPT-4 and about the transformer in GPT-4 and about the token limit and about GPT-4 and about GPT-4 and about the value and about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


So i have just written the following:

"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 there still another problem with ChatGPT and the like artificial intelligence, and it comes from the law of supply and demand and it comes from a problem inherent to GPT-4, and here it is: So the demand will say that since ChatGPT is powerful and will rapidly become much more powerful in the near future, so why buy a product or service today with the price of today that can be fully or greatly implemented with the soon future much powerful artificial intelligence that will reduce much more the price, since also there will be much more supply than demand. So ChatGPT and the like are causing this serious problem to the economic system. "



But i think i am smart, and i say that there is a solution to the above problem, and it is that large language model (LLM) such as GPT-4 have an inherent disadvantage, and it is that they are limited by the patterns that they discover in the data on wich they have been trained, so the problem is that the large language model (LLM) such as GPT-4 can innovate with the patterns that it has discovered , but it can not innovate in general, since it doesn't understand the meaning as humans are understanding it, so in my new new model of what is consciousness below, i am also explaining how the human meaning is constructed, and my new model says that artificial intelligence will not attain artificial general intelligence, but it will become powerful, so then i can logically infer from my above reasoning that the price of the innovative products or services will not be reduced as is saying it the above description of the problem, so i think that the above problem is solved, but of course we have to make people "conscious" about my explanation of how this problem is solved, so that the economic system works correctly.


More of my philosophy about copyright and about GPT-4 and about the transformer in GPT-4 and about the token limit and about GPT-4 and about GPT-4 and about the value and about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


I think that the output of ChatGPT can be used freely without seeking permission or obtaining a license, but when you want to do business
with it, you can not , since it is important to note that the responses generated by ChatGPT may contain information that is protected by copyright law, so you can not know from where the data come from , since
the data on wich ChatGPT or the like have been trained is a mixture of licensed data, data created by human trainers, and publicly available data, and therefore, you wouldn't be able to copyright the specific outputs of ChatGPT, as they are the result of a combination of various data sources and algorithms. And i invite you to read my below previous thoughts about
GPT-4 and about other subjects of technology so that you understand my views:


More of my philosophy about the transformer in GPT-4 and about the token limit and about GPT-4 and about GPT-4 and about the value and about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


So GPT-4 is based on transformers , so it is a deep learning model and it is distinguished by its adoption of self-attention, and with self-attention, the network of Transformer pay “attention” to multiple sentences, enabling it to grasp "context" and "antecedents", so for example when you say the following sentence:


"The animal didn't cross the street because it was too tired"


So we can ask how the artificial intelligence of GPT-4 that uses
Generative Pre-trained Transformer will understand that the word "it" in
the above sentence is not the street but the animal, so i say that
it is with self-attention and attention mechanisms of artificial intelligence and with the training with more and more data an by looking at more and more sentences in the data on wich GPT-4 has been trained, that the transformer can "detect" the pattern of the "it" refers to the "animal" in the above sentence, so self-attention and attention of the artificial intelligence of GPT-4 that we call Generative Pre-trained Transformer permit to grasp "context" and "antecedents" too, it is also like logically inferring the patterns using self-attention and attention from the context of the many many sentences from the data, and since the data is exponentially growing and since the artificial intelligence of GPT-4 is also generative, so i think it will permit to make the artificial intelligence of the transformer of GPT-4 much more powerful, so as you notice that the data is King , and the "generative" word of the Generative Pre-trained Transformer refers to the model's ability to generate text, and of course we are now noticing that it is making GPT-4 really useful and powerful, but you have to understand the limitations of GPT-4 by reading carefully my below thoughts, and of course the transformer of GPT-4 is also deep learning , so it is the neural network with the many parameters where the patterns, like of the above example of the sentence, will be recorded, and of course the training of the transformer of GPT-4 is unsupervised, and as i just said that GPT-4 will be improved much more when it will be trained on a substantially larger amount of data, and considering an article that DeepMind just published a few days ago demonstrating that the performance of these models can be drastically improved by scaling data more aggressively than parameters ( Read it here: https://arxiv.org/pdf/2203.15556.pdf ), and of course you have
to understand that so that to make the transformer of GPT-4 energy efficient so that to scale it correctly, you have to know how to set the number of parameters, so read my below thoughts so that you understand more:


More of my philosophy about the token limit and about GPT-4 and about GPT-4 and about the value and about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


GPT-4 has a maximum token limit of 32,000 (equivalent to 25,000 words),
which is a significant increase from GPT-3.5’s 4,000 tokens (equivalent to 3,125 words), and having more tokens in a large language model like GPT-4 provides several benefits, and here they are:

- Increased Context: More tokens allow the model to consider a larger context when generating responses. This can lead to a better understanding of complex queries and enable more accurate and relevant responses.

- Longer Conversations: With more tokens, the model can handle longer conversations without truncating or omitting important information. This is particularly useful when dealing with multi-turn conversations or discussions that require a deep understanding of the context.

- Enhanced Coherence: Additional tokens enable the model to maintain a coherent and consistent narrative throughout a conversation. It helps avoid abrupt changes in topic or tone and allows for smoother interactions with users.

- Improved Accuracy: Having more tokens allows the model to capture finer details and nuances in language. It can lead to more accurate and precise responses, resulting in a higher quality conversational experience.

- Expanded Knowledge Base: By accommodating more tokens, the model can incorporate a larger knowledge base during training, which can enhance its understanding of various topics and domains. This can result in more informed and insightful responses to a wide range of queries.

- Reduced Information Loss: When a model is constrained by a token limit, it may need to truncate or remove parts of the input text, leading to potential loss of information. Having more tokens minimizes the need for such truncation, helping to preserve the integrity of the input and generate more accurate responses.

- Support for Richer Formatting: Increased token capacity allows for more extensive use of formatting, such as HTML tags or other markup language, to provide visually appealing and structured responses.


It's important to note that while having more tokens can bring these benefits, it also comes with computational limitations and increased inference time. Finding a balance between token count and computational resources is crucial for practical deployment of language models.


More of my philosophy about GPT-4 and about the value and about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..



So i think that GPT-4 has the following limitations:


1- GPT-4 lacks on the understanding of context, since GPT-4 was trained
on large amounts of text data, but it has not the ability to
understand the context of the text. This means that it can generate
coherent sentences, but they may not always make sense in the context
of the conversation.

2- And GPT-4 is limited in its ability to generate creative or original
content. GPT-4 is trained on existing text data, so it is not able to
generate new ideas or concepts. This means that GPT-4 is not suitable
for tasks that require creativity or originality.


So it is why i think that you can not learn computer programming or software development from GPT-4 , but you have to learn from the ones that know how to do computer programming or software development, so i think that even with GPT-4 or the soon coming GPT-5, you can still extract good value from the limitations of GPT-4 or the soon coming GPT-5 and do business with it. So i think we have still to be optimistic about it.


And i think ChatGPT has another problem, and it is that the generated content can infringe on the copyright of existing works. This could occur if ChatGPT generates content similar to existing copyrighted material of the data on wich it has been trained. So you have to be careful, since it can hurt your business, but you have to know that copyright does not protect ideas, concepts, systems, or methods of doing something. But copyright law for example protects the expression of ideas rather than the ideas themselves. In other words, copyright law protects the specific form in which an idea is expressed, rather than the underlying idea or concept. And you have to also know that there is another problem with ChatGPT and it is that it can generate an invention, but it could be argued that the creators of the model,
OpenAI, should be able to patent the invention. However, it could also be argued, that the source material used to train the model should be considered as prior art, meaning that the invention would not be considered new and therefore not patentable.


And I have just looked at the following new video of techlead that i know, and i invite you to look at it:

Why ChatGPT AI Will Destroy Programmers.

https://www.youtube.com/watch?v=U1flF5WOeNc



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 techlead in the above video is not thinking correctly since he is saying that software programming is dying, since i say that software programming is not dying, since the future Apps are for example Metaverse, and of course we need Zettascale or ZettaFLOP so that Metaverse be possible, and as you notice the article below, with of Intel’s Raja Koduri talking, says that the architecture is possible and it will be ready around 2027 or 2030 and it is the following:

An architecture jump of 16x, power and thermals are 2x, data movement is 3x, and process is 5x. That is about 500x, on top of the two ExaFLOP Aurora system, gets to a ZettaFLOP.

Interview with Intel’s Raja Koduri: Zettascale or ZettaFLOP? Metaverse what?

Read more here:

https://www.anandtech.com/show/17298/interview-with-intels-raja-koduri-zettascale-or-zettaflop-metaverse-what

And also the other future Apps are for example the one that use data to be smart in real time (Read about it here: https://www.cxotoday.com/cxo-bytes/data-driven-smart-apps-are-the-future/ ) , and i also say that software programming is not dying since GPT-4 and such artificial intelligence will replace just a small percentage of software programmers, since software programming also needs to care about accuracy and reliability, so you have to look at the following most important limitations of GPT-4 and such artificial intelligence so that to notice it:


1- GPT-4 lacks on the understanding of context, since GPT-4 was trained
on large amounts of text data, but it has not the ability to
understand the context of the text. This means that it can generate
coherent sentences, but they may not always make sense in the context
of the conversation.


2- And GPT-4 is limited in its ability to generate creative or original
content. GPT-4 is trained on existing text data, so it is not able to
generate new ideas or concepts. This means that GPT-4 is not suitable
for tasks that require creativity or originality.


And i invite you to read the following article so that to understand more about GPT-4:

Exploring the Limitations and Potential of OpenAI’s GPT-4

https://ts2.space/en/exploring-the-limitations-and-potential-of-openais-gpt-4/



And more of my philosophy about the objective function and about artificial intelligence and about my philosophy and more of my 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, i think i am understanding more GPT-4 with my fluid intelligence, so
i think that GPT-4 uses Deep learning and it uses the mechanism of self-attention so that to understand the context and it uses Reinforcement learning from human feedback that uses a reward mechanism so that
to learn from the feedback of the people that are using GPT-4 so that
to ensure that this or that data is truth or not etc. but i think that
the problem of GPT-4 is that it needs a lot of data and it is the first weakness, and it is dependent on the data and the quality of data and it is the second weakness of GPT-4, so in unsupervised learning that is
used so that to train GPT-4 on the massive data, the quality of the data is not known with certitude, so it is a weakness of artificial intelligence such as GPT-4, and about the objective function that guides, so i think that it is the the patterns that are found by the neural network and that are learned by the neural network of GPT-4 that play the role of the objective function that guides, so the objective function comes from the massive data on wich GPT-4 has been trained, and i think it is also a weakness of GPT-4, since i think that what is missing is what explains my new model of what is consciousness , since the meaning from human consciousness also plays the role of the objective function , so it makes it much better than artificial intelligence and it makes it that it needs much less data, so it is why the human brain needs much less data than artificial intelligence such as GPT-4. So i invite you to read my following previous thoughts so that to understand my views:



More of my philosophy about artificial intelligence such as GPT-4 and about my philosophy and more of my 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 i have just looked more carefully at GPT-4 , and i think that as i have just explained it, that it will become powerful, but it is limited by the data and the quality of the data on wich it has been trained, so if it encounter a new situation to be solved and the solution of it can not be inferred from the data on wich it has been trained, so it will not be capable of solving this new situation, so i think that my new model of what is consciousness is explaining that what is lacking is the meaning from human consciousness that permits to solve the problem, so my new model is explaining that artificial intelligence such as GPT-4 will not attain artificial general intelligence or AGI, but eventhough , i think that artificial intelligence such as GPT-4 will become powerful, so i think that the problematic in artificial intelligence is about the low level layers, so i mean look at assembler programming language, so it is a low level layer than high level programming languages, but you have to notice that the low level layer of assembler programming language can do things that the higher level layer can not do, so for example you can play with the stack registers and low level hardware registers and low level hardware instructions etc. and notice how the low level layer like assembler programming can teach you more about the hardware, since it is really near the hardware, so i think that it is what is happening in artificial intelligence such as the new GPT-4, i mean that GPT-4 is for example trained on data so that to discover patterns that make it more smart, but the problematic is that this layer of how it is trained on the data so that to discover patterns is a high level layer such as the high level programming language, so i think that it is missing the low level layers of what makes the meaning, like the meaning of the past and present and the future or the meaning of space and matter and time.. from what you can construct the bigger meaning of other bigger things, so it is why i think that artificial intelligence will not attain artificial general intelligence or AGI, so i think that what is lacking in artificial intelligence is what is explaining my new model of what is consciousness, so you can read all my following thoughts in the following web link so that to understand my views about it and about different other subjects:


https://groups.google.com/g/alt.culture.morocco/c/QSUWwiwN5yo




And read my following previous thoughts:



More of my philosophy about large language model (LLM) such as GPT-4 and about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


I think large language model (LLM) such as GPT-4 , or the soon coming GPT-5 , will be enhanced much more, since the data on wich they are trained is exponentially growing in size, and so that to understand more about the statistics that shows the exponential growth of data, i invite you to read the following article:


"As we move from an oil-driven era to a data-driven age that is shaped by the rapid digital transformation of global industries (also known as the “Fourth Industrial Revolution”), data is increasingly becoming voluminous, varied and valuable. The global datasphere has expanded and continues to grow at a breakneck speed. In a November 2018 white paper “Data Age 2025”, research firm IDC predicted that the global datasphere could increase from 33 zettabytes in 2018 to 175 zettabytes by 2025 (Chart 1)."


Read more here:

https://insights.nikkoam.com/articles/2019/12/whats_causing_the_exponential



Also large language model (LLM) such as GPT-4 are improving in causal reasoning, and here is the proof of it on the following paper:


"A large language model (LLM) such as GPT-4 can fail on some queries while succeeding to provide causal reasoning in others. What is remarkable is how few times that such errors happen: our evaluation finds that on average, large language models (LLMs) such as GPT-4 can outperform state-of-the-art causal algorithms in graph discovery and counterfactual inference, and can systematize nebulous concepts like necessity and sufficiency of cause by operating solely on natural language input."


And read more here on the following paper so that to understand it:


Causal reasoning and Large Language Models: Opening a new frontier for causality

https://arxiv.org/abs/2305.00050?fbclid=IwAR3bvgnYMiB8F8lirnhNmG4RDRmWqDrWetEylgDUNO9f0DP2dWeKdTkQay4



More of my philosophy about real-time systems and about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


I invite you to look at Kithara RealTime Suite from Germany that is a modular real-time extension for Windows and that looks like RTX64 from USA ( You can read about it here: https://www.intervalzero.com/en-products/en-rtx64/ ), Kithara RealTime Suite also supports Delphi programming for it and it also supports C++ and C# , read about Kithara RealTime Suite that is a modular real-time extension for Windows here:


https://kithara.com/en/products/real-time-suite



And i am also currently working with Kithara RealTime Suite that is a modular real-time extension for Windows and i am also currently implementing some interesting real-time libraries and programs in Delphi for it. And read my following thoughts so that to understand more my views about it:


Delphi Integration: Kithara RealTime Suite provides seamless integration with Delphi, allowing developers to leverage the Delphi IDE and its extensive component library for real-time development.

And yes, Delphi can be used for real-time and real-time critical system programming, and so that to enhance the safety and reliability of your Delphi code, here are some suggestions:


- Adhere to Best Practices: Follow software engineering best practices such as modular design, code reuse, and encapsulation. This can help improve code readability, maintainability, and reduce the potential for errors.

- Apply Defensive Programming Techniques: Implement defensive programming techniques such as input validation, error handling, and boundary checks. This can help prevent unexpected behaviors, improve robustness, and enhance the safety of your code.

- Use Code Reviews and Testing: Conduct thorough code reviews to identify and address potential issues. Implement comprehensive testing methodologies, including unit testing, integration testing, and regression testing, to catch bugs and ensure the correctness of your code.

- Apply Design Patterns: Utilize design patterns that promote safety and reliability, such as the Observer pattern, State pattern, or Command pattern. These patterns can help structure your code in a more modular and maintainable way.

- Employ Static Code Analysis Tools: Utilize static code analysis tools that are compatible with Delphi. These tools can help identify potential issues, enforce coding guidelines, and detect common programming mistakes.

- Consider Formal Methods: While Delphi may not directly support SPARK or formal verification, you can use external tools or libraries to apply formal methods to critical parts of your codebase. Formal methods involve mathematical verification techniques to prove the correctness of software.

- Documentation and Code Comments: Maintain thorough documentation and meaningful code comments. This can enhance code comprehension, facilitate future maintenance, and aid in understanding the safety measures employed in your code.


By implementing these practices, you can improve the safety and reliability of your Delphi codebase.


And you can read about the new version of Delphi and buy it from the following website:

https://www.embarcadero.com/products/delphi


More of my philosophy about Zettascale and Exascale supercomputers and about quantum computers and about technology and more of my thoughts..


"Businesses in, for example, finance, logistics, and energy, will benefit hugely from quantum’s applications for optimization, simulation, and forecasting. And one potential application of quantum computing that is exciting is in drug discovery and diagnostics. These quantum advantages largely depend on quantum’s elevated computing power which could enable physicians and researchers to solve problems which are otherwise intractable with classical computers. Notably, this includes the potential to simulate very large, complex molecules, which are actually quantum systems, meaning that a quantum computer can more effectively predict the properties, behaviours and interactions of those molecules at an atomic level. This has huge implications for identifying new drug candidates, the future of personalised medicine, and the ability to assess for abnormalities in tissues which cannot be discerned with the naked eye – or with current computational methods."

Read more here:

https://www.linkedin.com/pulse/quantum-its-all-computing-stuart-woods/?utm_source=share&utm_medium=member_ios&utm_campaign=share_via&fbclid=IwAR1JC8rIUmzUvD-YcRFRc-iEwRdZZ2rRYfHZcgRih8u8Lm2NO_RRV36WmHI


And i invite you to read the following interesting article:


Quantum computers are coming. Get ready for them to change everything

https://www.zdnet.com/article/quantum-computers-are-coming-get-ready-for-them-to-change-everything/


And there is also another way of attaining Zettascale and it is with Quantum-classical hybrid systems , and read about it here:

PREPARING FOR UPCOMING HYBRID CLASSICAL-QUANTUM COMPUTE

https://www.nextplatform.com/2023/03/23/preparing-for-upcoming-hybrid-classical-quantum-compute/


And of course we need Zettascale or ZettaFLOP so that Metaverse be possible, and as you notice the article below, with of Intel’s Raja Koduri talking, says that the architecture is possible and it will be ready around 2027 or 2030 and it is the following:

An architecture jump of 16x, power and thermals are 2x, data movement is 3x, and process is 5x. That is about 500x, on top of the two ExaFLOP Aurora system, gets to a ZettaFLOP.

Interview with Intel’s Raja Koduri: Zettascale or ZettaFLOP? Metaverse what?

Read more here:

https://www.anandtech.com/show/17298/interview-with-intels-raja-koduri-zettascale-or-zettaflop-metaverse-what


More of philosophy about China and Exascale supercomputers..

China has already reached Exascale - on two separate systems

Read more here:

https://www.nextplatform.com/2021/10/26/china-has-already-reached-exascale-on-two-separate-systems/


And in USA Intel's Aurora Supercomputer Now Expected to Exceed 2 ExaFLOPS Performance

Read more here:

https://www.anandtech.com/show/17037/aurora-supercomputer-now-expected-to-exceed-2-exaflops-performance


But Exascale or Zettascale supercomputers will also allow to construct an accurate map of the brain that allows to "reverse" engineer or understand the brain, read the following so that to notice it:

“If we don’t improve today’s technology, the compute time for a whole
mouse brain would be something like 1,000,000 days of work on current
supercomputers. Using all of Aurora, if everything worked beautifully,
it could still take 1,000 days.” Nicola Ferrier, Argonne senior computer
scientist

Read more here so that to understand:

https://www.anl.gov/article/preparing-for-exascale-argonnes-aurora-supercomputer-to-drive-brain-map-construction


Also Exascale supercomputers will allow researchers to tackle problems
which were impossible to simulate using the previous generation of
machines, due to the massive amounts of data and calculations involved.

Small modular nuclear reactor (SMR) design, wind farm optimization and
cancer drug discovery are just a few of the applications that are
priorities of the U.S. Department of Energy (DOE) Exascale Computing
Project. The outcomes of this project will have a broad impact and
promise to fundamentally change society, both in the U.S. and abroad.

Read more here:

https://www.cbc.ca/news/opinion/opinion-exascale-computing-1.5382505


Also the goal of delivering safe, abundant, cheap energy from fusion is
just one of many challenges in which exascale computing’s power may
prove decisive. That’s the hope and expectation. Also to know more about
the other benefits of using Exascale computing power, read more here:

https://www.hpcwire.com/2019/05/07/ten-great-reasons-among-many-more-to-build-the-1-5-exaflops-frontier/


And I have just said, before reading the following article, the following about Intel company from USA:


"And you have to know that in the quarter, Intel’s sales across all product lines fell by 36.2 percent to $11.721 billion, but i think that Intel CEO Pat Gelsinger is still optimistic and he insists that Intel plan to grow a whopping foundry business will pay off, and he also believes that the PC market will rebound at some point, and Intel CEO Pat Gelsinger is also optimistic about the process and server processor roadmaps, read more here about it: https://www.nextplatform.com/2023/03/31/finally-some-good-news-for-the-intel-xeon-cpu-roadmap/, so i think we have to be optimistic about Intel , and i invite you to read the other following article so that to understand more:


https://www.theregister.com/2023/04/28/intel_28b_loss/ "



So you can read carefully the following new article so that you understand more about this subject of the the recovering of the AMD and Intel CPU Market:

AMD and Intel CPU Market Share Report: Recovery on the Horizon


https://www.tomshardware.com/news/amd-and-intel-cpu-market-share-report-recovery-looms-on-the-horizon


And of course, i have just talked about quantum computers in my below previous thoughts, but i think i have to explain something important so that you understand: So for a parallel computer, we need to have one billion different processors. But in a quantum computer, a single register can perform a billion computations since a qubit of a register of a quantum computer can be both in two states 1 and 0, this is known as quantum parallelism, but connecting quantum computing to "Moore's Law" is sort of foolish -- it's not an all-purpose technique for faster computers, but a limited technique that makes certain types of specialized problems easier, while leaving most of the things we actually use computers for unaffected.


So I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, so i have just talked about artificial intelligence and about my new model of what is consciousness, read about it in my below thoughts, and now i will talk about quantum computing, so i have just looked at the following video about the powerful parallel quantum computer of IBM from USA that will be soon available in the cloud, and i invite you to look at it:

Quantum Computing: Now widely available!

https://www.youtube.com/watch?v=laqpfQ8-jFI


But i have just read the following paper and it is saying that the powerful Quantum algorithms for matrix operations and linear systems of equations are available, so as you notice in the following paper that many matrix operations and also the linear systems of equations solver can be done in a quantum computer, read about it here in the following paper:

Quantum algorithms for matrix operations and linear systems of equations

Read more here:

https://arxiv.org/pdf/2202.04888.pdf


So i think that IBM will do the same for there powerful parallel quantum computer that will be available in the cloud, but i think that you will have to pay for it since i think it will be commercial, but i think that there is a weakness with this kind of configuration of the powerful quantum computer from IBM, since the cost of bandwidth of internet is exponentially decreasing , but the latency of accessing the internet is not, so it is why i think that people will still use classical computers for many mathematical applications that uses mathematical operations such as matrix operations and linear systems of equations etc. and that needs a much faster latency, so i think that the business of classical computers will still be great in the future even with the coming of the powerful parallel quantum computer of IBM, so as you notice this kind of business of quantum computers is also dependent on the latency of accessing internet, and speaking about latency , i invite you to look at the following interesting video about the latency numbers programmer should know:

Latency numbers programmer should know

https://www.youtube.com/watch?v=FqR5vESuKe0



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



More of my philosophy about 3DS ECC RDIMMs and more of my thoughts..


So there is still one important thing that i want to explain ,
so as you notice i have just advised you to buy from the below
cost-effective AMD EPYC Genoa processors with the below good
motherboard for them from Supermicro, and Supermicro motherboards are known for their high quality, reliability, and flexibility, and are used by many companies in various industries, but of course i have explained
that the advantage is also that the it supports 12 memory channels,
but not only that , but the Supermicro motherboard that i am advising you below , supports both DDR5 memory that is not fully ECC and it supports 3DS ECC RDIMM memory that is fully ECC (Error-Correcting Code), but i think that 3DS ECC RDIMM is advantageous , since you have to be professional and use 3DS ECC RDIMMs that are "reliable", so you have to read my following thoughts so that to notice it:


3DS ECC RDIMMs are fully ECC (Error-Correcting Code) memory modules.

"3DS" stands for "Three Dimensional Stacking" and refers to the technology used in these memory modules to stack multiple layers of memory cells on top of each other. This allows for higher memory densities and capacities in a single module.

"ECC" stands for "Error-Correcting Code" and is a type of memory technology that can detect and correct errors that may occur when data is stored in memory. ECC memory is commonly used in servers and other mission-critical systems where data integrity is of utmost importance.

Therefore, 3DS ECC RDIMMs combine the benefits of both 3D stacking and ECC technology to provide high-density, high-capacity memory modules with built-in error correction capabilities.


And you have to read the following article that says the following:

"On-die ECC: The presence of on-die ECC on DDR5 memory has been the subject of many discussions and a lot of confusion among consumers and the press alike. Unlike standard ECC, on-die ECC primarily aims to improve yields at advanced process nodes, thereby allowing for cheaper DRAM chips. On-die ECC only detects errors if they take place within a cell or row during refreshes. When the data is moved from the cell to the cache or the CPU, if there’s a bit-flip or data corruption, it won’t be corrected by on-die ECC. Standard ECC corrects data corruption within the cell and as it is moved to another device or an ECC-supported SoC."

Read more here to notice it:

https://www.hardwaretimes.com/ddr5-vs-ddr4-ram-quad-channel-and-on-die-ecc-explained/


So i will say that the new DDR5's on-die ECC can only detect errors that occur within a cell or row during refreshes, and that it may not be able to correct errors that occur when data is moved from the cell to the cache or the CPU.

DDR5's on-die ECC is designed to detect and correct single-bit errors within a memory cell or row during refresh operations. This is accomplished by adding extra bits to the memory data that are used to detect errors. If an error is detected, the on-die ECC mechanism can correct it by using the extra bits to identify and correct the erroneous bit.

However, if an error occurs when the data is moved from the cell to the cache or the CPU, it may not be corrected by on-die ECC. In such cases, a more robust ECC mechanism may be necessary to ensure data integrity.

Standard ECC, which is used in some DDR4 memory modules, can correct errors not only within the cell but also when the data is moved to another device or an ECC-supported SoC. This is accomplished by adding extra bits to the memory data that are used to detect and correct errors not only within the cell but also during data transfers.

Overall, while DDR5's on-die ECC mechanism can provide some level of error detection and correction, it may not be sufficient for all use cases. So a more robust ECC mechanism, such as standard ECC, may be necessary.


So you have to know why i am also advising you to buy from the below new AMD Epyc Genoa CPUs with the below new motherboard that support 12 memory channels, since you have to know that i also know how to do parallel programming, and i also know how to program supercomputers, and of course that i am a sophisticated inventor too, but you have to also know why i am advising you to buy from the below new AMD Epyc Genoa CPUs with the below new motherboard that support 12 memory channels, since the 12 memory channels are really advantageous for doing parallel programming with arrays and with other data structures etc. but not only that, but there is also the High Performance Linpack (HPL) matrix math test that is not particularly memory bound, but it is CPU bound, but there is also the High Performance Conjugate Gradients (HPCG) and Stream Triad benchmarks that are memory bound, and the HPCG benchmark generates a synthetic discretized three-dimensional partial differential equation model problem, and computes preconditioned conjugate gradient iterations for the resulting sparse linear system, so i think that preconditioned conjugate gradient also takes advantage of the having many more memory channels, and you have to know that Sparse linear system solvers, that also uses and solves with preconditioned conjugate gradient, are ubiquitous in high performance computing (HPC) and often are also the most computational intensive parts in scientific computing codes. A few of the many applications relying on them include fusion energy simulation, space weather simulation, climate modeling, and environmental modeling, and finite element method, and large-scale reservoir simulations to enhance oil recovery by the oil and gas industry.


More of my philosophy of why to choose AMD EPYC Genoa CPU..


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 advising you to buy from the below cost effective new EPYC 7004 Genoa CPUs from USA and to buy the below Supermicro Server Motherboard MBD-H13SSL-N , since it is like an all in one, i mean that it supports many options for both the workstation and the server and it is cost-effective, other than that you have to be smart , since the new AMD Ryzen CPU that support Zen 4 architecture just support 2 channels of memory, so it is why i am advising you to buy the from the below new EPYC Genoa CPUs from USA and to buy the below new motherboard, since when you are using multiple threads in parallel programming you can parallelize to 12 channels, not just to two channels, so it can give much more bandwidth for parallel programming. So read my previous below thoughts so that to understand more:


More of my philosophy about the new AMD EPYC Genoa CPU ..


So if you want to buy a good CPU and a good motherboard , i advise
you to choose from the following cost effective new EPYC 7004 Genoa CPUs from USA and to choose the following motherboard that supports them:


The Supermicro Server Motherboard MBD-H13SSL-N Socket SP5 AMD EPYC 7004 Genoa with DDR5 and that comes in ATX format is ready to buy from here (But notice that i think it is in Canadian dollars at newegg.ca, not in US dollars):

https://www.newegg.ca/p/N82E16813183819?Description=epyc%207004%20cpu&cm_re=epyc_7004%20cpu-_-13-183-819-_-Product


And notice in the above photo that the new Supermicro Server Motherboard MBD-H13SSL-N has 12 channels, so it is a good motherboard for the new AMD EPYC Genoa CPUs from USA. And of course here is the cost effective AMD EPYC Genoa CPUs that you can buy (And of course they support AVX-512):


The AMD EPYC 9124 is a server/workstation processor with 16 cores, launched in November 2022, at an MSRP(manufacturer's suggested retail price) of $1083. It is part of the EPYC lineup, using the Zen 4 (Genoa) architecture with Socket SP5. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Read about it here:

https://www.techpowerup.com/cpu-specs/epyc-9124.c2917#:~:text=The%20AMD%20EPYC%209124%20is,effectively%20doubled%2C%20to%2032%20threads.


And the AMD EPYC 9224 is a server/workstation processor with 24 cores, launched in November 2022, at an MSRP(manufacturer's suggested retail price) of $1825. It is part of the EPYC lineup, using the Zen 4 (Genoa) architecture with Socket SP5. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 48 threads. Read about it here:

https://www.techpowerup.com/cpu-specs/epyc-9224.c2919#:~:text=The%20AMD%20EPYC%209224%20is,effectively%20doubled%2C%20to%2048%20threads.


And the AMD EPYC 9254 is a server/workstation processor with 24 cores, launched in November 2022, at an MSRP(manufacturer's suggested retail price) of $2299, you can read about it here:

https://www.google.com/search?q=epyc+9254+and+price&rlz=1C1FHFK_enCA976CA976&sxsrf=APwXEddie4lphuwFKUvBwu72p8Iqq6M4XA%3A1683388661428&ei=9XhWZLLSGZSoptQPsfq7uAU&ved=0ahUKEwjyoLu5h-H-AhUUlIkEHTH9DlcQ4dUDCA8&uact=5&oq=epyc+9254+and+price&gs_lcp=Cgxnd3Mtd2l6LXNlcnAQAzIECCMQJzoKCAAQRxDWBBCwAzoFCAAQogRKBAhBGABQlAlY-CZgyDNoAXABeACAAX-IAdEBkgEDMS4xmAEAoAEBoAECyAEIwAEB&sclient=gws-wiz-serp



And you can look carefully at the new AMD EPYC™ 9004 Series Server Processor Specifications here:

https://colfax-intl.com/servers/amd-epyc-9004-series-comparison




Also so that to predict more the technological future, you can
read my following thoughts about HBM3:

So, HBM3 offers several enhancements over HBM2E, most notably the doubling of bandwidth from HBM2E at 3.6 Gbps up to 6.4Gbps for HBM3, or 819 GBps of ​​bandwidth per device.


So, i think that increasing memory capacity is getting more difficult, since memory is coming under Moore’s Law pressures, since making increasingly dense as well as increasingly faster memory is getting more and more difficult, and hence the price of memory has not come down as much. Other than that, i think that High Performance Linpack (HPL) matrix math test is not particularly memory bound. But the High Performance Conjugate Gradients (HPCG) and Stream Triad benchmarks are memory bound, and the HPCG benchmark generates a synthetic discretized three-dimensional partial differential equation model problem, and computes preconditioned conjugate gradient iterations for the resulting sparse linear system. So, we don’t yet know what the HBM2e memory on the new Intel Sapphire Rapids CPU will cost, so if the bandwidth of HBM2e is 4X more on the new Intel Sapphire Rapids CPU , i think that it is not enough for supercomputers, since the new Intel Sapphire Rapids CPU costs 3X more, so i think it is why HBM3 that doubles the bandwidth from HBM2E is i think an interesting option and it is why i think that the next Intel CPU after the new Intel Sapphire Rapids CPU has to support HBM3 so that it be an interesting option for supercomputers too.


And here is my other previous thoughts about the future of technology:


I think that we have to look carefully at the future of technology so that to know what will happen, so as you have just noticed , i have just talked about the future of supercomputers that looks bright, since i think it will use the new HBM3, and i also think that the next Intel CPU after the new Intel Sapphire Rapids CPU will support HBM3, and read about it in my above thoughts, since i think that Performance Conjugate Gradients (HPCG) and Stream Triad benchmarks are memory bound, and the HPCG benchmark generates a synthetic discretized three-dimensional partial differential equation model problem, and computes preconditioned conjugate gradient iterations for the resulting sparse linear system, and you have to know that Sparse linear system solvers, that also uses and solves with preconditioned conjugate gradient, are ubiquitous in high performance computing (HPC) and often are also the most computational intensive parts in scientific computing codes. A few of the many applications relying on them include fusion energy simulation, space weather simulation, climate modeling, and environmental modeling, and finite element method, and large-scale reservoir simulations to enhance oil recovery by the oil and gas industry, and of course i am also talking below about what looks like the future of artificial intelligence , so i invite you to read my below interesting thoughts
about it, and now i will talk about the future of the PC industry
and about the future of Microsoft Windows, so I think that the next Windows of Microsoft that will be called Windows 12, will generate more PC sales, since i think that Windows 12 will integrate ChatGPT and will integrate Bing search engine and will integrate DALL-E 2 image generation software into its Bing search engine and will integrate other AI functionalities, but you have to understand that so that to integrate those AI functionalities on the next Windows 12, Microsoft is working closely with Intel and AMD companies so that there powerful next CPUs will allow the next Windows 12 to run the AI functionalities efficiently, so it is why i think that the near future of the PC industry looks bright, since i think that the next Windows 12 will generate more PC sales.


And i invite you to read the following new article so that to
notice it more (And you can translate it from french to english):


https://windows.developpez.com/actu/343725/Windows-12-Microsoft-se-prepare-a-une-integration-plus-profonde-de-l-IA-dans-son-systeme-d-exploitation-Cette-version-pourrait-etre-disponible-l-annee-prochaine-en-2024/


And you have to know that in the quarter, Intel’s sales across all product lines fell by 36.2 percent to $11.721 billion, but i think that Intel CEO Pat Gelsinger is still optimistic and he insists that Intel plan to grow a whopping foundry business will pay off, and he also believes that the PC market will rebound at some point, and Intel CEO Pat Gelsinger is also optimistic about the process and server processor roadmaps, read more here about it: https://www.nextplatform.com/2023/03/31/finally-some-good-news-for-the-intel-xeon-cpu-roadmap/, so i think we have to be optimistic about Intel , and i invite you to read the other following article so that to understand more:


https://www.theregister.com/2023/04/28/intel_28b_loss/



And so that to know more about the future , you have
to read my following thoughts:


And I think that there is a law called Eroom’s law that says that the cost of new medical drug roughly doubles every nine years, so i think that Eroom’s law comes from the basis idea of the fact that it takes 80% of the effort to solve the last 20% of the problems, but of course we have not to be pessimistic about it, since i invite you to read the following very interesting article of the following scientist that is talking about it and that is giving the reasons to be optimistic about it:


The exponential cost of progress

https://lemire.me/blog/2015/08/10/the-exponential-cost-of-progress/


More of my philosophy about HP and about the Tandem team and more of my thoughts..


I invite you to read the following interesting article so that
to notice how HP has been smart by also acquiring Tandem Computers, Inc.
with there "NonStop" systems and by learning from the Tandem team
that has also Extended HP NonStop to x86 Server Platform, you can read about it in my below writing and you can read about Tandem Computers here: https://en.wikipedia.org/wiki/Tandem_Computers , so notice that Tandem Computers, Inc. was the dominant manufacturer of fault-tolerant computer systems for ATM networks, banks, stock exchanges, telephone switching centers, and other similar commercial transaction processing applications requiring maximum uptime and zero data loss:


Read more here:

https://www.zdnet.com/article/tandem-returns-to-its-hp-roots/

More of my philosophy about HP "NonStop" to x86 Server Platform fault-tolerant computer systems and more..

Now HP to Extend HP NonStop to x86 Server Platform

HP announced in 2013 plans to extend its mission-critical HP NonStop technology to x86 server architecture, providing the 24/7 availability required in an always-on, globally connected world, and increasing customer choice.

Read the following to notice it:

https://www.ciol.com/hp-extend-hp-nonstop-x86-server-platform/


And today HP provides HP NonStop to x86 Server Platform, and here is
an example, read here:

https://www.hpe.com/ca/en/pdfViewer.html?docId=4aa5-7443&parentPage=/ca/en/products/servers/mission-critical-servers/integrity-nonstop-systems&resourceTitle=HPE+NonStop+X+NS7+%E2%80%93+Redefining+continuous+availability+and+scalability+for+x86+data+sheet


More of my philosophy about Crucial T700 SSD Preview...


Crucial from USA is the only brand whose parent company, Micron
(Read more here about it: https://www.micron.com/), innovated the NAND2 inside the T700 Gen5 SSD. Micron’s 45-year reputation for industry innovation and leadership backs up the end-to-end quality, reliability, superior testing and OEM qualification in every Crucial SSD.


And Crucial T700 SSD Preview: Fastest Consumer SSD Hits 12.4 GB/s


Read more here:

https://www.tomshardware.com/features/crucial-t700-ssd-preview-fastest-consumer-ssd-hits-124-gbs


And read more here:

https://www.crucial.com/products/ssd/crucial-t700-ssd



More of my philosophy about intelligence and genetics and exponential
progress and more..


So i will say that you have to read the following:

"Genome-wide association studies allow scientists to start to see how
combinations of many, many genes interact in complicated ways. And it
takes huge data sets to sort through all the genetic noise and find
variants that truly make a difference on traits like intelligence."

Read more here on the following interesting article:

https://www.vox.com/science-and-health/2017/6/6/15739590/genome-wide-studies

So i think that it needs huge data sets to detect the "patterns" that
explain human intelligence and such human traits, so i think that the
data, that permits it, is growing exponentially and really fast, and the
computer power is also growing exponentially and really fast, so i think
that we will soon be able to find all the genetic variants in the human
genome that make a difference on traits like intelligence, since i think that we will soon be able to enhance much more the genetics of humans and become much more smart and much more beautiful and such, since of course we will soon become so powerful because the exponential progress of our humanity, and read about it below:

And you have to look in the following video at what is saying the Geneticist Jennifer Doudna that co-invented a groundbreaking new technology for editing genes, called CRISPR-Cas9, and she is a Nobel prize and she believes that the technical obstacles to gene editing have been overcome and the world is rapidly approaching the day when it will be possible to make essentially any kind of change to any kind of human genome, so i think we will soon be able to enhance much more the genetics of humans so that humans become much more smart or much more beautiful or such, and look at the following video so that to notice it, so we have to know how to be patience, and you have to take into account our exponential progress of humanity, read about it in my thoughts below:

The Era of Genetically Modified Superhumans

https://www.youtube.com/watch?v=klo-rSlsju8


And look at the following interesting video about the exponential progress of our humanity:


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

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


And you can read my following thoughts 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 of course here is more of my philosophy about the mathematical modeling of the Jackson network and about mathematics and more of my thoughts, you can read it in the following web link:

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



Thank you,
Amine Moulay Ramdane.