novaBBS - comp.programming.threads - More of my philosophy about artificial intelligence and about productivity and about Hotels and about competitiveness and about the services sector and about economy and about the sectors of the economy and about how USA is vastly a self-sufficient e

Hello,

More of my philosophy about artificial intelligence and about productivity and about Hotels and about competitiveness and about the services sector and about economy and about the sectors of the economy and about how USA is vastly a self-sufficient economy and about USA and about Japan and about the deeper understanding of swarm intelligence and about the deeper understanding of my philosophy and about Deepmind and about the definition of a technical debt and more of my thoughts..

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

I am posting again this post of mine, i am also correcting some of my previous thoughts, but it will be the last post on other than parallel programming and threads programming, so i invite you to read it carefully so that to understand my thoughts:

I think that the next GPT-5 will support multimodality with text and images and videos , but i think it will have a major limitation, and it is that how can we be sure that from text and from videos we can capture correctly the understanding , since text on programming is not experience on programming, so ChatGPT with even version 5 will lack a lot on experience,
also with the limited size of the window of GPT-5 it will not capture correctly
the global patterns, so how can we be sure that it captures the patterns correctly, also the exploration of GPT-5 will be limited by the data , so it will lack a lot on creativity, and there is also other limitations of ChatGPT even at version 5 that i can talk more about , so i say that ChatGPT even at version 5 will be still lacking much, so you can notice it for example by reading the following:

"In programming tests, GPT-4 did worse; the AI struggles with code, it seems. GPT-4 was able to get 31 out of 41 correct solutions in the "easy" Leetcode test, but got just 21/80 on the medium test and only 3 correct questions on the hard test. Meanwhile, its Codeforces rating is a measly 392, placing it below the 5th percentile of users.""

So you can read my new thoughts about artificial intelligence and about the limitations of Large Language Models such as GPT-4 in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/HualRt6YYJI

I invite you to read the following new paper:

Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown

"Despite the rapid pace of innovation in information and communications technologies (ICT) and electronics, aggregate US productivity growth has been disappointing since the 1970s. We propose and empirically explore the hypothesis that slow growth stems in part from an unbalanced sectoral distribution of innovation over the last several decades. Because an industry's success in innovation depends on complementary innovations among its input suppliers, rapid productivity growth that is concentrated in a subset of sectors may create bottlenecks and consequently fail to translate into commensurate aggregate productivity gains. Using data on input-output linkages, citation linkages, industry productivity growth and patenting, we find evidence consistent with this hypothesis: the variance of suppliers' Total Factor Productivity growth or innovation adversely affects an industry's own TFP growth and innovation. Our estimates suggest that a substantial share of the productivity slowdown in the United States (and several other industrialized economies) can be accounted for by a sizable increase in cross-industry variance of TFP growth and innovation. For example, if TFP growth variance had remained at the 1977-1987 level, US manufacturing productivity would have grown twice as rapidly in 1997-2007 as it did—yielding a counterfactual growth rate that would have been close to that of 1977-1987 and 1987-1997."

Read more here:

https://www.nber.org/papers/w31427

And here is my thoughts about the above new paper:

- Introduction to the Issue: The passage begins by stating that despite the rapid advancements in information and communications technologies (ICT) and electronics, the overall growth in productivity in the United States has been disappointing since the 1970s.

- Main Hypothesis: The authors propose a hypothesis to explain this slow productivity growth. They suggest that one reason for this could be an uneven distribution of innovation across different sectors over the past few decades.

- Impact of Sectoral Distribution: The success of innovation in any given industry is influenced by innovations happening in the industries that supply it with various inputs. When productivity growth is concentrated in just a few sectors, this can create problems. It may lead to bottlenecks – situations where the sectors experiencing rapid growth don't have the necessary innovations from other sectors to fully realize their potential, thus limiting overall productivity gains.

- Supporting Evidence: To back up their hypothesis, the authors use data related to various aspects such as input-output linkages (how industries depend on each other for inputs), citation linkages (how industries refer to each other's innovations), industry productivity growth, and patenting.

- Findings: Their analysis provides support for the hypothesis. They find that when the growth of Total Factor Productivity (TFP) – a measure of overall productivity – of suppliers varies widely, it negatively affects the TFP growth and innovation of the industries they supply. In other words, if the suppliers' productivity growth is inconsistent, it can hinder the growth of the industries they provide inputs to.

- Impact on Productivity Slowdown: The authors conclude that a significant portion of the slowdown in productivity growth in the US and other industrialized economies can be attributed to an increase in the variation of TFP growth and innovation across different industries.

- Counterfactual Example: The passage concludes with an illustrative example. If the variance (variation) of TFP growth had stayed at the level it was during a certain period (1977-1987), then the productivity growth in US manufacturing would have been much higher in later periods (1997-2007). The implication is that if innovation were more evenly distributed across sectors, productivity growth would have been higher.

In summary, the paper above suggests that the uneven distribution of innovation across different industries is a key factor in the disappointing productivity growth seen in the US and other industrialized economies since the 1970s. When innovation is concentrated in a few sectors and doesn't spread throughout the economy, it can create bottlenecks that hinder overall productivity growth.

Hilton Hotels & Resorts is a global brand of full-service hotels and resorts and the flagship brand of American multinational hospitality company Hilton. The original company was founded by Conrad Hilton.

And i invite you to look at Hilton Tanger City Center Morocco in the following video:

https://www.youtube.com/watch?v=4n-82FG2KqE

And Hyatt Hotels Corporation, commonly known as Hyatt Hotels & Resorts, is an American multinational hospitality company headquartered in the Riverside Plaza area of Chicago that manages and franchises luxury and business hotels, resorts, and vacation properties.

And Airbnb, Inc. is an American San Francisco-based company operating an online marketplace for short- and long-term homestays and experiences. The company acts as a broker and charges a commission from each booking. The company was founded in 2008 by Brian Chesky, Nathan Blecharczyk, and Joe Gebbia..

Valuation in 2023:

Airbnb: $88 billion
Hilton: $41 billion
Hyatt: $12 billion

Valuation in 2008:

Hilton: $26 billion
Hyatt: $6 billion
Airbnb: $0 (launch year)

So i think i have to talk about another important thing, so notice carefully
the following about Japan:

- Japan has a Lack of labor, so Japan is lacking so many workers, and it is a weakness
- Japan has almost no immigrants from outside, and it is a major weakness
- Japan doesn't have well-developed market of venture capitalists capable
of investing and putting up the necessary money, and it is a major weakness
- And exports as a percentage of GDP of Japan is a problem , so Japan trade relatively little abroad, but not trading abroad does not allow growth in larger foreign markets that could bring in a lot of money etc. , so it is a major weakness.
- And labor productivity in Japan is catastrophic, and it is a major weakness

So i invite you to look carefully at the following video so that you understand it correctly:

Why Japan could rise again as an economic super-power

https://www.youtube.com/watch?v=IY1NFvVBm0U

So we can ask why USA trade really little abroad , and it is not a problem
as for Japan ? , so you have to read my below thoughts about it, since i
think that USA is compensating it with the fact that it is competitive by
attracting the best and the smartest immigrants, so immigration is really
important for USA, so i invite you to read my following thoughts about it:

Exports of USA as a percentage of GDP:
$162 billion (exports) / $23.32 trillion (GDP) * 100 ≈ 0.69%

Imports of USA as a percentage of GDP:
$251 billion (imports) / $23.32 trillion (GDP) * 100 ≈ 1.08%

So i think i am a new philosopher, so i think you are understanding that Japan is having major weaknesses or problems, and you have to read about
it in my below previous thoughts, so it is why i say that immigration is
really important and beneficial to USA , but not only that, but USA has
a well-developed market of venture capitalists capable of investing and putting up the necessary money, so i think that one of the most important
advantage of USA, is that USA has BIG money that also attracts
the really smart immigrants, so i invite you to also read my following thoughts about USA so that you understand more clearly the important advantages of USA:

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."

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 that 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."

So i think that the services sector is so big at 77.6 percent of GDP in USA ,
since i think that we buy services much more often than we buy products, so the services sector earn more in economy, also as i am saying below that economy is not exact calculations, since in economy if you want for example to buy products such a table, so if they are not available, so you can wait for products such as a table or the like to be available, also when you buy such products as a table , you don't buy them often, so it is not as risky, and of course there is also exchange inside the services sectors of USA, so i think it is what "also" permits to enlarge the services sector to 77.6 percent of GDP in USA, and it is why it is working in such configuration of the economy.

I think i am a new philosopher, and i have just looked at the following
new video , and i invite you to look at it:

Youssef Hindi : La guerre des USA contre l'Europe

https://www.youtube.com/watch?v=JBu0L7VvRiQ

So Youssef Hindi is a writer, lecturer, historian of religions and geopolitologist. A specialist in messianism and its historical, political and geopolitical implications, his groundbreaking research has lifted the veil on the origins of modern ideologies, including political Islam.

So Youssef Hindi in the above video is saying that USA is in economic war
with Europe, and he is saying that USA is economically speaking a kind of predator, but i think he is not correct to say so, since i have just said above
that USA is vastly a self-sufficient economy.

I think that ChatGPT is not sufficient as you will notice it from the
new study below, since you also need smart guys like me that explain to
you different subjects on programming and on the genetic algorithm and on artificial intelligence etc. , so i invite you to read the following new study about ChatGPT:

"A recently published study by researchers at Purdue University, USA, found that ChatGPT produces incorrect (but convincing) code about one in two times. The study report states that 52% of ChatGPT answers are incorrect and 77% are verbose. However, the report estimates that OpenAI's AI chatbot was convincing enough to fool a third of study participants. ChatGPT answers are preferred in 39.34% of cases due to their completeness and well-articulated language style. The researchers also report that of the set of ChatGPT answers that were chosen, 77% were wrong."

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

https://intelligence-artificielle.developpez.com/actu/347064/Une-etude-affirme-que-52-pourcent-des-reponses-de-ChatGPT-aux-questions-de-codage-informatique-sont-incorrectes-et-77-pourcent-sont-verbeuses-mais-les-reponses-du-chatbot-sont-convaincantes/

And i invite you to read the other following new article about the same subject:

https://intelligence-artificielle.developpez.com/actu/347237/L-IA-serait-sur-le-point-de-transformer-l-Internet-en-un-veritable-cauchemar-un-outil-a-double-tranchant-pour-le-web-creativite-ou-manipulation/

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

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

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

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

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

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

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

And here is my new question to ChatGPT:

And ChatGPT has just answered me the following:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

And i invite you to read my following previous thoughts:

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

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

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

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

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

You’re thinking about technical debt all wrong

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

And read also the following interesting article about it:

You can’t run away from technical debt

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

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

The Decline of HP...What Happened?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Life is complete nonsense | Albert Camus

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

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

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

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

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

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

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

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

And i invite you to read my following previous thoughts

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

Heraclitus: Union of opposites, change & logos

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

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

https://groups.google.com/g/alt.culture.morocco/c/d_hLS6AnYB0

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

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

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

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

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

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

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

We Already Grow Enough Food for 10 Billion People

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

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

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

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

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

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

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

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

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

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

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

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

https://groups.google.com/g/alt.culture.morocco/c/d_hLS6AnYB0

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

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

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

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

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

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

More of my philosophy about Arm Vs. X86 ..

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

Overhyped Apple Silicon: Arm Vs. X86 Is Irrelevant

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

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

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

Subject	Replies	Author
More of my philosophy about artificial intelligence and about By: Amine Moulay Ramdane on Sun, 13 Aug 2023	0	Amine Moulay Ramdane

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devel / comp.programming.threads / More of my philosophy about artificial intelligence and about productivity and about Hotels and about competitiveness and about the services sector and about economy and about the sectors of the economy and about how USA is vastly a self-sufficient e