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Read again, i correct about more philosophy about the reification and human consciousness.. - 1 Update
More philosophy about the reification and human consciousness.. - 1 Update
More precision about more philosophy about the essence of human smartness.. - 1 Update
More philosophy about the essence of human smartness.. - 1 Update
More precision about more philosophy about human smartness and about artificial intelligence.. - 1 Update
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Read again, i correct about more philosophy about the reification and human consciousness..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 06:48PM -0700

Hello,

Read again, i correct about more philosophy about the reification and human consciousness..

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

So i can ask a philosophical question of:

What is consciousness ?

I will give you a smart example so that you understand:

So when you feel with your hands and brain that a the table is solid,
so this feeling gives a "meaning" that guides our thinking,
so our human senses are doing the same, they are feeling what's
a moving object and feeling what's speed and feeling what's a fast speed or not fast speed and feeling what's an object that is before or after another object etc. and i say that those feelings with our senses give the meanings and it gives consciousness of time and space and matter, so our feelings of our human senses give life or human awareness or human consciousness that guides smartness, and notice that i am saying that an idea is both smartness and meaning , and notice that in mathematics
we can have the following formula of a derivative:

Derivative_of(2*x) = x

So this formula is a smartness, but the formula has also a "meaning"
given by our human senses , and i also define the self-awareness like a human sense that feels the oneself, so now you are understanding that an algorithm or running algorithm is like a formula that has not the meaning that is understood by a human, so artificial intelligence has a disadvantage since it is not guided by this meaning that plays the role of an objective function that permits to optimize correctly.

More precision about more philosophy about the essence of human smartness..

I think i have to be more precise, so i will say that the process that gives the meaning with the human senses is like reification, since we say that reification is when you think of or treat something abstract as a physical thing. Reification is a complex idea for when you treat something immaterial — like happiness, fear, or evil — as a material thing. So the human process in the brain that gives meaning with human senses is by analogy like a the process of reification, since human senses gives life or meaning to ideas, those human senses give consciousness of the system composed of time and space and matter and the human brain "compose" meanings with this consciousness, this is why we are feeling life as we are feeling it.

I think i am a really smart philosopher, and i think i look like the great philosophers like Aristotle and such, since i am thinking
rapidly and inventing ideas and discovering patterns etc. so i think
that my brain is special, so here is what i have just discovered:

I think that artificial intelligence is not understanding correctly
what is human smartness, since i say that an "idea" is both a smartness
and a "meaning" that "guides" smartness, it is like the objective function of the dynamic system that is human smartness that guides and makes us know how to optimize, since i say that humans are "feeling" the
"ideas" with there human senses that comes also from the brain, and this feeling of the ideas is also what gives the ideas a meaning that guides,
and i also define the self-awareness like a human sense that feels
the oneself, so you are understanding now one of the basis
of my philosophy, since without those human senses, the algorithms
in a computer can not give a meaning that guides smartness, so i think it is the disadvantage of artificial intelligence. So here is how i think we have to do it with the algorithms:

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More precision about more philosophy about human smartness and about artificial intelligence..

I have to be more precision, so here is the definition in the dictionary of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful" patterns in the reality, so reality can contain static systems or dynamic systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm

More philosophy about the reification and human consciousness..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 06:35PM -0700

Hello,

More philosophy about the reification and human consciousness..

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

So i can ask a philosophical question of:

What is consciousness ?

I will give you a smart example so that you understand:

So when you feel with you hands and brain that a the table is solid,
so this feeling gives a "meaning" that guides our thinking,
so our human senses are doing the same, they are feeling what's
a moving object and feeling what's speed and feeling what's a fast speed or not fast speed and feeling what's an object that is before or after another object etc. and i say that those feelings with our senses give the meanings and it gives consciousness of time and space and matter, so our feelings of our human senses give life or human awareness or human consciousness that guides smartness, and notice that i am saying that an idea is both smartness and meaning , and notice that in mathematics
we can have the following formula of a derivative:

Derivative_of(2*x) = x

So this formula is a smartness, but the formula has also a "meaning"
given by our human senses , and i also define the self-awareness like a human sense that feels the oneself, so now you are understanding that an algorithm is like a formula that has not the meaning that is understood by a human, so artificial intelligence has a disadvantage since it is not guided by this meaning that plays the role of an objective function that permits to optimize correctly.

More precision about more philosophy about the essence of human smartness..

I think i have to be more precise, so i will say that the process that gives the meaning with the human senses is like reification, since we say that reification is when you think of or treat something abstract as a physical thing. Reification is a complex idea for when you treat something immaterial — like happiness, fear, or evil — as a material thing. So the human process in the brain that gives meaning with human senses is by analogy like a the process of reification, since human senses gives life or meaning to ideas, those human senses give consciousness of the system composed of time and space and matter and the human brain "compose" meanings with this consciousness, this is why we are feeling life as we are feeling it.

I think i am a really smart philosopher, and i think i look like the great philosophers like Aristotle and such, since i am thinking
rapidly and inventing ideas and discovering patterns etc. so i think
that my brain is special, so here is what i have just discovered:

I think that artificial intelligence is not understanding correctly
what is human smartness, since i say that an "idea" is both a smartness
and a "meaning" that "guides" smartness, it is like the objective function of the dynamic system that is human smartness that guides and makes us know how to optimize, since i say that humans are "feeling" the
"ideas" with there human senses that comes also from the brain, and this feeling of the ideas is also what gives the ideas a meaning that guides,
and i also define the self-awareness like a human sense that feels
the oneself, so you are understanding now one of the basis
of my philosophy, since without those human senses, the algorithms
in a computer can not give a meaning that guides smartness, so i think it is the disadvantage of artificial intelligence. So here is how i think we have to do it with the algorithms:

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More precision about more philosophy about human smartness and about artificial intelligence..

I have to be more precision, so here is the definition in the dictionary of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful" patterns in the reality, so reality can contain static systems or dynamic systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm intelligence here:

How Swarm Intelligence Is

More precision about more philosophy about the essence of human smartness..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 05:28PM -0700

Hello...

More precision about more philosophy about the essence of human smartness..

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

I think i have to be more precise, so i will say that the process that gives the meaning with the human senses is like reification, since we say that reification is when you think of or treat something abstract as a physical thing. Reification is a complex idea for when you treat something immaterial — like happiness, fear, or evil — as a material thing. So the human process in the brain that gives meaning with human senses is by analogy like a the process of reification, since human senses gives life or meaning to ideas, those human senses give consciousness of the system composed of time and space and matter and the human brain "compose" meanings with this consciousness, this is why we are feeling life as we are feeling it.

I think i am a really smart philosopher, and i think i look like the great philosophers like Aristotle and such, since i am thinking
rapidly and inventing ideas and discovering patterns etc. so i think
that my brain is special, so here is what i have just discovered:

I think that artificial intelligence is not understanding correctly
what is human smartness, since i say that an "idea" is both a smartness
and a "meaning" that "guides" smartness, it is like the objective function of the dynamic system that is human smartness that guides and makes us know how to optimize, since i say that humans are "feeling" the
"ideas" with there human senses that comes also from the brain, and this feeling of the ideas is also what gives the ideas a meaning that guides,
and i also define the self-awareness like a human sense that feels
the oneself, so you are understanding now one of the basis
of my philosophy, since without those human senses, the algorithms
in a computer can not give a meaning that guides smartness, so i think it is the disadvantage of artificial intelligence. So here is how i think we have to do it with the algorithms:

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More precision about more philosophy about human smartness and about artificial intelligence..

I have to be more precision, so here is the definition in the dictionary of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful" patterns in the reality, so reality can contain static systems or dynamic systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm intelligence here:

How Swarm Intelligence Is Making Simple Tech Much Smarter

https://singularityhub.com/2018/02/08/how-swarm-intelligence-is-making-simple-tech-much-smarter/

I think that humanity is using "specialization" and the "division" of labour that reduces complexity so that to be efficient, so our evolution looks like Swarm intelligence algorithms, since Swarm intelligence algorithms also have to both explore with a bigger size of the population of the Swarm intelligence algorithms and have to do exploitation so that to reduce complexity and be efficient, and this bigger size of of the population in Swarm intelligence algorithms that explore is the division of labour that we use and it is also a specialization and it looks like a divide and conquer algorithms, since notice in the mergesort algorithm that we are reducing the time complexity from for example a time complexity of an n^2 sorting algorithm to n*log(n), and you are noticing it clearly since the mergesort algorithm reduces much more the time complexity by recursively "dividing" the array of elements so that to obtain a small arrays that are already sorted(or we can sort the small arrays of 10 elements by using an algorithm of sorting of n^2 and it will be more efficient), and notice that when we obtain those small arrays that are already sorted, it is what reduces the complexity and brings much more efficiency, since we are recursively using the merge algorithm after that, and notice that

More philosophy about the essence of human smartness..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 05:00PM -0700

Hello,

More philosophy about the essence of human smartness..

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

I think i am a really smart philosopher, and i think i look like the great philosophers like Aristotle and such, since i am thinking
rapidly and inventing ideas and discovering patterns etc. so i think
that my brain is special, so here is what i have just discovered:

I think that artificial intelligence is not understanding correctly
what is human smartness, since i say that an "idea" is both a smartness
and a "meaning" that "guides" smartness, it is like the objective function of the dynamic system that is human smartness that guides and makes us know how to optimize, since i say that humans are "feeling" the
"ideas" with there human senses that comes also from the brain, and this feeling of the ideas is also what gives the ideas a meaning that guides,
and i also define the self-awareness like a human sense that feels
the oneself, so you are understanding now one of the basis
of my philosophy, since without those human senses, the algorithms
in a computer can not give a meaning that guides smartness, so i think it is the disadvantage of artificial intelligence. So here is how i think we have to do it with the algorithms:

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More precision about more philosophy about human smartness and about artificial intelligence..

I have to be more precision, so here is the definition in the dictionary of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful" patterns in the reality, so reality can contain static systems or dynamic systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm intelligence here:

How Swarm Intelligence Is Making Simple Tech Much Smarter

https://singularityhub.com/2018/02/08/how-swarm-intelligence-is-making-simple-tech-much-smarter/

I think that humanity is using "specialization" and the "division" of labour that reduces complexity so that to be efficient, so our evolution looks like Swarm intelligence algorithms, since Swarm intelligence algorithms also have to both explore with a bigger size of the population of the Swarm intelligence algorithms and have to do exploitation so that to reduce complexity and be efficient, and this bigger size of of the population in Swarm intelligence algorithms that explore is the division of labour that we use and it is also a specialization and it looks like a divide and conquer algorithms, since notice in the mergesort algorithm that we are reducing the time complexity from for example a time complexity of an n^2 sorting algorithm to n*log(n), and you are noticing it clearly since the mergesort algorithm reduces much more the time complexity by recursively "dividing" the array of elements so that to obtain a small arrays that are already sorted(or we can sort the small arrays of 10 elements by using an algorithm of sorting of n^2 and it will be more efficient), and notice that when we obtain those small arrays that are already sorted, it is what reduces the complexity and brings much more efficiency, since we are recursively using the merge algorithm after that, and notice that the mergesort is also like Swarm intelligence since when we recursively divide and obtain the already sorted arrays, notice that this recursively dividing leads to many already sorted arrays, and it is like the bigger size of the population in Swarm intelligence that explore and that leads to high efficiency, so i think that artificial
intelligence must be like a divide and conquer algorithm, so you divide like in a Divide and conquer algorithm so that to obtain a high quality
or high efficiency since you reduce complexity, so it looks
like PathNet in artificial intelligence, read my following thoughts about it:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

More philosophy about black box models and too much

More precision about more philosophy about human smartness and about artificial intelligence..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 03:37PM -0700

Hello,

More precision about more philosophy about human smartness and about artificial intelligence..

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

I have to be more precision, so here is the definition in the dictionary of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful" patterns in the reality, so reality can contain static systems or dynamic systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm intelligence here:

How Swarm Intelligence Is Making Simple Tech Much Smarter

https://singularityhub.com/2018/02/08/how-swarm-intelligence-is-making-simple-tech-much-smarter/

I think that humanity is using "specialization" and the "division" of labour that reduces complexity so that to be efficient, so our evolution looks like Swarm intelligence algorithms, since Swarm intelligence algorithms also have to both explore with a bigger size of the population of the Swarm intelligence algorithms and have to do exploitation so that to reduce complexity and be efficient, and this bigger size of of the population in Swarm intelligence algorithms that explore is the division of labour that we use and it is also a specialization and it looks like a divide and conquer algorithms, since notice in the mergesort algorithm that we are reducing the time complexity from for example a time complexity of an n^2 sorting algorithm to n*log(n), and you are noticing it clearly since the mergesort algorithm reduces much more the time complexity by recursively "dividing" the array of elements so that to obtain a small arrays that are already sorted(or we can sort the small arrays of 10 elements by using an algorithm of sorting of n^2 and it will be more efficient), and notice that when we obtain those small arrays that are already sorted, it is what reduces the complexity and brings much more efficiency, since we are recursively using the merge algorithm after that, and notice that the mergesort is also like Swarm intelligence since when we recursively divide and obtain the already sorted arrays, notice that this recursively dividing leads to many already sorted arrays, and it is like the bigger size of the population in Swarm intelligence that explore and that leads to high efficiency, so i think that artificial
intelligence must be like a divide and conquer algorithm, so you divide like in a Divide and conquer algorithm so that to obtain a high quality
or high efficiency since you reduce complexity, so it looks
like PathNet in artificial intelligence, read my following thoughts about it:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

More philosophy about black box models and too much abstraction..

I think that black box models in AI in deep learning etc. are also too much abstraction, and speaking about the too much abstraction, i invite you to read my following thoughts of my philosophy about Liberalism of the philosopher and economist Adam Smith:

https://groups.google.com/g/comp.programming.threads/c/-UEOsak12mM

So as you are noticing from my thoughts in the above web link that the economic Liberalism of Adam Smith is a too reductionist system that is too much abstraction that doesn't work correctly and i am explaining it in my thoughts above of my philosophy, other than that notice that economic Liberalism of Adam Smith is not even taking into account an important factor that i am speaking about in my below thoughts and it is the too much abstraction that can happen in economy and that can lead to inefficiency, so as you are noticing that this too much abstraction can not be based on monopolistic practices, but it can lead to inefficiency, i mean for example when you abstract too much, the others can not be able of understanding sufficiently and correctly the inside or the behind of your abstraction, so they can "lack" understanding and be inefficient, so we have to be careful about cloud computing of Amazon and such that can become a too much abstraction that leads to this kind of inefficiency, so i think it is too much abstraction if you program the software in a too high level way lacking programming and understanding of the lower level ways of programming.

More philosophy about abstraction and the Divide and Conquer methodology..

I think that humanity is abstracting much more with cloud computing and
with functional programming and such, but since i think i am a philosopher, there is a question in philosophy and it is the following:

Is abstraction always good ?

I think that abstraction comes with disadvantages and advantages,
so the best way is to know how to balance, it is like balancing between Evolutionary design with an agile discipline and Planned design since they both come with disadvantages and advantages, abstraction comes with an important disadvantage , and it is that it can become a monopolistic practice, i mean that when you abstract, the others can become too dependent on your abstraction and they can not understand the inside of the abstraction, so they can become inefficient, so we have to be careful about

More philosophy about human smartness and about artificial intelligence..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 03:15PM -0700

Hello...

More philosophy about human smartness and about artificial intelligence..

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

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discover "useful" patterns
in the reality, so reality can contain static systems or dynamic
systems that contain smartness in form of useful patterns etc., so human smartness uses its smartness to "discover" those useful patterns
so that to become more and more smart, and by discovering the useful patterns i also means knowing about there meanings of those useful patterns so that to understand them, it is by logical analogy like discovering the rules so that to become smart, so for example when we are doing mathematics we can discover the useful rules or useful patterns like the theorems in mathematics by using deductive logic and inductive logic, so i can go further and say that Swarm intelligence like PSO(Particle Swarm Optimization) is a self-organization, and Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent, so then Swarm intelligence like PSO(Particle Swarm Optimization) is self-organization since notice that the exploration mechanism of PSO that is the global optimization is "collaborating" with the exploitation mechanism of PSO that is the local optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm Optimization) a form of intelligence, this is why we call
it artificial intelligence,

Also you can read about my thoughts of my philosophy about human smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general artificial intelligence..

I think i am smart, and i have just explained below that the divide and conquer algorithms are a particular case or special case of Swarm intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence uses localized optimization with exploitation as heuristics like Greedy algorithms so that to enhance much more the artificial intelligence algorithm, but notice with me that general artificial intelligence can use Swarm intelligence like PSO at a lower level layer, and at a higher level layer it can use the divide and conquer algorithms, i mean that the unknown meaning can be divided and conquered by measuring it with previous meanings from the data using artifical intelligence of for example PathNET so that to find the unknown meaning, and i define the meaning in artificial intelligence as as the higher concept that is recognized with deep learning, and this way we can construct much more rapidly more and more meanings and incorporate them in PathNET so that to converge more and more to much more generalized artificial intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence of PSO(Particle Swarm Optimization) is guided by not only exploration but by the mechanism of exploitation, so this shows that this mechanism of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general problem-solving technique, since brute-force general problem-solving technique and algorithmic paradigm consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement, but notice that brute-force general problem-solving technique is not guided by the quality of exploitation of artificial intelligence of PSO(Particle Swarm Optimization), and i can say that the artificial intelligence of PSO(Particle Swarm Optimization) is Swarm intelligence that is more general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that is the "exploration" that finds a solution and after that there is an exploitation of this solution of this quality that is the already sorted small arrays in the case of mergesort that will permit the recursive merge algorithm to reduce the time complexity to n*log(n), so i think it is the same for PathNet in artificial intelligence that i also think uses a kind of divide and conquer algorithm.

Here is PathNet in artificial intelligence, read carefully about it here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46

More philosophy about declarative programming and imperative programming and object oriented programming..

I invite you to read the following interesting webpage from wikipedia
about declarative programming:

https://en.wikipedia.org/wiki/Declarative_programming

I think that declarative programming is too much abstraction
since Functional programming is declarative programming that attempts to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describe how to accomplish it as a sequence of the programming language primitives (the how being left up to the language's implementation). This is in contrast with imperative programming, which implements algorithms in explicit steps. So declarative programming like functional programming generally uses higher levels of abstractions than imperative programs or OOP. That is, they're further away from describing what's actually happening in the computer or lower level layers of programming, so i think that declarative programming like functional programming is too much abstraction that lacks understanding of the lower level layers of programming that is also very important to know so that to become efficient, so i think that this way of too much abstraction or/and too much centralization of cloud computing like of Amazon or functional programming and such look like the old way of too much centralization and too much abstraction of the mainframe computer that was lacking on efficiency, so then we have to know how to "balance" so that to be efficient.

More philosophy about functional programming and more..

I think that the Delphi List Monad and the Delphi Maybe Monad that i am giving below are not slower and they are working correctly.

I think i am smart and i understand the objections of neo-Nazism and white supremacism, but i think that neo-nazis and white supremacists are not thinking correctly, because there way of thinking there racial superiority is not the correct way simply because they are not taking
correctly into account the exponential progress of our humanity,
since i am convinced that with this exponential progress of our humanity
we will soon (in about 20 years or 30 years from now) be able to enhance much more our genetics and become much more smart
or much more beautiful and we will soon be able to do much more
than that because we will soon become so powerful because of this exponential progress of our humanity, so this is why i am not in accordance with white supremacism and neo-nazism since they have to adapt to this exponential progress of our humanity.

More philosophy about the exponential progress and about artificial intelligence..

I think i am smart and i think that we are going to become so powerful soon, i mean that this exponential progress of our humanity is an amazing thing, and i think that with this exponential progress, artificial intelligence too will soon become so powerful soon, so i think that the most important thing now is not to ask if we are going to become so powerful soon, but the most important thing it is that we have to ensure high "safety" or high "reliability" of this process of becoming so powerful by for example being a sophisticated philosophy. And i invite you to look at the following video so that to understand this exponential progress of our humanity:

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

https://www.youtube.com/watch?v=HfM5HXpfnJQ&t=144s

More philosophy about artificial intelligence and about the objective function that guides..

I think i am smart, and i have quickly thought about the objective
function of artificial intelligence that guides, so the important philosophical question in artificial intelligence is:

Is general artificial intelligence possible and what is the the objective function that guides general artificial intelligence ?

I think that the objective function of general artificial intelligence
is not the same as a gradient descent with wich we optimize, since i think that the objective function in artificial intelligence is
that we have to build like a model that approximate the result
of the reality, i mean that the objective function of general artificial intelligence has to be that we measure the meaning with the previous meanings from the data, and this way we approximate the meaning, so we have to build much more meanings and meaning from the data and we have to measure the unknown meaning with the previous meanings and if it doesn't approximate well, so it is like a baby that doesn't know about the meaning and it can become a dangerous environment for the baby like for general artificial intelligence, and my way is also valid in a distributed environment with many artificial intelligence robots, so i think that the more localized artificial intelligence will become incrementally and rapidly a more and more generalized artificial intelligence that can approximate a general artificial intelligence, so i think that general artificial intelligence is possible.

More philosophy about Swarm intelligence and about the too much abstraction and more..

I invite you to read about Swarm intelligence here:

How Swarm Intelligence Is Making Simple Tech Much Smarter

https://singularityhub.com/2018/02/08/how-swarm-intelligence-is-making-simple-tech-much-smarter/

I think that humanity is using "specialization" and the "division" of labour that reduces complexity so that to be efficient, so our evolution looks like Swarm intelligence algorithms, since Swarm intelligence algorithms also have to both explore with a bigger size of the population of the Swarm intelligence algorithms and have to do exploitation so that to reduce complexity and be efficient, and this bigger size of of the population in Swarm intelligence algorithms that explore is the division of labour that we use and it is also a specialization and it looks like a divide and conquer algorithms, since notice in the mergesort algorithm that we are reducing the time complexity from for example a time complexity of an n^2 sorting algorithm to n*log(n), and you are noticing it clearly since the mergesort algorithm reduces much more the time complexity by recursively "dividing" the array of elements so that to obtain a small arrays that are already sorted(or we can sort the small arrays of 10 elements by using an algorithm of sorting of n^2 and it will be more efficient), and notice that when we obtain those small arrays that are already sorted, it is what reduces the complexity and brings much more efficiency, since we are recursively using the merge algorithm after that, and notice that the mergesort is also like Swarm intelligence since when we recursively divide and obtain the already sorted arrays, notice that this recursively dividing leads to many already sorted arrays, and it is like the bigger size of the population in Swarm intelligence that explore and that leads to high efficiency, so i think that artificial
intelligence must be like a divide and conquer algorithm, so you divide like in a Divide and conquer algorithm so that to obtain a high quality
or high efficiency since you reduce complexity, so it looks
like PathNet in artificial intelligence, read my following thoughts about it:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

More philosophy about black box models and too much abstraction..

I think that black box models in AI in deep learning etc. are also too much abstraction, and speaking about the too much abstraction, i invite you to read my following thoughts of my philosophy about Liberalism of the philosopher and economist Adam Smith:

https://groups.google.com/g/comp.programming.threads/c/-UEOsak12mM

So as you are noticing from my thoughts in the above web link that the economic Liberalism of Adam Smith is a too reductionist system that is too much abstraction that doesn't work correctly and i am explaining it in my thoughts above of my philosophy, other than that notice that economic Liberalism of Adam Smith is not even taking into account an important factor that i am speaking about in my below thoughts and it is the too much abstraction that can happen in economy and that can lead to inefficiency, so as you are noticing that this too much abstraction can not be based on monopolistic practices, but it can lead to inefficiency, i mean for example when you abstract too much, the others can not be able of understanding sufficiently and correctly the inside or the behind of your abstraction, so they can "lack" understanding and be inefficient, so we have to be careful about cloud computing of Amazon and such that can become a too much abstraction that leads to this kind of inefficiency, so i think it is too much abstraction if you program the software in a too high level way lacking programming and understanding of the lower level ways of programming.

More philosophy about abstraction and the Divide and Conquer methodology..

I think that humanity is abstracting much more with cloud computing and
with functional programming and such, but since i think i am a philosopher, there is a question in philosophy and it is the following:

Is abstraction always good ?

I think that abstraction comes with disadvantages and advantages,
so the best way is to know how to balance, it is like balancing between Evolutionary design with an agile discipline and Planned design since they both come with disadvantages and advantages, abstraction comes with an important disadvantage , and it is that it can become a monopolistic practice, i mean that when you abstract, the others can become too dependent on your abstraction and they can not understand the inside of the abstraction, so they can become inefficient, so we have to be careful about abstraction since too much abstraction is not good, so i think that functional programming is too much abstraction and i think Chapel is too much abstraction, read here more about Chapel:

WILL CHAPEL MARK NEXT GREAT AWAKENING FOR PARALLEL PROGRAMMERS?

https://www.nextplatform.com/2018/04/10/will-chapel-mark-next-great-awakening-for-parallel-programmers/

More philosophy about how USA has become powerful and rich..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 01:19PM -0700

Hello,

More philosophy about how USA has become powerful and rich..

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

I have just looked at the following two videos about
MIT and Bill Gates, here they are:

REPORTAGE sur le MIT de Boston, La fabrique de génies

https://www.youtube.com/watch?v=ag45W_FTTiM

Bill Gates

https://www.youtube.com/watch?v=r8AsQ9TVKuA

And i think i am smart and i have just found with my smartness a pattern in the above videos that made USA so rich and powerful, and it is the following:

I think the pattern is that you have to invent by being creative and innovative and inventive and after that those inventions will bring big
money and after that big money will bring the smartest people from around the world to your country that also has made big money and they will follow the same pattern, this is the pattern that has followed USA so that to become powerful and rich.

And by logical analogy i have just said the following in my thoughts
of my philosophy that follows the same above pattern:

I have just talked before about the importance of the following
statement in business:

"The focus should be on the product, since if the product is good
the profits will follow"

But notice that it is saying that if the product is good then the
profits will follow, so as you are noticing we have to define what
is a good product ? and does a good product only comes from science or from engineering? not at all !, since the product can become good by the process of creativity, and then we have to define creativity, and creativity needs globalization, since creativity and innovation come from ideas circulating and combining across nations and industries, and i invite you to read about what is creativity in the following interesting web page from Yale university:

What Is Creativity?

https://insights.som.yale.edu/insights/what-is-creativity

Also by logical analogy i have also just said the following:

Why Israel is a Tech Capital of the World

https://www.youtube.com/watch?v=RuPx61911Oo

I think that this jewish from Israel that is talking in the above video is not thinking correctly, because there is two important things that you must have so that a country be successful: Capital and talents, the above video is making a mistake by saying that you need the two so that
to be successful, i mean it is saying that you need Capital and talents, but i think he is making a mistake, because i think that Capital can attract talents, so Capital can make you successful as a country, so then i can logically infer that so that to have capital that make you successful, you have to know how to construct a product or services that you can sell from those competitive advantages of competitive part or parts of product or service that can come from you or/and can come from different countries of the global world, and it is i think an efficient way that makes you adapt quickly and efficiently in this globalization, and notice with me that having competitive part or parts of a product or service doesn't mean it has to come from R&D(Research and development),
also the above video of the jewish from Israel is not saying that Capital can come from "democratization" of finance, since
you have to know that our global world has changed very much by being democratization of technology, democratization of finance, and democratization of information, read my following thoughts so that you also understand that Capital also comes from democratization of finance:

So i have invite you to read all my thoughts of my philosophy from here:

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

More philosophy about Canada and its education system..

I am living in Canada since year 1989, and i think Canada is the best country in the world, and here is the logical proof of it: Read the following about Canada to notice it:

Canada is the No. 1 Country in the World, According to the 2021 Best Countries Report

https://www.usnews.com/info/blogs/press-room/articles/2021-04-13/canada-is-the-no-1-country-in-the-world-according-to-2021-best-countries

And the education system of Canada is one of the best in the world, read the following to notice it:

How Canada became an education superpower

https://www.bbc.com/news/business-40708421

And to know more about USA, read my following writing:

More philosophy about USA and its education system..

I invite you to look carefully at this 9 minutes video of Michio Kaku
an American theoretical physicist, and he explains something really
important to know about USA:

Michio Kaku: US has the worst educational system known to science

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

Here is more proof, read my following writing about 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."

Read more here:

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

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

And read also the following to understand more:

Why Silicon Valley Wouldn't Work Without Immigrants

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

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

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

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

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

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

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

Read more here:

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

Thank you,
Amine Moulay Ramdane.

Japan approves chip development project with Taiwan's TSMC

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 12:50PM -0700

Hello...

I invite you to read how USA Intel company invented an entirely new insulation material to help dissipate heat in there new 3D packaging technology that stacks logic chips atop one another and we call the new
Intel CPU "Lakefield" 3D Chip, read more here to notice it:

https://www.wired.com/story/intel-lakefield/

And Taiwan's TSMC company and Japan want to do the same and there research will focus in particular on tech for 3D chip assembly, allowing the creation of components and chips that are more dense but still small, read carefully the following news so that to notice it:

Japan approves chip development project with Taiwan's TSMC

Read more here:

https://techxplore.com/news/2021-06-japan-chip-taiwan-tsmc.html

Thank you,
Amine Moulay Ramdane.

Here is more interesting news..

Amine Moulay Ramdane <aminer68@gmail.com>: Jun 01 11:43AM -0700

Hello,

Here is more interesting news..

Are Electric Vehicles Better Than Gas Vehicles?

Read more here:

https://interestingengineering.com/video/are-electric-vehicles-better-than-gas-vehicles

And i invite you to read all my following writing and interesting news:

I invite you to read the following interesting article:

Inching Towards Abundant Water: New Progress in Desalination Tech

https://singularityhub.com/2019/06/18/inching-towards-abundant-water-new-progress-in-desalination-tech/

And read my following interesting writing since it is proving that we will produce enough food for the world population that could peak at nearly 11 billion around 2100 and read after that my writing about global warming:

AI, robots and "vertical farms" integrate agriculture to produce 400
times more yield, using 95% less water and 99% less space

Read more here:

https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F311485%2FL-IA-les-robots-et-les-fermes-verticales-integrent-l-agriculture-pour-produire-400-fois-plus-de-rendement-en-utilisant-95-pourcent-moins-d-eau-et-99-pourcent-moins-d-espace%2F

2-Acre Vertical Farm Run By AI And Robots Out-Produces 720-Acre Flat Farm

Read more here:

https://www.intelligentliving.co/vertical-farm-out-produces-flat-farm/

Researchers create new form of cultivated meat

Read more here:

https://phys.org/news/2021-01-cultivated-meat.html?fbclid=IwAR0ldDm8cDeEEjwLol-TmAAouk0-YVg01wad96MMwoD2dYAf4inPCM6wDqk

More about immigration and the social protection system..

I have just read the following article from United Nations:

Growing at a slower pace, world population is expected to reach 9.7
billion in 2050 and could peak at nearly 11 billion around 2100

Read more here:

https://www.un.org/development/desa/en/news/population/world-population-prospects-2019.html

So notice that it says the following:

"Falling proportion of working-age population is putting pressure on
social protection systems

The potential support ratio, which compares numbers of persons at
working ages to those over age 65, is falling around the world. In Japan
this ratio is 1.8, the lowest in the world. An additional 29 countries,
mostly in Europe and the Caribbean, already have potential support
ratios below three. By 2050, 48 countries, mostly in Europe, Northern
America, and Eastern and South-Eastern Asia, are expected to have
potential support ratios below two. These low values underscore the
potential impact of population ageing on the labour market and economic
performance, as well as the fiscal pressures that many countries will
face in the coming decades as they seek to build and maintain public
systems of health care, pensions and social protection for older persons."

So this is why you have to read the following to understand more:

And I have just looked at this video of the french politician called
Jean-Marie Le Pen and he is saying in the video that with those flows of
immigrants in Europe that: "La 3ème Guerre mondiale est commencée", look
at the following video to notice it:

https://www.youtube.com/watch?v=Ene0hp7EAus

But i think that Jean-Marie Le Pen is "not" thinking correctly, because
if Western Europe wants to keep its social benefits, the countries of
the E.U. are going to need more workers. No place in the world has an
older population that's not into baby making than Europe, read more here
on Forbes to notice it:

Here's Why Europe Really Needs More Immigrants

https://www.forbes.com/sites/kenrapoza/2017/08/15/heres-why-europe-really-needs-more-immigrants/#7319e2e24917

I have just read the following interesting article,
i invite you to read it carefully:

Does Our Survival Depend on Relentless Exponential Growth?

https://singularityhub.com/2017/10/11/do-we-need-relentless-exponential-growth-to-survive/

As you also notice that the article above says the following:

"There have concurrently been developments in agriculture and medicine
and, in the 20th century, the Green Revolution, in which Norman Borlaug
ensured that countries adopted high-yield varieties of crops—the first
precursors to modern ideas of genetically engineering food to produce
better crops and more growth. The world was able to produce an
astonishing amount of food—enough, in the modern era, for ten billion
people."

So i think that the world will be able to produce enough food for world
population in year 2100, since around 2100, the world population will
peak at nearly 11 billions, read the following article to notice it:

Growing at a slower pace, world population is expected to reach 9.7
billion in 2050 and could peak at nearly 11 billion around 2100

Read more here:

https://www.un.org/development/desa/en/news/population/world-population-prospects-2019.html

More of my philosophy of how to reduce global warming..

First i will give some numbers:

- Nuclear produces 4 grams of CO2 per kilowatt hour
- Solar produces 60 grams of CO2 per kilowatt hour
- Gas produces 420 grams of CO2 per kilowatt hour
- Coal produces 800 grams of CO2 per kilowatt hour
- Fuel produces 1500 grams of CO2 per kilowatt hour
- Fusion reactor would not burn fossil fuels and would not produce
greenhouse-gas emissions

So i think that the best way to fight global warming is also to use
Fusion reactors and green hydrogen cars and vehicles(read my above news about them) and Electric cars and vehicles and to reduce
birth rate in Africa and India and such that have high birth rates.

So read the following articles to understand:

Compact Nuclear Fusion Reactor Is 'Very Likely to Work,' Studies Suggest

Read more here:

https://www.nytimes.com/2020/09/29/climate/nuclear-fusion-reactor.html

Big Oil is getting scared of electric vehicles – and so it should be

Read more here:

https://www.forbes.com/sites/jamesmorris/2021/01/02/big-oil-is-getting-scared-of-electric-vehicles--and-so-it-should-be/?fbclid=IwAR0W-MktfUWSg_pFJMiF0Kmv6e2WdryXnSpSuijuUM5FluI88EiBfpFyNBU&sh=6e5a61683e70

And Tesla's $25,000 electric car could be coming sooner than we thought

Read more here:

https://electrek.co/2021/01/08/tesla-25000-electric-car-coming-sooner-than-we-thought/?fbclid=IwAR2-YTjHUZraHRfNGDDHaX7pjOtiq-K-jQk8yLmIRTCb4z6sGpiFczhAW3U

Chevron, Toyota announce alliance on hydrogen technology

Read more here:

https://techxplore.com/news/2021-04-chevron-toyota-alliance-hydrogen-technology.html?fbclid=IwAR1o9uqyZqSNCldcSdNQZoZ5UXaN3voab5FVl3A5iHi0s0v-Ut5vrWQSOE8

I invite you to read the following interesting article about Green hydrogen:

Green hydrogen is at the heart of the energy transition

https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fwww.lesoirdalgerie.com%2Fcontribution%2Flhydrogene-vert-est-au-coeur-de-la-transition-energetique-60028

More philosophy about Climate crisis and more..

Read the following articles that i have just posted:

----

Top scientists warn of 'ghastly future of mass extinction' and climate disruption

Read more here:

https://www.theguardian.com/environment/2021/jan/13/top-scientists-warn-of-ghastly-future-of-mass-extinction-and-climate-disruption-aoe?fbclid=IwAR13l50fDe_BC8zvEnRKUWOcT7pKlcw2zV1KsIiw1gX7L7cyPzcgTACBo8c

Climate crisis: 11,000 scientists warn of 'untold suffering'

Read more here:

https://www.theguardian.com/environment/2019/nov/05/climate-crisis-11000-scientists-warn-of-untold-suffering

----

And i invite you to read the following from United Nations:

https://www.un.org/en/un75/climate-crisis-race-we-can-win

So As you notice that they are saying:

"...Rising temperatures are fueling environmental degradation, natural disasters, weather extremes, food and water insecurity, economic disruption, conflict, and terrorism..."

So i think that the most important problem is the climate crisis, but i think we have to be optimistic since here is the news that i have just posted that shows that we can efficiently fight Global Warming and Climate Change:

I invite you to look at the following interesting video about green hydrogen:

Hydrogen: Checkmate to OIL's Dominance? - VisualPolitik EN

https://www.youtube.com/watch?v=Qer0HD5VPgU

And read my following writing on green hydrogen:

H2Pro's dollar-a-kilo green hydrogen: a 20-year leap in clean energy?

Israeli company H2Pro claims its highly efficient water-splitting technology will deliver green hydrogen at less than US$1 per kilogram before 2030. That's a big deal; it would represent a 60-80 percent drop in green H2 prices, down to a level where it's cheaper per unit of energy than current retail gasoline prices in the United States.

Read more here:

https://newatlas.com/energy/h2pro-cheap-hydrogen-electrolysis/

This hydrogen paste has a similar range to that of gasoline and could revolutionize the transport industry

Read more here:

https://www.businessinsider.com/car-bike-tesla-amazon-gates-bezos-climate-change-fuel-drone-2021-2?r=US&IR=T&fbclid=IwAR3zZ_fb7ko5OwIdLoiiKXxbPfjeHyMJwWMVG8MbLs15Pf2VcLwqVErqkJI

Thank you,
Amine Moulay Ramdane.

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Wednesday, June 2, 2021

Digest for comp.programming.threads@googlegroups.com - 9 updates in 9 topics

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