Hey, can You check this out ------------> https://groups.google.com/g/sci.physics/c/8-FjBuHtUwM
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On Monday, January 2, 2023 at 7:43:09 PM UTC+2, Amine Moulay Ramdane wrote:

Hello,

More of my philosophy about creativity of artificial intelligence such as ChatGPT and more of my thoughts..

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

I invite you to read the following article that says the following
about artificial intelligence such as ChatGPT:

"Stakeholders in the IT development sector are nevertheless of the opinion that artificial intelligence is only good for automating redundant tasks and will not go beyond this level. The development of specifications or specifications for large IT

projects remains a task that requires the creativity of a human brain that an artificial intelligence will never have."

Read more in the following web link (and you have to translate the article from french to english):

AI startup predicts 'relying on humans to write programs will be outdated in the future'

https://intelligence-artificielle.developpez.com/actu/339951/Une-startup-specialisee-en-IA-predit-que-s-appuyer-sur-des-humains-pour-ecrire-des-programmes-sera-depasse-a-l-avenir-et-ravive-le-debat-sur-la-possible-disparition-du-metier-de-developpeur/

So i think that the above saying from Stakeholders in the IT development sector is not so correct, since artificial intelligence such as ChatGPT
can be "creative" by also composing patterns that it discovers from the data it has been trained on, so i say that language models like ChatGPT are as good as the data they have been trained on, they are simply programmed to generate text based on

patterns in the data they have been trained on. But i invite you to read about the weaknesses of artificial intelligence such as ChatGPT in my following previous thoughts:

More of my philosophy about the weaknesses of ChatGPT and about
artificial intelligence and more of my thoughts..

I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ, and I think that ChatGPT has been trained not on only free data but on Common Crawl (filtered) and WebText2 and

Book1 and Book2 and Wikipedia, other than that i say that language models like ChatGPT are as good as the data they have been trained on, they are simply programmed to generate text based on patterns in the data they have been trained on. So i think i am
discovering the pattern with my fluid intelligence that explains the weakness of Generative Pre-trained Transformer of like ChatGPT, and it is that ChatGPT can discover the patterns using the existing patterns from the data or knowledge, so it is like
using the smartness of the data, but ChatGPT can not use the smartness of the human brain that also comes with human consciousness that optimizes more smartness, so it can not invent highly smart patterns or things from like is doing it a highly smart
human from his brain, since i think that for example human consciousness creates the "meaning" that optimizes more smartness and enhance smartness, but ChatGPT has no meaning like with human consciousness, but it is like calculations on the data so that
to find the patterns done by being limited by the smartness of the data, and even the generative side of ChatGPT is limited by the smartness of the data, so i think that ChatGPT will still be not capable of this kind of highly smart creativity, but still
it remains really powerful and really useful, so the next step is to crack the code of human consciousness and understand how human consciousness is made so that to give "meaning" that optimizes more smartness and enhance smartness, since if the smart
pattern to be discovered has an unknown territory by lack of meaning from human consciousness to the smartness of the data that has to be discovered by using the meaning from human consciousness, the meaning from human consciousness permit to construct
the smartness that can discover the unknown territory by lack of meaning from the smartness of the data , i mean that discovering patterns from the data is less sophisticated smartness as discovering them using the meaning from the human consciousness,
since the meaning from human consciousness permits to decrypt or understand from the low level to the high level when the pattern is unknown to the smartness of the data by lack of meaning from human consciousness, so i invite you to read my following
previous thoughts that make you understand my views:

Here is my new proverb about artificial intelligence such as ChatGPT:

"The most important in artificial intelligence is not to make it performant, but it is to make it in accordance with the legal system, since if you make artificial intelligence such as ChatGPT too much performant too much rapidly , it can hurt the

system and make it too much unstable, so the most important in a legal system is to balance correctly the performance with the being stability or being order."

So i invite you to read my below thoughts of how to regulate ChatGPT
so that you notice that the problem is that ChatGPT is too much performant too much rapidly, so you have to know how to correctly balance the performance with the being stability or being order, so here is my
thoughts and reread them carefully so that you understand my views:

More of my philosophy about how to regulate ChatGPT and artificial intelligence and more of my thoughts..

So i think that OpenAI is not thinking correctly, since the ChatGPT
is taking the patterns from the data of creativity of humans and is using them, so i don't think that it has the right to do that, since it is "clear" in our legal system that humans that have also created the patterns of there creativity have not

given the rights to make an artificial intelligence such as ChatGPT with them that can hurt humans in a not lawful way, since the value of a product or service comes from smartness and/or from work or the hard work, but artificial intelligence tools such
as ChatGPT are hurting in a not lawful way humans and are hurting in a not lawful way the value of creativity of a product or service that comes from smartness and/or work or hard work of a human, since the fact that ChatGPT makes it much more easy to be
creative , so this also hurts the value, and i invite you to read my previous thoughts so that to understand my views:

More of my philosophy about the weakness of Generative Pre-trained Transformer and more of my thoughts..

So i think i am discovering the pattern with my fluid intelligence that explains the weakness of Generative Pre-trained Transformer of like ChatGPT, and it is that ChatGPT can discover the patterns using
the existing patterns from the data or knowledge, so it is like using
the smartness of the data, but ChatGPT can not use the smartness of the human brain that also comes with human consciousness that optimizes more smartness, so it can not invent highly smart patterns or things from like is doing it a highly smart human

from his brain, so i think that ChatGPT will still be not capable of this kind of highly smart creativity, but still it remains really powerful and really useful, so i invite you to read my following previous thoughts that make you understand my views:

More precision of my philosophy about the mechanisms of attention and self-attention of Transformers AI models and more of my thoughts..

I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ, i think i am understanding deep learning, but i say that Transformers are deep learning + self-attention and

attention, and this attention and self-attention permit to grasp "context" and "antecedents", for example when you say the following sentence:

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

So we can ask how the artificial intelligence of ChatGPT that uses Generative Pre-trained Transformer will understand that the "it" in
the above sentence is not the street but the animal, so i say that
it is with self-attention and attention mechanisms of artificial intelligence and with the training with more and more data that the transformer can "detect" the pattern of the "it" refers to the "animal" in the above sentence, so self-attention and

attention of the artificial intelligence of ChatGPT that we call Generative Pre-trained Transformer permit to grasp "context" and "antecedents" too, it is also like logically inferring the patterns using self-attention and attention from the context of
the many many sentences from the data, and since the data is exponentially growing and since the artificial intelligence is also generative, so i think it will permit to make the artificial intelligence of the transformer much more powerful, so as you
notice that the data is King , and the "generative" word of the Generative Pre-trained Transformer refers to the model's ability to generate text, and of course we are now noticing that it is making ChatGPT really useful and powerful, and of course i say
that ChatGPT will still much more improve , and read my following previous thoughts so that to understand my views about it:

More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts..

The capabilities of transformer architectures, as in GPT of ChatGPT that is called Generative Pre-trained Transformer, are truly remarkable, as they allow machine learning models to surpass human reading comprehension and cognitive abilities in many

ways. These models are trained on massive amounts of text data, including entire corpora such as the English Wikipedia or the entire internet, which enables them to become highly advanced language models (LMs) with a deep understanding of language and
the ability to perform complex predictive analytics based on text analysis. The result is a model that is able to approximate human-level text cognition, or reading, to an exceptional degree - not just simple comprehension, but also the ability to make
sophisticated connections and interpretations about the text, because the network of Transformer pay “attention” to multiple sentences, enabling it to grasp "context" and "antecedents". These transformer models represent a significant advancement in
the field of natural language processing and have the potential to revolutionize how we interact with and understand language.

GPT-4 is significantly larger and more powerful than GPT-3, with 170 trillion parameters compared to GPT-3’s 175 billion parameters(and even GPT-3.5 of the new ChatGPT has 175 billion parameters). This allows GPT-4 to process and generate text with

greater accuracy and fluency, so with feedback from users and a more powerful GPT-4 model coming up and by being trained on a substantially larger amount of data , ChatGPT that will use GPT-4 may "significantly" improve in the future. So i think ChatGPT
will still become much more powerful. And i invite you to read my previous thoughts about my experience with the new ChatGPT:

More of my philosophy about my experience with ChatGPT and about artificial intelligence and more of my thoughts..

I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ,
so in those two last days i have just tested ChatGPT so that to see if
this new artificial intelligence launched by OpenAI in November 2022 is efficient, and i think that it is really useful, since i think by testing it that it can score well on the human average smartness, but if you want it to be highly smart by

inventing highly smart things , it will not be able to do it, but if you want ChatGPT to be highly smart on what it has learned from the existing smartness of the human knowledge that it has been trained on, i think it can also score high in many times
of it, also ChatGPT can in many times make much less errors than humans, so i think that ChatGPT is really useful, and i think that ChatGPT will be improved much more by increasing the size of its transformer (A transformer is a deep learning model that
adopts the mechanism of self-attention) , and i also think that ChatGPT will be improved much more when it will be trained on a substantially larger amount of data, considering an article that DeepMind just published a few days ago demonstrating that the
performance of these models can be drastically improved by scaling data more aggressively than parameters ( Read it here: https://arxiv.org/pdf/2203.15556.pdf ), and it is

why i am optimistic about the performance of ChatGPT and i think that it will be much more improved.

Thank you,
Amine Moulay Ramdane.

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