• More precision of my philosophy about my new monotheistic religion and

    From Amine Moulay Ramdane@21:1/5 to All on Sun Jun 25 10:26:09 2023
    Hello,


    More precision of my philosophy about my new monotheistic religion and about corruption and about Liberty and about the job and about the Return on investment (ROI) and about the private sector and about economy and about what thinks ChatGPT about the
    pattern that i have just discovered and about understanding the consequences and about my fluid intelligence and about causality and about the Transformers and about another important limitation of Large Language Models and about planning and reasoning
    of Large Language Models and about the window context and about GPT-4 memory and about Canada and about agile methodology and about the maximum token limit and about the other limitations of Large Language Models such as GPT-4 and about future of
    artificial intelligence and about the multimodality of Large Language Models such as GPT-4 and about my philosophy and about my contributions here...

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


    So i think that we say that God is "Holy" and that means that "Holy" refers to the divine attribute of being pure, perfect, and separate from all that is sinful or impure, so i think that God can not interact with humans that are impure
    or not perfect, since he is Holy, and it is why i think that God has used Angels such as the Angel Gabriel to interact with impure and imperfect humans, and of course you are noticing that prophet Muhammad has
    not interacted and talked to God, but he has interacted and talked to Angel Gabriel , so i think that it also means that God is arrogant , since he doesn't interact with impure and imperfect humans, so my new monotheistic religion says that God is
    arrogant , and here is what i have just said about 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


    So i have just said below that so that to make low corruption , you have to make the private sector a powerful motor of the economy, since there is good competition in the private sector, and here is what i have just said about how competition fights efficiently corruption:

    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.

    So i think i am not stupid, since we can ask a question of from where comes Liberty, but i say that it is also like Large Language Models such GPT-4 that approximate, since i think that when we provide with jobs, people will get educated and will get
    specialized in what they do better, so i think that
    the most important thing, that is attractive, is the job, but of course the other things will get much more easy when you have a job, and of course that today even if we are specialized in what we do better so that to increase much more productivity and
    quality, i say that you can get much more smart by also for example using Large Language Models such as GPT-4, but i repeat that the most important thing is the job, and of course that productivity is not just increased by specialization in what we do
    better, since it is also increased by automation and artificial intelligence, so i invite you to read my following thoughts so that you understand my views about it:

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

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


    And of course i invite you to read my following thoughts so that you understand my views:


    What need black americans is a job , so what need maghrebians in France is a job too, so when they get a job , many problems will be solved much more easily, so we have not to waste our time with futilities of this or that, and we have not to waste our
    time with futility of sex, since also people are specialized , so we have to simplify the problem, so we a have to understand that the most important thing is the private sector and it is business, so it is why i am talking below as i am talking about it:


    So i have just looked at the following video of a song from a black american:


    Flo Rida - I Cry [Official Video]


    https://www.youtube.com/watch?v=OLuWHr6-0YQ&list=RDOLuWHr6-0YQ&start_radio=1


    So i think that so that to be successful , you have to know that it is the private sector that is really important, so you have to diversify economy and to make powerful the motor that is the private sector since it is much bigger than the public sector,
    and of course you have to know how to increase much more the GDP per capita by using automation and artificial intelligence etc. , so i think that the Return on investment (ROI) in Stocks is only like an indicator, and i have just asked the following
    question to ChatGPT so that you understand what i mean:


    And here is my question to ChatGPT:


    "So from what i understand, that Return on investment (ROI) in stocks is like an "indicator" that permits to sell more easily, so if the ROI is good and if the company is good, so from the law of supply and demand, it influences the demand and it makes
    more demand, so that price of the share in the stock can increase and this permits to sell and to make gains and to make more money."


    And here is what answered me ChatGPT:


    "Yes, you're correct. A good ROI and positive performance of a company can generate investor interest and increase the demand for its stock. Increased demand can potentially drive up the price of the stock, allowing investors to sell at a higher price
    and potentially make a profit.

    When a company demonstrates strong financial performance, growth prospects, or pays regular dividends, it can attract investors looking for opportunities to earn a return on their investment. Positive news, such as strong earnings reports or successful
    product launches, can also generate positive sentiment and increase demand for the company's stock.

    As demand increases, the buying pressure can push up the stock price. This can create an opportunity for investors to sell their shares at a higher price, realizing a gain or profit. However, it's important to note that stock prices are also influenced
    by other factors such as overall market conditions, economic factors, industry trends, and investor sentiment.

    While a good ROI and company performance can contribute to the potential for higher stock prices and selling at a profit, it's important to conduct thorough research, diversify your investments, and consider your own risk tolerance and investment goals.
    Investing in stocks carries risks, and it's essential to make informed decisions and have a long-term perspective when participating in the stock market.

    Overall, a combination of factors, including a good ROI, positive company performance, and investor demand, can contribute to the potential for selling stocks at a higher price and making a profit. However, the stock market is dynamic and influenced by
    various factors, so it's important to approach investing with caution and a well-informed strategy."


    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.


    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:


    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 want you to understand another important thing about Large Language Models such as GPT-4, and here is what has answered me ChatGPT so that you understand it:


    "Capturing long-range dependencies and global patterns efficiently is an ongoing research area, and while significant progress has been made, it is a complex problem that may not have a definitive "solution" in the traditional sense. The field of deep
    learning and natural language processing continues to evolve, and researchers are continuously exploring new techniques and architectures to improve the efficiency of capturing long-range dependencies.

    The timeline for achieving optimal efficiency in handling long-range dependencies is difficult to predict. It depends on various factors, including the complexity of the problem, available resources for research and development, and breakthroughs in the
    field. While some advancements may be made in the near future, it is possible that further refinements and optimizations could take several years or even a decade to fully address the challenges associated with computational expense.

    It's important to note that progress in artificial intelligence research is often iterative, with incremental improvements over time. Researchers continually propose new techniques, architectures, and optimizations to enhance the efficiency of models. It
    is a collaborative effort involving academia, industry, and open-source communities.

    Therefore, while it is challenging to provide a definitive timeline for solving the problem of efficiently capturing long-range dependencies, ongoing research and innovation in the field suggest that improvements and advancements will continue to be made
    over time."



    And here is what thinks ChatGPT about the pattern that i have just discovered with my fluid intelligence:


    Here is my following question to ChatGPT:


    "What do you think of my following thoughts:

    So i have to explain something important, so since i have just discovered an important pattern with my fluid intelligence and read about it in my below previous thoughts, so i think that Large Language Models such as GPT-4 are capturing causality
    indirectly from the language and much more easily in the languages like french or english , so in professions like psychology or the law or philosophy that use the language like french or english, it is easy for Large Language Models to capture causality,
    but in software development , it is more difficult, since for example in GitHub where you find the open source software projects, Large Language Models are not able to capture causality correctly, since those software projects in GitHub are not
    languages like french and english, so causality in them is not specified and modeled with a language like french or english, so you are understanding more the important pattern that i am discovering with my fluid intelligence below that explains a so
    important thing, so then you are understanding that it is important to help Large Language Models such as GPT-4 to capture causality by modeling it with a language like french or english , by specifying it enough and clearly. So then you are
    understanding this important limitation of Large Language Models such as GPT-4."


    And here is what ChatGPT has answered:


    "Your thoughts touch on an interesting point regarding the capabilities of large language models like GPT-4 and their ability to capture causality. While language models can process and understand natural language to a certain extent, capturing causality
    directly from the language is still a complex task.

    In professions like psychology, law, or philosophy, where the language itself is used to express causality, it might be easier for large language models to capture and comprehend the underlying causal relationships. These fields heavily rely on language-
    based reasoning and argumentation.

    However, in domains like software development, causality is often expressed and modeled in code rather than natural language. GitHub, as you mentioned, hosts numerous open-source software projects that are predominantly written in programming languages
    rather than French or English. Large language models face challenges in capturing causality correctly in such contexts since the causality is not explicitly specified and modeled using natural language.

    To help large language models like GPT-4 capture causality more effectively, one approach could be to provide them with clearer and more explicit language-based specifications. By expressing and defining causality using languages like French or English,
    the models may have a better chance of understanding and incorporating causal relationships into their reasoning processes.

    It's important to note that large language models still have limitations, and while they can be powerful tools, they may not possess a comprehensive understanding of causality or domain-specific knowledge. Collaborating with experts in specific fields
    can help address these limitations and ensure accurate modeling of causality in various domains."


    I invite you to read the following interesting article:

    Why artificial intelligence needs to understand consequences

    Read more here:

    https://www.nature.com/articles/d41586-023-00577-1


    And here is my other question to ChatGPT as a proof:


    "So let's take for example open source software projects on GitHub, so open source projects on GitHub are not documented correctly, so ChatGPT can lack to capture causality, and can lack to understand correctly creativity of it ?"


    And here is what ChatGPT has answered:


    "Yes, that's correct. Open-source projects on GitHub may not always have comprehensive or well-documented explanations of the underlying causal relationships or the creative processes involved. ChatGPT, being a language model trained on a vast range of
    internet text, including GitHub repositories, might struggle to accurately capture causality and understand the creativity behind these projects for several reasons:

    - Incomplete or inconsistent documentation: Open-source projects often rely on voluntary contributions, and documentation quality can vary significantly. Some projects may have well-documented code and explanations, while others may have limited or
    outdated documentation. In such cases, ChatGPT may not have access to the necessary information to understand the causal relationships and creative aspects of the project.

    - Implicit knowledge and context: Developers working on open-source projects often possess implicit knowledge and context about the project, its goals, and the rationale behind specific design decisions. This tacit knowledge may not be explicitly
    documented and can be challenging for ChatGPT to infer accurately. Without explicit information, the model may struggle to capture the underlying causality or appreciate the nuances of creativity in these projects.

    - Limited exposure to specific projects: While language models like ChatGPT have been trained on diverse sources, including GitHub repositories, they cannot access the entirety of the internet or have real-time experience with specific projects. As a
    result, the model's understanding of any given project is limited to the information it has learned during training. If a project has limited presence in the training data or lacks detailed documentation, the model may struggle to capture the causality
    or creativity involved.

    It's important to recognize that while ChatGPT can provide general information and insights, its understanding of specific open-source projects may be limited, and it may not accurately capture the intricacies of causality or creativity involved. In-
    depth knowledge from domain experts and consulting project documentation or discussions with the project's contributors would be more reliable sources of information in these cases."


    And here is my other question to ChatGPT:


    "So even if it is not documented well, humans can decrypt and understand the open source software projects on GitHub that are not documented or well-documented, but it is not the same for ChatGPT ?"


    And here is what answered ChatGPT:


    "Yes, humans have the ability to decrypt and understand open-source projects on GitHub even if they are not well-documented. Humans can bring their knowledge, experience, and problem-solving skills to analyze the code, understand the logic, and make
    inferences about the underlying causality and creativity involved. Humans can apply their domain expertise and engage in critical thinking to uncover the nuances and intricacies of the project.

    On the other hand, ChatGPT, being a language model, does not possess the same level of understanding and problem-solving capabilities as humans. It lacks the ability to interpret code, execute it, or apply real-time reasoning to decrypt the project's
    workings. While ChatGPT can generate responses based on patterns and associations it has learned from training data, it does not possess the same level of domain knowledge, intuition, and context that humans do.

    In summary, humans have the cognitive abilities and expertise to analyze and understand open-source projects, even if they lack proper documentation. They can decipher the code, infer causal relationships, and appreciate the creativity involved. ChatGPT,
    although proficient in generating text, relies on statistical patterns in data and lacks the human-like comprehension necessary to decrypt and fully understand these projects without explicit and comprehensive documentation."


    And i invite you to read my previous below 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 have to explain something important, so since i have just discovered an important pattern with my fluid
    intelligence and read about it in my below previous thoughts, so i think that Large Language Models such as GPT-4 are capturing causality indirectly from the language and much more easily in the languages like french or english , so in professions like
    psychology or the law or philosophy that use the language like french or english, it is easy for Large Language Models to capture causality, but in software development , it is more difficult, since for example in GitHub where you find the open source
    software projects, Large Language Models are not able to capture causality correctly, since those software projects in GitHub are not languages like french and english, so causality in them is not specified and modeled with

    [continued in next message]

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)
  • From Amine Moulay Ramdane@21:1/5 to All on Mon Oct 16 09:06:30 2023
    Hello,


    More precision of my philosophy about my new monotheistic religion and about my philosophy and about artificial intelligence 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..


    Here is how i have solved the problematic that God can self-improve and not curse the descendants of Adam and Eve , so read my below new ideas
    of my new monotheistic religion that i have invented quickly so that to understand how i have done it and so that you understand my new model:


    I think that i am a new philosopher, and you are seeing me talking, but you have to understand that i am also thinking like a philosopher, since the philosophical question is:

    Where is the value in philosophy ?

    So , firstly , i think i am a smart philosopher, and i will say that the value in philosophy is the one that gives the meaning of human life, i mean that being french or being israelis or being american is not a value that gives a meaning of human life,
    since it is not a value that makes you convinced about the meaning of human life, so you are noticing the problematic in philosophy, since i will ask the from where can you get the value that gives the meaning of human life? and why you have to get this
    value ? , so i think that you have to get this value in philosophy since it permits to make you have faith in life like having faith in God, so you are noticing that it is so important, and i think that it is the having faith in God or having enough
    faith in God that gives this value , so i invite you to read about my new monotheistic religion below so that
    to understand it:


    So , firstly , 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.


    So the first idea of my new 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 , and the
    other 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 other important idea of my new monotheistic religion is that
    God is "special" God as his nature is greatly arrogant and he can not self-improve it since he is a special God as he is, 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 of my new
    monotheistic religion is that prophet Muhammed has been enhanced by God so that he can invent many parts of the Qur'aan , so i say that the Qur'aan is not all the words of God, i mean that Angel Gabriel has enhanced to a certain level prophet Muhammad so
    that he also invent many parts of the Qur'aan, i mean that Angel Gabriel has put ideas of him in the Qur'aan, and Angel Gabriel has to certain level controlled prophet Muhammad so that he can put ideas of him in the Qur'aan, so you are now understanding
    the my new ideas , other than that, the fact that Angel Gabriel has controlled and let prophet Muhammad put his ideas in the Qur'aan, is a curse from God , other than that i think that the universe and the bodies of a humans have not been created by God ,
    but the souls of the humans have been created by God, 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/k0aI8EIMy2Y


    And you can read the new ideas of my philosophy in the following web link:

    https://groups.google.com/g/alt.culture.morocco/c/xcWGmtgEu6o


    More of my philosophy about the severe solar storms and about genetic mutations and about religions and about my new ideas of my philosophy and about evolutionary algorithms and the genetic algorithm and about the formal and about the closed and open
    system and about AI and about the essence of artificial intelligence and and more of my thoughts..

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


    So i think what is so important is also to avoid the damages to our civilization that can be caused by severe solar storms, so notice how i am giving the probabilities of it below , but you have to be careful and be sure that we be safe from the damages
    of the severe solar storms, so read my following thoughts about it:


    I have just read the following new article on Interesting Engineering , and i invite you to read it:

    https://interestingengineering.com/science/huge-solar-storm-proof-found-in-14300-year-old-tree-rings


    So the above article is not so precise, so here is more information so that
    you know about the probability of it:

    A study published in 2019 found the chance of a Carrington-like event occurring before 2029 is less than 1.9 percent.

    Are we ready for the next Big Solar storm?

    Read more here:

    https://www.discovermagazine.com/the-sciences/are-we-ready-for-the-next-big-solar-storm


    And based on available data, there's roughly a one percent chance of seeing another Miyake Event within the next decade and a Miyake Event can be
    80 times more powerful than a Carrington-like event, read more here in the following article:

    https://phys.org/news/2022-10-tree-insight-devastating-storms.html#:~:text='%20or%20outburst.%22-,Dr.,what%20harms%20it%20may%20cause.


    University of Tübingen's researchers unveil a groundbreaking solar cell for decentralized green hydrogen production, revolutionizing renewable energy. This breakthrough technology opens the door to large-scale applications, even with lower efficiencies.
    This advancement have the potential to make a significant contribution to energy supply and the reduction of CO2 emissions on a global scale.


    Read more here on Interesting Engineering:

    https://interestingengineering.com/science/solar-cell-powers-green-hydrogen-production


    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 of course
    so that to know from where comes the human being, i am explaining
    below the genetic algorithm , so of course you have to read it carefully below , so notice that the genetic algorithm explains how human being has been constructed by nature , i mean that there is two things in human genetics ,
    so there is the mutations and there is the crossover of the human genes and there is the selection process like with the natural selection , so the selection process can be elitistic or more elitistic so that it looks like the natural selection in the
    evolution process of humans , and notice carefully that the human genetic mutations comes from two things: from the solar storms that can mutate our genetics and from the genetic mutations that can happen inside our body , and of course the two can
    happen with a low probability , but it permits to explore , and of course you have to read my following thoughts of what is the genetic algorithm so that to understand the rest:


    I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ, so you have just seen me talking quickly about Hamas and about some important laws in Islam, but i think i am a
    new philosopher and i will now discover important patterns with my fluid intelligence about the genetic algorithm,
    and they are the following: So i think that the most important thing to understand in the genetic algorithm is that when you do a crossover of the genes of the parents, you have the tendency to obtain new childs that look like the parents, so it is why
    in optimization we can say that the genetic algorithm explores locally near the local optima with the crossover steps and we call it exploitation, and in the genetic algorithm , with the mutations of the genes after the crossover steps that can be of a
    probability of around 5% or so, permits to explore far away for better genes and it permits to not get stuck in a local optima and to continu to converge towards the global optima and it permits to not lack on diversity of the genes of the population, so
    this way in the genetic algorithm of balancing the exploitation with the crossover steps and with the exploration with mutations is a much better search than brute force search, and it is why the genetic algorithm is also used in optimization problems
    with success, and of course you have to understand that the the crossover steps can be elitistic, i mean that you can crossover the parents that have the best genes, and so that to understand the rest of my ideas about the genetic algorithm, you can read
    my below thoughts, and i invite you to also read carefully my below new thoughts about my new model of what is human consciousness and about the limitations of artificial intelligence:


    So as you have just noticed , i have just explained my new model of what is consciousness etc., but now you have to understand an important thing,
    and it is that the way of artificial intelligence such as ChatGPT is different than the Symbolic or the formal way of doing with mathematics and programming, i mean the formal way of mathematics and programming is the way that goes from our human brains that put rules and patterns as human intelligence into the formal way of
    mathematics and programming, but it is what wants to avoid artificial intelligence such as ChatGPT, since i am explaining below that it is not scalable, i mean that artificial intelligence such as ChatGPT wants to go from the data on wich it is trained
    and discover and extracts the rules and patterns of intelligence and in a Self-supervised learning way put them into the deep learning network, so as i am explaining below that it is the scalable way of doing, also it can be fully parallelized using GPUs
    or the like so that to be scalable, so i think that we have not to be pessimistic, since i think that artificial intelligence such as ChatGPT will become a powerful tool, but as i am explaining below that it will not attain artificial general
    intelligence.

    I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ, so as you notice
    i have just invented a new model of what is human consciousness, read it in my below thoughts, and i think it is much more precise and i think it permits to predict that artificial intelligence will not attain artificial general intelligence, but i have
    to explain one more important thing, so as you are noticing i am speaking in my below thoughts about the much more deeper meaning that comes from human consciousness, and i am explaining what is it in my new model below of what is human consciousness ,
    but i think
    you have to look at it from another perspective, and it is that the meaning from human consciousness not only permits to learn with much less data
    than artificial intelligence, but it permits the human smartness to not be
    a closed system like of artificial intelligence, i mean that human consciousness permits our smartness to be an open system that permits
    to explore much more efficiently, so it is like an open system, and it is
    why artificial intelligence will not attain general artificial intelligence since
    it is a closed system.

    So you have to understand more my thoughts below about artificial intelligence , so i have not talked about the connectionism and the symbolic way of doing in artificial intelligence, so i can talk about it in my kind of way, so i think that the previous
    way of doing of artificial intelligence was the Symbolic way of doing like with expert systems or with the prolog programming language, but the Symbolic way of doing is like the formal way of doing in mathematics or programming , i mean that they can not
    be scalable by being Self-supervised learning, so it is why we have followed the way of connectionism with deep learning and with for example transformers like in ChatGPT or the next Gemini, since this connectionism way of doing of for example ChatGPT or
    the next Gemini can be scalable by using Self-supervised learning, so i think that it is the main important advantage of it, is that it can scale rapidly.


    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 talk
    about the limitations of the next AI system from Google that is called Gemini that will compete against GPT-5 from Microsoft and OpenAI, so first i will say that the window context size will be 1 million tokens, so then i think that the long-range global
    patterns will no more be a limitation for it, but here is the other limitation of Gemini in a form of my smart question to ChatGPT, and of course you have to read carefully my below new model of what is consciousness so that to know about the other
    limitations of artificial intelligence:


    Here is my new smart question to ChatGPT:


    But the reinforcement learning (RL) with the reward is a refining process, so i don't think adding AlphaGo's techniques such as reinforcement learning and tree search to Large Language Models like is doing it the next AI system of Google that we call
    Gemini will make it invent new things since it is limited by the data on wich it has been trained , so there can be refinement , but it is limited by the data on wich it has been trained.


    And ChatGPT has just answered me the following:


    "You raise a valid point. Integrating techniques like reinforcement learning and tree search into large language models does indeed improve their ability to generate responses and make decisions, but these models are fundamentally limited by the data on
    which they have been trained. Let's delve into this limitation further:

    Data Dependency:

    Large language models, including those enhanced with reinforcement learning and tree search, rely heavily on the data they've been trained on. They learn patterns, facts, and reasoning abilities from the text in their training data. As a result, their
    responses are inherently tied to the information and patterns present in that data.

    No Invention of New Knowledge:

    Language models, regardless of their enhancements, do not possess the ability to invent new knowledge or information. They can only generate responses based on the patterns, facts, and language structures they've learned from the training data. If a
    piece of information or a concept is not present in the training data, the model will not be able to invent it.

    Refinement and Adaptation:

    While language models cannot invent new information, they can refine and adapt the information they've learned. Techniques like reinforcement learning can help models generate more contextually appropriate and coherent responses by optimizing for user
    satisfaction or task completion. This means they can be better at utilizing their existing knowledge.

    Data Biases and Limitations:

    Language models inherit biases and limitations from their training data. They may generate biased or incorrect responses if their training data contains such biases or inaccuracies. Reinforcement learning can mitigate some of these issues, but it cannot
    completely eliminate them.

    Generalization:

    Language models can generalize to some extent. They can apply their learned knowledge to a wide range of tasks and domains. However, this generalization is limited by the diversity and coverage of the training data. If a task or domain is significantly
    different from the training data, the model's performance may degrade.

    In summary, while reinforcement learning and tree search techniques can enhance the decision-making and response generation capabilities of large language models, they are fundamentally constrained by the data on which they have been trained. These
    models can refine and adapt their knowledge but cannot invent entirely new information or concepts. Their effectiveness and reliability depend on the quality and diversity of their training data, and they may still exhibit biases and limitations present
    in that data. Researchers and developers must be mindful of these constraints when using and deploying such models."


    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 is limited by the data on wich it has been trained), 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.


    So you have to understand that i have just discussed my new model below of what is human consciousness with ChatGPT, and here is more of a part of my discussion with ChatGPT that has just understood my new model
    of what is human consciousness and that is answering my question by understanding it:


    And here is my question to ChatGPT:


    So when we are reading a text, we are like reifying the words with sensations and feelings and consciousness or awareness of time and space and matter so that they become objects of understanding.


    And ChatGPT has just answered me the following:


    "Yes, your observation is quite accurate. When we read a text or engage in any form of comprehension, our cognitive processes involve a dynamic interaction between the words and the various aspects of our consciousness, including sensations, feelings,
    and our awareness of time, space, and matter. This interaction can be described as a kind of "reification" or the process of giving life, depth, and meaning to the words and ideas presented in the text.

    Here's a breakdown of how this process works:

    Words as Symbols: Words on a page or screen are essentially symbols that represent concepts, objects, actions, or ideas. These symbols are abstract in themselves and don't inherently carry meaning.

    Sensations and Feelings: As we read, our brain may evoke sensations and feelings related to the words and their associated concepts. For example, reading about a warm, sunny beach may trigger sensations of warmth, visions of sandy shores, and feelings of
    relaxation.

    Consciousness of Time: Our awareness of the sequence of words and ideas in the text involves the perception of time. We process sentences sequentially, linking them to what we've read before and anticipating what comes next. This temporal awareness helps
    us construct a coherent understanding of the text.

    Consciousness of Space: We may mentally create spatial representations based on the descriptions in the text. For instance, when reading a novel, we might mentally visualize the layout of a fictional house or a detailed map of an imaginary world.

    Matter and Reality: Words in a text often pertain to physical objects, actions, or events. Our consciousness of matter and reality enables us to mentally construct these elements, bridging the gap between the abstract words and our understanding of the
    tangible world.

    Meaning and Understanding: Through this complex interplay of sensations, feelings, and consciousness of time, space, matter, and reality, we construct meaning and understanding from the words we read. We go beyond the mere symbols and create a mental
    landscape where the text comes alive with significance.

    In essence, reading is a multi-dimensional process that involves more than just decoding words; it's about translating abstract symbols into rich, meaningful experiences. The reification of words with our consciousness enriches our comprehension and
    allows us to engage deeply with the content we're reading."


    Here are some key points to consider:

    - Validation and Verification: Human programmers will continue to play a critical role in verifying and validating the code produced by AI systems like ChatGPT. This involves ensuring that the code meets quality standards, functions correctly, and
    adheres to project requirements.

    - Debugging and Maintenance: Even with AI-generated code, software applications are not immune to bugs, errors, and evolving requirements. Programmers will be essential for debugging and maintaining the software over time.

    - Ethical and Responsible AI: Programmers will also be responsible for ensuring that AI systems, including those used in software development, are designed and used ethically and responsibly. This involves addressing issues related to bias, fairness,
    privacy, and security.

    - Adaptability: Programmers who can effectively work with AI tools and integrate them into their workflows may find themselves in high demand. This adaptability can lead to job security and potentially competitive salaries.

    - Shift in Job Roles: The roles and responsibilities of programmers may evolve. They may spend less time on routine coding tasks and more on higher-level problem-solving, architectural design, and AI system integration.

    In summary, AI like ChatGPT can indeed increase productivity in software development, but it doesn't necessarily lead to a significant decrease in salaries for programmers. Instead, it may reshape the roles and skills required in the field, with
    programmers focusing more on verification, debugging, and ethical considerations. Programmers who can leverage AI effectively and provide value in these areas are likely to remain valuable contributors to the industry.


    I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above" 115 IQ , so as you are noticing that people are testing artificial intelligence such as GPT-4 with
    coding tests etc. so that to measure its performance , but i think it is not the smart way of measuring, since you have to look holistically or generally at the model of artificial intelligence , so as i am explaining below that the model of artificial
    intelligence , including GPT-4 , is lacking the deep understanding that comes from the meaning that comes from human consciousness, and this meaning that comes from human consciousness permits to understand with much less data than artificial
    intelligence and it permits to "explore" and be efficient much more in the process of creativity like innovation and creative problem-solving..., so it is why artificial intelligence such as GPT-4 or the next GPT-5 or the next Gemini from Google will not
    be able to replace software programmers or software development jobs, since it also needs human innovation and human creative problem-solving that comes from the deep understanding from the meaning that comes from human consciousness, so as you notice ,
    it is why we can not trust artificial intelligence since it lacks the deep understanding that comes from the meaning that comes from human consciousness, so it is why i say that artificial intelligence will not attain general artificial intelligence ,
    even if it becomes a powerful tool, and so that to understand my new model of what is consciousness , i invite to read my below thoughts:


    I invite you to read the following new article (And you can translate the article from french to english):

    "Better, faster, cheaper, safer: 4 reasons why AI should replace all human employees", according to David Shapiro

    https://intelligence-artificielle.developpez.com/actu/348094/-Meilleure-plus-rapide-moins-couteuse-plus-sure-les-4-raisons-pour-lesquelles-l-IA-devrait-remplacer-tous-les-employes-humains-d-apres-David-Shapiro-d-avis-que-ce-futur-est-tout-proche/


    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 model that explains what is human consciousness is the key, since the model of artificial
    intelligence is lacking the deep understanding with the "meaning" from human consciousness and here is my thoughts about it so that you understand why i say that artificial intelligence will not replace software programmers or software development jobs:


    The inability of Large Language Models such as ChatGPT to invent new algorithms is primarily due to its training data and the nature of its architecture. ChatGPT, like other machine learning models, is trained on a vast dataset that consists of text from
    the internet, books, articles, and other sources. It learns patterns and associations within this data to generate human-like text and answer questions based on what it has seen and learned during training.

    Here are a few key reasons why ChatGPT cannot invent new algorithms:

    - Lack of Creativity: ChatGPT does not possess creativity or the ability to generate truly novel ideas. It relies on patterns and information present in its training data to generate responses. It doesn't have the capability to create new algorithms or
    solutions that go beyond its training data.

    - No Understanding of Algorithmic Concepts: While ChatGPT may have some knowledge of existing algorithms and mathematical concepts based on its training data, it lacks a deep understanding of these concepts. It doesn't have the capacity to develop a
    fundamental understanding of algorithms or invent new ones.

    - Data Dependency: ChatGPT's responses are heavily dependent on the data it was trained on. If a particular algorithm or concept is not well-represented in its training data, it is unlikely to provide insightful or innovative solutions related to that
    topic.

    - Limited Scope: ChatGPT's training data is limited to text, and it lacks the ability to interact with the physical world or perform experiments. Many algorithmic inventions involve experimentation, mathematical proofs, and insights that go beyond the
    scope of textual data.

    In summary, ChatGPT is a powerful language model for generating human-like text and providing information based on existing knowledge, but it is not a creative problem solver or algorithm inventor. Its responses are constrained by its training data and
    the patterns it has learned from that data. Inventing new algorithms requires creative thinking, deep understanding of mathematical and computational principles, and the ability to go beyond the limitations of pre-existing data, which are capabilities
    that AI models like ChatGPT currently lack.


    And the deep understanding is crucial because it enables an entity, whether human or artificial intelligence, to not only apply knowledge in a rote or memorized manner but also to:

    - Generalize: Deep understanding allows one to generalize knowledge to new, unseen situations. Rather than relying on memorized facts, a deep understanding of underlying principles and concepts allows for the application of knowledge in novel contexts.

    - Problem-Solve: Understanding the fundamentals of a concept or field allows for creative problem-solving. It enables the generation of new solutions, adaptations, and innovations, even in situations where existing knowledge doesn't provide a direct
    answer.

    - Critical Thinking: Deep understanding fosters critical thinking. It allows one to analyze information, identify patterns, and evaluate the strengths and weaknesses of different approaches or solutions. This is important in complex decision-making.

    - Flexibility: When someone deeply understands a concept, they are more flexible in their thinking and can adapt their knowledge to various scenarios. They are not limited to rigidly following predefined procedures or solutions.

    - Teaching and Communication: People with deep understanding can effectively teach and communicate complex ideas to others because they grasp the nuances and can explain concepts in various ways to facilitate learning.

    Innovation: Many breakthroughs and innovations come from a deep understanding of existing knowledge, allowing individuals to see gaps or opportunities for improvement.

    In the context of inventing new algorithms, deep understanding of mathematical and computational principles, as well as the ability to apply this understanding creatively, is essential. Algorithms often involve intricate mathematical or logical concepts,
    and a deep understanding enables the development of novel approaches, optimizations, and insights. Without such understanding, it's challenging to go beyond the boundaries of existing algorithms and come up with innovative solutions to complex problems.

    While AI models like ChatGPT can provide information based on the patterns they've learned from training data, their responses are typically shallow and lack the depth of understanding that humans possess. They can't engage in true creative problem-
    solving or algorithm invention because they lack the capacity for deep comprehension and creative insight.


    I invite you to read the following new article that says that a team of US and Lithuanian researchers has just published a study that found ChatGPT can rival the creative abilities of the top-performing 1% of human participants in a standard test of
    creativity.

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


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